This paper describes two experiments investigating the impact of group relations on personal space. In Study 1, participants (N=39) in minimal groups were told that they would be interacting with another person. In line with expectations, personal space (as measured by the distance between chairs) was significantly less in the intragroup context than in the intergroup and interpersonal contexts. This finding was replicated in Study 2 (N=80) using an improved experimental design. These results are discussed in terms of developing a self-categorization account of personal space and crowding.
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Heliyon
January 2025
Jade University of Applied Sciences, Institute for Applied Photogrammetry and Geoinformatics, Ofener Str. 16, Oldenburg, 26129, Lower Saxony, Germany.
Though numerous studies acknowledge the critical role played by green spaces (GS) in bolstering sustainability in various dimensions, a majority of these investigations primarily center on the ecological aspect and urban environments. Due to the multifaceted benefits of GSs, different categories and expectations of these spaces can be identified across disciplines. Hence, no single method exists for evaluating the success of GSs in promoting sustainability due to the multifaceted benefits and variety of expectations.
View Article and Find Full Text PDFHeliyon
January 2025
Faculty of Material and Manufacturing Technologies, Malek Ashtar University of Technology, P.O. Box 1774-15875, Tehran, Iran.
The potential of epoxy-graphene oxide (GO) nanocomposites to improve the mechanical characteristics of conventional epoxy resins is causing them to gain prominence. This makes them appropriate for advanced engineering applications, including structural materials, automotive, and aerospace. This study aimed to develop an epoxy/GO composite with improved mechanical properties through synthesizing epoxy/GO samples with varying GO content (from 0.
View Article and Find Full Text PDFJ Neurosci Methods
January 2025
School of Electrical and Computer Engineering, Gallogly College of Engineering, University of Oklahoma, Norman, OK 73019, USA.
Background: Recent advances in multimodal signal analysis enable the identification of subtle drug-induced anomalies in sleep that traditional methods often miss.
New Method: We develop and introduce the Dynamic Representation of Multimodal Activity and Markov States (DREAMS) framework, which embeds explainable artificial intelligence (XAI) techniques to model hidden state transitions during sleep using tensorized EEG, EMG, and EOG signals from 22 subjects across three age groups (18-29, 30-49, and 50-66 years). By combining Tucker decomposition with probabilistic Hidden Markov Modeling, we quantified age-specific, temazepam-induced hidden states and significant differences in transition probabilities.
Comput Methods Programs Biomed
January 2025
Computational Biomedicine Unit, Department of Medical Sciences, University of Torino, Via Santena 19, 10126, Torino, Italy.
Background And Objectives: Several computational pipelines for biomedical data have been proposed to stratify patients and to predict their prognosis through survival analysis. However, these analyses are usually performed independently, without integrating the information derived from each of them. Clustering of survival data is an underexplored problem, and current approaches are limited for biomedical applications, whose data are usually heterogeneous and multimodal, with poor scalability for high-dimensionality.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Care Ethics, University of Humanistic Studies, Utrecht, The Netherlands.
Background: People with the chronic disease Multiple Sclerosis are subjected to different degrees of profound uncertainty. Uncertainty has been linked to adverse psychological effects such as feelings of heightened vulnerability, avoidance of decision-making, fear, worry, anxiety disorders, and even depression. Research into Multiple Sclerosis has a predominant focus on the scientific, practical, and psychosocial issues of uncertainty.
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