CoS/CoTe n-n Type Heterojunction: A Heterogenic Interfacial Integration of CoS and CoTe Phases for Energy-Efficient Hydrazine Oxidation Assisted Hydrogen Production.

Controlled and optimized heterogenic interfacial coupling is the key to enhance the electrochemical performance. Herein, for the first time, telluride-based CoS/CoTe heterostructure is reported as a bifunctional catalyst for energy-efficient H generation. Detailed investigations suggest that the heterogenic interfacial coupling leads to superior bifunctional electrochemical performance of the CoS/CoTe heterostructure.

Synergistic effects of plastic debris and elevated nitrate concentrations on the proliferation of Ulva lactuca micro-propagules.

Ulva lactuca is a versatile intertidal and blooming green macroalga with a global distribution, undergoing a lifecycle that consists of critical phases. The effects of surface physical properties and elevated nitrate concentrations on the growth of Ulva spores were evaluated using ATR-FTIR analysis, water contact angle measurements and fluorescence microscopy. The weathering process conducted with seawater led to the emergence of new functional groups such as CO, CH (rock), and CH, alongside a reduction in existing groups on the polymers, as evidenced by ATR-FTIR.

Rasch analysis of quality of life in children with vernal keratoconjunctivitis (QUICK) questionnaire.

Clinical Relevance: A validated questionnaire measures the construct accurately, helps clinician to support decision making, facilitates assessment and monitoring of patients, guides clinical trial and promotes patient-centred care.

Background: To assess the psychometric properties of the Quality of Life in Children with Vernal Keratoconjunctivitis (QUICK) questionnaire among Indian children with Vernal Keratoconjuntivitis (VKC) using Rasch analysis.

Methods: This study used a questionnaire validation study design.

Making the most of big qualitative datasets: a living systematic review of analysis methods.

Introduction: Qualitative data provides deep insights into an individual's behaviors and beliefs, and the contextual factors that may shape these. Big qualitative data analysis is an emerging field that aims to identify trends and patterns in large qualitative datasets. The purpose of this review was to identify the methods used to analyse large bodies of qualitative data, their cited strengths and limitations and comparisons between manual and digital analysis approaches.

Effectiveness of WhatsApp based debunking reminders on follow-up visit attendance for individuals with hypertension: a randomized controlled trial in India.

Background: Individuals with high blood pressure in India often miss essential follow-up visits. Missed visits contribute to gaps across the hypertension care continuum and preventable cardiovascular disease. Widespread misconceptions around hypertension care and treatment may contribute to low follow-up attendance rates, but to date, there is limited evidence of the effect of interventions to debunk such misconceptions on health-seeking behavior.