Search Results (12,494)

The accelerating integration of electric vehicles (EVs) presents considerable operational challenges for distribution networks, particularly through aggravated voltage deviations and compromised protection coordination during periods of simultaneous charging. In response, this study introduces a novel protection-constrained Binary Evolutionary Algorithm (BEA) designed for expedited electric vehicle-oriented Distribution Network Reconfiguration (DNR) to enhance EV hosting capacity without necessitating costly infrastructure upgrades. The proposed framework uniquely embeds the inverse time–current characteristics of protective fuses—termed Protection Curve Consideration (PCC)—within the optimization process. By explicitly accounting for the thermal inertia of protection devices, the algorithm identifies reconfiguration strategies that uphold voltage stability under elevated EV transportation loading, including configurations typically deemed infeasible by conventional voltage-driven approaches. This selective coordination precludes unnecessary fuse operations, thereby preserving the continuity of electric vehicle charging services. Simulation results on a 16-bus radial distribution system, evaluated under four high-demand scenarios reflective of concentrated EV transportation charging, validate the efficacy of the BEA-PCC methodology. The approach achieves a maximum voltage deviation reduction of up to 15.2%, thereby enhancing power quality for all consumers. Moreover, compared to standard metaheuristic techniques, it reduces Energy Not Supplied (ENS) by 8% and switching operations by 20%, contributing to improved grid resilience and operational efficiency. These outcomes underscore the potential of BEA-PCC as an effective real-time control strategy for distribution system operators seeking to accommodate increasing electric vehicle penetration while safeguarding protection coordination and minimizing customer disruptions. Full article

As secondary educational environments face increasing volatility due to systemic resource constraints and pedagogical uncertainty, understanding the behavioral mechanisms of teacher agency has become paramount. While traditional teacher education has emphasized the execution of standardized curricula, the current era demands a fundamental shift toward adaptive expertise and psychological resilience. This study investigates the processes by which 28 secondary pre-service physical education teachers (PSTs) navigate instructional resource deficits through the lens of adaptive behavior (bricolage) and ecological teacher agency. Utilizing a qualitative case study design, I collected data from two universities in Seoul, South Korea, through reflective journals, revised lesson plans, and micro-teaching video analysis reports over a full 15-week semester. The results identified five coordinates of an adaptive instructional design compass: (1) Facing Constraints, (2) Resource Mining, (3) Contextual Engineering, (4) Simulation, and (5) Reflective Participation. These coordinates represent a transformative behavioral process where PSTs convert environmental deficits into professional assets. The findings reveal distinct adaptation styles based on psychological dispositions: the analytically oriented group (Group A) prioritized structural redesign through digital tools, while the narratively oriented group (Group B) utilized human-centric somatic metaphors and virtual rehearsals to bridge the epistemic void. Crucially, this research suggests that teacher adaptation is not a mere technical adjustment but a dynamic behavioral achievement of agency that ensures the long-term instructional quality of physical education. I propose that teacher education programs should incorporate “Safe Deficit” simulations—carefully calibrated instructional constraints—to trigger adaptive behavior and ensure that future educators can thrive in unpredictable pedagogical contexts without the risk of professional burnout. Full article

Background: Mental health needs are rising globally, while workforce shortages constrain access to timely care. Israel launched formal training for Psychiatric–Mental Health Nurse Practitioners (PMHNPs) in 2023 as part of broader efforts to strengthen the public mental health system. This narrative review provides a focused synthesis of international and Israeli literature on PMHNP roles, models of practice, outcomes, and implementation considerations relevant to the Israeli context. Methods: We conducted a narrative, non-systematic literature review of international and Israeli literature on Psychiatric–Mental Health Nurse Practitioners (PMHNPs). Searches were conducted in PubMed/MEDLINE, CINAHL, PsycINFO, and Scopus (January 2000–December 2024), alongside targeted policy and regulatory documents. Eligible sources addressed NP/PMHNP roles, scope of practice, clinical and service outcomes, implementation processes, workforce implications, or policy considerations in high-income health systems. Findings were synthesized thematically. Results: Across the reviewed literature, particularly in primary care and community-based settings, PMHNP/NP-delivered care was generally associated with comparable outcomes on selected quality and safety indicators, alongside improved accessibility, continuity, and high patient satisfaction. Successful implementation depended on regulatory clarity, organizational readiness, interprofessional collaboration, and the development of a clear professional identity. In Israel, the role is emerging within a cautious regulatory framework and may face early barriers related to role ambiguity, variable organizational support, and limited stakeholder awareness. Conclusions: PMHNP implementation may offer an important strategy for strengthening mental health service capacity in Israel. However, the extent of its contribution will depend on regulatory clarity, organizational support, implementation quality, and future empirical evaluation in the Israeli context. Full article

Background/Objectives: Emergency Services (ESs) are highly demanding clinical settings where Nursing Practice Environments (NPEs) play a critical role in shaping professional- and care-related outcomes. International evidence suggests that unfavorable NPEs are associated with reduced job satisfaction, compromised care quality, and increased safety risks. This study aimed to describe NPEs and selected professional and care-related outcomes among ESs nurses in Portugal in 2018 and 2022. Methods: A descriptive, cross-sectional study was conducted using data from two national surveys of ESs nurses collected in 2018 (n = 390) and 2022 (n = 434). Data were collected through an online questionnaire including the Practice Environment Scale of the Nursing Work Index (PES-NWI), measures of job satisfaction, intention to leave, perceived quality and safety of care, safety culture, incident occurrence, and missed nursing care. Descriptive statistics were used to summarize results across both samples. Results: NPEs were predominantly classified as unfavorable in both samples, with around 70% of nurses working in unfavorable environments. The most compromised dimensions were staffing and resource adequacy, nurses’ participation in hospital affairs, and nurse manager ability, leadership, and support of nurses. Job satisfaction was low in both samples, and a high proportion of nurses reported an intention to leave the organization. Differences were observed between samples in perceived quality and safety of care, incident occurrence, and missed nursing care, particularly in relational and autonomous interventions. Collegial nurse–physician relations emerged as the only favorable dimension in both samples. Conclusions: The findings indicate that NPEs in Portuguese ESs were predominantly unfavorable in both study periods, reflecting structural and organizational challenges. These findings may be associated with nurses’ professional outcomes and perceived care quality and safety, highlighting the importance of targeted organizational interventions to improve practice environments. Full article

Background/Objectives: Midwifery workforce sustainability faces critical challenges including high burnout and turnover rates threating the service quality and the maternal health outcomes. While self-leadership and self-compassion represent promising psychological resources, their roles relative to organizational factors remain underexplored. This study examined associations between self-leadership, self-compassion, and workforce outcomes (job satisfaction, turnover intention, performance) among Turkish midwives. Methods: A cross-sectional survey was conducted with 346 midwives working in diverse healthcare settings across Turkey from May 2021 to April 2022. Data were collected through an online self-report questionnaire using validated scales for self-leadership and self-compassion as well as measures of job satisfaction, turnover intention, and job performance, and including demographic and organizational items. Descriptive statistics, one-way ANOVA (with Eta-squared [η²] calculated to determine effect size), and correlation analyses were conducted, followed by hierarchical multiple regression and binary logistic regression to examine predictive relationships, with organizational factors entered before psychological resources. Results: Self-leadership and self-compassion demonstrated a moderate positive correlation (r = 0.342, p < 0.01). Self-leadership strongly predicted job performance (OR = 2.497, p = 0.001), particularly through natural reward strategies emphasizing intrinsic motivation (OR = 1.970, p < 0.001). However, neither psychological resource significantly predicted job satisfaction or turnover intention when organizational factors were included. Work schedule, healthcare setting, professional position, and income emerged as primary predictors of satisfaction and retention. Work experience predicted increased psychological distress (OR = 1.073, p = 0.003). Conclusions: Psychological resources demonstrate domain-specific effects on workforce outcomes in midwifery: self-leadership strategies strongly enhance job performance, whereas job satisfaction and turnover intention are influenced primarily by organizational conditions. These findings highlight the need for multi-level strategies to support the sustainability of the midwifery workforce. Full article

This study examines accessibility barriers experienced by individuals with disabilities in urban public transportation and analyzes how these barriers influence their travel behavior. Survey data were collected from 450 participants with different disability types in Alanya, Turkey, a tourism-oriented city characterized by pronounced seasonal mobility fluctuations. To ensure internal consistency and analytical robustness, the Analytic Hierarchy Process (AHP) was applied to prioritize seven accessibility criteria, and the consistency of pairwise comparisons was verified prior to analysis. Based on the AHP-derived weights, a composite accessibility-based Problem Severity Index (PSI) was constructed and integrated into regression models to quantify behavioral effects. The results show that the Problem Severity Index (PSI) is strongly associated with satisfaction (R² = 0.895), frequency of public transport use (R² = 0.924), and perceived travel difficulty (R² = 0.924), reflecting constrained mobility conditions and limited modal alternatives rather than improved service quality. Deficiencies in bus stop design and vehicle accessibility equipment were identified as the most influential barriers affecting public transport experience. Beyond the case study context, the proposed AHP–regression framework provides a structured analytical approach for evaluating accessibility performance and generating empirical evidence to inform inclusive and sustainable urban mobility planning. The findings offer empirical evidence on the relative importance of accessibility barriers and highlight critical infrastructure and service deficiencies. Rather than constituting a decision-support tool themselves, these results provide structured information that, when appropriately contextualized, can inform and guide transport authorities and urban planners in prioritizing accessibility improvements and enhancing inclusive public transport performance over time. Full article

Urban parks are vital for enhancing residents’ quality of life. With ongoing urban expansion, park visitation and quality expectations have risen, yet research on ecosystem disservices—i.e., the negative impacts of parks—remains limited compared with studies on ecosystem services. This study addresses this gap by investigating why residents may avoid parks, focusing on how negative perceptions vary across different park types. Through questionnaire surveys conducted in 68 parks across five categories in central Beijing, residents’ concerns were analyzed. Findings show significant differences among park type: users of small neighborhood parks emphasized internal noise, infrastructure, and cleanliness; while users of medium and large regional park users prioritized safety risks, followed by landscape and infrastructure issues. Users of historically significant parks raised concerns related to overcrowding and plant emissions, while those of special theme parks highlighted issues related to the cultural or natural atmosphere. Accordingly, park renovation should adopt type-specific strategies rather than uniform approaches. Drawing on successful Beijing cases, targeted improvements and a sustainable business operation model are proposed to address funding limitations. These results align with China’s park classification framework and offer insights for international urban park management, ultimately contributing to improved resident well-being and reduced urban inequality. Full article

To address the limitation of insufficient mechanical strength and short service life in biodegradable bamboo fiber mulch film (BFM) replacing plastic film in agriculture, this study applied a biochemical method to make bamboo fiber and used bacterial cellulose (BC) as a natural nanoscale reinforcing agent to fabricate high-performance bacterial cellulose bamboo fiber mulch film (BC-BFM). The physical and mechanical properties, chemical structure, seed germination and degradation behavior performance of BC-BFM were characterized. Results demonstrated the structural compactness and homogeneity of the BC-BFM were improved markedly with the increase in BC addition and BC formed a 3D nanofibrillar network that effectively bridged inter-fiber voids. The tensile, burst and tear indexes of BC-BFM all significantly rose with BC addition. Notably, compared to plastic film and BFM, BC-BFM exhibited a good effect on mung bean seed germination and the best growth speed was at 5% BC addition. Furthermore, the degradation test showed that the degradation rate of BC-BFM within 90 d was three times less than that of BFM and service life was similar to plastic film. This showed that it was a promising method to prepare biodegradable high-quality BFM through biochemical preparation of bamboo fiber and BC nanocellulose reinforcement. This method markedly enhanced the mechanical performance and durability of BC-BFM, providing a feasible technical path for the development of biodegradable high-performance green agricultural covering materials with long service life. Full article

Land subsidence and coseismic deformation can interact in groundwater-stressed sedimentary basins, yet basin-scale identification of event-timed vertical offsets in InSAR products requires explicit control of referencing and processing effects. This study evaluates whether the 27 September 2021 Arkalochori earthquake (Mw 6.0; central Crete) produced detectable coseismic vertical offsets within the Messara Basin by applying a reproducible screening workflow to Copernicus European Ground Motion Service (EGMS) Level-3 Vertical time series, from two processing generations (EGMS 2015–2021 and EGMS 2018–2022). An event-centered step metric (stepEQ), defined as the difference between post-event and pre-event mean displacements over a fixed acquisition window, is evaluated across three fixed spatial masks (MESSARA, R15060, R8750) together with a dispersion-based precision proxy (σstep) and a cross-generation sensitivity diagnostic (ΔstepEQ). A supplementary 2 + 2 subset sensitivity analysis indicates that the adopted fixed 3 + 3 estimator is stable at the basin scale, with sensitivity concentrated mainly in threshold-adjacent cases. Results indicate that Arkalochori-related offsets are not expressed as a basin-wide step across Messara; instead, non-background responses form a spatially limited and coherent subset concentrated where the basin intersects the near-source footprint. In EGMS 2018–2022, the higher vertical offset class (C2; |stepEQ| > 40 mm) is exclusively subsidence-direction and is enriched toward the screening center (up to ~19% within the radii mask R8750 m) but remains sparse at the basin scale mask (MESSARA mask) (~1%). Step-dominated points co-locate with strongly subsiding mean vertical velocity regimes and are hosted almost entirely by post-Alpine basin deposits, indicating strong material and background-deformation conditioning of step detectability. Cross-generation comparison shows basin-scale stability of background behavior but localized near-source sensitivity, supporting use of ΔstepEQ as a Quality Control (QC) lens for threshold-adjacent interpretations. The workflow provides a transparent, transferable approach for prioritizing candidate coseismic-step locations in EGMS time series. Results are interpreted as screening-level evidence in the derived vertical signal using event timing, spatial coherence, and QC diagnostics. Full article

The concept of the 15 minutes city is increasingly present in the structure of spatial planning for large urban centers, with the main goal of improving quality of life by facilitating access to basic necessities for the population. This study aims to provide an integrated assessment of spatial accessibility for two urban centers that differ in structure and organization, with the main goal of identifying best practices that can be borrowed from one urban center to another in order to streamline sustainable spatial planning based on the strategic concept of the 15 minutes city. The entire research process is based on the development of a completely new and innovative GIS spatial analysis model that will add value to the specialized literature both through the geoinformational approach to the analysis, integration and through the exclusive use the freely available GIS databases (using the OpenStreetMap database), functionally integrated through network analysis and equations weighing the importance of accessibility needs for the population. For the analysis of pedestrian accessibility, in minutes, a total of 4826 locations were used for Cluj–Napoca and 5050 for Pecs, which were structured into 12 subclasses and five main classes (Recreational and Cultural, Public Services and Safety, Education and Health, Commercial, and Public Transport) established in accordance with the main requirements of the 15 minutes city development methodology. The integration of subclasses and accessibility classes was achieved by weighting their importance according to the responses obtained after the implementation of questionnaires to identify the working population’s perception of accessibility in their daily routine. The comparative analysis of the intermediate and final results of the proposed model leads to the establishment of directions and decision-making in the territorial planning process through the transfer of knowledge, solutions, and techniques between the two urban centers to eliminate or reduce negative hotspots and develop a more sustainable urban center in terms of accessibility and as close as possible to a 15 minutes city. Full article

The rapid expansion of e-commerce and on-demand logistics has intensified the need for cost-effective and reliable urban distribution systems. This paper investigates an energy-aware routing problem for electric vehicle fleets operating from multiple depots under time-varying traffic conditions. We propose a novel multi-depot vehicle routing model that jointly incorporates time-dependent travel speeds, simultaneous pickup and delivery operations, and time window constraints. The model explicitly captures key operational realities, including battery capacity limitations, load- and speed-dependent energy consumption, synchronized pickup-delivery requirements, and soft time windows. The objective is to minimize total operational cost by simultaneously optimizing depot assignments, vehicle routes, and service schedules. Given the NP-hard nature of the problem, we develop a two-stage heuristic solution framework. In the first stage, a spatio-temporal clustering strategy is employed to assign customers to depots efficiently. In the second stage, route construction and improvement are performed using an enhanced Adaptive Large Neighborhood Search (ALNS) algorithm equipped with problem-specific destroy and repair operators. Computational experiments on adapted benchmark instances demonstrate that the proposed approach consistently produces high-quality solutions and exhibits robust convergence behavior. In addition, sensitivity analyses provide managerial insights, revealing an optimal range of vehicle energy capacity and an economically efficient speed band that balances travel time and energy consumption. Full article

Welding is a critical joining process in civil and transportation infrastructure, enabling the fabrication of complex steel structural systems used in bridges, buildings, and other essential infrastructures. Despite strict adherence to established welding codes and standards, such as AWS D1.1 and AASHTO/AWS D1.5, welding flaws and service-induced defects can occur in welded components. Cause of defects and their structural impact, along with detection, sizing, and localization of these anomalies and flaws, are crucial for adequate maintenance, repair, or replacement planning without compromising the functionality of in-service components. Among available NDT techniques, ultrasonic testing (UT) remains one of the most widely adopted methods of weld inspection due to its depth of penetration, sensitivity to internal defects, and suitability for field deployment. Recent advancements in ultrasonic technologies, particularly Phased Array Ultrasonic Testing (PAUT), along with its emerging approaches such as Full Matrix Capture (FMC) and the Total Focusing Method (TFM), have significantly enhanced inspection accuracy, repeatability, and interpretability. These techniques enable flexile beam steering, multi-angle interrogation, and improved imaging of complex geometries. This paper presents a comprehensive review of PAUT for the inspection of welded steel infrastructure adhering to the recommendations and requirements of the relevant codes and standards, synthesizing the current literature on PAUT principles, wave modes, probe configurations, and data acquisition strategies. Emphasis is placed on the practical implementation of PAUT in civil infrastructure inspection, its advantages over conventional NDT methods, and its potential to support informed decisions related to quality acceptance, repair, and long-term maintenance planning. This paper concludes by identifying current challenges and future research directions for advanced ultrasonic inspection of welded steel structures. Full article

To enhance cross-border logistics service quality and build a trustworthy and transparent service ecosystem, this paper constructs a tripartite evolutionary game model involving cross-border logistics enterprises, governments, and consumers. Considering operational reliability and information transparency, this paper explores the strategic interactions among stakeholders and the sensitivity of key influencing factors through evolutionary stable strategy analysis and numerical simulation. The results indicate four typical evolutionary scenarios: regulatory silos, feedback failure, administrative dominance, and collaborative governance. The government’s willingness to regulate is positively correlated with the service quality provided by logistics enterprises. Positive consumer feedback strengthens social supervision and exerts a substitution effect on government regulation. Improving operational reliability reduces enterprises compliance costs, driving improvements in logistics service quality. Information transparency can increase the implicit costs of low-quality service providers by empowering consumers’ feedback. While simple reward–punishment mechanisms or consumer compensation may generate short-term benefits, they may weaken the governance effectiveness of other stakeholders, potentially inducing regulatory inertia or false feedback. Full article

Task scheduling for vehicle–crane coordination is crucial for the operational efficiency of electrified automated container terminals (ACTs). However, under fully shared dispatching, existing studies rarely capture how charging-induced capacity fluctuations disrupt bidirectional service–arrival matching and propagate service-window shifts. To address this gap, this study proposes a comprehensive spatio-temporal optimization approach. Firstly, a bi-objective model is established to minimize service–arrival mismatch and vehicle energy consumption under state-of-charge (SOC) and charger-capacity constraints, explicitly quantifying vehicle–crane alignment at both handling interfaces. Secondly, an enhanced multi-objective algorithm (ST-NSGA-II) is developed, integrating a feasibility-preserving recursive decoding mechanism and a spatio-temporal variable neighborhood search (VNS) procedure. Finally, numerical experiments demonstrate that ST-NSGA-II significantly reduces mismatch and energy consumption compared to standard NSGA-II in large-scale scenarios. It also outperforms MOEA/D in Pareto-set quality, yielding a higher hypervolume (1.301 vs. 0.960) and a lower Spacing value (0.102 vs. 0.185). The results demonstrate that the proposed spatio-temporal optimization approach can effectively reduce handover mismatch compared to conventional scheduling modes, thereby achieving seamless task scheduling for vehicle–crane coordination. Full article

Pinching-antenna systems (PASSs) offer a low-complexity and reconfigurable solution for near-field downlink communications by deploying multiple radiating elements along a single waveguide. Existing studies mainly assume simplified propagation conditions or focus on spectral efficiency, while the impact of environment-dependent interference patterns arising from user-specific blockage conditions on energy-efficient design remains unclear. An energy-efficient downlink design for single-waveguide PASS based on environment-division multiple access (EDMA) is investigated. Under a given propagation environment, EDMA exploits user-dependent blockage and visibility differences through proper pinching-antenna placement, thereby inducing different multi-user interference patterns without increasing radio-frequency hardware complexity. We examine how such blockage-dependent interference influences the relationship between spectral efficiency and energy efficiency, and develop an energy-aware EDMA framework that jointly considers pinching-antenna locations and transmit power allocation under quality-of-service constraints. The resulting coupled design problem is solved through an alternating optimization procedure. EDMA is compared with conventional time-division multiple access (TDMA) using a unified hardware and power-consumption model. Numerical results reveal clear energy-efficiency threshold behaviors with respect to blockage intensity, user population, and service requirements. The results further show that EDMA can significantly outperform TDMA in specific operating regimes. Full article