Search Results (7,008)

Organizational culture is widely recognized as an important contextual factor shaping career development and long-term human resource sustainability. Although prior research has examined organizational culture, career development, and sustainable HRM, these constructs have often been studied separately and predominantly within Western contexts. This study addresses this gap by analyzing their interrelationships within a transitional economy. Grounded in sustainable human resource management and sustainable careers perspectives, the study examines how organizational culture typologies influence career development and HR sustainability. Career development is operationalized through organizational career growth and career competences. Survey data were collected from 542 employees across 23 IT and manufacturing companies in Serbia and analyzed using factor analysis and multiple regression. The findings show that organizational culture significantly shapes career growth opportunities and career competences and is also directly related to HR sustainability. Person-oriented cultures are associated with more favorable career development conditions and higher levels of HR sustainability, while power- and role-oriented cultures are linked to weaker outcomes. Career growth and career competences further emerge as key mechanisms supporting long-term workforce sustainability. This study contributes to the literature by integrating organizational culture, career development, and HR sustainability into a single analytical framework within a transitional economy context and provides practical insights for managers aiming to foster sustainable careers and long-term HR sustainability. Full article

Background/Objectives: This study examines prisoners’ quality of life by investigating which aspects of imprisonment conditions—including perceptions of the physical environment—best predict overall satisfaction with the prison (OSP). A key question is whether the staff–prisoner relationship is the single most important dimension, which is frequently emphasized in the literature but has scarcely been tested quantitatively. Methods: Data stemmed from a survey conducted in three closed prisons in Norway in 2022 (response rate: 63%, n = 163). The dependent variable was assessed by asking: “Generally speaking, on a scale from 1 to 10, how satisfied are you with this prison?” This outcome was regressed on seven subscales from the Prison Climate Questionnaire and four single-item measures of the physical environment that have been shown to influence health and well-being. Results: As expected, the quality of staff–prisoner relationships had a unique statistical impact on OSP. Ratings of the outdoor areas and the view from the cell were about equally strong predictors. No statistically independent effects were observed for perceived quality of relationships with fellow prisoners, reintegration measures, receiving visits, personal safety, autonomy, access to natural light and a global rating of the prison building (noise, temperature, layout, etc.). Conclusions: This study further emphasizes the importance of staff–prisoner relationships in shaping prisoners’ experiences and perceptions of imprisonment. Moreover, it provides new insights into the significance of the physical environment for prisoners’ overall perceptions of prison quality, which is likely to affect their mental health and well-being. These findings have potential implications for the design and siting of new correctional facilities and for improving the quality of existing ones. Full article

Education 4.0 and digital learning have led to a technology-driven transformation in educational methodologies and the roles of teachers, primarily at Higher Education Institutions (HEIs). From an educational standpoint, the extant literature on Education 4.0 highlights its technological features and benefits; however, there is a lack of studies that assess its impact on students’ learning outcomes. Seemingly, Education 4.0 features are taken for granted, as if the technology in itself were enough to guarantee students’ learning, self-efficacy, and engagement. Seeking to address this lack, this study describes the implications of tailoring Education 4.0 tenets and digital learning in an engineering curriculum. Four case studies conducted in the last four years with 119 students are presented, in which technologies such as digital twins, a Modular Production System (MPS), low-cost robotics, 3D printing, generative AI, machine learning, and mobile learning were integrated. With these case studies, an educational methodology with active learning, hands-on activities, and continuous teacher support was designed and deployed to foster cognitive and affective learning outcomes. A mixed-methods study was conducted, utilizing students’ grades, surveys, and semi-structured interviews to assess the approach’s impact. The outcomes suggest that including Education 4.0 tenets and digital learning can enhance discipline-based skills, creativity, self-efficacy, collaboration, and self-directed learning. These results were obtained not only via the technological features but also through the incorporation of reflective teaching that provided several educational resources and oriented the methodology for students’ learning and engagement. The results of this study can help complement the concept of Education 4.0, helping to find a student-centered approach and conceiving a balance between technology, teaching practices, and cognitive and affective learning outcomes. Full article

Unsafe behaviors at construction sites often originate from cognitive failures such as lapses in memory and attention. This study proposes a novel, hybrid framework to systematically identify and predict the key contributors of cognitive failures among construction workers. First, a detailed literature review was conducted to identify 30 candidate factors related to cognitive failures and unsafe behaviors at construction sites. Thereafter, 10 construction safety experts ranked these factors to prioritize the most influential variables. A questionnaire was then developed and field surveys were conducted across various construction sites. A total of 500 valid responses were collected from construction workers involved in residential, highway, and dam projects in Pakistan. The collected data was first analyzed using conventional statistical analysis techniques like correlation analysis followed by multiple linear and binary logistic regression to estimate factor effects on cognitive failure outcomes. Thereafter, machine-learning models (including support vector machine, random forest, and gradient boosting) were implemented to enable a more robust prediction of cognitive failures. The findings consistently identified fatigue and stress as the strongest predictors of cognitive failures. These results extend unsafe behavior frameworks by highlighting the significant factors influencing cognitive failures. Moreover, the findings also imply the importance of targeted interventions, including fatigue management, structured training, and evidence-based stress reduction, to improve safety conditions at construction sites. Full article

Contemporary design of medical and therapeutic facilities increasingly recognizes that healing outcomes are influenced not only by functional performance but also by spatial experience, sensory perception, and atmospheric qualities of the built environment. Within this context, courtyards represent a recurrent architectural element in healthcare settings, historically associated with access to nature, daylight, ventilation, and social interaction. Beyond their utilitarian role, courtyards can operate as multisensory environments that support psychological regulation, emotional restoration, and physical well-being. This study investigates the therapeutic courtyard as a spatial component situated at the intersection of functional requirements and phenomenological experience in healing architecture. Rather than aiming to demonstrate universal applicability, the research seeks to identify and structure the key functional and phenomenological attributes that contribute to the restorative potential of courtyard spaces in healthcare environments. The study combines a structured literature review with an exploratory, perception-oriented survey based on conceptual courtyard scenarios. The research explicitly focuses on key spatial parameters of therapeutic courtyard design, including access to daylight, ventilation and microclimate, contact with nature, accessibility and orientation, social integration, opportunities for activity and recreation, possibilities for isolation and safety, adaptability and multifunctionality, as well as aesthetic and symbolic qualities. By translating theoretical insights into practical design considerations, the study contributes to the development of human-centered strategies for contemporary healing architecture. Full article

Engineering is suffering a significant change driven by the integration of artificial intelligence (AI) into engineering optimization in design, analysis, and operational efficiency across numerous disciplines. This review synthesizes the current landscape of AI-driven optimization methodologies and their impacts on engineering applications. In the literature, several frameworks for AI-based engineering optimization have been identified: (1) machine learning models are trained as objective and constraint functions for optimization problems; (2) machine learning techniques are used to improve the efficiency of optimization algorithms; (3) neural networks approximate complex simulation models such as finite element analysis (FEA) and computational fluid dynamics (CFD) and this makes it possible to optimize complex engineering systems; and (4) machine learning predicts design parameters/initial solutions that are subsequently optimized. Fundamental AI technologies, such as artificial neural networks and deep learning, are examined in this paper, along with commonly used AI-assisted optimization strategies. Representative applications of AI-driven engineering optimization have been surveyed in this paper across multiple fields, including mechanical and aerospace engineering, civil engineering, electrical and computer engineering, chemical and materials engineering, energy and management. These studies demonstrate how AI enables significant improvements in computational modelling, predictive analytics, and generative design while effectively handling complex multi-objective constraints. Despite these advancements, challenges remain in areas such as data quality, model interpretability, and computational cost, particularly in real-time environments. Through a systematic analysis of recent case studies and emerging trends, this paper provides a critical assessment of the state of the art and identifies promising research directions, including physics-informed neural networks, digital twins, and human–AI collaborative optimization frameworks. The findings highlight AI’s potential to redefine engineering optimization paradigms, while emphasizing the need for robust, scalable, and ethically aligned implementations. Full article

Spermatogenesis is a tightly coordinated differentiation program that sustains male fertility while transmitting genetic and epigenetic information to the next generation. This review consolidates mechanistic evidence showing how RNA-centered regulation integrates with the epitranscriptome and three-dimensional (3D) genome architecture to orchestrate germ-cell fate transitions from spermatogonial stem cells through meiosis and spermiogenesis. Recent literature is critically surveyed and synthesized, with particular emphasis on human and primate data and on stage-resolved maps generated by single-cell and multi-omics technologies. Collectively, available studies support a layered regulatory model in which RNA-binding proteins and RNA modifications coordinate transcript processing, storage, translation, and decay; small and long noncoding RNAs shape post-transcriptional programs and transposon defense; and dynamic chromatin remodeling and 3D reconfiguration align transcriptional competence with recombination, sex-chromosome silencing, and genome packaging. Convergent nodes implicated in spermatogenic failure are highlighted, including defects in RNA metabolism, piRNA pathway integrity, epigenetic reprogramming, and nuclear architecture, and the potential of these frameworks to refine molecular phenotyping in male infertility is discussed. Finally, key gaps and priorities for causal testing in spatially informed, stage-specific experimental systems are outlined. Full article

Microwave sensing technology is rapidly advancing and increasingly finding its way into biomedical applications, promising significant improvements for medical care. Concurrently, the rise of artificial intelligence (AI) is enabling significant enhancements in the biomedical domain. Close scrutiny of the recent literature reveals intense activity in both fields, with particularly impactful outcomes deriving from the combined use of advanced microwave techniques and AI for biomedical monitoring. In this review, an up-to-date compilation, from the perspective of the authors, of the most significant works published on these topics in recent years is given, focusing on their integration and current challenges. With the objective of analyzing the current landscape, we survey and compare state-of-the-art biosensors and imaging systems at all healthcare levels, from outpatient contexts to specialized medical equipment and laboratory analysis tools. We also delve into the relevant applications of AI in medicine for processing microwave-derived data. As our core focus, we analyze the synergistic integration of AI in the design of microwave devices and the processing of the acquired data, which have shown notable performances, opening new avenues for compact, affordable, and multi-functional medical devices. We conclude by synthesizing the prevailing technical, algorithmic, and translational challenges that must be addressed to realize this potential. Full article

In the face of escalating environmental crises, sustainable development is becoming one of the key global challenges. A growing body of research indicates that transitioning to plant-based diets, including a vegan diet, can significantly improve environmental sustainability. Young people from Generation Z play a crucial role in shaping future consumption patterns, and their beliefs and attitudes toward sustainable food may serve as an important indicator of social changes in the area of nutrition and the potential for implementing pro-ecological practices. The aim of the study is to assess students’ perceptual attitudes toward plant-based products, which constitute an integral part of vegan diets, addressing a significant gap in the literature on sustainable consumption among Generation Z in emerging economies. The study allows for the identification of the main sources of information, psychosocial barriers, and motivational factors underlying the adoption of a vegan diet, situating them within sustainable development paradigms. The research group consisted of 263 university students in Warsaw (Poland). A CAWI survey method was used, with a proprietary questionnaire. The study shows that more than 60% of respondents were not interested in this dietary option, and a similar proportion did not expect to adopt veganism in the future. Students’ attitudes toward the vegan diet are shaped primarily by their self-assessment of nutritional knowledge, previous experiences with plant-based diets, and socio-cultural factors. Although many respondents recognize the health and environmental benefits of a plant-based diet, the lack of reliable knowledge, concerns about deficiencies, higher product costs, and social pressure remain key barriers limiting their willingness to change eating habits. From a practical perspective, the findings highlight the need to develop nutrition education focused on the competencies required to properly balance plant-based diets, to increase the economic and sensory accessibility of vegan food, and to counteract persistent stereotypes and misconceptions about veganism, especially on social media, which is the main source of information for this age group. Full article

This article examines the subject of SME failures due to financial distress in emerging economies by focusing on Uganda as a case study. It adopts a convergent doctrinal and empirical approach, drawing on existing black letter law and literature alongside some of the empirical data obtained from a survey of SME business owners impacted by financial distress, a survey of accredited insolvency practitioners and exchanges from a stakeholder workshop on SME insolvencies in Uganda. The article examines existing legal, regulatory and procedural frameworks on corporate rescue and the identified gaps exacerbating SME failures in unpacking why, despite the availability of these frameworks, business rescue as the policy objective of Uganda’s insolvency law has yet to be fully achieved. The article devises a recommended toolkit that if adopted, may guide the approaches needed to improve SME rescue, and meet legal and statutory objectives of Uganda’s insolvency frameworks to enhance economic stability. Full article

Optical frames are used worldwide to correct visual impairments, protect from UV damage, or simply for fashion purposes. Optical frames are often made of poorly biodegradable and fossil-based materials, with designs not targeted to everyone’s tastes and requirements. Additive manufacturing processes allow personalisation of optical frames and the use of new sustainable biomaterials to replace fossil-based ones. This comprehensive review combines an extensive survey of the scientific literature, market trends, and information from other relevant sources, analysing the biomaterials currently used in additive manufacturing and identifying biomaterials (biopolymers, natural fibres, and natural additives) with the potential to be developed into biocomposites for printing optical frames. Requirements for optical devices were carefully considered, such as standards, regulations, and demands for manufacturing materials. By comparing with fossil-based analogues and by discussing the chemical, physical, and mechanical properties of each biomaterial, it was found that combining various materials in biocomposites is promising for achieving the desirable properties for printing optical frames. The advantages of the various techniques of this cutting-edge technology were also analysed and discussed for optical industry applications. This study aims to answer the central research question: which biopolymers and biocomposite constituents (natural fibres, plasticisers, and additives) have the ideal mechanical, thermal, physical, and chemical properties for combining into a biomaterial suitable for producing sustainable, customisable, and inclusive optical frames on demand, using additive manufacturing techniques. Full article

(1) Background: Information and Communication Technology (ICT) integration in secondary education remains a critical challenge despite substantial investments in teacher training and infrastructure. This study investigated ICT certification levels, implementation patterns, and barriers among Greek secondary school teachers to understand the disconnect between policy aspirations and classroom realities. (2) Methods: A quantitative cross-sectional survey design was employed with 108 secondary teachers (61.1% female; mean age 47.3 years; 70.4% with >10 years’ experience) in the Prefecture of Ilia, Greece (response rate: 87.7%). Participants were permanent secondary school teachers employed in public schools during the 2021–2022 academic year; substitute teachers and private school staff were excluded. A three-section structured questionnaire was developed through literature review, expert validation (n = 3), and pilot testing (n = 10). Section A assessed demographics (5 items), Section B measured perceived barriers using a 7-item Likert scale, and Section C assessed implementation practices using a 10-item frequency scale (Cronbach’s α = 0.942). Data were analyzed using descriptive statistics, Mann–Whitney U tests, Kruskal–Wallis tests, and correlation analyses. (3) Results: While 74.1% of teachers held Level A certification, only 25.9% achieved Level B, with overall implementation remaining moderate (M = 2.92/5.00). Leadership support deficiency emerged as the primary barrier (76.9%), followed by inadequate technical support (74.1%). Younger teachers (24–35 years) demonstrated significantly higher ICT implementation than their older colleagues (56+ years), and teachers with less experience showed greater implementation frequency than veteran teachers—a finding that paradoxically challenges the “digital natives” assumption, given the barriers they face. Teachers preferred flexible Internet resources to formal educational software, indicating strategic adaptation to institutional constraints. Key limitations include convenience sampling, cross-sectional design, self-reported measures, and regional specificity. (4) Conclusions: The certification–implementation gap reveals that individual competencies cannot overcome unsupportive institutional environments. Effective ICT integration requires systemic transformation, encompassing leadership development, technical support, and structural reforms beyond traditional teacher training approaches. Full article

Machine learning has been widely applied to phase prediction and property evaluation in multi-principal element alloys. In this work, a data-driven machine learning framework is proposed to predict the ultimate tensile strength (UTS) and total elongation (TE) of Fe-Co-Cr-Ni-Mn-Al-Ti multi-principal element alloys (MPEAs), offering a cost-effective route for the design of new MPEAs. A dataset was compiled through an extensive literature survey, and six different machine learning models were benchmarked, from which XGBoost was ultimately selected as the optimal model. The feature set was constructed on the basis of theoretical considerations and experimental data reported in the literature, and SHAP analysis was employed to further elucidate the relative importance of individual features. By imposing constraints on the screened features, two alloys predicted to exhibit superior performance under different heat-treatment conditions were identified and fabricated for experimental validation. The experimental results confirmed the reliability of the model in predicting fracture strength, and the errors observed in ductility prediction were critically examined and discussed. Moreover, the strengthening mechanisms of the designed MPEAs were further explored in terms of microstructural characteristics and lattice distortion effects. The alloy design methodology developed in this study not only provides a theoretical basis for exploring unexplored compositional spaces and processing conditions in multi-principal element alloys, but also offers an effective tool for developing novel alloys that simultaneously achieve high strength and good ductility. Full article

It is imperative to continuously monitor public awareness, attitudes, and environmental actions to adjust policy to promote and support transition processes given the ongoing phenomenon of climate change. Insights into poorly investigated domains, such as rural areas, are particularly valuable in this context. Responding to this challenge, we aimed to diagnose the efforts in which individuals engage for the benefit of their local communities in rural areas of a selected region of Poland (Małopolskie Voivodeship) in the context of climate change and the energy transition. The study concerns a specific region, one with the most intensive deployment of climate and energy policy in Poland. It is also highly diversified in terms of the environment and population, from the densely urbanised Kraków Metropolitan Area to scattered rural areas where institutional resources are scarce. This diversity affects how local populations engage in climate and energy efforts. The study involves a literature review and an original 2024 survey among 300 people from five rural districts of Małopolskie Voivodeship selected to reflect the region’s diversity. The CAPI (Computer-Assisted Personal Interviewing) survey sample was built with chain referral. The in-depth analyses were performed in IBM SPSS, v.25. We employed statistical analyses, including one-way ANOVA to assess between-group variance, χ2 tests, Sidak tests, and Fisher’s tests. The results show that most respondents recognised an association between energy and climate, but the awareness is fragmented and varied. These conclusions call for amplifying environmental awareness, particularly regarding energy transition. We have also confirmed a significant spatial diversification of environmental attitudes and practices among the public regarding the energy transition. It has been confirmed by all indicators, from the state of the environment to the perceived agency to the structure of home heating systems. Additionally, the importance of local governments in pro-climate activities was indicated. This is particularly important in the context of the ‘Anti-smog resolution for Małopolska’, which has been in force in the Małopolska Province since 2019 and plays a leading role in climate policy in the region. What is particularly important is that the vast majority of respondents from all districts declared their support for these changes, for which local governments are responsible. Full article

As a neighborhood-scale derivative of the Business Improvement District (BID) model, the Neighborhood Business Improvement District (NBID) represents a collaborative governance framework aimed at fostering spontaneous urban regeneration. Its successful establishment critically depends on building consensus among diverse stakeholders during the preparatory phase. This study addresses a significant gap by investigating the psychological mechanisms that shape stakeholders’ willingness to engage in NBIDs prior to their formation. Employing an exploratory sequential mixed-methods approach, we conducted semi-structured interviews in the Tiyuan North Community (Tianjin) and the Yulin East Road Community (Chengdu). Insights from the qualitative phase informed a subsequent quantitative survey administered to 215 stakeholders in Tianjin. Data were analyzed using regression analysis and Structural Equation Modeling (SEM). The results reveal that stakeholders’ performance expectations and collaborative willingness are significantly influenced by three core confidence factors: “Confidence in Authority Support (AS)” (particularly “Confidence in Council Representation”), “Confidence in Organization Capability (OC)” (especially “Confidence in Coordination Ability”), and “Confidence in Multi-party Collaboration.” Crucially, “Confidence in Enabling collaboration (MC_3)” itself acts as a key mediator, translating institutional trust into performance expectations. This study contributes a novel “Confidence–Expectation” framework to the literature on collective action and offers practical, context-sensitive insights for designing collaborative community governance structures aimed at sustainable urban regeneration in China and beyond. Full article