Search Results (5,135)

During the adaptive reuse of industrial heritage buildings, existing opening systems and envelope performance often pose major constraints. These restrictions make it difficult for the building to meet the requirements of the updated indoor environment, resulting in insufficient daylight and increased energy consumption. Therefore, optimizing lighting and energy performance has become the primary goal of the retrofit design. However, with limited interventions, the retrofit of heritage buildings to achieve significant overall performance improvement is still a challenge. From a sustainability perspective, improving daylight utilization and reducing energy demand are essential strategies for achieving low-carbon and resource-efficient building retrofit. This study proposes a grid-based parametric multi-objective optimization approach to optimize the window openings of the building envelope. The approach defines the position, size and material properties of the roof and facade openings as design variables. Implemented via the Honeybee and Octopus platforms, it integrates a genetic algorithm with EnergyPlus and Radiance simulations to co-optimize daylight performance, circadian frequency, and energy use intensity. Taking a single-story typical industrial heritage building in China’s cold climate zone as a case study, it is shown that coordinated multi-objective constraints significantly improve the overall performance across various evaluation metrics. The optimization results also provide interpretable window configuration strategies and recommended parameter ranges, which fully consider the climate adaptability of the surrounding environment. These findings offer useful guidance for sustainable retrofit design decision-making in similar single-story industrial heritage buildings. Full article

Background: Incorporating sex as a biological variable (SBV) is recognized as essential for improving the reliability, reproducibility, and generalizability of pharmacological research. This principle is codified in international policies and guidelines, yet implementation remains uneven, especially in phytomedicine. Phytomedicines are a major component of healthcare worldwide, with 65% of the global population relying on them in both regulated and traditional contexts. Globally, phytomedicines are used by males, females, intersex and non-cis gender persons, all of whom may present specific safety and efficacy considerations and warrant full inclusion in pre-clinical to clinical research pipelines. However, in contemporary settings, phytomedicine lags in SBV best practices relative to Western allopathic standards for research design. Methods: We conducted a non-systematic review and in silico data mining to quantify sex/gender representation in recent preclinical and clinical phytomedicine studies, complemented by targeted case studies of sexually dimorphic safety/efficacy. We also summarize the historical role of women and gender-diverse people as users and providers within Traditional and Integrative Medical Systems (TIMSs). Results: Across rodent and human studies, females are under-represented relative to males, and sex is rarely reported for cell lines. Intentional inclusion of intersex and other gender-diverse populations is largely absent. Case studies illustrate plausible sex-associated differences in pharmacokinetics, pharmacodynamics, and adverse event profiles. TIMSs historically address women’s health needs and include substantial participation by female practitioners; however, contemporary SBV practices remain less standardized than in Western allopathic pipelines. Conclusions: SBV integration in phytomedicine is needed to strengthen safety, efficacy, and regulatory-grade evidence. Practical barriers include legacy datasets without sex metadata, limited intersex animal models, and uneven resources across settings. We outline feasible, stepwise practices to improve SBV adoption in a manner compatible with TIMS contexts and recommend expanding current guidelines to better support diverse research environments while maintaining scientific rigor. Full article

Environmental sustainability has emerged as a strategic requirement of those organizations that want to remain competitive in the long run, but most companies continue to adopt green human resource management (GHRM) practices and organizational change initiatives individually, thus restraining their potential transformation. This paper constructs and confirms a combined approach of how the fit between GHRM practices and adaptive change management processes results in high performance in sustainable innovation. In this study, 83 organizations from both the manufacturing and service sectors were selected using a purposive sampling method, to ensure diversity across developed and developing countries and varying levels of GHRM integration (low, moderate, and high). The sample was chosen to represent a broad spectrum of sustainability maturity levels, allowing for a comprehensive analysis of how GHRM practices influence green product, process, and business model innovation. This selection, alongside 30 peer-reviewed studies published between 2020 and 2025, underpins the conceptual framework used to activate change preparedness and link GHRM dimensions with innovation outcomes. I demonstrate that organizations with a high GHRM–change management fit have much higher levels of innovation performance—both in terms of the number of green product innovations (485%) and more sustainable performance improvement (90.5 on average)—than low-integration organizations. Findings also reveal that leadership commitment, employee engagement, organizational learning, and systemic reinforcement are key mediating processes that enhance the effect of GHRM activities. Temporal trajectory analysis demonstrates that integrated organizations go through deployment, consolidation, and optimization phases, as well as increasing returns to performance, with an accelerating trend of 36 months. This paper is important in management research as it fills in gaps in the literature, providing an explanation of how human resource practices facilitate organizational change at the system level. In practice, this study offers evidence-based recommendations to managers who want to establish sustainability-oriented innovation capability by implementing a coordinated GHRM and adaptive change management approach. Full article

Lean production philosophy and sustainability approach have become a critical framework for efficiency improvement, waste reduction, and promoting sustainable manufacturing practices. In the age of artificial intelligence (AI), there is a synergy, which has now found new dimensions, data-driven decision-making, predictive analytics, and operational agility. AI technologies promise to transform industrial processes by converging lean production and sustainability principles, a synergy explored in this paper. AI APIs enable the use of AI to improve resource utilization, reduce environmental pressure, and maintain economic growth inherent to all business sectors while also fostering social accountability. In this study, a robust regression model is employed to study the role of AI in moderating the lean practices and sustainability outcomes relationship, using a sample of 528 manufacturing firms. The results show that the contribution of AI technologies to economic, ecological, and social sustainability is effectively multiplied by that of lean production. This research offers a framework to help practitioners and policymakers optimize production systems in line with Sustainable Development Goals. Finally, the study delivers actionable recommendations for navigating skill gaps and cybersecurity risks that were identified. In sum, this paper contributes to the rapidly emerging conversation by providing empirical evidence on AI’s moderating role in the lean–sustainability relationship and offering a strategic framework for practitioners. Full article

Water, energy, and food (WEF) are intricately linked through economic activities in the Yangtze River Delta, creating increasingly strong interdependencies. Tracking the consumption and transfer of the water–energy–food (WEF) nexus across regions and sectors is essential for the synergetic management of these critical resources. To characterize the WEF nexus from both consumption and production ends, this study develops a quantitative accounting framework based on a multi-regional input–output model. The proposed framework integrates direct WEF nexus consumption with embodied consumption driven by final demand and further investigates transfer patterns induced by intermediate inputs. The results indicate that the nexus-oriented consumption between water, energy, and food exceeds individual resource consumption. In particular, food-related water resource consumption in the Service sector in Jiangsu is 28 times that of individual water consumption. The embodied consumption of WEF accounts for 42%, 31%, and 47% of the total consumption, respectively. In particular, the embodied consumption of the WEF nexus caused by urban household consumption in Shanghai is much higher than that in other regions. Manufacturing is the resource-exporting sector, while Agriculture and Construction are the resource-importing sectors. Shanghai is a major resource-importing city, while Zhejiang is a typical resource-exporting city. The results also suggest that Jiangsu–Shanghai and Jiangsu–Anhui are regions with strong connections of WEF nexus transfer, while Agriculture–Manufacturing, Manufacturing–Construction, and Service–Construction are sectors with strong connections. These results highlight the complex interplay between water, energy, and food across the Yangtze River Delta. Given this, this study recommends enhancing resource regulation capabilities and paying attention to strongly correlated regions or sectors. Full article

Background/Objectives: Accurate drug allergy documentation is essential for patient safety; however, documentation quality remains poor worldwide. In resource-limited settings that rely on paper records, allergy information may become fragmented across multiple forms, and evidence on concordance between paper-based documentation systems is limited. This audit assessed concordance between clinical notes and drug Kardex records, and completeness of drug allergy documentation entries, in a manual hospital system. Methods: This retrospective clinical audit, reported in accordance with SQUIRE 2.0 guidelines, examined 88 randomly selected patient records from 525 consecutive admissions to a general medicine ward in Pakistan during June–July 2024, retrospectively reviewed in August 2024. The audit assessed allergy status documentation in clinical notes and the drug Kardex, evaluated completeness against five internationally recommended elements (drug name, reaction description, severity, date, and treatment), and measured inter-system concordance using McNemar’s test and Cohen’s kappa. Results: Drug allergy status was documented in 25.0% of clinical notes (95% CI: 16.5–35.4%) versus 94.3% of drug Kardex records (95% CI: 87.2–98.1%), representing a 69.3 percentage-point gap (McNemar χ² = 59.06, p < 0.001). Inter-system agreement was poor (κ = 0.0079; 95% CI: −0.046 to 0.062), with an overall concordance of 28.4%. Discordant pairs showed that undocumented allergy status was far more likely in clinical notes than in the drug Kardex (OR = 62.00). Kardex-only documentation occurred in 62 of 88 patients (70.5%). Among nine patients with documented allergy history in at least one source, none met the five-element completeness standards (0%; 95% CI: 0.0–33.6%). Recorded entries were generic statements such as “drug allergy” or “allergic to antibiotics” without clinically actionable details. Conclusions: Drug allergy documentation showed two major quality failures: poor concordance between parallel paper records and lack of actionable detail in recorded entries. The two systems functioned independently rather than as complementary safety checks, with allergy information often present in the drug Kardex but absent from clinical notes. This Kardex-only failure mode may be a practical target for quality improvement through structured five-element templates, prompts for clinicians to review the drug Kardex, and interdisciplinary allergy-reconciliation workflows. These strategies require prospective evaluation in this setting. Full article

As water resources are becoming increasingly scarce in the North China Plain, irrigation strategies that simultaneously improve grain yield and reduce irrigation water input are needed for winter wheat (Triticum aestivum L.) production. Current irrigation decision rules are based either on fixed soil moisture thresholds or on evapotranspiration (ET)-based ratios applied uniformly across the growing season, limiting their flexibility for growth stage-specific irrigation management. In this study, a multi-objective simulation optimization framework was developed to jointly optimize soil moisture lower control limits (irrigation trigger thresholds) and evapotranspiration-based irrigation replenishment ratios across key winter wheat growth stages. The framework integrated the AquaCrop-OSPy crop model with the PyFAO56 soil moisture balance, irrigation scheduling model and the NSGA-II evolutionary optimization algorithm. A field experiment was conducted during the 2024–2025 growing season in Laoling City, Shandong Province, China, employing a four-dense–one-sparse strip cropping pattern with two irrigation treatments: T1 (subsurface sprinkler irrigation) and T2 (shallow subsurface drip irrigation). The AquaCrop-OSPy model was calibrated and validated using measured canopy cover, aboveground biomass, grain yield, and soil moisture content in the 0–60 cm soil layer. Simulated canopy cover and grain yield showed good agreement with observations, with the coefficient of determination (R²) ranging from 0.87 to 0.94. For grain yield, the normalized root mean square error (NRMSE) ranged from 2.24% to 3.75%, and the root mean square error (RMSE) ranged from 0.29 to 0.54 t·ha⁻¹. For aboveground biomass, R² was 0.99, while RMSE ranged from 1.02 to 1.11 t·ha⁻¹, and NRMSE ranged from 14.25% to 15.49%. The PyFAO56 irrigation strategy model simulated average root-zone soil-moisture dynamics with satisfactory accuracy, with an R² of 0.86 and an RMSE of 5%. Multi-objective optimization (maximizing yield while minimizing irrigation volume) generated 23 Pareto-optimal irrigation strategies, with irrigation volumes ranging from 51 to 128 mm, corresponding yields ranging from 9.8 to 10.8 t·ha⁻¹, and irrigation water use efficiency (IWUE) ranging from 0.08 to 0.19 t·ha⁻¹·mm⁻¹. Correlation analysis within the Pareto set indicated that soil-moisture control lower limits during the regreening–jointing stage and higher soil-moisture control lower limits during the flowering–maturity stage were key controlling factors for achieving high yields and irrigation water use efficiency. The Entropy-Weighted Ranked Minimum Distance method identified an optimal irrigation scheme involving two irrigations (one at the end of the jointing stage and another at the beginning of the grain filling stage) involving an irrigation depth of 75 mm, achieving a simulated yield of 10.4 t·ha⁻¹ and an IWUE of 0.16 t·ha⁻¹·mm⁻¹. The proposed AquaCrop-PyFAO56-NSGA-II framework provides a flexible, process-based workflow for jointly optimizing irrigation control thresholds and evapotranspiration-based irrigation replenishment ratios across different winter wheat growth stages. Under the monitored conditions of the 2024–2025 wet season, the framework identified a two-irrigation strategy that balanced grain yield and irrigation input. This study should, therefore, be regarded as a proof-of-concept evaluation conducted in a well-instrumented single-site field setting rather than as a universally transferable recommendation. Because model calibration, within-season validation, and optimization were all based on one wet growing season at one site, the derived stage-specific thresholds, Pareto front, and S5 recommendation are most applicable to hydro-climatic conditions similar to the study year and should be further tested across contrasting year-types and locations before broader extrapolation. Full article

Utilising highly mineralised mine water for drip irrigation of desert vegetation in mining areas represents a crucial approach to alleviating freshwater scarcity and achieving mine water resource utilisation. However, high salt inputs may pose risks of salt return to root zones and deep accumulation. To ensure the safe and effective utilisation of mine water, laboratory 45 cm soil column infiltration tests (freshwater, 8, 12, 16 g L⁻¹) were conducted in the heavily saline-affected desert vegetation zone of Dananhu, Hami, Xinjiang, alongside 2023–2024 field drip irrigation trials (8, 12, 16 g L⁻¹). This study established a ‘soil column inversion–field validation–scenario optimisation’ framework (16 g L⁻¹) and field drip irrigation trials (8, 12, 16 g L⁻¹) during 2023–2024. A multi-scale HYDRUS-1D/3D simulation framework—‘soil column inversion–field validation–scenario optimisation’—was established to quantify water–salt transport processes in the root zone and optimise emitter flow rates. HYDRUS-1D demonstrated excellent fitting for soil moisture content, wetting front, and salinity distribution (R² = 0.964–0.979, 0.995–0.998, 0.791–0.898). Following parameter migration, HYDRUS-3D achieved R² values of 0.834–0.949 for simulating field-scale stratified salinity. Overall desalination occurred in the 0–80 cm soil profile over two years. Within the 0–40 cm root zone, reduction rates decreased with increasing irrigation salinity: 45.77% (2023) and 59.64% (2024) under 8 g L⁻¹ treatment, significantly higher than the 24.24% and 30.91% reductions observed at 16 g/L (p < 0.05). During the high-temperature period of July–August, transient salt accumulation occurred in the 0–10 cm surface layer, while the 80–120 cm zone exhibited cumulative risk. Scenario simulations indicated that increased dripper flow rates expanded the wetted zone horizontally but weakened vertical leaching. The 2.0–2.4 L h⁻¹ range demonstrated superior overall performance in balancing root zone desalination rates and irrigation uniformity. The study recommends targeting root-zone salinity stability through a combination of moderate leaching, summer transpiration suppression, and seasonal flushing/natural leaching, alongside prioritising low-to-medium flow emitters. This approach synergistically reduces both surface salinity return and deep accumulation risks. Full article

Background: Pediatric respiratory infections represent a leading cause of emergency department (ED) visits and hospitalizations. Chest X-rays are frequently used in their diagnostic evaluation, despite guideline recommendations advocating restrictive imaging strategies, particularly in young children with uncomplicated disease. Excessive imaging raises concerns regarding cumulative radiation exposure and inefficient resource utilization. Objectives: To quantify potentially unnecessary chest radiography use in hospitalized pediatric patients with respiratory infections and to identify age-related and diagnostic patterns suitable for targeted imaging optimization interventions. Methods: We conducted a retrospective observational study analyzing pediatric patients presented to the ED of a tertiary county hospital in Romania over a period of 12 months. Data regarding respiratory diagnoses, hospitalization status, patient age, and chest radiography utilization were extracted from electronic medical records. Results: Among more than 26,000 pediatric emergency presentations, 4139 children required hospitalization, of whom 1212 were diagnosed with respiratory infections. A total of 3414 chest radiographs were performed, with the highest imaging burden observed in children aged 0–4 years. Repeated imaging was common in interstitial pneumonia, bronchiolitis, and bronchial hyperreactivity. A strong negative correlation was identified between patient age and imaging frequency (r = −0.70, p < 0.001). Conclusions: Thoracic radiographs are disproportionately used in young children with respiratory infections, particularly in conditions with limited imaging indications. These findings provide an essential baseline for the development of targeted quality improvement interventions aimed at reducing unnecessary pediatric imaging. Full article

Improving urban land use efficiency is a critical pathway toward sustainable urban development, particularly in large countries undergoing rapid urbanization such as China. However, significant disparities in land use efficiency exist across cities, largely due to differences in economic development, resource endowments, and governance practices. These disparities highlight the necessity of conducting a systematic spatiotemporal assessment of land use mismatch at the city level to identify regional weaknesses and inform differentiated policy mechanisms. This study extends the land use mismatch (LUM) model, which introduces a supply–demand framework for analyzing the mismatch phenomenon of urban land use. Building on the LUM model, this study innovatively develops a classification system of five mismatch zones across eight construction land types, which provides a more systematic and comprehensive approach to identifying land use mismatch patterns. The empirical analysis is conducted using data from 283 prefecture-level cities in China. The results reveal substantial spatial heterogeneity in land use mismatch across Chinese cities. Most of the cities in East China generally fall within acceptable mismatch zones, where market mechanisms play a more effective role in land allocation. Cities in Western China exhibit more serious mismatch levels, where policy intervention seems more significant in land use planning. Cities in Central China demonstrate mixed patterns, ranging from acceptable to severe mismatch. The findings further indicate that these disparities are associated not only with economic and geographical differences but also with variations in governance practices, particularly the interaction between policy intervention and market mechanisms. This study introduces a new approach to examining the patterns of land use mismatch and provides evidence-based policy recommendations for cities in different regions to reduce land mismatch and promote more efficient use of urban land. Full article

Tasmania has some of Australia’s worst potentially preventable hospitalisation (PPH) rates linked to chronic illness. This means that people are living with increasing pain and incapacity. PPHs are also an unnecessary social and financial cost and signal a failure to address the drivers of chronic illness, disproportionally experienced by people with poor access to the social determinants of health. Systems thinking (ST) is increasingly being applied to understanding such problems and designing solutions from a whole system perspective. This case study describes a novel, exploratory application of ST tools in four communities with high chronic disease risk to better understand and develop place-based interventions in the prevention approach known as ‘Anticipatory Care’ (AC). With community members, recruited through four community bodies, we used causal loop diagrams (CLDs) to implement three of the WHO’s recommended steps to ST in health systems: collectively brainstorm, conceptualise effects, and adapt and redesign. Community stakeholders developed CLDs to understand the locally relevant AC system, determine boundaries and priorities, and identify barriers to and opportunities for change. Opportunities focused on the relationship between safe access, place, belonging, relationships and culture, health information, and health services. At the project’s end, a second set of CLDs identified indicators of changes to local AC systems. Given a ‘blank slate’ for chronic disease prevention, communities developed unique, place-based responses orientated towards strengthening resources, connections, and collaboration. We argue that ST can be used to support community understanding of the behaviour of the local chronic disease prevention system, surface the interdependence of system parts, and identify formerly unrecognised opportunities for and consequences of intervention. The impact of place-based approaches is constrained by structural forces, including policies, norms, institutions, and resourcing. Full article

The rapid growth in large-scale image repositories over the past few years has made exact and near-duplicate images increasingly common, creating substantial redundancy that wastes storage resources and reduces retrieval efficiency in practical systems. Even though perceptual hashing and deep learning are promising deduplication strategies, the lack of standardized benchmarks complicates direct comparison. In this study, we conduct a unified, controlled evaluation of five commonly used methods, including four classical perceptual hashes (AHash, DHash, PHash, and WHash) and a CNN-based embedding model. We evaluate all methods on the UKBench and Amazon Berkeley Objects datasets using identical preprocessing, thresholds, and metrics, which include exact duplicates, near-duplicates, and geometrically transformed duplicates. Our experiments highlight a clear trade-off between speed and robustness. Hashing methods are computationally efficient and effective for exact matches, but perform poorly on near-duplicates and under geometric transformations, whereas the CNN model is significantly more robust across all duplicate types, but comes at a high computational cost. Based on these results, we outline practical recommendations for selecting deduplication strategies in large-scale applications. In addition, our evaluation setup serves as a reproducible baseline for future research in image similarity and large-scale deduplication. Full article

The urgency of global sustainability challenges increased policy attention to Education for Sustainable Development (ESD), particularly in relation to Sustainable Development Goal 4.7, which calls for the systematic integration of sustainability competences across education systems. This article examines how organisational and structural approaches to continuous professional development (CPD) can support the institutionalisation of ESD beyond individual teacher training. The article adopts a case-based analytical approach drawing on programme documentation and evaluation data from two initiatives coordinated by the teacher training department of the District Government of Arnsberg in North Rhine-Westphalia, Germany: the Erasmus+ consortium EFFORT-A, which links international mobility with school development processes, and the regional programme WIRkstatt Zukunft, which implements the Whole School Approach through modular training and school-based consultancy. The analysis indicates that multi-level governance, structured networking, leadership engagement, and formal contracting mechanisms are associated with the integration of ESD within school cultures, curricula, and organisational routines. Challenges are identified regarding resource allocation, policy coherence, and the long-term sustainability of project-based formats. The article concludes that sustained ESD implementation requires CPD systems that combine international perspectives with regionally anchored support structures and align individual professional learning with institutional development strategies, offering recommendations for policymakers and educational leaders. Full article

Amidst escalating global economic instability, urban economic resilience has emerged as a fundamental pillar for sustainable urban development. Using a dataset of 280 prefecture-level cities in China from 2008 to 2021, this study examines the impact of financial agglomeration on urban economic resilience. The entropy weight approach is used to measure urban economic resilience. The main empirical results show that financial agglomeration has a statistically significant positive impact on urban economic resilience, mainly through two mediating channels: the promotion of technical innovation and the optimization of the industrial structure. The beneficial effects of financial agglomeration increase with city size, according to a threshold effect analysis, giving urban sustainable development a stronger boost. Furthermore, compared to resource-based cities, cities in the central and western regions, and cities with low levels of digital finance development, this promotional effect is much more noticeable in non-resource-based cities, cities in the eastern regions, and cities with a high degree of digital finance development. This study underscores the pivotal influence of financial clustering on reinforcing urban economic robustness, offering policy recommendations for fostering sustainable growth and urban development. Full article

This study explores the lived experiences of pregnant women in rural Nepal navigating maternal healthcare amidst intersecting structural barriers. Using the Social Determinants of Health framework and intersectionality, we examine how geographic isolation, inadequate infrastructure, and economic hardship compound risks to timely and safe maternal care. Twenty in-depth interviews were conducted at a district hospital in the eastern region of Koshi Province, Nepal. Four major themes were identified through inductive thematic analysis. These are: geographic vulnerability and transport challenges; gaps in rural maternal health provision; accommodation and institutional support deficits; and economic vulnerability and hidden costs of care. Findings reveal that poor road conditions, unreliable transport, and limited diagnostic services force women to undertake long, costly journeys, often requiring temporary relocation without institutional accommodation support. Despite policies such as the Safe Motherhood Programme, implementation gaps persist, leaving women to bear significant financial and emotional burdens. These experiences underscore systemic inequities in resource distribution and highlight the compounded disadvantage faced by women from rural and marginalised communities. To ensure equitable maternal healthcare, this study advocates for the decentralisation of health services and the implementation of inclusive financial protection policies tailored to the needs of women from rural and marginalised communities. To promote equitable maternal healthcare, we recommend strengthening rural health infrastructure, implementing maternity waiting homes, and expanding financial protection schemes tailored to vulnerable populations. This research offers critical insights for policymakers to address maternal health inequalities and advance Nepal’s progress toward Universal Health Coverage and Sustainable Development Goal 3 (Ensure healthy lives and promote well-being for all at all ages). Full article