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IntroductionSmoothing fMRI data prior to analysis is a fundamental and widely used technique to increase sensitivity. Unconstrained smoothing can also reduce the spatial specificity of the analysis by introducing artifac...

Abstract Access to large, diverse biomedical datasets is critical for advancing medical research, yet privacy regulations severely restrict data sharing. We present an end-to-end framework for privacy-preserving health d...

Abstract Background Fetal hypoxia is a leading cause of neonatal morbidity and mortality. Cardiotocography (CTG) is widely used to predict fetal hypoxia during labor, but its interpretation remains suboptimal. Artificial...

Abstract Objectives DNA methylation (DNAm) can change dynamically in response to intrinsic or external exposures. Characteristic methylation profiles are associated with accelerated biological ageing and poorer health ou...

Objective Endometriosis (EMs) is a chronic gynaecological condition characterised by the ectopic growth of endometrial tissue; however, its molecular mechanisms remain insufficiently understood. Ferroptosis, an iron-depe...

Aims. We investigate whether viscous cold dark matter (vCDM) in a Λ-dominated Friedmann-Lemaître-Robertson-Walker (FLRW) universe can alleviate the Hubble tension, while satisfying thermodynamic constraints. Here, we e...

Abstract Immunotherapy has transformed melanoma treatment, yet only a subset of patients benefit and clinically effective biomarkers remain limited. Here, we report a comprehensive analysis evaluating CD27 as a predictiv...

IntroductionBrain tumor lesions in MRI images are characterized by low contrast, indistinct boundaries, and irregular morphology, posing substantial challenges for automated detection. RT-DETR provides an end-to-end, NMS...

Background and objectives: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that performance in automated chest x-ray interpre...

Abstract Rapid and continuous urbanization has increased water demand in cities worldwide. Global assessments of urban water scarcity should be conducted using gridded hydrological information, but are hampered by the la...

BDA is an adaptation of Dragonfly Algorithm (DA) that optimizes computation for single-objective, discrete, and multi-objective problems. Combining BDA optimization algorithm with KNN and SVM classification algorithms ai...

ABSTRACT This research aimed to compare statistical methods (random forest, RIDGE, LASSO, and elastic net regression) for the prediction of body weight in purebred and crossbred pigs reared in Brazil. This prediction was...

Abstract This study provides a comprehensive dataset (FAIRUrbTemp) that addresses the lack of high-resolution urban air temperature data across Europe. It compiles sub-hourly street-level air temperature data from 811 lo...

To evaluate the frequency and types of data availability statements (DASs) of publications in journals indexed in the Dentistry, Oral surgery and Medical (DOM) category of Journal Citation Reports (JCR) database, and to ...

When voyage report data is utilized as the main data source for ship fuel efficiency analysis, its information on weather and sea conditions is often regarded as unreliable. To solve this issue, this study approaches AIS...

BackgroundOral submucosal fibrosis (OSF) is a chronic and progressive disorder, caused by chewing areca nuts, affecting the oral cavity and oropharynx. OSF is characterized by severe symptoms like severe burning sensatio...

Job-seeking tasks are always challenging. Often, job recommendation systems require human intervention in the job-seeking process. Therefore, the study focuses on recommendation of most relevant job sectors and prioritiz...

Calibrated measurements of electron velocity distribution functions (VDFs) are necessary to characterize fluid and kinetic processes in weakly collisional and nearly collisionless plasmas such as the solar wind. Therefor...

Purpose: Dental caries is one of the most prevalent oral diseases worldwide, and predicting Early Enamel Caries (EEC) and Advanced Enamel Caries (AEC) in intraoral imaging is a significant clinical research challenge. To...

In this study, we explore methods for minimizing labeling costs, which is a critical issue in the active learning process. We focus on efficiently selecting the most essential datasets from an entire pool of unlabeled da...

- In this study, we investigate the potential of using state-of-the-art neural network architectures to increase the accuracy in classification of Quranic recitations per verse. Using a dataset of more than 4000 audio re...

Botnet communications often rely on Domain Generation Algorithms (DGAs) to establish channels among attack orchestrators and compromised hosts (bots). Our approach leverages on Artificial Intelligence (AI) to differentia...

Abstract GIS (Gas-insulated switchgear) is a critical component of modern power grids, and accurate awareness of its internal insulation condition is essential to power system safety. PD (Partial Discharge) is a key indi...

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...