Journal articles on the topic 'Physical Context Modeling'
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Tundis, Andrea, Lena Buffoni, Peter Fritzson, and Alfredo Garro. "Model-Based Dependability Analysis of Physical Systems with Modelica." Modelling and Simulation in Engineering 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/1578043.
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Modelica is an innovative, equation-based, and acausal language that allows modeling complex physical systems, which are made of mechanical, electrical, and electrotechnical components, and evaluates their design through simulation techniques. Unfortunately, the increasing complexity and accuracy of such physical systems require new, more powerful, and flexible tools and techniques for evaluating important system properties and, in particular, the dependability ones such as reliability, safety, and maintainability. In this context, the paper describes some extensions of the Modelica language to support the modeling of system requirements and their relationships. Such extensions enable the requirement verification analysis through native constructs in the Modelica language. Furthermore, they allow exporting a Modelica-based system design as a Bayesian Network in order to analyze its dependability by employing a probabilistic approach. The proposal is exemplified through a case study concerning the dependability analysis of a Tank System.
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Bilinski, Alyssa, Farzad Mostashari, and Joshua A. Salomon. "Modeling Contact Tracing Strategies for COVID-19 in the Context of Relaxed Physical Distancing Measures." JAMA Network Open 3, no. 8 (August 21, 2020): e2019217. http://dx.doi.org/10.1001/jamanetworkopen.2020.19217.
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Ehatisham-ul-Haq, Muhammad, Fiza Murtaza, Muhammad Awais Azam, and Yasar Amin. "Daily Living Activity Recognition In-The-Wild: Modeling and Inferring Activity-Aware Human Contexts." Electronics 11, no. 2 (January 12, 2022): 226. http://dx.doi.org/10.3390/electronics11020226.
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Advancement in smart sensing and computing technologies has provided a dynamic opportunity to develop intelligent systems for human activity monitoring and thus assisted living. Consequently, many researchers have put their efforts into implementing sensor-based activity recognition systems. However, recognizing people’s natural behavior and physical activities with diverse contexts is still a challenging problem because human physical activities are often distracted by changes in their surroundings/environments. Therefore, in addition to physical activity recognition, it is also vital to model and infer the user’s context information to realize human-environment interactions in a better way. Therefore, this research paper proposes a new idea for activity recognition in-the-wild, which entails modeling and identifying detailed human contexts (such as human activities, behavioral environments, and phone states) using portable accelerometer sensors. The proposed scheme offers a detailed/fine-grained representation of natural human activities with contexts, which is crucial for modeling human-environment interactions in context-aware applications/systems effectively. The proposed idea is validated using a series of experiments, and it achieved an average balanced accuracy of 89.43%, which proves its effectiveness.
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Mowafi, Yaser, and Ahmad Zmily. "An Evaluation Framework for Context of Use in Mobility." International Journal of Mobile Human Computer Interaction 6, no. 4 (October 2014): 43–58. http://dx.doi.org/10.4018/ijmhci.2014100103.
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Context information is commonly linked to various physical and user activities embedded in users' everyday lives. Research has mainly focused on sensing and inferring context information, yet the relevancy among these contexts is rarely investigated. In this paper, the authors propose an analytical framework for modeling and evaluating collected context data and the nature of relevancy among these data towards defining context awareness. They validate the proposed framework on a case study using a dataset that incorporates users' activities in various situations and surrounding environment scenarios. The framework provides preliminary guidelines for determining representative measures of user and physical context in the design and evaluation policies of context awareness in mobile human computer interaction.
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Zhong, Tao, and Hui Wang. "Testing a motivational process model in the context of physical activity." Social Behavior and Personality: an international journal 47, no. 12 (December 5, 2019): 1–10. http://dx.doi.org/10.2224/sbp.8401.
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Using self-determination theory, we examined the mechanism of motivation in the context of physical activity (PA). We conducted structural equation modeling with 431 participants. The results showed general support for the motivational process model, in which a sequence is specified from autonomy support and causality orientations to psychological need satisfaction to self-determined behavioral regulation to PA behavior. These findings aid understanding of the underlying motivational mechanism of PA behavior, and highlight the positive roles of autonomy support and autonomy orientation in psychological need satisfaction, self-determined behavioral regulation, and PA participation.
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Clary, Kim M. "Modeling the Seafloor." Mathematics Teaching in the Middle School 11, no. 8 (April 2006): 398–406. http://dx.doi.org/10.5951/mtms.11.8.0398.
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Using geometry to do geology, “Modeling the Seafloor” is a handson activity in which students construct mathematical and physical models to represent a portion of the ocean's floor. While making a three-dimensional model of the seabed, students use fractions, decimals, conversions of decimals to fractions, scale drawings, formulas, visualization, and other skills. They see mathematics placed in a real-world context, and they use their mathematics skills as part of a process to achieve a meaningful end result.
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Michalakis, Konstantinos, Yannis Christodoulou, George Caridakis, Yorghos Voutos, and Phivos Mylonas. "A Context-Aware Middleware for Context Modeling and Reasoning: A Case-Study in Smart Cultural Spaces." Applied Sciences 11, no. 13 (June 22, 2021): 5770. http://dx.doi.org/10.3390/app11135770.
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The proliferation of smart things and the subsequent emergence of the Internet of Things has motivated the deployment of intelligent spaces that provide automated services to users. Context-awareness refers to the ability of the system to be aware of the virtual and physical environment, allowing more efficient personalization. Context modeling and reasoning are two important aspects of context-aware computing, since they enable the representation of contextual data and inference of high-level, meaningful information. Context-awareness middleware systems integrate context modeling and reasoning, providing abstraction and supporting heterogeneous context streams. In this work, such a context-awareness middleware system is presented, which integrates a proposed context model based on the adaptation and combination of the most prominent context categorization schemata. A hybrid reasoning procedure, which combines multiple techniques, is also proposed and integrated. The proposed system was evaluated in a real-case-scenario cultural space, which supports preventive conservation. The evaluation showed that the proposed system efficiently addressed both conceptual aspects, through means of representation and reasoning, and implementation aspects, through means of performance.
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Saez, Miguel A., Francisco P. Maturana, Kira Barton, and Dawn M. Tilbury. "Context-Sensitive Modeling and Analysis of Cyber-Physical Manufacturing Systems for Anomaly Detection and Diagnosis." IEEE Transactions on Automation Science and Engineering 17, no. 1 (January 2020): 29–40. http://dx.doi.org/10.1109/tase.2019.2918562.
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Kindrat, Pavlo, Ihor Voitovych, and Vladimir Mashchenko. "APPLICATION OF COMPUTER MODELING POSSIBILITIES IN THE STUDY OF PHYSICAL MODELS." Educational Discourse: collection of scientific papers, no. 33(5) (May 31, 2021): 25–34. http://dx.doi.org/10.33930/ed.2019.5007.33(5)-3.
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The advantages and disadvantages of using a virtual laboratory and computer models in the educational process in physics are identified. The expediency of using virtual laboratories and computer models in the context of mixed physics education is substantiated. To teach future physics teachers to create and use computer models of physical phenomena and processes is carried out in a professionally oriented author's course "Methods of using computer technology in professional activities." The stages of development of a physical model for the formulation of a mathematical problem are described and the implementation on the example of development and use of the program "Dynamic model of an ideal gas" is shown.
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Gao, Qian, and Pengcheng Ma. "Graph Neural Network and Context-Aware Based User Behavior Prediction and Recommendation System Research." Computational Intelligence and Neuroscience 2020 (November 30, 2020): 1–14. http://dx.doi.org/10.1155/2020/8812370.
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Due to the influence of context information on user behavior, context-aware recommendation system (CARS) has attracted extensive attention in recent years. The most advanced context-aware recommendation system maps the original multi-field features into a shared hidden space and then simply connects it to a deep neural network (DNN) or other specially designed networks. However, for different areas, the ability of modeling complex interactions in a sufficiently flexible and explicit way is limited by the simple unstructured combination of feature fields. Therefore, it is hard to get the accurate results of the user behavior prediction. In this paper, a graph structure is used to establish the interaction between context and users/items. Through modeling user behavior, we can explore user preferences in different context environments, so as to make personalized recommendations for users. In particular, we construct a context-user and context-item interactions graph separately. In the interactions graph, each node is composed of a user feature field, an item feature field, and a feature field of different contexts. Different feature fields can interact through edges. Therefore, the task of modeling feature interaction can be transformed into modeling the node interaction on the corresponding graph. To this end, an innovative model called context-aware graph neural network (CA-GNN) model is designed. Furthermore, in order to obtain more accurate and efficient recommendation results, first, we innovatively use the attention mechanism to improve the interpretability of CA-GNN; second, we innovatively use the degree of physical fatigue features which has never been used in traditional CARS as critical contextual feature information into our CA-GNN. We simulated the Food and Yelp datasets. The experimental results show that CA-GNN is better than other methods in terms of root mean square error (RMSE) and mean absolute error (MAE).
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May, Cassandra J., D. Derek Aday, R. Scott Hale, Jonathan C. S. Denlinger, and Elizabeth A. Marschall. "Modeling Habitat Selection of a Top Predator: Considering Growth and Physical Environments in a Spatial Context." Transactions of the American Fisheries Society 141, no. 1 (January 2012): 215–23. http://dx.doi.org/10.1080/00028487.2012.655122.
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Xu, Dong, Gang Zhu, and De Zhen Xu. "Towards Checking Bigraphical Context-Aware Models." Applied Mechanics and Materials 411-414 (September 2013): 545–48. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.545.
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Context-aware computing is an important aspect of Pervasive Computing, Cyber-physical Systems (CPS), Cloud computing, etc. Recently, few works have been reported on formal approaches for this area. Bigraph was proposed as a mathematical structure that is consist of two graphs, a place graph and a link graph, intended for modeling distributed, mobile systems, etc. Bigraphs and its corresponding Bigraphical Reactive Systems (BRSs) present a modern, graphical structure, algebra calculus for the description of the syntax and semantics of systems in accordance with the orthogonal notions of connectivity and locality. Bigraphs and BRSs have been applied in various areas. Bigraph is used to formalize context-aware models in this paper. Then, we present an approach to check the formal context-aware models. The formalisms and checking are explicitly depicted through a simple but non-trivial example.
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Glushkova, Todorka, Stanimir Stoyanov, Lyubka Doukovska, Jordan Todorov, and Ivan Stoyanov. "Modeling of an irrigation system in a virtual physical space." Mathematical Biosciences and Engineering 18, no. 5 (2021): 6841–56. http://dx.doi.org/10.3934/mbe.2021340.
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<abstract> <p>One of the major challenges that smart agriculture is expected to address is the efficient use of water resources. The conservation and the efficient use of clean water is a long-term strategy worldwide. Modeling of smart agriculture systems is an important factor because the processes there are very slow and sometimes it takes a year or more for a full crop cycle. At the same time, a large amount of data is usually needed to make informed decisions. This determines the importance of developing appropriate systems through which to simulate, generate, optimize and analyze various possible scenarios and prepare appropriate plans. In this paper, an infrastructure known as Virtual-Physical Space adapted for agriculture is presented. The space supports integration of the virtual and physical worlds where analysis and decision making are done in the virtual environment and the state of the physical objects (things) of interest is also taken into account at the same time. Special attention is paid to the possibilities for modeling an irrigation system. An ambient-oriented approach has been adopted, using the Calculus of Context-aware Ambients formalism as the basic tool for modeling agriculture processes. Furthermore, the supporting platform is briefly presented. Active components of the platform are implemented as intelligent agents known as assistants. Users (agriculture operators) are serviced by personal assistants. Currently, the presented modeling system is deployed over a two layered system infrastructure in the region of Plovdiv city. Plovdiv is the center of vegetable production in Bulgaria. The process of modeling intelligent irrigation systems and the current results are discussed in this paper.</p> </abstract>
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Carbert, Brussoni, Geller, and Mâsse. "Familial Environment and Overweight/Obese Adolescents’ Physical Activity." International Journal of Environmental Research and Public Health 16, no. 14 (July 17, 2019): 2558. http://dx.doi.org/10.3390/ijerph16142558.
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(1) Background: Family environments can impact obesity risk among adolescents. Little is known about the mechanisms by which parents can influence obesity-related adolescent health behaviours and specifically how parenting practices (e.g., rules or routines) and/or their own health behaviours relate to their adolescent’s behaviours. The primary aim of the study explored, in a sample of overweight/obese adolescents, how parenting practices and/or parental modeling of physical activity (PA) behaviours relate to adolescents’ PA while examining the moderating role of parenting styles and family functioning. (2) Methods: A total of 172 parent-adolescent dyads completed surveys about their PA and wore an accelerometer for eight days to objectively measure PA. Parents completed questionnaires about their family functioning, parenting practices, and styles (authoritative and permissive). Path analysis was used for the analyses. (3) Results: More healthful PA parenting practices and parental modeling of PA were both associated with higher levels of adolescents’ self-reported moderate-vigorous physical activity (MVPA). For accelerometer PA, more healthful PA parenting practices were associated with adolescents’ increased MVPA when parents used a more permissive parenting style. (4) Conclusions: This study suggests that parenting practices and parental modeling play a role in adolescent’s PA. The family’s emotional/relational context also warrants consideration since parenting style moderated these effects. This study emphasizes the importance of incorporating parenting styles into current familial interventions to improve their efficacy.
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Moreno-Murcia, Juan Antonio, Julio Barrachina-Peris, Manuel Ballester Campillo, Estefanía Estévez, and Elisa Huéscar. "Proposal for Modeling Motivational Strategies for Autonomy Support in Physical Education." International Journal of Environmental Research and Public Health 18, no. 14 (July 20, 2021): 7717. http://dx.doi.org/10.3390/ijerph18147717.
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The motivational style that teachers adopt during their interactions with their students in class can have a significant influence on the search for optimal and balanced development. Knowing the role of motivation in generating positive change, the key is to define the strategies that constitute an adaptive motivational style of teaching. The aim of this study was to design and validate the set of motivational strategies to support autonomy that are framed within the Self-Determination Theory in the context of physical education classes. For this purpose, a five-phase process was designed and carried out in one study involving different samples of experts, teachers and students. On the one hand, 25 autonomy-supportive motivational strategies were obtained and organized according to their perceived difficulty. We also analyzed the importance attributed by teachers and the difficulty of implementing them, as well as the autonomy support perceived by students through these strategies. The results obtained made it possible to present a behavior-optimizing solution consisting of a progression of 25 autonomy support strategies. The results obtained are discussed in terms of their value in the design of educational scenarios that promote high-quality student motivation.
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Bain, Kinsey, Jon-Marc G. Rodriguez, Alena Moon, and Marcy H. Towns. "The characterization of cognitive processes involved in chemical kinetics using a blended processing framework." Chemistry Education Research and Practice 19, no. 2 (2018): 617–28. http://dx.doi.org/10.1039/c7rp00230k.
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Chemical kinetics is a highly quantitative content area that involves the use of multiple mathematical representations to model processes and is a context that is under-investigated in the literature. This qualitative study explored undergraduate student integration of chemistry and mathematics during problem solving in the context of chemical kinetics. Using semi-structured interviews, participants were asked to make their reasoning and thinking explicit as they described provided equations and as they worked though chemical kinetics problems. Here we describe the results from our study, which included thirty-six general chemistry students, five physical chemistry students, and three chemical engineering students. Analysis and findings are framed in terms of blended processing, a theory from cognitive science that characterizes human knowledge integration. Themes emerged relating to contexts that were commonly discussed when blending occurred. Variation in the depth and directionality of blending was also observed and characterized. Results provide implications for supporting student problem solving and the modeling of chemical processes.
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Sisira Kumara, Ajantha, and Vilani Sachitra. "Modeling the participation in physical exercises by university academic community in Sri Lanka." Health Education 121, no. 5 (June 15, 2021): 504–22. http://dx.doi.org/10.1108/he-02-2021-0031.
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PurposeThe World Health Organization issued its global action plan on physical activities 2018–2030, emphasizing the importance of context-specific evidence on the subject. Accordingly, this study aims to provide unique and important policy insights on trends and drivers of participation in physical exercises by academic community in Sri Lankan universities.Design/methodology/approachFor this purpose, we collected cross-sectional data (n = 456) in 2020 using a survey, and first, estimated a double-hurdle model to uncover covariates influencing likelihood and intensity of physical exercises overall. Second, count-data models are estimated to capture regularity of key exercises.FindingsThe results reveal that about 50% of members do not participate in any general physical exercise. Older members (marginal effect (ME) = 3.764, p < 0.01), non-Buddhists (ME = 54.889, p < 0.01) and alcohol consumers (ME = 32.178, p < 0.05) exhibit a higher intensity of participating in exercises overall. The intensity is lower for rural members (ME = −63.807, p < 0.01) and those with health insurance covers (ME = −31.447, p < 0.05). Individuals diagnosed for chronic illnesses show a higher likelihood of exercising but, their time devotion is limited. The number of children the academic staff members have as parents reduces the likelihood, but for those who choose to exercise have higher time devotion with increased number of children. The covariates play a similar role in determining regularity of key exercises: walking, jogging and exercising on workout machines.Research limitations/implicationsThe results imply a need to promote exercising in general and particularly among younger, healthy, insured and female individuals living in rural sector.Originality/valueThe study covers an under-researched professional sub-group in an under-researched developing context, examining both the likelihood and regularity of exercising as both dimensions are equally important for individuals to maintain healthy lives.
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Camapum de Carvalho, José, and Gilson Gitirana. "Unsaturated soils in the context of tropical soils." Soils and Rocks 44, no. 3 (September 23, 2021): 1–25. http://dx.doi.org/10.28927/sr.2021.068121.
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The practice of geotechnical engineering in tropical climate regions must consider the use of unsaturated soil concepts. However, these concepts must also take into account the specific behavior traits of tropical soils, particularly those related to soil aggregation, pore structure, and mineralogy. This paper will initially present considerations on the typical properties of unsaturated tropical soils as well as fundamental concepts. Throughout the article, several engineering problems will be presented alongside reflections on the complex interaction between the numerous variables involved in the modeling and engineering practice of tropical unsaturated soil behavior. The paper addresses issues related to soil formation, chemical and mineral composition, physical properties, tropical soil classification, and structural characteristics of soils. Issues related to compaction and the influence of weathering, geomorphology and bioengineering are also addressed.
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Lin, Sheng-Jun, Laurent Pagani, Shih-Ping Lai, Charlène Lefèvre, and François Lique. "Physical and chemical modeling of the starless core L 1512." Astronomy & Astrophysics 635 (March 2020): A188. http://dx.doi.org/10.1051/0004-6361/201936877.
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Context. The deuterium fractionation in starless cores gives us a clue to estimate their lifetime scales, thus allowing us to distinguish between dynamical theories of core formation. Cores also seem to be subject to a differential N2 and CO depletion, which was not expected from the models. Aims. We aim to create a survey of ten cores to estimate their lifetime scales and depletion profiles in detail. After describing L 183, located in Serpens, we present the second cloud of the series, L 1512, from the star-forming region Auriga. Methods. To constrain the lifetime scale, we performed chemical modeling of the deuteration profiles across L 1512 based on dust extinction measurements from near-infrared observations and nonlocal thermal equilibrium radiative transfer with multiple line observations of N2H+, N2D+, DCO+, C18O, and 13CO, plus H2D+ (110–111). Results. We find a peak density of 1.1 × 105 cm−3 and a central temperature of 7.5 ± 1 K, which are higher and lower, respectively, compared with previous dust emission studies. The depletion factors of N2H+ and N2D+ are 27−13+17 and 4−1+2 in L 1512, which are intermediate between the two other more advanced and denser starless core cases, L 183 and L 1544. These factors also indicate a similar freeze-out of N2 in L 1512, compared to the two others despite a peak density one to two orders of magnitude lower. Retrieving CO and N2 abundance profiles with the chemical model, we find that CO has a depletion factor of ~430–870 and the N2 profile is similar to that of CO unlike that toward L 183. Therefore, L 1512 has probably been living long enough so that N2 chemistry has reached steady state. Conclusions. N2H+ modeling is necessary to assess the precise physical conditions in the center of cold starless cores, rather than dust emission. L 1512 is presumably older than 1.4 Myr. Therefore, the dominating core formation mechanism should be ambipolar diffusion for this source.
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Neureiter, Christian, and Christoph Binder. "A Domain-Specific, Model Based Systems Engineering Approach for Cyber-Physical Systems." Systems 10, no. 2 (March 26, 2022): 42. http://dx.doi.org/10.3390/systems10020042.
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Model Based Systems Engineering as a scientific discipline tries to address the increasing complexity of today’s cyber-physical systems by utilizing different kinds of models. In practical application, however, this approach is often constrained to SysML-based object modeling. Even though this appears to be a suitable approach for dealing with complexity, various restrictions limit stakeholder acceptance. Considering scientific discussions in the context of modeling shows two different schools of thought. On the one hand, arguments for more formalized and rigorous concepts can be found, where on the other hand, the need for more stakeholder-oriented and easier-to-understand concepts is postulated. As both are reasonable, the question of integration arises. To address this aspect, we developed the concept of Domain Specific Systems Engineering. Our research in this field lasted for nearly a decade, and different aspects have been investigated. This paper contributes a summary of the overall approach that integrates the various aspects investigated so far. Thus, the underlying concepts are explained, and the corresponding modeling stack and tool-chain are described in more detail. Further, the practical experiences from various case studies are summarized, and identified shortcomings are discussed.
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Blaschke, Simon, Johannes Carl, Jan Ellinger, Ulrich Birner, and Filip Mess. "The Role of Physical Activity-Related Health Competence and Leisure-Time Physical Activity for Physical Health and Metabolic Syndrome: A Structural Equation Modeling Approach for German Office Workers." International Journal of Environmental Research and Public Health 18, no. 19 (September 27, 2021): 10153. http://dx.doi.org/10.3390/ijerph181910153.
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Office workers (OWs) are prone to insufficient physical activity (PA), which increases their risk of metabolic syndrome (MetS) and impaired physical health. The Physical Activity-related Health Competence (PAHCO) model holds the potential to facilitate a healthy physically active lifestyle. Therefore, in this study, we investigate the interplay between PAHCO, leisure-time PA, physical health, and MetS in OWs in Germany. In a cross-sectional study, OWs (N = 316, 25% female) completed self-report questionnaires along with an occupational health checkup to examine their Metabolic Syndrome Severity Score (MetSSS) values. Structural equation modeling indicated a strong positive association between PAHCO and leisure-time PA and a small positive association with physical health. PAHCO showed a considerable negative association with the MetSSS. Leisure-time PA was a positive mediator for the PAHCO–physical health association but was not a significant mediator for the association between PAHCO and the MetSSS. These findings underscore the importance of PAHCO in the context of leisure-time PA, physical health, and MetS in OWs. Furthermore, our findings highlight the health-enhancing value of the qualitative aspects of PA, such as motivational and volitional components in PA participation, with respect to physical health and MetS.
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Papaioannou, Athanasios G., Nikolaos Tsigilis, Eudoxia Kosmidou, and Dimitrios Milosis. "Measuring Perceived Motivational Climate in Physical Education." Journal of Teaching in Physical Education 26, no. 3 (July 2007): 236–59. http://dx.doi.org/10.1123/jtpe.26.3.236.
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A new instrument of motivational climate in physical education is presented with the goal of measuring perceptions of teachers’ emphasis on mastery, performance–approach, performance–avoidance, and social approval goals. The measure was based on the principle of compatibility, according to which climate perceptions and achievement goals should be compatible between each other in terms of target, action domain, life context, and time. The measure was administered to 928 middle school students alongside scales of intrinsic motivation, amotivation, and satisfaction. The statistical analyses included structural equation modeling, investigation of factor correlations, correlation of this measure with intrinsic motivation, satisfaction, and amotivation in physical education and investigation of intraclass correlations. The findings provide evidence of construct validity for the new measure and suggest that mastery and social approval goals can facilitate intrinsic motivation of students.
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Matei, Ion, Alexander Feldman, Johan De Kleer, and Alexandre Perez. "Real time model-based diagnosis enabled by hybrid modeling." Annual Conference of the PHM Society 12, no. 1 (November 3, 2020): 10. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1278.
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In this paper we propose a hybrid modeling approach for generating reduced models of a high fidelity model of a physical system. We propose machine learning inspired representations for complex model components. These representations preserve in part the physical interpretation of the original components. Training platforms featuring automatic differentiation are used to learn the parameters of the new representations using data generated by the high-fidelity model. We showcase our approach in the context of fault diagnosis for a rail switch system. We generate three new model abstractions whose complexities are two order of magnitude smaller than the complexity of the high fidelity model, both in the number of equations and simulation time. Faster simulations ensure faster diagnosis solutions and enable the use of diagnosis algorithms relying heavily on large numbers of model simulations.
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Burgueño, Rafael, José Macarro-Moreno, and Jesús Medina-Casaubón. "Psychometry of the Multidimensional Perceived Autonomy Support Scale in Physical Education With Spanish Secondary School Students." SAGE Open 10, no. 1 (January 2020): 215824401990125. http://dx.doi.org/10.1177/2158244019901253.
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This research aimed to adapt and psychometrically examine the Multidimensional Perceived Autonomy Support Scale in Physical Education in the Spanish context. The participants were 560 (264 men and 296 women; Mage = 14.49, SDage = 1.05) physical education secondary school students. The results underpinned a 15-item three-factor correlated model, which was invariant across gender and age. The reliability analysis reflected an acceptable level of internal consistency and temporal stability for each factor. The structural equation modeling showed that perceived cognitive, procedural, and organizational autonomy support predicted positively and significantly basic psychological need satisfaction. The Multidimensional Perceived Autonomy Support Scale in Physical Education is a valid and reliable instrument to multidimensionally measure the secondary school students’ perception of autonomy support from physical education teachers in the Spanish context.
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Horváth, László, and Imre J. Rudas. "Intelligent Computing Methods for Contextual Driving in Smart Engineering Model Systems." Electronics 11, no. 11 (May 30, 2022): 1728. http://dx.doi.org/10.3390/electronics11111728.
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An engineering model system (EMS) is a complex purposeful structure of representation and description type content that is developed during development and application; in other words, it represents the lifecycle of an industrial product. The essential improvements for systems operated that are autonomous, situation controlled, and include cyber physical features of products dramatically changed requirements relative to EMS. Engineering modeling platforms (EMPs) experienced major improvements to cope with new requirements by smart products. These improvements were related to system level representation, autonomous active model features, situation level reaction to changed contexts, system and physical level virtual execution, and the support of situation-level human intervention. The lifecycle support of smart product engineering requires EMS, which behaves as a digital twin of a physically existing products and has an active connection with its contextual world, particularly with cyber units of the cyber physical system that it represents. The work in this paper aimed to develop new methods that can be implemented in EMS under developments in EMP. This is a new area of research that is motivated and at the same time enforced by moving engineering activities into highly integrated and automated complex model spaces. This paper focuses on context driving and the autonomous features of EMS as well as utilization-organized intellectual-property-powered intelligent computing relative to the definition and application of contextually connected object parameters in EMS. It introduces several latest results by the authors as a contribution for EMS to cope with the new requirements. These contributions include a new scenario called the lifecycle representation of contexts (LRC) to enhance integration in EMS, handling contexts in contextually connected autonomous unit (CCAU), organizing the intelligent content of EMS in proposed level-sublevel structure of LRC, and examining findings about situation-level cooperation between human and autonomous process.
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Zanevskyy, Ihor, Kostiantyn Labartkava, Romana Sirenko, Ivan Rybchych, Andriy Dulibskyy, Oleh Martyniv, and Vasyl Zakhidnyy. "General endurance of first-year university students in the context of Covid-19 pandemics." Cypriot Journal of Educational Sciences 16, no. 5 (October 31, 2021): 2872–78. http://dx.doi.org/10.18844/cjes.v16i5.6380.
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The Covid-–19 pandemics caused significant damage to the system of physical education of students. The purpose of this research was to create a practical model of general physical endurance of first-year university male students in the context of the pandemic of the corona virus. The testing was carried out during physical education classes, which took place according to the first academic year curriculum. The time of overcoming the 2000 meters course on the stadium treadmill was measured in September and in March of the academic year 2019-2020. During the research stage, the indicator of general endurance of students of all the three universities statistically significantly deteriorated. According to the results of ANOVA the absence of a statistically significant difference in the value of the indicator of general endurance between students of three universities both at the beginning and at the end of the research stage was revealed.
Keywords: Covid–19; endurance; modeling; students; testing
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Padilla-Cuevas, Josué, José A. Reyes-Ortiz, and Maricela Bravo. "Ontology-Based Context Event Representation, Reasoning, and Enhancing in Academic Environments." Future Internet 13, no. 6 (June 10, 2021): 151. http://dx.doi.org/10.3390/fi13060151.
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An Ambient Intelligence responds to user requests based on several contexts. A relevant context is related to what has happened in the ambient; therefore, it focuses a primordial interest on events. These involve information about time, space, or people, which is significant for modeling the context. In this paper, we propose an event-driven approach for context representation based on an ontological model. This approach is extendable and adaptable for academic domains. Moreover, the ontological model to be proposed is used in reasoning and enrichment processes with the context event information. Our event-driven approach considers five contexts as a modular perspective in the model: Person, temporal (time), physical space (location), network (resources to acquire data from the ambient), and academic events. We carried out an evaluation process for the approach based on an ontological model focused on (a) the extensibility and adaptability of use case scenarios for events in an academic environment, (b) the level of reasoning by using competence questions related to events, (c) and the consistency and coherence in the proposed model. The evaluation process shows promising results for our event-driven approach for context representation based on the ontological model.
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Rahman, Muhammad Sabbir, Abdul Highe Khan, and Hasan Moudud. "Firms Commitment And Brand Image And Their Impact On Experience Marketing: Developing Countrys Perspective." Journal of Applied Business Research (JABR) 29, no. 3 (April 23, 2013): 871. http://dx.doi.org/10.19030/jabr.v29i3.7787.
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This research applied exploratory factor analysis, confirmatory factor analysis and structural equation modeling to investigate the experience marketing philosophy on service providers within the context of Bangladeshi consumers. The findings confirmed that there is a strong relationship between brand images towards experience marketing when physical context of a firm plays a mediating role. This research opens up opportunities for managers to identify significant factors those are linked towards building experience marketing.
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Đorđić, Višnja, and Dušanka Tumin. "Sport role models and their influence on physical activity participation of adolescent girls." Socioloski godisnjak, no. 6 (2011): 111–25. http://dx.doi.org/10.5937/socgod1106111q.
Full textAbstract:
Adolescence as a transitional stage between childhood and adulthood, bears numerous developmental challenges. Special attention should be paid to physical activity decrease, particularly pronounced in adolescent girls, and associated health risks. A number of studies analyzed concept of role modeling within the context of health and physical activity promotion in young people. This paper critically reviews current knowledge about relevance and influence of sport role models on physical activity participation of adolescent girls, including media presentation of female sport role models and designing of effective strategies in physical activity promotion in population of adolescent girls.
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Manukyan, Vahram K. "Software applications in modeling of physical processes in radio engineering and electronics in the context of distance learning." Physics of Wave Processes and Radio Systems 24, no. 1 (May 6, 2021): 89–97. http://dx.doi.org/10.18469/1810-3189.2021.24.1.89-97.
Full textAbstract:
This article examines the existing software applications for electronic circuit prototyping that can help evaluate the operation of the entire circuit based on specified parameters and find the best options. Using the TAC application and the Arduino library components, projects and instructions for creating and testing electronic circuits were developed. The resulting application was tested for capabilities and efficiency. The interface design and settings were also assessed to determine whether they simulate real conditions. The functionality of TAC application made it possible to generate alternate circuits. The results of software testing showed that using the application speeds up the learning process significantly when compared to traditional methods and helps eliminate problems that may emerge when designing and assembling circuits. The application may be useful in designing complex electronic circuits and developing teaching aids for students in technical fields.
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Perminov, V. A. "Mathematical Modeling of Large Forest Fires Initiation and Spread." International Journal of Geology 16 (March 9, 2022): 15–21. http://dx.doi.org/10.46300/9105.2022.16.4.
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It is presented mathematical model for description of heat and mass transfer processes at crown and large forest fires initiation and spread, taking into account their mutual influences. Mathematical model of forest fire was based on an analysis of experimental data and using concepts and methods from reactive media mechanics. The paper suggested in the context of the general mathematical model of forest fires give a new mathematical setting and method of numerical solution of a problem of a forest fire modeling. The boundary-value problem is solved numerically using the control volume methods and method of splitting according to physical processes. In this context, a study - mathematical modeling - of the conditions of forest fire initiation and spreading that would make it possible to obtain a detailed picture of the change in the velocity, temperature and component concentration fields with time, and determine as well as the conditions of forest fires initiation and spread is of interest.
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Graves, Kelly N., Stacy M. Sechrist, Jacquelyn W. White, and Matthew J. Paradise. "Intimate Partner Violence Perpetrated by College Women within the Context of a History of Victimization." Psychology of Women Quarterly 29, no. 3 (September 2005): 278–89. http://dx.doi.org/10.1111/j.1471-6402.2005.00222.x.
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Using a longitudinal design, the current study explored intimate partner violence perpetration among 1,300 college women within the context of one's history of physical and sexual victimization across 4 years of college. Structural equation modeling indicated that sexual victimization does not predict concurrent use of women's intimate partner violence but does predict subsequent use of women's intimate partner violence during the later years of college. In contrast, physical victimization is associated positively with concurrent use of women's intimate partner violence but is negatively associated with subsequent use of women's intimate partner violence for women. Furthermore, the negative relationship of victimization to subsequent perpetration primarily is due to those with high levels of victimization histories. The present study provides the first model of intimate partner violence within the context of victimization history using longitudinal data. The findings indicate that women's intimate partner violence perpetration is not context-free, but rather is influenced by their own physical and sexual victimization histories.
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MAKHLOUF ADEL, Khouas, Telaidjia DJAMEL, and Habibi YAHYAOUI. "INTEGRATION OF A GIS AND HEC-HMS MODELING TO IMPROVE URBAN RESILIENCE TO FLOOD RISK IN ALGIERS. ALGERIA." Analele Universităţii din Oradea, Seria Geografie 31, no. 2 (December 31, 2021): 100–109. http://dx.doi.org/10.30892/auog.312102-860.
Full textAbstract:
The study of the phenomenon of flooding in an urban environment requires the integration of the city in its physical context, in this case the entire impluvium. Thus, the consideration of all the hydrological, morphometric and physical characteristics (topography, lithology, land cover...). In order to put in place appropriate measures to improve urban resilience and protect the population and their property in the capital of Algeria (City of Algiers), a hydrological modeling must be carried out upstream to evaluate the hydrological response of the watershed. This modeling was done using the auxiliary tool HEC-GEO HMS, an extension that works in a GIS environment (ArcGIS).
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Narayanan, Desika, Qi Li, Romeel Davé, Charlie Conroy, Benjamin D. Johnson, and Gergo Popping. "Modeling dust in a universe of galaxies." Proceedings of the International Astronomical Union 15, S352 (June 2019): 44–54. http://dx.doi.org/10.1017/s1743921319009633.
Full textAbstract:
AbstractIn this invited talk, we discuss the physics of the lifecycle of dust in the context of galaxy formation simulations. After outlining the basic physical processes, we apply algorithms for the formation, growth, and destruction of dust in the ISM to a state-of-the-art cosmological simulation to develop a model for the evolution of the dust to gas and dust to metals ratios in galaxies. We show that while modern simulations are able to match the observed dust mass function at redshift z = 0, most models underpredict the observed mass function at high-redshift (z = 2). We then show the power of these techniques by expanding our model to include a spectrum of dust sizes, and make initial predictions for extinction laws in local galaxies.
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Castillo, Isabel, Javier Molina-García, Isaac Estevan, Ana Queralt, and Octavio Álvarez. "Transformational Teaching in Physical Education and Students’ Leisure-Time Physical Activity: The Mediating Role of Learning Climate, Passion and Self-Determined Motivation." International Journal of Environmental Research and Public Health 17, no. 13 (July 5, 2020): 4844. http://dx.doi.org/10.3390/ijerph17134844.
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In the context of education, this study examined the relationship between perceiving a transformational physical education (PE) teacher and student’s leisure-time physical activity (PA). Furthermore, we tested the potential mediation role of motivational learning climate, passion and self-determined motivation in this relationship. The sample was composed of 2210 high-school PE students (1145 males, 1065 females) between 16 and 20 years of age. Results of structural equation modeling revealed that the perceived transformational PE teacher–PA outcomes relationship was stronger when students perceived a task-involving climate, when they were harmoniously passionate, and when they were self-determined. We conclude that students’ health-enhancing behaviours could be improved if their PE teachers use transformational teaching style and created a task-oriented learning climate.
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Inkin, Oleksandr, Volodymyr Tishkov, Nataliia Dereviahina, and Vadym Sotskov. "Integrated analysis of geofiltrational parameters in the context of underground coal gasification relying upon calculations and modeling." E3S Web of Conferences 60 (2018): 00035. http://dx.doi.org/10.1051/e3sconf/20186000035.
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Objective of the paper is to substantiate and implement the integrated approach aimed at the studies of filtration and mass-transfer processes within roof rocks of coal seams in the context of their underground gasification. Integrity of the studies is substantiated by the use of analytical calculations as well as physical and numerical modeling. Zones with different permeability have been determined and values of specific water inflow have been identified basing upon the performed numerical modeling and involving multicomponent transformations within roof formation. The research data actuality is in the studies of spatial and temporal dynamics of rock technogenic rock permeability above gasification channel depending upon their geological structure which will favour the substantiation of efficient engineering solutions to control a process of underground coal gasification under difficult hydrogeological conditions.
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Neshteruk, Cody D., Deborah J. Jones, Asheley Skinner, Alice Ammerman, Deborah F. Tate, and Dianne S. Ward. "Understanding the Role of Fathers in Children’s Physical Activity: A Qualitative Study." Journal of Physical Activity and Health 17, no. 5 (May 1, 2020): 540–47. http://dx.doi.org/10.1123/jpah.2019-0386.
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Background: Parents are influential in supporting children’s physical activity, but relatively little is known about the role of fathers in children’s physical activity. Methods: Semi-structured interviews (n = 24) were conducted with low-active and active fathers of children 3–11 years old. Deductive thematic analysis was used to identify fathers’ physical activity practices and understand how fathers interact with their children around physical activity. Results: All fathers demonstrated coparticipation in physical activity with their children. Other physical activity practices commonly used by fathers included as follows: facilitation of active opportunities, modeling, involvement through coaching or teaching, and encouragement. In addition, fathers viewed physical activity as an opportunity to spend time with their children to bond and develop shared interests. Finally, fathers perceived their role in children’s physical activity to be different compared with mothers. Regarding father activity level, active fathers discussed modeling more frequently and tended to engage in a variety of different activities compared with low-active fathers. Conclusions: Fathers play an important role in their children’s physical activity, suggesting that physical activity may be one context in which to prompt paternal involvement, foster father–child relationships, and strengthen paternal parenting.
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Zhang, Yong, Chengkai Wu, Xiaoyu Liu, Li Wang, Chunyue Dai, Jianhang Cui, Yukun Li, and Nicholas Kinar. "The Development of Frequency Multipliers for Terahertz Remote Sensing System." Remote Sensing 14, no. 10 (May 23, 2022): 2486. http://dx.doi.org/10.3390/rs14102486.
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This paper summarizes the development of novel Schottky-diode-based terahertz frequency multipliers. The basic structure and manufacturing process of planar Schottky barrier diodes (SBDs) are reviewed, along with other diode structures that have been proposed in the literature. A numerical modeling method for the novel diodes in the context of terahertz frequency multipliers is presented, which includes 3D electromagnetic (EM) modeling, electro-thermal modeling and modeling of physical non-ideal effects. Furthermore, a general design methodology for developing terahertz frequency multipliers is introduced, involving a sub-division design method (SDM), a global design method (GDM) and a half-sub-division and half-global design method (HS-HGDM). These methods are summarized and compared for 110 GHz and 220 GHz frequency multipliers in the context of communication and imaging applications. Laboratory measurements of these multipliers show good agreement with numerical simulations. Finally, several classic terahertz remote sensing systems are reviewed, and a 220 GHz remote sensing system established using novel frequency multipliers for security inspection purposes is presented along with associated imaging results.
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Giesbrecht, Gerald F., Bonnie J. Leadbeater, and Stuart W. S. Macdonald. "Child and context characteristics in trajectories of physical and relational victimization among early elementary school children." Development and Psychopathology 23, no. 1 (January 24, 2011): 239–52. http://dx.doi.org/10.1017/s0954579410000763.
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AbstractTransactional models suggest that peer victimization results from both individual and context differences, and understanding these differences may point to important targets for prevention and interventions that reduce victimization. Multilevel modeling was used to examine within-person (aggression and emotional dysregulation), between-person (sex and age), and between-school (participation in a victimization prevention program) factors that influence changes in physical and relational victimization over the first three years of elementary school. Children (n = 423) reported their experiences of peer victimization at entry into Grade 1 and at the end of Grade 1, Grade 2, and Grade 3. On average, trajectories of both physical and relational victimization declined. However, for individual children, teacher-rated aggression was associated with increases in physical and relational victimization, while emotional dysregulation was associated with attenuation of longitudinal declines in physical victimization and increases in relational victimization. Individual differences in sex and age at entry into Grade 1 did not significantly influence victimization trajectories over Grades 1 to 3. Children who participated in the WITS® victimization prevention program showed significant declines in physical and relational victimization. Levels of victimization among nonparticipants remained stable. Implications of child and context characteristics for preventing peer victimization in elementary school are discussed.
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Aristodemo, Francesco, Domenico Davide Meringolo, and Paolo Veltri. "A MULTI-NODE APPROACH TO SIMULATE THIN COASTAL STRUCTURES IN THE SPH CONTEXT." Coastal Engineering Proceedings, no. 35 (June 23, 2017): 1. http://dx.doi.org/10.9753/icce.v35.structures.1.
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We propose an improvement in modeling solid boundary
conditions for 2D weakly-compressible Smoothed Particle Hydrodynamics (SPH) simulations for cases in
which the thickness of the body is small compared to the desired
particle size and the fluid surrounds the body from more than one
side. Specifically, the fixed ghost particles technique developed by
Marrone et al. (2011), based on interpolation nodes located within the
fluid domain, is here extended to a multi-node approach. The fluid
domain is thus divided into various sub-areas and an interpolation
node for the considered solid particle is associated to every
sub-area. Consequently, the solid particles present an array of
values interpolated at different sub-areas for the same physical
quantity. When a fluid particle located in a specific region
interacts with a multi-node fixed ghost particle, the last assumes
the field values interpolated in the reference area through the
associated node. The present modeling allows to adopt a coarser
spatial resolution to model the same physical problem, resulting in
a reduction of the computational cost.
The proposed solid boundary treatment is applied to horizontal decks and perforated
wall-caisson breakwaters subjected to regular waves. In this
context, an automatic hybrid diffusive formulation is introduced in order to prevent shock
waves during water impacts and preserve the hydrostatic pressure.
The formulation is obtained by defining a variable parameter
detecting the occurrence of relevant density gradients induced by
fluid impacts, resulting in an automatic switch between the two
formulations.
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Liang, X. Z., and F. Zhang. "Cloud-Aerosol-Radiation (CAR) ensemble modeling system." Atmospheric Chemistry and Physics Discussions 13, no. 4 (April 19, 2013): 10193–261. http://dx.doi.org/10.5194/acpd-13-10193-2013.
Full textAbstract:
Abstract. A Cloud-Aerosol-Radiation (CAR) ensemble modeling system has been developed to incorporate the largest choices of alternative parameterizations for cloud properties (cover, water, radius, optics, geometry), aerosol properties (type, profile, optics), radiation transfers (solar, infrared), and their interactions. These schemes form the most comprehensive collection currently available in the literature, including those used by the world leading general circulation models (GCMs). The CAR provides a unique framework to determine (via intercomparison across all schemes), reduce (via optimized ensemble simulations), and attribute specific key factors for (via physical process sensitivity analyses) the model discrepancies and uncertainties in representing greenhouse gas, aerosol and cloud radiative forcing effects. This study presents a general description of the CAR system and illustrates its capabilities for climate modeling applications, especially in the context of estimating climate sensitivity and uncertainty range caused by cloud-aerosol-radiation interactions. For demonstration purpose, the evaluation is based on several CAR standalone and coupled climate model experiments, each comparing a limited subset of the full system ensemble with up to 896 members. It is shown that the quantification of radiative forcings and climate impacts strongly depends on the choices of the cloud, aerosol and radiation schemes. The prevailing schemes used in current GCMs are likely insufficient in variety and physically biased in a significant way. There exists large room for improvement by optimally combining radiation transfer with cloud property schemes.
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Goudenège, Ludovic, Adam Larat, Julie Llobell, Marc Massot, David Mercier, Olivier Thomine, and Aymeric Vié. "Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid." ESAIM: Proceedings and Surveys 65 (2019): 401–24. http://dx.doi.org/10.1051/proc/201965401.
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This paper exposes a novel exploratory formalism, the end goal of which is the numerical simulation of the dynamics of a cloud of particles weakly or strongly coupled with a turbulent fluid. Given the large panel of expertise of the list of authors, the content of this paper scans a wide range of connex notions, from the physics of turbulence to the rigorous definition of stochastic processes. Our approach is to develop reduced-order models for the dynamics of both carrying and carried phases which remain consistant within this formalism, and to set up a numerical process to validate these models. The novelties of this paper lie in the gathering of a large panel of mathematical and physical definitions and results within a common framework and an agreed vocabulary (sections 1 and 2), and in some preliminary results and achievements within this context, section 3. While the first three sections have been simplified to the context of a gas field providing that the disperse phase only retrieves energy through drag, the fourth section opens this study to the more complex situation when the disperse phase interacts with the continuous phase as well, in an energy conservative manner. This will allow us to expose the perspectives of the project and to conclude.
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Posada, Jorge, Iñigo Barandiaran, Jairo R. Sánchez, Daniel Mejia-Parra, Aitor Moreno, Marco Ojer, and Oscar Ruiz-Salguero. "Computer graphics and visual computing use cases for Industry 4.0 and Operator 4.0." International Journal for Simulation and Multidisciplinary Design Optimization 12 (2021): 29. http://dx.doi.org/10.1051/smdo/2021026.
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In the context of smart manufacturing, the concept of Visual Computing is a key enabling technology for Industry 4.0. Visual Computing and Physically-based simulation enables the implementation of interactive, visual and (in most cases) non-disruptive solutions within the context of (a) the production process (off-line or in-line) the shop floor, (b) the interaction with customers and clients in the whole value chain, and/or (c) the product-service schemas. Technologies such as Industrial Big Data, Human-Robot Collaboration, IIOT & 5G, Cybersecurity, Cyber-Physical Systems, Semantic Technologies, Visual Computing and other related technologies have a strong impact in the new ways smart manufacturing is reconfiguring the production. This article presents a theoretical framework for the incorporation of Visual Computing and Physically-based Simulation technologies to Industry 4.0 and Operator 4.0 scenarios. This framework has been already implemented and supports different smart manufacturing scenarios, already running in many SME. Three practical study case scenarios (already deployed into SMEs) are presented and discussed.
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Chen, Cheng Giuseppe, Alessandro Nicola Nardi, Andrea Amadei, and Marco D’Abramo. "Theoretical Modeling of Redox Potentials of Biomolecules." Molecules 27, no. 3 (February 5, 2022): 1077. http://dx.doi.org/10.3390/molecules27031077.
Full textAbstract:
The estimation of the redox potentials of biologically relevant systems by means of theoretical-computational approaches still represents a challenge. In fact, the size of these systems typically does not allow a full quantum-mechanical treatment needed to describe electron loss/gain in such a complex environment, where the redox process takes place. Therefore, a number of different theoretical strategies have been developed so far to make the calculation of the redox free energy feasible with current computational resources. In this review, we provide a survey of such theoretical-computational approaches used in this context, highlighting their physical principles and discussing their advantages and limitations. Several examples of these approaches applied to the estimation of the redox potentials of both proteins and nucleic acids are described and critically discussed. Finally, general considerations on the most promising strategies are reported.
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Maher, Jaclyn P., Eldin Dzubur, Jimi Huh, Stephen Intille, and Genevieve F. Dunton. "Within-Day Time-Varying Associations Between Behavioral Cognitions and Physical Activity in Adults." Journal of Sport and Exercise Psychology 38, no. 4 (August 2016): 423–34. http://dx.doi.org/10.1123/jsep.2016-0058.
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This study used time-varying effect modeling to examine time-of-day differences in how behavioral cognitions predict subsequent physical activity (PA). Adults (N = 116) participated in three 4-day “bursts” of ecological momentary assessment (EMA). Participants were prompted with eight EMA questionnaires per day assessing behavioral cognitions (i.e., intentions, self-efficacy, outcome expectations) and wore an accelerometer during waking hours. Subsequent PA was operationalized as accelerometer-derived minutes of moderate- or vigorousintensity PA in the 2 hr following the EMA prompt. On weekdays, intentions positively predicted subsequent PA in the morning (9:25 a.m.–11:45 a.m.) and in the evening (8:15 p.m.–10:00 p.m.). Self-efficacy positively predicted subsequent PA on weekday evenings (7:35 p.m.–10:00 p.m.). Outcome expectations were unrelated to subsequent PA on weekdays. On weekend days, behavior cognitions and subsequent PA were unrelated regardless of time of day. This study identifies windows of opportunity and vulnerability for motivation-based PA interventions aiming to deliver intervention content within the context of adults’ daily lives.
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Kadam, Sambhaji T., Ibrahim Hassan, Mohammad Azizur Rahman, Athanasios I. Papadopoulos, and Panos Seferlis. "Review on Modeling of Vapor Compression Chillers: District Cooling Perspective." International Journal of Air-Conditioning and Refrigeration 28, no. 02 (June 2020): 2030003. http://dx.doi.org/10.1142/s2010132520300037.
Full textAbstract:
Energy consumption and its associated consequences can be reduced by implementing district cooling strategies that supply low temperature water to a wide range of end users through chillers and distribution networks. Adequate understanding, performance prediction and further optimization of vapor compression chillers used widely in district cooling plants have been a subject of intense research through model-based approaches. In this context, we perform an extensive review of different modeling techniques used for predicting steady-state or dynamic performance of vapor compression liquid chillers. The explored modeling techniques include physical and empirical models. Different physical models used for vapor compression chillers, based on physics laws, are discussed in detail. Furthermore, empirical models (based on artificial neural networks, regression analysis) are elaborated along with their advantages and drawbacks. The physical models can depict both steady- and unsteady-state performance of the vapor compression chiller; however, their accuracy and physical realism can be enhanced by considering the geometrical arrangement of the condenser and evaporator and validating them for various ecofriendly refrigerants and large system size (i.e., cooling capacity). Apparently, empirical models are easy to develop but do not provide the necessary physical realism of the process of vapor compression chiller. It is further observed that DC plants/networks have been modeled from the point of view of optimization or integration but no efforts have been made to model the chillers with multiple VCR cycles. The development of such models will facilitate to optimize the DC plant and provide improved control strategies for effective and efficient operation.
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BILAY, D. "PEDAGOGICAL PRINCIPLES OF PREPARATION OF THE FUTURE HAIRDRESSER FOR PRODUCTIVE BUSINESS COMMUNICATION." ТHE SOURCES OF PEDAGOGICAL SKILLS, no. 27 (December 13, 2021): 20–25. http://dx.doi.org/10.33989/2075-146x.2021.27.246979.
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Communicative training of future service workers is a wide field for pedagogical research in the field of vocational (vocational) education. This is especially true of the training of a hairdresser - a master whose work involves close physical and emotional contact with clients and requires him to be able to build confidence, to act in each case not only technically but also psychologically competent.
The article argues for the need to form in the context of professional training of the future specialist in the field of services of his communication skills. The principles of professional interaction of the future hairdresser are formulated, which, according to the author, are the basis of productive business communication (tolerance, integrity, balance of business and personality-oriented communication, priority of client interests, cooperation and compromise, objective self-esteem). The importance of educational modeling of communicative situations as a method of adjusting the individual communicative style of the future service worker is revealed. This ability must be formed over the years, based, in particular, on the possibilities of educational modeling. We see the development of its content and methodological support as an actual direction of our further research.
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Uddin, Mohammad Nyme, Hsi-Hsien Wei, Hung Lin Chi, and Meng Ni. "Influence of Occupant Behavior for Building Energy Conservation: A Systematic Review Study of Diverse Modeling and Simulation Approach." Buildings 11, no. 2 (January 26, 2021): 41. http://dx.doi.org/10.3390/buildings11020041.
Full textAbstract:
Energy consumption in buildings depends on several physical factors, including its physical characteristics, various building services systems/appliances used, and the outdoor environment. However, the occupants’ behavior that determines and regulates the building energy conservation also plays a critical role in the buildings’ energy performance. Compared to physical factors, there are relatively fewer studies on occupants’ behavior. This paper reports a systematic review analysis on occupant behavior and different modeling approaches using the Scopus and Science Direct databases. The comprehensive review study focuses on the current understanding of occupant behavior, existing behavior modeling approaches and their limitations, and key influential parameters on building energy conservation. Finally, the study identifies six significant research gaps for future development: occupant-centered space layout deployment; occupant behavior must be understood in the context of developing or low-income economies; there are higher numbers of quantitative occupant behavior studies than qualitative; the extensive use of survey or secondary data and the lack of real data used in model validation; behavior studies are required for diverse categories building; building information modeling (BIM) integration with existing occupant behavior modeling/simulation. These checklists of the gaps are beneficial for researchers to accomplish the future research in the built environment.
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Beck, Jordan P., Marc N. Muniz, Cassidy Crickmore, and Logan Sizemore. "Physical chemistry students’ navigation and use of models to predict and explain molecular vibration and rotation." Chemistry Education Research and Practice 21, no. 2 (2020): 597–607. http://dx.doi.org/10.1039/c9rp00285e.
Full textAbstract:
Models that are used to predict and explain phenomena related to molecular vibration and rotation are ubiquitous in physical chemistry, and are of importance in many related fields. Yet, little work has been done to characterize student use and application of these models. We describe the results of a multi-year, multi-institutional qualitative study to investigate how students work with and apply models of molecular vibration and rotation. Our findings indicate that a sizable fraction of students (1) struggle to interpret the meaning of wavefunctions, (2) do not appropriately build potential and kinetic energy terms into models, and (3) conflate portions of various model systems. The data suggests that the ordering of content in the quantum chemistry course impacts students’ ideas about the rotational and vibrational behavior of molecules. The results are analyzed through the lenses of a two theoretical frameworks: one for scientific modeling, and one for heuristics in the context of chemistry. Implications for research and teaching practice are provided.
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Knapińska, Magdalena, and Wojciech Siński. "The analysis of human capital in the context of local economic development." Ekonomia i Prawo 21, no. 1 (March 31, 2022): 121–43. http://dx.doi.org/10.12775/eip.2022.007.
Full textAbstract:
Motivation: The study of local economies has become a significant part of the theoretical and practical approach to economic research. It is important to define variables used for modeling, so the aim of this paper is to identify human capital as the determinant of local economic development. While studies are often conducted on the basis of research material describing a given unit of territorial self-government, the methodology can be applied more broadly.
Aim: The aim of the paper is to define the key elements of human capital, which can be used for modeling economic development in the local context. Local development is influenced by a number of factors, such as physical capital, human capital and natural resources, but in this paper we focus both on the analysis of the variables describing human capital both at the moment of examination and of those which will affect its quality in the future.
Results: The research findings reveal that human capital in Ustka was subject to significant changes in the period under study and its quality is determined by the economic development of this commune. What is also important is the fact that the variables describing human capital indicate the improvement in the quality of this capital in this territorial unit. Further research into local development should thus take into consideration this significant aspect of economy.