Cerca risorse accademiche

Graphical models allow modeling of complex dependencies among components of a random vector. In many applicationsof graphical models, however, for example microbiome data, the data have an excess number of zero values. W...

BackgroundPatients with differentiated thyroid cancer (DTC) undergoing radioactive iodine (RAI) therapy experience concurrent physical and psychological symptoms, yet the dynamic interplay among these symptoms remains in...

Los modelos gráficos probabilísticos, tales como las redes bayesianas y los diagramas de influencias permiten representar de forma coherente el conocimiento de un dominio bajo condiciones de incertidumbre. Están basad...

The sustainable utilization of post-consumer waste glass in concrete has emerged as a promising approach to reduce cement consumption, mitigate landfill disposal, and enhance material performance. However, most previous ...

ABSTRACT The article considers econometric ridge regression models of the risk-sensitive sunflower yield on the example of an export-oriented agricultural crop. In particular, we have proved that despite the functional m...

INTRODUCTION. Today, the visual image of the media influences the popularity of the publication. The aim of the study is to analyze the compositional and graphic models of Russian literary magazines. MATERIALS AND METHOD...

"The global field protection (GFP) was developed to protect and optimize pest management resources integrating satellite images for precise field demarcation with physical models of controlled release devices of pesticid...

Abstract This work introduces a metaheuristic (MH) optimization method, which is inspired by the red-tailed hawks’ predatory behavior is Improved Red-tailed Hawk (IRTHA) Algorithm. The algorithm uses a dynamic adjustme...

Abstract Background Adipose tissue is increasingly recognized as an important component of the tumor microenvironment of colorectal cancer (CRC) and actively contributes to the progression of the disease. Adipose stem ce...

Gaussian process regression models are used as statistical representations of computational models, due to their flexibility in capturing the shape of smooth functions. The Gaussian process regression model has a number ...

Abstract Biochar yield prediction plays a critical role in optimizing pyrolysis processes and advancing sustainable biomass utilization. This study introduces a hybrid machine learning framework that integrates Decision ...

Air temperature is a highly essential parameter in weather forecasting methods and a critical variable for predicting future weather patterns. An accurate temperature prediction system can assist individuals and organiza...

Abstract Background Bacterial diseases include any illness caused by bacteria. Bacteria are tiny microorganisms that can only be seen with a microscope. Other types of microorganisms include viruses, fungi, and some para...

Abstract The rapid adoption of AI is transforming industrial wastewater treatment by enabling real-time monitoring, predictive control, and operational optimization. Publications on the subject accelerated sharply betwee...

Abstract Background With the changes in coronary artery bypass grafting (CABG) guidelines, the demographic composition of surgical patients and their preoperative baseline characteristics have also shifted. However, it r...

Abstract Background Cardiometabolic multimorbidity (CMM) leads to adverse health outcomes. Based on data from the China Health and Retirement Longitudinal Study (CHARLS), we aimed to explore the cumulative exposure and d...

Abstract The current study employs Bayesian-regularization optimizer technique with artificial neural networks (BROT-ANNs) to investigate the significance of local thermal non-equilibrium influences on wax + sand-bas...

Abstract Background Chronic liver disease (CLD) and heart disease (HD) are major contributors to global morbidity and mortality. Although increasing evidence supports close interactions between the liver and heart, popul...

Abstract Background Rifampicin-resistant tuberculosis (RR-TB) remains a major public health concern, particularly in African populations where undernutrition is common. Many participants with RR-TB initiate treatment wit...

Traditional metasurface design is limited by the computational cost of full-wave simulations, preventing thorough exploration of complex configurations. Data-driven approaches have emerged as a solution to this bottlenec...

Abstract Background Ambient air pollution has been linked to atrial fibrillation (AF), yet the underlying metabolic mechanisms remain poorly understood. Methods We analyzed 227,324 UK Biobank participants without baselin...

Abstract Background Dengue fever is hyperendemic in the Lao People’s Democratic Republic (PDR), where transmission is driven by Aedes mosquitoes and influenced by large-scale climatic phenomena, including the El Niño-...

Abstract Objective Given the distinct intratumoral heterogeneity of glioblastoma (GB) and solitary brain metastasis (SBM), habitat-based radiomics derived from neurite orientation dispersion and density imaging (NODDI) m...

Abstract Background Epithelial ovarian cancer (EOC) is a highly heterogeneous malignancy with significant morbidity and mortality, and cisplatin (DDP) resistance remains a major obstacle in its treatment. Previous studie...