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Journal articles on the topic 'Action of multi-group'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Behm, Lina, Lena Zidén, Anna Dunér, Kristin Falk, and Synneve Dahlin-Ivanoff. "Multi-professional and multi-dimensional group education – a key to action in elderly persons." Disability and Rehabilitation 35, no. 5 (2012): 427–35. http://dx.doi.org/10.3109/09638288.2012.697249.

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He, Jing, and Wei Yang. "IMar." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, no. 3 (2022): 1–27. http://dx.doi.org/10.1145/3550311.

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Currently, WiFi-based user continuous action counting and recognition is limited to a single person. Being able to continuously analyze and record the different actions of multiple users in a device-free scene is one of the most challenging job to date. In this paper, we present a new WiFi-based multi-user action recognition system, called IMar, which can achieve decomposition of multi-user action information and retain action features as much as possible, i.e., simultaneously recognize and count the continuous and different actions of multiple people. Our main technical route is to design a D

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Fang, Liangda, and Yongmei Liu. "Multiagent Knowledge and Belief Change in the Situation Calculus." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 304–12. http://dx.doi.org/10.1609/aaai.v27i1.8698.

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Belief change is an important research topic in AI. It becomes more perplexing in multi-agent settings, since the action of an agent may be partially observable to other agents. In this paper, we present a general approach to reasoning about actions and belief change in multi-agent settings. Our approach is based on a multi-agent extension to the situation calculus, augmented by a plausibility relation over situations and another one over actions, which is used to represent agents' different perspectives on actions. When an action is performed, we update the agents' plausibility order on situa

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Gao, Z., Y. Zhang, H. Zhang, Y. B. Xue, and G. P. Xu. "Multi-dimensional human action recognition model based on image set and group sparisty." Neurocomputing 215 (November 2016): 138–49. http://dx.doi.org/10.1016/j.neucom.2016.01.113.

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Gao, Z., H. Zhang, G. P. Xu, Y. B. Xue, and A. G. Hauptmann. "Multi-view discriminative and structured dictionary learning with group sparsity for human action recognition." Signal Processing 112 (July 2015): 83–97. http://dx.doi.org/10.1016/j.sigpro.2014.08.034.

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Sutormin, N. A. "Class Actions and other Multi-Party Litigation in Portugal." Rossijskoe pravosudie 4 (March 25, 2021): 59–65. http://dx.doi.org/10.37399/issn2072-909x.2021.4.59-65.

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Article is dedicated to the history and modern state of class action litigation in Portugal, which is characterized by specific combination on private and public method of defense of group interests. Successful results of this combination are analyzed within the ambit of chosen jurisdiction. It is concluded from the features of class litigation that Portugal has specific legal nature by adoption from Roman and American sources. The content of the article is interesting for readers as an example of practical combination of both models. Multi-party actions are also researched.

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Heil, Emily, Bharathi Sivasailam, SoEun Park, et al. "Impact of a Multi-disciplinary C. difficile Action Team." Open Forum Infectious Diseases 4, suppl_1 (2017): S396—S397. http://dx.doi.org/10.1093/ofid/ofx163.989.

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Abstract Background Clostridium difficile infection (CDI) is associated with increased length of hospital stay, morbidity, mortality, and cost of hospitalization. Early intervention by experts from multiple areas of practice such as gastroenterology (GI), infectious diseases (ID) and surgery can be essential to optimize care and increase utilization of novel treatment modalities such as fecal microbiota transplant (FMT) and minimally invasive, colon-preserving surgical management. Methods A multi-disciplinary C. difficile action team (MD-CAT) was implemented at University of Maryland Medical C

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Nakamura, Yoshifumi, Yoshinobu Kuramashi, and Shinji Takeda. "Critical endline of the finite temperature phase transition for 2+1 flavor QCD away from the SU(3)-flavor symmetric point." EPJ Web of Conferences 175 (2018): 07008. http://dx.doi.org/10.1051/epjconf/201817507008.

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We investigate the critical end line of the finite temperature phase transition of QCD away from the SU(3)-flavor symmetric point at zero chemical potential. We employ the renormalization-group improved Iwasaki gauge action and non-perturbatively O(a)- improved Wilson-clover fermion action. The critical end line is determined by using the intersection point of kurtosis, employing the multi-parameter, multi-ensemble reweighting method at the temporal size NT = 6 and lattice spacing as low as a ≈0.19 fm.

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Yu, Xiaoyang, Youfang Lin, Shuo Wang, and Sheng Han. "Solving Action Semantic Conflict in Physically Heterogeneous Multi-Agent Reinforcement Learning with Generalized Action-Prediction Optimization." Applied Sciences 15, no. 5 (2025): 2580. https://doi.org/10.3390/app15052580.

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Traditional multi-agent reinforcement learning (MARL) algorithms typically implement global parameter sharing across various types of heterogeneous agents without meticulously differentiating between different action semantics. This approach results in the action semantic conflict problem, which decreases the generalization ability of policy networks across heterogeneous types of agents and decreases the cooperation among agents in intricate scenarios. Conversely, completely independent agent parameters significantly escalate computational costs and training complexity. To address these challe

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Hunter, Ruth F., Claire L. Cleland, Frank Kee, et al. "Developing System-Oriented Interventions and Policies to Reduce Car Dependency for Improved Population Health in Belfast: Study Protocol." Systems 9, no. 3 (2021): 62. http://dx.doi.org/10.3390/systems9030062.

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Reducing car dependency requires orchestrated multi-sectoral, multi-policy action in a complex landscape. Thus, development of proposed interventions to reduce car dependency should be informed by systems thinking, complexity science, and socio-technical transition theory. We aim to co-design sustainable systems-oriented intervention approaches to reduce car dependency in Belfast. The study includes seven integrated tasks—1: Map stakeholders and partnerships influencing car dependency using stakeholder network analysis; 2: A review of systematic reviews regarding interventions to reduce car de

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AlFawwaz, Bader M., Faisal Al-Saqqar, and Atallah AL-Shatnawi. "Reduction Model Checking for Multi-Agent Systems of Group Social Commitments." Computation 10, no. 6 (2022): 84. http://dx.doi.org/10.3390/computation10060084.

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Innumerable industries now use multi-agent systems (MASs) in various contexts, including healthcare, security, and commercial deployments. It is challenging to select reliable business protocols for critically important safety-related systems (e.g., in healthcare). The verification and validation of business applications is increasingly explored concerning multi-agent systems’ group social commitments. This study explains a novel extended reduction verification method to model-check business applications’ critical specification rules using action restricted computation tree logic (ARCTL). In p

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Kim, Hyun-Woo, and Yong-Suk Choi. "Fusion Attention for Action Recognition: Integrating Sparse-Dense and Global Attention for Video Action Recognition." Sensors 24, no. 21 (2024): 6842. http://dx.doi.org/10.3390/s24216842.

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Conventional approaches to video action recognition perform global attention over the entire video patches, which may be ineffective due to the temporal redundancy of video frames. Recent works on masked video modeling adopt a high-ratio tube masking and reconstruction strategy as a pre-training method to mitigate the problem of focusing on spatial features well but not on temporal features. Inspired by this pre-training method, we propose Fusion Attention for Action Recognition (FAR), which fuses the sparse-dense attention patterns specialized for temporal features with global attention durin

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Gul, Malik Ali, Muhammad Haroon Yousaf, Shah Nawaz, Zaka Ur Rehman, and HyungWon Kim. "Patient Monitoring by Abnormal Human Activity Recognition Based on CNN Architecture." Electronics 9, no. 12 (2020): 1993. http://dx.doi.org/10.3390/electronics9121993.

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Human action recognition has emerged as a challenging research domain for video understanding and analysis. Subsequently, extensive research has been conducted to achieve the improved performance for recognition of human actions. Human activity recognition has various real time applications, such as patient monitoring in which patients are being monitored among a group of normal people and then identified based on their abnormal activities. Our goal is to render a multi class abnormal action detection in individuals as well as in groups from video sequences to differentiate multiple abnormal h

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Wu, Lifang, Xianglong Lang, Ye Xiang, Qi Wang, and Meng Tian. "Multi-Perspective Representation to Part-Based Graph for Group Activity Recognition." Sensors 22, no. 15 (2022): 5521. http://dx.doi.org/10.3390/s22155521.

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Group activity recognition that infers the activity of a group of people is a challenging task and has received a great deal of interest in recent years. Different from individual action recognition, group activity recognition needs to model not only the visual cues of individuals but also the relationships between them. The existing approaches inferred relations based on the holistic features of the individual. However, parts of the human body, such as the head, hands, legs, and their relationships, are the critical cues in most group activities. In this paper, we establish the part-based gra

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Saqlain, Muhammad, Donguk Kim, Junuk Cha, Changhwa Lee, Seongyeong Lee, and Seungryul Baek. "3DMesh-GAR: 3D Human Body Mesh-Based Method for Group Activity Recognition." Sensors 22, no. 4 (2022): 1464. http://dx.doi.org/10.3390/s22041464.

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Group activity recognition is a prime research topic in video understanding and has many practical applications, such as crowd behavior monitoring, video surveillance, etc. To understand the multi-person/group action, the model should not only identify the individual person’s action in the context but also describe their collective activity. A lot of previous works adopt skeleton-based approaches with graph convolutional networks for group activity recognition. However, these approaches are subject to limitation in scalability, robustness, and interoperability. In this paper, we propose 3DMesh

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Derstroff, Cedric, Mattia Cerrato, Jannis Brugger, Jan Peters, and Stefan Kramer. "Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (2024): 11766–74. http://dx.doi.org/10.1609/aaai.v38i10.29061.

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Peer learning is a novel high-level reinforcement learning framework for agents learning in groups. While standard reinforcement learning trains an individual agent in trial-and-error fashion, all on its own, peer learning addresses a related setting in which a group of agents, i.e., peers, learns to master a task simultaneously together from scratch. Peers are allowed to communicate only about their own states and actions recommended by others: "What would you do in my situation?". Our motivation is to study the learning behavior of these agents. We formalize the teacher selection process in

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RISMADAMAYANTI, RISMADAMAYANTI. "PENERAPAN MODEL COOPERATIVE LEARNING TYPE GROUP INVESTIGATION BERBASIS MULTI MEDIA DALAM MENINGKATAN MOTIVASI BELAJAR PESERTA DIDIK PELAJARAN PENDIDIKAN PANCASILA KELAS XI TAB 1 SMK NEGERI 1 BUNYU." SOCIAL : Jurnal Inovasi Pendidikan IPS 3, no. 2 (2023): 71–81. http://dx.doi.org/10.51878/social.v3i2.2489.

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This research aims to increase the learning motivation of students in class XI TAB 1 Pancasila education lessons at SMK Negeri 1 Bunyu by implementing a multi-media based cooperative learning type group investigation model. This research is classroom action research with the application of a multi-media based cooperative learning group investigation learning model. This research was carried out in class XI TAB 1 SMK Negeri 1 Bunyu. There are 39 students in this class, all of whom are men. Data collection techniques use observation sheets, test results and documentation. Data analysis uses data

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Wang, Bin, Yu Liu, Wei Wang, Wei Xu, and Mao Jun Zhang. "Local Spatiotemporal Coding and Sparse Representation Based Human Action Recognition." Applied Mechanics and Materials 401-403 (September 2013): 1555–60. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1555.

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To handle with the limitation of bag-of-features (BoF) model which ignores spatial and temporal relationships of local features in human action recognition in video, a Local Spatiotemporal Coding (LSC) is proposed. Rather than the exiting methods only uses the feature appearance information for coding, LSC encodes feature appearance and spatiotemporal positions information simultaneously with vector quantization (VQ). It can directly models the spatiotemporal relationships of local features in space time volume (STV). In implement, the local features are projected into sub-space-time-volume (s

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Yang, Liu, Anthony Rezitis, and Yang Ren. "How Significant Are the Roles Moral Obligation and Formal Institutions Play in Participatory Irrigation Management?" Agriculture 12, no. 11 (2022): 1847. http://dx.doi.org/10.3390/agriculture12111847.

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Against the background of the agricultural tax reform and the disintegration of China’s rural collective agriculture system, participatory irrigation management (PIM) is the key to improving irrigation management performance. Based on the survey data of 712 peasant households in the Yellow River basin of China, this study employs multi-group structural equation modeling (SEM) to explore the impact of moral obligation and formal institutions on PIM. The results show that both moral obligation and formal institutions can significantly improve collective action. Collective action can markedly pro

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Dubenko, Yu V. "ANALYTICAL REVIEW OF MULTI-AGENT REINFORCEMENT LEARNING PROBLEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 192 (June 2020): 48–56. http://dx.doi.org/10.14489/vkit.2020.06.pp.048-056.

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This paper is devoted to the problem of collective artificial intelligence in solving problems by intelligent agents in external environments. The environments may be: fully or partially observable, deterministic or stochastic, static or dynamic, discrete or continuous. The paper identifies problems of collective interaction of intelligent agents when they solve a class of tasks, which need to coordinate actions of agent group, e. g. task of exploring the territory of a complex infrastructure facility. It is revealed that the problem of reinforcement training in multi-agent systems is poorly p

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Dubenko, Yu V. "ANALYTICAL REVIEW OF MULTI-AGENT REINFORCEMENT LEARNING PROBLEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 192 (June 2020): 48–56. http://dx.doi.org/10.14489/vkit.2020.06.pp.048-056.

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This paper is devoted to the problem of collective artificial intelligence in solving problems by intelligent agents in external environments. The environments may be: fully or partially observable, deterministic or stochastic, static or dynamic, discrete or continuous. The paper identifies problems of collective interaction of intelligent agents when they solve a class of tasks, which need to coordinate actions of agent group, e. g. task of exploring the territory of a complex infrastructure facility. It is revealed that the problem of reinforcement training in multi-agent systems is poorly p

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Avotina, Liga, Elina Pajuste, Marina Romanova, et al. "FTIR Analysis of Electron Irradiated Single and Multilayer Si₃N₄ Coatings." Key Engineering Materials 788 (November 2018): 96–101. http://dx.doi.org/10.4028/www.scientific.net/kem.788.96.

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Silicon nitride (Si3N4) due to its good mechanical and electrical properties is a promising material for wide range of applications, including exploitation under action of ionizing radiation. For estimating the changes of chemical bonds in silicon nitride nanolayers under action of ionizing radiation single and multi-layer silicon nitride nanolayered coatings on prepared Si subtrate were investigated by means of Fourier transform infrared spectrometry. Three main groups of signals were identified in both types of nanolayers, at 510 and 820 cm-1 and group of broad signals at 1000-1200 cm-1. Irr

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Szczepanska-Woszczyna, Katarzyna, and Mohammed Nadeem. "Multi-level Approach to the “Social Marketing” Context for Innovation: Impact on Organizational Relationships." International Journal of Marketing Studies 8, no. 2 (2016): 24. http://dx.doi.org/10.5539/ijms.v8n2p24.

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<p>The aim of the article is to explore the social aspects of innovation at three levels of research: individual, group, and organization. A multi-level approach enhances the understanding of how organizational context shapes and is shaped by the actions and perceptions of individuals. It may provide more precise research findings and more rigorous theory testing by clarifying the level of analysis. A resource-based approach and adaptation theories are used in relation to the organizational level, while at the individual level, psychological theories are applied. We propose a theoretical

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Ashwin, Sarah, Chikako Oka, Elke Schuessler, Rachel Alexander, and Nora Lohmeyer. "Spillover Effects across Transnational Industrial Relations Agreements: The Potential and Limits of Collective Action in Global Supply Chains." ILR Review 73, no. 4 (2020): 995–1020. http://dx.doi.org/10.1177/0019793919896570.

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Using qualitative data from interviews with multiple respondents in 45 garment brands and retailers, as well as respondents from unions and other stakeholders, the authors analyze the emergence of the Action Collaboration Transformation (ACT) living wages initiative. They ask how the inter-firm coordination and firm–union cooperation demanded by a multi-firm transnational industrial relations agreement (TIRA) developed. Synthesizing insights from the industrial relations and private governance literatures along with recent collective action theory, they identify a new pathway for the emergence

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Ji, Xingyu, Zhengwei Yang, and Xianghua Zhai. "Noether Symmetry of Multi-Time-Delay Non-Conservative Mechanical System and Its Conserved Quantity." Symmetry 16, no. 4 (2024): 475. http://dx.doi.org/10.3390/sym16040475.

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The study of multi-time-delay dynamical systems has highlighted many challenges, especially regarding the solution and analysis of multi-time-delay equations. The symmetry and conserved quantity are two important and effective essential properties for understanding complex dynamical behavior. In this study, a multi-time-delay non-conservative mechanical system is investigated. Firstly, the multi-time-delay Hamilton principle is proposed. Then, multi-time-delay non-conservative dynamical equations are deduced. Secondly, depending on the infinitesimal group transformations, the invariance of the

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Singer-Brodowski, Mandy, Janne von Seggern, Anika Duveneck, and Nadine Etzkorn. "Moving (Reflexively within) Structures. The Governance of Education for Sustainable Development in Germany." Sustainability 12, no. 7 (2020): 2778. http://dx.doi.org/10.3390/su12072778.

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The educational governance discourse aims at capturing how different actors, participating in a specific political process, coordinate their actions while working together within multi-actor policy networks. In Germany, such multi-actor policy networks have set up ambitious political goals on the implementation of education for sustainable development (ESD) that has resulted in the National Action Plan. The current domestic slogan “From Project to Structure” reveals the overall aim of scaling ESD. In this article, a governance perspective is used to examine how the actors involved in ESD in Ge

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Sun, Yong Yong. "Realization on Multi-Agent Intelligent Decision Support System Based on Blackboard." Applied Mechanics and Materials 271-272 (December 2012): 1608–13. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.1608.

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The majority of work is completed by collaboration of various components in a particular group environment, and the architecture of Multi-Agent Intelligent Decision Support System based on blackboard is designed using blackboard system and Agent. At the same time, implementation technique on Agent in system is provided, that includes abstract structure of Agent and modeling of Agent action. In addition to, mechanism of breakdown the task on blackboard control Agent is described. The system is helpful to resolve the complicated works though Multi-Agent.

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SHIBUYA, Tomoharu, and Takeru SUDO. "On a Characterization of a State of Rank-Modulation Scheme Over Multi-Cell Ranking by a Group Action." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E100.A, no. 12 (2017): 2558–71. http://dx.doi.org/10.1587/transfun.e100.a.2558.

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Trott, Carlie D. "Reshaping our world: Collaborating with children for community-based climate change action." Action Research 17, no. 1 (2019): 42–62. http://dx.doi.org/10.1177/1476750319829209.

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This paper documents a collaborative, multi-site participatory action research project in collaboration with children to act on climate change within local community settings. The project was an after-school program that combined hands-on climate change educational activities with photovoice, a participatory action research method that uses digital photography as the basis for problem identification, group dialogue, and social change action. Grounded in transformative sustainability learning theory and integrated with an arts-based participatory action research methodology, the program was des

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Mohd Hassan, Naffisah, Erne Suzila Kassim, Noorain Mohamad Yunus, and Syukrina Alini Mat Ali. "Wellbeing of Lower Income Group University Students During Covid19 Pandemics: Multi-Group Analysis of Male-Female and Urban-Rural Origin." Asia Proceedings of Social Sciences 7, no. 1 (2021): 82–86. http://dx.doi.org/10.31580/apss.v7i1.1778.

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This research was conducted during the COVID 19 pandemic to determine if there is a significant difference in the wellbeing of the lower-income group university students between (1) males and females and (2) urban and rural origin. A quantitative non-experimental comparative study was adopted, and data was collected via an online survey using a convenience sampling technique. A standardized World Health Organization-QOL BREF questionnaire containing 26 items was used for assessing the QOL of the subjects. Partial Least Square – structural equation modelling (PLS-SEM) and multigroup analysis (M

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Murray, Jaylene. "Student-led action for sustainability in higher education: a literature review." International Journal of Sustainability in Higher Education 19, no. 6 (2018): 1095–110. http://dx.doi.org/10.1108/ijshe-09-2017-0164.

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Purpose Over the past few decades, universities have been recognized as ideal leaders for the development of policies and innovative solutions required to support the transition to sustainable societies. As a major stakeholder group, students play a significant role in moving this agenda forward; however, their actions remain understudied in the sustainability in higher education (SHE) literature. Design/methodology/approach In response, this systematic literature review was conducted to determine what research has been done on student-led action for SHE. Findings Findings demonstrate that whi

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Čerin, Zvonko. "Equivariant shape theory." Mathematical Proceedings of the Cambridge Philosophical Society 117, no. 2 (1995): 303–20. http://dx.doi.org/10.1017/s0305004100073138.

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AbstractEquivariant shape theory is an improvement of equivariant homotopy theory which could be regarded as an equivariant version of Borsuk's shape theory. The main result in this paper is a description of the equivariant shape category ShG whose objects are equivariant spaces or G-spaces, i.e. topological spaces endowed with an action of a given topological group G, and whose morphisms are equivariant homotopy or G-homotopy classes of families of multi-valued functions which we call equivariant multi-nets or G-multi-nets. Previously equivariant shape theories have been described only under

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Yang, Yang, Jiang Li, Jinyong Hou, Ye Wang, and Huadong Zhao. "A Policy Gradient Algorithm to Alleviate the Multi-Agent Value Overestimation Problem in Complex Environments." Sensors 23, no. 23 (2023): 9520. http://dx.doi.org/10.3390/s23239520.

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Multi-agent reinforcement learning excels at addressing group intelligent decision-making problems involving sequential decision-making. In particular, in complex, high-dimensional state and action spaces, it imposes higher demands on the reliability, stability, and adaptability of decision algorithms. The reinforcement learning algorithm based on the multi-agent deep strategy gradient incorporates a function approximation method using discriminant networks. However, this can lead to estimation errors when agents evaluate action values, thereby reducing model reliability and stability and resu

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Palis, Florencia G., Grant R. Singleton, Peter R. Brown, Nguyen Huu Huan, Christian Umali, and Nguyen Thi Duong Nga. "Can humans outsmart rodents? Learning to work collectively and strategically." Wildlife Research 38, no. 7 (2011): 568. http://dx.doi.org/10.1071/wr10226.

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Context Rodents are one of the major constraints in Asian rice production, both in pre- and post-harvest. Rodents are often perceived by farmers in developing countries to be consistently outsmarting humans – a belief that needs to be overcome. Ecologically based rodent management (EBRM) is a possible solution to manage rodent populations effectively, which in turn can help sustain food security in Asia. Well coordinated community action is necessary to effectively carry out EBRM. This paper considers the socio-cultural challenges of EBRM. Aims To determine whether a multi-stakeholder partners

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STANISHEVSKA, Beata. "The development of executive functions at the turn of a child's life." EUROPEAN HUMANITIES STUDIES: State and Society, no. 4 (December 29, 2021): 58–84. http://dx.doi.org/10.38014/ehs-ss.2021.4.04.

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Executive functions, also known as cognitive control functions, are complex mental processes necessary for the complex, multi-stage and purposeful human functioning, intended action and behavior. The article distinguishes and characterizes a group of selected executive processes: planning, cognitive control, inhibition, thinking flexibility, verbal fluency and working memory. The development of executive functions at the turn of a child's life is also discussed.

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Houtbeckers, Eeva. "Working the insider–outsider hyphen in action research for sustainability: tensions in citizen-led multi-stakeholder forest dialogues." IJAR – International Journal of Action Research 21, no. 1-2025 (2025): 24. https://doi.org/10.3224/ijar.v21i1.03.

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Socio-ecological crises such as global warming and biodiversity loss have resulted in calls for action research for sustainability. This article provides an account of one action research for sustainability to expand the understanding of how such processes can address the cultural dualisms and hierarchies identified in ecofeminism. The need to both protect and use forests has resulted in heated debates in which citizens are underrepresented. I as a scholar was involved in a workin group that established and managed a citizen-led, multi-stakeholder forest movement that organised 15 forest dialo

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YU, Xiaohan, Zeshui XU, and Shousheng LIU. "SYSTEMATIC DECISION MAKING: A EXTENDED MULTI-CRITERIA DECISION MAKING MODEL." Technological and Economic Development of Economy 23, no. 1 (2017): 157–77. http://dx.doi.org/10.3846/20294913.2016.1212121.

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Considering some complex multi-criteria decision making (MCDM) problems, in which decision environment is dynamic, there are various interdependences among criteria, and plans (systematized alternatives) consisting of multiple time sequential interdependent actions, cannot be well handled by means of the existing MCDM methods, therefore, we develop a systematic decision making (SDM) as an improvement and supplement of the classic MCDM in this paper. The SDM is for prescribing methods of evaluating and selecting the most favourite plan (a system) from a group of feasible ones concerning influen

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Ermolov, Ivan, and Sergey Khripunov. "A possible approach to the synthesis of behavior of robots used in groups." Robotics and Technical Cybernetics 11, no. 3 (2023): 215–23. http://dx.doi.org/10.31776/rtcj.11307.

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This paper studies tactical level of control in multi-agent robotics. We propose to use analytical-synthetic modular approach to synthesize tactics of robots acting in group. Within it we investigate alternative scenarios (i.e. modules) which present separate situations consisting in its turn of primitive action. Within this paper we give an idea regard-ing application of this approach on a base of example of UAVs invasion.

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Yu, Jiagen, Zhengjiang Liu, and Xianku Zhang. "DCA-Based Collision Avoidance Path Planning for Marine Vehicles in Presence of the Multi-Ship Encounter Situation." Journal of Marine Science and Engineering 10, no. 4 (2022): 529. http://dx.doi.org/10.3390/jmse10040529.

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The problem of ship collision avoidance path planning is one of the key problems in the ship motion control field. Aiming at the high computational time problem of path planning in multi-ship encounter situations and the impact of the target ship’s action changes on path planning, this paper proposes a dynamic path-planning method based on dynamic cluster analysis (DCA), which is used to dynamically cluster target ships with similar attributes into a group ship, reducing the number of calculated targets and improving the efficiency of path planning. Taking into full consideration the action re

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de Gosson, Maurice A. "Symplectic Radon Transform and the Metaplectic Representation." Entropy 24, no. 6 (2022): 761. http://dx.doi.org/10.3390/e24060761.

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We study the symplectic Radon transform from the point of view of the metaplectic representation of the symplectic group and its action on the Lagrangian Grassmannian. We give rigorous proofs in the general setting of multi-dimensional quantum systems. We interpret the Radon transform of a quantum state as a generalized marginal distribution for its Wigner transform; the inverse Radon transform thus appears as a “demarginalization process” for the Wigner distribution.

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Xia, Zheng You, and Chen Ling Gu. "The Role of Belief in the Emergence of Social Conventions in Artificial Social System." Advanced Materials Research 159 (December 2010): 210–15. http://dx.doi.org/10.4028/www.scientific.net/amr.159.210.

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The emergence of social conventions in multi-agent systems has been analyzed mainly by considering a group of homogeneous autonomous agents that can reach a global agreement using locally available information. We use novel viewpoint to consider that the process through which agents coordinate their behaviors to reduce conflict is also the process agents use to evaluate trust relations with their neighbors during local interactions. In this paper, we propose using the belief update rule called Instances of Satisfying and Dissatisfying (ISD) to study the evolution of agents' beliefs during loca

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Fairchild, Ruth M., and Maria Z. Morgan. "Delivering multidisciplinary public health in action – the Cardiff Food Strategy case study." Public Health Nutrition 10, no. 1 (2007): 42–48. http://dx.doi.org/10.1017/s1368980007217963.

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AbstractBackgroundThere is an increasing awareness that the provision of healthy food relies on the co-ordinated efforts of a number of diverse disciplines, not merely those traditionally linked with food. This paper documents the development of a food and health strategy, commissioned by the health alliance for the city of Cardiff, and focuses on the areas of sustainability, education and training as well as nutrition, food provision and food safety.ObjectiveThe aim of the strategy was to increase the uptake of a healthy, safe and sustainable diet for all those living in Cardiff.MethodThe met

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Liu, Jinde, Qiao Rong, Chunxiao Zhang, et al. "The Mechanism of Mori Folium and Eucommiae Cortex against Cyclophosphamide-Induced Immunosuppression Integrating Network Pharmacology, Molecular Docking, Molecular Dynamics Simulations, and Experimental Validation." Metabolites 13, no. 11 (2023): 1151. http://dx.doi.org/10.3390/metabo13111151.

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It has been reported that Mori Folium (MF) and Eucommiae Cortex (EC) exhibit pharmacological effects in the treatment of immunosuppression. However, the mechanism of MF and EC against immunosuppression remains unclear. This study aims to explore the mechanism of action of MF and EC for the treatment of immunosuppression through network pharmacology, molecular docking, molecular dynamics simulations and animal experiments. As a result, 11 critical components, 9 hub targets, and related signaling pathways in the treatment of immunosuppression were obtained based on network pharmacology. The mole

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Li, Mingqian, and Jing Zhao. "Human Sports Action and Ideological and PoliticalEvaluation by Lightweight Deep Learning Model." Computational Intelligence and Neuroscience 2022 (July 9, 2022): 1–8. http://dx.doi.org/10.1155/2022/5794914.

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The purpose is to automatically and quickly analyze whether the rope skipping actions conform to the standards and give correct guidance and training plans. Firstly, aiming at the problem of motion analysis, a deep learning (DL) framework is proposed to obtain the coordinates of key points in rope skipping. The framework is based on the OpenPose method and uses the lightweight MobileNetV2 instead of the Visual Geometry Group (VGG) 19. Secondly, a multi-label classification model is proposed: attention long short-term memory-long short-term memory (ALSTM-LSTM), according to the algorithm adapti

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Shen, Yanhua, Zhengmin Kong, and Li Ding. "Flocking of Multi-Agent System with Nonlinear Dynamics via Distributed Event-Triggered Control." Applied Sciences 9, no. 7 (2019): 1336. http://dx.doi.org/10.3390/app9071336.

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In this paper, a distributed event-triggered control strategy is proposed to investigate aflocking problem in a multi-agent system with Lipschitz nonlinear dynamics, where triggeringconditions are proposed to determine the instants to update the controller. A distributedevent-triggered control law with bounded action function is proposed for free flocking. It is provedthat the designed event-triggered controller ensures a group of agents reach stable flocking motionwhile preserving connectivity of the communication network. Lastly, simulations are provided toverify the effectiveness of the the

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Papacostantis, Helen, and Muriel Mushariwa. "THE IMPACT OF MINORITY STATUS IN THE APPLICATION OF AFFIRMATIVE ACTION: NAIDOO v MINISTER OF SAFETY AND SECURITY 2013 5 BLLR 490 (LC)." Potchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad 19 (May 25, 2016): 1. http://dx.doi.org/10.17159/1727-3781/2016/v19i0a1160.

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Affirmative action measures within the workplace seek to ensure equal employment opportunities and create a workforce that is representative of South African society. Accordingly, employers need to ensure that the substantive goal of equality is achieved when implementing affirmative action. One of the challenges faced by employers is the choice of beneficiary from designated groups which is diverse and unequal within itself. This paper seeks to address this challenge by looking at the definition given to beneficiaries of affirmative action and the concept of multi layered disadvantage within

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Jurva, Katrina, and Inga Jasinskaja-Lahti. "Accounting for a planned migration through ethnic identity talk." Culture & Psychology 21, no. 2 (2015): 276–89. http://dx.doi.org/10.1177/1354067x15570486.

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Previous discursive research on ethnic identity has suggested the complex and multi-faceted nature of accomplishing membership in an ethnic group. In this paper, we explore how ethnic identity claims may be used as a resource in accounting for behavior seen as open to the group, namely a planned migration to one's ancestral homeland. A discursive psychological approach is used to analyze focus group data with potential ethnic return migrants, specifically, adults with Finnish roots who intend to migrate to Finland. Ethnic identity was accomplished in subtle ways by drawing on one's roots and a

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Zhang, Bowen, and Tianqi Wang. "Visual Image Recognition of Basketball Turning and Dribbling Based on Feature Extraction." Traitement du Signal 39, no. 6 (2022): 2115–21. http://dx.doi.org/10.18280/ts.390624.

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The processing of basketball videos with complex contents faces several challenges in terms of global motion features, group motion features, and individual pose features. The current research cannot solve problems, such as the diverse spatiotemporal features of actions, the utilization of correspondence between spatiotemporal features, the increase of data volume, and the complexity of the network. To solve these problems, this paper studies the visual image recognition of basketball turning and dribbling based on feature extraction. Specifically, the optical flow image was introduced to esta

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Thuessen, Annette Aagaard, and Niels Christian Nielsen. "A Territorial Perspective On Eu´S Leader Approach In Denmark: The Added Value Of Community-Led Local Development Of Rural And Coastal Areas In A Multi-Level Governance Settings." European Countryside 6, no. 4 (2014): 307–26. http://dx.doi.org/10.2478/euco-2014-0017.

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AbstractThis paper investigates the added value of the territorial governance approach LEADER in the multi-level governance setting of rural and coastal development. Using focus group interviews in five Danish rural and fisheries local action groups (LAGs) from the 2007-2013 programming period, the paper demonstrates that pursuing the LEADER method at the LAG level enhances rural development in the form of leverage, democratisation and bottom-up decision making that none of the other levels in the multi-level governance setup of LEADER would be able to provide. However, some of the method’s se

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Parajuli, Dilu Ram. "Learner’s Engagement through Multi-layer Concept Map in Science Learning: A STEAM Perspective." Interdisciplinary Research in Education 9, no. 2 (2024): 133–45. https://doi.org/10.3126/ire.v9i2.75031.

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This research focuses on the empirical investigation of STEAM literacy as encompassing techniques derived from implementing multi-layer concept map techniques in the science classroom. As a pedagogical tool for student learning and teacher instruction, it offers students more significant opportunities to expand their understanding of and gain engaging experiences in multidisciplinary areas like STEAM subjects. It also enhances the learner’s own choice of concept and shares the designed concept map with/within the group accompanied by dialogic scenarios. Methodologically, it is based on partici

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