127 Results Found

Previous research shows a nonlinear dependency between hair cortisol concentrations and perceived stress levels. This may be due to stress being targeted at the individual level despite it also being a social phenomenon which is often affected by gro...

Group cohesion is a prominent feature of sport involvement and small group work. Despite long-standing research interest and varied conceptualizations across fields, studies have primarily focused on sports. Research in educational contexts, particul...

Studies of discrete pride in the workplace are both few and on the rise. We examined what has, to date, been unstudied, namely the impact that a leader’s expressions of authentic and hubristic pride can have on the followers at that moment, and...

Digitalization and demographic change represent two megatrends that impact organizations and workplaces around the globe. Rapid developments in information and communication technology (ICT) are fundamentally changing the ways in which work is conduc...

This study examined how members of beauty-related one-person media networks build sustainable ties with other members through various exchange activities and diffuse information based on the social contagion effect. Accordingly, social exchange relat...

This study aimed to analyse the association between endogenous hair steroid hormones as reliable biological indicators of an individual’s stress level and the social environmental factors experienced during military training that are manifested...

From the psychology of sport, the impact of group cohesion on sports performance has been studied extensively; therefore, it is considered important to measure this variable to design interventions that improve collective work to achieve goals togeth...

(1) Background: The complexity of today’s healthcare system requires the formation of highly cohesive work teams that guarantee safe and high-quality care. Clinical simulation has become established as a pedagogical strategy capable of promotin...

The study addresses the direct and indirect relationship of group cohesion and productivity norm with the perceived performance effectiveness (plan and current tasks implementation and performance success in challenging conditions) and social effecti...

Community detection is an important task in the analysis of biological, social or technical networks. We survey different models of cohesive graphs, commonly referred to as clique relaxations, that are used in the detection of network communities. Fo...

Accurately modeling and representing the collective dynamics of large-scale robotic systems remains one of the fundamental challenges in swarm robotics. Within the context of agricultural robotics, swarm-based coordination schemes enable scalable and...

We present the Group Cohesion and Emotion (GCE) dataset, which comprises 1029 segmented films sourced from YouTube. These videos encompass a range of interactions, including interviews, meetings, informal discussions, and other similar contexts. In t...

Distributed stream processing engines (DSPEs) deploy multiple tasks on distributed servers to process data streams in real time. Many DSPEs have provided locality-aware stream partitioning (LSP) methods to reduce network communication costs. However,...

This study explores the phenomena of personal growth under stress and investigates the mediating effect of leadership and four elements of group cohesion (social, task, norm, and psychological). Data were collected at the beginning and end of mandato...

Detection of the extent of common values in a cohesive space crew has become an important trend in modern space psychology. It is known from the works of Ch. Osgood that the semantic differential scale is a reliable way to obtain objective informatio...

With the development of intelligent technology, multi-agent systems have been widely applied in military and civilian fields. Compared to a single platform, multi-agent systems can complete more dangerous, difficult, and heavy tasks. However, due to...

Shared leadership is a dynamic phenomenon that has gained attention in behavioral science and management research over the last two decades. Network modeling is frequently employed to study this phenomenon, with the recent literature favoring a node-...

Structural adhesives play an important role in aerospace manufacturing, since they provide fewer points of stress concentration compared to faster joints. The importance of adhesives in aerospace is increasing significantly because composites are bei...

The diversity of multicultural, multi-religious, and multi-ethnic groups and communities within Britain has created cohesion and integration challenges for different community groups and authorities to adapt to the current diverse society. More recen...

Compulsory basic military training is characterized not only by being challenging but also by being stressful. Assuming a high frequency of perceived stress events as a negative outcome of training, this article provides evidence on how the perceived...

In recent years, especially during and after the COVID-19 pandemic, the use of mobile applications (apps) has become common in all areas of life for carrying out tasks, facilitating communication, and completing work. Education has been one of the mo...

Encapsulation of pharmaceutical powders within thin functional polymer films is a powerful and versatile method to modify drug release properties. Conformal coating over the complete surface of the particle via chemical vapor deposition techniques is...

The present study emphasizes the indirect influences of coworker helping behavior on emotional exhaustion through psychological availability and the moderating role of perceived task demands on a daily basis. Using a two-wave experience sampling meth...

Performance analysis is an essential task in high-performance computing (HPC) systems, and it is applied for different purposes, such as anomaly detection, optimal resource allocation, and budget planning. HPC monitoring tasks generate a huge number...

Typically, textual information is available as unstructured data, which require processing so that data mining algorithms can handle such data; this processing is known as the pre-processing step in the overall text mining process. This paper aims at...

In this paper, we present a novel coordinated method tailored to address the dynamic multi-target hunting control problem in multi-agent systems, offering significant practical value. Our approach encompasses several key components: initially, we int...

Measuring multidimensional social progress in the European Union (EU) is a challenging task but important for addressing strengths and weaknesses in the non-economic dimensions of social development that complement other progress indicators. The aim...

Recently, the demand for remote sensing image retrieval is growing and attracting the interest of many researchers because of the increasing number of remote sensing images. Hashing, as a method of retrieving images, has been widely applied to remote...

Ontology merging is an important task in ontology engineering to date. However, despite the efforts devoted to ontology merging, the incorporation of relevant features of ontologies such as axioms, individuals and annotations in the output ontologies...

Formation flying of multiple unmanned aerial vehicles (UAVs) has attracted much attention for its versatility in cooperative tasks. In this paper, a distributed formation planning method is proposed for UAVs. First, we design a path searching algorit...

We investigated narcissism in a naturalistic social context. Specifically, we examined how individuals high in admirative and rivalrous narcissism are perceived in team dynamics. Participants (n = 101) worked in small teams (k = 23 teams) during esca...

This study explores the influence of team communication (TC) and shared mental models (SMMs) on entrepreneurial team efficacy (ETE) within the context of Chinese higher education, introducing a dual-path model to reconcile the discrepancy between pol...

Background: Awareness of physical activity guidelines are low, particularly the “forgotten guidelines” of strength and balance. Increasing awareness of guidelines, but also of appropriate local services that can be utilised, is an importa...

Few-shot classification aims to generalize from very limited samples, providing an effective solution for data-scarce scenarios. From a symmetry viewpoint, an ideal Few-Shot classifier should be invariant to class permutations and treat support and q...

Machine translation (MT) is being used by millions of people daily, and therefore evaluating the quality of such systems is an important task. While human expert evaluation of MT output remains the most accurate method, it is not scalable by any mean...

Background: A narrative requires the integration and management of linguistic and cognitive skills. It has been observed that children with Developmental Language Disorder (DLD) have difficulties in narrating stories. This research proposes an interv...

Humans create teams to be more successful in a large variety of tasks. Groups are characterized by an emergent property called collective intelligence, which leads them to be smarter than single individuals. Previous studies proved that collective in...

Microservice is a popular architecture for developing cloud-native applications. However, decomposing a monolithic application into microservices remains a challenging task. This complexity arises from the need to account for factors such as componen...

The aim of this study is to identify the factors contributing to psychosocial risks (PSR) and the specific resources available within an Army Medical Center (AMC), with a view to developing a questionnaire adapted to this unique context. A qualitativ...

This study analyzes the differential efficacy of a multimodal versus pharmacological intervention in isolation to improve the social climate (school and family) and the performance in mathematics of a sample of 20 children with ADHD aged 7 to 9 years...

Simulation of fracture in fiber-reinforced plastics (FRP) and hybrid composites is a challenging task. This paper investigates the potential of combining the extended finite element method (xFEM) and cohesive zone method (CZM), available through LS-D...

In health monitoring systems for the elderly, a crucial aspect is unobtrusively and continuously monitoring their activities to detect potentially hazardous incidents such as sudden falls as soon as they occur. However, the effectiveness of current n...

Presently, social cohesion (SC) is a priority at different levels. Cultural heritage is an ideal context to promote SC through interactive digital technologies designed to engage groups of visitors. The purpose of the present study is to identify how...

Adapting Large Language Models (LLMs) to specialized domains like geriatric care remains a significant challenge due to the limited availability of domain-specific data and the difficulty of achieving efficient yet effective fine-tuning. Current meth...

Scarcely explored, intergenerational dialogue may support the re-encounter between generations. Background: Focused on intergenerational sharing and on the identification of differences between generations, the project #GenerationsWithAVoice aims to...

Design thinking (DT) emerged as a popular method of problem solving and idea generation in creative teams. However, despite the rapid increase in interest in DT as a practical tool, evidence for its effectiveness is rather scarce. Furthermore, neithe...

There has been a constant advance of the labour markets and permanent reorientation towards digital Industry 4.0. Yet, the environments for learning remain unchallenged when it comes to the provision of new professionals across the globe. Therefore,...

Floating photovoltaic systems represent a promising solution for renewable energy generation, offering an alternative to agricultural land consumption. However, these installations have the potential to exert an effect on the aquatic ecosystem, empha...

The influence of background ultrasonic field on the ultimate dynamic strength of adhesive joints is studied using fracture mechanics analysis. Winkler foundation-type models are applied to describe the cohesion zone, and the incubation time fracture...

Bringing together a Riemannian geometry account of visual space with a complementary account of human movement synergies we present a neurally-feasible computational formulation of visuomotor task performance. This cohesive geometric theory addresses...