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The formation of household savings is a key prerequisite for sustainable economic development and investment recovery in Ukraine. This article explores the role of credit unions as specific non-banking financial institut...

Abstract Smart Contract (SC) vulnerabilities are programming errors or design flaws that can lead to financial loss or functional failure, making accurate detection essential. Although Machine Learning (ML) is widely app...

Online advertising platforms commonly employ Cost-Per-Click (CPC) and Cost-Per-Thousand-Impressions (CPM) models to determine advertiser fees based on user engagement and exposure metrics. While these pricing arrangement...

Abstract Background The European Reference Network for rare Inherited and Congenital Anomalies (ERNICA) aims to improve care for patients with rare and complex digestive and gastrointestinal diseases across Europe throug...

3D printing is transforming soft robotics by enabling complex geometries, rapid iteration, and cofabrication of structure, actuation, and sensing. Central to this progress are functional materials that provide stretchabl...

Background Identifying priority projects in industry–education integration is critical for optimizing policy support and resource allocation. While prior studies have primarily relied on qualitative assessments, there ...

Abstract We present MIMIC-III-Ext-PPG, a large-scale, quality-assessed photoplethysmography (PPG) dataset derived from the matched waveform subset of MIMIC-III. Our dataset provides 30-second PPG segments with annotation...

BackgroundIntegrated single-cell morpho-molecular analysis is vital for precision pathology, yet accurate nuclear instance segmentation from standard histopathology images remains challenging due to staining variability ...

Ovitraps are a widely used method for mosquito detection and monitoring, especially Aedes mosquitoes. Eggs present in ovitraps must be routinely counted to generate up-to-date information on potential spread of mosquito-...

Safe operations are essential for organizational success, perhaps no more so than in aviation. A culture of safety can be a leading contributor to an aviation organization’s success but developing such a culture and ma...

The governance of protected areas plays a key role in preserving biodiversity and fostering sustainable development, particularly through nature-based tourism. This paper introduces the Robustness Supply Tourism Index (R...

Recent advances in protein structure prediction, such as AlphaFold, have demonstrated the power of deep neural architectures like the Evoformer for capturing complex spatial and evolutionary constraints on protein confor...

Abstract This study reports a new method of analysis to measure the surface tension of high melt-temperature liquid metals using levitation in microgravity. The method, which leads to a self-consistent benchmarking techn...

Federated Learning (FL) has emerged as a privacy-preserving distributed learning paradigm that enables collaborative model training without sharing raw data. Despite its advantages, ensuring trustworthy FL deployment rem...

Goal. Coverage of introduction of innovative concepts in the system of management of activity of sanatorium and resort enterprises. Research methodology. The following methods were used: analysis (theoretical review of s...

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...

Spelt husk material is a novel packaging solution intended for equal applications as packaging made of expanded polystyrene (EPS). In the future, husk packaging could therefore at least partially substitute plastics in t...

Abstract Graph neural networks (GNNs) are widely used as surrogates for costly experiments and first-principles simulations to study the behavior of compounds at atomistic scale, and their architectural complexity is con...

The clustering of small molecules implies the organization of a group of chemical structures into smaller subgroups with similar features. Clustering has important applications to sample chemical datasets or libraries in...

MOTIVATION: Genomics has revolutionized biological research, but quality assessment of the resulting assembled sequences is complicated and remains mostly limited to technical measures like N50. RESULTS: We propose a mea...

Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains ...

BACKGROUND: Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 est...