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Ahmadi, Seyed Mohammad, and Mohammad Mehdi Fateh. "On the Taylor series asymptotic tracking control of robots." Robotica 37, no. 3 (October 12, 2018): 405–27. http://dx.doi.org/10.1017/s0263574718001078.
Повний текст джерелаАнотація:
SUMMARYAchieving the asymptotic tracking control of electrically driven robot manipulators is a challenging problem due to approximation/modelling error arising from parametric and non-parametric uncertainty. Thanks to the specific property of Taylor series systems as they are universal approximators, this research outlines two robust control schemes using an adaptive Taylor series system for robot manipulators, including actuators' dynamics. First, an indirect adaptive controller is designed such as to approximate an uncertain continuous function by using a Taylor series system in the proposed control law. Second, a direct adaptive scheme is established to employ the Taylor series system as a controller. In both controllers, not only a robustifying term is constructed using the estimation of the upper bound of approximation/modelling error, but the closed-loop stability, as well as the asymptotic convergence of joint-space tracking error and its time derivative, is ensured. Due to the design of the Taylor series system in the tracking error space, our technique clearly has an advantage over fuzzy and neural network-based control methods in terms of the small number of tuning parameters and inputs. The proposed methods are simple, model free in decentralized forms, no need for uncertainty bounding functions and perfectly capable of dealing with parametric and non-parametric uncertainty and measurement noise. Finally, simulation results are introduced to confirm the efficiency of the proposed control methods.
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Afgani, Muhammad Win, Didi Suryadi, and Jarnawi Afgani Dahlan. "The enhancement of pre-service mathematics teachers’ mathematical understanding ability through ACE teaching cyclic." Journal of Technology and Science Education 9, no. 2 (March 1, 2019): 153. http://dx.doi.org/10.3926/jotse.441.
Повний текст джерелаАнотація:
The aim of this study was to investigate the enhancement of the mathematical understanding ability of pre-service mathematics teachers through Activity-Class Discussion-Exercise (ACE) teaching cyclic based on APOS theory. This study used a quasi-experiment method with non-equivalent pre-post test control group design. The subjects of this study were 120 pre-service mathematics teachers from two universities in Palembang, Indonesia. The subjects were divided into two class, that is, experiment and control class. Experiment class was a class that is applied ADE teaching cyclic based on APOS theory, whereas control class was a class that is applied direct learning. The subjects were also divided into three groups of mathematical initial ability, that is, high, average, and low. The Instruments used in this study were mathematical initial ability test, mathematical understanding ability test, observation, and interview. Data analysis tests used in this study were statistic test of parametric and non-parametric. The results of data analysis showed that 1) there is no significant difference between the improvement of mathematical understanding ability of pre-service mathematics teachers applied ACE teaching cyclic based on APOS theory and direct learning in terms of overall and the group of mathematical initial ability, 2) there is no interaction between learning factors (APOS and direct learning) and the group of mathematical initial ability (high, average, and low) to the improvement of mathematical understanding ability of pre-service mathematics teachers.
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Khadidos, Alaa O., Adil O. Khadidos, Hariprasath Manoharan, Khaled H. Alyoubi, Abdulrhman M. Alshareef, and Shitharth Selvarajan. "Integrating Industrial Appliances for Security Enhancement in Data Point Using SCADA Networks with Learning Algorithm." International Transactions on Electrical Energy Systems 2022 (September 15, 2022): 1–11. http://dx.doi.org/10.1155/2022/8685235.
Повний текст джерелаАнотація:
The process of ensuring automatic operation for industrial appliances using both supervision and control techniques is a challenging task. Therefore, this article focuses on implementing Supervisory Control and Data Acquisition (SCADA) for controlling all industrial appliances. The design process of implementation case is performed using an analytical framework by examining the primary energy sources at the initial state; thus, a smart network is supported. The designed mathematical model is integrated with a learning technique that allocates resources at proper quantities. Further, the complex manual tuning of individual appliances is avoided in the projected method as the input variables are driven in a direct way at reduced loss state. In addition, the data processing state of individual appliances is carried out using central data controller where all parametric values are stored. In case any errors are observed, then SCADA network fixes the error in an automated way, reducing end-to-end delays in all appliances. To validate the effectiveness of the proposed method, five scenarios are examined and simulated where outcomes prove that SCADA network using learning models provides optimal results on an average of 84 percent as compared to the existing models without learning algorithm.
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Riaz, Fahid, Fu Zhi Yam, Muhammad Abdul Qyyum, Muhammad Wakil Shahzad, Muhammad Farooq, Poh Seng Lee, and Moonyong Lee. "Direct Analytical Modeling for Optimal, On-Design Performance of Ejector for Simulating Heat-Driven Systems." Energies 14, no. 10 (May 14, 2021): 2819. http://dx.doi.org/10.3390/en14102819.
Повний текст джерелаАнотація:
This paper describes an ejector model for the prediction of on-design performance under available conditions. This is a direct method of calculating the optimal ejector performance (entrainment ratio or ER) without the need for iterative methods, which have been conventionally used. The values of three ejector efficiencies used to account for losses in the ejector are calculated by using a systematic approach (by employing CFD analysis) rather than the hit and trial method. Both experimental and analytical data from literature are used to validate the presented analytical model with good agreement for on-design performance. R245fa working fluid has been used for low-grade heat applications, and Engineering Equation Solver (EES) has been employed for simulating the proposed model. The presented model is suitable for integration with any thermal system model and its optimization because of its direct, non-iterative methodology. This model is a non-dimensional model and therefore requires no geometrical dimensions to be able to calculate ejector performance. The model has been validated against various experimental results, and the model is employed to generate the ejector performance curves for R245fa working fluid. In addition, system simulation results of the ejector refrigeration system (ERS) and combined cooling and power (CCP) system have been produced by using the proposed analytical model.
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Conde, Marcos V., Steven McDonagh, Matteo Maggioni, Ales Leonardis, and Eduardo Pérez-Pellitero. "Model-Based Image Signal Processors via Learnable Dictionaries." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 481–89. http://dx.doi.org/10.1609/aaai.v36i1.19926.
Повний текст джерелаАнотація:
Digital cameras transform sensor RAW readings into RGB images by means of their Image Signal Processor (ISP). Computational photography tasks such as image denoising and colour constancy are commonly performed in the RAW domain, in part due to the inherent hardware design, but also due to the appealing simplicity of noise statistics that result from the direct sensor readings. Despite this, the availability of RAW images is limited in comparison with the abundance and diversity of available RGB data. Recent approaches have attempted to bridge this gap by estimating the RGB to RAW mapping: handcrafted model-based methods that are interpretable and controllable usually require manual parameter fine-tuning, while end-to-end learnable neural networks require large amounts of training data, at times with complex training procedures, and generally lack interpretability and parametric control. Towards addressing these existing limitations, we present a novel hybrid model-based and data-driven ISP that builds on canonical ISP operations and is both learnable and interpretable. Our proposed invertible model, capable of bidirectional mapping between RAW and RGB domains, employs end-to-end learning of rich parameter representations, i.e. dictionaries, that are free from direct parametric supervision and additionally enable simple and plausible data augmentation. We evidence the value of our data generation process by extensive experiments under both RAW image reconstruction and RAW image denoising tasks, obtaining state-of-the-art performance in both. Additionally, we show that our ISP can learn meaningful mappings from few data samples, and that denoising models trained with our dictionary-based data augmentation are competitive despite having only few or zero ground-truth labels.
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Kayser, Georgia L., William Moomaw, Jose Miguel Orellana Portillo, and Jeffrey K. Griffiths. "Circuit Rider post-construction support: improvements in domestic water quality and system sustainability in El Salvador." Journal of Water, Sanitation and Hygiene for Development 4, no. 3 (May 10, 2014): 460–70. http://dx.doi.org/10.2166/washdev.2014.136.
Повний текст джерелаАнотація:
Small piped water supply systems are often unable to provide reliable, microbiologically safe, and sustainable service over time, and this has direct impacts on public health. Circuit Rider (CR) post-construction support (PCS) addresses this through the provision of technical, financial, and operational assistance to these systems. CRPCS operates in low and high-income countries; yet, no rigorous studies of CRPCS exist. We measured the impact of CRPCS on ‘water quality’ and ‘sustainability’ indicators (technical and administrative capacity, and water supply protection) in El Salvador. In this field-based study, a case-control design was utilized in 60 randomly selected case (28 CR) and comparable control (32 noCR) communities. Microbiological water quality tests and pre-tested structured key-informant interviews were conducted. The operational costs of CRPCS were also assessed. Data were compared using parametric and non-parametric statistical methods. We found communities with CRPCS had significantly lower microbiological water contamination, better disinfection rates, higher water fee payment rates, greater transparency (measured by auditable banking records), greater rates of household metering, and higher spending for repairs and water treatment than comparable control communities. CRPCS is also a low-cost (<$1 per household/year in El Salvador) drinking water intervention.
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Adhimah, Syifaul, Bachtiar Syaiful Bachri, and Miftakhul Jannah. "The Effect of Cooking Class on the Cognitive Abilities of Group a Kindergarten Children in Cluster IV Gedangan Sidoarjo District." Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram 11, no. 1 (January 25, 2023): 94. http://dx.doi.org/10.33394/j-ps.v11i1.6714.
Повний текст джерелаАнотація:
This study aims to determine the effect of cooking class activities on the cognitive abilities of group A children in Cluster IV, Gedangan Sidoarjo District. This study uses a quasi-experimental design through a quantitative approach. The experimental design used was nonequivalent control group design. The subjects in this study were the children of group A RA Al Islah Karangbong with a total of 51 children as the experimental group and PAUD Tashwirul Afkar Karangbong with a total of 30 children as the control group. Data analysis techniques in this study used non-parametric statistics with the Mann Whitney Test. The results of this study indicate that "there is an effect of cooking class activities on the cognitive abilities of Group A kindergarten children in Cluster IV Gedangan Sidoarjo District" with a statistical value of Z = -4.076 with a significance level of 0.000 or less than 5%. This shows that there is an effect of cooking class activities on the cognitive abilities of Group A kindergarten children. Cooking class activities can be used as an interesting and fun learning reference for children in improving children's cognitive abilities because children get direct experience.
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Tarancon-Diez, Laura, Rebeca S. De Pablo-Bernal, Ana I. Alvarez-Ríos, Isaac Rosado-Sánchez, Beatriz Dominguez-Molina, Miguel Genebat, Yolanda M. Pacheco, et al. "CCR5+ CD8 T-cell levels and monocyte activation precede the onset of acute coronary syndrome in HIV-infected patients on antiretroviral therapy." Thrombosis and Haemostasis 117, no. 06 (2017): 1141–49. http://dx.doi.org/10.1160/th16-11-0867.
Повний текст джерелаАнотація:
SummaryAcute coronary syndrome (ACS) is nowadays one of the leading causes of morbid-mortality in HIV-infected population, but innate and adaptive immune mechanisms preceding this event are unknown. In this work we comprehensively and longitudinally observed, by multi-parametric flow cytometry and following a case-control design, increased CCR5+CD8+ T-cells levels and monocytes expressing activation and adhesion markers in HIV-infected patients who are going to suffer ACS. In addition, we found direct associations between activated CD8+ T-cells and myeloid cells that were only statistically significant in the group of patients with ACS and in the follow up time point just before the ACS. Our data highlight the important role of CCR5 in the onset of ACS and suggest this receptor as a marker of cardiovascular risk and potential therapeutic target to prevent the development of such non-AIDS-related event in HIV-infected patients.Note: This work was presented at the CROI 2016 conference (Boston, USA in February 2016).
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Haselschwerdt, Megan L., Kathleen Hlavaty, Camille Carlson, Mallory Schneider, Lauren Maddox, and Megan Skipper. "Heterogeneity Within Domestic Violence Exposure: Young Adults’ Retrospective Experiences." Journal of Interpersonal Violence 34, no. 7 (June 1, 2016): 1512–38. http://dx.doi.org/10.1177/0886260516651625.
Повний текст джерелаАнотація:
Using Holden’s taxonomy of domestic violence (DV) exposure as a guiding framework, the current study examined young adults’ diverse DV exposure experiences. Twenty-five young adults (ages 19-25) exposed to father-perpetrated DV during their childhood and adolescence were interviewed using a qualitative descriptive design. Data analyses focused on coercive control exposure through reports of non-physical abuse tactics, types of exposure (e.g., direct, indirect), physical violence exposure (e.g., severity, frequency), and child abuse and harsh parenting practices. DV-exposed young adults were directly and indirectly exposed to physical violence and an array of non-physical abuse tactics toward their mothers. Young adults categorized as having been exposed to coercive controlling violence reported exposure to ongoing, non-physical abuse tactics and more frequent and severe physical violence. These young adults were also more likely to intervene and become victimized during physical violence and reported repeated episodes of child abuse and harsh parenting. Although coercive control appeared to be associated with physical violence and child abuse, generalizations should be made with caution as a few participants exposed to situational conflict were exposed to frequent and severe DV. The findings suggest that DV exposure should be measured in methodologically sophisticated ways to capture the heterogeneity in experiences, with the goal of promoting empirically driven intervention and prevention initiatives that are tailored to individual and family needs.
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Popa, Dorina Nicoleta, Victoria Bogdan, Claudia Diana Sabau Popa, Marioara Belenesi, and Alina Badulescu. "Performance mapping in two-step cluster analysis through ESEG disclosures and EPS." Kybernetes 51, no. 13 (January 19, 2022): 98–118. http://dx.doi.org/10.1108/k-08-2021-0672.
Повний текст джерелаАнотація:
PurposeThe purpose of this work is twofold. First, looks to identify the main homogenous groups of companies after environmental, social, economic and governance (ESEG) disclosures, non-financial statement and earnings per share (EPS), and second investigates the connection between variables.Design/methodology/approachUsing financial and non-financial information from annual reports of private listed companies, the authors performed two-step cluster analysis (TSCA) in the first stage of the research, followed by parametric, nonparametric correlation analysis, as well as regression analysis based on panel data, in the second stage.FindingsResults of TSCA revealed a cluster of companies with good financial and non-financial outcomes and a cluster of companies with poor performance. The performance dynamics showed a slight improvement during the period for few companies and composition analysis of clusters by industries through Kruskal–Wallis test highlighted differences between clusters, only for 2017. The main findings confirm a direct, although weak in intensity but statistically significant correlation between ESEG disclosure index, its sustainability component and financial performance (FP), valid for the entire period. Also, the results showed a direct link of low intensity to average, but statistically significant between the non-financial statement and EPS, valid only for 2017 and 2018.Research limitations/implicationsThe results indicate mixed findings which invites further in-depth research. Limits of the study can be found in selected indicators and the short period of time analyzed. However, the practical implications are worth considering from the perspective of finding new managerial tools that can better shape the relationship between ESEG disclosures and FP.Practical implicationsESEG Dindx can be an instrument for managers that can optimize the link between the FP of companies and its sustainable development.Social implicationsESEG Dindx measures the disclosure degree of ESEG information by the companies listed on Bucharest Stock Exchange (BSE). The main findings of the work confirm a direct, although weak in intensity but statistically significant correlation between ESEG disclosure index, its sustainability component and FP, valid for the entire period.Originality/valueThis study adds value to the existing literature by the proposed research framework, design of ESEG Dindx and the way correlations between variables were investigated.
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Nurpalah, Gina, Muhammad Anjar Nugraha, and Lusiana Suciati Dewi. "The Influence Of Online Board Game (Rhetoric) Towards Students' Speaking Skill." Biormatika : Jurnal ilmiah fakultas keguruan dan ilmu pendidikan 8, no. 1 (February 28, 2022): 157–61. http://dx.doi.org/10.35569/biormatika.v8i1.1218.
Повний текст джерелаАнотація:
Research conducted in SMAN 1 Ciasem. This research used a quantitative and qualitative method. The data was served numerically and tested by non-parametric statistic Mann-Whitney. The design of the study was quasi-experimental. An oral test was used as the research instrument to get the data, consisting of pre-test and post-test questionnaires and observation to know the students’ attitude in Speaking Skills. Based on the explanation above the purpose of this research is to find out the influence of Online board Game (Rhetoric) towards Students’ Speaking skill. The result of the research in experiment class and control class in post-test data the significance Asymp. Sig (2-tailed) in the pre-test is 0.127, and the score is more than the significant (?) = 0.05. and the Asymp. Sig (2-tailed) in post-test is 0.319 it shows that the value is more than the significant hypothesis criteria 0.05 the result is H0 is accepted. It shows that the Correlation (R) value is 0.193a and R Square is 0.37, and the significant value from the Anovaa 402b >0.05 the result H0 Accepted. It concluded that the correlation between online board games on speaking skills affects the amount of 3,7% and other variables influence 96,3%. It means that there is no significant influence of Online Board Game (Rhetoric) towards students’ speaking skills in the other words tells that the variable X (questionnaire) then declines variable Y (post-test). However, although there is no achievement in a significant value, the results showed that the use of Online Board Game (Rhetoric) positively affected student engagement and motivation. The way the teacher manages two classes has similarities in behavior, attitude, and values. But there are deficiencies in delivering material and direct communication with students because of online learning and can affect students’ actively responding when learning begins.
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Ray, Markqayne, Elyse Swallow, Kavita Gandhi, Christopher Carley, Vanja Sikirica, Travis Wang, Nicolae Done, James Signorovitch, and Arash Mostaghimi. "Chronic Myeloid Leukemia: Part I—Real-World Treatment Patterns, Healthcare Resource Utilization, and Associated Costs in Later Lines of Therapy in the United States." Journal of Health Economics and Outcomes Research 9, no. 2 (July 29, 2022): 11–18. http://dx.doi.org/10.36469/jheor.2022.36229.
Повний текст джерелаАнотація:
Background: Alopecia areata (AA) is an autoimmune disease of hair loss affecting people of all ages. Alopecia totalis (AT) and universalis (AU) involve scalp and total body hair loss, respectively. AA significantly affects quality of life, but evidence on the economic burden in adolescents is limited. Objectives: To assess healthcare resource utilization (HCRU) and all-cause direct healthcare costs, including out-of-pocket (OOP) costs, of US adolescents with AA. Methods: IBM MarketScan® Commercial and Medicare databases were used to identify patients aged 12-17 years with ≥2 claims with AA/AT/AU diagnosis (prevalent cases), from October 1, 2015, to March 31, 2018, enrolled for ≥12 months before and after the first AA diagnosis (index). Patients were matched 1:3 to non-AA controls on index year, demographics, plan type, and Charlson Comorbidity Index. Per patient per year HCRU and costs were compared post-index. Results: Patients comprised 130 AT/AU adolescents and 1105 non-AT/AU adolescents (53.8% female; mean age, 14.6 years). Post-index, AT/AU vs controls had more outpatient (14.5 vs 7.1) and dermatologist (3.6 vs 0.3) visits, higher mean plan costs ($9397 vs $2267), including medical ($7480 vs $1780) and pharmacy ($1918 vs $487) costs, and higher OOP costs ($2081 vs $751) (all P<.001). The non-AT/AU cohort vs controls had more outpatient (11.6 vs 8.0) and dermatologist (3.4 vs 0.4) visits, higher mean plan costs ($7587 vs $4496), and higher OOP costs ($1579 vs $805) (all P<.001). Discussion: This large-sample, real-world analysis found that adolescents with prevalent AA had significantly higher HCRU and all-cause costs than matched controls. The greater burden was driven by more frequent outpatient visits, and higher payer medical and pharmacy costs in comparison with controls. Oral corticosteroid use was higher among patients with AT/AU; topical and injectable corticosteroid use was higher for non-AT/AU. Although the data preclude the identification of AA-attributable costs, the matched-control design allows an estimation of incremental all-cause costs associated with AA. Conclusions: Adolescents with AA incurred substantial incremental healthcare costs, with greater costs incurred among those with AT/AU. Study findings suggest that AA incurs costs as a medical condition with a high burden on adolescent patients and health plans.
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Stackpole, C. A., I. J. Clarke, A. I. Turner, and A. J. Tilbrook. "276. Sex difference in the effect of cortisol on the LH response of the pituitary to exogenous GnRH in hypothalamo-pituitary disconnected gonadectomised sheep." Reproduction, Fertility and Development 17, no. 9 (2005): 114. http://dx.doi.org/10.1071/srb05abs276.
Повний текст джерелаАнотація:
We have used the hypothalamo-pituitary disconnected (HPD) sheep model to investigate direct pituitary actions of cortisol to suppress LH secretion in response to exogenous GnRH. We previously observed that, during the non-breeding season, treatment with cortisol did not suppress the LH response to GnRH in HPD gonadectomised rams or ewes.1 In the present experiment, we tested the effect of cortisol on the LH response to exogenous GnRH in gonadectomised HPD sheep during the breeding season. Using a cross-over design, HPD gonadectomised Romney Marsh rams (n = 6) and ewes (n = 5) received a saline or cortisol (250 μg/kg/h) infusion for 30 h on each of two days, one week apart. All animals were treated with 125 ng i.v. injections of GnRH every 2 h during a 6h control period preceding the infusion and during the infusion. Jugular blood samples were taken during the control period and the first 6 h and last 6 h of the infusion (over 3 LH pulses). Mean plasma concentrations of LH and LH pulse amplitudes, driven by programmed GnRH injections, were similar in gonadectomised rams and ewes and there were no significant effects of saline infusion between the control periods or the saline infusion in either sex. The amplitude of LH pulses was significantly (P < 0.05) reduced in rams during the first 6 h of the cortisol infusion compared to the control period, but there were no effects of the cortisol infusion in ewes. These data show that, in the absence of sex steroids, there is a sex difference in the mechanism by which cortisol acts at the pituitary to reduce LH secretion in response to exogenous GnRH in HPD gonadectomized sheep during the breeding season. We conclude that the effect of cortisol to reduce secretion of LH involves an action on the pituitary, at least in gonadectomised rams. (1)Stackpole CA, Turner AI, Clarke IJ and Tilbrook AJ (2003) Biology of Reproduction 36(Supplement 1), 288.
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Larson, Paul D. "Corruption, gender inequality and logistics performance." International Journal of Logistics Management 31, no. 2 (December 19, 2019): 381–97. http://dx.doi.org/10.1108/ijlm-02-2019-0062.
Повний текст джерелаАнотація:
Purpose The purpose of this paper is to develop and test theory-driven hypotheses on the influence of corruption and gender inequality on logistics performance. Design/methodology/approach This paper develops hypotheses based on a review of the literature and theory linking corruption, gender inequality and logistics performance. Testing the hypotheses draws on the following secondary data sources: the World Bank Logistics Performance Index, Transparency International’s Corruption Perceptions Index and the United Nations Development Programme Gender Inequality Index. Regression analysis is used to test the hypotheses. Findings A significant direct effect is evident between corruption perceptions and perceived logistics performance. Corruption is detrimental to logistics. Further, there is evidence of an indirect effect, via gender inequality. Gender inequality is also linked directly to lower logistics performance. Gross domestic product/capita enters the analysis as a control variable. Research limitations/implications While the analysis uses secondary data, sources are credible and their methods – while not perfect – are logical and appear to be reasonable. It is possible that excluded variables could further explain the relationships under study. This implies future research opportunities, perhaps involving case studies of specific nations. Practical implications The results should inspire businesses, non-governmental organizations and governments to invest in, aid, advocate for and legislate toward greater gender equality – and against corruption. Logistics educators have an important role in disseminating this message. Social implications Gender inequality and corruption are current, global social issues. Moving forward toward equality and away from corruption are the right moves. Such moves appear to also yield better logistics. Originality/value This paper is among the first linking corruption and gender inequality to logistics performance. It shows how social issues impact logistics performance at a national level.
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Rosa Guillamón, Andres, Eliseo Garcia Canto, and Hector Martínez García. "Influencia de un programa de actividad física sobre la atención selectiva y la eficacia atencional en escolares (Influence of a physical activity program on selective attention and attentional efficiency in school children)." Retos, no. 38 (March 22, 2020): 560–66. http://dx.doi.org/10.47197/retos.v38i38.77191.
Повний текст джерелаАнотація:
La atención se ha revelado como un mecanismo de control que desempeña un rol fundamental en la organización jerárquica de procesos no solo neurocognitivos sino también motivacionales y emocionales. La reciente evidencia científica que apoya la existencia de una relación directa entre ejercicio físico y atención demanda la necesidad de definir las premisas para el diseño de intervenciones con el objetivo de examinar qué tipo de actividad física puede influir de manera más efectiva en la evolución cognitiva preadolescente subyacente al ejercicio físico. El objetivo fue analizar el efecto sobre la atención de un programa de actividad física de alta intensidad. Se diseñó un estudio cuasi-experimental intrasujetos en el que participaron 24 niños y 20 niñas de 9-10 años pertenecientes a España. Se evaluó la atención mediante el Test de Caras. Se aplicó estadística no paramétrica para el análisis de datos (prueba de Wilcoxon). Se apreciaron efectos sobre las variables de aciertos, errores, omisiones, control inhibitorio y eficacia atencional (p entre .05 y < .001). Las diferencias se mantuvieron cuando se realizó un análisis diferenciado por sexo, excepto para las niñas en errores (p > .05). Los resultados sugieren que la realización de un programa de actividad física de alta intensidad, con 16 sesiones de 40-50 minutos de duración/sesión, basado en ejercicios de fuerza-resistencia muscular y desafíos cooperativos podría tener efectos positivos sobre la atención tanto en niños como en niñas de 9-10 años de edad.Abstract. Attention has been revealed as a control mechanism that plays a fundamental role in the hierarchical organization of processes that are not only neurocognitive but also motivational and emotional. Recent scientific evidence supporting the existence of a direct relationship between physical exercise and attention demands the need to define the premises for the design of interventions with the aim of examining which type of physical activity can more effectively influence preadolescent cognitive evolution underlying physical exercise. The objective was to analyze the effect of a high intensity physical activity program on attention. A quasi-experimental intra-subject study was designed. 24 boys and 20 girls aged 9-10 years old from Spain participated in the study. Attention was evaluated through the “Face Test”. Non-parametric statistics were applied for the data analysis (Wilcoxon test). Effects were observed on the variables of successes, errors, omissions, inhibitory control, and attentional efficacy (p between < .05 and <.001). The differences were maintained when a differentiated analysis was performed by sex, except for girls in errors (p > .05). The results suggest that the realization of a program of physical activity of high intensity, with 16 sessions of 40-50 minutes per session, based on muscular strength-endurance exercises and cooperative challenges, could have positive effects on attention in both boys as girls of 9-10 years of age.
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Kanno, Yoshihiro. "A data-driven approach to non-parametric reliability-based design optimization of structures with uncertain load." Structural and Multidisciplinary Optimization 60, no. 1 (February 1, 2019): 83–97. http://dx.doi.org/10.1007/s00158-019-02199-6.
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Lampe, B. P., K. Y. Polyakov, and Y. N. Rosenwasser. "Direct Robust Sampled-Data Marine Control Systems Design on Basis of Parametric Transfer Function Method 1." IFAC Proceedings Volumes 31, no. 30 (October 1998): 327–30. http://dx.doi.org/10.1016/s1474-6670(17)38461-6.
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Gorbaslieva, Ivana, Dana Mustafa, Robin Colenbier, Marc Peeters, Dirk Ysebaert, Vera Saldien, Luigi Brancato, Oleg Rudenko, Johan Van den Bossche, and John Paul Bogers. "Abstract A023: First in-human, safety and preliminary efficacy study of (neo)adjuvant, model-based, whole-body hyperthermia treatment in advanced solid cancer patients or stage IV (TxNxM1) metastatic pancreatic adenocarcinoma patients: Liquid biopsies." Cancer Research 82, no. 22_Supplement (November 15, 2022): A023. http://dx.doi.org/10.1158/1538-7445.panca22-a023.
Повний текст джерелаАнотація:
Abstract Hyperthermia, the procedure of raising the temperature of a part of the entire body above normal for a defined period of time, is applied alone or as an adjunctive treatment to various established cancer treatment modalities such as radiotherapy and chemotherapy. Whole-Body Hyperthermia (WBHT), in contrast to local or regional hyperthermia, represents the only hyperthermia modality available for patients with disseminated malignancies. The biological rationale for the treatment of malignant disease by heat is driven by a number of reasons; a) the survival of cells depends on the temperature and duration of heating in a predictable and repeatable way; b) the tumor cell environment (such as hypoxia, poor nutrition, and low pH) that negatively influences the tumor cell killing by ionizing radiation and some chemotherapy regimens, is beneficially influenced by heat therapy; c) the differential sensitivity of normal and tumor cells to heat is dependent on cell type and environmental conditions; d) heat treatment enhances the biological effect of both radiation and chemotherapy agents. The biological rationale is based on a direct cell-killing effect at temperatures in the range of 41– 42°C. A systematic review of van der Horst et al, 2018, addressed clinical trials that used local or whole-body hyperthermia treatment (at variable temperatures) in pancreatic cancer patients. In those described trials, the weighted estimate of the treated population median overall survival was 11.7 compared to 5.6 for the control cohorts. In addition, locoregional hyperthermia (42-44°C) clinical trials showed that the weighted estimate median overall survival of the treated population was 15 months compared to 9 months in control cohorts. The MATTERS trial is a first in-human clinical investigation in advanced solid cancer patients or pancreatic adenocarcinoma patients (TxNxM1). The justification of the design is based on evaluation of pre-clinical data and clinical evaluation of clinical data, safety and/or performance of similar devices/therapies. The study is a mono-centric, non-randomized trial in which the safety and preliminary efficacy of whole-body hyperthermia will be evidenced. Well designed and performed early-stage correlative studies have the potential to strongly influence further clinical development of oncology clinical trials, and correlative data obtained from early stage trials has the potential to provide important guidance on the design and ultimate success of later stage trials. Blood samples will be collected for analysis of immunological panels (e.g. cytokines, chemokines), exosome research, RNA expression profiles. Urine will be collected for analysis of exosome research. The samples will be collected during different timepoints (before, during and after treatment). Citation Format: Ivana Gorbaslieva, Dana Mustafa, Robin Colenbier, Marc Peeters, Dirk Ysebaert, Vera Saldien, Luigi Brancato, Oleg Rudenko, Johan Van den Bossche, John Paul Bogers. First in-human, safety and preliminary efficacy study of (neo)adjuvant, model-based, whole-body hyperthermia treatment in advanced solid cancer patients or stage IV (TxNxM1) metastatic pancreatic adenocarcinoma patients: Liquid biopsies [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr A023.
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Wang, Xinmei, Yifei Wang, and Tao Wu. "The Review of Electromagnetic Field Modeling Methods for Permanent-Magnet Linear Motors." Energies 15, no. 10 (May 13, 2022): 3595. http://dx.doi.org/10.3390/en15103595.
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Permanent-magnet linear motors (PMLMs) are widely used in various fields of industrial production, and the optimization design of the PMLM is increasingly attracting attention in order to improve the comprehensive performance of the motor. The primary problem of PMLM optimization design is the establishment of a motor model, and this paper summarizes the modeling of the PMLM electromagnetic field. First, PMLM parametric modeling methods (model-driven methods) such as the equivalent circuit method, analytical method, and finite element method, are introduced, and then non-parametric modeling methods (data-driven methods) such as the surrogate model and machine learning are introduced. Non-parametric modeling methods have the characteristics of higher accuracy and faster computation, and are the mainstream approach to motor modeling at present. However, surrogate models and traditional machine learning models such as support vector machine (SVM) and extreme learning machine (ELM) approaches have shortcomings in dealing with the high-dimensional data of motors, and some machine learning methods such as random forest (RF) require a large number of samples to obtain better modeling accuracy. Considering the modeling problem in the case of the high-dimensional electromagnetic field of the motor under the condition of a limited number of samples, this paper introduces the generative adversarial network (GAN) model and the application of the GAN in the electromagnetic field modeling of PMLM, and compares it with the mainstream machine learning models. Finally, the development of motor modeling that combines model-driven and data-driven methods is proposed.
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Lecky, Fiona, Wanda Russell, Gordon Fuller, Graham McClelland, Elspeth Pennington, Steve Goodacre, Kyee Han, et al. "The Head Injury Transportation Straight to Neurosurgery (HITS-NS) randomised trial: a feasibility study." Health Technology Assessment 20, no. 1 (January 2016): 1–198. http://dx.doi.org/10.3310/hta20010.
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BackgroundReconfiguration of trauma services, with direct transport of traumatic brain injury (TBI) patients to neuroscience centres (NCs), bypassing non-specialist acute hospitals (NSAHs), could potentially improve outcomes. However, delays in stabilisation of airway, breathing and circulation (ABC) and the difficulties in reliably identifying TBI at scene may make this practice deleterious compared with selective secondary transfer from nearest NSAH to NC. National Institute for Health and Care Excellence guidance and systematic reviews suggested equipoise and poor-quality evidence – with regard to ‘early neurosurgery’ in this cohort – which we sought to address.MethodsPilot cluster randomised controlled trial of bypass to NC conducted in two ambulance services with the ambulance station (n = 74) as unit of cluster [Lancashire/Cumbria in the North West Ambulance Service (NWAS) and the North East Ambulance Service (NEAS)]. Adult patients with signs of isolated TBI [Glasgow Coma Scale (GCS) score of < 13 in NWAS, GCS score of < 14 in NEAS] and stable ABC, injured nearest to a NSAH were transported either to that hospital (control clusters) or bypassed to the nearest NC (intervention clusters). Primary outcomes: recruitment rate, protocol compliance, selection bias as a result of non-compliance, accuracy of paramedic TBI identification (overtriage of study inclusion criteria) and pathway acceptability to patients, families and staff. ‘Open-label’ secondary outcomes: 30-day mortality, 6-month Extended Glasgow Outcome Scale (GOSE) and European Quality of Life-5 Dimensions.ResultsOverall, 56 clusters recruited 293 (169 intervention, 124 control) patients in 12 months, demonstrating cluster randomised pre-hospital trials as viable for heath service evaluations. Overall compliance was 62%, but 90% was achieved in the control arm and when face-to-face paramedic training was possible. Non-compliance appeared to be driven by proximity of the nearest hospital and perceptions of injury severity and so occurred more frequently in the intervention arm, in which the perceived time to the NC was greater and severity of injury was lower. Fewer than 25% of recruited patients had TBI on computed tomography scan (n = 70), with 7% (n = 20) requiring neurosurgery (craniotomy, craniectomy or intracranial pressure monitoring) but a further 18 requiring admission to an intensive care unit. An intention-to-treat analysis revealed the two trial arms to be equivalent in terms of age, GCS and severity of injury. No significant 30-day mortality differences were found (8.8% vs. 9.1/%;p > 0.05) in the 273 (159/113) patients with data available. There were no apparent differences in staff and patient preferences for either pathway, with satisfaction high with both. Very low responses to invitations to consent for follow-up in the large number of mild head injury-enrolled patients meant that only 20% of patients had 6-month outcomes. The trial-based economic evaluation could not focus on early neurosurgery because of these low numbers but instead investigated the comparative cost-effectiveness of bypass compared with selective secondary transfer for eligible patients at the scene of injury.ConclusionsCurrent NHS England practice of bypassing patients with suspected TBI to neuroscience centres gives overtriage ratios of 13 : 1 for neurosurgery and 4 : 1 for TBI. This important finding makes studying the impact of bypass to facilitate early neurosurgery not plausible using this study design. Future research should explore an efficient comparative effectiveness design for evaluating ‘early neurosurgery through bypass’ and address the challenge of reliable TBI diagnosis at the scene of injury.Trial registrationCurrent Controlled Trials ISRCTN68087745.FundingThis project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full inHealth Technology Assessment; Vol. 20, No. 1. See the NIHR Journals Library website for further project information.
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Meng, Max Q.-H., and Hong Zhang. "Perspectives of Computational Intelligence in Robotics and Automation." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 3 (May 20, 2004): 235–36. http://dx.doi.org/10.20965/jaciii.2004.p0235.
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As people attempt to build biomimetic robots and realize automation processes through artificial intelligence, computational intelligence plays a very important role in robotics and automation. This special issue contains several important papers that address various aspects of computational intelligence in robotics and automation. While acknowledging its limited coverage, this special issue offers a range of interesting contributions such as intelligent trajectory planning for flying and land mobile robots, fuzzy decision making, control of rigid and teleoperated robots, modeling of human sensations, and intelligent sensor fusion techniques. Let us scan through these contributions of this special issue. The first paper, "Planar Spline Trajectory Following for an Autonomous Helicopter," by Harbick et al., proposes a technique for planar trajectory following for an autonomous aerial robot. A trajectory is modeled as a planar spline. A behavior-based control system stabilizes the robot and enforces trajectory following of an autonomous helicopter with a reasonable trajectory tracking error on the order of the size of the helicopter (1.8m). In the second paper, "A Biologically Inspired Approach to Collision-Free Path Planning and Tracking Control of a Mobile Robot," by Yang et al., a novel biologically inspired neural network approach is proposed for dynamic collision-free path planning and stable tracking control of a nonholonomic mobile robot in a non-stationary environment, based on shunting equations derived from Hodgkin and Huxley's biological membrane equation. The third paper, "Composite Fuzzy Measure and Its Application to Decision Making," by Kaino and Kaoru, builds a composite fuzzy measure from fuzzy measures defined on fuzzy measurable spaces using composite fuzzy weights by the authors, with a successful application to an automobile factory capital investment decision making problem. In "Intelligent Control of a Miniature Climbing Robot," by Xiao et al., a fuzzy logic based intelligent optimal control system for a miniature climbing robot to achieve precision motion control, minimized power consumption, and versatile behaviors is presented with validation via experimental studies. The fifth paper, "Incorporating Motivation in a Hybrid Robot Architecture," by Stoytchev and Arkin, describes a hybrid mobile robot architecture capable of deliberative planning, reactive control, and motivational drives, which addresses three main challenges for robots living in human-inhabited environments: operating in dynamic and unpredictable environment, dealing with high-level human commands, and engaging human users. Experimental results for a fax delivery mission in a normal office environment are included. In the next paper, "Intelligent Scaling Control for Internet-based Teleoperation," by Liu et al., an adaptive scaling control scheme, with a neural network based time-delay prediction algorithm trained using the maximum entropy principle, is proposed with successful experimental studies on an Internet mobile robot platform. The next paper, "Feature Extraction of Robot Sensor Data Using Factor Analysis for Behavior Learning," by Fung and Liu, discusses important knowledge extraction of sensor data for robot behavior learning using a new approach based on the inter-correlation of sensor data via factor analysis and construction of logical perceptual space by hypothetical latent factors. Experimental results are included to demonstrate the process of logical perceptual space extraction from ultrasonic range data for robot behavior learning. "Trajectory Planning of Mobile Robots Using DNA Computing," by Kiguchi et al., presents an optimal trajectory planning method for mobile robots using Watson-Crick pairing to find the shortest trajectory in the robot working area with the DNA sequences representing the locations of the obstacles removed during the process. The proposed algorithm is especially suitable for computing on a DNA molecular computer. In the ninth paper, "Computational Intelligence for Modeling Human Sensations in Virtual Environments," by Lee and Xu, cascade neural networks with node-decoupled extended Kalman filter training for modeling human sensations in virtual environments are proposed, with a stochastic similarity measure based on hidden Markov models to calculate the relative similarity between model-generated sensations and actual human sensations. A new input selection technique, based on independent component analysis capable of reducing the data size and selecting the stimulus information, is developed and reported. The next paper, "Intelligent Sensor Fusion in Robotic Prosthetic Eye System," by Gu et al., is concerned with the design, sensing and control of a robotic prosthetic eye that moves horizontally in synchronization with the movement of the natural eye. It discusses issues on sensor failure detection and recovery and sensor data fusion techniques using statistical methods and artificial neural network based methods. Simulation and experimental results are included to demonstrate the effectiveness of the results. The final contribution in our collection is a paper by Sun et al., entitled "A Position Control of Direct-Drive Robot Manipulators with PMAC Motors Using Enhanced Fuzzy PD Control." It presents a simple and easy-to-implement position control scheme for direct-drive robot manipulators based on enhanced fuzzy PD control, incorporating two nonlinear tracking differentiators into a conventional PD controller. Experiments on a single-link manipulator directly driven by a permanent magnet AC (PMAC) motor demonstrate the validity of the proposed approach. The Guest Editors would like to thank the contributors and reviewers of this special issue for their time and effort in making this special issue possible. They would also like to express their sincere appreciation to the JACIII editorial board, especially Profs. Kaoru and Fukuda, Editors-in-Chief and Kenta Uchino, Managing Editor, for the opportunity and help they provided for us to put together this special issue.
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Fan, Jun, and Lei Gang Wang. "Precision Analysis of Parametric Modification of the Die Face Based on Reverse Engineering." Applied Mechanics and Materials 385-386 (August 2013): 121–24. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.121.
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The conventional precision analysis method of modification and design is qualitative, laborious and time consuming. The precision of reverse parametric modification have direct influences on the quality of the reversed products. In this paper, a quantitative analysis method based on a reverse parametric approach and precision control concept is proposed. Combining with the ATOS scanner system, analyzing every aspect of the precision control and the error distribution, including data acquisition process, reverse reconstruction process and parametric process. In the process of the product reverse parametric modification, general error distribution is mainly composed of data acquisition error, reverse reconstruction error and parametric error. The method of precision control during the reverse parametric modification process is analyzed, according to this method, the total error of parametric modification for die face is 0.089mm, is lower than the accuracy requirement of 0.10mm in the reverse parametric modification process, the reverse modification of the die face of the blade based on precision control is realized. Validity and effectiveness of the method has been confirmed by case studies.
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Azul, Melissa, and David K. Wood. "Voxelotor Improves Sickle Red Blood Cell Flow Under Hypoxia in a Microfluidic Venule." Blood 136, Supplement 1 (November 5, 2020): 28–29. http://dx.doi.org/10.1182/blood-2020-139529.
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Introduction Sickle cell disease affects a large population both nationally and globally. The disease is characterized by the presence of sickle hemoglobin, HbS, which polymerizes the red blood cell into a stiff, sickle shape upon deoxygenation. This polymerization causes several complications, most notably, vaso-occlusion. Voxelotor (Oxbryta, Global Blood Therapeutics) is a newly FDA approved therapeutic for the treatment of sickle cell disease that, when bound to HbS, maintains the oxy-Hb state and inhibits polymerization. Previous studies have demonstrated voxelotor's ability to improve the deformability of the sickle red blood cell (sRBC) via micropippeting and reduce viscosity under hypoxia through using a viscosmeter(Dufu et al, 2018), however its effect under dynamic flow conditions has yet to be explored. Microfluidic devices have served as useful tools to study sickle cell disease, allowing investigation under physiologic conditions of the rheological properties of the sRBC. In this experimental study we aim to examine voxelotor's effect on rheological properties of blood using a microfluidic platform that allows for direct observation of sickled blood flow in a physiologic relevant system. Materials and Methods Whole blood was drawn from 6 patients with sickle cell disease (HbSS or HbSC) as a part of routine blood work under an IRB approved protocol. The cohort included both pediatric and adult patients both on and off hydroxyurea. A stock solution of voxelotor in DMSO (dimethylsulfoxide) was mixed and stored in -20C until use. Red blood cells (RBCs) were isolated using centrifugation and fixed to 25% hematocrit with saline. Voxelotor was added to the blood samples for a final concentration of 500 uM. Voxelotor treated samples were then incubated at 37C for one hour. An untreated, non-incubated aliquot from each patient sample was also obtained to serve a control. From two patient samples, a DMSO vehicle control was also incubated at 37C for one hour to serve as an additional control. Using an electronic pressure regulator, blood from each treatment was then driven through a microfluidic device at a constant pressure and was exposed to hypoxic conditions while RBC velocity data was collected. The microfluidic device design and fabrication in this experiment is described in previously published studies(Wood et al, 2012; Valdez et al, 2019). Briefly, a 3-layer microfluidic device constructed of polydimethylsiloxane (PDMS) consists of a blood, hydration, and gas layer. Saline is perfused through the hydration layer to prevent blood evaporation throughout the experiment. Oxygen gas is pushed through the gas layer, exposing flowing blood to a specific oxygen tension achieved using a mixing setup supplied by air and nitrogen tanks. A fiber optic sensor records oxygen tension within the gas layer throughout the experiment. Deoxygenation-oxygenation cycles were conducted using oxygen saturations from 0 to 21% (0 to 160mmHg pO2). With each deoxygenation cycle after 0%, oxygen saturations were up titrated in a stepwise fashion until oxygen-independent flow was observed. RBC velocity was evaluated by tracking cell movement in the microchannel using high frame-rate imaging and computation video processing. Results and Conclusion A reduction in velocity occurs when sickle RBCs are exposed to deoxygenated conditions as seen in one sample example tracing in figure 1. However, the addition of voxelotor at 500 uM improved the blood flow response to deoxygenation, as RBCs treated with voxelotor had a reduction in velocity change compared to vehicle control and untreated samples when exposed to hypoxic conditions as low as 0 mmgHg oxygen (figure 2). Additionally, voxelotor treated samples began to experience oxygen-independent velocity at lower oxygen tensions compared to the controls. By inhibiting polymerization, voxelotor improves sensitivity of sickle RBC blood flow response in hypoxic conditions. While polymerization is one aspect of sickle cell disease, we would like to explore further effects of voxelotor on other aspects of the understood pathophysiology of the disease such as effects on adhesion in future experiments. Disclosures No relevant conflicts of interest to declare.
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Gaur, Sagar, Yingjie Tang, Matthew A. Franchek, Karolos Grigoriadis, and Jay Pickett. "Hybrid Analytical Modeling of Force Dense Segmented Magnetic Linear Actuator with Non-Dimensional Parametric Modeling of the Magnetic Flux Effects." Machines 11, no. 2 (February 13, 2023): 278. http://dx.doi.org/10.3390/machines11020278.
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A new advanced two-dimensional hybrid analytical model of a segmented magnet linear actuator (MLA) comprised of surface permanent magnets (PM) is developed in this paper. This model is used to predict and evaluate the performance of the segmented MLA with proper correction on magnetic Flux Effects, validated by computational modeling. An MLA design with non-uniform PM segmentation was applied in this research to improve its performance compared with conventional radially magnetized MLA and uniform segmented Halbach Array based MLA. For MLA thrust force prediction, the previous published analytical model does not consider losses due to two observed magnetic Flux Effects: (1) the magnetic edge effect—the diminishing nature of the magnetic flux at the edge of the MLA, and (2) the observed magnetic interaction effect—the inconsistent peaks of individual magnetic flux lines, lower than the overall peak flux. In the proposed hybrid model for the segmented MLA, the shaft magnetic field distribution is based on a scalar potential theory subdomain method and the ring magnetic field is based on equivalent surface distributed currents. Collectively, these models are combined with three-dimensional finite element analysis (FEA), to estimate the magnetic thrust force. A data driven pole correction factor is introduced, based on the FEA computational database of three-dimensional MLA, to capture the losses associated with the magnetic flux, which is not considered in the analytical subdomain method. Finally, a normalized pole correction is proposed to generalize the model to different magnetic grades, different dimensional constraints, and varying magnet ratios of the segmented magnets. The developed model provides the design basis for manufacturing optimized force dense segmented MLAs for rotary to linear actuation, based on the force required for the application without the need for running FEA analysis after each design iteration, reducing costs and time required for the optimal design.
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da Costa Ferreira, Douglas, Fábio Roberto Chavarette, Cláudio Henrique Cerqueira Costa Basquerotto, and Nelson José Peruzzi. "Non-Ideal Excitation Approach for Piezoelectric Vibration Based Energy Harvesting." Advanced Materials Research 936 (June 2014): 2160–64. http://dx.doi.org/10.4028/www.scientific.net/amr.936.2160.
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Common solution for energy harvester device is project design according harmonic excitation around natural frequency matching excitation source. Environment vibration is random and wide band causing short time of resonance in disagreement of project objectives. Control driven of energy harvesting to take advantage of the higher vibration range can results in greater energy converted. This study investigates a non-ideal excitation behavior and their efficiency in convert electricity via piezoelectric direct effect from the available system energy compared to harmonic excitation source. Numeric evaluation was performed based in bimorph piezoelectric beam in dimensionless consideration. Chaos behavior and harvest energy capability were compared from non-ideal to harmonic excitation. Results demonstrate considerable higher quantity of energy available for non-ideal approach compared to harmonic resonant design and encourages advance study to control and enhance energy from random and wide band vibration source.
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Dela Cruz, Andrian. "Direct and Indirect Factors Affecting Teachers’ Burnout in the New Normal." Recoletos Multidisciplinary Research Journal 8, no. 2 (December 31, 2020): 75–86. http://dx.doi.org/10.32871/rmrj2008.02.06.
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The outbreak of the COVID-19 has brought about tiring tasks and unending demands in the Philippine educational system. With the abrupt shift of the teaching-learning process, teachers are pressured and stressed, which leads them to be burned out. The descriptive correlational research design determines the direct and indirect effects of perceived control to burnout through teachers’ personality traits of the 240 early childhood teachers. Data are analyzed using the Pearson r formula, Bivariate parametric correlation, and the Structural Equation Model (SEM). The study reveals that despite the challenges experienced in this time of pandemic, teachers have control over themselves and with the people around them. The teachers’ level of control does not influence their burnout; instead, their burnout is dependent on their emotional stability. Thus, burnout is a personal choice which is triggered by one’s emotion. A person with high perceived control may still be burned out if he does not have control over his emotions.
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Mählitz, Paul Martin, Nathalie Korf, Kristine Sperlich, Olivier Münch, Matthias Rösslein, and Vera Susanne Rotter. "Characterizing the Urban Mine—Simulation-Based Optimization of Sampling Approaches for Built-in Batteries in WEEE." Recycling 5, no. 3 (September 4, 2020): 19. http://dx.doi.org/10.3390/recycling5030019.
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Comprehensive knowledge of built-in batteries in waste electrical and electronic equipment (WEEE) is required for sound and save WEEE management. However, representative sampling is challenging due to the constantly changing composition of WEEE flows and battery systems. Necessary knowledge, such as methodologically uniform procedures and recommendations for the determination of minimum sample sizes (MSS) for representative results, is missing. The direct consequences are increased sampling efforts, lack of quality-assured data, gaps in the monitoring of battery losses in complementary flows, and impeded quality control of depollution during WEEE treatment. In this study, we provide detailed data sets on built-in batteries in WEEE and propose a non-parametric approach (NPA) to determine MSS. For the pilot dataset, more than 23 Mg WEEE (6500 devices) were sampled, examined for built-in batteries, and classified according to product-specific keys (UNUkeys and BATTkeys). The results show that 21% of the devices had battery compartments, distributed over almost all UNUkeys considered and that only about every third battery was removed prior to treatment. Moreover, the characterization of battery masses (BM) and battery mass shares (BMS) using descriptive statistical analysis showed that neither product- nor battery-specific characteristics are given and that the assumption of (log-)normally distributed data is not generally applicable. Consequently, parametric approaches (PA) to determine the MSS for representative sampling are prone to be biased. The presented NPA for MSS using data-driven simulation (bootstrapping) shows its applicability despite small sample sizes and inconclusive data distribution. If consistently applied, the method presented can be used to optimize future sampling and thus reduce sampling costs and efforts while increasing data quality.
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Tian, Lu, Zi Ye, and Lin Gui. "A Study of Dielectrophoresis-Based Liquid Metal Droplet Control Microfluidic Device." Micromachines 12, no. 3 (March 23, 2021): 340. http://dx.doi.org/10.3390/mi12030340.
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This study presents a dielectrophoresis-based liquid metal (LM) droplet control microfluidic device. Six square liquid metal electrodes are fabricated beneath an LM droplet manipulation pool. By applying different voltages on the different electrodes, a non-uniform electric field is formed around the LM droplet, and charges are induced on the surface of the droplet accordingly, so that the droplet could be driven inside the electric field. With a voltage of ±1000 V applied on the electrodes, the LM droplets are driven with a velocity of 0.5 mm/s for the 2.0 mm diameter ones and 1.0 mm/s for the 1.0 mm diameter ones. The whole chip is made of PDMS, and microchannels are fabricated by laser ablation. In this device, the electrodes are not in direct contact with the working droplets; a thin PDMS film stays between the electrodes and the driven droplets, preventing Joule heat or bubble formation during the experiments. To enhance the flexibility of the chip design, a gallium-based alloy with melting point of 10.6 °C is used as electrode material in this device. This dielectrophoresis (DEP) device was able to successfully drive liquid metal droplets and is expected to be a flexible approach for liquid metal droplet control.
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Giassi, Marianna, Jens Engström, Jan Isberg, and Malin Göteman. "Comparison of Wave Energy Park Layouts by Experimental and Numerical Methods." Journal of Marine Science and Engineering 8, no. 10 (September 26, 2020): 750. http://dx.doi.org/10.3390/jmse8100750.
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An experimental campaign of arrays with direct-driven wave energy converters of point-absorbing type is presented. The arrays consist of six identical floats, moving in six degrees of freedom, and six rotating power take-off systems, based on the design developed at Uppsala University. The goals of the work were to study and compare the performances of three different array layouts under several regular and irregular long-crested waves, and in addition, to determine whether the numerical predictions of the best performing array layouts were confirmed by experimental data. The simulations were executed with a frequency domain model restricted to heave, which is a computationally fast approach that was merged into a genetic algorithm optimization routine and used to find optimal array configurations. The results show that good agreement between experiments and simulations is achieved when the test conditions do not induce phenomena of parametric resonance, slack line and wave breaking. Specific non-linear dynamics or extensive sway motion are not captured by the used model, and in such cases the simulation predictions are not accurate, but can nevertheless be used to get an estimate of the power output.
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Tang, Kunhao, Sanhua Zhang, and Youlong Wu. "Optimization and control of fuel cell thermal management system based on neural network." Thermal Science 25, no. 4 Part B (2021): 2933–39. http://dx.doi.org/10.2298/tsci2104933t.
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Aiming at the direct methanol fuel cell system is too complicated, difficult to model, and the thermal management system needs to be optimized. The article attempts to bypass the internal complexity of direct methanol fuel cell, based on experimental data, use neural networks to approximate arbitrarily complex non-linear functions ability to apply neural network identification methods to direct methanol fuel cell, a highly non-linear thermal management system optimization modelling. The paper uses 1000 sets of battery voltage and current density experimental data as training samples and uses an improved back propagation neural network to establish a battery voltage-current density dynamic response model at different temperatures. The simulation results show that this method is feasible, and the established model has high accuracy. It makes it possible to design the real-time controller of the direct methanol fuel cell and optimize the thermal energy manage?ment system?s efficiency.
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Amelia, Vira Septi, Susilawati Susilawati, and Joko Budi Poernomo. "Students' Analytical Thinking Skills through Tutorial Video Assisted Inquiry Approach on Direct Current Electricity Grade XII Senior High School." Berkala Ilmiah Pendidikan Fisika 10, no. 1 (May 22, 2022): 119. http://dx.doi.org/10.20527/bipf.v10i1.12682.
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Students' analytical thinking skills are still lacking, causing students' understanding of physics lessons to be less than optimal. The research was conducted to examine the effectiveness of direct current electric video with an inquiry approach to students' analytical thinking skills and student responses to the video. The research method applied in this research is quasi-experimental with the research design of Nonequivalent Control Group Design. The sampling technique is purposive sampling data collection techniques using analytical thinking skills tests and questionnaires to video tutorials responses. The data analysis technique uses parametric quantitative analysis. The results of the analysis of hypothesis testing on the data of analytical thinking skills that had been carried out showed that the video tutorial learning media has not been effective in improving students' analytical thinking skills, while the results of student responses to direct current electric video tutorial learning media obtained a percentage of 70.67% and classified as good category. Students' analytical skills require more intensive practice and challenging routine assignments. Students' interest in the tutorials provided can only increase motivation to be involved in learning. The implications of this research can focus on innovative video tutorials on contextual physics experiments in life and more challenging experiments.
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Prüßmann, Jannik, Georg Männel, Christian Brendle, and Philipp Rostalski. "Feedback Linearization of a Blower in an Anesthesia Workstation." Current Directions in Biomedical Engineering 8, no. 2 (August 1, 2022): 273–76. http://dx.doi.org/10.1515/cdbme-2022-1070.
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Abstract Radial compressors, Blowers, which are often used in modern devices for medical ventilation, are known to have non-linear dynamics regarding the generated pressure. To make them accessible for the large field of linear control theory their model needs to be linearized. This paper uses a gray box model of a blower driven by a brushless direct current (BLDC) motor to design a controller based on feedback linearization. The controller is designed to achieve approximate linear closed loop behavior of the system. The controller is then evaluated concerning reference tracking and disturbance rejection in simulation and on a demonstrator system. The evaluation showed that an approximate linear closed loop behavior was achieved.
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Arianti, Baiq Ida, Hairunnisyah Sahidu, Ahmad Harjono, and Gunawan Gunawan. "Pengaruh Model Direct Instruction Berbantuan Simulasi Virtual Terhadap Penguasaan Konsep Siswa." Jurnal Pendidikan Fisika dan Teknologi 2, no. 4 (April 22, 2017): 159. http://dx.doi.org/10.29303/jpft.v2i4.307.
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Penelitian ini merupakan jenis penelitian quasi eksperimen dengan desain non-equivalent control grup design. Pengambilan sampel dilakukan dengan teknik purposive sampling. Populasi penelitian adalah seluruh siswa kelas X MIA MAN 2 Praya. Sampel penelitian diperoleh siswa kelas X MIA-1 sebagai kelas eksperimen dan siswa kelas X MIA-2 sebagai kelas kontrol. Data penelitian dianalisis dengan uji-t polled varians dengan taraf signifikan 5%, dan diperoleh hasil thitung =2,54 dan ttabel = 2,02. Oleh karena thitung >ttabel, maka dapat disimpulkan bahwa model direct instruction berbantuan simulasi virtual berpengaruh terhadap penguasaan konsep fisika siswa
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Mishra, Partha, Eric Miller, Shriram Santhanagopalan, Kevin Bennion, and Andrew Meintz. "A Framework to Analyze the Requirements of a Multiport Megawatt-Level Charging Station for Heavy-Duty Electric Vehicles." Energies 15, no. 10 (May 21, 2022): 3788. http://dx.doi.org/10.3390/en15103788.
Повний текст джерелаАнотація:
Widespread adoption of heavy-duty (HD) electric vehicles (EVs) will soon necessitate the use of megawatt (MW)-scale charging stations to charge high-capacity HD EV battery packs. Such a station design needs to anticipate possible station traffic, average and peak power demand, and charging/wait time targets to improve throughput and maximize revenue-generating operations. High-power direct current charging is an attractive candidate for MW-scale charging stations at the time of this study, but there are no precedents for such a station design for HD vehicles. We present a modeling and data analysis framework to elucidate the dependencies of a MW-scale station operation on vehicle traffic data and station design parameters and how that impacts vehicle electrification. This framework integrates an agent-based charging station model with vehicle schedules obtained through real-world vehicle telemetry data analysis to explore the station design and operation space. A case study applies this framework to a Class 8 vehicle telemetry dataset and uses Monte Carlo simulations to explore various design considerations for MW-scale charging stations and EV battery technologies. The results show a direct correlation between optimal charging station placement and major traffic corridors such as cities with ports, e.g., Los Angeles and Oakland. Corresponding parametric sweeps reveal that while good quality of service can be achieved with a mix of 1.2-megawatt and 100-kilowatt chargers, the resultant fast charging time of 35–40 min will need higher charging power to reach parity with refueling times.
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Reddix, Michael D., Matthew E. Funke, Micah J. Kinney, John L. Bradley, Greg Irvin, Everett J. Rea, Christina K. Kunkle, Mary B. McCann, and Jacqueline Gomez. "Evaluation of Aircrew Low-Intensity Threat Laser Eye Protection." Military Medicine 184, Supplement_1 (March 1, 2019): 593–603. http://dx.doi.org/10.1093/milmed/usy335.
Повний текст джерелаАнотація:
Abstract Prototype low-intensity threat laser eye protection (LIT-LEP) spectacles were evaluated for US Coast Guard (USCG) cockpits and night vision goggle compatibility. The impetus for interest in aviation LIT-LEP is driven in part by the fact that easily accessible 0.5–2.0 W high-power laser pointers exceed safety standards for direct on-axis viewing. A repeated-measures experimental design was used to assess LIT-LEP performance relative to a no-LEP control for the following tasks: Near- and far contrast acuity, night vision goggle far-contrast acuity, emissive and non-emissive light source color-vision screening, and USCG multifunctional display color symbol discrimination reaction time and accuracy. Near- and far-contrast acuity results demonstrated good LIT-LEP performance for typical in- and out-of-cockpit lighting conditions. Night vision goggle performance suffered marginally at only one contrast level (85%; 20/30 acuity line). Color vision test results showed good color balance in that S-, M-, and L-cone performance did not demonstrate a clinical diagnostic color defect for emissive or non-emissive light sources when wearing LIT-LEP. Color symbol discrimination reaction-time-task results based on inverse efficiency scores revealed that some non-primary flight display colors exhibited a combination of slower speed and decreased accuracy. The findings will contribute to an acquisition decision as well as guide future LEP designs.
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Lee, ShiKeat, Zhenguo Nie, Handing Xu, Kai Hu, Hanwei Lin, Fugui Xie, and Xin-jun Liu. "Intramedullary Skeletal Distraction Robot: Novel Design and Optimization of Implantable Lengthening Nail." Machines 10, no. 10 (September 23, 2022): 843. http://dx.doi.org/10.3390/machines10100843.
Повний текст джерелаАнотація:
Leg Length Discrepancy (LLD) is a critical problem which not only impacts the quality of life but also causes other physical ailments such as limping and severe back pain. Most people had a non-negligible difference in the length of their two legs, and 0.1% of the population with differences of 20 mm or more are diagnosed as a difference in limb length. The Ilizarov external fixator is commonly used in treating LLD as conventional therapeutic equipment, but often causes serious complications that cannot be prevented. Therefore, intramedullary leg-lengthening treatment has become popular in distraction osteogenesis to eliminate extracorporeal surgery. This paper presents a study on the design and optimization of a novel electromagnetic-driven Intramedullary Skeletal Distraction Robot (ISDR) with robust mechanical stiffness and surplus electromagnetic driving force. Compared with PRECICE, the split structure of ISDR eases the optimal design and manufacturing difficulties to strengthen mechanical stiffness, and the electromagnetic configuration allows improving the distraction force by adjusting the Permanent Magnet Brushless Direct Current (PMBLDC) motor parameters. ISDR, which is implanted in the medullary cavity, has the Von-Mises stress of 952.15 MPa, and the first mode of natural frequency is 28.823 Hz indicating that it can withstand the load during the walking gait phases. On the other hand, the ISDR distraction force encounters resistance from muscle fibers, and an average driving torque of 9 Nmm ensures its distraction. Based on the results, ISDR is proven secure and reliable during and after leg-lengthening treatment, which can significantly reduce lifestyle disruption and medical complications.
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Xia, J., Y. Han, Z. Zhang, Z. Zhang, and S. Wan. "Non-additive effect of day and night warming on soil respiration in a temperate steppe." Biogeosciences Discussions 6, no. 2 (April 21, 2009): 4385–411. http://dx.doi.org/10.5194/bgd-6-4385-2009.
Повний текст джерелаАнотація:
Abstract. This study was conducted to examine potentially differential effects of day and night warming on soil respiration in a temperate steppe in northern China. A full factorial design with day and night warming was used in this study, including control (C), day (6 a.m.–6 p.m., local time; D) warming, night (6 p.m.–6 a.m.; N) warming, and diurnal warming (W). Day warming showed neutral effect on soil respiration, whereas night warming significantly increased soil respiration by 7.1% over the first 3 growing seasons. The insignificant effect of day warming on soil respiration could be attributable to the offset of the direct positive effects by the indirect negative effects via aggravating water limitation and suppressing ecosystem C assimilation. The positive effects of night warming on soil respiration were largely due to the stimulation of ecosystem C uptake and substrate supply via over-compensation of plant photosynthesis. In addition, day and night warming showed antagonistic effects on soil respiration, which could be ascribed to their contrasting effects on ecosystem C assimilation. The results suggest differential and non-additive effects of day and night warming on soil respiration, which was driven by the treatment-induced changes in substrate supply.
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Ayustiani, Ayustiani, Aceng Haetami, and Yuniati Tewa. "PENERAPAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING TERHADAP HASIL BELAJAR KIMIA SISWA KELAS X IPA PADA MATERI POKOK LARUTAN ELEKTROLIT DAN NON ELEKTROLIT." Jurnal Pendidikan Kimia FKIP Universitas Halu Oleo 6, no. 2 (September 7, 2021): 97. http://dx.doi.org/10.36709/jpkim.v6i2.18731.
Повний текст джерелаАнотація:
This study aims to determine: (1) Description of students' chemistry learning outcomes on electrolyte and non-electrolyte solution materials taught using the Problem Based Learning (PBL) model and by using the direct learning model; and (2) increasing student learning outcomes (N-gain) on electrolyte and nonelectrolyte solution materials taught using the Problem Based Learning (PBL) model and by using the direct learning model. The method used in this study was a quasi-experimental design using a pretest-posttest control group design. The sample in this study were students of class X IPA1 as the experimental class who were treated using the Problem Based Learning learning model and class X IPA2 as the control class treated with the direct learning model. Based on the results of the analysis, it was found that the data were: (1) Description of Chemistry learning outcomes of students who were taught using the application of the Problem Based Learning (PBL) model obtained an average value of 63.64 for the pre-test and 76.46 for the post-test. Meanwhile, the learning outcomes of students who were taught with the direct learning model had an average pre-test of 54.43 and an average post-test score of 61.57; (2) The increase in student learning outcomes after learning using Problem Based Learning (PBL) of 0.35 (medium category) is greater than the increase in student learning outcomes in learning using the direct learning model of 0.15 (low category). This indicates that the Problem Based Learning (PBL) learning model is applied effectively to students' chemistry learning outcomes.
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Longtine, Craig A., David W. Ragsdale, and Edward B. Radcliffe. "Control of Colorado Potato Beetle, 1997A." Arthropod Management Tests 23, no. 1 (January 1, 1998): 127. http://dx.doi.org/10.1093/amt/23.1.127a.
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Abstract This trial was located in a non-irrigated commercial potato field near Hollandale in southern Minnesota. Plots consisted of a single treatment row 25 ft in length bordered on each side by two untreated guard rows. Plant spacing was 36 inches between rows and 12 inches between plants within rows. Treatments were replicated four times in a completely randomized design. Treatments were applied with a CO2-pressurized backpack sprayer fitted with a single Teejet 8003-E flat-fan nozzle delivering 40 gpa/acre at 35 psi. All treatments were applied on 2 Jul. Spraying conditions were windy, but winds were constant. In evaluating the treatments, direct counts of early instars (first and second) and late instars (third and fourth) were made on every plant in each plot on 3 Jul. The data were subjected to analyses of variance following log10(x +1) transformation.
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Stojkovski, Filip, Marija Lazarevikj, Zoran Markov, Igor Iliev, and Ole Gunnar Dahlhaug. "Constraints of Parametrically Defined Guide Vanes for a High-Head Francis Turbine." Energies 14, no. 9 (May 6, 2021): 2667. http://dx.doi.org/10.3390/en14092667.
Повний текст джерелаАнотація:
This paper is focused on the guide vane cascade as one of the most crucial stationary sub-systems of the hydraulic turbine, which needs to provide efficient inflow hydraulic conditions to the runner. The guide vanes direct the flow from the spiral casing and the stay vanes towards the runner, regulating the desired discharge. A parametric design tool with normalized geometrical constraints was created in MATLAB, suitable for generating guide vane cascade geometries for Francis turbines. The goal is to determine the limits of these constraints, which will lead to future faster prediction of initial guide vane configurations in the turbine optimal operating region. Several geometries are developed using preliminary design data of the turbine and are investigated using CFD simulations close to the best efficiency point (BEP) of the turbine. This research is part of the Horizon-2020—HydroFlex project led by the Norwegian University of Science and Technology (NTNU), focusing on the development of a flexible hydropower generation.
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Paul, Justin, and Pravin Jadhav. "Institutional determinants of foreign direct investment inflows: evidence from emerging markets." International Journal of Emerging Markets 15, no. 2 (August 9, 2019): 245–61. http://dx.doi.org/10.1108/ijoem-11-2018-0590.
Повний текст джерелаАнотація:
Purpose Foreign direct investment (FDI) is a strategic decision for achieving competitive advantage by multinational enterprises. The purpose of this paper is to explore the role of institutional determinants of FDI using data from 24 emerging markets including China, India, Indonesia, Turkey, Thailand, Malaysia and Pakistan. Design/methodology/approach In order to identify factors that attract FDI in emerging markets, this study has used data from sources such as the World Bank, Index of Economic Freedom and UNCTAD. Findings The findings of this research indicate that infrastructure quality, trade cost measured by tariff and non-tariff barriers, institutional quality measured by effective rule of law, political stability, regulatory quality and control on corruption are significant determinants of FDI in emerging markets. Originality/value This is the first study to analyze the sectoral institutional determinants of Inward FDI in the important emerging economies, to the best of authors’ knowledge.
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Ahmad, Israr, and Muhammad Shafiq. "Oscillation free robust adaptive synchronization of chaotic systems with parametric uncertainties." Transactions of the Institute of Measurement and Control 42, no. 11 (February 26, 2020): 1977–96. http://dx.doi.org/10.1177/0142331220903668.
Повний текст джерелаАнотація:
The complexity of the closed-loop system, short transient response time, and fast synchronization error convergence rates are the three basic parameters that limit hacking in the data encryption and secure the communication systems. This paper addresses the following two challenges: The full-order synchronization (FOS) of two parametrically excited second-order nonlinear pendulum (PENP) chaotic systems with uncertain parameters. The reduced-order synchronization (ROS) between the canonical projection part of an uncertain third-order chaotic Rossler and the uncertain PENP systems. This article designs a new robust adaptive synchronization control (RASC) algorithm to address the above two challenges. The proposed controller achieves the FOS and ROS in a shorter transient time, and the synchronization error signals converge to the origin with faster rates in the presence of bounded unknown state-dependent and time-dependent disturbances. The Lyapunov direct method verifies this convergence behavior. The paper provides parameters updated laws that confirm the convergence of the uncertain parameters to some fixed values. The controller does not cancel the nonlinear terms of the plant; this property of the controller keeps the nonlinear terms in the closed-loop that results in the enhanced complexity of the dynamical system. The proposed RASC strategy is successful in synthesizing oscillation free convergence of the synchronization error signals to the origin for reducing the transient time and guarantees the asymptotic stability at the origin. The simulation results endorse the theoretical findings.
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Hassan, Marwa, Alsnosy Balbaa, Hanady Issa, and Noha El-Amary. "Asymptotic Output Tracked Artificial Immunity Controller for Eco-Maximum Power Point Tracking of Wind Turbine Driven by Doubly Fed Induction Generator." Energies 11, no. 10 (October 2, 2018): 2632. http://dx.doi.org/10.3390/en11102632.
Повний текст джерелаАнотація:
This paper aims to design a controller for a Doubly Fed Induction Generator (DFIG) targeting the Eco-Maximum Power Point Tracking (EMPPT) for environmental aspects. The proposed controller consists of two clusters, which are the novel Artificial Immunity sensorless Eco-Maximum Power Point Tracking (AI EMPPT) and the asymptotic non-linear control techniques. The main target of the AI EMPPT is to reduce the carbon dioxide emission by generating the maximum possible power from the renewable electrical energy resource, which is wind electrical power generation to replace the fossil-fuel conventional generation. To build the AI EMPPT, an Artificial Immunity System Estimator (AISE) based on artificial immunity technique and a Model Reference Adaptive System (MRAS) are used to estimate the DFIG rotor speed. Then, the AI EMPPT is applied to provide the reference electromagnetic torque signal. Subsequently, the reference electromagnetic torque interacts with the estimated generator speed, determined by the wind mechanical power, to supply the wind electrical power. The second cluster is the asymptotic non-linear control technique which proposes the reference signal tracking of the rotor direct and quadratic current, respectively. Thus, assigning specific zeros through feedback ensures the reproduction of an output that converges asymptotically to a required reference rotor current. For online operation, the Artificial Immunity Technique (AIT) is utilized to deal with the generated control reference signal. A proposal hardware implementation on Field Programmed Gate Array (FPGA) is also presented. The introduced approach was applied to a wind turbine generator driving a 3.7 kW load. MATLAB program was used to simulate and test the performance of the proposed control methods. The results to show the effectiveness of the proposed technique. The reduction in CO2 emission was calculated.
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Shendokar, Sachin, Moha Feroz Hossen, Olubukola Ayanbajo, and Shyam Aravamudhan. "Application of Parametric Modeling in Atomic Layer Deposition." ECS Meeting Abstracts MA2022-02, no. 15 (October 9, 2022): 813. http://dx.doi.org/10.1149/ma2022-0215813mtgabs.
Повний текст джерелаАнотація:
Atomic Layer Deposition (ALD) is sequential and conformal process that provides precise thickness control due to its self-limiting nature even in high aspect ratio structures. The exponential growth in the use of ALD is due the availability of hundreds of precursor chemistries for diverse technological applications beyond just semiconductors and microelectronics. However, one of recurring challenges is the problem of results disparity, and errors that underline the causes of disparity, primarily may be due to lack of consistency in process optimization and reproducibility. In this research, a Design of Experiment (DoE) approach is adopted for parametric optimization for synthesis of Al2O3 thin films using ALD. The objective of this work is to adopt DoE for reproducible ALD synthesis processes within statistical reliability. Briefly, the precursors used for Al2O3 ALD (Ultratech Veeco Thermal ALD) were Trimethylaluminum (TMA) and H2O with Ozone. The effect of four parameters, namely pulse duration of TMA and water, number of cycles, and temperature were evaluated for the response parameter of Al2O3 thickness on Si with 300 nm of SiO2. E-Chip DoE software was chosen for data modeling. E-Chip considers multivariate analysis to provide the parametric relationship for Analysis of Variances (ANOVA) and predictive surface response analysis, thus eliminating the need for extensive process optimization experiments that are required for full factorial design. Initially, screening experiments were conducted to determine the levels of input parameters. The pulse duration for TMA and H2O were 0.01-0.02 sec, the number of cycles were varied between 50 and 100, the temperature range was 100-200 0C. For each sample, five thickness and roughness readings were measured on an ex-situ ellipsometer and Atomic Force Microscope (AFM). The stoichiometry of Al2O3 thin films were evaluated using XPS. The data analysis reveals that the influential parameters are number of cycles, pulse duration, and temperature in the order of their significance. The direct relationship between number of cycles and Al2O3 thickness infers that flux available is effectively used for layer growth. The consistency of layer thickness is related not just to the conformality but also to the adsorption of reactive species effectively. Uneven pulse duration also contributes to the linear growth of layer thickness, which supports the effectiveness of reactive species saturation and purging of un-reactive elements. The temperature variation was also an influential parameter as it affected the vapor pressure for TMA and H2O. This mechanistic model based on DoE is a suitable tool to predict the ALD’s growth per cycle, which can further help in understanding of any chemisorption with substrate treatment or variation in film roughness characteristics. Study of other DoE parameters such as type of substrate, substrate functionalization, reactor size in relation to the size of substrate, and purge duration are ongoing. Figure 1 describes the ANOVA chart estimates and surface response graphs, which identifies the bounded parametric region along with the ability to predict the influence of change in parameters based on developed mechanistic model. Figure 1
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Maule, Luca, Alessandro Luchetti, Matteo Zanetti, Paolo Tomasin, Marco Pertile, Mattia Tavernini, Giovanni M. A. Guandalini, and Mariolino De Cecco. "RoboEye, an Efficient, Reliable and Safe Semi-Autonomous Gaze Driven Wheelchair for Domestic Use." Technologies 9, no. 1 (February 24, 2021): 16. http://dx.doi.org/10.3390/technologies9010016.
Повний текст джерелаАнотація:
Any severe motor disability is a condition that limits the ability to interact with the environment, even the domestic one, caused by the loss of control over one’s mobility. This work presents RoboEYE, a power wheelchair designed to allow users to move easily and autonomously within their homes. To achieve this goal, an innovative, cost-effective and user-friendly control system was designed, in which a non-invasive eye tracker, a monitor, and a 3D camera represent some of the core elements. RoboEYE integrates functionalities from the mobile robotics field into a standard power wheelchair, with the main advantage of providing the user with two driving options and comfortable navigation. The most intuitive and direct modality foresees the continuous control of frontal and angular wheelchair velocities by gazing at different areas of the monitor. The second, semi-autonomous modality allows navigation toward a selected point in the environment by just pointing and activating the wished destination while the system autonomously plans and follows the trajectory that brings the wheelchair to that point. The purpose of this work was to develop the control structure and driving interface designs of the aforementioned driving modalities taking into account also uncertainties in gaze detection and other sources of uncertainty related to the components to ensure user safety. Furthermore, the driving modalities, in particular the semi-autonomous one, were modeled and qualified through numerical simulations and experimental verification by testing volunteers, who are regular users of standard electric wheelchairs, to verify the efficiency, reliability and safety of the proposed system for domestic use. RoboEYE resulted suitable for environments with narrow passages wider than 1 m, which is comparable with a standard domestic door and due to its properties with large commercialization potential.
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Iqbal, M., and Mawardi Mawardi. "The Effect of 5E-Learning Cycle Model Using Animation Media on the Learning Activity and Learning Outcomes of Students in Senior High School Class XI on Salt Hydrolysis Material." Proceedings Series on Physical & Formal Sciences 3 (March 9, 2022): 52–58. http://dx.doi.org/10.30595/pspfs.v3i.264.
Повний текст джерелаАнотація:
The aim of this study is to determine the effect of learning model 5E learning cycle on learning activities and student learning outcomes on salt hydrolysis material. The research was conducted at Senior High School (SMA) Negeri 10 Medan. This research used research design of Pretest-posttest control group design. The sample was taken by purposive sampling technique and the obtained sample consist of 2 class which is: XI IPA 2 as an experimental class and XI IPA I as a control class. In the experimental class was taught used learning model 5E learning cycle using animation media and in control, class was taught using direct instruction model using animation media. The research instrument used the objective test in form of multiple choice questions as many as 25 questions, which previously passed through validation test, difficulty test, the test of different power, and reliability test with reliability value 0,91. Data analysis in this study used parametric inferential statistical analysis method, which the pretest and normalized score data had to pass normality and homogeneity test. X2count the pretest and gain score in the two study classes is greater than X2table and F-count the pretest and gain score in both the research class is greater than F-table. The research hypothesis was tested using statistical right-tailed t-test. Based on the calculation of t-statistical using right-tailed t-test obtained t-count results 4.29 and t-table at the 0.05 significance level 1.99. Furthermore, by t-count> t-table implied that the results of this study indicate there is influence of learning model of learning cycle 5E using animation media to the student learning outcomes in SMA of class XI on salt hydrolysis and student learning activity taught by learning model 5E learning cycle using animation media equal to 64,88%, higher than the student learning activity taught by direct instruction model using animation media that is equal to 55,72%.
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Relaiza, Héctor Raúl Santa María, Luis Alberto Lira Núñez, María Milagros Sánchez Temple, Percy Samuel Yabar Miranda, and Irma Esperanza Aybar Bellido. "Corporate Social Responsibility and Financial Control." International Journal of Professional Business Review 8, no. 1 (December 29, 2022): e936. http://dx.doi.org/10.26668/businessreview/2023.v8i1.936.
Повний текст джерелаАнотація:
Purpose: The objective of the study was to determine the relationship between CSR and financial control; to achieve this, references were taken from different authors reviewing the state of the art with the purpose of an exhaustive understanding of the subject. Methodology: The research was based on a quantitative approach, non-experimental, cross-sectional design and a sample of 60 private educational institutions. Data were collected through two instruments that counted with reliability and validity: the CSR instrument obtained a reliability of 0.824 and the financial control, a 0.821. Conclusions: As a result, it was found that 96.7% of the promoters showed high social responsibility and financial control of the institutions in their charge. Likewise, a Spearman's Rho of 0.769 was obtained with a p= 0.000. It is concluded that there is a direct, significant and positive relationship between CSR and financial control; therefore, it was determined that educational institutions, under the supervision of the Local Educational Management Unit, improve their financial control. Implications of the Research: The world is focused on how companies practice corporate social responsibility (CSR) due to the fact that economic activities, which each company exercises, affect society and the environment.
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Islamiyah, Zulfa Husniatul, and Windra Eka Lestari. "Pengaruh Model Project-Based Learning Berbasis Alat Peraga Terhadap Kemampuan Berpikir Kritis Siswa Kelas VII MTS Raudhatul Thalabah." Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam 6, no. 2 (December 30, 2018): 139–48. http://dx.doi.org/10.24256/jpmipa.v6i2.300.
Повний текст джерелаАнотація:
Abstract:The purpose of this research was to know the influence of Project-Based Learning models by Props toward critical thinking of the seventh grade students in Mathematic learning. The design of the study was true-experimental research design with non-equivalent post-test only control group design. On the experimental group it was applied Project-Based Learning model, where as in the control group it was applied a conventional learning model. The data were collected through documentations as written test. This study concluded that students who follow the cooperative project-based learning are more critical thinking better learning outcomes than the other class who follow the direct instruction strategy. So, there is the influence of Project-Based Learning models by props toward critical thingking ability of the seventh grade students at MTs Raudhatul Thalabah.Abstrak:Penelitian ini bertujuan untuk mengetahui pengaruh model Project-Based Learning berbasis alat peraga terhadap kemampuan berpikir kritis siswa pada pembelajaran Matematika. Jenis penelitian ini adalah penelitian true-experiment dengan rancangan non-equivalent post-test only control group design. Pada kelompok eksperimen diterapkan model pembelajaran berbasis proyek, sedangkan pada kelompok kontrol diterapkan model pembelajaran konvensional. Data dikumpulkan menggunakan dokumentasi berupa tes tulis. Hasil penelitian ini menunjukkan bahwa kemampuan berpikir kritis siswa yang mengikuti cooperative Project-Based Learning lebih baik dibandingkan siswa yang mengikuti pembelajaran langsung seperti yang dilaksanakan selama ini. Dengan kata lain ada pengaruh model pembelajaran Project-Based Learning berbasis alat peraga terhadap kemampuan berpikir kritis siswa kelas VII MTs Raudhatul Thalabah.
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Tamur, Maximus, Subaryo Subaryo, Apolonia H. Ramda, Adi Nurjaman, Sebastianus Fedi, and Aleksander Hamu. "THE EFFECT OF JIGSAW TYPE OF COOPERATIVE LEARNING ON CRITICAL THINKING ABILITY OF JUNIOR HIGH SCHOOL STUDENTS." Journal of Honai Math 4, no. 2 (November 24, 2021): 173–82. http://dx.doi.org/10.30862/jhm.v4i2.201.
Повний текст джерелаАнотація:
Critical thinking ability is an essential component of the four skills needed in the 21st century. However, this ability is still challenging to achieve well by students because of the lack of communication and cooperation during learning mathematics. Therefore, this experimental study with a posttest-only control design was conducted to determine the effect of using the jigsaw cooperative learning model on students' mathematical critical thinking skills. This study involved 62 students consisting of 31 students for the experimental class and 31 students for the control class. Data were analyzed using parametric statistics, namely t-test. The calculation of effect sizes is carried out to determine how much influence the Jigsaw cooperative model has on critical thinking skills using the Hedges'g equation. The analysis results concluded that the critical thinking skills of students who were taught using the jigsaw cooperative learning model were better than those taught using the direct learning model, at a significance level of 0.05. Further analysis obtained an effect size of 0.64, indicating that jigsaw cooperative learning has a moderate effect on students' critical thinking skills. These results provide helpful information for educators and researchers to consider mediators that might mediate the implementation of the learning method in the future.
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Abdulamer, D. "Investigation of flowability of the green sand mould by remote control of portable flowability sensor." Archives of Materials Science and Engineering 112, no. 2 (December 1, 2021): 70–76. http://dx.doi.org/10.5604/01.3001.0015.6289.
Повний текст джерелаАнотація:
Purpose: The useful data and information during the sand compaction process steps should be collected. Direct measurement methods of the sand mould properties during the actual moulding process are not adopted yet. Design/methodology/approach: In this work, a remote control system [1] have been integrated into a new flowability sensor [2]. Findings: To overcome the complexity of the tools and equipment that existed in laboratory, and in foundry. Research limitations/implications: In order to investigate, and control behavior of the moulding process of bentonite-bonded green sand process, the sensors have been equipped with the Bluetooth technology for a wireless transmission of the measured data to computers. Originality/value: This technique contributes to improve of the compaction process based on the non-destructive tests, enhances prediction of the optimum parameter conditions, and reduced the energy, and the compaction time consumed for the green sand moulding process.