Search Results (8,082)

Acantholyda posticalis (Hymenoptera: Pamphiliidae) is a forestry pest in China. They primarily infest pine trees, causing serious ecological damage. The research aims to identify the key environmental factors influencing the suitable distribution area of Acantholyda posticalis and their optimal conditions, and investigate the impacts of climate change and possible impacts of its main host plants on the distribution of Acantholyda posticalis. By utilizing the MaxEnt model, we predict the potential distribution of Acantholyda posticalis and its main host plant, Pinus tabuliformis, under current and future climatic conditions. The results indicate that under current climatic conditions, the suitable areas for Acantholyda posticalis in China are extensive in the Loess Plateau and North China Plain regions and have extensive overlapping area with the distribution of Pinus tabuliformis. The dominant environmental factors influencing the distribution of suitable areas for Acantholyda posticalis are the Minimum Temperature of the Coldest Month, Precipitation of the Wettest Quarter, Altitude and Temperature Seasonality. Under the SSP126 and SSP585 climate scenarios for the period 2081–2100, the overall suitable area for Acantholyda posticalis is projected to follow a decreasing trend, exhibiting a tendency to extend toward the southern and eastern regions. Meanwhile, the moderately and highly suitable areas are more concentrated and extensive. The research provides a theoretical foundation for the control of Acantholyda posticalis and the protection of the ecological environment. Full article

Background: Periprosthetic joint infections (PJIs), a significant complication of total knee replacement surgery, are influenced by patient, surgeon, and healthcare system factors. Natural disasters can disrupt healthcare services and alter microbiological factors in the hospital environment. The impact of natural disasters on pathogen distribution in periprosthetic joint infection (PJI) is unclear. Therefore, this study investigated the association between the 2023 Kahramanmaraş-centered earthquakes in Türkiye and changes in microbiological patterns of PJI after knee arthroplasty. Methods: This retrospective cohort study included patients who developed PJI following total knee arthroplasty at the study center. The patients were divided into two groups based on the timing of their PJI diagnosis: pre-earthquake and post-earthquake. The demographic characteristics, comorbid diseases, and perioperative characteristics of each patient were recorded, and their microbiological profiles were analyzed. Logistic regression analysis examined the relationships between patient-related factors and causative agents. Results: 56 patients were studied and divided into two groups: 26 patients in the pre-earthquake group and 30 in the post-earthquake group. Furthermore, 79 bacterial isolates were obtained from these patients. Demographic, metabolic, and preoperative characteristics were similar between the two groups. No significant difference was found in the overall distribution of bacterial isolates. However, Gram-negative organisms, primarily Acinetobacter baumannii and Pseudomonas aeruginosa, increased in the isolate distribution after the earthquake. Patient analysis revealed that polymicrobial PJIs were significantly more frequent after the earthquake (56.7% vs. 23.1%; p = 0.011). Diabetes mellitus (DM) and smoking were associated with an increased risk of polymicrobial infection; the association was not statistically significant. Conclusions: In the post-earthquake period, patients who had undergone total knee arthroplasty and developed PJI showed a higher proportion of polymicrobial infections and a numerical increase in Gram-negative pathogens, along with more complex infection patterns compared to the pre-earthquake period. Although both patient groups demonstrated similar characteristics regarding patient-related and surgical factors, the observed changes indicate that the pressure on the healthcare system after a natural disaster can affect a hospital’s microbiological ecology. Identifying these indirect effects is crucial for guiding microbiological surveillance and infection control during post-disaster recovery periods, even for elective patients. Full article

Under the continuous impact of global warming, the water cycle has undergone significant changes, causing a series of problems such as water shortage, frequent climate disasters and ecological environment deterioration. Therefore, understanding the evolution of regional historical and future drought and wet conditions is crucial for adapting and mitigating disasters. This paper discusses the evolution of drought and pluvial events in the Henan section of the Yellow River from 1970 to 2014, projects the future evolution of drought and wet conditions, and assesses the performance of various climate models from Coupled Model Intercomparison Project Phase 6 in simulating precipitation and temperature. Subsequently, future drought and wet conditions in the Henan section were projected for the 2015–2100 period across four SSP-RCP scenarios using Standardized Precipitation and Evapotranspiration Index (SPEI) and run theory. The results indicate that the Henan section of the Yellow River exhibited a significant drying trend during the historical period, with a rate of 0.15 per decade. Looking ahead, a wetting tendency is projected under the SSP1-2.6 scenario, with an increasing rate of 0.02 per decade, whereas the other three scenarios consistently show drying trends, with rates of −0.11, −0.15, and −0.23 per decade, respectively. Across all scenarios, drought and wetness variations exhibit pronounced periodicity, particularly at timescales of approximately 20–30 years, suggesting the persistence of multi-decadal hydroclimatic oscillations. Furthermore, drought and wetness events are projected to become more persistent and severe during the mid-to-late 21st century. Compared with the historical baseline, increasing radiative forcing is associated with an expansion in drought-affected areas, accompanied by reduced event frequency but longer duration and greater severity. In terms of risk, the SSP3-7.0 scenario presents the highest overall drought and wetness risk with the widest spatial extent, whereas the SSP2-4.5 scenario shows relatively lower risk levels and a more balanced spatial distribution. Full article

The Iulia Felix is a 2nd-century AD Roman shipwreck that was discovered off the coast of Grado in 1986. Following its recovery, the hull was dismantled and treated with high concentrations of PEG 4000 at elevated temperatures. This process was completed in 2003. The elements were then stored for over 20 years. During this prolonged storage period, salt efflorescence developed on some surfaces, raising concerns about ongoing degradation and prompting an investigation into the composition of the wood and how environmental conditions influence it. The efflorescence was analysed using scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS), X-ray powder diffraction (XRPD) and Fourier transform infrared spectroscopy (FTIR). To evaluate the impact of environmental factors, samples were exposed to controlled humidity levels of 35% and 85% until equilibrium was achieved. The analyses identified iron- and sulphur-based compounds, including hydrated ferrous sulphates, calcium sulphate and hydrated iron oxides. These findings suggest a corrosion-related degradation process that originates in a marine burial environment and progresses in humid, oxygen-rich conditions after recovery. The presence of PEG within the efflorescence indicates that environmental conditions after treatment promoted its gradual migration to the surface. Climate testing revealed that PEG 4000 significantly reduced hygroscopic exchange with the environment. Under dry conditions, dimensional changes were minimal, with less than 1% variation in mass and surface area. In contrast, prolonged exposure to high humidity resulted in a 11% increase in mass due to moisture uptake, as well as a roughly 5% increase in surface area. This was accompanied by minor cracking and, in some cases, structural failure. This study highlights the long-term conservation challenges posed by waterlogged archaeological wood treated with high-molecular-weight PEG. It emphasises the importance of continuous environmental monitoring to mitigate degradation processes and preserve structural integrity, providing valuable insights for future museum conservation strategies. Full article

Reconstructing historical land use intensity and analyzing its driving forces are crucial for understanding the impacts of human activities on the environment. This review systematically assesses the research on reconstructing historical land use intensity in China, focusing on four dimensions: land use type, harvest frequency, input intensity, and output intensity. The analysis reveals significant imbalances in the development of these dimensions, with reconstruction methods for land use types being the most mature, while quantitative methods for input intensity remain the weakest. The approaches are generally evolving from qualitative to quantitative analysis. Furthermore, studies on the driving forces behind intensity changes are predominantly qualitative, lacking integrated quantitative analyses of multiple factors. To overcome these limitations, the paper proposes that future research should integrate multi-source proxy indicators to construct a comprehensive, multi-dimensional assessment system. This would enable the spatiotemporal reconstruction of land use intensity and facilitate quantitative analysis of its driving forces using spatial data analysis and machine learning methods. Full article

Age-related changes in the gut significantly impact host health, yet the multi-omics dynamics during the maturation of Tibetan pigs remain unclear. This study aimed to investigate the morphological, microbial, metabolic, and transcriptomic transformations in the intestines of aging Tibetan pigs. We analyzed the ileum and colon of 1-year-old and 3-year-old Tibetan pigs using histological evaluation, 16S rRNA sequencing, metabolomics, and transcriptomics. Aging to 3 years significantly improved ileal architecture, notably increasing the villus height to crypt depth ratio. Older pigs exhibited higher colonic microbial diversity, a decreased Firmicutes to Bacteroidota ratio, and enrichment of homeostasis-associated taxa, including Lactobacillus, Prevotellaceae, and Ruminococcaceae. Metabolomics revealed higher abundance of certain metabolites, including docosahexaenoic and arachidonic acids, enriching lipid metabolism and bile secretion pathways. Transcriptomics identified 2363 differentially expressed genes in the ileum, primarily involved in immune regulation and nutrient digestion. Integrated analysis showed strong positive correlations between enriched microbes (Lactobacillus porci) and up-regulated host genes (UGT2B31, CCL28) governing intestinal homeostasis. The transition from 1 to 3 years of age in Tibetan pigs fosters a synergistic host-microbiome environment, enhancing intestinal barrier function, immune capacity, and metabolic efficiency. Full article

Tracking agrivoltaic (TAV) systems represent a significant form of agrivoltaics, which optimize solar energy capture through the dynamic adjustment of photovoltaic (PV) panel tilt angles. However, there is limited research on the effects of TAV systems on the three-dimensional spatial distribution of the light environment within PV arrays and their impacts on agricultural production. Therefore, a comparative experiment was conducted between wheat production under a TAV system and traditional open-field cultivation. Solar radiation intensity sensors were deployed to continuously monitor the dynamic changes in solar radiation under and between the PV panels throughout the entire growth period. Simultaneously, a light environment model for the TAV system was constructed, and the photosynthetic parameters of wheat leaves, as well as yield, were measured. The results indicated that the light environment within the system exhibited significant gradient attenuation, with average light capture rates of 43.2% and 46.1% for the inter-panel and under-panel measurement points, respectively. The model results confirmed that the synergistic adjustment of panel tilt angle and solar altitude angle significantly affected the shading effects, leading to notable spatiotemporal heterogeneity in the light environment during the winter solstice, spring equinox, and summer solstice. This heterogeneity showed as regular variations in shadows and radiation, collectively forming a dynamic light–thermal environment that influences crop growth. Wheat yields under and between the panels decreased by 11.5% and 6.6%, respectively, compared to the open-field control, with yields of 4625.9 kg·hm⁻² and 4883.6 kg·hm⁻². Additionally, the photosynthetic characteristics of the leaves effectively reflected the yield differences. Overall, the comprehensive benefit assessment demonstrates that the TAV system can effectively mitigate the reduction in wheat yield in PV farmlands. This study provides a theoretical basis for optimizing the light environment in AV systems. Full article

The Shaying River Basin, the largest tributary basin of the Huaihe River in eastern China, is a representative north–south transitional basin with strong mountain–plain contrasts and intensive human disturbance. This study quantified hydrologic-cycle changes and attributed them to climate change and human activities using the Simulation Water-cycle and Allocation Model (SWAM). Hydrologic processes were simulated for a baseline period (1971–1980) and a changed-environment period (2001–2010). Four scenarios were designed to isolate the effects of climate change, land-use change, and water-resource development. The results show clear spatial differences in hydrologic response. At the basin scale, human activities and climate change contributed 59% and 41%, respectively, to hydrologic-cycle changes. In the plain area, human activities were dominant, contributing 67%, whereas in the mountainous area, climate change was dominant, contributing 61%. Water-resource development reduced surface-water, soil-water, and groundwater storage, especially in the plain area. These findings highlight the need for differentiated water-management strategies in transitional basins and provide a representative case for understanding climate–human impacts on hydrologic-cycle changes. Full article

In the face of intensifying climate change, agricultural water security in semi-arid zones has emerged as a critical frontier for water governance. This study provides a systematic and critical analysis of the scientific literature to map current research frontiers and structural gaps. The methodology integrated the PRISMA 2020 protocol and a modified Methodi Ordinatio, spanning a search period from 2014 to 2026 across the Science Direct and SciELO databases. From an initial broad screening, 136 high-impact articles were selected based on rigorous inclusion and exclusion criteria. The findings reveal a significant fragmentation of knowledge, characterized by a high prevalence of small-scale studies (25 articles) and limited interdisciplinarity. Notably, a governance-centric approach is present in only 20% of the literature, while the Water–Energy–Food Nexus appears in just 6%, signaling a major disconnect in holistic management. Based on these results, this study identifies water governance and socioeconomic integration as the most pressing research gaps. Consequently, an integrated conceptual framework is proposed, built upon three pillars: Governance, Technology, and Environment (GET). This study concludes that advancing the frontiers of agricultural water security requires moving beyond isolated solutions toward a structured, systemic, and interdisciplinary integration. Full article

Background: Healthcare systems globally continue to experience persistent workforce and system-level challenges as increased workloads, lasting wellbeing impacts, and retention issues remain following the pandemic. To inform strategies and interventions to address these issues, this paper explored the workplace experiences of Victorian (Australia) frontline healthcare workers with parenting responsibilities during the COVID-19 pandemic. Methods: A total of 39 frontline healthcare workers from a large metropolitan hospital were interviewed between October 2020 and February 2021. Reflexive thematic analysis was used to analyse transcripts. Results: Three superordinate themes and five subordinate themes were identified. Themes highlighted the significant pressure that rapid workplace changes placed on healthcare staff and leaders, affecting their physical, mental, and relational health. Support from peers and supervisors was protective, though this increased demands on supervisors themselves. While many staff reported pride in their work, some experienced reduced career satisfaction and concerns about lasting psychological impacts. Conclusions: This study identifies how workplace supports operate through communication transparency, leadership capacity, and protected peer-support space, translating to organisational priorities for the post-pandemic workforce. In the context of ongoing workforce shortages and heightened demands post-pandemic, these findings underscore the importance of strengthening leadership capacity, embedding sustainable workplace supports, and addressing the psychological needs of healthcare staff. Such system-level responses are essential for pandemic recovery, improving workforce retention and staff wellbeing in the modern healthcare environment. Full article

The Guangdong–Hong Kong–Macao Greater Bay Area (GBA) and the Yangtze River Delta (YRD) are key economic growth poles in China, playing a critical role in driving national economic development and facilitating international exchanges in commerce, culture, and ecology. However, rapid urbanization and industrialization have exerted considerable pressure on regional environments. In this study, we first assessed the dynamics of carbon storage (CS) and habitat quality (HQ) in the GBA and the YRD from 2000 to 2020 using the InVEST model and ArcGIS software, systematically analyzing their spatiotemporal changes and underlying driving mechanisms. Subsequently, we employed the PLUS model to predict land use changes by 2030 and evaluate their potential impacts on CS and HQ. The results indicate that: (1) Both regions have experienced increases in construction land and declines in cropland. (2) Between 2000 and 2020, CS in the GBA decreased by 33.65 × 10⁶ t and HQ declined by 0.0833, whereas in the YRD, CS decreased by 15.35 × 10⁶ t and HQ dropped by 0.0504. (3) By 2030, CS in the GBA is projected to decline further by 4.08%, with HQ decreasing to 0.4777, while in the YRD, CS is expected to fall by 2.71% and HQ decrease to 0.4115. (4) The spatial differentiation of CS and HQ in the GBA is primarily driven by anthropogenic processes, whereas in the YRD it is mainly constrained by natural factors such as topography. This study highlights the importance of understanding the spatiotemporal dynamics of CS and HQ, which can help enhance ecosystem service functions, mitigate the impacts of climate change, and provide a scientific basis for regional sustainable development. Full article

Background: Osteoinduction and bone regeneration are fundamental biological mechanisms enabling osseointegration and long-term durability of endosseous dental implants. In clinical practice, poor bone conditions, aesthetic demands, and peri-implant soft tissue problems commonly need the utilization of regenerative techniques targeted at optimizing both hard and soft tissue results. The purpose of this narrative review was to examine osteo-inductive and regenerative strategies currently employed in implant dentistry, with particular emphasis on the mechanobiological integration of hard–soft tissue regeneration and its implications for peri-implant tissue stability, osseointegration, and clinical predictability. Methods: A narrative literature review was done using PubMed and Scopus databases. Based on predetermined inclusion and exclusion criteria, studies published in English during the previous five years were reviewed. The core narrative analysis comprised a selection of physiologically relevant research that addressed osteo-inductive techniques, bone regeneration, osseointegration, and peri-implant soft tissue outcomes, as well as clinical studies, randomized controlled trials, systematic reviews, and narrative reviews. A narrative synthesis was carried out because of methodological variability. Special emphasis was placed on evidence addressing the biological and clinical interaction between hard- and soft-tissue regenerative strategies, reflecting the specific conceptual focus of the review. Results: The evidence presented suggests that implant surface biofunctionalization, biologically active grafting materials, guided bone regeneration, and supplementary biological treatments may have a favorable impact on implant stability and peri-implant bone healing. Several investigations also underlined the biological dependency between peri-implant bone regeneration and soft tissue architecture, stressing the significance of soft tissue thickness, keratinized mucosa, and emergence profile stability. Even in inflammatory environments, bioactive titanium surface changes showed osteogenic potential, indicating a supporting function in early osseointegration. Conclusions: By promoting osseointegration and improving peri-implant tissue outcomes, osteo-inductive and regenerative techniques are essential to modern implant dentistry; however, their greatest potential may lie in integrated hard–soft tissue regenerative approaches aimed at improving long-term clinical predictability. To further understand the clinical efficacy of combination hard–soft tissue regeneration methods, future well-designed clinical trials with standardized outcome measures are needed. Future research should further clarify the mechanobiological principles underlying these integrated regenerative approaches. Full article

High-tech manufacturing is a technology- and knowledge-intensive strategic industry. Its total factor productivity (TFP) directly impacts national competitiveness and economic quality. In China, despite rapid growth, TFP performance varies across sub-sectors and firms. In this study, TFP was adopted as the central outcome variable to capture the comprehensive production and technological efficiency of high-tech manufacturing firms. The Technology–Organization–Environment (TOE) framework was integrated with Dynamic Qualitative Comparative Analysis (Dynamic QCA) to examine the causal complexity, dynamic evolution, and industrial heterogeneity of TFP, using a sample of Chinese A-share-listed companies from 2015 to 2024. The results showed that high TFP depends on configurations rather than on a single factor. Three configurational paths were identified, including “technology–innovation–scale synergy,” “technology–scale dual core,” and “technology-led productivity optimization.” All paths require a strong technological foundation. Conversely, a lack of technology leads to low total factor productivity across all sectors. Moreover, the effectiveness of these pathways evolves over time. The dual-core pathway serves as a stable baseline model. The synergy pathway is reinforced in fast-iteration sectors. Due to weak innovation support, the productivity optimization pathway declined after 2019. Third, different sectors show distinct patterns. Fast-iteration sectors use synergy to handle rapid technical changes. Slow-iteration sectors use the dual-core model to share R&D risks. Productivity-optimized sectors stagnate because they focus on automation instead of innovation. This work reveals deep patterns in TFP growth and provides theoretical support and practical insight for strategic choices of firms, industry resource allocation, and industrial policy optimization. Full article

Improving the climate adaptability of farmers is crucial to ensuring agricultural production and achieving the goal of sustainable development in agriculture. Against the background of climate change aggravating agricultural risks, how do farmers’ own risk attitudes affect their adaptive behavior? Based on the micro-survey data of 480 grape growers in the Turpan-Hami Basin in 2025, we used the least squares method (OLS) to explore the impact of risk appetite on the climate adaptation behavior of farmers and its mechanism. The study found that risk appetite significantly promoted the adoption of adaptive behaviors by farmers. For every 1 unit increase in the risk preference score, the number of climate-adaptive behaviors adopted by farmers increased by an average of 0.322. Mechanism testing shows that both formal credit and informal credit play a partial intermediary role. The intermediary effect accounts for 18.3% and 36.3% respectively, and the transmission effect of informal credit is stronger; Institutional trust and interpersonal trust both positively regulate the relationship between risk preference and adaptive behavior at the level of 1%. Research shows that we should take into account risk education and production environment optimization, pay attention to the supplementary role of private lending, and build a multi-level trust promotion system to jointly improve the climate adaptability of farmers. Full article

This study investigates the short-term and long-term impacts of gross domestic product (GDP), inflation, foreign capital flows, trade balance and interest rate on stock market performance in Saudi Arabia for the period 1990–2023. The autoregressive distributed lag (ARDL) approach and error correction model (ECM) are employed to empirically examine the short-run and long-run relationships. The ARDL-ECM technique is effective for analyzing cointegration and assessing adjustment processes. Additionally, impulse response function (IRF) analysis based on the vector autoregression (VAR) model, estimated using these macroeconomic indicators, is applied in this paper. This study provides novel insights and addresses emerging gaps in the literature concerning Saudi Arabia as a developing economy. The long-term relationship in the bounds test results confirms its existence. In the long run, inflation and interest rate exert a statistically significant negative effect on stock market performance, while the trade balance has a significant positive impact. GDP and foreign capital inflows do not exhibit statistically significant long-run effects. Short-run dynamics indicate persistence in stock market performance along with significant effects from inflation and interest rate changes, while GDP and foreign capital inflows remain statistically insignificant in the long-run scenario. Forecast error variance decomposition (FEVD) results show that approximately 68.5% of the variation in market performance is explained by its own shocks, followed by foreign capital flows (16.3%) and inflation (8.4%). While foreign capital flow does not exhibit statistical significance in the ARDL long-run estimates, its contribution in variance decomposition highlights its role as an important source of external shocks. These findings are relevant to various stakeholders, including investors and policymakers. Additionally, policy emphasis should be placed on controlling inflation and maintaining stable interest rates while improving trade balance conditions. Although foreign capital flow does not show a direct long-run effect, its role in influencing market variability suggests the need for a stable and well-regulated investment environment. Full article