Influence of elevated temperature exposure on the residual compressive strength and radiation shielding efficiency of ordinary concrete incorporating granodiorite and ceramic powders.

This research investigates the potential of utilizing types of construction waste as partial cement replacements within concrete formulations. Notably, granodiorite and ceramic powders were introduced at varying substitution ratios. The impact of these waste materials on the compressive strength and radiation shielding effectiveness of traditional concrete was evaluated under both ambient and elevated temperature conditions.

External validation and performance analysis of a deep learning-based model for the detection of intracranial hemorrhage.

Purpose: We aimed to investigate the external validation and performance of an FDA-approved deep learning model in labeling intracranial hemorrhage (ICH) cases on a real-world heterogeneous clinical dataset. Furthermore, we delved deeper into evaluating how patients' risk factors influenced the model's performance and gathered feedback on satisfaction from radiologists of varying ranks.

Methods: This prospective IRB approved study included 5600 non-contrast CT scans of the head in various clinical settings, that is, emergency, inpatient, and outpatient units.

Compressive strength of nano concrete materials under elevated temperatures using machine learning.

In this study, four Artificial intelligence (AI) - based machine learning models were developed to estimate the Residual compressive strength (RCS) value of concrete supported with nano additives of Nanocarbon tubes (NCTs) and Nano alumina (NAl), after exposure to elevated temperatures ranging from 200 to 800 degrees. These models were developed via adapting meta- heuristic models including the Water cycle algorithm (WCA), Genetic algorithm (GA), and classical AI models of Artificial neural networks (ANNs), Fuzzy logic models (FLM), in addition to the statistical method of Multiple linear regression (MLR). 156 post heating experimental results available as a literature data (represents four input parameters of temperature change, heat exposure duration, nanomaterial type, and replacement proportion) are used to achieve the study's objective.

Implementation research on measuring quality in primary care: balancing national needs with learning from the Eastern Mediterranean Region.

Background: Universal Health Coverage (UHC) is a core element of ensuring healthy lives, marking the third Sustainable Development Goal. It requires providing quality primary health-care (PHC) services. Assessment of quality of care considering a wide variety of contexts is a challenge.

Resveratrol Supplementation in Patients with Non-Alcoholic Fatty Liver Disease: Systematic Review and Meta-analysis.

Background: Resveratrol is a potential treatment option for management of non-alcoholic fatty liver disease (NAFLD) due to its anti-inflammatory, antioxidant properties, and calorie restriction-like effects. We aimed to synthesise evidence from published randomized clinical trials (RCTs) about the efficacy of resveratrol in the management of NAFLD.

Methods: A computer literature search of PubMed, Scopus, Web of Science, and Cochrane Central was conducted using relevant keywords.