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IntroductionFlood risk assessment has become increasingly important in regions vulnerable to climate-induced disasters. This study addresses the need for a robust decision-support framework by proposing a hybrid multi-cr...

As a key element of human settlements and fundamental features in maps, buildings play a critical role in urban planning and environmental monitoring. Automatically extracting buildings from remote sensing images is of s...

ObjectiveTo understand the genetic diversity and antimicrobial resistance characteristics of Salmonella enterica serovar enteritidis （SE） isolated from foodborne disease surveillance in Sichuan Province from 2020 to ...

Federated Prompt Learning (FPL) enables efficient collaborative adaptation of large-scale models, but it remains vulnerable to data heterogeneity: locally optimized prompts may become biased, thereby weakening the aggreg...

Aim: The aim of this study is to synthesize and characterize the more efficient photocatalyst [zinc oxide nanoparticles (ZnONPs)] via the addition of dopant lanthanum (La) and pineapple peel extract. Pineapple peel as a ...

Introduction and aims: Healing abutment dislodgement is a common clinical complication in dental implantology, yet its impact on peri-implant soft tissue immunity remains unclear. This exploratory pilot study aimed to in...

Purpose: To investigate the cyclodextrin-mediated solubilization and physical stabilization of novel 1-indanone thiosemicarbazone (TSC) candidate drugs that display extremely high selfaggregation and precipitation tenden...

Background A new approach to estimating gene carrier rates was introduced in 2019, relying on the frequency of pathogenic/likely pathogenic (P/LP) variants from ClinVar in a large, population sequencing database (Genome ...

ObjectiveAnalysis of the antimicrobial resistance characteristics， molecular characteristics， and homology of Staphylococcus aureus， the source of two cases of food poisoning in Nan’an District， Chongqing Munic...

Abstract Multi-label chest X-ray classification faces three critical challenges: (i) inadequate modeling of inter-pathology dependencies despite clinical co-occurrence patterns, (ii) severe class imbalance (11.2−47.6...

Abstract Background Phosphatidylinositol transfer protein-1 (pitp-1) is involved in the phosphoinositide (PIP) cycle. The role of pitp-1 in promoting healthy longevity remains unknown. Our previous work showed that the P...

Introduction: Tuberculosis (TB) is a major cause of morbidity and mortality globally. Despite being a TB-endemic country, many pulmonary TB cases remain clinically undiagnosed and are detected on postmortem examination. ...

Abstract Background Bleeding tendencies can occur with uremia. Objectives To characterize primary hemostatic function in dogs with acute kidney injury (AKI). Animals Ten dogs with International Renal Interest Society AKI...

Objective: Permanent catheters are used for vascular access in some patients undergoing hemodialysis (HD). Our aim in this study was to evaluate the risk factors of permanent catheter thrombosis and the necessity of anti...

Background and objectivesMitochondrial dysfunction and oxidative stress are key contributors to the progression of Alzheimer’s disease (AD). Salidroside, a bioactive glycoside derived from Rhodiola rosea, exhibits neur...

Abstract Background Dual antithrombotic treatment (DAT) with clopidogrel and rivaroxaban sometimes is prescribed to cats with hypertrophic cardiomyopathy at risk of thromboembolism. To date, no studies have evaluated the...

IntroductionAssisted reproductive technology (ART) practice varies widely across centers and evolves rapidly, often outpacing the generation of randomized evidence. OPERA (Observational ProjEct for a Research database fo...

In the face of dynamic changes in the economy, there is a growing demand for multivariate statistics for cross‑classified domains. In economic statistics, this demand poses a particular challenge owing to the unique ch...

IntroductionAnti-amyloid antibodies have the potential to become the standard of care in Alzheimer’s Disease (AD) and large datasets from clinical trials allow the testing of predictive models on fluid biomarkers and f...

Ensembles of artificial neural networks (ANN) have been used in the last years as classification/regression machines, showing improved generalization capabilities that outperform those of single networks. However, it has...

Frameworks são a implementação de uma estrutura de aplicação genérica e reusável, a qual pode ser especializada para aplicações específicas, através da criação de subclasses ou componentes reusáveis. Frame...

Ensemble methods show improved generalization capabilities that outperforrn those of single larners. lt is generally accepted that, for aggregation to be effective, the individual learners must be as accurate and diverse...

This book, which is intended as a graduate level text and a general professional reference, presents the methods of discrete choice analysis and their applications in the modeling of transportation systems. The first sev...

The island size distribution, at thermodynamic equilibrium, of interacting particles in a one-dimensional lattice-gas model is revisited. A derivation for the exact island size distribution of nearest neighbor interactin...