Search Results (253,403)

Long-term and extensive mineral mining in the Kuermutu mine section of the Two Rivers Nature Reserve in the Altai region has disrupted the ecological balance between soil and vegetation. To assess the effectiveness of various restoration measures in this abandoned mine area, we compared two restoration approaches—natural turf transplantation (NTT) and replanted economic crop grassland (ARGC)—against an unaltered control (original grassland). We employed 11 evaluation indices to conduct soil and vegetation surveys. We developed a comprehensive evaluation model using the Analytic Hierarchy Process (AHP) to assess restoration outcomes for each grassland type. Our findings indicate that both NTT and ARGC significantly improved ecological conditions, such as reducing soil fine particulate matter loss and restoring vegetation cover. This brought these areas closer to their original grassland state. The species composition and community structure of the NTT and ARGC vegetation communities improved relative to the original grassland. This was due to a noticeable increase in dominant species’ importance value. Vegetation cover averaged higher scores in NTT, while the average height was greater in ARGC. The soil water content and soil organic carbon (SOC) varied significantly with depth (p < 0.05), following a general ‘V’ pattern. NTT positively impacted soil moisture content (SMC) at the surface, whereas ARGC influenced SMC in deeper layers, with the 40–50 cm soil layer achieving 48.13% of the original grassland’s SMC. SOC levels were highest in the control (original grassland), followed by ARGC and NTT, with ARGC showing the greatest organic carbon content at 20–30 cm depths. A comprehensive AHP ecological-economic evaluation revealed that restoration effectiveness scores were 0.594 for NTT and 0.669 for ARGC, translating to 59.4% and 66.9%, respectively. ARGC restoration was found to be more effective than NTT. These results provide valuable insights into ecological restoration practices for abandoned mines in Xinjiang and can guide future effectiveness evaluations. Full article

The Sustainable Development Goals (SDGs), set in Agenda 2030, are examined in this study, along with India’s progress towards attaining them, and creative solutions based on forecasting and optimization modelling are presented. We investigate the complex alternatives between economic development, mainly focusing on GDP, sustainability—environmental concerns—and employment—a problem at the core of India’s sustainable development. We examine India’s development across several sectors like agriculture, mining, trades, construction, and so on, using a lexicographic goal programming framework, developing a hierarchical structure with four different levels and prioritizing the most important goal. Decisions are made from the highest priority level to the lowest priority level. Research goes beyond assessment by providing practical solutions to problems. A numerical study highlight the applicability of our strategy. By emphasizing the relevance of coordinating progress across decision-making levels for a more equal, prosperous, and sustainable future by 2030, this research delivers customized, context-aware solutions to accelerate India’s achievement of the SDG goals. Full article

Many tissues have a laminar structure, but there are limited technologies for establishing laminar co-cultures for in vitro testing. Here, we demonstrate that collagen–alginate–fibrin (CAF) hydrogel scaffolds produced using the reactive jet impingement bioprinting technique can produce osteochondral laminar co-cultures with well-defined interfaces between cell types and high cell densities to support cell–cell interaction across the interfaces. The influence of cell density and the presence of the two cell types on the production of extracellular matrix (ECM) and the emergent mechanical properties of gels is investigated using IHC, ELISA, gel mass, and the compression modulus. The results indicate that high-cell-density cultures and co-cultures with these specific cell types produce greater levels of ECM and a more biomimetic in vitro culture than low-cell-density cultures. In laminar scaffolds produced using TC28a2 chondrocytes and SaoS-2 osteoblasts, both cell density and the presence of the two cell types enhance ECM production and the mechanical properties of the cultures, presenting a promising approach for the production of more biomimetic in vitro models. Full article

In smart ranch management, cattle behavior recognition and tracking play a crucial role in evaluating animal welfare. To address the issues of missed and false detections caused by inter-cow occlusions and infrastructure obstructions in the barn environment, this paper proposes a multi-object tracking method called YOLO-BoT. Built upon YOLOv8, the method first integrates dynamic convolution (DyConv) to enable adaptive weight adjustments, enhancing detection accuracy in complex environments. The C2f-iRMB structure is then employed to improve feature extraction efficiency, ensuring the capture of essential features even under occlusions or lighting variations. Additionally, the Adown downsampling module is incorporated to strengthen multi-scale information fusion, and a dynamic head (DyHead) is used to improve the robustness of detection boxes, ensuring precise identification of rapidly changing target positions. To further enhance tracking performance, DIoU distance calculation, confidence-based bounding box reclassification, and a virtual trajectory update mechanism are introduced, ensuring accurate matching under occlusion and minimizing identity switches. Experimental results demonstrate that YOLO-BoT achieves a mean average precision (mAP) of 91.7% in cattle detection, with precision and recall increased by 4.4% and 1%, respectively. Moreover, the proposed method improves higher order tracking accuracy (HOTA), multi-object tracking accuracy (MOTA), multi-object tracking precision (MOTP), and IDF1 by 4.4%, 7%, 1.7%, and 4.3%, respectively, while reducing the identity switch rate (IDS) by 30.9%. The tracker operates in real-time at an average speed of 31.2 fps, significantly enhancing multi-object tracking performance in complex scenarios and providing strong support for long-term behavior analysis and contactless automated monitoring. Full article

Located in the eastern Paleo-Tethys Ocean and near the equator, carbonate sedimentation widely developed in the Sichuan Basin in the Permian Guadalupian period. Although the growth and decline of carbonate particles are closely related to the surrounding sedimentary environment, the relationships between the grain composition and distribution of the northwest Sichuan Basin and the sedimentary environment are not clear. This study explored the particle type, particle content, and sedimentary structure of 300 thin sections from 19 wells and seven field profiles of the Guadalupian period in the northwest Sichuan Basin, identified seven microfacies and four microfacies associations, analyzed the sedimentary environment, and established a sedimentary evolution model. The results show that there was a warm-water Dasycladaceae-dominated and foraminifera-dominated open platform developed in the early Roadian era in the research area. As the climate cooled during the late Roadian era, the warm-water carbonate sedimentary environment was replaced by a cold-water bryozoan-dominated and echinoid-dominated marginal sedimentary environment. As the climate continued to cool and the sea level dropped, the platform margin grain beach sediment underwent further development in the early Wordian era. In the late Wordian era stage, the sedimentary environment was influenced by the Dongwu movement, resulting in sea level changes and acidification caused by hydrothermal activities, which reduced the degree of grain beach development. During the Capitanian era, the climate became warmer due to the eruption of the ELIP. The uplift caused by the Dongwu movement resulted in a relative shallowing of the platform margin region, and hence, the grain beach sediment only developed in the southwest, while the northeast was dominated by deepwater basin sediments. The sudden transition from a warm-water, autotroph-dominated carbonate open platform to a cold-water, heterozoan-dominated carbonate platform margin resulted from a combination of tectonic movements, rapid sea level changes, and sedimentary environment changes during the Guadalupian era. Full article

In this study, the effectiveness of Fe₃O₄-based clay as a cost-effective material for removing methylene blue (MB) dye from aqueous solutions was evaluated. The structural properties of the clay and Fe₃O₄-based clay were analyzed using SEM, XRF, BET, XRD, FTIR, and TGA techniques. In this research, the effects of various aspects, such as adsorbent amount, contact time, solution pH, adsorption temperature, and initial dye concentration, on the adsorption of Fe₃O₄-based clay are investigated. The experiments aimed at understanding the adsorption mechanism of Fe₃O₄-based clay have shown that the adsorption kinetics are accurately described by the pseudo-second order kinetic model, while the equilibrium data are well represented by the Langmuir isotherm model. The maximum adsorption capacity (qm) was calculated as 52.63 mg/g at 25 °C, 53.48 mg/g at 30 °C, and 54.64 mg/g at 35 °C. All variables affecting the MB adsorption process were systematically optimized in a controlled experimental framework. The effectiveness of the artificial neural network (ANN) model was refined by modifying variables such as the quantity of neurons in the latent layer, the number of inputs, and the learning rate. The model’s accuracy was assessed using the mean absolute percentage error (MAPE) for the removal and adsorption percentage output parameters. The coefficient of determination (R²) values for the dyestuff training, validation, and test sets were found to be 99.40%, 92.25%, and 96.30%, respectively. The ANN model demonstrated a mean squared error (MSE) of 0.614565 for the training data. For the validation dataset, the model recorded MSE values of 0.99406 for the training data, 0.92255 for the validation set, and 0.96302 for the test data. In conclusion, the examined Fe₃O₄-based clays offer potential as effective and cost-efficient adsorbents for purifying water containing MB dye in various industrial settings. Full article

A series of new isatin-3-hydrazones bearing different ammonium fragments was synthesized by a simple and easy work-up reaction of Girard’s reagents analogs with 1-(3,5-di-tert-butyl-4-hydroxybenzyl)isatin. All derivatives have been shown to have antioxidant properties. In terms of bactericidal activity against gram-positive bacteria, including methicillin-resistant strains of Staphylococcus aureus, the best compounds are 3a, 3e, and 3m, bearing octyl, acetal, and brucine ammonium centers, respectively. In addition, brucine and quinine derivatives 3l, and 3j exhibit platelet antiaggregation activity at the level of acetylsalicylic acid, and this series of isatin derivatives does not adversely affect the hemostasis system as a whole. Thus, all the obtained results can lay the groundwork for future pharmaceutical developments for the creation of effective antibacterial drugs with reduced systemic toxicity due to the presence of antioxidant properties. Full article

This research aims to comprehensively analyze the influential challenges within the healthcare system of Bangladesh using the DEMATEL–ISM-based Multi-Criteria Decision Analysis (MCDA) approach. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology will be used to identify, evaluate, and prioritize challenges that have a notable impact on the efficiency and effectiveness of healthcare delivery in Bangladesh. The ISM methodology will help create hierarchical structures of challenges and explore the interdependencies among different factors. DEMATEL, a robust tool in decision science, will assist in understanding complex relationships among various criteria. Through this approach, this study intends to reveal the interconnections and causal relationships among different challenges, providing a systematic understanding of their impact on the healthcare system. Population growth was found to be the most challenging factor in the healthcare system of Bangladesh. The outcomes of this research are expected to contribute valuable insights to policymakers, healthcare practitioners, and stakeholders involved in the enhancement of the healthcare system in Bangladesh. Full article

The global consumer goods market is one of the most complex and multi-layered markets, utilizing many supply chain networks daily. Chinese-made exports comprise roughly 35% of the global consumer market, and this figure is only likely to continue increasing given China’s advanced manufacturing and technical abilities. This study develops the framework to analyze the risks of Chinese manufacturers exporting their products to the international markets and ultimately categorize each identified risk factor. Moreover, the Interpretive Structural Model (ISM) is employed to establish a hierarchical relationship between the risk factors, whereas the MICMAC method is used to analyze the categorical nature of each risk factor. Of the nine risk factors identified, two (New Competitors, War and Geopolitical Conflicts) resulted in the highest “V” risk rating, while one (Consumer Behavior) of the nine risk factors identified represented the lowest level “I” of risk. Prospective Chinese manufacturers that are looking to export consumer goods can use this research to aid in mitigating certain risk factors associated with entering the international market. Full article

Social Innovation is defined as both a concept and a tool for social change that, in recent decades, has formed the backbone of numerous policies implemented by the European Commission. However, part of the academic literature identifies several limitations in the discursive potentialities presented within the institutional framework. Accordingly, the aim of this article is to examine how European social policies on Social Innovation conceptualise the ‘being’ and ‘ought to be’ of citizenship, or the subject, from a critical Foucauldian perspective, with a view to problematising its implications for the analysis of the social reality represented in these policies. To this end, a qualitative strategy employing discourse analysis and the ‘logics of critical explanation’ approach is utilised, analysing 26 institutional documents from the European Commission issued between 2010 and 2024. The findings indicate that this discursive institutional framework construes citizenship as embodying a rational, active, capable, and conscious subject, committed to solving social problems. This conception of the ‘being’ of a citizen implies a significant transformation in the ‘ought to be’ of that citizen. If citizens are deemed capable of understanding and transforming their environment, they are thereby responsible for ensuring their own well-being and equipping themselves with the necessary skills to adapt to economic change, transforming them into “neoliberal subjects” within a Foucauldian framework. This new normativity appears to naturalise the functioning of social and economic structures and their dynamics, resulting in an undialectical analysis of social realities. Full article

Introduction: Urological conditions significantly impact global health, with increasing demand for urologists in both developed and developing countries. Disparities in access to surgical care between high-income countries (HICs) and low- and middle-income countries (LMICs) are evident. Despite advancements in urology, LMIC training programs often follow outdated curricula and traditional methods. Methodology: A comprehensive search strategy identified urology training programs in LMICs using the EduRank website, Google searches, and PubMed. Data were collected from the literature, official documents, and online resources, focusing on variables such as program duration, research requirements, and resident salaries. Results: The analysis revealed significant variability in program structures and requirements across LMICs. Residency training durations ranged from 4 to 6 years, with inconsistent research obligations and resident salaries averaging USD 12,857 annually, with a range from USD 5412 to USD 18,174. Fellowship opportunities were limited, with only a small number of programs achieving international accreditation. Conclusions: This study reveals disparities among urology training programs in LMICs, emphasizing the challenges faced by LMICs in providing comprehensive education. Outdated curricula, limited faculty, and insufficient resources contribute to the variability in training quality within LMICs. To bridge these gaps, there is a pressing need for standardized and locally tailored educational frameworks. Future research should focus on direct comparisons with programs in HICs to develop strategies that improve training opportunities and ensure equitable access to advanced urological education and care worldwide. Full article

Background: Burnout is a well-recognized problem among resident physicians. The COVID-19 pandemic impacted the dynamics of the patient/resident relationship and introduced new stressors for medical trainees, such as new restrictions in the hospital, increased patient death, and uncertainty around safety. There is limited research on the implementation of group therapy for residents to address issues of wellbeing and burnout during the pandemic. Method: In response to perceived burnout amongst internal medicine residents, a university-based internal medicine residency program in the Northeast United States implemented process groups, a form of group therapy, in the curriculum. These sessions were held hourly once every five weeks for each cohort of twelve residents during the academic year. We sought to measure resident burnout and identify themes that impacted wellbeing to facilitate the intervention of process groups during the pandemic. In 2021 and 2022, internal medicine residents were invited to complete the Maslach Burnout Inventory (MBI) and answer two open-ended questions about the factors that most negatively and positively influenced their wellness. Results: Of the 134 participants, 82% had high emotional exhaustion or depersonalization. The most prevalent themes hindering wellness were negative personal interactions at work, most notably rude behavior by patients, unsupportive attendings, residency program expectations, and work intensity. Findings unique to the pandemic include social isolation from family, distress from poor outcomes, and fear of contracting or spreading the virus. The most prevalent themes for supporting wellness were personal life, camaraderie, professional satisfaction, and program structured support. Conclusions: Our findings suggest that programs can tailor structured support to improve wellness, despite the presence of significant stressors. Full article

As a method of lightweight design, multi-material design aims to make targeted use of materials in order to reduce CO${}_2$ emissions. In this context, it can be described as one of the product development methods used to meet the challenges of climate change. However, since the design of structures in multi-material design is complex, topology optimization can be used to support the product developer. In this article, a multi-material topology optimization method is developed that combines the Velocity Field Level Set method with the Reconciled Level Set method. Furthermore, the current design is explicitly resolved in each iteration by means of multi-material remeshing. The edge collapse phase in the remeshing process is achieved by applying the producer consumer pattern. The developed method is then validated using known examples from the state of research, and the influence of the parameters of the method on the result is analyzed by means of studies. Full article

Critical infrastructure (CI) networks face diverse natural hazards, such as flooding. CI network modeling methods are used to evaluate these hazards, enabling the analysis of cascading effects, flood risk, and potential flood risk-reducing measures. However, there is a lack of linkage between analytical methods and potential multisectoral, structural, and nonstructural measures. This deficiency impedes the development of CI network (CIN) models as robust tools for active flood risk management. CI operators have significant expertise in managing and implementing flooding-related measures within their sectors. The objective of this study is to bridge the gap between the application of CIN modeling and the consideration of flood measures in three steps. The first step is conducting a literature review and CI stakeholder interviews in Central Europe on flood measures. The second step is the culmination of the findings in a comprehensive catalog detailing flood measures tailored to five CI sectors, with a generalized category spanning each phase of the disaster risk management cycle. The third step is the validation of the catalog’s utility in a proof-of-concept study along the Vicht River in Western Germany with a model-based flood risk analysis of five flood measures. The application of the flood measure catalog improves the options available for active and residual flood risk management. Additionally, the CI flood risk modeling approach presented here allows for consideration of disruption duration and recovery capability, thus linking the concept of risk and resilience. Full article

Using synchrotron radiation, a comparative VUV excitation study of YAG ceramics doped with Eu³⁺ and Cr³⁺ ions under VUV excitation (10.5–3.7 eV) at 9 K was conducted in this work. Both ceramics exhibit distinct excitation peaks in the VUV region, indicating high-energy transitions related to the internal electronic levels of the dopants and interband transitions within the YAG matrix. For YAG:Eu, the main excitation peaks at 6–7 eV correspond to transitions within the 4f-shell of Eu³⁺ and Eu³⁺-O²⁻ charge transfer states, showing weak dependence on the crystal field and high energy conversion efficiency. In contrast, YAG:Cr shows broad excitation bands due to transitions between levels influenced by strong crystal field interactions, resulting in lower luminescence efficiency. The study highlights the importance of crystal structure and dopant interactions in determining the spectral characteristics of YAG-based ceramics, offering potential for their application in advanced optoelectronic devices. Full article