Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model.

Power transformers play a crucial role in enabling the integration of renewable energy sources and improving the overall efficiency and reliability of smart grid systems. They facilitate the conversion, transmission, and distribution of power from various sources and help to balance the load between different parts of the grid. The Transformer Health Index (THI) is one of the most important indicators of ensuring their reliability and preventing unplanned outages.

Application of green silver nano-particles as anti-bacterial and photo-catalytic degradation of azo dye in wastewater.

Ensuring everyone enjoys healthy lifestyles and well-being at all ages, Progress has been made in increasing access to clean water and sanitation facilities and reducing the spread of epidemics and diseases. The synthesis of nano-particles (NPs) by using microalgae is a new nanobiotechnology due to the use of the biomolecular (corona) of microalgae as a capping and reducing agent for NP creation. This investigation explores the capacity of a distinct indigenous microalgal strain to synthesize silver nano-particles (AgNPs), as well as its effectiveness against multi-drug resistant (MDR) bacteria and its ability to degrade Azo dye (Methyl Red) in wastewater.

Screening factors affecting proper levothyroxine therapy among patients with primary hypothyroidism: a cross-sectional study.

Primary hypothyroidism, the most common form of hypothyroidism, requires effective patient understanding and management for successful long-term treatment. This study aimed to investigate the influence of patient knowledge, attitude, practice (KAP), depression, and medication adherence on treatment response in primary hypothyroidism. A cross-sectional observational study was conducted at Al Hassan Metabolism, Endocrine, and Diabetes Center (HMEDC) in Iraq between September 2022 and March 2023.

An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models.

Emergency medicine (EM) is one of the attractive research fields in which researchers investigate their efforts to diagnose and treat unforeseen illnesses or injuries. There are many tests and observations are involved in EM. Detection of the level of consciousness is one of these observations, which can be detected using several methods.

Impact of letrozole versus clomiphene citrate on endometrial receptivity in Iraqi women with polycystic ovarian syndrome.

What Is Known And Objectives: Letrozole is widely known for its use as an ovulation inductor. This study aims to investigate the effects of letrozole and clomiphene citrate in females with polycystic ovarian syndrome.

Methods: This is a randomized non-blinded controlled trial study that included 80 infertile females with polycystic ovarian syndrome receiving a standard dose of either clomiphene citrate or letrozole on day 2 of the cycle.