Mapping the use of cardiovascular genetic services in pediatric clinical care: challenges and opportunities for improvement.

Purpose: Clinical genetic testing is increasingly integrated in managing and diagnosing cardiac conditions and disease. It is important to identify ongoing challenges. This study aimed to better understand how genetic testing is integrated into pediatric cardiac care and identify barriers and opportunities for improvement.

Desvenlafaxine with mindfulness-based cognitive therapy reduces Hamilton anxiety scores compared to escitalopram with mindfulness-based cognitive therapy in treatment-resistant generalized anxiety disorder.

Background: This study aims to assess the effectiveness of low-dose Escitalopram (10 mg) or low-dose Desvenlafaxine (25 mg) combined with mindfulness-based cognitive therapy (MBCT) in addressing challenges in treating generalized anxiety disorder (GAD), particularly in patients resistant to conventional therapies.

Methods: A prospective cohort study was conducted with individuals diagnosed with treatment-resistant GAD. group A included patients unresponsive to citalopram, imipramine, paroxetine, and sertraline, who were then treated with low-dose Escitalopram (10 mg) combined with MBCT.

Phase-dependent electronic structure modulation of nickel selenides by Fe doping for enhanced bifunctional oxygen electrocatalysis.

Bifunctional oxygen electrocatalysis is a pivotal process that underpins a diverse array of sustainable energy technologies, including electrolyzers and fuel cells. Metal selenides have been identified as highly promising candidates for oxygen electrocatalysts with electronic structure engineering that lies at the heart of catalyst design. Two-phase Fe-doped nitrogen carbon (NC)-supported nickel selenides were synthesized using a coordination polymer template.

Energy yield framework to simulate thin film CIGS solar cells and analyze limitations of the technology.

This study presents a comprehensive evaluation of Copper Indium Gallium Selenide (CIGS) solar technology, benchmarked against crystalline silicon (c-Si) PERC PV technology. Utilizing a newly developed energy yield model, we analyzed the performance of CIGS in various environmental scenarios, emphasizing its behavior in low-light conditions and under different temperature regimes. The model demonstrated high accuracy with improved error metrics of normalized mean bias error (nMBE) ~ 1% and normalized root mean square error (nRMSE) of  ~ 8%-20% in simulating rack mounted setup and integrated PV systems.