Search Results (437,314)

This paper explores the configuration and deployment of UAV nests for power inspection operations, focusing on potential nest failures. It proposes a two-stage location-allocation method. The problem is divided into two subproblems, each modeled as an integer linear programming (ILP) problem. The first subproblem identifies the minimal set of nodes for nest construction using the commercial solver Gurobi. The second subproblem involves UAV nest type selection and task allocation, solved with an ILS-SA heuristic algorithm. A case study in China shows that our method reduces total costs by 33.9% and decreases the number of UAV nests by 32% compared to the current greedy deployment method used by the power grid company. These results demonstrate the effectiveness and practicality of our approach in improving the reliability and cost-efficiency of UAV-based power inspection systems. Full article

Cardiovascular disease (CVD) remains a leading cause of mortality globally, underscoring the need for robust predictive biomarkers to enhance risk stratification. Soluble lectin-like oxidized low-density lipoprotein receptor-1 (sLOX-1) has emerged as a promising biomarker linked to oxidative stress and endothelial dysfunction, both critical mechanisms in atherogenesis and cardiovascular events. Objectives: This study aimed to evaluate the prognostic value of sLOX-1 in predicting major adverse cardiovascular and cerebrovascular events (MACCEs), myocardial infarction (MI), heart failure (HF), and stroke outcomes through a systematic review and meta-analysis. Methods: A systematic literature search was conducted across PubMed, Scopus, Web of Science, and Ovid databases for studies published between 2014 and October 2024. Eligible studies assessed the association between sLOX-1 levels and future CVD outcomes in adult populations. Meta-analysis pooled hazard ratios (HRs) were assessed using random- and fixed-effects models. Heterogeneity was evaluated using the I² statistic, and study quality was assessed using the Newcastle–Ottawa Scale. Results: Fourteen studies were included, encompassing diverse populations with coronary artery disease (CAD), acute coronary syndrome (ACS), or stroke, with follow-up durations ranging from 30 days to 19.5 years. The meta-analysis of three studies on CAD patients demonstrated a significant association between elevated sLOX-1 levels and increased MACCE risk (HR: 2.3, 95% CI: 0.99–5.33, p = 0.05), albeit with high heterogeneity (I² = 83%). The fixed-effects analysis yielded a more consistent HR of 1.47 (95% CI: 1.19–1.81, p < 0.01). Conclusions: sLOX-1 shows promising potential as a prognostic biomarker for CVD and is associated with an increased risk of MACCEs in CAD patients. However, the high heterogeneity among the included studies highlights the need for standardized protocols and larger, well-designed prospective studies to validate its clinical utility. The integration of sLOX-1 into risk prediction models could improve CVD management by identifying high-risk individuals for targeted interventions. Full article

As global warming continues, extremes in key climate parameters will become more frequent. These extremes are one of the main challenges for the sustainability of cities. The aim of this study is to provide a better understanding of the evolution of extremes in precipitation (pcp) and maximum (Tmax) and minimum (Tmin) temperatures in Grand-Nokoué to improve the resilience of the region. To this end, historical daily precipitation and maximum (Tmax) and minimum (Tmin) temperature data from the Cotonou synoptic station were used from 1991 to 2020. First, the extreme events identified using the 99th percentile threshold were used to analyze their annual and monthly frequency. Secondly, a Generalized Extreme Value (GEV) distribution was fitted to the annual maxima with a 95% confidence interval to determine the magnitude of the specific return periods. The parameters of this distribution were estimated using the method of L moments, considering non-stationarity. The results of the study showed significant upward trends in annual precipitation and minimum temperatures, with p-values of 0.04 and 0.001, respectively. Over the past decade, the number of extreme precipitation and Tmin events has exceeded the expected number. The model provides greater confidence for periods ≤ 50 years. Extreme values of three-day accumulations up to 68.21 mm for pcp, 79.38 °C for Tmin and 97.29 °C for Tmax are expected every two years. The results of this study can be used to monitor hydroclimatic hazards in the region. Full article

Since tourism involves the movement of people, mobility and tourism are deeply interconnected, with mutual growth dynamics but also shared negative effects, such as greenhouse gas emissions. Among the wide spectrum of policies and strategies for making tourism sustainable, soft mobility has gained increasing importance, becoming more and more a widespread form of active tourism, especially after the COVID-19 pandemic. A sustainable approach, aimed at maintaining a balance between economic development and environmental protection, requires greater promotion of soft mobility and integration with rail transport. To make active tourism truly sustainable, the support of the railway network, a low-emission collective transport system, is needed, allowing people to reach destinations and move between destinations, taking advantage of intermodality. This needs the improvement of the connection between the two transport systems, the creation of services for visitors, and the organization of an appropriate railway service. Within this framework, the present work defines a methodology that, starting from the analysis of the relationships between railway stations, the soft mobility network, and attractions in the surrounding territory, allows us to identify stations that could serve as intermodal hubs for connecting local resources through soft mobility, according to a priority scale defined by the Soft Mobility HUB (SMH) Index. The methodology, applied to Italian railway stations, is based on the use of GIS (Geographic Information System) and AHP (Analytic Hierarchy Process), allowing a rigorous, transparent, and participatory approach. The proposed model, which is replicable in other contexts, has been effective in identifying, in different scenarios, the stations most suitable for becoming hubs for soft mobility. It can serve as a support tool for decision-makers to maximize investments by focusing on stations capable to provide the greatest contribution to the development of active and diversified tourism. Full article

Intestinal organoids are useful for the in vitro investigation of the properties of intestinal epithelial cells and their interaction with the gut microbiome. In this study, we cultured cecal and colonic organoids from common marmosets, which are highlighted as model nonhuman primates but are susceptible to gastrointestinal diseases. The organoids established were capable of passaging and long-term culture. The results of quantitative reverse transcription PCR and immunostaining showed that the organoids differentiated into major cell types (colonocytes, goblet cells, and enteroendocrine cells) in the intestinal epithelium, enabling the in vitro analysis of these cells in marmosets. The organoids could therefore represent a useful model for the investigation of gut physiology in relation to gastrointestinal diseases and host-microbiome interactions, further expanding medical, biological, and veterinary research in the future. Full article

Introduction: Future evolutions of artificial intelligence (AI) will support autonomous surgery, conducted without the need for human decision making and implementation, but we have not yet achieved this level of technology. Presently, the predominant applications of AI in urological surgery are achieved using the tool of computer vision. This review aims to summarise potential intra-operative AI tools for urologists. Method: A systematic search was conducted through Scopus, PubMed, Embase, and Medline by two independent reviewers, with a third to resolve any conflicts. As a rule, only original articles describing the use or potential use of artificial intelligence intra-operatively in urologic surgery were included. A total of 60 articles were reviewed. Key content and findings: There is significant research investigating the ability to diagnose bladder tumours using AI assistance at the time of cystoscopy, with studies showing the ability to also grade tumour based on appearance and differentiate between carcinoma in situ and indeterminate lesions. With the aid of AI, kidney stones can accurately be identified and diagnosed morphologically intra-operatively. Various studies show the ability to overlay 2D and 3D anatomical models on a surgeon’s screen, as well as correctly identify important anatomical landmarks and surgical instruments, with AI support. All types of intra-operative data can be analysed with AI to assess surgeon performance, predict post-operative outcomes such as continence post prostatectomy, and recognise complications such as bleeding and ischemia. Conclusions: AI holds great potential for urologists during surgery to improve safety, diagnostic accuracy, identification of anatomical structures and surgical instruments, assessment of the surgeon for self-evaluation, and prediction of post-operative outcomes. Before the use of AI as an aid during surgery becomes standard practice, more prospective studies are needed to evaluate its real-world application, feasibility, and costs. Full article

The integration of the Internet of Things (IoT) in education has fundamentally transformed personalized online learning (POL), enabling adaptive, context-aware environments that tailor learning based on real-time environmental data or device usage. This approach fosters learner-centered environments that customize content and pace according to individual needs and preferences. All are powered by interconnected devices and data analysis. This review systematically explores various technological and pedagogical approaches to integrate IoT in POL systems, including devices, communication technologies, context-aware mechanisms, integration frameworks, computing technologies, and implemented pedagogical methods. By examining 61 peer-reviewed studies, this research categorizes IoT technological and pedagogical approaches, evaluates their impacts on personalization, and identifies challenges such as data privacy and resource constraints. The key findings explore how IoT-enhanced POL significantly improves learner engagement, adaptive learning, and academic outcomes, assessed via performance analytics, tests, and questionnaires. However, gaps in interoperability standards, learner profiling, cognitive load modeling, and the ethical use of data highlight the need for a unified framework. In addition, it emphasizes the transformative potential of IoT in creating personalized and inclusive learning environments. The study concludes by proposing an IoT-based POL framework and recommends directions for future research and practical applications. Full article

Anxiety and stress are major challenges for public health and represent significant symptoms in long COVID. Despite the repercussions on quality of life and mental health, their impacts have not been systematically consolidated in the Brazilian population. Our objective was to analyze the indicators and predictors of anxiety and perceived stress in people who have experienced long COVID in different regional contexts in Brazil. This cross-sectional survey was carried out in the five regions of Brazil and included 4239 adult individuals who had at least one diagnosis of COVID-19. Participants responded to questions on the Depression, Anxiety, and Stress Scale (DASS-21). The GAMLSS class of regression models estimated the predictors associated with the outcomes investigated. The results showed a predominance of participants with a single diagnosis of COVID-19 (65.4%), mild clinical conditions (89.5%), and high adherence to immunization strategies (98.4%). Overall, 48.5% of participants had residual symptoms that started between 4 and 12 weeks after the acute phase of COVID-19 infection. Positive screening for anxiety and perceived stress was associated with female gender, diagnosis of chronic diseases, presence of physical symptoms, moderate or severe clinical condition in the acute phase of the infection, and the need for hospitalization. Through this study, we confirmed that anxiety and stress, developed or exacerbated during the post-COVID-19 phase, represent significant challenges in the Brazilian population. Sociodemographic, clinical, and care conditions were predictors of the outcomes assessed. Knowing these repercussions can allow for personalizing mental health care and help structure evidence-based public policies. Full article

Introduction: Consent-taking for surgery evolved from a historical paternalistic approach to informed consent in the mid-20th century. Modern healthcare models prioritize patient-centric care, and the use of multimedia tools may overcome challenges such as language barriers and complex medical surgical steps. This study evaluates the impact of an educational video on patient satisfaction for those undergoing percutaneous nephrolithotomy (PCNL), a procedure where explaining complexities verbally can be challenging. Materials and Methods: A randomized control trial was conducted at a tertiary care center in India from July 2022 to April 2024. A total of 232 adult patients scheduled for PCNL were randomly assigned to a study group (Group A) or a control group (Group B). Group A viewed an educational video about PCNL, while Group B provided standard written consent. The video, presented in patients’ native languages, covered procedural details, potential outcomes, and post-operative care. Patient satisfaction was assessed using a 10-question questionnaire at discharge, with scores ranging from one (poor) to five (best). Statistical analysis was performed using SPSS software to compare outcomes between the two groups. Results: The study found that Group A exhibited significantly higher satisfaction compared to Group B across all domains. Group A demonstrated a better understanding of the procedure, improved knowledge of post-operative care, reduced anxiety, and a greater awareness of potential complications. Specifically, the mean satisfaction scores for Group A were higher in understanding the procedure (13.15 vs. 10.00), post-operative care (8.46 vs. 6.84), and overall anxiety (8.65 vs. 6.96). The video also improved patients’ comprehension regarding potential complications and the need for further procedures. Complication rates and hospital stay durations were similar between both groups. Discussion: The educational video significantly enhanced patient satisfaction and the understanding of PCNL. This multimedia approach provided a consistent, clear explanation of the procedure, which improved patient comprehension and reduced anxiety, irrespective of literacy levels. These findings support the integration of video-assisted consent in pre-operative education to enhance patient engagement and satisfaction. Conclusions: The use of an educational video for consent in PCNL improves patient understanding and satisfaction. This method effectively complements traditional consent processes, providing a valuable tool for patient education in complex procedures. Full article

Porphyry molybdenum deposits hold significant potential for deep exploration. However, in the Dasuji molybdenum deposit, quartz porphyry, granite porphyry, and syenogranite are sporadically exposed beneath low mountains and hilly terrain, limiting the effectiveness of traditional geological methods. Consequently, geophysical techniques have become essential in this region. This study provides new magnetism and resistivity data obtained through high-precision aeromagnetic surveys and controlled-source audio-magnetotellurics (CSAMT) profiles. These results reveal concealed deep porphyries, identify deep-seated molybdenum ore bodies, and establish a porphyry-type molybdenum metallogenic model. The porphyries exhibit the lowest magnetic values (about −200 to 370 nT), suggesting that molybdenum mineralization-related granitoids have exceeded the Curie temperature and undergone an intense magnetic weakening effect. Ferromagnetic or ferromagnetic substances have transformed into paramagnetic substances. The CSAMT results indicate that the mineralized granite porphyry generally has medium to high resistivity (300 Ω·m to 500 Ω·m) and dips southward with a 60° inclination angle. Additionally, an unclosed low-resistance anomaly in the deep region of site 0 indicates promising potential for further mineral exploration and the discovery of deeper mineralized porphyries. We interpret weak magnetic anomalies and variations in resistivity as caused by high crystallization temperatures, low oxygen fugacity, and hydrothermal alteration in the context of porphyry molybdenum deposit mineralization. Full article

Cracking in paddy during processing and storage can significantly degrade its quality and economic value. This study elucidates the crack formation law in paddy across various drying stages through experiments and simulations that integrate multiple physical fields. A predictive model for crack occurrence, based on the relationship between the probability of cracking and drying time, is developed by introducing a critical moisture evaporation coefficient to delineate safe regio for cracking. The findings indicate a sharp increase in the percentage of drying cracks during the initial rapid drying phase, with continued escalation through the slower drying phase. The predictive model’s coefficient of determination exceeded 0.85, demonstrating its efficacy in forecasting crack progression. The primary driver for crack initiation and growth was identified as the cumulative effect of the moisture gradient, with the yield stress proving inadequate to counteract the stresses induced by this gradient, leading to cracking in paddy grains. These results furnish valuable insights for accurately predicting and managing crack development in paddy. Full article

Water quality in aquaculture has a direct impact on the growth and development of the aquatic organisms being cultivated. The rapid, accurate and comprehensive control of water quality in aquaculture ponds is crucial for the management of aquaculture water environments. Traditional water quality monitoring methods often use manual sampling, which is not only time-consuming but also reflects only small areas of water bodies. In this study, unmanned aerial vehicles (UAV) equipped with high-spectral cameras were used to take remote sensing images of experimental aquaculture ponds. Concurrently, we manually collected water samples to analyze critical water quality parameters, including total nitrogen (TN), ammonia nitrogen (NH₄⁺-N), total phosphorus (TP), and chemical oxygen demand (COD). Regression models were developed to assess the accuracy of predicting these parameters based on five preprocessing techniques for hyperspectral image data (L2 norm, Savitzky–Golay, first derivative, wavelet transform, and standard normal variate), two spectral feature selection methods were utilized (successive projections algorithm and competitive adaptive reweighted sampling), and three machine learning algorithms (extreme learning machine, support vector regression, and eXtreme gradient boosting). Additionally, a deep learning model incorporating the full spectrum was constructed for comparative analysis. Ultimately, according to the determination coefficient (R²) of the model, the optimal prediction model was selected for each water quality parameter, with R² values of 0.756, 0.603, 0.94, and 0.858, respectively. These optimal models were then utilized to visualize the spatial concentration distribution of each water quality parameter within the aquaculture district, and evaluate the rationality of the model prediction by combining manual detection data. The results show that UAV hyperspectral technology can rapidly reverse the spatial distribution map of water quality of aquaculture ponds, realizing rapid and accurate acquisition for the quality of aquaculture water, and providing an effective method for monitoring aquaculture water environments. Full article

High-quality data samples are essential for the early detection of bearing failures and the analysis of bearing behavior. The accurate simulation of bearing fault conditions can provide valuable insights into understanding failure mechanisms. This paper establishes a new numerical simulation method for double-row cylindrical roller bearing (DCRB) faults based on the augmented Lagrange dynamics method, overcoming the limitations of previous models by incorporating fault conditions related to cage fracture. This method accounts for the dynamic behavior of the rollers during the motion cycle and their interactions with other DCRB components. By comparing the characteristic frequencies of the fault components, the model not only replicates the dynamic behavior of faulty DCRBs more accurately but also offers a deeper understanding of fault-induced dynamics. This advancement provides a more comprehensive and realistic tool for bearing fault analysis. Full article

Background/Objectives: Cold atmospheric plasma (CAP) has shown a strong anticancer effect on a variety of tumors, presenting a new approach for the effective treatment of oral squamous cell carcinoma (OSCC), one of the most prevalent malignant neoplasms with a high mortality rate. Here, we aimed to comprehensively investigate the antitumor potential of two approaches of CAP treatment on both two-dimensional and three-dimensional OSCC cell line models, as well as to analyze whether plasma treatment enhances the sensitivity of OSCC to chemotherapy. Methods: An in-house designed plasma needle, with helium as a working gas, was used to treat the SCC-25 cell line directly or indirectly via plasma-treated medium (PTM). The antitumor effect of CAP was assessed by measuring cell viability, apoptosis, adhesion, and migration. In addition, the combined effect of PTM and cisplatin was analyzed in SCC-25 tumor spheroids, as a more complex and reliable in vitro model. Results: Both plasma treatments showed time-dependent antitumor effects affecting their viability, adhesion, and migration. The rate of apoptosis was higher after incubation with PTM and is mediated by the intrinsic pathway. By utilizing the 3D spheroid carcinoma model, we confirmed the antitumor potential of CAP and additionally demonstrated an increased chemosensitivity of PTM-treated carcinoma cells. Conclusions: The results of our study illustrate a promising avenue for the application of CAP as a therapeutic option for OSCC, either as a standalone treatment or in combination with cisplatin. Full article

Background and Objectives: Peripheral nerve defect regeneration is subject to ongoing research regarding the use of conduits associated with various cells or molecules. This article aims to correlate histopathological and clinical outcomes at the end of a 12-week experiment performed on a rat sciatic nerve model and show which repair method has the best results. Materials and Methods: Forty male Wistar rats were divided into four groups to compare the results of four different methods of reconstruction for sciatic nerve defect: (1) nerve graft–control group, (2) empty aortic conduit, (3) aortic conduit filled with platelet-rich plasma (PRP) and (4) aortic conduit filled with mesenchymal stem cells. There were three clinical examinations: a sensitivity test, a mobility test and a footprint test. After 12 weeks, the nerves were excised and assessed microscopically using conventional Hematoxylin and Eosin staining (HE), special stains and immunohistochemistry (IHC). Results: Nerve regeneration was observed in all batches, both from the clinical and histopathological assessment; the two types of examinations correlated for each batch. Immunohistochemistry and special staining offered a more complete image of the nerve regeneration results. Conclusions: Superior nerve regeneration was achieved using an aortic conduit in combination with either PRP or stem cells, while the empty aortic conduit recorded lesser results. Full article