Search Results (629)

Since the end of the Civil War, Cambodia has pursued economic development to enhance livelihoods, particularly in rural areas, where land is a critical resource. Previous studies have indicated that the country has changed land use and land cover. However, they have not explained how these changes can improve the livelihoods of local communities, thereby mitigating their negative impacts through an asset-based approach. Battambang Province, in the northwestern region, was the battleground until political integration in 1996. Since then, the province has been home to immigrants exploring the lands for livelihood. Thus, this study aims to examine agricultural livelihoods in the villages of Dei Kraham and Ou Toek Thla, located west of Battambang Town. These were selected because of their common characteristics. Adopting a quantitative approach and a sustainable livelihood framework, this study employed stratified random sampling to select 123 families for interviews across three population subgroups: old settlers, new settlers, and young settlers. In situ information was collected using structured questionnaires and analyzed using Kruskal–Wallis tests to assess the livelihood assets underlying the physical, natural, human, financial, and social capital. The statistical analysis results reveal no significant differences (p-value = 0.079) in livelihood assets between the strata at the village level. Meanwhile, significant differences were observed in physical, human, and financial capital between old and young settlers when examining the subgroups (p-value 0.000). The extent of the land resources held by old settlers was associated with household income and livelihoods related to agriculture. Based on livelihood asset scores, nearly half of the new settlers (0.49–0.5) and a quarter of the young settlers (0.47) are vulnerable groups requiring support. The youth will soon face an uncertain future if they do not prioritize education. Full article

Structural health monitoring in resource-constrained environments demands crack segmentation models that match the accuracy of heavyweight convolutional networks while conforming to the power, memory, and latency limits of watt-level edge devices. This study presents a lightweight dual-attention network, which is a four-stage U-Net compressed to one-quarter of the channel depth and augmented—exclusively at the deepest layer—with a compact dual-attention block that couples channel excitation with spatial self-attention. The added mechanism increases computation by only 19%, limits the weight budget to 7.4 MB, and remains fully compatible with post-training INT8 quantization. On a pixel-labelled concrete crack benchmark, the proposed network achieves an intersection over union of 0.827 and an F1 score of 0.905, thus outperforming CrackTree, Hybrid 2020, MobileNetV3, and ESPNetv2. While refined weight initialization and Dice-augmented loss provide slight improvements, ablation experiments show that the dual-attention module is the main factor influencing accuracy. With 110 frames per second on a 10 W Jetson Nano and 220 frames per second on a 5 W Coral TPU achieved without observable accuracy loss, hardware-in-the-loop tests validate real-time viability. Thus, the proposed network offers cutting-edge crack segmentation at the kiloflop scale, thus facilitating ongoing, on-device civil infrastructure inspection. Full article

Monsoon evergreen broad-leaved forests (MEBFs) represent one of the most species-rich and structurally complex vegetation types, and one of the most widely distributed forests in Yunnan Province, Southwest China. However, they have yet to undergo a comprehensive analysis on their community diversity, spatial differentiation patterns, and underlying drivers across Yunnan. Based on extensive field surveys during 2021–2024 with 548 MEBF plots, this study employed the Unweighted Pair Group Method for forest community classification and Non-metric Multidimensional Scaling for ordination and interpretation of community–environment association. A total of 3517 vascular plant species were recorded in the plots, including 1137 tree species, 1161 shrubs, and 1219 herbs. Numerical classification divided the plots into 3 alliance groups and 24 alliances: (1) Castanopsis–Schima (Lithocarpus) Forest Alliance Group (16 alliances), predominantly distributed west of 102°E in central-south and southwest Yunnan; (2) Castanopsis–Machilus (Beilschmiedia) Forest Alliance Group (6 alliances), concentrated east of 101°E in southeast Yunnan with limited latitudinal range; (3) Castanopsis–Camellia Forest Alliance Group (2 alliances), restricted to higher-elevation mountainous areas within 103–104° E and 22.5–23° N. Climatic variation accounted for 81.1% of the species compositional variation among alliance groups, with contributions of 83.5%, 57.6%, and 62.1% to alliance-level differentiation within alliance groups 1, 2, and 3, respectively. Precipitation days in the driest quarter (PDDQ) and precipitation seasonality (PS) emerged as the strongest predictors of community differentiation at both alliance group and alliance levels. Topography and soil features significantly influenced alliance differentiation in Groups 2 and 3. Collectively, the interaction between the monsoon climate and topography dominate the spatial differentiation of MEBF communities in Yunnan. Full article

The global urgency to mitigate climate change by reducing transport-related emissions drives the accelerated electrification of road freight transport. This paper presents a comprehensive meta-study forecasting the development and corresponding power demand of electric trucks and tractor units in Hamburg up to 2050, emphasizing the shift from conventional to electric vehicles. Utilizing historical registration data and existing commercial and institutional reports from 2007 to 2024, the analysis estimates future distributions of electric heavy-duty vehicles across Hamburg’s 103 city quarters. Distinct approaches are evaluated to explore potential heavy-duty vehicle distribution in the city, employing Mixed-Integer Linear Programming to quantify and minimize distribution uncertainties. Power demand forecasts at this detailed geographical level enable effective infrastructure planning and strategy development. The findings serve as a foundation for Hamburg’s transition to electric heavy-duty vehicles, ensuring a sustainable, efficient, and reliable energy supply aligned with the city’s growing electrification requirements. Full article

Healthcare-associated infections (HAIs), also referred to as nosocomial or hospital-acquired infections, are a significant cause of death worldwide, with hand hygiene being the most powerful means to tackle them. The present study had a twofold aim: first, to assess the level of knowledge and the degree of compliance with hand hygiene practices based on healthcare workers’ self-reports; second, to evaluate whether behavioral economics techniques, specifically a poster combining an image and an informational message, designed according to the published literature, can increase the level of healthcare workers’ compliance with hand hygiene. Factors that potentially affect compliance were also examined. This study involved distributing a questionnaire to healthcare workers in Greek public hospitals, from which 314 completed responses were collected during the last quarter of 2023. Participants were randomly and evenly assigned to an intervention group that received a nudging poster or to a control group, which did not. Self-reported compliance with hand hygiene practices was high, based on two latent variables derived through exploratory factor analysis, although knowledge of germ transmission was moderate, as reflected in the relevant knowledge question scores. However, nudging had no statistically significant effect on hand hygiene behavior. Compliance was associated with several factors, including gender, age, work experience, profession, perceived adequacy of available hygiene-related resources, and perceived consequences of nosocomial infections on patient outcomes. Full article

This study presents a data-driven analysis of navigator stress and workload levels in simulated ship encounters within restricted waters, leveraging real-world automatic identification system (AIS) data from Makassar Port, Indonesia. Six close-quarter scenarios were recreated to reflect critical encounter geometries, and 24 Indonesian seafarers were evaluated using heart rate variability (HRV), perceived stress scale (PSS), and task load index (NASA-TLX) workload assessments. The results indicate that crossing angles, particularly 135° port and starboard encounters, significantly influence physiological stress levels, with age being a moderating factor. Although no consistent relationship was found between workload and HRV metrics, the findings underscore key human factors that may impair navigational performance under cognitively demanding conditions. By integrating AIS-derived traffic data with simulation-based human performance monitoring, this study supports the development of intelligent maritime training frameworks and adaptive decision support systems. The research contributes to broader efforts toward enhancing navigational safety and situational awareness amid increasing automation and traffic densities at sea. Full article

Understanding morphological descriptions of plants documented by ancient peoples over 1000 years ago and identifying the species they described are critical for reconstructing the natural geographic distribution of plant taxa, tracking taxonomic variations, and inferring historical climate dynamics. Analyzing shifts in plant communities and climatic conditions during this period is essential to unravel the interplay among floristic composition, climate fluctuations, and anthropogenic impacts. However, research in this field remains limited, with greater emphasis placed on plant taxa from hundreds of millions of years ago. Investigations into flora and climate during the last two millennia are sparse, and pre-millennial climatic conditions remain poorly characterized. In this study, a historical text written 1475 years ago was analyzed to compile plant names and morphological features, followed by taxonomic identification. The research identified three gymnosperm species (one in Pinaceae, two in Cupressaceae), 1 Tamaricaceae species (dicotyledon), and 19 dicotyledon species. However, three plant groups could only be identified at the genus level. Using textual analysis and woody plant coexistence methods, the climate of 1475 years ago in western Henan Province, located in the middle-lower Yellow River basin in East Asia, was reconstructed. Results indicate that the mean temperature of the coldest month (MTCM) was approximately 1.3 °C higher than modern values. In comparison, the mean temperature of the warmest month (MTWM) and mean annual temperature (MAT) were lower than present-day levels. This suggests slightly cooler overall conditions with milder seasonal extremes in ancient Luoyang—a finding supported by contemporaneous studies. Furthermore, annual precipitation (AP), precipitation of the warmest quarter (PWQ), and precipitation of the coldest quarter (PCQ) in the Luoyang region 1475 years ago exceeded modern measurements, despite the area’s monsoonal climate. This suggests significantly higher atmospheric moisture content in ancient air masses compared to today. This study provides floristic and climatic baseline data for advancing our understanding of global climate variability at millennial scales. Full article

Bamboo forests are among China’s key strategic forest resources, characterized by rapid growth and high carbon sequestration efficiency. Traditional management practices primarily aim to maximize economic benefits by regulating stand density to enhance yields of bamboo culms and shoots. However, the influence of density regulation on the growth and carbon accumulation of spring bamboo shoots remains insufficiently understood. Therefore, this study focuses on moso bamboo (Phyllostachys edulis (Carrière) J. Houzeau) stands and investigates shoot emergence during the shooting period across four stand density levels: D1 (1400 stems/ha), D2 (2000 stems/ha), D3 (2600 stems/ha), and D4 (3200 stems/ha). The study analyzes the dynamics of shoot emergence, height development, and morphological traits under varying stand densities, and explores patterns of carbon accumulation during the shooting period, thereby clarifying the effects of stand density on shoot quantity, growth quality, and carbon sequestration. The main findings are as follows: the number of emerging shoots decreased with increasing stand density, ranging from 2592 to 4634 shoots per hectare. The peak shoot emergence period in the D1 stand was extended by 3 days compared to D2 and D3, while the D4 stand entered the peak emergence period 6 days later than D2 and D3. The rapid height growth phase in D1 occurred 3 days earlier than in D2 and D3, and 6 days earlier than in D4. Results from the variable exponent taper equation indicated that spring shoots in the D2 and D4 stands had larger basal diameters, following the order D4 > D2 > D3 > D1. Shoots in the D2 stand exhibited the smallest taper, with the order being D2 < D3 < D1 < D4. During the late stage of shoot emergence (3 May to 9 May), all stands entered a period of rapid carbon accumulation per individual shoot. In the early stage, carbon accumulation followed the order D1 > D2 > D4 > D3; in the middle stage, the order shifted to D4 > D3 > D2 > D1; and in the final stage, the trend was D1 > D4 > D3 > D2. Within the 30-day investigation period, the carbon storage in spring shoots reached up to one-quarter or even one-third of the total accumulation during the growth period. The D1 stand exhibited the highest rate of increase in the proportion of individual shoot carbon storage. Full article

High-precision estimation of ground-level ozone pollution is very important for the ecological environment and public health management. Taking Hubei Province as an example, a framework of ozone concentration estimation with a spatial resolution of 0.01° × 0.01° was constructed by integrating ground observation, satellite remote sensing, and meteorological and socio-economic data. By comparing six machine learning models, it was found that the LightGBM single model performed best (R² = 0.87), while the stacked integration model based on XGBoost, LightGBM, and CatBoost significantly improved accuracy (R² = 0.91; RMSE = 9.40). The results show that the ozone concentration in Hubei Province presents a spatial pattern of “high in the east and low in the west” and a seasonal feature of “thick in summer and thin in winter”, with the peak appearing in the second quarter and September. This study had some limitations, such as insufficient timeliness of human activity data, the high cost of model calculation, and regional applicability to be verified. However, through the innovative application of multi-source data fusion and an integrated learning strategy, the accurate inversion of the provincial-level high-resolution ozone concentration was achieved for the first time. The results provide methodological support for the refined prevention and control of regional ozone pollution, and the multi-model collaborative framework has a universal reference value for the estimation of air pollutants. Full article

Background: Sickle cell disease (SCD) is associated with high physical and psychosocial burden among patients and their families. Hydroxyurea (HU) improves health-related quality of life by preventing SCD complications. Despite its availability, HU is underutilised in Tanzania. Perceived self-efficacy for appropriate medication use influences medication usage among individuals with chronic illnesses. We studied factors associated with caregivers’ perceived self-efficacy for appropriate use of HU and its association with HU usage among children with SCD in Dar-es-Salaam. Methods: We conducted a cross-sectional study from May to August 2023. We enrolled 374 caregivers of children with SCD from two regional and two national hospitals. We adapted the self-efficacy for appropriate medication use scale, a multidimensional perceived social support scale, and a patient health questionnaire for assessment of self-efficacy, social support, and depressive symptoms, respectively. Results: Three-quarters of caregivers had high perceived self-efficacy scores for medication use. Attending national hospitals, high social support, and absence of depressive symptoms were positively associated with perceived self-efficacy (adjusted beta coefficient aβ 2.3, 95% CI 0.5–4.2; aβ 9, 95% CI 7.1–10.9; and aβ 5.3, 95% CI 2.8–7.8, respectively). Caregivers with high self-efficacy were 5.3 times more likely to give HU to their children compared with those with low self-efficacy (incidence rate ratio 5.3, 95% CI 3.3–8.3). Conclusions: Hospital levels and psychosocial factors influence caregivers’ perceived self-efficacy for appropriate HU use. We recommend targeted interventions to enhance psychosocial support among caregivers to increase caregivers’ perceived self-efficacy and HU utilization among children with SCD in Tanzania. Full article

Background: Mental health issues among youth are a growing public health concern. Schools play a vital role in the early detection and prevention of mental health issues, with principals being central to the implementation of mental health initiatives. This study assessed the attitudes, preparedness, and practices of school principals regarding mental health promotion and prevention among school-aged children. Methods: A cross-sectional survey using computer-assisted web interviewing (CAWI) was conducted between March and April 2025. A 19-item questionnaire was sent to all 1564 primary and secondary school principals in the Lodz region. Data from 605 respondents (response rate: 38.7%) were analyzed. Results: A total of 94.9% of the principals reported an increase in student mental health problems over the past five years. Over one-quarter of school principals (26.3%) declared a very good or rather good level of preparation for teachers to work with students diagnosed with a mental disorder. Moreover, 42.3% declared a very good or rather good level of preparation of teachers for conversations with parents about mental health problems observed in their children. Mental health education was conducted in 94.7% of schools, and teacher training in 73.2% of schools. Secondary schools more often offered such training (81.9% vs. 70.7%; p = 0.01) and reported stronger support from specialist teachers (79.7% vs. 67.7%; p = 0.01) than primary schools did. Rural schools rated teacher-parent communication more positively (47.0% vs. 37.7%; p = 0.02) despite fewer training initiatives (68.7% vs. 77.7%; p = 0.01). Suicide response procedures were implemented in 78.5% of schools. Conclusions: The findings confirm a marked rise in student mental health needs and reveal structural disparities in providing school-based support. Enhancing school leadership, expanding teacher training, and ensuring systemic support may facilitate mental health promotion interventions in schools. Full article

Background: There are known associations between periodontitis and colorectal cancer, but knowledge on the connections existing between the two are not fully understood. The aim of our study was to assess prevalence and clinical severity of periodontitis in patients with localized colorectal cancer. Secondly, the dynamics of metabolic derangements, particularly glucose metabolism, insulin resistance, and diabetes mellitus were studied as well. Methods: Diagnostic procedures included endoscopies with patohistology, laboratory exams, the insulin resistance homeostatic model assessment method (HOMA index), anthropometrics, and radiology imaging. Periodontal status was evaluated by full-mouth periodontal examination. Results: A total of 79 patients with localized colorectal carcinoma, with slight male predominance of 55.7%, and an age of 65.7 ± 12.4 years participated in this study. Three-quarters of patients (73.4%; 95% CI: 63.0–82.2%) were diagnosed with periodontitis. Patients with periodontitis and colorectal cancer had significantly increased glucose levels (fasting and after oral glucose challenge), (both p < 0.05). Also, increased values of the HOMA index were found in patients with periodontitis vs. controls (without periodontitis) and colorectal cancer; 6.38 ± 5.74 vs. 3.58 ± 2.6 (p = 0.012); Spearman’s Rho correlation coefficient = 0.271 (p = 0.039). There were significant differences in high-density cholesterol in patients with periodontitis vs. controls, 1.41 ± 0.28 vs. 1.23 ± 0.35 mmol/L (p = 0.016), but correlations were insignificant; Rho c.c. = 0.045 (p = 0.738). Conclusions: The most consorted connections between periodontitis and colorectal cancer were found among parameters of metabolic domain, especially glucose concentrations and insulin resistance. Further studies, which would include novel and emerging antidiabetic treatments and their effects on the prevention or control of both diseases, would be warranted. Full article

Beetles of the family Mordellidae, important global pollinators, include Glipa, the third largest genus, which retains plesiomorphic traits related to pollination and is mainly found between 38° S–38° N. Existing studies on Glipa focus largely on taxonomy and systematics. The ecological response of Glipa to climate change remains poorly understood. Our objective was to investigate how the distribution of Glipa may respond to climate change using a species-level MaxEnt based model with 297 geographic distribution data points and seven bioclimatic environmental variables. The study showed that the MaxEnt model had a high predictive accuracy, with an Area Under the Curve (AUC) value of 0.963. The maximum temperature of the warmest month, mean annual precipitation, and mean precipitation of the driest quarter were the three most important factors affecting the distribution of Glipa. Currently, the suitable distribution areas of Glipa are mainly located in East Asia, Southeast Asia, eastern North America, South America, and central and western Africa. Under future climate scenarios, the area of suitable habitat is expected to increase gradually as global temperatures rise. Under the SSP585 scenario in the 2070s, the suitable habitat area is projected to expand by 53.89% compared to the present. Additionally, the centroid of suitable habitat is expected to shift northward. This study not only deepens the understanding of the distribution patterns of Glipa and their response to climate change but also provides important scientific evidence for the conservation of pollinator diversity. Full article

Firstly, this study investigates the spatiotemporal distribution characteristics of the ozone (O₃) pollution in Liaoyuan City using monitoring data from 2015 to 2024. Then, three machine learning models (ML)—random forest (RF), support vector machine (SVM), and artificial neural network (ANN)—are employed to quantify the influence of meteorological and non-meteorological factors on O₃ concentrations. Finally, the HYSPLIT clustering method and CMAQ model are utilized to analyze inter-regional transport characteristics, identifying the causes of O₃ pollution. The results indicate that O₃ pollution in Liaoyuan exhibits a distinct seasonal pattern, with the highest concentrations found in spring and summer, peaking in the afternoon. Among the three ML models, the random forest model demonstrates the best predictive performance (R² = 0.9043). Feature importance identifies NO₂ as the primary driving factor, followed by meteorological conditions in the second quarter and land surface characteristics. Furthermore, regional transport significantly contributes to O₃ pollution, with approximately 80% of air mass trajectories in heavily polluted episodes originating from adjacent industrial areas and the sea. The combined effects of transboundary precursors and O₃ transport with local emissions and meteorological conditions further increase the O₃ pollution level. This study highlights the need to strengthen coordinated NO_X and VOCs emission reductions and enhance regional joint prevention and control strategies in China. Full article

Background/Objectives: Veterans differ in sociodemographic composition and experience higher frequencies of disability than non-Veterans of the same age. Yet the epidemiology of the long-term care needs of Veterans, specifically activities of daily living (ADLs) and instrumental activities of daily living (IADLs), remains an important gap in the literature. The objectives of this study were to (1) characterize Veterans across levels of hierarchy of ADL and IADL support needs; (2) compare Veterans across the degree of need for help, from those who can still “self-manage” to those with an “unmet need”; and (3) identify the types and prevalence of ADL and IADL need combination patterns. Methods: This study used cross-sectional data from the 2021 administration of the HERO CARE survey. We included Veterans ages 65+ in our analyses (N = 7424). We calculated the overall weighted descriptive statistics across a hierarchy of ADL and IADL problems and the degree of need for help. One-way ANOVA for continuous variables and Rao–Scott chi-square tests for categorical variables were conducted to examine associations between groups, followed by post hoc pairwise comparisons, as appropriate. Results: Veteran respondents mean age was 82.3 (SD: 8.2 years), and most were male, non-Hispanic White, and married. In weighted analyses, more Veterans with both ADL and IADL problems compared to only ADL problems reported food insecurity, missed appointments, low health literacy, and depression. Among Veterans with ADL or IADL problems, 32.3% reported an unmet need for help. Almost a quarter of Veterans with ADL problems reported difficulties performing all eight ADLs (23.9%), and over a quarter of Veterans with IADL problems reported difficulties performing all seven IADLs (31.3%). Conclusions: Our findings show that Veterans are demographically and clinically different based on their hierarchy of impairment and degree of need for help. Identifying the patterns and prevalence of ADL and IADL needs among Veterans provides valuable information to align the Veterans Affairs (VA) programs and services with Veterans’ needs. Full article