Exploring risk factors and antimicrobial susceptibility patterns associated with bacteriuria among Syrian refugees in makeshift camps.

Background: The health and well-being of refugees are critically compromised by harsh living conditions, which foster the emergence of infectious diseases and the misuse of antimicrobial agents. This multicentre cross-sectional community-based study investigated the prevalence of urine carriage of bacteria and the associated antimicrobial resistance patterns among Syrian refugees living in makeshift camps in Lebanon, an East Mediterranean country.

Methods: We used multivariable logistic regression models to identify the risk factors associated with bacteriuria in this vulnerable population.

Ramadan fasting in adolescents with epilepsy: Seizure control and behavioral outcome.

Data about the effect of Ramadan fasting on seizure control among adolescents with epilepsy (AWE) is scarce. Several psycho-behavioral problems have also been encountered in this teenage group. This study aimed to assess seizure frequency and behavioral outcomes after Ramadan fasting in a sample of AWE METHODS: In this prospective study, AWE who completed fasting during Ramadan 2024 were evaluated regarding the seizure frequency of each type during Shaban (the month immediately preceding Ramadan) and Ramadan.

Development of the Pneumococcal Genome Library, a core genome multilocus sequence typing scheme, and a taxonomic life identification number barcoding system to investigate and define pneumococcal population structure.

Investigating the genomic epidemiology of major bacterial pathogens is integral to understanding transmission, evolution, colonization, disease, antimicrobial resistance and vaccine impact. Furthermore, the recent accumulation of large numbers of whole genome sequences for many bacterial species enhances the development of robust genome-wide typing schemes to define the overall bacterial population structure and lineages within it. Using the previously published data, we developed the Pneumococcal Genome Library (PGL), a curated dataset of 30 976 genomes and contextual data for carriage and disease pneumococci recovered between 1916 and 2018 in 82 countries.

Neonatal sepsis due to NDM-1 and VIM-2 co-producing Pseudomonas aeruginosa in Morocco.

Background: Carbapenem-resistant Pseudomonas aeruginosa are being increasingly described worldwide. Here, we investigated the molecular mechanisms underlying carbapenem resistance in an extremely drug-resistant P. aeruginosa isolate from a neonatal intensive care unit in Morocco.

Draft genome sequences of antibiotic-resistant and species isolated from imported fresh produce in Georgia, USA.

Imported foods play an essential role in food security and in fulfilling consumer demand. However, these foods can also carry antibiotic-resistant bacteria, which might be introduced into the country of importation. Here, we report the draft genomes of antibiotic-resistant bacteria that were isolated from imported fresh produce in Georgia, USA.

A special role for anterior cingulate cortex, but not orbitofrontal cortex or basolateral amygdala, in choices involving information.

Subjects are often willing to pay a cost for information. In a procedure that promotes paradoxical choices, animals choose between a richer option followed by a cue that is rewarded 50% of the time (No Info) vs. a leaner option followed by one of two cues that signal certain outcomes: one always rewarded (100%) and the other never rewarded, 0% (Info).

Effect of high frequency repetitive transcranial magnetic stimulation (rTMS) on the balance and the white matter integrity in patients with relapsing-remitting multiple sclerosis: A long-term follow-up study.

Objectives: Repetitive Transcranial Magnetic Stimulation (rTMS) is considered as a safe and non-invasive developing technique used as a therapeutic method for patients with Relapsing-Remitting Multiple Sclerosis (RRMS) who suffer from disturbances in gait and balance. The aim of our study is to evaluate the long-term effect of high frequency rTMS as a therapeutic option for truncal ataxia in RRMS patients and to assess its impact on the integrity of the white matter (WMI), measured in the form of anisotropy metrics using diffusion tensor imaging (DTI).

Methods: The study was conducted in two phases: phase I; a randomized, single-blind, sham-controlled phase and phase II was a 12 months longitudinal open-label prospective phase.

Genomic analysis of isolates from Lebanon reveals marked genetic diversity and antimicrobial resistance.

In this study, we characterized 54 clinical isolates of collected in North Lebanon between 2009 and 2017 through phenotypic and genomic analyses. The most prevalent serogroup was accounting for 46.3 % (25/54) of the isolates, followed by (27.

Correlation transfer function analysis as a biomarker for Alzheimer brain plasticity using longitudinal resting-state fMRI data.

Neural plasticity is the ability of the brain to alter itself functionally and structurally as a result of its experience. However, longitudinal changes in functional connectivity of the brain are still unrevealed in Alzheimer's disease (AD). This study aims to discover the significant connections (SCs) between brain regions for AD stages longitudinally using correlation transfer function (CorrTF) as a new biomarker for the disease progression.

Hierarchical based classification method based on fusion of Gaussian map descriptors for Alzheimer diagnosis using T-weighted magnetic resonance imaging.

Alzheimer's disease (AD) is considered one of the most spouting elderly diseases. In 2015, AD is reported the US's sixth cause of death. Substantially, non-invasive imaging is widely employed to provide biomarkers supporting AD screening, diagnosis, and progression.

A special role for anterior cingulate cortex, but not orbitofrontal cortex or basolateral amygdala, in choices involving information.

Subjects often are willing to pay a cost for information. In a procedure that promotes paradoxical choices, animals choose between a richer option followed by a cue that is rewarded 50% of the time (No-info) a leaner option followed by one of two cues that signal certain outcomes: one always rewarded (100%), and the other never rewarded, 0% (Info). Since decisions involve comparing the subjective value of options after integrating all their features, preference for information may rely on cortico-amygdalar circuitry.

Granulomatous and Sarcoid-like Immune-Related Adverse Events following CTLA4 and PD1 Blockade Adjuvant Therapy of Melanoma: A Combined Analysis of ECOG-ACRIN E1609 and SWOG S1404 Phase III Trials and a Literature Review.

Background: Treatment with immune checkpoint inhibitors (ICIs) has been linked to granulomatous and sarcoid-like lesions (GSLs) affecting different organs. This study sought to evaluate GSL incidence in patients with high-risk melanoma treated with cytotoxic T-lymphocyte antigen 4 (CTLA4) or programmed cell death 1 (PD1) blockade adjuvant therapy in two clinical trials: ECOG-ACRIN E1609 and SWOG S1404. Descriptions and GSL severity ratings were recorded.

ShigaPass: an tool predicting serotypes from whole-genome sequencing assemblies.

is one of the commonest causes of diarrhoea worldwide and a major public health problem. serotyping is based on a standardized scheme that splits strains into four serogroups and 60 serotypes on the basis of biochemical tests and O-antigen structures. This conventional serotyping method is laborious, time-consuming, impossible to automate, and requires a high level of expertise.

Rapid emergence of extensively drug-resistant Shigella sonnei in France.

Shigella sonnei, the main cause of bacillary dysentery in high-income countries, has become increasingly resistant to antibiotics. We monitored the antimicrobial susceptibility of 7121 S. sonnei isolates collected in France between 2005 and 2021.

Feature and decision-level fusion for schizophrenia detection based on resting-state fMRI data.

Mental disorders, especially schizophrenia, still pose a great challenge for diagnosis in early stages. Recently, computer-aided diagnosis techniques based on resting-state functional magnetic resonance imaging (Rs-fMRI) have been developed to tackle this challenge. In this work, we investigate different decision-level and feature-level fusion schemes for discriminating between schizophrenic and normal subjects.

Alzheimer disease stages identification based on correlation transfer function system using resting-state functional magnetic resonance imaging.

Alzheimer's disease (AD) affects the quality of life as it causes; memory loss, difficulty in thinking, learning, and performing familiar tasks. Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely used to investigate and analyze different brain regions for AD identification. This study investigates the effectiveness of using correlated transfer function (CorrTF) as a new biomarker to extract the essential features from rs-fMRI, along with support vector machine (SVM) ordered hierarchically, in order to distinguish between the different AD stages.

Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing.

The laboratory surveillance of bacillary dysentery is based on a standardised Shigella typing scheme that classifies Shigella strains into four serogroups and more than 50 serotypes on the basis of biochemical tests and lipopolysaccharide O-antigen serotyping. Real-time genomic surveillance of Shigella infections has been implemented in several countries, but without the use of a standardised typing scheme. Here, we study over 4000 reference strains and clinical isolates of Shigella, covering all serotypes, with both the current serotyping scheme and the standardised EnteroBase core-genome multilocus sequence typing scheme (cgMLST).

Neurological Soft Signs in Non-diabetic End Stage Renal Disease Patients: Evaluation and Prediction.

Patients on hemodialysis suffer from several serious complex neurological complications resulting in significant disability. Early detection of these complications during the asymptomatic phase may consent to early intervention to prevent or minimize the disability. To assess and predict neurological soft signs (NSS) in non-diabetic end-stage renal disease (ESRD) patients on hemodialysis (HD) who do not suffer any apparent neurological symptoms.

Native-resolution myocardial principal Eulerian strain mapping using convolutional neural networks and Tagged Magnetic Resonance Imaging.

Background: Assessment of regional myocardial function at native pixel-level resolution can play a crucial role in recognizing the early signs of the decline in regional myocardial function. Extensive data processing in existing techniques limits the effective resolution and accuracy of the generated strain maps. The purpose of this study is to compute myocardial principal strain maps ε and ε from tagged MRI (tMRI) at the native image resolution using deep-learning local patch convolutional neural network (CNN) models (DeepStrain).

Silent neurological lesions detected by magnetic resonance imaging: Relationship to hyperparathyroidism among end-stage renal disease young patients on haemodialysis.

Background: End-stage renal disease (ESRD) patients on haemodialysis (HD) suffer from several peripheral and central neurological complications. They are at high risk for developing silent neurological lesions (SNL) that may be detected accidentally by magnetic resonance imaging (MRI). Many factors are implicated in the development of neurological deficits in ESRD patients on HD.

Alzheimer's disease diagnosis from diffusion tensor images using convolutional neural networks.

Machine learning algorithms are currently being implemented in an escalating manner to classify and/or predict the onset of some neurodegenerative diseases; including Alzheimer's Disease (AD); this could be attributed to the fact of the abundance of data and powerful computers. The objective of this work was to deliver a robust classification system for AD and Mild Cognitive Impairment (MCI) against healthy controls (HC) in a low-cost network in terms of shallow architecture and processing. In this study, the dataset included was downloaded from the Alzheimer's disease neuroimaging initiative (ADNI).