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We are pleased to present to the entire academic community and the general public the following work, which contains recent research results of a group of teachers from the Faculty of Educational Sciences in areas such a...

Abstract Microplastics (MPs) have emerged as pervasive contaminants in surface and ground water systems worldwide, making it an increasing threat to ecosystem integrity and human health. Despite a rapid increase in resea...

Abstract Background Disruption of cellular proteostasis leads to the accumulation and persistence of pathogenic proteins that drive oncogenesis. Key oncogenic and tumor suppressor proteins are frequently dysregulated in ...

Abstract Tribal communities, with their unique cultures, traditions, and economies, represent diverse indigenous groups worldwide. They thrive on sustainable practices and are deeply intertwined with the environment. How...

ObjectivesThis study aims to delineate the research landscape and evolutionary trajectory of the GLIM criteria in oncology. By mapping development from initial diagnosis to emerging frontiers, it identifies research hots...

Abstract Autonomous driving systems critically rely on the precise detection of distant, small traffic signs to ensure safe and efficient navigation. Nonetheless, existing detection algorithms are confronted with several...

BackgroundCatheter-related thrombosis (CRT) is a common complication following central venous catheter (CVC) placement in patients with cancer, increasing mortality and adverse outcomes. However, robust evidence on optim...

The article presents the developed algorithm and software for automated monitoring of strawberry plant growth using neural network technologies. The YOLO11x and YOLOx-seg models, pre-trained by transfer learning, are ada...

Abstract Neoadjuvant chemotherapy (NAC) induces critical morphological and vascular changes in breast cancer tumors, yet existing deep learning techniques in medical imaging tend to neglect these longitudinal changes thr...

This study presents a comprehensive approach to nail condition classification using multi-illumination imaging and uncertainty-aware deep learning. We developed a diagnostic system capturing nail images under ten lightin...

Abstract Background Apoptosis is a fundamental biological process and a central determinant of therapeutic response in breast cancer (BC). Resistance to immunotherapy is increasingly recognized to be driven, in part, by ...

Abstract Background Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine lear...

Diabetic retinopathy (DR) is one of the leading causes of preventable blindness worldwide, making timely and accurate detection crucial for effective management. This study introduces DR-NetFusion, a novel hybrid deep le...

BackgroundClimate change is increasingly recognized as a critical driver affecting the transmission and distribution of parasitic diseases. However, a comprehensive synthesis of the global research landscape in this inte...

Nanophotonic light–matter interfaces hold great promise for quantum technologies. Enhancing local electromagnetic fields, they enable highly efficient detectors, can help realize optically connected processors, or serv...

PurposeImmune dysregulation and neuroinflammation have been increasingly implicated in depression, and nanotechnology-based approaches are being actively explored for targeted delivery and immunomodulation. However, a sy...

Background: Barrett's esophagus (BE) represents a critical precancerous lesion arising from chronic gastroesophageal reflux disease (GERD), with significant risk of progression to esophageal adenocarcinoma. Despite advan...

Purpose – This study systematically maps global research trends on entrepreneurial readiness in vocational education from 2020 to 2025 and identifies implications for strengthening the Indonesian vocational education s...

"Electroencephalography (EEG) system validation faces a fundamental challenge: the absence of ground truth when measuring human subjects. Physical head phantoms provide controlled testing environments with known signals;...

Abstract Research in power system is persistently hampered by the scarcity of high‐fidelity, public grid data due to security and privacy constraints. Existing unimodal synthesis methods fail to harmonize physical laws...

Vehicle Re-identification (Re-ID) has become extremely important due to the increasing number of vehicles on the road and its potential to address traffic-related challenges. As a result, there is also a growing need for...