2,636 Results Found

This study examines the effect of cross-level interaction between community physical environment and social capital among individuals on physical activity by considering gender difference. In this regard, we ask two research questions: (1) What is th...

Crowd counting estimates the number and spatial distribution of people in images and videos, supporting smart city management and public safety. Existing methods often rely on intra-level feature refinement and simple cross-scale fusion, such as conc...

Although graph convolutional networks have found application in polarimetric synthetic aperture radar (PolSAR) image classification tasks, the available approaches cannot operate on multiple graphs, which hinders their potential to generalize effecti...

Workaholics generally allocate an excessive amount of time and energy to their work at the expense of having time for recovery from work. Nevertheless, a complete recovery is an essential prerequisite for well-being. This study examines the moderatin...

Pansharpening aims to reconstruct high-resolution multispectral (HRMS) images by integrating the spectral information of low-resolution multispectral (LRMS) images and the spatial details of panchromatic (PAN) images. Although deep learning-based met...

As the Chinese economy grows, Chinese people’s environmental behavior enormously affects the environment of neighboring countries as well as China. Many studies have related environmental behavior to personal characteristics such as environment...

The paper examines the development of different spatial plans to address flood resilience in the Chinese city of Guangzhou, one of the most vulnerable cities to flooding and climate change. The analysis focuses on the differences in planning procedur...

This study examines how the quality of corporate environmental information disclosure, jointly with governance structure characteristics, shapes the input–output efficiency of green innovation in Chinese A-share listed firms, and whether indust...

Preschool children’s high levels of sedentary time (ST) is a public health concern. As preschool reaches a large population of children from different socioeconomic status (SES) backgrounds, more knowledge on how the preschool setting is associ...

Ventilation for underground carparks is critical to indoor air quality (IAQ) due to carbon monoxide (CO) emissions from cars. The IAQ within a multi-level underground carpark of a shopping mall has been investigated using computational fluid dynamics...

Repeated dyadic interactions are characterized not only by average multimodal signal levels but also by how cross-modal consistency evolves over time. This study investigated whether the joint temporal organization of within-person face–body cr...

Adolescents with comparable personal risk factors may have different lipid profiles because of the school’s context. Lipid determinants in adolescents should be considered using a multilevel perspective. This multilevel study investigated the e...

The paramount value of image fusion is manifested in effectively enhancing downstream tasks. However, compatibility with subsequent tasks is compromised due to the semantic deficiency of fusion representations generated by current approaches. To miti...

This study aims to examine how organizational and family factors protect employees from depressive symptoms induced by work-family conflict. With a cross-sectional design, a total of 2184 Chinese employees from 76 departments completed measures of wo...

The energy levels arising from the electronic orbital $5p-4f$ crossing between the ground $5p^{2}4f$ and excited $5p4f^2$ configurations in the Nd${}^{9+}$ ion are investigated by using high-accuracy relativistic ab initio calculations. The accurate atomic data...

Background: Irritable bowel syndrome (IBS) is a chronic disorder of brain–gut interaction closely linked to psychological stress and highly prevalent among university student populations, yet data from Bahrain remain scarce. This study estimate...

Deep learning approaches for egocentric video understanding often lack a principled theoretical treatment of stability, particularly when dealing with the sparse, noisy, and temporally ambiguous observations characteristic of first-person imaging. In...

The shaping of employees’ innovativeness is an important way of building a sustainable organization. Therefore, in order to have a sustainable police organization, the innovativeness of the police must be established in order to achieve the objective...

Ship image classification identifies the type of ships in an input image, which plays a significant role in the marine field. To enhance the ship classification performance, various research focuses on studying multi-modal ship classification, which...

This paper examines the moral community thesis in the secular context of China. Using multilevel logistic regression, we test (1) whether both individual- (measured by affiliation with Islam, Buddhism and Christianity) and aggregate-level religiosity...

The present paper builds on previous research exploring the relationship between the need for cognitive closure (NCC) and employees’ compliance with harsh social power to propose a moderating role of perceived tightness within a work unit in or...

Resilience thinking has strongly influenced how people understand and pursue sustainability of linked social-ecological systems. Resilience thinking highlights the need to build capacity and manage general system properties in a complex, constantly c...

This study examines factors associated with the physical health of Korea’s growing immigrant population. Specifically, it focuses on the associations between ethnic networks, community social capital, and self-rated health (SRH) among female marriage...

Both individual demands (i.e., workload) and organizational demands and resources (i.e., production pressure and safety climates) may affect the likelihood that employees undertake risky safety behaviors in different ways. Adopting an organizational...

Guanxi, a Chinese term that defines social networks of power and benefits, can be divided into inter-personal and inter-organizational relationships. Guanxi significantly influences construction innovation in China. Many studies have examined the rel...

RNA has emerged as a critical drug target, and accurate prediction of its binding affinity with small molecules is essential for the design and screening of RNA-targeted therapeutics. Although current deep learning methods have achieved progress in p...

Pre-trained visual language models have become excellent basic models for many downstream tasks in transfer learning. However, due to the serious gap between the data scale of downstream tasks and the large-scale data used by pre-trained models, migr...

The Seoul Eco-mileage Program is a representative project of the One Less Nuclear Power Plant (OLNPP) scheme, which addresses the energy transition policy of Seoul aiming to reduce CO₂ emissions. Unlike other governmental projects, the success of thi...

Globalization and urbanization have reshaped the way that service ecosystem subjects interact with each other in rural communities, providing conditions and possibilities for realizing value co-creation in rural communities. Therefore, this study sel...

Trust has been identified as a central characteristic of successful natural resource management (NRM), particularly in the context of implementing participatory approaches to stakeholder engagement. Trust is, however, a multi-dimensional and multi-le...

Despite extensive scholarly attention, the exploration of individual-level determinants of news media trust still offers substantial room for further research, particularly from non-Western perspectives. This article moves beyond traditional politica...

Internet influences our communication, social and work interactions, entertainment, and many other aspects of life. Even if the original purpose was to simplify our lives, an excessive and/or maladaptive use of it may have negative consequences. The...

Fusing synthetic aperture radar (SAR) and multispectral (MS) imagery for semantic segmentation remains challenging because of cross-modal semantic discrepancies, cloud-induced contamination, incomplete integration of complementary details, and the lo...

A substantial body of research, based largely on North American and European contexts, demonstrates that social networks play a critical role in protecting and promoting mental, as well as physical, health. The purpose of this study is to examine how...

The main goal of this paper is to investigate whether some dimensions of civic and religious social capital are connected to antisocial attitudes of the youth. Based on the social capital theory and previous research, the author assumed that membersh...

Infrared small target detection (IRSTD) is a fundamental task in remote sensing-based surveillance and early warning systems. However, extremely small target size, low signal-to-noise ratio, and complex background clutter make reliable detection high...

The acquisition of new vocabulary is usually mediated by previous experience with language. In the visual domain, the representation of orthographically unfamiliar words at the phonological or conceptual levels may facilitate their orthographic learn...

Family socioeconomic status (SES) differences in early childhood development (ECD) are well documented, as are the neighborhood effects in early development outcomes. However, little is known about whether the SES gradient in ECD outcomes varies acro...

Bodily self-consciousness (BSC), a subject of interdisciplinary interest, refers to the awareness of one’s bodily states. Previous studies have noted the existence of individual differences in BSC, while neglecting the underlying factors and ne...

Most innovation activities that are inevitable for sustainable growth are coordinated via research and development (R&D) projects, which can differ widely in terms of both project and open innovation characteristics, even when conducted within th...

Bidirectional P3–P4 fusion continuously connects high-resolution features with semantic information from the adjacent level, providing cross-level information for small object detection. The channel kernels in the two directions adapt to their...

It is now generally accepted that spatially-based neighborhood or contextual attributes influence individual behaviors. However, studies of contextual effects often operationalize “neighborhoods” as static, single-level administrative units that are...

Incivility is a growing concern for researchers and practitioners alike, yet we know little about how the team context is related to the way that employees respond to it. In this study, we examined the role of team mindfulness and its direct and buff...

Unmanned Aerial Vehicle (UAV)-based small object detection is a challenging computer vision task. It is constrained by two primary factors: UAV platforms have limited onboard computational resources, and high-altitude objects often have weak features...

Vienna is widely recognised as an example of urban sustainability, crowned as one of the most liveable cities worldwide by several quality of life rankings. Despite being highly committed to incorporating the ecological and social dimension into its...

The relationship between self-rated personality and nonverbal intelligence has been studied in young students, but these studies have generally not considered nested data, despite their allowing us to analyse between-classroom variability. The presen...

This study aimed to test the association of contextual and individual socioeconomic status with tooth loss among Brazilian elderly people aged 65–74 years. Data from 5435 elderly participants from the Brazilian National Oral Health Survey (2010...

Employees in female-dominated sectors are exposed to high workloads, emotional job demands, and role ambiguity, and often have insufficient resources to deal with these demands. This imbalance causes strain, threatening employees’ work ability. The a...

UAVs are essential for forest fire detection due to vast forest areas and inaccessibility of high-risk zones, enabling rapid long-range inspection and detailed close-range surveillance. However, aerial photography faces challenges like multi-scale ta...

Automated fracture detection remains challenging because fracture regions often exhibit low contrast, blurred boundaries, large scale variations, and substantial morphological diversity. Although deep learning-based detectors show promising performan...