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Nowadays the prediction and change of waste-related behaviors represent a key topic for scholars and policy makers. The theoretical mainstays applied to waste separation behavior, such as the Theory of Planned Behavior (TPB), the Norm Activation Model and the Value Belief Norm, do not include the construct of goal in their formulation. Other goal-focused theories, such as the Goal Systems Theory (GST), lack applications on separation behavior. Recently, Ajzen and Kruglanski (2019) have proposed the Theory of Reasoned Goal Pursuit (TRGP) which combines TPB and GST. Considering TRGP has the potential to offer further insights on human behavior and, to our knowledge, there is no application of TRGP to recycling behavior yet, this paper analyses waste separation behavior of households in Maastricht and Zwolle (The Netherlands) under the lens of TRGP. Although waste separation behavior represents a kind of habitual behavior, this paper highlights the influence of goals and motivation on intention to separate waste. Furthermore, it offers some indications to promote behavior change and some suggestions for future research directions. [ABSTRACT FROM AUTHOR]

In this paper, the implementation of artificial neural networks (multilayer perceptron [MLP] and radial base functions [RBF]) and the upgraded Markov chain model have been studied and performed to identify the human behavior patterns during rock, paper, and scissors game. The main motivation of this research is the design and construction of an intelligent robot with the ability to defeat a human opponent. MATLAB software has been used to implement intelligent algorithms. After implementing the algorithms, their effectiveness in detecting human behavior pattern has been investigated. To ensure the ideal performance of the implemented model, each player played with the desired algorithms in three different stages. The results showed that the percentage of winning computer with MLP and RBF neural networks and upgraded Markov model, on average in men and women is 59%, 76.66%, and 75%, respectively. Obtained results clearly indicate a very good performance of the RBF neural network and the upgraded Markov model in the mental modeling of the human opponent in the game of rock, paper, and scissors. In the end, the designed game has been employed in both hardware and software which include the Zana intelligent robot and a digital version with a graphical user interface design on the stand. To the best knowledge of the authors, the precision of novel presented method for determining human behavior patterns was the highest precision among all of the previous studies. [ABSTRACT FROM AUTHOR]

Introduction: Brain lateralization is associated with human behavior. Therefore, this study aimed at investigating the effects of brain lateralization on the scores of paranormal beliefs. Methods: The study population included 180 students of Sanandaj universities, Sanandaj City, Iran who were selected with convenience sampling method (100 left-brained males, 6 left-brained females, 56 both left- and right-brained males and 22 both left- and right-brained females). The research tools were the paranormal belief scale developed by Blackmore (1994), as well as the brain lateralization questionnaire (1985). Results: The obtained findings suggested a significant difference between the left-brain and right-brained people in terms of paranormal beliefs. A significant difference was also found between the left-brained males and both left- and right-brained females in terms of paranormal beliefs. Conclusion: The paranormal beliefs of the left-brained cases were different from both left- and right-brained subjects, which can be seen between the left-brained males and both left- and right-brained females. [ABSTRACT FROM AUTHOR]

Purpose: The correct interaction between the workforce and augmented, virtual, and mixed reality technologies represents a crucial aspect of the success of the smart factory. This interaction is, indeed, affected by the variability of human behavior and its reliability, which can strongly influence the quality, safety, and productivity standards. For this reason, this paper aims to provide a clear and complete analysis of the impacts of these technologies on the worker’s performance. Design/methodology/approach: A Systematic Literature Review (SLR) was conducted to identify peerreviewed papers that focused on the implementation of augmented and virtual technologies in manufacturing systems and their effects on human performance. Findings: In total, 61 papers were selected and thoroughly analyzed. The findings of this study reveal that augmented, virtual and mixed reality can be applied for several applications in manufacturing systems with different types of devices, that involve various advantages and disadvantages. The worker’s performances that are influenced by the use of these technologies are above all time to complete a task, error rate, and mental and physical workload. Originality/value: Over the years augmented, virtual and mixed reality technologies in manufacturing systems have been investigated by researchers. Several studies mostly focused on technological issues, have been conducted. The role of the operator, whose tasks may be influenced positively or negatively by the use of new devices, has been hardly ever analyzed and a deep analysis of human performance affected by these technologies is missing. This study represents a preliminary analysis to fill this gap. The results obtained from the SLR allowed us to develop a conceptual framework that investigates the current stateof-the-art knowledge about the topic and highlights gaps in the current research. [ABSTRACT FROM AUTHOR]

A literary criticism of the short story "The Yellow Wall-Paper" by Charlotte Perkins Gilman is presented. It comments on the similarity of the main character to that of the character named Bertha Mason from the novel "Jane Eyre" by Charlotte Brontë. The character created by Gilman is described as wild and bestial and the use of imagery relating to cats is discussed. The use of animal references to communicate ideas about gender is also explored.

Introduction: Attitudes and aptitudes play an important role in the acceptance of hearing aids. We can objectively and subjectively examine the attitude of individuals toward hearing loss and hearing aids, using Attitudes towards Loss of Hearing Questionnaire (ALHQ). The aim of this study was to examine the effect of demographic factors on the responses of individuals to ALHQ and to compare the scores of the questionnaire between hearing aid users and hearing aid non-users. Materials and Methods: This study was performed on 100 hearing-impaired participants. They were divided into hearing aid users and non-users groups. After hearing assessments, the participants were asked to complete the questionnaire; then, the responses of the two groups were compared and the effects of demographic factors on the responses were examined. Results: The questionnaire scores in the hearing aid non-users were higher than the hearing aid users. The results showed a reverse correlation between the history of hearing aid usage and the scores of the questionnaire. There was also a reverse correlation between the mean score of pure tone thresholds in the left ear with the scores of the questionnaire in the hearing aid users. Furthermore, there was a significant correlation between the type of hearing aid and the scores of the questionnaire. Conclusion: Hearing aid non-users have a more negative attitude toward hearing aids and are more likely to deny their hearing loss compared to hearing aid users. [ABSTRACT FROM AUTHOR]

This article explores the design and ethical considerations of social robots in human-robot interaction (HRI). The authors argue that social robots should have an honest design that accurately reflects their capabilities and aligns with user needs in specific use cases. They suggest that an honest design can reduce uncertainty and shape users' expectations during interaction. The article raises questions about categorizing user needs, adjusting a robot's capabilities, perceiving a robot with an honest design, and developing an evaluation framework for a robot's affordances, capabilities, and usability. [Extracted from the article]

Self-immolation is a fatal and devastating method of committing suicide used around the world. The chief aim of the present article is to look at the trend of indexed papers in PubMed covering different aspects of self-immolation. PubMed search engine (http://www.ncbi.nlm.nih.gov) was searched by using six keywords i.e. "self-immolation", "self-inflicted burn", "self-burning", "self-incineration", "suicidal burns" and "suicide by burning". These keywords should appear either in the title or the abstract of the articles. The time frame was set as to retrieve papers expanding from early indexing time up to end of the year 2011. Based on the search strategy 132 papers were retrieved from these total numbers; 12 (9%) were categorized as review papers; 24 (18%) as case reports and the rest 96 (73%) were original studies. It seems that the number of papers increased during the years of investigations and the highest indexed papers i.e. 14 (10.6%) belonged to the year 2011. While most journals, published only one article the highest indexed papers i.e. 35 (26.5%) belonged to Burns. There was an increasing trend in the number of self-immolation articles indexed in PubMed since 1965. Three journals i.e. Burns, Journal of Burn Care and Rehabilitation and Journal of Forensic Sciences hosted for more than 37% of all those indexed articles. However, given the increasing trend of self-immolation still more studies are needed to shed light on the diverse aspects of this appalling human behavior. [ABSTRACT FROM AUTHOR]

An editorial is presented in the Journal of West African Languages, celebrating Volume 50 as a jubilee edition that combines usual volumes into one. Topics include diverse linguistic areas such as phonetics, morphology, and sociolinguistics, with specific papers exploring West African language vowel systems, Igbo vowel elision and assimilation, and Yorùbá noun ontological annotation.

Background There are repeated calls to build better cycling paths in Australian cities if the proportion of people cycling is to increase. Yet the full range of transport, health, environmental and economic impacts of new cycling infrastructure and the extent to which observed changes are sustained is not well understood. The City of Sydney is currently building a new bicycle network, which includes a new bicycle path separated from road traffic in the south Sydney area. This protocol paper describes a comprehensive method to evaluate this new cycling infrastructure. Method A cohort of residents within two kilometres of the new bicycle path will be surveyed at baseline before a new section of bicycle path is built, and again 12 and 24 months later to assess changes in travel behaviour, sense of community, quality of life and health behaviours. Residents in a comparable area of Sydney that will not get a new separated bike path will act as a comparison group. At baseline a sub-set of residents who volunteer will also take a small GPS device with them for one week to assess travel behaviour. Discussion This research should contribute to the advancement in evaluation and appraisal methods for cycling projects. [ABSTRACT FROM AUTHOR]

The awards were to Professor Lisa Cameron and Professor Ian McDonald. The selection committee comprising the chair, Professor Lionel Page, and committee members, Professor Shuping Shi and Professor Firmin Doko Tchatoka, reviewed papers published in the five issues of the I Economic Record i for 2022. IV Distinguished Fellow Public Policy Award 2023: Professor Meredith Edwards The ESA Distinguished Public Policy Fellow Award honours a distinguished Australian economist for their contribution to the application of economics to public policy. III Distinguished Fellow Award 2023: Professor Lisa Cameron and Professor Ian McDonald The ESA Distinguished Fellow Award honours a distinguished Australian economist for their contribution to the development of economics. [Extracted from the article]

In recent years, the exploration of knowledge in large-scale human mobility has gained significant attention. In order to achieve a semantic understanding of human behavior and uncover patterns in large-scale human mobility, Named Entity Recognition (NER) is a crucial technology. The rapid advancements in IoT and CPS technologies have led to the collection of massive human mobility data from various sources. Therefore, there's a need for Cross-domain NER which can transfer entity information from the source domain to automatically identify and classify entities in different target domain texts. In the situation of the data-poor, how could we transfer human mobility knowledge over time and space is particularly significant, therefore this paper proposes an Adaptive Text Sequence Enhancement Module (at-SAM) to help the model enhance the association between entities in sentences in the data-poor target domains. This paper also proposes a Predicted Label-Guided Dual Sequence Aware Information Module (Dual-SAM) to improve the transferability of label information. Experiments were conducted in domains that contain hidden knowledge about human mobility, the results show that this method can transfer task knowledge between multiple different domains in the data-poor scenarios and achieve SOTA performance. [ABSTRACT FROM AUTHOR]

This paper provides a rationale and convention for discussing the true limits and interpretation of data collected using unidimensional, summated, Likert-type, and attitudinal scales used in research investigating human behavior, sociology, education, psychology, and other related fields of study. All vague quantifiers must be described in methods and findings. The true limits of the scale and of each vague quantifier should be described. This information should be placed in the methods section. A five-point summated scale, for example, can be interpreted as follows: Strongly Agree = 5 - 4.51, Agree = 4.5 - 3.51, Neither Agree nor Disagree = 3.5 - 2.51, Disagree = 2.5 - 1.51, Strongly Disagree = 1.5 - 1. This paper also provides a rationale and convention for the use of nonstandardized effect size (ES) estimates to describe the magnitude and strength of the effect. This is accomplished by subtracting one summated M from another summated M and interpreted using the following convention: Small (ES = .19 and lower); Medium (ES = .20 - .49); and Large (ES = .50 and higher). The rationale for this is based on the intuitiveness of the measure, true limits of the scale, and scale intervals. [ABSTRACT FROM AUTHOR]

The article presents abstracts on topics related to developmental medicine and child neurology including the importance of cross-syndrome comparisons, development of executive functions during early childhood and the effects of early institutionalisation on brain and behavioural development.

What do evolutionary psychologists study, which are their most highly cited articles, and which variables predict high citation counts? These are important questions for any emerging science. To help answer these questions, we present new empirical research on publication trends in evolutionary psychology's flagship journal, Evolution and Human Behavior (and its predecessor, Ethology and Sociobiology), from its inception in 1979 to 2008. First, analyses of 8,631 title words published in these journals between 1979 and 2008 (808 articles) show an increasing interest in researching sex, sex differences, faces, and attractiveness. For example, during the Ethology and Sociobiology era (1979-1996), the most frequent title words were "evolutionary," "human," "behavior," "reproductive," "evolution," "selection," and "altruism," whereas during the Evolution and Human Behavior era (1997-2008), they were "sex," "attractiveness," "differences," "sexual," "human," "male," and "facial." Second, we reveal the 20 most-cited articles in these journals, which show the importance of research teams. Third, citation analyses for these journals between 1979 and 2002 (562 articles) suggest articles that cite more references are in turn cited more themselves (r = .44, R2 = .19). Lastly, we summarize recent research that suggests evolutionary psychology is not only surviving, but also thriving, as a new interdisciplinary science. [ABSTRACT FROM AUTHOR]

The Fulker Award was established by the Behavior Genetics Association in memory of David Fulker, a past President of the Association and Executive Editor of the journal, who died in 1998 (Hewitt [2]). Six different papers were nominated by the Associate Editors; this year there was an emphasis on outstanding human empirical and methodological papers, and several that combined both topics. [Extracted from the article]

Iterated games provide a framework to describe social interactions among groups of individuals. This body of work has focused primarily on individuals who face a simple binary choice, such as "cooperate" or "defect." Real individuals, however, can exhibit behavioral diversity, varying their input to a social interaction both qualitatively and quantitatively. Here we explore how access to a greater diversity of behavioral choices impacts the evolution of social dynamics in populations. We show that, in public goods games, some simple strategies that choose between only two possible actions can resist invasion by all multichoice invaders, even while engaging in relatively little punishment. More generally, access to a larger repertoire of behavioral choices results in a more "rugged" fitness landscape, with populations able to stabilize cooperation at multiple levels of investment. As a result, increased behavioral choice facilitates cooperation when returns on investments are low, but it hinders cooperation when returns on investments are high. Finally, we analyze iterated rock-paper-scissors games, the nontransitive payoff structure of which means that unilateral control is difficult to achieve. Despite this, we find that a large proportion of multichoice strategies can invade and resist invasion by single-choice strategies--so that even well-mixed populations will tend to evolve and maintain behavioral diversity. [ABSTRACT FROM AUTHOR]

Predicting and modeling human behavior and finding trends within human decision-making processes is a major problem of social science. Rock Paper Scissors (RPS) is the fundamental strategic question in many game theory problems and real-world competitions. Finding the right approach to beat a particular human opponent is challenging. Here we use an AI (artificial intelligence) algorithm based on Markov Models of one fixed memory length (abbreviated as "single AI") to compete against humans in an iterated RPS game. We model and predict human competition behavior by combining many Markov Models with different fixed memory lengths (abbreviated as "multi-AI"), and develop an architecture of multi-AI with changeable parameters to adapt to different competition strategies. We introduce a parameter called "focus length" (a positive number such as 5 or 10) to control the speed and sensitivity for our multi-AI to adapt to the opponent's strategy change. The focus length is the number of previous rounds that the multi-AI should look at when determining which Single-AI has the best performance and should choose to play for the next game. We experimented with 52 different people, each playing 300 rounds continuously against one specific multi-AI model, and demonstrated that our strategy could win against more than 95% of human opponents. [ABSTRACT FROM AUTHOR]

Harvesting usable and meaningful disaster-related, spatio-temporal data at a highly granular level poses major challenges in its cleaning and aggregation. This paper presents a strategy related to those challenges with respect to individual behavior near COVID-19 laden healthcare facilities. This is done to enable the visualizing of egress behavior data as interactive, three-dimensional (3D) scenes to investigate human behavior patterns regarding touch-based, disease transmission. Therefore, the aim is to demonstrate how this concept of 3D epidemiology may provide new mechanisms to understand the relative risk and exposure prevalence for data analysis. This paper demonstrates 3D enablement of disaster-related field data through use of first-hand observations of 1,936 individuals egressing New York City healthcare facilities during the onset of COVID-19 in the Spring of 2020. The observations capture egress behavior in terms of where people go (e.g. coffee shop, Subway) and how they physically interact with the surroundings (i.e. what they touch and how long they remain). This paper introduces a mechanism for automated extraction and 3D visualization of such data in Potree, an open-source Web Graphics Library (WebGL) point cloud viewer. Distinctive vertex shaders are used to distinguish specific destination selection and behavioral patterns (e.g. personal protective equipment usage). Two-dimensional heatmaps are paired with 3D scenes to demonstrate the potential of using 3D visualization of spatio-temporal patterns for visualizing disease transmission potential. [ABSTRACT FROM AUTHOR]

In this paper, we reviewed 126 papers published in 13 top journals in information systems from 2008 to 2022 that focused on the adoption of social networking sites (SNS) and its consequences. The paper presents a summary of the literature review. The literature review indicated that most scholars studied the adoption and the consequences of SNS adoption in silos. Human behavior is complex. Skinnerian behaviorism posits that human behavior is triggered by environmental stimulus and reinforced by an appraisal of consequences to the behavior. It evinces a need for the development of an integrative framework to model the stimulus for adoption of SNS and an appraisal of the reinforcement of the consequences of adoption in a single frame. We analyze the associated constructs and theories to propose the integrative Social Networking Site Exploitation Framework (SNSEF), based on reinforcement theory, social psychology, and social capital theory. The SNSEF constitutes nine propositions to explain human motivations and behavior that leads to value creation on SNS. SNS providers will find the framework useful to assess human motivations of SNS usage and the value generation from the sites to design appropriate features of their sites to attract and retain active users. The SNSEF will help educational and business organizations as well as governmental agencies in designing appropriate policies for SNS adoption and exploiting SNS for communication. Business managers and marketers may leverage the SNSEF to understand user behavior on SNS to attain business goals. Academic scholars may gain from the literature review, propositions of the SNSEF, and the future research directions presented in this paper. [ABSTRACT FROM AUTHOR]

INGROUPS AND OUTGROUPS: WHAT PSYCHOLOGY DOESN'T SAY Will briefly make four points about sociobiology, favoritism toward the ingroup, Ingroup favoritism sounds much nicer than outgroup hostility, and it probably. [Extracted from the article]

This paper addresses the problem of coherence, i.e., whether the internal and external dimensions of li (礼 rituals, rites, and the observance of them) are compatible. This problem stems mainly from Mencius' seemingly conflicting statements. On the one hand, he emphasized the goodness of xing (性 human nature) in terms of the goodness of the heart-mind. On the other hand, he defended the act of following li regardless of one's heart-mind. This paper argues that Mencius held coherent moral reasons internalism, asserting that moral reasons are embedded in people's universal and potential instinct to do morally good things. Consequently, he distinguished morality from non-moral normativity and claimed that the former takes precedence over the latter. The concept of li is thus divided into moral li and non-moral li, with moral li taking precedence over non-moral li. Therefore, the act of "following li regardless of one's heart-mind" refers to following non-moral li, as long as it does not conflict with moral li. Based on the fact that Mencius' concept of li is a kind of coherent moral reasons internalism, this paper further responds to some challenges from moral reasons externalism. It does so by clarifying the meaning of "seeking the cause within oneself" (反求诸己 fan qiu zhu ji), showing that Mencius believed every individual could establish rational inner guidance and be motivated to lead a reflective and autonomous moral life. [ABSTRACT FROM AUTHOR]

Zoos as an institution have a significant international and educational reach, with hundreds of institutions worldwide and hundreds of millions of visitors each year. But even with such reach, zoos continue to be overlooked by the field of literature. Over the years, zoos have been represented in many literary landscapes, and the same can be analyzed for understanding how zoos as an institution. Furthermore, the zoo’s representation in literature opens the venue for discourses on ethical considerations and moral dilemmas surrounding zoos, and questioning the impact of human intervention on the natural world. Authors of such work navigate themes of conservation, animal rights, and the blurred lines between entertainment and exploitation, prompting readers to reconsider their perceptions of zoological spaces. This research paper delves into the multifaceted representations of zoos in literature, examining how authors have engaged with the concept of the zoo as a cultural and societal institution. By employing a thematic approach, the paper investigates how zoos have been depicted as microcosms of society, mirrors reflecting human behavior and societal attitudes towards nature. The exploration encompasses works, such as Yann Martel's Life of Pi and Edward Albee’s The Zoo Story which delve into the dichotomy between captivity and freedom. The study spans various literary works aiming to provide a comprehensive analysis of the evolving portrayal of zoos in literature. [ABSTRACT FROM AUTHOR]

This paper explores the intersection of human psychology and advanced technology, focusing on how intelligent and emotive technology influences human behavior and emotional intelligence, and in the process, might impact our ability to show and feel empathy. Based in Alfred Adler's theory of human motivation, we examine how feelings of inferiority -- vulnerability, powerlessness, perfectibility, and the need for affiliation -- drive our increasing dependence on technology. The human tendency to treat inanimate objects as animate is heightened by the sophisticated communication capabilities of Generative AI (Gen AI), altering our interpersonal dynamics and communication signals. We analyze how this shift impacts empathy, self-centeredness, and impatience, suggesting a need for conscious awareness of technology's limitations to preserve genuine human connections. By conducting a "technology dependency audit," we encourage individuals to reflect on the extent to which their lives are mediated by technology. Ultimately, the paper argues for reclaiming our emotional and practical autonomy from technology to maintain authentic human relationships and emotional well-being. [ABSTRACT FROM AUTHOR]

This article explores the significance of gift-giving in human relationships, with a particular focus on traditional Korea. It discusses how gift exchanges create value and satisfaction for both parties involved, and examines the principles of gift exchange as outlined by anthropologists Marcel Mauss and Karl Polanyi. The article also explores the practical and symbolic functions of diplomatic gifts in establishing and fortifying international relationships and political order. It provides examples of diplomatic gift exchanges between China and neighboring countries, as well as between European countries and China. The article concludes by mentioning three papers that will further examine the practice of diplomatic gifts in East Asia, with a focus on Korea. [Extracted from the article]

Objectives: This study aims to enhance supervised human activity recognition based on spatiotemporal graph convolutional neural networks by addressing two key challenges: (1) extracting local spatial feature information from implicit joint connections that is unobtainable through standard graph convolutions on natural joint connections alone. (2) Capturing long-range temporal dependencies that extend beyond the limited temporal receptive fields of conventional temporal convolutions. Methods: To achieve these objectives, we propose three novel modules integrated into the spatiotemporal graph convolutional framework: (1) a connectivity feature extraction module that employs attention to model implicit joint connections and extract their local spatial features. (2) A long-range frame difference feature extraction module that captures extensive temporal context by considering larger frame intervals. (3) A coordinate transformation module that enhances spatial representation by fusing Cartesian and spherical coordinate systems. Findings: Evaluation across multiple datasets demonstrates that the proposed method achieves significant improvements over baseline networks, with the highest accuracy gains of 2.76 % on the NTU-RGB+D 60 dataset (Cross-subject), 4.1 % on NTU-RGB+D 120 (Cross-subject), and 4.3 % on Kinetics (Top-1), outperforming current state-of-the-art algorithms. This paper delves into the realm of behavior recognition technology, a cornerstone of autonomous systems, and presents a novel approach that enhances the accuracy and precision of human activity recognition. [ABSTRACT FROM AUTHOR]

Copyright of Filozofija i Drustvo is the property of University of Belgrade, Institute for Philosophy & Social Theory and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Food waste is one of the most unusual behaviours related to economic systems located on the agrifood chain. In this matter, the study of the food waste and the mechanisms that lead to its development are complex and rooted within several components of the human behaviour and economic system dynamic. In this paper, we propose the development of a model which presents the dynamics of the phenomenon based on several cause-effect relationships between aspects of human behaviour and economic aspects. The model is built using a Systems Dynamic (SD) approach, based on the identification of connections between identified causes and effects and the determination of the ontologic and mathematical nature of the connections. [ABSTRACT FROM AUTHOR]

Traditional human behavior recognition needs many training samples. Signal transmission of images and videos via visible light in the body is crucial for detecting specific actions to accelerate behavioral recognition. Joint sparse representation techniques improve identification accuracy by utilizing multi-perspective information, while distributional adaptive techniques enhance robustness by adjusting feature distributions between different perspectives. Combining both techniques enhances recognition accuracy and robustness, enabling efficient behavior recognition in complex environments with multiple perspectives. In this paper, joint sparse representation has been combined with distributed adaptation algorithm to recognize human behavior under the fusion algorithm, and verify the feasibility of the fusion algorithm through experimental analysis. The research objective of this article is to explore the use of the combination of joint sparse representation technology and distributed adaptive technology in the recall and accuracy of human detection, combined with the cross perspective human behavior recognition of wireless optical transmission. The experimental results showed that in the process of human detection, the recall and precision of the fusion algorithm in this paper reached 92% and 90% respectively, which are slightly higher than the comparison algorithm. In the experiment of recognition accuracy of different actions, the recognition accuracy of the fusion algorithm in this paper was also higher than that of the control algorithm. It can be seen that the fusion of joint sparse representation and distributed adaptation algorithms, as well as wireless communication light technology, are of great significance for human behavior recognition. [ABSTRACT FROM AUTHOR]

This article explores the concept of human nature from a post-essentialist, pluralist, and interactive perspective. It discusses Maria Kronfeldner's work on the topic and the application and implications of her ideas. The article includes papers by various authors who extend Kronfeldner's work and examine topics such as archeology, the origin of human language faculties, and the relationship between nature and culture. The article also addresses concerns about human exceptionalism and the social ramifications of scientific narratives. The exchange of views and criticism continues throughout the article, with Kronfeldner's paper serving as a response to the concerns raised. Overall, the article emphasizes the complexity of understanding human nature and the potential for integrating knowledge in specific contexts. [Extracted from the article]

This paper introduces a probabilistic framework to estimate parameters of an acquisition function given observed human behavior that can be modeled as a collection of sample paths from a Bayesian optimization procedure. The methodology involves defining a likelihood on observed human behavior from an optimization task, where the likelihood is parameterized by a Bayesian optimization subroutine governed by an unknown acquisition function. This structure enables us to make inference on a subject's acquisition function while allowing their behavior to deviate around the solution to the Bayesian optimization subroutine. To test our methods, we designed a sequential optimization task which forced subjects to balance exploration and exploitation in search of an invisible target location. Applying our proposed methods to the resulting data, we find that many subjects tend to exhibit exploration preferences beyond that of standard acquisition functions to capture. Guided by the model discrepancies, we augment the candidate acquisition functions to yield a superior fit to the human behavior in this task. [ABSTRACT FROM AUTHOR]

The article presents a commentary to the paper by David Lane, which discusses a formal, explicit and testable theory for the popular Avalanche game which explains the counter-intuitive behaviour that can be seen under circumstances using geometrical, psychological and human behavioural factors. It states that Lane's study indicates that research in social sciences can be conducted profitably in accordance with natural sciences research methodology. Moreover, it suggests that Lane develops an accurate formal model of the theory.

This article explores the use of infrared thermal imaging (ITI) as a non-invasive method to study parent-infant interactions. ITI can measure changes in cutaneous temperature and capture psychophysiological arousal states during social interactions. The authors discuss the potential of ITI to provide insight into autonomic co-regulation and bio-behavioral synchrony. They also highlight the challenges and considerations in conducting ITI studies. Additionally, the document provides a list of references and citations for scientific papers related to thermal facial imprints, autonomic contagion, mother-infant synchrony, and infant stress regulation. These papers discuss the physiological and developmental aspects of these phenomena and the potential applications of thermal imaging in studying emotions and deception detection. [Extracted from the article]

Psychology, and cross-cultural psychology (CCP) in particular, plays a pivotal role in understanding the intricate relationship between culture and human behavior. This paper sheds light on the challenges of inequity and marginalization, especially concerning scholarship from the Global South, which have roots in historical colonial practices. It highlights how intellectual extractivism and the predominance of Western research methodologies often overlook the contributions of Global South scholars and indigenous ways of knowing. Such imbalances risk narrowing the scope of psychological inquiry, privileging American and European perspectives, and undermining the richness of global human experiences. This paper calls for a shift toward more equitable collaborations and the recognition of diverse epistemologies. By advocating for genuine representation in research and valuing local knowledge, it proposes pathways for a more inclusive and authentic exploration of human behavior across cultures. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Positivity & Well-Being (IJPW) is the property of International Journal of Positivity & Well-Being (IJPW) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)