An annotated morphological dataset for Uzbek word forms: Towards rule-based and machine learning approaches.

This research paper presents a morphologically annotated dataset for the Uzbek language, specifically designed for morphological analysis algorithms. The dataset contains 3022 manually annotated word forms, each annotated with root, affix, and part-of-speech information. Two morphological analysis approaches were implemented and compared: a user-defined rule-based stemming algorithm and a conditional random fields (CRF)-based machine learning model.

From cell cycle control to cancer therapy: exploring the role of CDK1 and CDK2 in tumorigenesis.

The cyclin-dependent kinase (CDK) family comprises one of the most common types of serine/threonine kinases responsible for controlling many cellular processes through the action of the dynamics of these enzymes. The CDKs are regulators of cellular processes, ranging from cell cycle progression, an integral step of cellular lifespan involved in its division and growth, to the expression of genes and the transfer of genetic information from DNA to RNA. CDK-related pathology is primarily based on the dysregulation of CDK, resulting in improper coordination of the cell cycle and leading to uncontrolled proliferation.

Single-atom silver-borophene hybrid hydrogels for electrically stimulated wound healing: a multifunctional antibacterial platform.

Chronic wound healing demands next-generation biomaterials that includes antibacterial properties, electrical responsiveness, and tissue-regenerative capabilities. This study presents a multifunctional hydrogel that incorporates single-atom silver (Ag-SA) and two-dimensional borophene nanosheets (BNSs) within a PVA/chitosan matrix (PCAB). The atomically dispersed Ag sites exhibit highly localized bactericidal activity at a silver amount 50 times lower than those in traditional AgNP systems, thus reducing cytotoxicity and hemolysis to less than 5%.

Unraveling the global landscape of Elizabethkingia antibiotic resistance: A systematic review and meta-analysis.

Background: The emergence of antibiotic-resistant Elizabethkingia strains poses a significant challenge in clinical settings. This systematic review and meta-analysis provide a comprehensive assessment of the prevalence of antibiotic resistance among Elizabethkingia isolates across different regions worldwide.

Methods: A systematic literature search was conducted across PubMed, Embase, Web of Science, and Scopus from 1998 to January 9, 2024, using predefined search strategies.

Optimized Lightweight Architecture for Coronary Artery Disease Classification in Medical Imaging.

: The early and accurate detection of Coronary Artery Disease (CAD) is crucial for preventing life-threatening complications, particularly among athletes engaged in high-intensity endurance sports. This demographic faces unique cardiovascular risks, as prolonged and intense physical exertion can exacerbate underlying CAD conditions. Studies indicate that while athletes typically exhibit enhanced cardiovascular health, this demographic is not immune to Coronary Artery Disease (CAD) risks.