Driver identification in advanced transportation systems using osprey and salp swarm optimized random forest model.

Enhancement of security, personalization, and safety in advanced transportation systems depends on driver identification. In this context, this work suggests a new method to find drivers by means of a Random Forest model optimized using the osprey optimization algorithm (OOA) for feature selection and the salp swarm optimization (SSO) for hyperparameter tuning based on driving behavior. The proposed model achieves an accuracy of 92%, a precision of 91%, a recall of 93%, and an F1-score of 92%, significantly outperforming traditional machine learning models such as XGBoost, CatBoost, and Support Vector Machines.

Effectiveness of ChatGPT in facilitating learning for students with special educational needs: An empirical study in Saudi Arabia.

Study Purpose: This paper aims to explore the effectiveness of ChatGPT in facilitating learning for medical students with special educational needs (SEN) while acknowledging and addressing the challenges that SEN students may encounter in utilizing this technology.

Methods: This cross-sectional survey study assessed ChatGPT's efficacy in supporting medical students with SEN across three Saudi Arabian universities. Utilizing purposive and convenience sampling, a questionnaire was administered to 283 SEN students.

Energy-Efficient and Trust-Based Autonomous Underwater Vehicle Scheme for 6G-Enabled Internet of Underwater Things.

This paper introduces a novel energy-efficient lightweight, void hole avoidance, localization, and trust-based scheme, termed as Energy-Efficient and Trust-based Autonomous Underwater Vehicle (EETAUV) protocol designed for 6G-enabled underwater acoustic sensor networks (UASNs). The proposed scheme addresses key challenges in UASNs, such as energy consumption, network stability, and data security. It integrates a trust management framework that enhances communication security through node identification and verification mechanisms utilizing normal and phantom nodes.

Synthetic approaches for novel fused pyrimidine derivatives: Design, structural characterization, antiviral, antitumor, and molecular docking evaluation.

The goal of this work was to synthesize new compounds for anticancer evaluation as a trial to obtain new antitumor agents with higher activity and fewer side effects. Therefore, the precursor 2,2'-(1,4-phenylenebis (thiazole-4,2-diyl))bis (3-(dimethylamino)acrylonitrile) was used to synthesize various azolopyrimidine derivatives connected to the thiazole moiety. Compounds -, including pyrazolopyrimidine, triazolopyrimidine, and others, were produced by reacting enaminonitrile with different -nucleophiles.

Advance drought prediction through rainfall forecasting with hybrid deep learning model.

Drought is a natural disaster that can affect a larger area over time. Damage caused by the drought can only be reduced through its accurate prediction. In this context, we proposed a hybrid stacked model for rainfall prediction, which is crucial for effective drought forecasting and management.

Echocardiographic Evaluation of Chronic Aortic Regurgitation: Comparison With Cardiac Magnetic Resonance and Implications for Guideline Recommendations.

Background: Guidelines for echocardiographic evaluation of aortic regurgitation (AR) have not been validated against an independent quantitative standard.

Objectives: The aim of this study was to evaluate the accuracy of the ASE (American Society of Echocardiography) AR guidelines against cardiac magnetic resonance (CMR) and to develop simplified approaches for detection of significant AR.

Methods: Patients with AR underwent echocardiography and CMR <4 hours apart.

Synthesis of designed new 1,3,4-oxadiazole functionalized pyrano [2,3-f] chromene derivatives and their antimicrobial activities.

Diethyl 2-(((4-methyl-2-oxo-2H-chromen-7-yl)oxy)methylene)malonate was synthesized from coumarin 1 and diethyl ethoxymethylene malonate in ethanol, followed by cyclization in diphenyl ether to give chromene-9-carboxylate . Sugar hydrazones were formed by reacting hydrazide with D-galactose, D-mannose, and D-xylose, then acetylated to per--acetyl derivatives . Heating with acetic anhydride at 100 °C gave oxadiazolines .

Carbon quantum dots composite for enhanced selective detection of dopamine with organic electrochemical transistors.

A compact organic electrochemical transistors (OECT) sensor enriched with carbon quantum dots (CQDs) was developed to enhance the transconductance of an electropolymerized poly(3,4-ethylenedioxythiophene) (PEDOT) film, enabling the precise and selective detection of dopamine (DA). Accurate monitoring of DA levels is critical for diagnosing and managing related conditions. Incorporating CQDs, we have achieved a remarkable up to threefold increase in current at the DA detection peak in differential pulse voltammetry.

Identification of isoquinolinone DHODH inhibitor isosteres.

DHODH inhibition represents an attractive approach to overcome differentiation blockade for the treatment of AML. In a previous communication, we described our efforts leading to the discovery of compound 3 (JNJ-74856665), an orally bioavailable, potent, and selective DHODH inhibitor for clinical development. Guided by the co-crystal structures bound to human DHODH, other fused six-membered constructs were explored as isosteric replacements of the isoquinolinone central core.

Machine learning, network pharmacology, and molecular dynamics reveal potent cyclopeptide inhibitors against dengue virus proteins.

The dengue virus is a major global health hazard responsible for an estimated 390 million diseases yearly. This study focused on identifying cyclopeptide inhibitors for envelope structural proteins E, NS1, NS3, and NS5. Additionally, 5579 cyclopeptides were individually screened against the four target proteins using a machine learning-based quantitative structure-activity relationship model.

Remote Assessment of Eczema Severity via AI-powered Skin Image Analytics: A Systematic Review.

Various studies have been published on the remote assessment of eczema severity from digital camera images. Successful deployment of an accurate and robust AI-powered tool for such purposes can aid the formulation of eczema treatment plans and assist in patient monitoring. This review aims to provide an overview of the quality of published studies on this topic and to identify challenges and suggestions to improve the robustness and reliability of existing tools.

Effectiveness of ChatGPT in remote learning environments: An empirical study with medical students in Saudi Arabia.

This study aims to assess the effectiveness of ChatGPT in remote learning among medical students. This cross-sectional survey study recruited 386 medical students from three public universities in Saudi Arabia. Participants completed an online questionnaire designed to assess perceptions of ChatGPT's effectiveness in remote learning.

Enhancing medical students critical thinking skills through ChatGPT: An empirical study with medical students.

Study Purpose: This study aims to assess the effectiveness of ChatGPT in critical thinking skills among medical students.

Methods: This cross-sectional survey study recruited 392 medical students from three public universities in Saudi Arabia. Participants completed an online questionnaire assessing perceptions of ChatGPT's impact on critical thinking skills.

SETDB1 suppresses NK cell-mediated immunosurveillance in acute myeloid leukemia with granulo-monocytic differentiation.

Monocytic acute myeloid leukemia (AML) responds poorly to current treatments, including venetoclax-based therapy. We conducted in vivo and in vitro CRISPR-Cas9 library screenings using a mouse monocytic AML model and identified SETDB1 and its binding partners (ATF7IP and TRIM33) as crucial tumor promoters in vivo. The growth-inhibitory effect of Setdb1 depletion in vivo is dependent mainly on natural killer (NK) cell-mediated cytotoxicity.

Assessment of groundwater quality in arid regions utilizing principal component analysis, GIS, and machine learning techniques.

Assessing water quality in arid regions is vital due to scarce resources, impacting health and sustainable management.This study examines groundwater quality in Assuit Governorate, Egypt, using Principal Component Analysis, GIS, and Machine Learning Techniques. Data from 217 wells across 12 parameters were analyzed, including TDS, EC, Cl, Fe, Ca, Mg, Na, SO, Mn, HCO, K, and pH.

Preclinical efficacy of the potent, selective menin-KMT2A inhibitor JNJ-75276617 (bleximenib) in KMT2A- and NPM1-altered leukemias.

The interaction between menin and histone-lysine N-methyltransferase 2A (KMT2A) is a critical dependency for KMT2A- or nucleophosmin 1 (NPM1)-altered leukemias and an emerging opportunity for therapeutic development. JNJ-75276617 (bleximenib) is a novel, orally bioavailable, potent, and selective protein-protein interaction inhibitor of the binding between menin and KMT2A. In KMT2A-rearranged (KMT2A-r) and NPM1-mutant (NPM1c) acute myeloid leukemia (AML) cells, JNJ-75276617 inhibited the association of the menin-KMT2A complex with chromatin at target gene promoters, resulting in reduced expression of several menin-KMT2A target genes, including MEIS1 and FLT3.

Discovery of JNJ-74856665: A Novel Isoquinolinone DHODH Inhibitor for the Treatment of AML.

Acute myelogenous leukemia (AML), a heterogeneous disease of the blood and bone marrow, is characterized by the inability of myeloblasts to differentiate into mature cell types. Dihydroorotate dehydrogenase (DHODH) is an enzyme well-known in the pyrimidine biosynthesis pathway and preclinical findings demonstrated that DHODH is a metabolic vulnerability in AML as inhibitors can induce differentiation across multiple AML subtypes. As a result of virtual screening and structure-based drug design approaches, a novel series of isoquinolinone DHODH inhibitors was identified.

Role of melatonin in carcinogenesis and metastasis: From mechanistic insights to intermeshed networks of noncoding RNAs.

In recent years, seminal studies have been devoted to unraveling the puzzling mysteries associated with the cancer preventive/inhibitory role of melatonin. Our current knowledge of the translational mechanisms and the detailed structural insights have highlighted the characteristically exclusive role of melatonin in the inhibition of carcinogenesis and metastatic dissemination. This mini-review outlines recent discoveries related to mechanistic role of melatonin in prevention of carcinogenesis and metastasis.

Mechanistic role of pyroptosis in tumor microenvironment and tumor immunotherapy.

In recent decades, extraordinary attention has been devoted to cell death pathways principally because of multifaceted regulatory roles in normal developmental and pathophysiological processes. The removal of functionally defective, infected or potentially malignant cells is regulated by programmed cell death (PCD) cascades.  Pyroptotic cell death is a highly complicated pro-inflammatory form of cell death.

Discovery of Alternative Binding Poses through Fragment-Based Identification of DHODH Inhibitors.

Dihydroorotate dehydrogenase (DHODH) is a mitochondrial enzyme that affects many aspects essential to cell proliferation and survival. Recently, DHODH has been identified as a potential target for acute myeloid leukemia therapy. Herein, we describe the identification of potent DHODH inhibitors through a scaffold hopping approach emanating from a fragment screen followed by structure-based drug design to further improve the overall profile and reveal an unexpected novel binding mode.

Role of public relations practices in content management: the mediating role of new media platforms.

Public relations practices are widely accompanied by communication and persuasion. Especially today, when new media platforms provide direct accessibility, communication through PR has become more improved. This research focused on media organizations in the UAE, with a special consideration given to their audience content management.

Temporal trends in characteristics and outcomes after myocardial infarction in patients with and without peripheral artery disease - A Nationwide, register-based follow-up study.

Aim: Patients with peripheral artery disease (PAD) represent a high-risk population with increased morbidity and mortality. We aimed to examine trends in myocardial infarction (MI), PAD and adverse clinical outcomes from years 2000 to 2019.

Methods: This nationwide Danish-based registry study included all patients with MI from years 2000-2019.

Role of Platelet-Derived Growth Factor-mediated signaling in carcinogenesis and metastasis.

Platelet-Derived Growth Factor (PDGF) mediated signaling has emerged as one of the most extensively studied cascades in cancer development and progression. Overwhelmingly increasing data obtained from preclinical and clinical studies has helped us to develop a near-complete resolution of PDGF/PDGFR signaling landscape. Phenotype- and genotype-driven studies have provided proof-of-concept that therapeutic targeting of PDGF/PDGFR signaling axis is necessary to improve clinical outcome.