Understanding the pattern of resistance in multi-drug resistant clinical isolates of Acinetobacter baumannii based on metabolomics approach.

Antimicrobial resistance (AMR) poses significant challenges to global public health. The major cause of AMR development is previous use of antibiotics, hospitalization, and the lack of efficient methods for screening AMR pathogens. Mass spectrometry techniques offer rapid, sensitive, and early detection of AMR both on proteomics and metabolomics levels.

Human organoids for rapid validation of gene variants linked to cochlear malformations.

Developmental anomalies of the hearing organ, the cochlea, are diagnosed in approximately one-fourth of individuals with congenital. The majority of patients with cochlear malformations remain etiologically undiagnosed due to insufficient knowledge about underlying genes or the inability to make conclusive interpretations of identified genetic variants. We used exome sequencing for the genetic evaluation of hearing loss associated with cochlear malformations in three probands from unrelated families deafness.

Influence of different temperatures and diets on the life cycle of invasive species .

Understanding the interactive effects of temperature and diet on insect life cycles is crucial for effective pest management. Here, the influence of different temperatures and diets on the life cycle of was investigated using the age-stage, two-sex life table analysis. The results support the hypothesis that temperature and diets (maize, apple, and artificial diet) significantly influence the entire life cycle performance of .

Catalytic-assisted remediation and phytotoxicity evaluations of organic pollutants in the presence of metal-doped BiO-based NPs catalyst.

The chemical co-precipitation method was used to synthesize a variety of pure BiO and substituted BiCoCdO NPs (x = 0.0-0.8) and doping influences were evaluated based on the optical, photocatalytic, morphological, and structural characteristics.

Finding potential inhibitors from phytochemicals against nucleoprotein of crimean congo fever virus using in silico approach.

The Crimean Congo virus has been reported to be a part of the spherical RNA-enveloped viruses from the Bunyaviridae family. Crimean Congo fever (CCHF) is a fatal disease with having fatality rate of up to 40%. It is declared endemic by the World Health Organization.

Extreme Phenotypic Variability of -Related Disorders in Hearing Loss.

Hearing loss is the most common sensory defect in humans, affecting normal communication. In most cases, hearing loss is a multifactorial disorder caused by both genetic and environmental factors, but single-gene mutations can lead to syndromic or non-syndromic hearing loss. Monoallelic variants in , coding for gamma (γ)-actin, are associated with classical Baraitser-Winter Syndrome type 2 (BRWS2, nonsyndromic deafness, and a variety of clinical presentations not fitting the original BRWS2 description or nonsyndromic deafness.

Development of a Tandem Mass Spectral Library for the Detection of Triterpenoids in Plant Metabolome Based on Reference Standards.

Plant triterpenoids represent a diverse group of secondary metabolites and are thought to be valuable for therapeutic applications. For drug development, lead optimization, better knowledge of biological pathways, and high-throughput detection of secondary metabolites in plant extracts are crucial. This paper describes a qualitative method for the rapid and accurate identification of various triterpenoids in plant extracts using the LC-HR-ESI-MS/MS tool in combination with the data-dependent acquisition (DD) approach.

Green Synthesis and Characterization of Silver Nanoparticles Using Extracts to Investigate Their Antibacterial Potential.

Background And Purpose: Antimicrobial resistance (AMR) has emerged as a significant global concern. To combat this growing threat, various strategies have been employed, including the use of plant extracts and the biosynthesis of nanoparticles (NPs). The current study was designed to evaluate the phytochemical analysis of ginger () extracts, characterize the silver nanoparticles (AgNPs) and to see their antibacterial potentials against multi-drug resistant (MDR) bacterial strains.

Using deep learning and word embeddings for predicting human agreeableness behavior.

The latest advancements of deep learning have resulted in a new era of natural language processing. The machines now possess an unparallel ability to interpret and engage with various tasks such as text classification, content generation and natural language understanding. This development extended to the analysis of human behavior, where deep learning models are used to decode human personality.

FUT3 promotes gastric cancer cell migration by synthesizing Lea on ITGA6 and GLG1, affecting adhesion and vesicle distribution.

Aims: Lewis antigen plays an important role in the progression of gastric cancer (GC), FUT3 is a key enzyme in the synthesis of Lewis antigen, but the molecular mechanism of its promotion of GC progression remains unclear.

Main Methods: We used Lea-antibody capturing coupled with mass spectrometry to identify the target proteins of FUT3, immunofluorescence (IF), molecular biology and cell function experiments were conducted to clarify the molecular mechanism of FUT3 promoting the migration and invasion of GC cells by regulating Lea glycosylation on ITGA6 and GLG1.

Key Findings: FUT3 promote migration and invasion of GC cells.

A Critical Analysis of "The Revival of Essay-Type Questions in Medical Education: Harnessing Artificial Intelligence and Machine Learning".

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Air stability of monolayer WSiN in dark and bright conditions.

Two-dimensional materials with chemical formula MAZ are a promising class of materials for optoelectronic applications. To exploit their potential, their stability with respect to air pollution has to be analyzed under different conditions. In a first-principle study based on density functional theory, we investigate the adsorption of three common environmental gas molecules (O, HO, and CO) on monolayer WSiN, an established representative of the MAZ family.

Analysis of fractionalized Brinkman flow in the presence of diffusion effect.

A vertical plate experiences a dynamic flow of fractionalized Brinkman fluid governed by fluctuating magnetic forces. This study considers heat absorption and diffusion-thermo effects. The novelty of model is the fractionalized Fourier's and Fick's laws.

Tolterodine Tartrate Loaded Cationic Elastic Liposomes for Transdermal Delivery: In Vitro, Ex Vivo, and In Vivo Evaluations.

Objective: Tolterodine tartrate (TOTA) is a first-line therapy to treat overactive urinary bladder (OAB). Oral delivery causes high hepatic clearance, xerostomia, headache, constipation, and blurred vision. We addressed Hansen solubility parameter (HSP) and Design Expert oriented optimized cationic elastic liposomes for transdermal application.

Strain-free MoS/ZrGeN van der Waals Heterostructure: Tunable Electronic Properties with Type-II Band Alignment.

Vertically stacked van der Waals heterostructures (vdW-HS) amplify the scope of 2D materials for emerging technological applications, such as nanodevices and solar cells. Here, we present a first-principles study on the formation energy and electronic properties of the heterobilayer (HBL) MoS/ZrGeN, which forms a strain-free vdW-HS thanks to the identical lattice parameters of its constituents. This system has an indirect band gap with type-II band alignment, with the highest occupied and lowest unoccupied states localized on MoS and ZrGeN, respectively.

Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms.

This study addresses the critical issue of anemia detection using machine learning (ML) techniques. Although a widespread blood disorder with significant health implications, anemia often remains undetected. This necessitates timely and efficient diagnostic methods, as traditional approaches that rely on manual assessment are time-consuming and subjective.

The Efficacy of Intra-articular Platelet-Rich Plasma Injection Versus Corticosteroid Injection in the Treatment of Knee Osteoarthritis: A Prospective Comparative Analysis.

Background Knee osteoarthritis (KOA) is the most typical cause of knee pain and impairment worldwide. It is typified by slow and progressive degeneration of the articular cartilage of the knee joint. Although KOA is being managed with a variety of therapies, the comparison of the effectiveness of different intra-articular injections in KOA treatment in Pakistan is still not thoroughly investigated.

Carbon reduction through renewable energy and digitalization in emerging economies: Moderating role of public debt.

Utilizing renewable energy (RE) and embracing the digital economy (DIG) can significantly contribute to achieving economic, energy, and climate goals by promoting carbon reduction. In this regard, public debt (DEB) is particularly important since it provides the funds required to achieve these goals by investing in renewable energy and digital economy projects. This study examines the impact of public debt on the link between renewable energy and carbon emissions (CE), as well as the association between the digital economy and carbon emissions in emerging economies from 2003 to 2022.