Search Results (232)

Hepatitis E virus (HEV) is a zoonotic pathogen of global concern that circulates in both domestic and wild swine populations. Understanding its presence and dynamics in wildlife reservoirs is crucial for assessing spillover risks and designing One Health surveillance strategies. This study investigated the occurrence, genetic diversity, and evolutionary relationships of HEV in wild boars from mainland Portugal. A total of 120 animals from seven districts were tested, with HEV RNA detected in four cases (3.3%), all from the Évora district near the Spanish border. One positive sample was successfully sequenced, and phylogenetic analysis based on the complete genome classified it within the HEV-3m subtype, clustering with predominantly human-derived sequences from Spain and France, which highlights its zoonotic potential. A second phylogenetic analysis based on a partial genomic fragment, including sequences from domestic pigs in Portugal, revealed the co-circulation of subtypes 3e, 3f, and 3m without clear spatial or temporal patterns. Phylogeographic analysis suggested that the identified strain was most likely introduced from Spain, supporting the hypothesis of cross-border transmission through wild boar movement. No recombination events were detected in the sequence obtained in this study. These findings provide the first molecular evidence of HEV-3m circulation in wild boars in Portugal, offering valuable insight into the HEV strain circulation in European wildlife populations. The zoonotic potential of HEV and the likelihood of interspecies transmission highlight the need for coordinated cross-border surveillance and integrated One Health strategies. Full article

This study examines whether international food price dynamics provide a reliable signal of undernourishment and human development outcomes relevant to the attainment of SDG 2 (Zero Hunger) by 2030. We apply wavelet coherence analysis to the FAO Food Price Index and the prevalence of undernourishment (SDG Indicator 2.1.1) over 2001–2023, testing statistical significance against an AR(1) red-noise null hypothesis. Hybrid ARIMA–Random Forest models generate probabilistic price forecasts through 2030. Despite strong raw coherence (R² ≈ 0.77), only 7.8% of time–frequency cells achieve statistical significance, indicating that apparent co-movement largely reflects autocorrelation rather than substantive dependence. Where significant coherence emerges, it concentrates at medium-run horizons (3–6 years), consistent with undernourishment as a habitual dietary adequacy measure linked to sustained affordability pressures affecting health, productivity, and human capital formation. Rolling correlation analysis reveals suggestive evidence of a regime change around 2012—from negative to positive correlation—coinciding with a slowdown in progress toward reducing hunger, although the 5-year rolling windows yield only 19 observations, limiting the power of formal structural break tests. Price forecasts exhibit rapidly widening confidence intervals (by ±131 index points by 2030), underscoring fundamental limits to predictability. The annual PoU series comprises only 23 observations, which constrains the estimation of long-run (8–12-year) wavelet cycles; results at those horizons should therefore be interpreted with caution. These findings caution against mechanistic inferences from global price indices to hunger and human development outcomes, redirecting policy emphasis toward domestic transmission channels and nutrition-sensitive safety nets. Full article

Domestic dogs show substantial behavioral variability shaped by genetic, biological, and environmental factors. Although breed-specific behavioral profiles are documented, associations between coat color and behavior within individual breeds remain poorly understood. This preliminary study characterized the behavioral profile of Australian Shepherd dogs and exploratorily investigated associations between behavior, coat color, sex, and neuter status using the validated Italian C-BARQ. A total of 215 Australian Shepherds aged 1–8.5 years were included; behavioral responses were analyzed using ordinal logistic regression with sex, neuter status, and coat color as predictors. Overall, Australian Shepherds showed high trainability and low aggression and fear toward humans. Sex emerged as the most consistent predictor: females showed lower odds of high-intensity responses in attachment- and excitability-related behaviors (OR ~0.44–0.56), with context-dependent differences in dog-directed and environmental responses. Neuter status was selectively associated with increased fear-related reactions to noise and stranger approaches (OR ~1.9–2.2) and reduced restlessness during separation (OR ~0.45). Coat color was not associated with generalized behavioral tendencies; item-level exploratory analyses revealed only a limited number of suggestive, context-specific associations in merle-coated dogs, and most analyses did not yield significant effects. All coat-color findings should be regarded as preliminary and hypothesis-generating. These results underscore the context-dependent nature of behavioral variation in Australian Shepherds and highlight the need for confirmatory studies with larger, coat-color-stratified samples. Full article

Food waste in urban households is a critical barrier to sustainable development, often driven by inefficient inventory management and consumer forgetfulness. While institutional interventions exist, effective tools for the domestic pre-consumption stage remain scarce. This paper presents the design, development, and pilot validation of “ZeroWasteAI,” a novel mobile application developed by the authors that integrates Generative AI (Gemini 1.5 Flash) to automate food tracking and expiration monitoring. To evaluate its technical feasibility and impact on household waste, a four-week longitudinal pilot study was conducted with a sample of 11 households in Lima, Peru, employing a quasi-experimental pre-post design. The methodology combined quantitative waste tracking (kg) with qualitative assessments using the uMARS scale. Results validated the primary hypothesis (H1), achieving a 26.5% reduction in household food waste (from 31.3% to 23.0% waste rate). Furthermore, the study revealed a significant behavioral gap between purchasing and consumption, highlighting “overbuying” as a key target for future AI interventions. High usability scores confirm that integrating GenAI reduces the cognitive load of manual tracking, offering a scalable, software-based solution for sustainable consumption in developing economies. Full article

Regulatory bodies have observed an increase in environmental issues due to firms’ interactions with the environment. Nonetheless, reconciliation actions are emerging, driven by the pursuit of sustainable development goals. This study investigated the impact of financial development and foreign direct investment on ecological footprints in sub-Saharan African nations, while examining the mediating role of regulatory quality and control for corruption. The research was motivated by the growing environmental degradation in the region amid growing capital inflows and financial market expansion. Using panel data of 18 sub-Saharan African countries between 1996 and 2023, sourced from the World Bank database and World Governance Indicators, we employed an Autoregressive Distributed Lag model to assess the short- and long-run relationships among ecological footprint, financial development, foreign direct investment, and key institutional factors. Results from the baseline model show that financial development significantly increases ecological footprints, while the effect of foreign direct investments is insignificant in the absence of institutional factors. However, when mediating variables are introduced, foreign direct investment significantly worsens ecological footprint, and regulatory quality and control for corruption show strong moderating effects, confirming the pollution haven hypothesis. Also, all control variables (trade openness, gross domestic product per capita, government expenditure, and population density) show significant outcomes with environmental sustainability. The findings underscore the importance of institutional factors in shaping sustainable foreign direct investment flows and financial systems. These research findings offer policy pathways for aligning investment strategies with sustainability goals in sub-Saharan Africa. Recommendations include strengthening the nation’s institutional framework, linking foreign direct investment to environmental compliance and promoting green finance policies across the region. Full article

This study examines the effects of Gross Domestic Product (GDP) per capita, its squared and cubic terms (GDP² and GDP³), renewable energy, fossil fuels, nuclear energy, and research and development (R&D) on environmental sustainability in G20 countries from 1994 to 2023, with a specific focus on testing the N-shaped Environmental Kuznets Curve (EKC) hypothesis. CS-ARDL serves as the baseline estimator, and robustness is checked using FMOLS and DOLS estimators and an alternative dependent variable, greenhouse gas (GHG) emissions. The coefficients of GDP, GDP², and GDP³ follow the expected +, −, + pattern of a cubic specification, indicating nonlinear income–environment dynamics. However, the implied turning points are not observed within the sample range, suggesting that a full N-shaped EKC trajectory is not empirically supported for G20 countries. Renewable energy consumption and R&D investment have negative coefficients, suggesting they help reduce environmental degradation. Fossil fuel consumption significantly increases ecological pressure, whereas nuclear energy shows a positive but insignificant effect. The findings remain robust across alternative estimators and when GHG emissions are used. Overall, the findings indicate that economic growth alone cannot ensure environmental sustainability, underscoring the need for renewable energy expansion, technological innovation, and reduced reliance on fossil fuels. Full article

This study used 3D landmark-based geometric morphometrics under an object-symmetry framework to quantify pelvic asymmetry in domestic cats and dogs while explicitly accounting for measurement error through replicate digitizations. Procrustes ANOVA revealed significant components of both directional asymmetry (DA) and fluctuating asymmetry (FA) in the overall dataset, and DA was further visualized as a structured, non-random pattern across the landmark configuration. Measurement error remained smaller than the FA component, yielding high repeatability, indicating that the detected asymmetry patterns were not driven by landmarking imprecision. Group-wise summaries are presented as descriptive patterns of the sample (rather than direct between-group inference). In these descriptive summaries, cats tended to show a more coherent DA pattern, whereas dogs showed greater individual variation consistent with a relatively stronger FA component; males also tended to exhibit greater FA-related dispersion than females. In regression models of FA, age showed no association, body mass exhibited only a weak trend, and sex emerged as a significant predictor, while species showed no detectable effect when covariates were included. Collectively, these results support the hypothesis that pelvic shape contains both systematic (DA) and individual-specific (FA) asymmetry components, with sex-related differences in FA magnitude, but limited evidence for age- or weight-related effects within the sampled range. The study provides a repeatable framework and baseline reference for pelvic asymmetry in cats and dogs. Full article

Background/Objectives: African swine fever virus (ASFV), the causative agent of African swine fever (ASF), is a highly contagious virus affecting both domestic and feral pig populations with mortality rates approaching 100% within one week of infection. Currently, there are limited treatments or vaccines available to control the disease. Although ASF is endemic in sub-Saharan Africa, the virus has also spread widely, reaching regions of the European Union, Russia, China, Southeast Asia, and, more recently, to the Dominican Republic and Haiti, bringing the threat closer to the United States (U.S.). ASF introduction to the U.S. would have severe consequences for swine producers and the national pork industry. Consequently, there is an urgent need to develop effective vaccine strategies to manage ongoing outbreaks abroad and mitigate the risk of future ASF incursions. Recent efforts have identified several ASFV epitopes and evaluated them in experimental vaccine trials. However, these vaccine candidates have elicited limited protective immune responses and have not demonstrated full protective efficacy. Methods: In this study, we employed in silico modeling and epitope prediction tools to design a synthetic multiepitope ASF protein incorporating key immunogenic regions of ASFV. The goal was to generate a single-antigen construct capable of inducing broad and robust immune responses when formulated with an established nanoparticle-based vaccine platform. The multiepitope ASF protein was subsequently expressed and entrapped into mannose-conjugated chitosan (M-CS) nanoparticles for vaccine formulation. The candidate vaccine, formulated with M-CS nanoparticle-entrapped adjuvant (ADU S100), was administered intramuscularly to pigs, and both T- and B-cell responses were assessed following the primary (DPV 22) and booster (DPV 42) doses. Results: Our M-CS ASF protein vaccine elicited antigen-specific T- and B-cell responses, both of which are recognized as central correlates of protection against ASFV. Conclusions: These promising preliminary immunological findings suggest that this nanoparticle vaccine has the potential to confer protection against ASFV challenge, a hypothesis that will be examined in future studies. Full article

In emerging markets, stock markets play a crucial role in supporting long-term growth. This study explores the causal relationship between stock market development and economic growth in the Fragile Five countries—Brazil, India, Indonesia, South Africa, and Turkey—covering the period from 2001 to 2024. To ensure robust findings, it uses second-generation panel cointegration and causality tests that account for cross-sectional dependence and structural heterogeneity. The model includes three parameters representing financial depth, liquidity, and efficiency. Results indicate significant long-term cointegration, suggesting causality from stock market development to economic growth, supporting the supply-led growth hypothesis. This aligns with recent evidence highlighting the importance of institutional quality and sectoral interconnectedness in emerging markets. Furthermore, Panel DOLS and FMOLS analyses reveal that stock market capitalization has a notable positive effect on domestic productivity. Overall, these findings underscore that stock market parameters are vital for accurate economic forecasting and that strengthening capital markets is essential for sustainable growth in the Fragile Five. Full article

Hemotropic mycoplasmas (hemoplasmas) are uncultivable, cell wall-less bacteria that parasitizeon the surface of red blood cells of mammals, potentially causing anemia and other systemic signs. While widely distributed among domestic and wild animals, their occurrence in equids remains poorly understood, and no species has been identified as host-specific to horses or donkeys. This study presents the first systematic survey of hemoplasmas in equids from southeastern Europe and only the second molecularly confirmed case in horses in Europe. A total of 843 equids (817 horses and 26 donkeys) from different regions of Croatia, representing various ages, uses, and husbandry systems, were screened for hemoplasmas by PCR targeting the 16S rRNA gene. Only one horse tested positive, identified as Mycoplasma wenyonii, a hemoplasma typically associated with cattle. The estimated prevalence was 0.12% (95% CI: 0.003–0.68%). No donkeys were infected. The extremely low prevalence observed here—the lowest reported in any study detecting hemoplasma-positive horses—supports the hypothesis that equids do not harbor host-specific hemoplasma species and may only sporadically acquire infections from other hosts via spillover. This finding underscores the apparent absence of persistent hemoplasma lineages adapted to equids and highlights the need for further research on their epidemiology, host specificity, and transmission dynamics. Full article

The role of international financial resource inflows, foreign direct investment (FDI), development foreign assistance (DFA), and personal remittance earnings (PRE) in decisive advancement toward environmental sustainability (SDG13) and economic development is increasingly recognized. However, depending on the situation, their effects on environmental outcomes vary in degree and direction, and are still subject to debate. This research examines how the three main international financial resources impact environmental sustainability, which is measured by the bio-capacity index, with a specific focus on the moderating role of corruption. The system panel generalized method of moments with balanced panel data (2001–2023) was used to attain the objectives of this study. This study focused on 28 developing Organization of Islamic Cooperation member countries because of their significant reliance on these financial inflows, regional/economic variety, and diverse levels of governance, which offer a crucial setting for evaluating the corruption moderation hypothesis. The findings reveal a comprehensive scenario of SDG synergies and trade-offs. In the base model, FDI directly improves the situation, whereas DFA and PRE are initially negligible. When considering internal economic factors, FDI and PRE greatly advance sustainability, whereas domestic financial measures such as domestic credit and fixed capital formation show adverse effects, underscoring a tension between environmental objectives and national financial systems. Importantly, the moderation analysis shows that while the advantages of FDI and PRE continue to be robust, corruption severely reduces the efficacy of DFA. To assure environmental effectiveness, these findings call for distinct policies that encourage green FDI, leverage remittances for green investments at the family level, and above all, fasten development assistance to strict governance changes. Full article

ASFV is responsible for high mortality in domestic pigs and has caused substantial economic impact on the global swine industry due to herd losses, trade restrictions, and disease control measures. We analyzed publicly available spleen RNA-seq data from ASFV-infected pigs (n = 13 total samples), including 7 pre-infection (0 dpi), 4 samples at 2 days post-infection (2 dpi), and 2 samples at 5 dpi (5 dpi). Weighted gene co-expression network analysis (WGCNA) identified 19 modules; module–trait correlations revealed six modules associated with infection time. A co-expression module enriched for innate immune and antiviral response genes was strongly upregulated at 2 dpi, whereas a module enriched for ribosomal, translation, and metabolic process genes was broadly downregulated at 5 dpi. Protein–protein interaction analysis highlighted hub genes, including EPRS1 and USP7 within core cellular/translation programs and CMPK2 and ZBP1 within innate-immune signaling. Collectively, our results provide a network-level view of dynamic host responses and indicate coordinated shifts in immune and metabolic programs over time. These results identify CMPK2, ZBP1, EPRS1, and USP7 as hypothesis-generating hub gene candidates, warranting further validation to establish mechanistic roles and assess potential translational relevance. Full article

The mandible of domestic dogs represents a key structure in veterinary anatomy. This study tested the hypothesis that mandibular shape variation in adult mesocephalic dogs follows a non-random modular pattern with limited allometric influence. A total of 168 dry mandibles from academic osteological collections were analyzed using geometric morphometrics. Four anatomical landmarks and two curves of sliding semilandmarks were digitized and processed through Generalized Procrustes Analysis. Principal component analysis revealed that 62.7% of total variance was concentrated in the first two axes, associated with the coronoid height, ramus robustness, and curvature of the mandibular body. Cluster and Canonical Variate Analyses identified two overlapping but statistically distinct configurations, reflecting the intrinsic morphological diversity of mesocephalic dogs. Procrustes regression confirmed a significant yet low allometric effect (2.34%), while modularity tests based on RV coefficients supported a structured organization involving the ramus, coronoid, and angular processes (processus angularis mandibulae) as relatively independent modules. These results indicate that mandibular shape variation is hierarchically organized rather than random, highlighting the coexistence of integration and modular independence within the masticatory apparatus. Beyond its morphometric contribution, this study provides a reproducible anatomical baseline for veterinary and comparative research, facilitating future analyses of sexual dimorphism, functional adaptation, and surgical applications. Full article

In this study, we empirically examine the determinants of fundraising success in Japan’s lending-based crowdfunding (LBCF), with a focus on the financial literacy of investors. Using 465 campaigns on the LBCF platform “Bankers” (December 2020–September 2024), we test two predictions derived from the lack of financial literacy hypothesis: (H1) investors are influenced by peripheral signals; (H2) diagnostic signals are not properly evaluated. Both are rejected. In cross-sectional tests, peripheral cues such as “Perks” are negatively associated with success, and the effects of “Title length” and “Purple highlighted text” observed in simpler models vanish when analyzed jointly. By contrast, diagnostic information is consistently informative: “Domestic campaign” and “Co-investment” are positive, while “Investment term” is negative; “Investment capital” is also negative, contrary to prior expectations. The results are robust to controls for the campaign sector and to alternative specifications (probit; OLS on achievement rate). Overall, investors in Japan’s LBCF appear to rely on diagnostic rather than peripheral signals, indicating financially literate, rational decision-making. Full article

The relationship between trade openness and economic performance has been widely debated and researched during the last several decades. However, the specific influence of trade openness from the perspective of controlling the inflation rate is rarely researched specifically for the Kingdom of Saudi Arabia (KSA). Accordingly, this research paper attempts to test the influence of trade openness on inflation, focusing on KSA. The paper utilizes historical data from 1975 to 2023 and employs the “Autoregressive Distributed Lag (ARDL)” and “Nonlinear Autoregressive Distributed Lag (NARDL)” cointegration techniques to assess the responsiveness of the inflation rate to increased trade openness. The results of the ARDL demonstrated the positive influence that trade openness has on inflation, which is a rejection of Romer’s hypothesis. The findings of the NARDL also rejected Romer’s hypothesis by demonstrating a positive relationship between the positive shocks in trade openness and the inflation rate. Similarly, our results illustrated a significant negative impact of domestic industrialization and government expenditure on inflation. Moreover, we found that the inflation rate in KSA is significantly dependent on economic performance. Finally, our findings demonstrated that the natural resource sector is unable to explain the inflationary pressure in KSA significantly. Full article