Disentangling Sources of Momentum Fluctuations in Xe+Xe and Pb+Pb Collisions with the ATLAS Detector.

High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

Recovery time and predictors of severe acute malnutrition in children aged 6-59 months via an outpatient therapeutic program in Borena zone: A prospective cohort study.

Background: Severe acute malnutrition (SAM) is a severe condition causing bilateral pitting edema or signs of wasting in children, with a high mortality risk. An outpatient therapeutic program is recommended for managing SAM children without complications, but there is limited information on recovery time and its determinants.

Objective: This study aims to assess the time to recovery and its predictors among children aged 6-59 months with SAM admitted to the Outpatient therapeutic program in the Borena zone, Oromia region, Southern Ethiopia in 2023.

Basic Science and Pathogenesis.

Background: Dementia exhibits abnormal network activity, including altered gamma frequency (30-100 Hz) in Alzheimer's disease (AD). A non-pharmacological, non-invasive approach to AD treatment involves stimulating sensory inputs using gamma band, with 40 Hz as the most effective in eliciting a robust EEG response. Light and sound stimulation at 40 Hz reduces AD pathology in mouse models and improves cognition in humans with AD.

Pharmacological Profiling of and : Unraveling the Antibacterial and Anti-Cancer Potential of Chemically Active Metabolites.

The increasing prevalence of cancer and bacterial resistance necessitates more effective anti-cancer and anti-bacterial treatments. This study explores the potential of medicinal plants, specifically () and (), in addressing this need, aiming to uncover new therapeutic interventions. Various extraction methods for the leaves of and were employed to investigate the anti-bacterial and anti-cancer properties of these herbs.

Designing multi-epitope vaccines against Echinococcus granulosus: an in-silico study using immuno-informatics.

Cystic echinococcosis (CE) is a worldwide zoonotic public health issue. The reasons for this include a lack of specific therapy options, increasing antiparasitic drug resistance, a lack of control strategies, and the absence of an approved vaccine. The aim of the current study is to develop a multiepitope vaccine against CE by in-silico identification and using different Antigen B subunits.