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The article analyses the symbolism on network visualizations with a focus on the so-called horizontal art history. It shows that this symbolism can obscure the proper application and assessment of network models. The hor...

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 Objective To evaluate the global productivity regarding original articles on maternal near-miss (MNM). Methods We conducted a bibliometric analysis of original articles published from 2008 to November 2019 in ...

Background Individuals with alcohol use disorder (AUD) often experience symptoms such as anxiety, depression, and decreased sleep quality. Although these are not diagnostic criteria, they may increase dependence risk and...

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...

Devices based on two-dimensional photonic-crystal nanocavities, which are defined by their air hole patterns, usually require a high quality (Q) factor to achieve high performance. We demonstrate that hole patterns with ...

Online demand prediction plays an important role in transport network services from operations, controls to management, and information provision. However, the online prediction models are impacted by streaming data qual...

Abstract Background In China, the informed consent for thrombolysis in patients with AIS tends to be primarily signed by proxy decision-makers, generally for the family members of patients. The decision-making process is...

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...

Recently, diversification of eating habits has been advancing in Japan. In such a situation, issues have been raised on the eating habits of younger generation, especially university students. The purpose of our study is...

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...

MISTIC (mutual information server to infer coevolution) is a web server for graphical representation of the information contained within a MSA (multiple sequence alignment) and a complete analysis tool for Mutual Informa...

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 There is no unified planning standard for unstructured roads, and the morphological structures of these roads are complex and varied. It is important to maintain a balance between accuracy and speed for unstruct...

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...

En este trabajo presentamos el desarrollo de un sistema automatizado para la calibración de anemómetros utilizando el túnel de viento del Servicio Meteorológico Nacional. El sistema incluye la adquisición de datos d...

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...