Exploring the utilization of targeted intervention services by transgender individuals in Uttarakhand, India: a qualitative study.

Purpose: Transgender (TG) women face violence, discrimination, and stigma, which affect their mental health and hinder their access to targeted intervention (TI) services. This lack of access may increase the risk of human immunodeficiency virus/sexually transmitted infections (HIV/STIs). However, the utilization of TI services among transgender women in Uttarakhand, as well as across the country, remains understudied.

Telemedicine-Enabled Otoscopes as Catalysts for Accessible and Preventive Ear Health Care: Systematic Review and Meta-analysis.

Background: Maintaining optimal hearing health and preventing ear infections is crucial across all life stages, spanning from before birth and infancy to middle age and beyond. The primary aim of the research was to evaluate and compare the effectiveness of the telemedicine-enabled otoscope (TEO) in diagnosing ear diseases with that of the conventional otoscope.

Materials And Methods: The databases PubMed, Cochrane, and Embase were thoroughly searched to find original studies on TEO at the community as well as hospital levels along with meta-analysis for comparison with standard diagnostic methods using traditional otoscopes.

Correction: Psychological distress and burnout among healthcare worker during COVID-19 pandemic in India-A cross-sectional study.

[This corrects the article DOI: 10.1371/journal.pone.

Effect of Ni-Doping on the Optical, Structural, and Electrochemical Properties of Ag Nanoclusters.

Atomically precise metal nanoclusters (NCs) can be compositionally controlled at the single-atom level, but understanding structure-property correlations is required for tailoring specific optical properties. Here, the impact of Ni atom doping on the optical, structural, and electrochemical properties of atomically precise 1,3-benzene dithiol (BDT) protected Ag NCs is studied. The Ni-doped Ag (NiAg(BDT)) NCs, are synthesized using a co-reduction method and characterized using electrospray ionization mass spectrometry (ESI MS), ion mobility spectrometry (IMS), and X-ray photoelectron spectroscopy (XPS).

Diagnostic performance of artificial intelligence in detecting oral potentially malignant disorders and oral cancer using medical diagnostic imaging: a systematic review and meta-analysis.

Objective: Oral cancer is a widespread global health problem characterised by high mortality rates, wherein early detection is critical for better survival outcomes and quality of life. While visual examination is the primary method for detecting oral cancer, it may not be practical in remote areas. AI algorithms have shown some promise in detecting cancer from medical images, but their effectiveness in oral cancer detection remains Naïve.