Search Results (1,892)

Climate change is driving the need for forest management strategies that simultaneously enhance ecosystem resilience and contribute to climate change mitigation. Voluntary carbon markets (VCMs), regulated in the European Union by the Carbon Removal Certification Framework (CRCF), offer potential financial incentives for such management, but eligibility criteria—particularly biodiversity requirements—limit the applicability of certain species. This study assessed the ecological and economic outcomes of six alternative management scenarios for a 4.7 ha, 99-year-old Scots pine (Pinus sylvestris) stand in western Hungary, comparing them against a business-as-usual (BAU) regeneration baseline. Using field inventory data, species-specific yield tables, and the Forest Industry Carbon Model, we modelled living and dead biomass carbon stocks for 2025–2050 and calculated potential CO₂ credit generation. Economic evaluation employed total discounted contribution margin (TDCM) analyses under varying carbon credit prices (€0–150/tCO₂). Results showed that an extended rotation yielded the highest carbon sequestration (958 tCO₂ above BAU) and TDCM but was deemed operationally unfeasible due to declining stand health. Black locust (Robinia pseudoacacia) regeneration provided high mitigation potential (690 tCO₂) but was ineligible under CRCF rules. Grey poplar (Populus × canescens) regeneration emerged as the most viable option, balancing biodiversity compliance, climate adaptability, and economic return (TDCM = EUR 22,900 at €50/tCO₂). The findings underscore the importance of integrating ecological suitability, market regulations, and economic performance in planning carbon farming projects, and highlight that regulatory biodiversity safeguards can significantly shape feasible mitigation pathways. Full article

The multifunctional role of forests in supplying renewable biomaterials and delivering ecosystem services (ESs) is often overlooked in standard life cycle assessment (LCA) methodologies, despite its relevance for sustainable construction. This study developed the BioCons Impact Compensation Model (ICM), which integrates ES into life cycle inventory (LCI) databases and quantifies proprietary BioCons Mitigation Indicators, capturing additional environmental information, ensuring transparency, and preventing greenwashing. Using structural Scots pine in Spain as a case study, the GWP_-luluc-roots indicator was found to be 226.84 kg CO_2-eq/FU, representing 36% of the biogenic carbon (616.45 kg CO_2-eq/FU), highlighting the contribution of root-derived carbon to long-term soil carbon storage. The BioCons Mitigation Indicators demonstrate that mitigation generally exceeds environmental impacts, except for HTP-nc-inorganics, with surplus ES available as biocredits to offset emissions in other life cycle stages. Integrating these indicators into environmental product declarations (EPDs) provides a transparent and accurate view of environmental performance. The results validate the hypothesis that forest bio-based construction products (FBCPs) act as carriers of ESs embedded in derived products, supporting more comprehensive and robust sustainability assessments. Full article

With the development of global maritime trade, ship emissions pose an increasing threat to the global atmospheric environment, especially in international navigation waters and important port areas, where their impact on coastal air quality and ecosystems is becoming increasingly significant. This study proposes a high-throughput gridding algorithm (H-Grid) based on spatial hashing to rapidly generate ship emission inventories, which overcomes the inefficiency of traditional methods caused by complex index building and maintenance. The H-Grid algorithm achieves a constant processing time per data point and possesses inherent parallelism. Based on the H-Grid algorithm, taking the Yellow Sea area between China and Republic of Korea as a case study, the emissions of atmospheric pollutants from ships in 2024 were calculated, and their spatiotemporal distribution characteristics were analyzed. In our empirical study, the algorithm’s computational efficiency for processing millions of AIS records was improved by over 10 times compared to traditional geometric calculations, and by more than 4 times when compared to mainstream database spatial queries. Our findings provide an efficient tool for large-scale maritime emission analysis, strongly supporting the green development of global shipping. Full article

This study assesses and inventories agrodiversity within eleven representative oases of the pre-Saharan regions of Morocco, ecosystems that are particularly vulnerable to climate change and socio-economic pressures. The findings highlight the central role of fruit tree diversity in structuring and sustaining the resilience of oasis agroecosystems, complementing cereal and fodder crops. Special attention was given to the pomegranate (Punica granatum L.), a secondary but underutilized fruit species in Moroccan agriculture, which was found to hold a significant position in the surveyed oases. Farmer and community surveys identified five local denominations or varieties, including an original form known as “Guersmoum” or “Hamed,” distinguished by its spontaneous, non-cultivated character. This unique case exemplifies the remarkable coexistence between wild and domesticated forms, reflecting the complex dynamics between cultivated and wild biodiversity. The presence and use of this variety are closely linked to the production of a traditional local agri-food product, pomegranate molasses (“Amaghousse”), an artisanal know-how transmitted across generations and primarily preserved by women. The study documents several aspects of this practice, including processing techniques, yield ratios, and marketing channels, emphasizing both the economic and cultural significance of this local product. The discussion underscores the close interconnections between traditional knowledge, gendered practices, and the conservation of genetic diversity, showing how the promotion of local resources contributes not only to the preservation of agrodiversity but also to the maintenance of oasis cultural identities. Finally, the study highlights the broader implications of these findings for development initiatives, particularly through the recognition and promotion of distinctive local agri-food products, the integration of women in local conservation strategies, and the implementation of sustainable management approaches for fruit genetic resources. Full article

Urban air pollution in Kazakhstan poses persistent risks; this study synthesizes measured concentrations, source evidence, and policy responses to inform mitigation in cold, inversion-prone cities. We compile national monitoring (Kazhydromet), community PM_2.5 sensors, emissions inventories and recent CEMS provisions, and appraise modeling approaches (Gaussian screening, Eulerian CTMs, and data-driven forecasting). Seasonal descriptive comparisons are performed for Astana using 56,944 observations (2023–2024), partitioned into heating and non-heating periods, and published receptor apportionment is integrated. Across major cities, annual PM_2.5 generally exceeds WHO guidelines and winter stagnation drives episodes. In Astana, the heating season means rose relative to non-heating equivalents—PM_2.5 12.3 vs. 10.6 μg m⁻³ (+16%) and SO₂ 21.9 vs. 14.8 μg m⁻³ (+23%)—while NO was unchanged; higher means but lower medians indicate episodic winter peaks. Receptor analyses attribute large shares of PM_2.5 to traffic (spark-ignition engines 30% and diesel 7%) and coal-related contributions including secondary nitrate (15%), consistent with power/heat and vehicle dominance. Evidence supports prioritizing clean heating (coal-to-gas and efficiency), transport emission controls, and dense monitoring to enable accountability within Kazakhstan’s Environmental Code and decarbonization strategy. A tiered modeling workflow can quantify intervention impacts and deweather trends; the near-term focus should be on reducing winter exposures. Full article

Transmission lines often traverse mountainous regions prone to frequent geological hazards, making it of great practical significance to analyze the spatial distribution patterns of landslide traces along the transmission line corridors. This study focuses on the Hubei section of the ±800 kV ultra-high-voltage (UHV) transmission line from the upper reaches of the Jinsha River to Hubei. Based on high-resolution remote sensing imagery provided by Google Earth, a landslide traces inventory was constructed through visual interpretation. In addition, 13 factors, such as elevation, slope, aspect, relief, soil type and land cover, were selected to analyze the spatial distribution of landslides. The results indicate the following: (1) There are at least 18,598 landslides in the study area, with a total area of approximately 2671.82 km². The spatial distribution is uneven, exhibiting a general pattern of “dense in the west, sparse in the east”. The maximum landslide number density (LND) reaches 4.16 km⁻², and the maximum landslide area percentage (LAP) is 0.83%. (2) Landslides are predominantly distributed in areas with elevations of 278–1059 m, slope gradients of 20–30°, northwest and southeast aspects, surface roughness values of 400–600, Triassic and Jurassic strata, evergreen coniferous forest and sparse forest, as well as lixisols and ferrallitic soil. This study established a landslide traces database for the region, preliminarily revealing the distribution characteristics of landslides and their dominant controlling factors. It provides a scientific basis for geological hazard risk assessment and prevention for UHV transmission lines. Full article

Accurate and detailed mapping of coastal wetlands is essential for effective wetland resource management. However, due to periodic tidal inundation, frequent cloud cover, and spectral similarity of land cover types, reliable coastal wetland classification methods remain limited. To address these issues, we developed an integrated pixel- and object-based hierarchical classification strategy based on multi-source remote sensing data to achieve fine-grained coastal wetland classification on Google Earth Engine. With the random forest classifier, pixel-level classification was performed to classify rough wetland and non-wetland types, followed by object-based classification to differentiate artificial and natural attributes of water bodies. In this process, multi-dimensional features including water level, phenology, variation, topography, geography, and geometry were extracted from Sentinel-1/2 time-series images, topographic data and shoreline data, which can fully capture the variability and dynamics of coastal wetlands. Feature combinations were then optimized through Recursive Feature Elimination and Jeffries–Matusita analysis to ensure the model’s ability to distinguish complex wetland types while improving efficiency. The classification strategy was applied to typical coastal wetlands in central Jiangsu in 2020 and finally generated a 10 m wetland map including 7 wetland types and 3 non-wetland types, with an overall accuracy of 92.50% and a Kappa coefficient of 0.915. Comparative analysis with existing datasets confirmed the reliability of this strategy, particularly in extracting intertidal mudflats, salt marshes, and artificial wetlands. This study can provide a robust framework for fine-grained wetland mapping and support the inventory and conservation of coastal wetland resources. Full article

Burnout is increasingly recognized as both a psychosocial and a chronobiological disorder characterized by endocrine dysregulation and circadian disruption. It arises from chronic occupational stress and manifests through psychological, physical, and physiological symptoms. Although psychosocial determinants are well established, the biological and chronobiological mechanisms, particularly those involving cortisol and melatonin, remain less explored. This systematic review synthesizes current evidence on hormonal and circadian dysregulation in burnout and complements it with exploratory observational data from healthcare professionals. Peer-reviewed studies evaluating endocrine or circadian biomarkers in individuals with burnout were systematically reviewed. In addition, an exploratory observational analysis was carried out among 195 Romanian clinicians using an adapted Maslach Burnout Inventory. Morning salivary cortisol was measured once at 9 a.m. in a small subsample (n = 26) to provide preliminary physiological data. Because only a single time point was obtained, these values were interpreted as indicative of stress-related activation rather than circadian rhythm. Thirty-seven studies met the inclusion criteria. Across the literature, burnout was associated with altered HPA-axis activity, blunted diurnal cortisol variation, and irregular melatonin secretion related to shift work and disrupted sleep–wake cycles. Complementary exploratory data from our Romanian cohort indicated strong correlations between burnout severity, physical symptoms, and higher morning cortisol values among shift-working clinicians. These findings are preliminary and not representative of full circadian profiles. Burnout should be considered both a psychosocial and a systemic disorder influenced by endocrine and circadian dysregulation. Recognizing alterations in cortisol and melatonin as objective indicators may facilitate earlier detection and inform chronobiological interventions such as optimized scheduling, light exposure management, or melatonin therapy. The observational data presented here is preliminary and intended to generate hypotheses; future research should employ repeated cortisol sampling under controlled Zeitgeber conditions to confirm circadian associations. Full article

Mental health (MH) in university students is often studied through isolated variables. However, a dynamic systems perspective suggests that psychological well-being results from interactions among multiple dimensions such as personality, mood, resilience, self-esteem, and psychological distress. A total of 928 university students (M = 21.01 ± 1.95) completed validated questionnaires: Big Five Inventory (BFI-44) for personality, Profile of Mood States (POMS), Connor-Davidson Resilience Scale (CD-RISC 25), Rosenberg Self-Esteem Scale, and Depression Anxiety Stress Scale (DASS-21). Exploratory Graph Analysis (EGA) using the EGAnet package in RStudio (v. 2025.09.01) was employed to identify latent dimensions and their interconnections. EGA revealed five stable and interconnected dimensions with good fit indices (TEFI = −9.00; ≥0.70): (a) Personality as socio-emotional regulation, (b) Mood as a generalized affective continuum, (c) Resilience as a unified coping process, (d) Self-esteem based on competence and self-worth, and (e) Psychological distress integrating depression, anxiety, and stress. MH appears as a complex and dynamic network of interrelated psychological components. This network-based approach provides a more integrative understanding of well-being in students and supports the development of interventions that target multiple dimensions simultaneously, enhancing effectiveness in academic settings. Full article

We develop a comprehensive dynamic Walrasian framework entirely in $L^{\infty }$ so that prices and allocations are essentially bounded, and market clearing holds pointwise almost everywhere. Utilities are allowed to be locally Lipschitz and quasi-concave; we employ Clarke subgradients to derive generalized quasi-variational inequalities (GQVIs). We endogenize inventories through a capital-accumulation constraint, leading to a differential QVI (dQVI). Existence is proved under either strong monotonicity or pseudo-monotonicity and coercivity. We establish Walras’ law, and the complementarity, stability, and sensitivity of the equilibrium correspondence in $L^2$-metrics, incorporate time-discounting and uncertainty into $\Omega \times [0,T]$, and present convergent numerical schemes (Rockafellar–Wets penalties and extragradient). Our results close the “in mean vs pointwise” gap noted in dynamic models and connect to modern decomposition approaches for QVIs. Full article

Background/Objectives: We compared the efficacy of audiovisual sexual stimulation (AVSS) using 3D virtual glasses with a desktop monitor. Methods: In this randomized crossover study, 60 patients with ED underwent two penile duplex Doppler ultrasound sessions 1 week apart, each after intracavernosal prostaglandin E1 injection. Patients were randomly assigned to receive AVSS via 3D virtual glasses or a desktop monitor in the first session, with crossover in the second. We measured the resistive index (RI), erectile hardness score (EHS), peak systolic velocity (PSV), anxiety (State-Trait Anxiety Inventory), and satisfaction (visual analog scale). Results: 3D virtual glasses were associated with superior outcomes. The linear mixed models analysis showed higher adjusted mean RI (p < 0.001), PSV (p < 0.001), and satisfaction (p < 0.001) for 3D glasses. Generalized estimating equations analysis showed patients were 6.68 times more likely to achieve functional erection (EHS ≥ 3) with 3D glasses (odds ratio 6.68, 95% confidence interval [2.54, 17.55], p < 0.001). Anticipatory anxiety before subsequent examinations was lower with virtual glasses (p < 0.001). Conclusions: AVSS with 3D virtual glasses is associated with superior hemodynamic parameters and clinical responses consistent with reduced false-positive diagnoses. It also lowers anticipatory anxiety for subsequent procedures, enhancing patient experience. Full article

Objective: This short-term prospective observational study aimed to evaluate the efficacy of vestibular rehabilitation therapy (VRT) in Patients Diagnosed with Persistent Postural-Perceptual Dizziness (PPPD). Methods: Given the exploratory design, the small sample (n = 25) and absence of a formal power calculation limit precision, findings should be interpreted as preliminary, and confirmatory trials are warranted. Patients were assessed before (T1), immediately after a five-week vestibular rehabilitation program (T2), and again three months later without continued therapy (T3). Clinical symptoms were assessed using the Dizziness Handicap Inventory (DHI). A Generalized Estimating Equations (GEE) model was used to analyze changes in dizziness-related physical, emotional, and functional impacts over time, accounting for sex and its interaction with time. Statistical significance was tested using the Wald test, with results reported as estimated means and standard errors (SEs), and a significance level set at p ≤ 0.05. Results: The mean age of participants was 44.48 ± 14.43 years, and the majority were women (84%). In the functional domain, the mean score difference was 6.69 points between T1 and T2 (p = 0.018), 7.11 points between T1 and T3 (p = 0.013), and 0.42 points between T2 and T3 (p > 0.05). In the emotional domain, the mean difference was 4.12 points between T1 and T2 (p = 0.008), 4.40 points between T1 and T3 (p = 0.005), and 0.29 points between T2 and T3 (p > 0.05). In the physical domain, the mean difference was 3.77 points between T1 and T2 (p = 0.024), 4.32 points between T1 and T3 (p = 0.009), and 0.55 points between T2 and T3 (p > 0.05). For the total score, the mean difference was 14.58 points between T1 and T2 (p = 0.005), 15.83 points between T1 and T3 (p = 0.003), and 1.25 points between T2 and T3 (p > 0.05). The moment variable had a statistically significant effect across all domains. Sex had a significant effect only in the emotional domain, with women consistently reporting higher scores than men. Conclusions: This study demonstrates that a five-week vestibular rehabilitation program significantly improves the physical, emotional, and functional impacts of dizziness in patients with PPPD, with these benefits largely sustained three months after the intervention. Emotional improvements were particularly notable among women, highlighting potential sex-related differences in response to treatment. These findings underscore the importance of addressing emotional health in PPPD management and support the long-term effectiveness of vestibular rehabilitation in improving patient outcomes. Full article

Research on big data analytics (BDA) and supply chains often inventories “capabilities” but rarely explains how firms progress through adoption—or how governance over data and related resources shapes resilience outcomes. Drawing on 16 semi-structured interviews with senior managers in the manufacturing sector, we analyze organizational practices around data, analytics, and decision-making and synthesize a governed-adoption process framework. The framework specifies how five governance levers—ownership, standards, stewardship, access, lineage—operate differentially across four adoption gates (data plumbing—descriptive monitoring—predictive alerting—prescriptive decisioning). To move beyond staged descriptions, we make the underlying generative mechanisms explicit—Comparability, Explainability, Authorization, Fidelity, Executability—and link them to dynamic-capability micro foundations (sensing, seizing, reconfiguring) via decision-latency outcomes (“resilience timers”: Time-to-Detect, Time-to-Decide, Time-to-Reconfigure, Time-to-Recover). Brief deviant-case contrasts (e.g., notification without action; dashboards without owners) clarify boundary conditions under which governance enables or impedes resilient action. We also state concise, testable propositions (e.g., standards+lineage as a necessary condition for improving Time-to-Detect; ownership+access as necessary for improving Time-to-Decide) and provide gate exit-criteria to support evaluation and future comparative tests. Claims are bounded to analytic generalization from a single-country, manufacturing-sector qualitative sample; we make no assertion of statistical validation. Practically, the framework prioritizes governance work ahead of tool spend, helping organizations convert dashboards into repeatable decisions at speed. Full article

Background/Objectives: Ingestion of galactooligosaccharides (GOSs) or GOS mixtures has been purported to improve exercise-induced gastrointestinal (GI) distress and post-exercise recovery. However, the effects have not been explored in recreationally trained endurance athletes. This triple-blind randomised controlled trial, therefore, investigated whether 12 weeks of B-GOS^® supplementation affects gastrointestinal comfort and psychological wellbeing in recreational athletes. Methods: Eighteen physically active individuals (12 males, 8 females, 44 ± 14 years, 1.7 ± 0.1 m and 73 ± 14 kg) volunteered for this study. Participants were assigned to independent groups in a placebo-controlled, triple-blind manner via stratified randomisation. A 20 min run at 80% VO_2max was completed, with measures for GI distress and Competitive State Anxiety Inventory-2 questionnaire (CSAI-2) pre- and post-exercise. A 12-week supplementation period then ensued, where participants ingested either 3.65 g of B-GOS or an appearance-matched maltodextrin placebo. During this time, physical activity levels (IPAQ-7), general stress (REST-Q), mental wellbeing (WEMWBS), and sleep (core consensus sleep diary) were measured at regular time points. Results: There were no significant differences in VO_2max (p = 0.437), GI discomfort (p = 0.227), or CSAI-2 (p = 0.739–0.954) from pre- to post-exercise at any time point or between conditions. Over the 12 weeks there were no significant differences between B-GOS and placebo in IPAQ-7 (p = 0.144–0.723), REST-Q (p = 0.282–0.954), WEMWBS (B-GOS pre = 51 ± 10, post = 53 ± 7; PLA pre = 51 ± 4, post 54; p = 0.862), or sleep (p = 0.065–0.992). The linear mixed model suggests that some may benefit on an individual level in terms of WEMWBS, general stress score, recovery-related scores, sleep, and sport-specific recovery score. Conclusions: There were no group benefits of B-GOS supplementation compared with placebo, although the individual variation may warrant further research in larger sample sizes and longer-duration studies. Full article

Aim: To evaluate basal well-being and the effects of a Mindfulness-Based Stress Reduction (MBSR) program in health-care professionals (HCPs), a recognized worker category subjected to elevated stress from job conditions. Methods: A quasi-experimental pre–post study was conducted in Italian HCPs. Well-being (assessed by Psychological General Well-Being Index-PGWBI), stress (Perceived Stress Scale-PSS), and burnout (Maslach Burnout Inventory-MBI) were collected at baseline and after an MBSR program. Moreover, levels of C reactive protein, glucose, and lipid profiles were also monitored in a subgroup. Results: At baseline, Total-PGWBI score value evidenced no distress, whereas Total-PSS and MBI dimensions (emotional exhaustion—EE, depersonalization and detachment from the job—DP, and lack of personal or professional accomplishment—PA) indicate moderate distress. After MBSR, PGWBI, PSS, and MBI dimensions significantly improved. Moreover, significant benefits on lipid profile were observed after MBSR. Conclusions: MBSR may be a promising method to improve well-being and lipid profile in HCPs. Thus, MBSR might represent a new future complementary prevention tool for mental and physical health maintenance in this category of workers. Full article