Search Results (529)

In inland river basins, the coupling relationship among water, sediment, and phosphorus is essentially the redistribution of phosphorus carried in the river system, and the presence of plants affects its transport and distribution. Meanwhile, fish are the most important component in river ecosystems, and the transport patterns of water, sediment, and phosphorus directly affect the living environment of fish. This study focuses on the coupling relationship among water–sediment–phosphorus and the suitability of fish habitats. By developing a sediment transport program and constructing a coupled movement model through numerical simulation, combined with the fuzzy mathematical theory, an evaluation model for fish habitat suitability is established to explore the coupling transport patterns of water–sediment–phosphorus near the riverbank plant areas and the distribution characteristics of fish habitats. The study found that the flow velocity near arbor is low and vortex structures exist, and the flow velocity values between the plants in the spanwise direction are high, leading to significant bank erosion. Among them, the erosion near arbor is severe, and the depth of erosion pits on the shallow water side is large. The transport of suspended sediment and phosphorus is closely related to water flow movement. In the spanwise direction between plants, sediment and phosphorus high-concentration areas are layered in a “strip” shape along the flow direction. Turbulent water flow drives the suspension of riverbed sediment and releases high phosphorus flux. Arbors have a significant impact on phosphorus transport, and the diffusion of dissolved phosphorus in pore water in some areas is prone to increase the concentration of phosphorus in the water body. The nitrogen–phosphorus ratio is regularly distributed, and the ratio between plants in the spanwise direction is close to the Redfield value, which is suitable for the growth of phytoplankton. In terms of fish habitats, areas near bank plants are not suitable for the survival of juvenile fish. The suitable areas for fish spawning are mainly distributed between plants in the spanwise direction, and the area is relatively small, but plants can provide emergency shelter. The innovation of this study lies in constructing a coupled movement model of water–sediment–phosphorus and an evaluation model for fish habitat suitability, clarifying the mechanism of plant influence on phosphorus migration in nearshore sediment and the distribution pattern of fish habitat suitability. The research results can provide important theoretical support and practical reference for the management of water environment and aquatic ecosystems in inland river basins. Full article

Nova Scotia is positioned to become the first Canadian province to develop offshore wind energy. Recently, Nova Scotia announced four Wind Energy Areas (WEAs) selected for bidding following extensive review of ecological and land-use considerations. In selecting these areas, the effect of climate change and extreme winds was neglected. This study looks to assess the impact of climate change, extreme winds, and tropical cyclones on turbine siting across the Scotian Shelf with a focus on the four WEAs. Analysis of historical wind climate using ERA5 reanalysis data and return period methods reveals that extreme winds intensify with distance from shore, with the highest values concentrated near Sable Island and outer shelf regions. Fifty-year return wind speeds across the WEAs range from approximately 40.7 to 45.4 m/s, resulting in IEC Class II designation for Sable Island Bank and Class III for the remaining sites. Projections derived from CMIP6 climate models indicate that future mean wind speed changes are modest across all emission scenarios, always within 4% of the historical baseline. Critically, these projected changes do not alter the IEC turbine class designations for any WEA, suggesting that classifications based on historical data remain valid under the range of climate futures considered. Three recommendations are made to strengthen future assessments: expanding the buoy observation network on the Scotian Shelf; investigating the influence of climate indicators such as sea surface temperatures on extreme winds and tropical cyclone activity; and conducting targeted measurement campaigns within the WEAs to support site-specific analysis and developer confidence. Full article

Agricultural public policy analysis in Mexico is hampered by data fragmentation across 32 decentralized state agencies. This study presents the Mexican Agricultural Policy Observatory (MAPO), a digital governance tool developed using R-Shiny to centralize and visualize policy information. Through a systematic audit and functional classification adapted from World Bank frameworks, 429 were analyzed. Results indicate a significant concentration in financing (42%) and a critical gap in commercialization support. MAPO enhances transparency and enables evidence-based policymaking by cross-referencing policy data with production metrics, facilitating the identification of regional priorities and strategic opportunities for integrated agricultural development. Full article

This paper studies the topic that has been rather less explored until now—the internal diversification of trading. Unlike looking at aggregate measures of financial development such as market capitalization and liquidity, the study focuses on trading diversification, defined as the portion of trading volume attributed to firms other than the ten most actively traded (VTX). The empirical analysis is based on the World Bank’s Global Financial Development database. It covers an unbalanced cross-country dataset of 2004–2021. Due to limited data availability, the resulting database became smaller and has an unbalanced panel structure. Four main independent variables in the core regression specification are related to financial structure (bank deposits) and financial integration (remittances, international public debt), as well as external measures of financial development (market capitalization, excluding firms within VTX). A broad range of control variables are introduced into the model to account for macroeconomic conditions, financial development, market size, liquidity, and participation. Lagged regressors are introduced to address persistence, delays, and potential endogeneity issues. The methodology relies on panel data econometrics, hierarchical clustering, and machine learning. The findings show that market structure and remittances positively affect trading diversification, whereas banks’ dominance and international public debt contribute to its concentration. The results persist across alternative specifications and robustness tests. The country-level analysis shows a core–periphery pattern, while machine learning demonstrates the critical importance of market structure. Full article

Aligning mental health research with territorial health needs remains a critical goal, yet the global distribution, coherence, and impact of scientific output across income groups remain poorly understood. We conducted a meta-research study combining scientometric analyses with longitudinal data on 60 health and development indicators. Over 386,000 peer-reviewed publications were retrieved from five major databases. Linear regressions, meta-analyses, and meta-regressions were performed, stratified by World Bank income classification. We find that high-income countries (HICs) accounted for 67% of publications, exhibiting the highest research density but the lowest potential marginal health returns. In contrast, low-income countries (LICs) showed the strongest associations between research volume and improvements in life expectancy (β = 0.13; p < 0.01) and child mortality (β = −1.38; p < 0.01). Structural moderators such as governance quality, health expenditure, and education explained up to 48% of between-group variance. In conclusion, the global landscape of mental health research remains unequal. While scientific production is concentrated in HICs, its population-level association is greatest in LICs. These findings underscore the need to redirect investments and enhance research coherence with health needs, particularly through governance safeguards and capacity building in underrepresented regions. Full article

Prolonged downturns in the global economy have simultaneously increased banks’ credit risk exposures and intensified the need for effective liquidity management. This study develops a dynamic agent-based financial network comprising banks, depositors, firms, and the central bank to examine trade-offs in bank resolution under coupled liquidity and credit risks from the perspective of systemic stability. The simulation results show that, for liquidity risk management, when banks adopt the asset-sale strategy, both default probability and expected returns in the banking system exhibit a nonlinear pattern: they first decline and then rise as the asset depreciation ratio increases. Furthermore, at moderate levels of asset depreciation, the asset-sale strategy helps preserve heterogeneity within the banking system, thereby preventing excessive risk concentration, and performs better than the liability-expansion strategy. Regarding credit risk resolution, the debt-relief strategy significantly improves systemic stability, whereas the effectiveness of the debt-extension strategy depends critically on liquidity management conditions. Under liability-expansion scenarios, default risk initially declines but later rises as debt maturity is extended, whereas expected returns move in the opposite direction. Under asset-sale conditions, the debt-extension strategy enhances systemic stability only when the allowable number of debt extensions is sufficiently high. The analysis of strategic trade-offs indicates that combining the debt-relief strategy with the asset-sale strategy generates a positive synergistic effect and strengthens systemic resilience, whereas the interaction between the debt-extension and asset-sale strategies produces offsetting effects. These findings offer useful implications for banks and regulators in designing coordinated and adaptive frameworks for risk resolution and systemic stability. Full article

Background: Bladder cancer disproportionately affects non-high-income countries, yet clinical trials underrepresent global diversity. We assessed global availability of bladder cancer trials, their alignment with disease burden, and barriers to equitable care. Methods: We queried ClinicalTrials.gov for adult bladder cancer trials from June 2019 to June 2024, excluding observational and non-oncologic trials. Trial characteristics were summarized descriptively, and country data came from the Global Cancer Observatory. Countries were classified per World Bank Ranking (WBR) into high-income (HICs), upper middle-income (UMICs), lower middle-income (LMICs), and low-income countries (LICs). Trials were categorized as HIC-only, non-HIC, or mixed-income trials. Fisher’s exact and Kruskal–Wallis tests compared groups. Multivariable logistic regression assessed associations between trial availability and WBR, national health expenditure, and gross national income (GNI). Univariable linear regression and ANOVA assessed the association between the mortality-to-incident ratio and WBR. Results: Of 611 trials, 75.1% were HIC-only, 16.9% non-HIC, and 8.0% mixed-income trials. Non-HIC trials were mainly academic-sponsored (80.6%), while all mixed-income trials had pharmaceutical sponsorship (p < 0.001). Non-HIC trials had lower enrollment, less pharmaceutical funding, fewer multinational collaborations, and fewer basket, multi-arm, early-phase designs (all p < 0.001). Mixed-income trials were larger, led by HICs, had broader eligibility criteria, more novel therapies, and more frequent use of overall survival endpoints. Trial availability was lower in UMICs (p = 0.011), LMICs (p = 0.024), and absent in LICs, and positively associated with higher national health expenditure (p = 0.007) and GNI (p = 0.001). Conclusions: Bladder cancer trials remain concentrated in HICs. Mixed-income trials expand access in non-high-income countries, but are exclusively led by HICs and require balanced sponsorship, early-phase research, and lasting local benefits. Full article

Mauritius, as a Small Island Developing State (SIDS), depends heavily on tourism and is therefore exposed to external shocks; this study examines how the sector’s performance and value capture evolved from 2010 to 2025, with particular attention to the COVID-19 disruption and subsequent recovery. The analysis uses only secondary data, combining arrivals and source-market breakdowns published by the Ministry of Tourism with the monthly series of gross tourism earnings released by the Bank of Mauritius. Trends and seasonality are described for both arrivals and earnings, and three indicators are derived to support interpretation: revenue per arrival (as a proxy for value capture), the intensity of seasonality, and the concentration of source markets. The results document the magnitude of the pandemic-related break, trace the timing of the rebound, and show how value capture and market concentration shifted between the pre- and post-COVID periods. The paper concludes by discussing the implications for resilience in island destinations, highlighting the need for diversification and higher-value positioning, and proposing a replicable monitoring approach that can be updated as new official data become available. Full article

Acoustic indices are popular tools for rapid biodiversity assessment using passive acoustic monitoring recordings, yet anthropogenic sounds in human activity areas compromise their robustness. In this paper, we focus on the typical urban–rural soundscape, where anthropogenic noise mainly originates from a narrow angular sector far from the monitoring device. We propose a denoising preprocessing algorithm with two microphone sensors for the robust application of existing acoustic indices. Our algorithm first develops an adaptive multi-tap null-steering beamformer based on a back-to-back first-order differential microphone array, which increases the system degrees of freedom to enhance the broadband interference cancellation capability. Building on this, a parallel bank of mutually orthogonal null-steering beamformers is proposed, each forming deep nulls toward directional interference-concentrated bands and generating diverse responses to the target signal. Finally, a signal compensation mechanism is applied to the beamformers’ outputs, mitigating the signal self-cancellation effects from these unconstrained adaptive beamformers prior to index calculation. The proposed preprocessing method is evaluated using the frequency-dependent acoustic diversity index as a representative of acoustic indices. Experiment results on both simulation and real-world recordings show that the proposed method generates high-fidelity acoustic information for subsequent acoustic index calculation over a much wider signal-to-interference-plus-noise ratio (SINR) range in urban–rural soundscapes characterized by directional anthropogenic interference. Full article

To enhance the utilization efficiency of limited ecological water, this study conducted field ecological irrigation experiments in a typical desert riparian forest in the lower reaches of the Tarim River. Based on the experimental data, a soil water transport model under the overflow irrigation mode was constructed using the HYDRUS-2D (version 2.04) model. Based on the model, numerical simulation scenarios of different irrigation schemes were designed to provide key evidence for the scientific utilization of water resources in the ecological restoration of desert riparian forests. Simulation results indicate that (1) more irrigation water does not necessarily yield better results. When the total irrigation volume is the same, conducting overflow irrigation in two separate applications significantly outperforms a single concentrated irrigation in terms of soil moisture replenishment and maintenance, with an optimal interval of 20 h between applications. (2) For single overflow irrigation, the optimal water depth is 5 cm. (3) For two-stage irrigation, the available water resources and core objectives must be considered. When water is plentiful, and it is necessary to replenish moisture in the lower soil layers, the 5 cm + 5 cm scheme is optimal; if irrigation water is limited, the 3 cm + 3 cm scheme is more efficient. These schemes can effectively activate the seed bank in the surface soil while supplying water to the root systems of desert riparian vegetation, thereby promoting the restoration and growth of desert vegetation and achieving the goal of ecological sustainability. Full article

The accumulation of petroleum-based plastics demands sustainable alternatives such as polyhydroxyalkanoates (PHAs), biodegradable polyesters synthesised by numerous prokaryotes. However, high feedstock costs limit their commercialisation. This study evaluated cocoa mucilage, an underutilised by-product of the Ecuadorian cacao sector, as a low-cost carbon source for PHA production by a wild-type strain isolated from cocoa fruit residues. Bacteria were recovered from cocoa mucilage and pod shell fractions and screened for PHA accumulation by Sudan Black B staining with UV–Vis spectrophotometric confirmation. A single PHA-positive isolate, designated Priestia aryabhattai strain NBP01-UTN (GenBank accession OR567321.1; 99.88% 16S rRNA gene sequence identity to the type strain B8W22T), was recovered from the cocoa shell surface—representing, to the best of our knowledge, the first report of a PHA-producing P. aryabhattai from cacao fruit residues. Fermentation conditions were optimised using the response surface methodology with a central composite design evaluating temperature, pH, and ammonium sulphate concentration. The fitted quadratic model was highly significant (R² = 0.978, p < 0.0001), indicating that temperature and nitrogen limitation were the dominant factors. Optimal conditions (40 °C, pH 7.30, 0 g·L⁻¹ (NH₄)₂SO₄) yielded 0.496 g·L⁻¹ PHA at 24 h (productivity ≈ 20.7 mg·L⁻¹·h⁻¹). Notably, no external nitrogen supplementation was required, as the endogenous nitrogen in cocoa mucilage sufficed to sustain growth whilst triggering the nutrient imbalance needed for PHA biosynthesis. FTIR and DSC analyses provided spectroscopic and thermal evidence consistent with poly(3-hydroxybutyrate) (PHB), although definitive monomer-level confirmation requires GC–MS or NMR spectroscopy. These results demonstrate the feasibility of coupling a locally isolated wild-type strain with cocoa mucilage to produce bioplastic within a circular bioeconomy framework. Full article

Background and Objectives: The microbiome plays a pivotal role in male infertility, with distinct microbial species exerting both beneficial and deleterious effects on reproductive function. Sexually transmitted bacteria and several viruses, including human papillomavirus (HPV), have been identified in semen. This cross-sectional study aimed to examine the prevalence of single and co-infections of sexually transmitted bacteria (STB)—such as Chlamydia trachomatis, Mycoplasma spp., and Ureaplasma spp.—with various HPV subtypes in Greek male partners of infertile couples and to evaluate their potential impact on sperm parameters. In addition, the possible effect of cryopreservation on the maintenance of these pathogens was assessed. Materials and Methods: Eighty-two semen samples were initially collected from 82 individuals undergoing routine sperm analysis. In total, 80/82 (97.6%) participants proceeded to further analysis, as 2/82 (2.4%) were excluded due to poor DNA quality. Results: A total of 18/80 (22.5%) sperm samples tested positive for STB, with Ureaplasma spp. representing the most frequently detected pathogen. Co-infection of Ureaplasma spp. and Mycoplasma hominis was observed in 4/80 (5%) samples. Twelve samples (12/80, 15%) were positive for HPV, including low-risk (LR) and high-risk (HR) types, and HPV 16 was the predominant HR genotype. Notably, a co-infection of STB and HPV was not found in our specimens. STB-positive samples demonstrated significantly higher sperm concentration and improved progressive motility compared with STB-negative samples. HPV-positive samples exhibited lower sperm volume and concentration and increased non-progressive motility compared with HPV-negative samples. Following three months of cryopreservation, LR HPV and STB were no longer detectable, whereas HR HPV types remained detectable. Conclusions: These preliminary findings are interesting, as they could be useful for routine screening of HPV and STB in sperm samples preserved in sperm banks and highlight the need for future research. Full article

Poland ranks among the world’s leading exporters of goose meat and edible offal, yet domestic consumption remains minimal, revealing a structural imbalance between production and internal demand. This study aims to provide a comprehensive economic assessment of Poland’s foreign trade in goose meat and offal during 2020–2024, examining export specialization, price dynamics, and market resilience. Using official data from the Central Statistical Office (GUS), Eurostat, UN Comtrade, and the National Bank of Poland (NBP), trade flows were disaggregated by CN product codes, destination countries, and unit prices to identify key structural patterns. Results indicate that export volumes remained largely limited by price responsiveness despite sharp price increases and exchange rate fluctuations, confirming stable foreign demand. Exports were heavily concentrated in Germany, which absorbed over 70% of the total trade value, while domestic consumption stayed below 0.5 kg per capita annually. These findings demonstrate both the competitiveness and the fragility of Poland’s export-oriented trade model, characterized by dependence on a single market and limited domestic integration. The study concludes that long-term food system resilience requires diversification of export destinations, stimulation of domestic demand, and stronger alignment with sustainability goals. A forthcoming second part will address environmental impacts and consumer awareness. Full article

Submarine canyon-channel systems play a critical role as potential conduits for warm-water upwelling around Antarctica, potentially influencing ice-sheet stability. Integrating multibeam bathymetry, seismic profiles, and morphometric analysis, this study identifies 29 canyon-channel systems along the Adélie Land margin and reveals clear morphological contrasts between the Adélie Depression and the Adélie Bank. Systems in the Depression are elongated, slightly sinuous, and dendritic, with downstream increases in width-to-depth ratio, whereas those on the Bank are shorter, isolated, and single-branched, with irregular along-thalweg variations. Mann–Whitney U tests show significant differences in sinuosity and thalweg gradient (p < 0.01). These contrasts reflect the combined effects of shelf-slope topography, sediment supply, and ice-sheet dynamics. In the Depression, steep slopes, focused glacial sediment input from the Wilkes Subglacial Basin, and associated progradational wedges and mass transport deposits promote mass failures and turbidity-current incision. Strong correlations among canyon-channel length, width, and depth indicate coherent scaling under concentrated sediment supply. In contrast, gentler slopes and lower sediment input on the Bank produce simpler systems. These results highlight how glaciated-margin canyon morphology records coupled sedimentary and ice-sheet–ocean processes. Full article

Research on landslides around reservoirs is necessitated to strengthen risk prevention and mitigation, as their occurrence has catastrophic consequences. For reservoir safety assessments, landslide susceptibility analysis is commonly concentrated on single reservoir bank slopes or individual landslides. However, focusing solely on bank slopes and individual landslides gives an incomplete picture of how safe the reservoir is from possible landslide related risks, since landslides from distant slopes can also adversely affect the reservoir in different ways. In this paper, landslide susceptibility assessment was conducted using machine learning models (Gradient Boosting Machine, XGBoost, Random Forest and Ensemble Stacking) in the area around the San Pietro Dam, an earth dam located in Southern Italy, in a region highly prone to landslide hazards. The landslide inventory for the area was used to generate landslide and non-landslide points for model training and testing. The area under curve (AUC) of a receiver operating characteristic (ROC) curve approach was used to evaluate, validate, and compare the performance of the four models. Results indicated that the ROC AUC values of the models ranged from 0.76 to 0.77, with the Random Forest, Gradient Boosting and Ensemble stacking models having AUC values of 0.77. All the models classified about 15–20% of the reservoir basin as highly susceptible to landslides. The generated basin-scale landslide susceptibility maps can be used to prioritize monitoring and maintenance in areas around the dam that have been identified as highly susceptible. Full article