Epidemiological and Clinical Insights into : A Six-Year Study on Age, Antibiotics, and Specimens.

Background: This six-year retrospective study provides an in-depth analysis of the epidemiological and clinical patterns associated with () infections, focusing on age distribution, antibiotic resistance profiles, and specimen types.

Aim: The research examines the incidence and characteristics of non-Multi-Drug Resistant (non-MDR) and Multi-Drug Resistant (MDR) strains by reviewing patient records from January 2016 to December 2022.

Methods: Through a statistical analysis, the study highlights the incidence rates across diverse age groups and explores the impact of antibiotic treatment regimens on infection outcomes.

Bloodstream infections caused by Staphylococcus aureus in patients admitted to King Abdulaziz University Hospital, Jeddah, Saudi Arabia.

Objective: Currently, there is a limited amount of published data on the incidence of bloodstream infections (BSI) caused by both methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-susceptible Staphylococcus aureus (MSSA) in most parts of the Arabian Peninsula. Thus, it is extremely important to have information concerning the distribution and prevalence of MRSA and MSSA to better handle and manage future epidemics.  This study aimed to investigate the correlation between MRSA and/or MSSA with BSI at King Abdulaziz University Hospital (KAUH), Jeddah, Saudi Arabia.

An immuno-inflammatory profiling of asymptomatic individuals in a malaria endemic area in Uganda.

Malaria caused by Plasmodium falciparum leads to the destruction of red blood cells (RBCs). A better understanding of how naturally immune individuals control infections should be valuable for future vaccine studies. Antibodies against RBCs and RBC surface antigens were measured together with different inflammatory markers in healthy adults living in a malaria endemic area of Uganda and compared to Swedish healthy adults.

Unraveling the Metabolomics Mysteries in Camellia Oil: From Cognition to Application.

Camellia oil is a high-value edible seed oil, recommended by the Food and Agriculture Organization (FAO). It is essential to develop accurate and rapid analytical methods to authenticate camellia oil due to its susceptibility to adulteration. Recently, hyphenated chromatography-mass spectrometry, especially high-resolution mass spectrometry using chemometrics, has become a promising platform for the identification of camellia oil.

Wear Prediction of Functionally Graded Composites Using Machine Learning.

This study focuses on the production of functionally graded composites by utilizing magnesium matrix waste chips and cost-effective eggshell reinforcements through centrifugal casting. The wear behavior of the produced samples was thoroughly examined, considering a range of loads (5 N to 35 N), sliding speeds (0.5 m/s to 3.