Journal articles on the topic 'Cognitive modelling technique'
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Jaya Riana, I. Komang, I. Ketut Dharsana, and Luh Putu Sri Lestari. "Cognitive Counseling with Modelling Krisna and Bisma to Improve Self Achievement." Bisma The Journal of Counseling 1, no. 1 (June 30, 2017): 11. http://dx.doi.org/10.23887/128242017.
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This study aims to Determine the Influence of Cognitive Behavioral Counseling Theory With Lord Krishna Basu Modeling Technique To Improve Self Achievement Through Lesson Study In X-1 Students In Sma Negeri 1 Sukasada. This type of research is quasi-experimental research design with "Nonequivalent Posttest Only Control Group Design". Sampling in this research is done by purposive sampling technique. The sample of this study amounted to 21 students. Data collection method used was self-question questionnaire, Analyzed by t-test analysis technique. The result of this research is get t = 3.323 with 0.003 significance so Ho rejected and Ha accepted. Then it can be concluded that there is influence of cognitive counseling behaviora basu god Krishna modeling technique through self lesson study to improve student achievement of class X-1 in SMA Negeri 1 Sukasada.
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Kravtsova, Y. V. "Metaphoric Modelling in Modern Linguistics." Scientific Journal of National Pedagogical Dragomanov University. Series 9. Current Trends in Language Development, no. 18 (March 18, 2019): 95–106. http://dx.doi.org/10.31392/npu-nc.series9.2018.18.08.
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In modern science modelling is one of the main methods of scientific research. Metaphor began to be considered as a simulated object only from the end of the last century. In Eastern Slavic linguistics two approaches to modelling of metaphorisation have emerged – semantic and cognitive. Based on the analysis of linguistic studies in the sphere of metaphorical modelling, various ways of parametrising metaphors as a semantic and cognitive model have been characterized, their common parameters have been established, disputable questions have been highlighted. The author has developed a new semantic-cognitive approach to the study of metaphor and modelling of metaphorisation. According to it, metaphor is considered as a mental and verbal construct created in the process of human metaphorogenic activity. However, the study of cognitive mechanisms, including metaphorisation, is possible only based on the research of the results of their realisation in language (speech). Through the study of the semantics of the metaphorical nominations of a language and the construction of corresponding metaphorical models, the semantic-cognitive approach allows to establish the models of national metaphorical thinking characteristic of any historical period. The main points of this approach are briefly outlined, a parametric description of the metaphor as a semantic-cognitive model is represented, a rationale for the introduced notions of metaphorical mega-model and sub-model, semantic-cognitive formant is provided. The proposed technique is intended both for corpus research of metaphors and for the study of separate facts of a metaphorical nomination.
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Cipta Ananda, Komang Adi, I. Ketut Dharsana, and Ni Ketut Suarni. "Cognitive Behavioral Counseling with Modelling Pan Balang Tamak to Improve Persuasive." Bisma The Journal of Counseling 1, no. 2 (December 30, 2017): 1. http://dx.doi.org/10.23887/128162017.
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This study aimed to determine the effect of cognitive behavioral counseling by modeling techniques Pan balang greedy to increased interest persuasive students through lesson study VIII.4 grade students of SMP Negeri 2 Singaraja. This research is the study design "quasi-experimental (Quasi Experiment)" Design nonequivalent pretest-posttest control group design. The sampling technique used is random sampling and random class as an intact group of subjects of this study were 38 people VIII.4 grade students of SMP Negeri 2 Singaraja. The process of taking data in this study using the method of observation, interviews, diaries and questionnaires Interests linkert scale pattern persuasive and descriptive analysis and statistical analysis used the formula for the t-test. Empirical findings in this study stated that there are significant cognitive-behavioral counseling by modeling techniques Pan balang greedy to increased interest persuasive students through lesson study VIII.4 grade students of SMP Negeri 2 Singaraja. This is evidenced by the t value of 3,516 sig.0,01 with 0:01 <0.05. with a significance level (p) <0.05 indicating that counseling services will be more effective if counselees in the implementation of the service is facilitated by modeling techniques Balang Greed Pan models. Based on this statement we can say that the cognitive-behavioral counseling by modeling techniques Balang Greed Pan right models applied in schools.
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Asmah, Ayu, and Romia Hari Susanti,. "PENGARUH PENGGUNAAN TEKNIK COGNITIVE MODELLING TERHADAP KEMAMPUAN BERBICARA ANAK DIDIK GUGUS PAUD 8 KECAMATAN GADANG KOTA MALANG." Jurnal Warna : Pendidikan dan Pembelajaran Anak Usia Dini 5, no. 2 (August 28, 2020): 69–76. http://dx.doi.org/10.24903/jw.v5i2.526.
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Speaking is an ability to produce articulation sounds to express or to tell ideas, thought, and feeling. In a case of children speech disorder, it is a complicated problem faced by the children and their parents. The aim of this research is to study effect of the use of Cognitive Modelling Technique to children speaking ability of Early Childhood Education Group 8 in Gadang Sub-District Malang. The research method of this study is Quasi Experimental Design by using Pre-test pattern and Post-test Group. The used of Cognitive Modelling Technique is effective to improve children speaking ability of Early Childhood Education Group 8 in Gadang Sub- District Malang. It is based on hypothesis test result which shows probability below 0.05 (0.0025 <0.05), the result means that Ho is rejected
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Rusmansyah, Rusmansyah, and Almubarak Almubarak. "Students' Cognitive Analysis using Rasch Modeling as an Assessment for Planning of Strategies in Chemistry Learning." JKPK (Jurnal Kimia dan Pendidikan Kimia) 5, no. 3 (December 31, 2020): 222. http://dx.doi.org/10.20961/jkpk.v5i3.40936.
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<p>Rasch modelling based on assessment can help teachers analyze the students' cognitive knowledge level and development. However,<strong> </strong>teachers are considered unsuccessful in teaching where the achievement of indicators in learning science, such as chemistry, is not holistically actualized. This study aimed to analyze High School students' knowledge in Banjarmasin City, especially on students' knowledge (cognitive aspect), using the Rasch modelling data analysis technique and exploring how chemical learning strategies are planned based on the symptoms of the data obtained. The data collection technique used a dichotomous format test technique (multiple choices). The research method used was descriptive with a quantitative approach to examine Rasch's various data, which was then interpreted qualitatively to describe the issues raised. The study results show that person reliability (students) based on Rasch modelling analysis is +0.79, and <em>item reliability </em>is<em> </em>+0.98, where the value indicates that the consistency of the participant response pattern is "sufficient." Then, the <em>mean person measure </em>is<em> </em>-0.07, while the mean item is 0.00. It means that the participants' "mean value" is below the "mean value" of the item that the students' ability is below the item's ability. The Rasch data's recapitulation value showed that the response patterns of various data symptoms and those data were interpreted. It showed students' knowledge of atomic structure material was still considered low based on the Rasch model criteria. This is a reference for making appropriate chemical learning strategy plans to improve their knowledge. In conclusion, Rasch modelling-based assessment is effectively used in analyzing students' (cognitive) ability on atomic structure material. These results produce a strategic plan like what in chemistry learning such as the importance of conducting further diagnoses using misconception tests, identifying students' learning styles, constructing students' knowledge through the concept of chemical representation, and developing appropriate learning media according to their needs (students).</p>
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Savchenko, Yelisaveta. "Cognitive Approach to the Notion of Enumeration." Izvestia of Smolensk State University, no. 1(57) (July 3, 2022): 115–22. http://dx.doi.org/10.35785/2072-9464-2022-57-1-115-122.
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The article focuses on the development of the cognitive approach to stylistic
devices and views the stylistic device of enumeration as a cognitive phenomenon. The
necessity of the research conducted is determined by insufficient cognitive knowledge
of the stylistic device of enumeration, as well as by the increasing interest in the ap-
plication of cognitive methods of analysis aroused nowadays. Discourse analysis of
the given examples is complemented by a brief overview of basic ideas of such prom-
inent linguists as M. Minsky, R. Wodak, G. Fauconnier, M. Turner, O.K. Iriskhanova
and others. As the principal method of analysis, we apply cognitive modelling includ-
ing the method of conceptual integration and the method of frame-structures, as well
as discourse, critical and linguaculturological analyses.
The paper aims at demonstrating the effectiveness of cognitive theories as an interpretation tool of enumeration analysis. Literary examples taken from authentic novels are subjected to careful examination with the aid of cognitive modelling technique. The study has established and cited a wide range of advantages of cognitive analysis. Thus, it allows us 1) to identify the recipient’srole in the discourse, 2) to
take into account extralinguistic factors, 3) to analyse cognitive processes and func-
tions of human brain, 4) to decode the author’s intentions.
The author draws a conclusion that the effectiveness of the application of cognitive research methods has been confirmed by the fact that the above-mentioned methods lead to the comprehensive and complete understanding of the phenomenon
of enumeration.
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Domegan, Christine, Patricia McHugh, Brian Joseph Biroscak, Carol Bryant, and Tanja Calis. "Non-linear causal modelling in social marketing for wicked problems." Journal of Social Marketing 7, no. 3 (July 10, 2017): 305–29. http://dx.doi.org/10.1108/jsocm-02-2017-0007.
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PurposeThe purpose of this paper is to show how non-linear causal modelling knowledge, already accumulated by other disciplines, is central to unravelling wicked problem scoping and definition in social marketing. Design/methodology/approachThe paper is an illustrative case study approach, highlighting three real-world exemplars of causal modelling for wicked problem definition. FindingsThe findings show how the traditional linear research methods of social marketing are not sensitive enough to the dynamics and complexities of wicked problems. A shift to non-linear causal modelling techniques and methods, using interaction as the unit of analysis, provides insight and understanding into the chains of causal dependencies underlying social marketing problems. Research limitations/implicationsThis research extends the application of systems thinking in social marketing through the illustration of three non-linear causal modelling techniques, namely, collective intelligence, fuzzy cognitive mapping and system dynamics modelling. Each technique has the capacity to visualise structural and behavioural properties of complex systems and identify the central interactions driving behaviour. Practical implicationsNon-linear causal modelling methods provide a robust platform for practical manifestations of collaborative-based strategic projects in social marketing, when used with participatory research, suitable for micro, meso, macro or systems wide interventions. Originality/valueThe paper identifies non-linear causality as central to wicked problem scoping identification, documentation and analysis in social marketing. This paper advances multi-causal knowledge in the social marketing paradigm by using fuzzy, collective and interpretative methods as a bridge between linear and non-linear causality in wicked problem research.
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Shapko, Olga. "Modelling of Teaching for Pre-School Children with Mental Retardation." Journal of Digital Art & Humanities 2, no. 1 (June 26, 2021): 29–38. http://dx.doi.org/10.33847/2712-8148.2.1_3.
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The article discusses the experience of using models in remedial work with children with mental retardation of preschool age in kindergarten conditions. Examples of outlines of lessons with this category of preschool children 6-7 years old are offered. The reactions of children to the introduction of models are illustrated. The aim of the article is to show that models are an effective technique for children with mental retardation to perceive cognitive material, because they stimulate children to independent voluntary purposeful activity. This is facilitated by the model algorithm, which includes generalized images that are familiar to children and do not cause them difficulties. We have taken into account that for children with mental retardation the operation "comparison" is one of the difficult ones, but through it the relations between objects and phenomena of the external world are learned. Comparison therefore plays an important role in cognition Comparison helps to generalise and systematise knowledge. The process of comparison is a necessary condition for generalisation. The model can help children with mental retardation to find similarities between objects, which for them is rather more difficult than finding differences.
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Baig, Muhammad Zeeshan, and Manolya Kavakli. "Connectivity Analysis Using Functional Brain Networks to Evaluate Cognitive Activity during 3D Modelling." Brain Sciences 9, no. 2 (January 24, 2019): 24. http://dx.doi.org/10.3390/brainsci9020024.
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Modelling 3D objects in CAD software requires special skills which require a novice user to undergo a series of training exercises to obtain. To minimize the training time for a novice user, the user-dependent factors must be studied. we have presented a comparative analysis of novice/expert information flow patterns. We have used Normalized Transfer Entropy (NTE) and Electroencephalogram (EEG) to investigate the differences. The experiment was divided into three cognitive states i.e., rest, drawing, and manipulation. We applied classification algorithms on NTE matrices and graph theory measures to see the effectiveness of NTE. The results revealed that the experts show approximately the same cognitive activation in drawing and manipulation states, whereas for novices the brain activation is more in manipulation state than drawing state. The hemisphere- and lobe-wise analysis showed that expert users have developed an ability to control the information flow in various brain regions. On the other hand, novice users have shown a continuous increase in information flow activity in almost all regions when doing drawing and manipulation tasks. A classification accuracy of more than 90% was achieved with a simple K-nearest neighbors (k-NN) to classify novice and expert users. The results showed that the proposed technique can be used to develop adaptive 3D modelling systems.
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Qianran, Xu, Wu Jiazhen, Yang Menglang, and Zhu Hong. "Research on the Impact of Consumers’ Purchasing Decision in E-commerce Live-steaming——Based on Cognitive and Perceptive Perspective." Journal of Finance Research 5, no. 2 (December 2, 2021): 12. http://dx.doi.org/10.26549/jfr.v5i2.6904.
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In the live-streaming area, high-tech social media has transformed our interactions and social activities through a brand new marketing approach. The research identifies the underlying drivers of purchasing decision from cognitive and perceptive perspective, and confirms the decision-making mechanism from individual view. Our study is based on S-O-R Theory, Social Presence Theory and Technology Acceptance Model, and we add Perceived Trust. A scale of 24 items which reflecting 6 construct was set up. Then a pre-test was designed to test the validity of scale and a formal experience was conducted to 311 customers. Data are analyzed applying the structural equation modelling (SEM) technique with SPSS and Amos. The results indicate that cognition and perception both positively influence Perceived Ease of Use. But only cognition can significantly affect Perceived Use, necessitating expertise of anchors and dissemination of high quality content. Besides, the affecting path of PU, PEOU and PT was verified, providing guidance for platform designing, anchor training and product selecting.
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Jha, Ashwani, Rute Teotonio, April-Louise Smith, Jamshed Bomanji, John Dickson, Beate Diehl, John S. Duncan, and Parashkev Nachev. "Metabolic lesion-deficit mapping of human cognition." Brain 143, no. 3 (March 1, 2020): 877–90. http://dx.doi.org/10.1093/brain/awaa032.
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Abstract In theory the most powerful technique for functional localization in cognitive neuroscience, lesion-deficit mapping is in practice distorted by unmodelled network disconnections and strong ‘parasitic’ dependencies between collaterally damaged ischaemic areas. High-dimensional multivariate modelling can overcome these defects, but only at the cost of commonly impracticable data scales. Here we develop lesion-deficit mapping with metabolic lesions—discrete areas of hypometabolism typically seen on interictal 18F-fluorodeoxyglucose PET imaging in patients with focal epilepsy—that inherently capture disconnection effects, and whose structural dependence patterns are sufficiently benign to allow the derivation of robust functional anatomical maps with modest data. In this cross-sectional study of 159 patients with widely distributed focal cortical impairments, we derive lesion-deficit maps of a broad range of psychological subdomains underlying affect and cognition. We demonstrate the potential clinical utility of the approach in guiding therapeutic resection for focal epilepsy or other neurosurgical indications by applying high-dimensional modelling to predict out-of-sample verbal IQ and depression from cortical metabolism alone.
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Karayev, Robert A. "Modelling Caspian sturgeon population dynamics: a new paradigm and new technology." ICES Journal of Marine Science 63, no. 6 (January 1, 2006): 980–94. http://dx.doi.org/10.1016/j.icesjms.2006.03.015.
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Abstract Currently, many problems beset sustainable management of Caspian sturgeon stocks, some outside the traditional theory of fishery management. Successfully solving such problems requires different models of population dynamics, reflecting the phenomenological properties of sturgeon stocks, the consequences of their overexploitation, and issues relating to environmental pressure on the ecosystem in which they live. Of the many analytical tools available to address the various questions, problem-orientated models are few. Their development demands a new approach, a new modelling paradigm, and new modelling tools that meet the modern ideas of ecosystem analysis and cognitive theory. This paper offers one such new paradigm and describes a knowledge-based modelling technique that may provide realization of this paradigm. A problem-orientated version of knowledge-based models is described, the applicability of such models in attempting to solve the practical issues of sturgeon fisheries management is reviewed, and an example of model implementation is given.
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Papageorgiou, Konstantinos, Gustavo Carvalho, Elpiniki I. Papageorgiou, Dionysis Bochtis, and George Stamoulis. "Decision-Making Process for Photovoltaic Solar Energy Sector Development using Fuzzy Cognitive Map Technique." Energies 13, no. 6 (March 19, 2020): 1427. http://dx.doi.org/10.3390/en13061427.
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Photovoltaic Solar Energy (PSE) sector has sparked great interest from governments over the last decade towards diminution of world’s dependency to fossil fuels, greenhouse gas emissions reduction and global warming mitigation. Photovoltaic solar energy also holds a significant role in the transition to sustainable energy systems. These systems and their optimal exploitation require an effective supply chain management system, such as design of the network, collection, storage, or transportation of this energy resource, without disregarding a country’s certain socio-economic and political conditions. In Brazil, the adoption of photovoltaic solar energy has been motivated not only by the energy matrix diversification but also from the shortages, problems, and barriers that the Brazilian energy sector has faced, lately. However, PSE development is affected by various factors with high uncertainty, such as political, social, economic, and environmental, that include critical operational sustainability issues. Thus, an elaborate modelling of energy management and a well-structured decision support process are needed to enhance the performance efficiency of Brazilian PSE supply chain management. This study focuses on the investigation of certain factors and their influence on the development of the Brazilian PSE with the help of Fuzzy Cognitive Maps. Fuzzy Cognitive Map is an established methodology for scenario analysis and management in diverse domains, inheriting the advancements of fuzzy logic and neural networks. In this context, a semi-quantitative model was designed with the help of various stakeholders from the specific energy domain and three plausible scenarios were conducted in order to support a decision-making process on PSE sector development and the country’s economic potential. The outcome of this analysis reveals that the development of the PSE sector in Brazil is mainly affected by economic and political factors.
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Quyen, Nguyen Xuan. "Quadrature MC-DCSK Scheme for Chaos-Based Cognitive Radio." International Journal of Bifurcation and Chaos 29, no. 13 (December 10, 2019): 1950177. http://dx.doi.org/10.1142/s0218127419501773.
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In this study, we investigate an enhanced architecture of multicarrier differential chaos-shift keying (MC-DCSK) scheme using quadrature modulation (QM), namely QMC-DCSK. The use of quadrature modulation aims at doubling the data rate over a defined bandwidth and hence improve bandwidth efficiency of the system. In the proposed scheme, the chaotic spreading sequence is transmitted on a predefined frequency while each of the remaining frequencies is phase-shifted at a [Formula: see text] angle in order to produce two quadrature subcarriers located at the same frequency. These subcarriers are modulated by the product of the chaotic spreading sequence and the corresponding bit substreams in parallel. Noncoherent demodulation is carried out in the receiver in order to recover the original data based on the sign of correlation values. Architecture and operation of the conventional and proposed schemes are described. The BER performance over a wireless channel is theoretically derived and then numerically verified. The bit rate, energy and bandwidth efficiencies are evaluated in comparison with those of MC-DCSK. In particular, the application of the proposed scheme to cognitive radio (CR) in the scenario of using multicarrier modulation and chaotic spread-spectrum is discussed and evaluated. The obtained results prove that QMC-DCSK is a fit technique for CR communications.
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Deldoost, Mostafa H., Parviz Mohammadzadeh, Akram Akbari, and Mohammad Taghi Saeedi. "On the relationship between cognitive ability and field of study." Global Journal of Psychology Research: New Trends and Issues 9, no. 1 (March 31, 2019): 1–7. http://dx.doi.org/10.18844/gjpr.v9i1.3928.
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The present study was conducted to investigate the existence of any possible relationship between the cognitive reflection test (CRT), numeracy and academic majors. The statistical population of this study consisted of 117 freshmen studying under the faculties selected from the University of Tabriz. The generalised structural equation modelling technique was employed for data analysis. The research results indicated that CRT and numeracy had positive and significant effects on high school and university program selection. According to the research model and the higher CRT scores of engineering and medicine (two popular majors) than that of other majors, it appears that individuals with higher CRT and numeracy scores are more inclined to get accepted into these programs. Moreover, the relationship between CRT and numeracy was positive and significant, where CRT acted as the cause and numeracy as the effect. However, the reverse need not necessarily be true.
Keywords: Cognitive reflection, numeracy skill, academic majors, relationship.
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Ferraz, Paula, Carla Susana Marques, Gina Santos, Ariana Moreno Cunha, and Sérgio Vaz. "The Influence of Cognitive Styles as Promoters of Entrepreneurial Orientation and Intrapreneurship as Drivers of Innovation: The Case of Nurses in Health Services in Portugal in Times of COVID-19." Administrative Sciences 11, no. 4 (September 28, 2021): 107. http://dx.doi.org/10.3390/admsci11040107.
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The main objective of this study is to assess how cognitive styles promote individual entrepreneurial orientation (IOE) and intrapreneurship and how they drive innovation among nurses in the healthcare services in Portugal. A total of 667 nurses participated, by completing an online questionnaire in the midst of the COVID-19 pandemic, working in different health units in Portugal. PLS-SEM structural equation modelling was used as a data analysis technique. The results show that cognitive styles have a positive influence on nurses’ IOE; that cognitive styles have a positive influence on intrapreneurship, which is mediated by the IO; that the IOE impacts nurses’ intrapreneurship and innovation, which is mediated by intrapreneurship; and that intrapreneurship impacts nurses’ innovation. The originality of this study lies in the absence of studies showing relationships between the dimensions that we propose to analyze during the pandemic of COVID-19.
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Bany Salameh, Haythem, Reem Tashtoush, Haitham Al-Obiedollah, Ahmad Alajlouni, and Yaser Jararweh. "Power allocation technique with soft performance guarantees in hybrid OFDMA–NOMA cognitive radio systems: Modeling and simulation." Simulation Modelling Practice and Theory 112 (November 2021): 102370. http://dx.doi.org/10.1016/j.simpat.2021.102370.
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Rehman, Umair, Shi Cao, and Carolyn MacGregor. "Using an Integrated Cognitive Architecture to Model the Effect of Environmental Complexity on Drivers’ Situation Awareness." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 812–16. http://dx.doi.org/10.1177/1071181319631313.
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The goal of this research is to computationally model and simulate drivers’ situation awareness (SA). In order to achieve this, we have developed a computational cognitive model in a cognitive architecture that can be connected to interact with a driving simulator, as means to infer quantitative predictions of drivers’ SA. We demonstrate the theory of modelling and predicting SA through the lens of human cognition utilizing the QN-ACTR (Queueing Network-Adaptive Control of Thought-Rational) framework as a foundation. We integrate a dynamic visual sampling model (SEEV) to create QN-ACTR-SA in order to allow the model to simulate realistic attention allocation patterns of human drivers. A driver model is also incorporated within QN-ACTR-SA architecture that can simulate human driving behavior by interacting with a driving simulator with the help of virtual modalities such as motor, visual and memory functions. A preliminary validation study is conducted to determine whether SA results of the model correspond to empirical data. The model is probed with SA queries similar to how a Situation Awareness Global Assessment Technique (SAGAT) is conducted on human participants. A comparative assessment demonstrates the model’s ability to simulate drivers’ SA in both easy (with fewer traffic vehicles and signboards) and complex (with more traffic vehicles and signboards) driving conditions.
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Araeva, Lyudmila, and Stanislav Li. "Linguistic World View of the Indigenous Peoples of Siberia: Cognitive Modelling (Exemplified by Frame “Mushrooms”)." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 2. Jazykoznanije, no. 4 (December 2020): 76–85. http://dx.doi.org/10.15688/jvolsu2.2020.4.7.
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The scientific novelty of the study is determined by the fact that the propositional analysis of frames on the material of the languages of the indigenous peoples of Siberia in a comparative aspect is carried out. The frame "mushrooms" is studied in the article on the material of the languages of the indigenous peoples of Siberia (Altai, Buryat, Khakass, Shor) in comparison with the Russian language. The research is based on the frame modelling technique, which implies the analysis of underlying structures of knowledge, i.e. propositional structures. Within the framework of propositional structures, a unique way of world conceptualization by a specific nation is displayed in particular linguistic forms, in realization of proposition the influence of ethnic and cultural view of natural world is shown. The propositional analysis undertaken by the authors has enabled them to state that the frame "mushrooms" in the languages under consideration is characterized by a basic set of propositions (i.e. a mushroom is nominated according to its colour, vegetation place and time, the resemblance of another object based on a particular feature, and according to the type and result of action over it), indicates a tendency to categorize objects of natural origin based on a common family attribute. The cases of word-building and propositional synonymy relations realization have been revealed and described. The conclusion states that there are distinctions in a set of propositions, which reveal the unique approach to understanding the world by a particular nation. The obtained data can be applied to teaching the languages of the indigenous peoples of Siberia.
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Huang, Hao, Sung-Kwun Oh, Chuan-Kun Wu, and Witold Pedrycz. "Fuzzy clustering-based neural networks modelling reinforced with the aid of support vectors-based clustering and regularization technique." Neurocomputing 482 (April 2022): 139–53. http://dx.doi.org/10.1016/j.neucom.2021.11.029.
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Vlasov, A. I., L. V. Zhuravleva, and V. V. Kazakov. "Methods for Formalizing Cognitive Graphics and Visual Models using XML Schemas." Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, no. 1 (134) (March 2021): 51–77. http://dx.doi.org/10.18698/0236-3933-2021-1-51-77.
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The paper analyses methods of formalising cognitive graphics and visual models using promising data storage formats. We describe the primary visual design techniques and note that they appear to be rather disconnected. We show that ensuring the coupling of data and knowledge in visual models featuring various levels of detail is the main problem in integrated usage of visual modelling tools. We analyse approaches to solving the semantic discontinuity problem, that is, provided we meet the condition under which the properties of objects, systems and processes under consideration are only input once, it is necessary to ensure that data from models corresponding to different levels of abstraction (expertise) is interconnected. One should assume that the main drawback of existing approaches to visualising complex systems is that these approaches are fragmented and isolated, which means that they will only be effective locally. The paper proposes several approaches to formalising visual models employing XML schemas, which ensures that development processes concerning visual models of various levels of abstraction are synchronised and interconnected. We use a BPMN (Business, Process, Model and Notation) visual model as an example that shows the principles of representing visual model elements by means of XML schemas. The paper provides a detailed analysis of the principles behind layer interaction in the BPMN model through flexible XML description. We show that the BPMN data structure boasts its own XML schema containing all the parameters of a class or an element. The paper presents several examples and a technique of applying an XML schema to a BPMN model, including a further generalisation aimed at formally representing the process models of complex systems
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Robson, Cathy, Neville Blampied, and Lawrence Walker. "Effects of Feedforward Video Self-Modelling on Reading Fluency and Comprehension." Behaviour Change 32, no. 1 (March 4, 2015): 46–58. http://dx.doi.org/10.1017/bec.2014.29.
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Being able to read at a fluent rate confers many advantages on an individual in both educational and wider social contexts throughout life. To be a fluent reader means that the individual can sustain high accuracy while reading at a rate appropriate to the material and the setting, and implies the development of automaticity in the cognitive processes involved in reading. Fluency has not, however, been the focus of much research. In this study, an observational learning technique — feedforward video self-modelling (FFVSM) — was used to improve children's reading fluency. Eleven primary (elementary) school children aged between 72 and 108 months, four girls and seven boys, viewed edited video footage of themselves seemingly reading a difficult text at a fluent rate six times over a 2-week period. Reading performance (accuracy, comprehension and rate) was measured at pre- and post-test using the Neale Analysis of Reading Ability, and fluency and comprehension scores were measured across the intervention period using the Science Research Associates Reading Laboratory (SRA) graded reading texts. The results showed that the majority of the children improved their reading fluency, comprehension and accuracy as well as reader self-perception (a proxy measure of self-efficacy). These positive results suggest that FFVSM could be a rapid, cost-effective intervention to be used within educational settings to promote fluent reading.
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Riaz, Faisal, and Muaz A. Niazi. "Enhanced emotion enabled cognitive agent-based rear-end collision avoidance controller for autonomous vehicles." SIMULATION 94, no. 11 (November 24, 2017): 957–77. http://dx.doi.org/10.1177/0037549717742203.
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Amongst collisions, rear-end collisions are the deadliest. Several rear-end collision avoidance solutions have been proposed recently in the literature. A key problem with existing solutions is their dependence on precise mathematical models. However, real world driving is influenced by a number of nonlinear factors. These include road surface conditions, driver reaction time, pedestrian flow, and vehicle dynamics. These factors involve so many different variations that precise mathematical solutions are hard to obtain, if not impossible. This problem with precise control-based rear-end collision avoidance schemes has also previously been addressed using fuzzy logic, but the excessive number of fuzzy rules straightforwardly prejudices their efficiency. Furthermore, such fuzzy logic-based controllers have been proposed without the use of an appropriate modeling technique. One such modeling technique is agent-based modeling. This technique is suitable because it allows for mimicking the functions of an artificial human driver executing fuzzy rules. Keeping in view these limitations, we propose an enhanced emotion enabled cognitive agent (EEEC_Agent)-based controller. The proposed EEEC_Agent helps autonomous vehicles (AVs) avoid rear-end collisions with fewer rules. One key innovation in its design is to use the human emotion of fear. The resultant agent is very efficient and also uses the Ortony–Clore–Collins (OCC) model. The fear generation mechanism of EEEC_Agent is verified through NetLogo simulation. Furthermore, practical validation of EEEC_Agent functions is performed by using a specially built prototype AV platform. Finally, a qualitative comparison with existing state-of-the-art research works reflects that the proposed model outperforms recent research proposals.
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Rezaei, Sajad, Muslim Amin, Minoo Moghaddam, and Norshidah Mohamed. "3G post adoption users experience with telecommunications services." Nankai Business Review International 7, no. 3 (August 1, 2016): 361–94. http://dx.doi.org/10.1108/nbri-01-2016-0007.
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Purpose The purpose of this study is to examine the impact of service quality, perceived usefulness and users’ cognitive satisfaction to determine the third-generation (3G) mobile phone users’ behavioural retention in using 3G telecommunications services. Design/methodology/approach A total of 243 valid questionnaires were collected from 3G users in the Klang Valley, Malaysia. The combination of partial least squares (PLS) path modelling approach and structural equation modelling (SEM; PLS-SEM) technique was used to analyze the measurement and structural model. Findings Our empirical assessment supports the proposed research hypotheses and further suggests that service quality is a second-order reflective construct comprising navigation and visual design, management and customer service and system reliability and connection quality. Originality/value Prior studies have examined the impact of service quality, perceived usefulness, overall users’ satisfaction and behavioural intention on an information system in general. This study is among the few studies that have attempted to gain insights into 3G users’ post-adoption experience with telecommunications services.
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Colangelo, G., and A. Guariglia. "A Combined Methodology for Landslide Risk Mitigation in Basilicata Region by Using LIDAR Technique and Rockfall Simulation." International Journal of Geophysics 2011 (2011): 1–5. http://dx.doi.org/10.1155/2011/392676.
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Rockfalls represent a significant geohazards along the SS18 road of Basilicata Region, Italy. The management of these rockfall hazards and the mitigation of the risk require innovative approaches and technologies. This paper discusses a hazard assessment strategy and risk mitigation for rockfalls in a section of SS118, along the coast of Maratea, using LIDAR technique and spatial modelling. Historical rockfall records were used to calibrate the physical characteristics of the rockfall processes. The results of the simulations were used to define the intervention actions and engineering strategy for the mitigation of the phenomena. Within two months, 260 linear meters of high-energy rockfall barriers for impact energies up to 3000 kJ were installed. After that, according to road authority, the SS18 road was opened in a safe condition. The results represent a valid cognitive support to choose the most appropriate technical solution for topography strengthening and an example of good practice for the cooperation between innovative technologies and field emergency management.
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Makulin, Artem V. "Social “Coordinate Axes” and Coordinate Thinking in Humanities Research." Vestnik of Northern (Arctic) Federal University. Series Humanitarian and Social Sciences, no. 3 (June 10, 2022): 126–36. http://dx.doi.org/10.37482/2687-1505-v188.
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This article describes the methods of graphic modelling of social phenomena and the general ideological foundation of visual-spatial thinking on the basis of coordinate and matrix analysis. The paper presents the cases of applying the coordinate axes method in social and political philosophy, which determine the variable vectors of understanding the social in general and its individual elements in particular. Specifically, the experience of synthesizing social matrices and coordinate axes is considered not only as a convenient way to visualize some of the points of socio-philosophical analysis, but also as a methodology for mental experimentation aimed at expanding the range of views on the chosen issue. coordinate modelling is analysed by the author as an important methodological technique in the study of social phenomena, overcoming the abyss of interdisciplinarity. This makes it possible to draw conclusions by analogy by transferring cognitive methodological structures that are neutral in terms of content from one field of knowledge to another, thereby providing fresh perspectives on the existing patterns of thinking and on the analysis of social phenomena. This paper does not claim to present a holistic study of the problems of the formalized representation of socio-philosophical concepts using the graphic language of axes and matrices, but simply points out possible ways of heuristic mediation of complex theoretical constructs by elements of graphic modelling. The article concludes by underlying the importance of using graphic techniques while working with information, concepts and theories for heuristic interpretation and epistemological restructuring of socio-philosophical problems.
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Giannakis, Nikos, Maria Skondra, Suzanna Aligianni, Eliza Georgiou, Savvina Prapiadou, Iliana Lentzari, Antonios Politis, Nikos Laskaris, and Panagiotis Alexopoulos. "200 - Neuropsychiatric symptoms influence performance of activities of daily living in symptomatic Alzheimer’s Disease." International Psychogeriatrics 33, S1 (October 2021): 5–6. http://dx.doi.org/10.1017/s1041610221001344.
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Background:The triad of symptom groups of Alzheimer’s disease (AD) encompasses cognitive impairment (e.g. impaired memory or orientation), neuropsychiatric symptoms like apathy, depressive mood, delusions, hallucinations or anxiety, and functional impairment exclusively in complex activities of daily living (cADL, e.g. preparing meals, managing finances) in minor neurocognitive disorder due to AD and both in complex and basic ADL (bADL, e.g. dressing, toileting) in major neurocognitive disorder due to AD. These functional impairments are widely thought to be exclusively attributable to the cognitive deficits of the disease. Of note, mounting evidence indicates that neuropsychiatric symptoms are very common in AD and pose a heavy burden to both patients and their caregivers.Research objective:To unravel potential associations between neuropsychiatric symptoms and cADL and bADL in individuals with neurocognitive disorder due to AD by means of machine learning (ML).Methods:The study included 189 cognitively intact older individuals (CI) and 130 with either minor or major neurocognitive disorder due to AD. Neuropsychiatric symptoms were captured with the Neuropsychiatric Inventory (NPI), covering delusions, hallucinations, aggression, depression, anxiety, apathy, elation, disinhibition, irritability, motor disturbance, nighttime behavioural disturbances and appetite disturbances; cognitive function was assessed with the Cognitive Telephone Screening Instrument (COGTEL); The Bristol ADL scale, an informant-rated measure, was employed for tapping performance of ADL. A variety of ML-models was constructed and trained/tested using a 5-fold cross validation, with SMOTE employed as a remedy for class imbalances. In all cases the features had been selected beforehand based on LASSO technique. The dependent variable was either cADL or bADL (after their discretization based on kMeans quantization). Additionally, the modelling of the diagnosis was also attempted within our ML framework.Results:Gradient Boosting models performed superiorly. cADL and bADL levels are predicted based on both deficits in cognitive domains and NPI variables with an accuracy of 82.3% and 84.8% respectively.In addition, diagnosis can be predicted, with an accuracy of 83.5%, based on a model in which NPI and Bristol ADL variables were significant predictors.Conclusions:cADL- and bADL performance in patients with AD is influenced by both cognitive deficits and neuropsychiatric symptoms.
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Kan, Fock-Kui, and Abdul-Ghani Khalid. "Public procurement in Malaysian local authorities: Antecedents of procedural rationality in decision making." International Journal of Construction Supply Chain Management 11, no. 2 (December 31, 2021): 121–43. http://dx.doi.org/10.14424/ijcscm110221-121-143.
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The Malaysian public sector is oversaturated with comprehensive procurement procedures. These measures aim to deter unwarranted behaviours from public officers. Nevertheless, there have been recurring irregularities over the past decade in Malaysian local authorities, including work delays, non-compliance with regulations, wasteful purchasing, substandard workmanship etc. This study aimed to investigate factors undermining rationality in public procurement decision making from the cognitive perspective. The cognitive and behavioural science literature was reviewed systematically, focusing on procedural rationality to develop a predictive model of procurement irregularities. This research adopted a quantitative approach. A total of 289 datasets were collected from the procurement officers of Malaysian local authorities and analysed using the Partial Least Square Structural Equation Modelling technique. The empirical findings showed that work experience, prior knowledge, and accountability correlate directly with procedural rationality in procurement decision-making, which would impact the procurement outcome. The research offered insights into the decision-making behaviour of procurement officers from the cognitive psychology perspective. From the managerial standpoint, public procurement procedures should incorporate the elements of accountability, experience, and prior knowledge as part of the quality assurance and control measures.
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Singh, Nripendra, and Olivia M. Keltz. "Tridimensional Approach to Assess Brand Loyalty for Cafes." Events and Tourism Review 3, no. 1 (July 1, 2020): 13–25. http://dx.doi.org/10.18060/23236.
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The purpose of this study was to identify the factors that influence brand loyalty among youth for local cafes in a small town. A descriptive research design with a survey method was used to collect data using the online Qualtrics platform. Three hundred and one (301) usable responses using a stratified sampling technique were collected on a 5-point Likert scale as recommended for analysis. Tri-dimensional approach was used to assess behavioral, attitudinal, and cognitive loyalty. Structural Equation Modelling (SEM) using SPSS AMOS was utilized to test the model fit and assess the validity and reliability of the results. The study is unique as it focuses on brand loyalty towards local cafes as compared to national brands such as Starbucks.
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Divjak, Dagmar, and Antti Arppe. "Extracting prototypes from exemplars What can corpus data tell us about concept representation?" Cognitive Linguistics 24, no. 2 (May 2, 2013): 221–74. http://dx.doi.org/10.1515/cog-2013-0008.
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AbstractOver the past four decades, two distinct alternatives have emerged to rule-based models of how linguistic categories are stored and represented as cognitive structures, namely the prototype and exemplar theories. Although these models were initially thought to be mutually exclusive, shifts from one mechanism to the other have been observed in category learning experiments, bringing the models closer together. In this paper we implement a technique akin to varying abstraction modelling, that assumes intermediate abstraction processes to underlie category representations and categorization decisions; we do so using familiar statistical techniques such as regression and clustering that track frequency distributions in input. With this model we simulate, on the basis of actual usage of Russian try verbs and Finnish think verbs as observed in corpora, how prototypes for near-synonymous verbs could be formed from concrete exemplars at different levels of abstraction.In so doing, we take a closer look at the cognitive linguistic flirtation with multiple categorization theories, suggesting three improvements anchored in the fact that cognitive linguistics is a usage-based theory of language. Firstly, we show that language provides support for considering single prototype and full exemplar models as opposite ends along a continuum of abstraction. Secondly, we present a methodology that simulates how prototypes can be obtained from exemplars at more than one level of abstraction in a systematic and verifiable way. And thirdly, we illustrate our claims on the basis of work on verbs, denoting intangible events that are neither stable in nor independent of time and express relational concepts; this implies that verbs are more susceptible to their meanings being influenced by the concepts they relate.
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Shantha, Kalugala. "Individual Investors’ Learning Behavior and Its Impact on Their Herd Bias: An Integrated Analysis in the Context of Stock Trading." Sustainability 11, no. 5 (March 8, 2019): 1448. http://dx.doi.org/10.3390/su11051448.
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The efficient functioning of capital markets ensures that information on companies’ sustainable development endeavors is fully and instantly incorporated into stock prices, which facilitates them in raising capital requirements at a lower cost. It, however, is impaired when market participants are inclined to behavioral biases. The Adaptive Market Hypothesis predicts that such behavioral biases are evolutionary. In that sense, market participants are capable of learning their behavioral mistakes and adapting to market conditions over time. Based on this perspective, this paper aims to explore how learning occurs within individual investors to reduce their herd bias. The data was collected by distributing a web-based self-administrated questionnaire to a sample of 1000 individual investors of the Colombo Stock Exchange, who were randomly selected during a period from March to August 2018. A total of 189 responses were received, which were analyzed using the structural equation modelling technique to test the hypotheses of the theoretical model. The results show that learning takes place when investors cognitively evaluate past trading experiences, which is induced by their desire for learning, and, consequently, reduces their herd bias. However, as the model predicts, strengthening this cognitive reflection from the relationship with the investment advisor and social learning among investors through their peer-relationships appear to be absent due to uncertain market conditions prevailed during the study period and dominance of unsophisticated investors in the market. From these findings, this paper concludes that the cognitive reflection of past experiences and the nature of the trading environment determine the extent of learning within individual investors.
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Duffett, Rodney. "The YouTube Marketing Communication Effect on Cognitive, Affective and Behavioural Attitudes among Generation Z Consumers." Sustainability 12, no. 12 (June 22, 2020): 5075. http://dx.doi.org/10.3390/su12125075.
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YouTube (YT) is the largest online video digital channel with more than 2 billion users, and over a billion hours of YT videos are viewed every day, particularly among young consumers. YT has become a massive marketing communication platform, which serves as a medium to target the lucrative Generation Z cohort (first born in the late 1990s), and influence this generation’s infamously unpredictable purchase decision process. The main aim of this paper was to consider the effect of YouTube marketing communication (YMC) on the traditional and non-traditional attitudinal associations of response hierarchy models. A multi-stage sample technique was used and 3750 high school and college learners (aged 13–18 years old) were surveyed via self-administered questionnaires in South Africa. Structural equation modelling was utilised to consider the hypothesised attitudinal associations. The research determined that YMC had a positive influence on the hypothesised attitudinal associations, and young consumers who used YT for fewer years, logged on more frequently, spent shorter time periods on the platform, viewed higher numbers of commercials, aged 13–14 years old, and from the White population group exhibited the most positive attitudinal responses. Hence, organisations should review their strategies in order to develop more sustainable YMC owing to the heterogeneity evident among young African consumers.
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Kartika, Siska Ayu. "E-Learning as a Response to COVID-19 Pandemic: A preliminary study on College Students." Procedia of Social Sciences and Humanities 1 (January 30, 2021): 61–68. http://dx.doi.org/10.21070/pssh.v1i.21.
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There is a dilemma of accepting the new educational system, that we know as “e-learning” by students within educational institutions. We have to replace face-to-face education with distance education in response to the COVID-19. This form of distance education, e-learning, differs from conventional education: being suddenly, unreadily and forcefully implemented. This study examined and assessed the impact of e-learning to college students, during pandemic. An online survey was conducted amongst some college students in the Mechanical Engineering Dept, at Universitas Balikpapan using a purposive sampling technique. Data were analyzed using Partial Least Square - Structural Equation Modelling (PLS-SEM). The result of this study has confirmed the positive of direct effect variables (attitude, affect and motivation; perceived behavioral intention (ease of use technology, accessibility and cognitive engagement). This study suggests relevant parties to the education system, to improve the implementation of e-learning systems.
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Perdana, Risky Kurnia, Agus Basuki, and Intan Prawitasari. "Alternative Counselling Interventions in Improving Self-Esteem of Students' Subjective Well Being: A Literature Review." AL-ISHLAH: Jurnal Pendidikan 14, no. 4 (September 16, 2022): 5607–14. http://dx.doi.org/10.35445/alishlah.v14i4.1696.
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The implementation of educational activities involved a learning process including knowledge and skills with developing student character. However, in the learning process, there are some problems occur. The problems were usually related to the negative attitudes and traits shown by students. The negative attitudes and traits shown by students are caused by low self-esteem. The purpose of this study was to describe the alternative counselling interventions through Guidance and Counseling, Rational Emotive Behavior Therapy (REBT) to increase students' self-esteem and to show the effect of self-esteem on students' subjective well-being. This research used a qualitative approach. The data analysis technique used is qualitative data analysis, where the data comes from the study of literature assertive training, cognitive, behavioural, and modelling. The result of this study is self-esteem and subjective well-being can improve by Rational Emotive Behavior Therapy or REBT.
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Steel, Kylie A., David I. Anderson, Caroline A. Smith, Eathan Ellem, Karen P. Y. Liu, Andrew Morrison-Gurza, Tinashe Dune, and Lauren H. Fairley. "Potential Value of Customized Video Self-Modelling for Motor Skill Learning in Individuals with Cerebral Palsy: A Case-Study Approach." Perceptual and Motor Skills 128, no. 4 (April 23, 2021): 1464–84. http://dx.doi.org/10.1177/00315125211012810.
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Cerebral Palsy (CP) is a common physical disability that is managed with a variety of strategies. One non-invasive intervention for people living with CP is a type of video self-modelling (VSM) referred to as positive self-review (PSR). PSR involves watching a video of oneself performing only the best examples of a desired task; this technique has been associated with improved performance and learning for people without disabilities and for those in various clinical populations, including children with spina bifida and stroke patients. PSR may have similar benefits for people living with CP. In this study we examined the effectiveness of PSR for improving a self-selected movement task among individuals living with CP. In this case study approach, eight participants completed a pre-, post-, and second post-test measuring and recording well-being, movement self-consciousness and tendency to consciously monitor movements. Results were mixed, with some participants improving their movement time, well-being ratings and tendency toward self-consciousness and conscious monitoring of movements and others showing no changes or regressions. The effectiveness of VSM appears to depend upon the match between type of task and disability and/or the length of practice. More study is needed.
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Cichy, Radoslaw Martin, and Santani Teng. "Resolving the neural dynamics of visual and auditory scene processing in the human brain: a methodological approach." Philosophical Transactions of the Royal Society B: Biological Sciences 372, no. 1714 (February 19, 2017): 20160108. http://dx.doi.org/10.1098/rstb.2016.0108.
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In natural environments, visual and auditory stimulation elicit responses across a large set of brain regions in a fraction of a second, yielding representations of the multimodal scene and its properties. The rapid and complex neural dynamics underlying visual and auditory information processing pose major challenges to human cognitive neuroscience. Brain signals measured non-invasively are inherently noisy, the format of neural representations is unknown, and transformations between representations are complex and often nonlinear. Further, no single non-invasive brain measurement technique provides a spatio-temporally integrated view. In this opinion piece, we argue that progress can be made by a concerted effort based on three pillars of recent methodological development: (i) sensitive analysis techniques such as decoding and cross-classification, (ii) complex computational modelling using models such as deep neural networks, and (iii) integration across imaging methods (magnetoencephalography/electroencephalography, functional magnetic resonance imaging) and models, e.g. using representational similarity analysis. We showcase two recent efforts that have been undertaken in this spirit and provide novel results about visual and auditory scene analysis. Finally, we discuss the limits of this perspective and sketch a concrete roadmap for future research. This article is part of the themed issue ‘Auditory and visual scene analysis’.
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Zeng, Liyun, and Rita Yi Man Li. "Tourist Satisfaction, Willingness to Revisit and Recommend, and Mountain Kangyang Tourism Spots Sustainability: A Structural Equation Modelling Approach." Sustainability 13, no. 19 (September 24, 2021): 10620. http://dx.doi.org/10.3390/su131910620.
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The rapid development of society and economy has imposed insurmountable pressure on the urban population, and many people suffer from sub-health conditions. Kangyang tourism (KT), which combines the concepts of health preservation, ecological resources, and tourism activities, has developed rapidly in China since the concept was first introduced. Although previous studies have examined the relationship among experience, satisfaction, and intention, there is a lack of study of experience value’s impact on Mountain Kangyang Tourim Spots’ Sustainability, that is, willingness to revisit and recommend to other potential tourists. Consequently, an “experience value (functional value, contextual value, emotional value, cognitive value, economic value), satisfaction and post-trip willingness to revisit and recommend” framework is suggested to examine mountain Kangyang tourism (MKT). Data were collected from 500 tourists after visiting five well-known MKT destinations in Panzhihua city. Using the structural equation modeling (SEM) technique, the results suggest that tourist satisfaction plays an important role in experience value as well as willingness to revisit and recommend the MKT spots after their revisits. Our research offers some practical suggestions for MKT destination operators when they design and provide MKT destinations. The results would be useful for governments and non-profit organizations which attempt to promote MKT.
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Elahifasaee, Farzaneh, Fan Li, and Ming Yang. "A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis." Computational and Mathematical Methods in Medicine 2019 (December 30, 2019): 1–14. http://dx.doi.org/10.1155/2019/1437123.
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Magnetic resonance (MR) imaging is a widely used imaging modality for detection of brain anatomical variations caused by brain diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). AD considered as an irreversible neurodegenerative disorder with progressive memory impairment moreover cognitive functions, while MCI would be considered as a transitional phase amongst age-related cognitive weakening. Numerous machine learning approaches have been examined, aiming at AD computer-aided diagnosis through employing MR image analysis. Conversely, MR brain image changes could be caused by different effects such as aging and dementia. It is still a challenging difficulty to extract the relevant imaging features and classify the subjects of different groups. This paper would propose an automatic classification technique based on feature decomposition and kernel discriminant analysis (KDA) for classifications of progressive MCI (pMCI) vs. normal control (NC), AD vs. NC, and pMCI vs. stable MCI (sMCI). Feature decomposition would be based on dictionary learning, which is used for separation of class-specific components from the non-class-specific components in the features, while KDA would be applied for mapping original nonlinearly separable feature space to the separable features that are linear. The proposed technique would be evaluated by employing T1-weighted MR brain images from 830 subjects comprising 198 AD patients, 167 pMCI, 236 sMCI, and 229 NC from the Alzheimer’s disease neuroimaging initiative (ADNI) dataset. Experimental results demonstrate that classification accuracy (ACC) of 90.41%, 84.29%, and 65.94% can be achieved for classification of AD vs. NC, pMCI vs. NC, and pMCI vs. sMCI, respectively, indicating the promising performance of the proposed method.
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Monk, Ruth, and Bronwen Connor. "Cell Reprogramming to Model Huntington’s Disease: A Comprehensive Review." Cells 10, no. 7 (June 22, 2021): 1565. http://dx.doi.org/10.3390/cells10071565.
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Huntington’s disease (HD) is a neurodegenerative disorder characterized by the progressive decline of motor, cognitive, and psychiatric functions. HD results from an autosomal dominant mutation that causes a trinucleotide CAG repeat expansion and the production of mutant Huntingtin protein (mHTT). This results in the initial selective and progressive loss of medium spiny neurons (MSNs) in the striatum before progressing to involve the whole brain. There are currently no effective treatments to prevent or delay the progression of HD as knowledge into the mechanisms driving the selective degeneration of MSNs has been hindered by a lack of access to live neurons from individuals with HD. The invention of cell reprogramming provides a revolutionary technique for the study, and potential treatment, of neurological conditions. Cell reprogramming technologies allow for the generation of live disease-affected neurons from patients with neurological conditions, becoming a primary technique for modelling these conditions in vitro. The ability to generate HD-affected neurons has widespread applications for investigating the pathogenesis of HD, the identification of new therapeutic targets, and for high-throughput drug screening. Cell reprogramming also offers a potential autologous source of cells for HD cell replacement therapy. This review provides a comprehensive analysis of the use of cell reprogramming to model HD and a discussion on recent advancements in cell reprogramming technologies that will benefit the HD field.
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Grębosz-Krawczyk, Magdalena, Agnieszka Zakrzewska-Bielawska, and Sylwia Flaszewska. "From Words to Deeds: The Impact of Pro-Environmental Self-Identity on Green Energy Purchase Intention." Energies 14, no. 18 (September 11, 2021): 5732. http://dx.doi.org/10.3390/en14185732.
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This study examines the mechanism by which pro-environmental self-identity (PESI) affects green energy purchase intention (GEPI) through different dimensions of consumption values. The concept of pro-environmental self-identity is rarely discussed in the context of green energy purchase intention. Additionally, the amount of research concerning consumers’ attitudes and behaviours towards photovoltaic panels is limited. We fill this cognitive gap by testing a relation between pro-environmental self-identity and green energy purchase intention. The data collection was carried out based on an indirect method of gathering information—using an online survey. Research was conducted among 250 Polish customers. The partial least squares structural equation modelling technique was applied. The research results show that the relations between PESI and GEPI is mediated totally by social and partially by emotional values. The mediating impact of functional values was not confirmed. The results of this study illustrate the importance of intangible—social and emotional—values and its impact on the consumer behaviour toward green energy. This study can help marketers more efficiently promote the installation of photovoltaic panels in European countries.
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Smaliukiene, Rasa, and Svajone Bekesiene. "Towards Sustainable Human Resources: How Generational Differences Impact Subjective Wellbeing in the Military?" Sustainability 12, no. 23 (November 30, 2020): 10016. http://dx.doi.org/10.3390/su122310016.
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The article analyzes the generational (age cohorts) effect on subjective wellbeing at work. The main aim is to reveal generational differences that lead to subjective wellbeing at work and possible discrepancies between the generations. The article contributes to the literature by creating and testing a theoretical model of subjective wellbeing at work as a composition of several dimensions that vary among generations, including physical experience, cognitive job performance, and appraisal, as well as social relationships and socio-emotional enablement at work. Using the military as an organization where daily routine creates similar conditions for different generations, we surveyed 890 army professionals representing three different generations: Gen Y, Gen X, and Gen Z. A structural equation modelling (SEM) technique is used to test the research model. The results support the hypothesis that generation has a strong moderating impact on the components of subjective wellbeing at work. Social relationship, as a socio-emotional experience, is the most important component of wellbeing at work for Gen Z, while socio-emotional enablement plays a central role in subjective wellbeing at work for Gen X and Gen Y.
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Thongsri, Nattaporn, Liang Shen, Yukun Bao, and Ibraheem Mubarak Alharbi. "Integrating UTAUT and UGT to explain behavioural intention to use M-learning." Journal of Systems and Information Technology 20, no. 3 (August 13, 2018): 278–97. http://dx.doi.org/10.1108/jsit-11-2017-0107.
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Purpose The purpose of this study was to investigate factors that influence the intention to use mobile learning (m-learning) by learners in developing countries such as Thailand. This study integrated two theories; namely, the unified theory of acceptance and use of technology (UTAUT), which focuses on technology, and uses and gratifications theory (UGT), which involves studying learners’ motivation. Design/methodology/approach Applying a quantitative research method, this study conducted a survey of 359 undergraduates. The partial least squares methods and a statistical analysis technique based on the structural equation modelling (SEM), were used to analyse the data. Findings The results revealed that the performance expectancy, cognitive need, affective need and social need had significant effect on intention to use m-learning. Furthermore, this study found a significant effect of the cognitive need on the performance expectancy and social need on effort expectancy. Practical implications This research model has provided guidelines for the effective development of educational applications for use on mobile devices. The findings can be applied as guidelines for public organizations to develop educational strategies to further encourage the development of online learning. Originality/value This research closed a gap of understanding from previous studies by integrating UTAUT and UGT. The method derived from the theoretically integrated model could be applied to study the intentions for the implementation the mobile learning application from the context of developing countries such as Thailand.
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Sunawan, Sunawan, Sugiyo Sugiyo, and Yuli Kurniawati Sugiyo Pranoto. "ACHIEVEMENT GOALS AND EXTRANEOUS LOAD PREDICT GERMANE LOAD: THE MEDIATING EFFECTS OF ACHIEVEMENT EMOTIONS." Malaysian Journal of Learning and Instruction 18, No.2 (July 31, 2021): 215–34. http://dx.doi.org/10.32890/mjli2021.18.2.8.
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Purpose – Achievement emotions have been shown to mediate the association between achievement goals and learning performance, but no research to date has tested whether there is a similar process in predicting germane cognitive load. Based on the control-value theory of academic emotions (Pekrun, 2006), the present study tested a model to determine whether goal orientation and extraneous load were mediated by achievement emotions in predicting germane load. Methodology – This survey study involved 487 voluntary university students (N = 487; 61% women; ages 17-23) who were enrolled in a statistics class and these study participants were selected using the cluster random sampling technique. They responded to three adapted scales which were translated into Bahasa Indonesia. The scales were, namely the Achievement Goal Questionnaire (AGQ), Achievement Emotions Questionnaire (AEQ), and Cognitive Load Questionnaire. Data were collected 20 minutes before the statistics class ended and the data was then analyzed using bootstraped bias corrected (CI = 95%; N=5000) in Structural Equation Modelling (SEM). Findings – The results of the structural equation modeling indicated that a mastery-approach goal was associated with higher germane load through higher enjoyment and lower anxiety, and a performance-avoidant goal was associated with lower germane load through higher anxiety. Moreover, extraneous load was negatively associated with germane load through enjoyment, but was positively associated with germane load through anxiety. Significance – These findings have implications in educational settings: for most students with a mastery-approach goal, and enjoyable activities are helpful, as with those that increase cognitive performance in processing learning information. The present research is the first study to show that achievement goals are linked to the capacity to process learning-relevant information, in part due to the emotions the student experiences in the learning environment.
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Bai, Siwei, Donel Martin, Tianruo Guo, Socrates Dokos, and Colleen Loo. "Computational comparison of conventional and novel electroconvulsive therapy electrode placements for the treatment of depression." European Psychiatry 60 (August 2019): 71–78. http://dx.doi.org/10.1016/j.eurpsy.2019.05.006.
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AbstractBackground:Electroconvulsive therapy (ECT) is a highly effective treatment for severe psychiatric disorders. Despite its high efficacy, the use of ECT would be greater if the risk of cognitive side effects were reduced. Over the last 20 years, developments in ECT technique, including improvements in the dosing methodology and modification of the stimulus waveform, have allowed for improved treatment methods with reduced adverse cognitive effects. There is increasing evidence that the electrode placement is important for orienting the electrical stimulus and therefore modifying treatment outcomes, with potential for further improvement of the placements currently used in ECT.Objective:We used computational modelling to perform an in-depth examination into regional differences in brain excitation by the ECT stimulus for several lesser known and novel electrode placements, in order to investigate the potential for an electrode placement that may optimise clinical outcomes.Methods:High resolution finite element human head models were generated from MRI scans of three subjects. The models were used to compare regional differences in average electric field (EF) magnitude among a total of thirteen bipolar ECT electrode placements, i.e. three conventional placements as well as ten lesser known and novel placements.Results and conclusion:In this exploratory study on a systemic comparison of thirteen ECT electrode placements, the EF magnitude at regions of interest (ROIs) was highly dependent upon the position of both electrodes, especially the ROIs close to the cortical surface. Compared to conventional right-unilateral (RUL) ECT using a temporo-parietal placement, fronto-parietal and supraorbito-parietal RUL also robustly stimulated brain regions considered important for efficacy, while sparing regions related to cognitive functions, and may be a preferrable approach to the currently used placement for RUL ECT. The simulations also found that regional average EF magnitude varied between individual subjects, due to factors such as head size, and results also depended on the size of the defined ROI.
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Anggadwita, Grisna, Nadira Ramadhanti, and Astri Ghina. "PENGARUH PERSEPSI SOSIAL DAN ORIENTASI KEWIRAUSAHAAN TERHADAP NIAT WIRAUSAHA WANITA DI BANDUNG." AdBispreneur 6, no. 3 (February 14, 2022): 269. http://dx.doi.org/10.24198/adbispreneur.v6i3.35063.
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Women entrepreneurs face specific problems, including social perceptions of their roles in entrepreneurship. Entrepreneurial intentions are influenced by an entrepreneur’s cognitive and psychological characteristics such as innovativeness, proactiveness, and risk-takings. This study aimed to analyze the effects of social perception and entrepreneurial orientation on women's entrepreneurial intentions. This study uses a quantitative method with structural equation modelling as an analytical technique and involves 345 women entrepreneurs who own micro, small, and medium enterprises (MSMEs) in Bandung. The sampling method used probability sampling with a simple random sampling technique. The results of this study indicate that social perception is positively and significantly related to entrepreneurial intention, either directly or mediated by entrepreneurial orientation, which is positively and significantly related to entrepreneurial orientation, and that entrepreneurial orientation is positively and significantly related to entrepreneurial intention. This study provides implications and recommendations that are discussed further, including social perception, which needs to be considered in generating entrepreneurial orientation for women to increase entrepreneurial intentions. Wirausaha wanita dihadapkan dengan persoalan-persoalan spesifik seperti adanya persepsi sosial mengenai peran wanita dalam berwirausaha. Niat berwirausaha di pengaruhi oleh karakteristik kognitif dan psikologis seorang wirausaha, diantaranya sikap inovatif, proaktif, dan keberanian mengambil risiko. Penelitian ini bertujuan untuk menganalisis pengaruh persepsi sosial dan orientasi kewirausahaan terhadap niat berwirausaha wanita. Studi ini menggunakan metode kuantitatif dengan structural equation modelling sebagai teknik analisis dan melibatkan 345 wirausaha wanita pemilik UMKM di Kota Bandung. Metode sampel menggunakan sampel probabilitas dengan teknik sampel acak sederhana. Hasil studi ini menunjukkan bahwa variabel persepsi sosial berhubungan positif dan signifikan terhadap niat berwirausaha baik secara langsung maupun dimediasi oleh orientasi kewirausahaan; persepsi sosial juga berhubungan positif dan signifikan terhadap orientasi kewirausahaan, begitu pula orientasi kewirausahaan berhubungan positif dan signifikan terhadap niat berwirausaha. Studi ini memberikan implikasi dan rekomendasi yang dibahas lebih lanjut dalam studi ini, diantaranya menunjukkan bahwa persepsi sosial merupakan faktor yang perlu dipertimbangkan dalam membangkitkan orientasi kewirausahaan bagi perempuan dalam meningkatkan niat berwirausaha.
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Munir, Nilam Permatasari. "PENGARUH KESADARAN METAKOGNITIF TERHADAP MOTIVASI BELAJAR DAN KAITANNYA DENGAN HASIL BELAJAR MATEMATIKA SISWA KELAS XI IPA SMA NEGERI DI KOTA PAREPARE." Al-Khwarizmi : Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam 4, no. 2 (December 17, 2016): 117. http://dx.doi.org/10.24256/akh.v4i2.308.
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The study aims to analyze the descriprition of metacognitive awareness toward learning result of mathematics directly and indirectly through learning motivation of grade XI IPA student of public senior high school in Pareparecity. The study is an ex-post facto which casuality. The populations of the study were 520 grade XI IPA students of SMAN inParepare of academic years 2013/2014 with as many as 221 samples. Technique used in selecting the samples was proporsional random sampling. The instrument used for the study were (1) scale of metacognitive awareness, (2) scale of intrapersonal intelligence, (3) scale of learning motivation, (4) scale of attitude on mathematics and (5) test of mathematics learning outcomes. Data were analyzed using descriptive statistics analysis and SEM (Structural Equation Modelling) analysis. The results of the study indicate that (1) most of grade XI IPA students at SMAN in Parepare has metacognitive awareness with high category, learning motivation is in extremely high category, the learning result is in low category, (2) metacognitive awarenees directly give positif influence toward learning result of Mathematics and indirectly gives negative influence toward cognitive learning result of Mathematics through motivation learning
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Munir, Nilam Permatasari. "Pengaruh Kesadaran Metakognitif terhadap Motivasi Belajar dan Kaitannya dengan Hasil Belajar Matematika Siswa Kelas XI SMA Negeri di Kota Pare-Pare." Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam 4, no. 2 (September 8, 2018): 117–28. http://dx.doi.org/10.24256/jpmipa.v4i2.256.
Full textAbstract:
The study aims to analyze the descriprition of metacognitive awareness toward learning result of mathematics directly and indirectly through learning motivation of grade XI IPA student of public senior high school in Pareparecity. The study is an ex-post facto which casuality. The populations of the study were 520 grade XI IPA students of SMAN inParepare of academic years 2013/2014 with as many as 221 samples. Technique used in selecting the samples was proporsional random sampling. The instrument used for the study were (1) scale of metacognitive awareness, (2) scale of intrapersonal intelligence, (3) scale of learning motivation, (4) scale of attitude on mathematics and (5) test of mathematics learning outcomes. Data were analyzed using descriptive statistics analysis and SEM (Structural Equation Modelling) analysis. The results of the study indicate that (1) most of grade XI IPA students at SMAN in Parepare has metacognitive awareness with high category, learning motivation is in extremely high category, the learning result is in low category, (2) metacognitive awarenees directly give positif influence toward learning result of Mathematics and indirectly gives negative influence toward cognitive learning result of Mathematics through motivation learning.
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Susilawati, Samsul, A. Fatah Yasin, Aniek Rahmaniah, Abdulloh Chakim, and Triyo Supriyanto. "Strategy to Internalizing Religious Moral Values in the Learning Process in Higher Education." AL-ISHLAH: Jurnal Pendidikan 14, no. 1 (April 4, 2022): 399–408. http://dx.doi.org/10.35445/alishlah.v14i1.849.
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This study aims to describe strategies for internalizing moral and religious values in the learning process in universities. This research is descriptive research with a qualitative approach. The research subjects were lecturers at the Islamic Education Department at the State Islamic University of Maulana Malik Ibrahim Malang, the University of Muhammadiyah Malang, and the Islamic University of Malang. Data were collected through interviews, observations, and documents. The triangulation technique assessed confidence data. The results showed that the strategies for internalizing moral and religious values in the learning process include: modelling, analyzing actual problems in society, developing contextual educational values, and strengthening the moral values that students have. The Internalization Strategy of Religious Moral Values in the Learning process carried out in the three PTKIS shows that moral education is conveyed in the form of cognitive moral values and is already at the stage of internalizing values by carrying out the direct practice of moral values in education. Student life and activities every day. It is hoped that from the internalization of moral education, the character of moderate Muslims who are friendly and tolerant will be built.
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Scapolan, Annachiara, Fabrizio Montanari, Sara Bonesso, Fabrizio Gerli, and Lorenzo Mizzau. "Behavioural competencies and organizational performance in Italian performing arts." Academia Revista Latinoamericana de Administración 30, no. 2 (June 5, 2017): 192–214. http://dx.doi.org/10.1108/arla-09-2015-0264.
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Purpose The purpose of this paper is to investigate the behavioural competencies of directors and managers working for cultural organizations and their relationship with organizational performance. Design/methodology/approach The study adopts an ESC competency modelling process and the technique of the Behavioural Event Interview as the primary source of data collection. In particular, the authors interviewed 14 directors and managers of six performing arts organizations operating in Emilia-Romagna, a region located in Northern Italy. Findings Findings show that directors and managers of cultural organizations are characterized by a specific set of social and emotional (e.g. persuasion and empathy), whereas cognitive competencies, such as quantitative analysis, are less frequent. Findings highlight also that a balanced portfolio of behavioural competencies emerges as importantly correlated with high organizational performance. Practical implications Findings offer relevant managerial implications for the design and implementation of a coherent set of human resource management practices, which allow cultural organizations to reach above-average performance. Originality/value This study contributes to a better understanding of the relationship between managerial competencies and the performance of cultural organizations, taking into account specific kinds of competencies – namely, behavioural competencies – which have been neglected by the previous literature.
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Nazneen, Shama, Hong Xu, Nizam Ud Din, and Rehmat Karim. "Perceived COVID-19 impacts and travel avoidance: application of protection motivation theory." Tourism Review 77, no. 2 (November 16, 2021): 471–83. http://dx.doi.org/10.1108/tr-03-2021-0165.
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Purpose The COVID-19 pandemic and the travellers’ behaviour towards travel risk is an emerging issue. Nonetheless, the travellers’ perceived COVID-19 impacts, travel risk perception, health and safety perception and travel avoidance concerning protection motivation theory is unnoticed. Following the protection motivation theory, the current study investigates the direct and indirect relationships between perceived COVID-19 impacts and travel avoidance. Moreover, the travellers’ cognitive perceptions of risk may vary with their demographic characteristics; therefore, the present study aims to test the differences in group-specific parameter estimates using a multi-group analysis. Design/methodology/approach The authors approached travellers from Tianjin, China using different communication services, including WeChat and email, through a snowball sampling technique. The study used 553 valid questionnaires for analysis. Findings The results of 553 questionnaires in structural equation modelling (SEM) with AMOS 21 indicated that travellers’ perceived Covid-19 impacts positively correlate with travel avoidance. The study model based on protection motivation theory specifies that travel risk perception and health and safety perception as a cognitive mediating process partially mediated the relationship between perceived COVID-19 impacts and travel avoidance. The findings specified that during COVID-19, travellers assessed the severity of travel risks and adopted preventive measures which influenced their travel behaviour and led to travel avoidance. The multi-group analysis results indicated no difference in perception for gender and education; however, concerning age, the significant nested p-value specifies a difference in perception. Practical implications The study offers implications for policymakers and the tourism industry to understand the travellers’ perceptions of travel during the pandemic and ensure health and safety measures to encourage travelling and reviving the tourism industry. Originality/value The application of protection motivation theory to analyse the travellers’ perceived COVID-19 impacts and travel avoidance in the presence of travel risk perception and health and safety perceptions as a cognitive mediating process is novel.