Search Results (6,609)

Accurate mapping of grass species in biodiverse ecosystems, such as wetlands, is critical for ecological protection. Rapid advancements in remote sensing have established satellite data as a critical tool for wetland grass species mapping; however, its relatively coarse spatial resolution and susceptibility to cloud contamination limit the distinction of co-occurring species at fine scales. While Unmanned Aerial Vehicle (UAV) remote sensing offers high resolution and operational flexibility, relying on single-source features is often insufficient for fine-scale wetland species mapping due to the spectral similarity of co-occurring species. On the other hand, the fusion of multi-source remote sensing features (i.e., spectral, textural, and geometric features) likely provides a promising solution for achieving accurate, fine-scale grass species mapping in biodiverse ecosystems. In this study, we developed a wetland grass species mapping framework integrating spectral, textural, and geometric features derived from UAV RGB and multispectral imagery. Using a dataset of 95,880 image objects representing 24 wetland grass species classes collected in two years in Dajiu Lake National Wetland Park of China, we evaluated three machine learning algorithms—Support Vector Machine (SVM), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost)—across various feature combinations. We found that while spectral features (i.e., red edge, normalized green–red difference index [NGRDI], and normalized difference vegetation index [NDVI]) (related to leaf pigment concentrations and cellular structures) exhibited the highest importance in wetland grass species mapping, textural (i.e., contrast) and geometric features (i.e., aspect ratio) significantly enhanced classification performance as complementary information, yielding improvements of up to 10.5% in overall accuracy (OA) and 0.103 in Macro-F1 scores. Specifically, the fusion of spectral, textural, and geometric features achieved optimal performance with an OA of 81.9% and a Macro-F1 of 0.807. Furthermore, the XGBoost model outperformed SVM and RF, improving OA by 9.4% and 2.8%, and Macro-F1 by 0.08 and 0.035, respectively. By identifying the optimal feature combination and machine learning algorithm, this study establishes an accurate method for wetland grass species mapping, offering new opportunities for ecological assessment and precision conservation in biodiverse landscapes. Full article

The Ottoman Empire possessed a multi-religious social structure whose continuity was maintained through legal and administrative mechanisms. While Muslims, Christians, and Jews preserved their religious identities within the imperial framework, conversion was a closely monitored and regulated process at both the individual and public levels. Because religious conversion had direct consequences for taxation, legal and social status, family structure, and communal affiliation, it became a matter of concern for the Ottoman legal order. In this context, the sharia courts constituted the primary institutional arena in which cases of ihtidā (conversion) were recorded, supervised, and given legal effect; they also produced the principal documentation that verified the procedural validity of conversion and secured the legal standing of new Muslims. This study examines the social and legal contexts of religious conversion in the Ottoman provinces through cases recorded in the sixteenth- to nineteenth-century court registers of the district of Rodosçuk. It challenges interpretations that portray ihtidā as a coercive and one-directional policy of Islamization, demonstrating instead that legal protection and economic opportunity could function both as outcomes of conversion and as enabling preconditions. The study also questions assumptions about systematic judicial bias against non-Muslims, emphasizing that in the Rodosçuk example the courts operated as a neutral forum accessible to different confessional communities. The evidence suggests that conversion unfolded through slow, gradual, and largely individual processes shaped by the combined influence of religious, economic, and social motivations. Full article

We argue that mainstreaming Nature-based Solutions (NbS) requires alignment of diverse value systems and integrated, cross-sectoral collaboration, and we present the necessary conditions for increasing practical implementation. NbS are increasingly recognised as effective strategies to protect critical infrastructures against climate change impacts while enhancing them by delivering ecological, social, and economic benefits. Despite growing policy support, the integration of NbS into mainstream infrastructure planning remains limited due to siloed responsibilities and decision making, entrenched institutional structures that favour grey infrastructure, and challenges in balancing short-term risks with long-term value. We examine if and how NbS mainstreaming in the infrastructure sector could be enabled. Building on insights into infrastructure governance and innovation mainstreaming, we explore perceptions and engagement with NbS and opportunities for strengthening co-governance and collaborative decision making in the Dutch infrastructure domain. A critical insight is that NbS must be understood as part of a broader socio-ecological–technical system rather than isolated interventions. This results in requirements for more integrated approaches to governance and planning as well as assessment. Asset managers in particular could play a pivotal role by adopting holistic performance assessments that consider co-benefits and trade-offs. Full article

Background: Despite major advances in antiretroviral therapy, HIV transmission remains an important public health challenge. Pre-exposure prophylaxis (PrEP) is a highly effective prevention strategy, offering a significant opportunity to further reduce new HIV infections through expanded access and optimized implementation. Methods: A national multidisciplinary consensus process was conducted to define principles and operational pathways for PrEP referral and linkage in Romania. Experts from different medical fields, professional societies, academic institutions, and community-based organizations participated in structured discussions. Results: The consensus highlighted relevant knowledge gaps related to HIV prevention and PrEP among specialists working outside the field of infectious diseases, including difficulty recognizing risk factors for HIV, uncertainty about next steps after identifying risk factors, and uneasiness discussing sexual health. The consensus also emphasized a shared commitment of these professional societies to address these gaps through pragmatic, specialty-adapted training. Key priorities included improved HIV risk recognition in routine care, development of communication skills, and clear referral pathways to PrEP services. Existing barriers were also discussed, underscoring the importance of multidisciplinary networks and community engagement. Conclusions: This consensus provides a structured, context-adapted framework to support the upcoming nationwide implementation of PrEP in Romania. By strengthening provider education, clarifying clinical pathways, and fostering interdisciplinary collaboration, it offers a foundation for equitable and sustainable HIV prevention. Full article

Using transaction cost economics (TCE) and agency theory, this paper examines how blockchain, smart contracts, and decentralized autonomous organizations (DAOs) reconfigure financial services across payments, wealth management, real estate, and corporate governance. Three research questions are addressed: (1) What are the quantifiable efficiency gains from blockchain-based real-time settlement compared with legacy systems? (2) How do blockchain technologies reduce intermediation and agency costs in wealth management and real estate? (3) Finally, to what extent do DAOs resolve or transform traditional corporate governance problems? By combining a present-value model calibrated to U.S. Automated Clearing House (ACH) data ($86.2 trillion in annual volume), comparative institutional analysis, and synthesis of empirical evidence from pilot implementations and on-chain governance metrics, this paper makes three principal contributions. First, real-time settlement yields approximately $12 billion in annual opportunity cost savings at the baseline 7.5% discount rate, with sensitivity analysis producing a range of $8–15 billion. The majority of gains accrue from moving to same-day or within-hour settlement. Second, tokenization and smart contract escrow substantially reduce real estate intermediation costs, blockchain-based digital identity streamlines wealth management onboarding, and a stablecoin taxonomy classifies fiat-collateralized, crypto-collateralized, and algorithmic designs by risk profile. Third, on-chain data reveal persistent governance token concentration (Gini > 0.98) and low voter participation (typically below 10%), exposing a gap between DAO theory and practice. Blockchain-specific risks are mapped to National Institute of Standards and Technology (NIST) Cybersecurity Framework 2.0, and mechanism design solutions, such as quadratic voting and AI-assisted proposal evaluation, are proposed to address whale dominance. Effective adoption requires hybrid architecture combining on-chain automation with off-chain structures for accountability and regulatory compliance. Full article

The economic and societal advantages of Science, Technology, Engineering, Mathematics, and Medicine (STEMM) occupations are considerable; however, access to STEMM education and training opportunities is unequal, especially for youth from low-socioeconomic-status (SES) areas. Young people from low-SES areas may experience sustained structural, financial, and social barriers that limit their ability to develop identities as STEMM practitioners and to persist in pursuing these fields. This case study describes the design, implementation, and evaluation of a community-based mini-medical summer camp held in a low-SES area to support the development of STEMM identities and to increase 6th–11th-grade students’ biomedical and medical knowledge and career interests. The program utilized partnerships with local entities to provide access to biomedical and medical content. Nineteen students completed the program; fifteen consented to and assented to assessment using pre- and post-tests of STEMM-related knowledge and self-efficacy, and completed all measurements. Students’ STEMM knowledge levels increased significantly; however, their STEMM self-efficacy did not change, possibly due to high initial confidence and the short duration of participation. Students reported high engagement and increased interest in the sciences and medicine. Overall, this study suggests that community-centered outreach programs can increase STEMM engagement and learning in low-SES environments. Full article

Growing water scarcity across the European Union (EU) increases the need for improved water-use efficiency in water-intensive sectors such as recreational facilities. This study evaluates the feasibility of integrating alternative water sources—including rainwater, graywater, and filter backwash water—into swimming pool operations through a comparative analysis of EU legislation and selected national regulatory frameworks. The study is based on a structured desk review of scientific literature, legal documents, and technical standards published between 2010 and 2025, complemented by a qualitative SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis. Previous studies indicate that public swimming pool facilities may consume approximately 20–50 m³ of water per day, highlighting the potential benefits of alternative water supply strategies. However, regulatory fragmentation and the absence of harmonized EU-level quality standards for recreational water reuse remain the main barriers to wider implementation. While Regulation (EU) 2020/741 establishes minimum requirements for reclaimed water reuse in agricultural irrigation, no dedicated framework exists for swimming pool facilities. Among the analyzed options, rainwater harvesting and graywater reuse appear to be the most feasible solutions. Clearer regulatory guidance and risk-management procedures could support the safe adoption of alternative water sources and contribute to improving water-use efficiency in the recreational sector. Full article

The newly identified greisen-hosted Nb-Ta mineralization in the Qidashan iron deposit, Liaoning Province, China, offers a unique opportunity to explore how hydrothermal processes contribute to the enrichment of critical metals. In this study, an integrated analytical approach of petrographic observation and scanning electron microscopy–energy-dispersive spectrometer (SEM-EDS), electron probe microanalyzer (EPMA), and laser ablation inductively coupled plasma mass spectrometer (LA-ICP-MS) U-Pb dating of columbite-group minerals (CGMs) were employed to systematically decipher the paragenetic sequence, micro-structure, elemental composition and mineralization age of CGMs, aiming at the genesis of greisen-hosted Nb-Ta mineralization. The mineralization is characterized by the abundant occurrence of CGMs. Three generations of CGMs and two mineralization stages are distinguished: stage I contains CGM Is and CGM IIs, with Nb₂O₅ ranging from 25.7 to 69.56 wt.% and Ta₂O₅ from 5.8 to 52.5 wt.%; stage II contains CGM IIIs, with Nb₂O₅ between 59.5 and 71.5 wt.% and Ta₂O₅ between 3.5 and 16.2 wt.%. CGM Is consist of euhedral, homogeneous crystals of more than 100 μm, exhibit low Ta/(Nb + Ta) ratios (0.05–0.06) and high Mn/(Fe + Mn) ratios (0.19–0.26), and belong to columbite-Fe. CGM IIs generally overgrow on CGM Is with hydrothermal overprinting textures, and show significant compositional gaps compared to CGM Is, exhibiting higher Ta/(Nb + Ta) ratios (0.13–0.55) and restricted Mn/(Fe + Mn) ratios (0.15–0.18), with some belonging to columbite-Fe and others to tantalite-Fe, which reveals a transition from magma to “hydrosilicate fluid”. CGM IIIs are mainly anhedral and homogeneous, with a grain size of less than 50 μm. However, some CGM IIIs overgrow on CGM IIs and/or CGM Is with patchy textures indicative of subsequent hydrothermal overprinting of hydrosilicate fluid, forming a coarse-grain size over 100 μm. CGM IIIs are characterized by lower Ta/(Nb + Ta) ratios (0.03–0.14) and variable Mn/(Fe + Mn) ratios (0.08–0.26), and they belong to columbite-Fe. LA-ICP-MS U-Pb dating yields weighted mean ²⁰⁶Pb/²³⁸U ages of 2646 ± 15 Ma for stage I and 2500 ± 28 Ma for stage II, indicating two-stage Nb-Ta mineralization. The early mineralization may correlate with the partial melting of volcanic–sedimentary rocks due to the geothermal anomalies associated with ~2.7 Ga submarine volcanism, and the late mineralization formed by the magmatic hydrothermal activities related to emplacement of the Qidashan granite in 2.5 Ga. We therefore propose that the two-stage greisen-hosted Nb-Ta mineralization probably widely occurred in these sedimentary–metamorphic iron deposits in the Anshan–Benxi area and even in the northern edge of the North China Craton, and it may provide new insights for evaluating the Nb-Ta resource potential in similar Algoma-type iron deposits globally. Full article

Drone-mounted ground-penetrating radar (GPR) systems offer new opportunities for integrating subsurface characterization into remote sensing workflows. However, the interaction between flight parameters, surface conditions, and vegetation characteristics remains poorly understood. This study investigates the impact of flight altitude, surface topography, crop presence, and canopy water content on the stability and interpretability of GPR signals collected using a drone. Field experiments were conducted under controlled conditions using agricultural plots with variable canopy cover and soil moisture regimes. Radargrams were processed to evaluate signal amplitude, reflection continuity, and attenuation patterns in relation to terrain slope and vegetation structure derived from co-registered RGB drone imagery. The results reveal that lower flight altitudes and smoother surfaces yield higher signal coherence and greater subsurface penetration, while increased canopy water content and biomass reduce signal strength and clarity. Integrating drone-based GPR observations with surface spectral and thermal data improved discrimination between soil and vegetation-induced signal distortions. The findings highlight the potential of drone–GPR systems as a complementary layer in a multi-sensor remote sensing framework for precision agriculture, environmental monitoring, and 3D soil mapping. Full article

The future of innovation and economic growth depends on our ability to nurture the next generation of scientists. The global shortage of qualified STEM (Science, Technology, engineering, Mathematics) teachers has led many countries to expedite the transition of subject-matter experts from industry and academia into teaching roles. These second-career science student teachers typically participate in accelerated training programs designed to address urgent shortages. This study addresses a gap in the literature regarding effective pedagogical interventions for career-changing professionals in STEM fields, focusing on the experience and transformation of second-career science student teachers. This qualitative case study explores how a Challenge-Based Learning (CBL) course fosters the development of pedagogical competences via developing an instructional unit collaboratively, among five second-career science student teachers enrolled in an accelerated teacher education program. Drawing on data collected through instructors’ field notes, iterative work-in-progress lesson drafts, and reflective final papers, the study employs qualitative content analysis to trace changes in participants’ instructional approaches and professional identity. Findings reveal that engagement with the CBL framework promoted a significant shift from teacher-centered to learner-centered instruction, as participants increasingly integrated collaborative learning, inquiry-based activities, and reflective practices into their lesson planning and classroom teaching. The iterative nature of CBL, which emphasizes real-world problem-solving and structured opportunities for reflection and peer feedback, was instrumental in supporting participants’ adaptive expertise and confidence as novice teachers. Moreover, the course experience contributed to the emergence of a professional teaching identity, with participants reporting greater self-efficacy, a stronger sense of belonging to the teaching community, and increased motivation to persist in the profession. The results underscore the potential of integrating CBL and learning sciences principles into accelerated teacher preparation programs to enhance both cognitive and affective dimensions of teacher development. Full article

Background: Artificial intelligence (AI) is increasingly being integrated into healthcare, with applications ranging from predictive analytics to clinical decision support. In clinical nutrition, AI tools offer opportunities to improve workflow efficiency, enhance dietary assessment, and personalize nutrition care. Despite growing interest, little is known about registered dietitian nutritionists’ (RDNs) perceptions of AI in clinical practice. The aim of the present study was to assess RDNs’ attitudes toward AI use within a large healthcare system, along with their perceived barriers in this regard. Methods: A cross-sectional survey was developed through expert review and distributed electronically via REDCap to RDNs across Mayo Clinic’s academic campuses and affiliated health system sites. The 23-item survey included Likert-scale items addressing AI’s potential utilization within clinical care, perceived benefits and risks, and readiness for adoption. Responses were summarized using descriptive statistics. Factor analysis identified underlying constructs related to AI attitudes. Differences stratified by age and years of experience were evaluated using ANOVA. Results: Of the 185 RDNs invited, 64 (35%) responded. Two factors emerged: optimism regarding AI usage (Cronbach’s α = 0.94) and skepticism about implementation (α = 0.76). The overall mean ± SD score for optimism was 0.1 ± 0.6 (neutral), while skepticism averaged 1.0 ± 0.6 (moderate). Skepticism differed by years of experience (p = 0.012), with the lowest levels observed among RDNs with ≥21 years of practice. No significant differences were observed across age groups. Discussion: RDNs demonstrated neutral attitudes toward AI use but expressed concerns about accuracy, training, and implementation challenges. Addressing these concerns through education and structured implementation strategies may facilitate successful adoption of AI in dietetic practice. Full article

Reconciling economic growth with environmental protection continues to represent a central global challenge. As one of the world’s largest developing economies, China has advanced an ecological civilization strategy that offers a unique opportunity to evaluate how national policy can shape sustainable development trajectories. This study assesses whether China’s ecological civilization construction enhances urban green total factor productivity (GTFP). Using panel data for 283 Chinese cities (2006–2019), this study identifies ecological civilization pilot cities through a standardized and reproducible protocol, measures urban GTFP using the Global Malmquist–Luenberger (GML) index and estimates policy effects with a multi-period difference-in-differences (DID) design that accounts for staggered implementation and overlapping policies. The results indicate that urban GTFP exhibited an overall upward but fluctuating trend during the study period, with regional growth rates ranking East > Central > West and a tendency toward convergence in recent years. The analysis further indicates that national ecological civilization construction policies exert a statistically significant and positive effect on urban GTFP, with the findings remaining robust to parallel trend tests and multiple robustness checks. The promotion effect displays marked regional heterogeneity, being strongest in western cities, followed by eastern and central regions, and remains positive across different urban contexts, including resource-based and non-resource-based cities as well as cities within and outside the Yangtze River Economic Belt. Mechanism analysis further reveals that the policy effect operates primarily through industrial upgrading and green technological innovation, whereas the industrial structure rationalization channel is not statistically significant. Overall, this study provides a transparent and reproducible framework for pilot city identification and causal evaluation, offering policy-relevant insights for differentiated and region-specific ecological governance aimed at balanced regional development, industrial upgrading, and green technological innovation. Full article

Background: Advanced HIV disease (AHD) remains highly prevalent and is associated with increased morbidity and mortality. Missed opportunities for early diagnosis continue to represent a major public health challenge. Methods: We conducted a multicenter retrospective cohort study including antiretroviral-naive people with HIV (PWH) presenting with AHD (CD4 < 200 cells/µL and/or AIDS) diagnosed between 1 January 2019 and 31 December 2024 in four Italian infectious diseases units. Demographic, clinical and viro-immunological data were collected at baseline and during follow up. Information on healthcare contacts, HIV-related symptoms, and prior HIV testing in the two years preceding diagnosis was obtained through structured interviews. Results: Among 658 newly diagnosed participants with HIV, 224 (34%) presented with AHD, of whom 54% presented with AIDS. Most participants (86.2%) had never undergone HIV testing before diagnosis. In the year preceding diagnosis 29.3% accessed healthcare services for symptoms compatible with HIV infection without being tested for HIV. At one year, 84.2% achieved virological suppression, with a median CD4 count of 260 cells/µL. Overall loss to follow-up was 27.2%. Five-year survival was significantly higher in non-AIDS presenters compared with AIDS presenters (100% vs. 85%, p = 0.005). Conclusions: Missed diagnostic opportunities remain frequent among PWH presenting with AHD, despite prior healthcare contacts. Wider implementation of indicator condition-guided HIV testing is urgently needed to reduce late diagnosis and improve long-term outcomes. Full article

Allosteric modulation has emerged as a powerful strategy for achieving superior selectivity and safety in drug discovery and protein function regulation. Unlike highly conserved orthosteric sites, allosteric pockets are structurally diverse and less evolutionarily constrained, making them particularly suitable for modulation by designed miniproteins. Miniproteins can provide extended binding interfaces and high affinity for shallow, dynamic, or cryptic regulatory surfaces that are often inaccessible to small molecules. Recent advances in artificial intelligence (AI) are transforming this field through deep learning-based structure prediction and generative modeling. These AI-driven approaches enable the identification of allosteric hotspots, characterization of conformational ensembles, and de novo design of structured miniprotein binders. They are rapidly expanding the landscape for designing selective modulators across diverse allosteric targets, including GPCRs, receptor tyrosine kinases, nuclear receptors, ion channels, and other protein–protein interaction systems. This review summarizes state-of-the-art AI-driven computational methodologies for designing miniproteins as potential allosteric modulators and discusses their current challenges and future opportunities in allosteric drug discovery. Full article

As a novel form of cell death, the discovery of cuproptosis presents significant opportunities and challenges for the field of cancer therapy. Notably, polyphenolic compounds have attracted considerable research attention for their ability to induce cuproptosis. These natural compounds not only exhibit marked anti-inflammatory and antioxidant properties, but their polyhydroxy structures also enable effective chelation and transport of copper ions. This provides novel insights into cuproptosis-mediated cancer therapy. Therefore, in this review, we systematically outline copper metabolism, the mechanisms of cuproptosis, and its association with cancer, while providing an in-depth discussion of the effects and mechanisms by which polyphenolic compounds act as copper ionophores to inhibit tumor growth and progression through the induction of cuproptosis. This review indicates the promising potential of polyphenolic compounds in the field of cancer therapy and provides a theoretical basis for therapeutic strategies based on cuproptosis. Full article