Correction: Almadhor et al. AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery. 2021, , 3830.

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Novel Quinoline- and Naphthalene-Incorporated Hydrazineylidene-Propenamide Analogues as Antidiabetic Agents: Design, Synthesis, and Computational Studies.

Type 2 diabetes has become a significant global health challenge. Numerous drugs have been developed to treat the condition, either as standalone therapies or in combination when glycemic control cannot be achieved with a single medication. As existing treatments often come with limitations, there is an increasing focus on creating novel therapeutic agents that offer greater efficacy and fewer side effects to better address this widespread issue.

Repurposing Dapagliflozin for Mitigation of the Kidney Injury Triggered by Cadmium in Rats: Role of Autophagy, Apoptosis, and the SIRT1/Nrf2/HO-1 Pathway.

The antioxidant/antiapoptotic features of dapagliflozin (DPG) have mediated its beneficial actions against several experimental models. However, no studies have been conducted to determine whether DPG mitigates the renal injury triggered by cadmium (Cd). Herein, DPG was studied for its potential to attenuate kidney damage in Cd-intoxicated rats, as well as to unravel the mechanisms involving oxidative events, autophagy, and apoptosis.

PCSK9 Inhibitors: Focus on Evolocumab and Its Impact on Atherosclerosis Progression.

This paper investigates the therapeutic use of PCSK9 inhibitors, particularly Evolocumab, as monoclonal antibodies for the treatment of atherosclerosis based on recent literature reviews. PCSK9 is an outstanding example of a breakthrough in medical science, with advancements in understanding its biological function driving substantial progress in atherosclerosis treatment. Atherosclerotic cardiovascular disease (ASCVD) is a leading global cause of mortality, imposing substantial financial burdens on healthcare systems.

Nano-LC with New Hydrophobic Monolith Based on 9-Antracenylmethyl Methacrylate for Biomolecule Separation.

In this study, new monolithic poly(9-anthracenylmethyl methacrylate-co-trimethylolpropane trimethacrylate (TRIM) columns, referred as ANM monoliths were prepared, for the first time, and were used for the separation media for biomolecules and proteomics analysis by nano-liquid chromatography (nano-LC). Monolithic columns were prepared by in situ polymerization of 9-anthracenylmethyl methacrylate (ANM) and trimethylolpropane trimethacrylate (TRIM) in a fused silica capillary column of 100 µm ID. Polymerization solution was optimized in relation to monomer and porogenic solvent.

Prognostic Significance of DSCC1, a Biomarker Associated with Aggressive Features of Breast Cancer.

: Invasive breast cancer (BC) was traditionally investigated visually, and no technique could identify the key molecular drivers of patient survival. However, essential molecular drivers of invasive BC have now been discovered using innovative genomic, transcriptomic, and proteomic methodologies. Nevertheless, few evaluations of the prognostic factors of BC in Saudi Arabia have been performed.

Willingness to Receive COVID-19 Booster Dose Using the Health Belief Model (HBM) Among University Students: Cross-Sectional Study.

COVID-19 has significantly impacted lives, and data show that receiving a booster vaccination has been demonstrated to lower the spread of COVID-19 and reduce the severity of the risk of infection. The Saudi government has actively promoted booster dose vaccines among university students who can spread the virus to older populations, especially in high-density environments, where the risk of virus transmission and spread is elevated. This study focuses on the acceptance of COVID-19 booster shots among students at Imam Abdulrahman bin Faisal University.

Correction: Slimani et al. Effects of Acute Long-Versus Short-Interval High-Intensity Interval Training on Attention and Psychological States in a Sample of Male and Female Adolescents: A Pilot Study. 2023, , 1846.

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Assessment of the Biocontrol Efficacy of Silver Nanoparticles Synthesized by Against Infected L. Germination.

This study investigated the biosynthesis, statistical optimization, characterization, and biocontrol activity of silver nanoparticles (AgNPs) produced by newly isolated sp. The strain TA-3N was identified based on the ITS gene sequence, together with its phenotypic characteristics (GenBank accession number: OM321439). The color change from light yellow to brown after the incubation period indicates AgNPs biosynthesis.

Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms.

: In the United States, chronic obstructive pulmonary disease (COPD) is a significant cause of mortality. As far as we know, it is a chronic, inflammatory lung condition that cuts off airflow to the lungs. Many symptoms have been reported for such a disease: breathing problems, coughing, wheezing, and mucus production.

Enhanced Control of Nonlinear Systems Under Control Input Constraints and Faults: A Neural Network-Based Integral Fuzzy Sliding Mode Approach.

Many existing control techniques proposed in the literature tend to overlook faults and physical limitations in the systems, which significantly restricts their applicability to practical, real-world systems. Consequently, there is an urgent necessity to advance the control and synchronization of such systems in real-world scenarios, specifically when faced with the challenges posed by faults and physical limitations in their control actuators. Motivated by this, our study unveils an innovative control approach that combines a neural network-based sliding mode algorithm with fuzzy logic systems to handle nonlinear systems.

Readiness to Embrace Artificial Intelligence Among Medical Students in Saudi Arabia: A National Survey.

Background/objectives: Artificial intelligence (AI) is rapidly reshaping healthcare, offering transformative potential for diagnostics, treatment, and patient management. Despite its growing significance, there is limited integration of AI education in medical curricula, raising concerns about the readiness of future healthcare professionals to utilize AI technologies. This study aims to evaluate the readiness of medical students in Saudi Arabia to embrace AI and to assess the current state of AI education, AI Application use, and future perspectives for medical students.

Age-specific DRLs for pediatric brain CT: A review for exploring the practices in Saudi Arabia.

This review explores the establishment of diagnostic reference levels (DRLs) for pediatric brain computed tomography (CT) examinations in Saudi Arabia and compares them with nine other countries. An extensive search strategy was employed across various databases, resulting in the inclusion of 9 studies. The studies included patient-based and phantom-based investigations into DRLs, highlighting variations across age groups and countries.

Development of a Novel Synchronous Spectrofluorimetric Method Coupled With Chemometric Modelling for Ultrasensitive Analysis of Tenofovir and Dolutegravir With Implication for Pharmacokinetic Studies.

This study introduces a novel synchronous spectrofluorimetry coupled with chemometric tools for the determination of tenofovir and dolutegravir antiretroviral drugs. Utilizing partial least squares regression (PLS) fine-tuned by genetic algorithm as variable selection tool, the developed models demonstrate greater sensitivity, cost-effectiveness, and reduced environmental impact compared to traditional HPLC methods. The model's validation was further confirmed using external validation in addition to QC samples as per ICH M10 guidelines, which yielded high accuracy ranged between 94.

The hidden epidemic of occult hepatitis B and C among injection drug users (IDUs): A call for action.

Objective: This study aims to determine the prevalence of Occult Hepatitis B and C Infections among Egyptian injection drug users (IDUs) and identify key risk factors contributing to their occurrence within this high-risk group.

Methods: In this cross-sectional study, 200 Egyptian IDUs were assessed. Participants were negative for Hepatitis B surface antigen and hepatitis C virus (HCV) RNA, with anti-HCV positive patients who achieved sustained virologic response after treatment included.

Motor skill experience modulates attentional processing regardless of open- or closed-skill types: an ERP study.

Background: Attentional engagement, the ability to maintain focus on relevant tasks, plays a crucial role in optimizing human performance. Studies have shown that athletes exhibit superior attentional engagement compared to non-athletes; however, it remains unclear if these benefits persist in non-sport-related tasks or differ across types of sports expertise, such as open-skill versus closed-skill sports.

Methods: Ninety-three young adults, divided into open-skill athletes ( = 31), closed-skill athletes ( = 31), and a control group ( = 31), completed an auditory oddball task while the P3 component of event-related potentials was measured to assess attentional processing.

A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx.

"PolynetDWTCADx" is a sophisticated hybrid model that was developed to identify and distinguish colorectal cancer. In this study, the CKHK-22 dataset, comprising 24 classes, served as the introduction. The proposed method, which combines CNNs, DWTs, and SVMs, enhances the accuracy of feature extraction and classification.

Retraction notice to "Copper oxide nanoparticles synthesized from an endophytic fungus Aspergillus terreus: Bioactivity and anti-cancer evaluations" [Environ. Res. 201 (2021) 111502].

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).

Unveiling nature's antidiabetic potential in Berberis orthobotrys seeds for alloxan-induced diabetic rats.

To illustrate the anti-diabetic properties of Berberis orthobotrys seeds was the aim of the current study. After a series of experiments, two doses of aqueous methanolic extract of the seeds were selected i.e.

Full-length genome reveals genetic diversity and extensive recombination patterns of Saudi GI-1 and GI-23 genotypes of infectious bronchitis virus.

Background: Despite numerous genetic studies on Infectious Bronchitis Virus (IBV), many strains from the Middle East remain misclassified or unclassified. Genotype 1 (GI-1) is found globally, while genotype 23 (GI-23) has emerged as the predominant genotype in the Middle East region, evolving continuously through inter- and intra-genotypic recombination. The GI-23 genotype is now enzootic in Europe and Asia.

Comparative Analysis of Dental Age Estimation: A Systematic Review and Meta-analysis Assessing Gender-Specific Accuracy of the Demirjian and Nolla Methods Across Different Age Groups.

Chronological age (CA) estimation is essential in medicine, forensics, and law. Teeth are often used for this due to their reliability. The Demirjian and the Nolla methods are used to estimate dental age (DA).

Computational insights into spin-polarized density functional theory applied to actinide-based perovskites XBkO₃ (X = Sr, Ra, Pb).

The exploration of perovskite compounds incorporating actinide and divalent elements reveals remarkable characteristics. Focusing on PbBkO, RaBkO, and SrBkO, these materials were studied using density functional theory (DFT) via the CASTEP code to analyze their electronic, optical, and mechanical properties. The results show semiconductor behavior, with respective band gaps of 1.

Optimal design of tilt integral derivative controller for a boost converter based on swarm-inspired algorithms.

This article proposes a novel dual-loop control (DLC) method with a Tilt Integral Derivative (TID) Controller for output voltage regulation and inductor current regulation in a boost converter. The TID controller is designed with the aid of swarm inspired algorithms, particularly Artificial Bee Colony (ABC) and Salp Swarm Optimization (SSO). The TID Controller is a robust, and feedback type of controller and belongs to the family of fractional order controllers.

MicroRNAs and long non-coding RNAs In T-cell lymphoma: Mechanisms, pathway, therapeutic opportunities.

T-cell lymphomas represent non-Hodgkin lymphomas distinguished by the uncontrolled proliferation of malignant T lymphocytes. Classifying these neoplasms and the ongoing investigation of their underlying biological mechanisms remains challenging. Significant subtypes encompass peripheral T-cell lymphomas, anaplastic large-cell lymphomas, cutaneous T-cell lymphomas, and adult T-cell leukemia/lymphoma.

Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies.

This paper seeks to enhance the performance of Mel Frequency Cepstral Coefficients (MFCCs) for detecting abnormal heart sounds. Heart sounds are first pre-processed to remove noise and then segmented into S1, systole, S2, and diastole intervals, with thirteen MFCCs estimated from each segment, yielding 52 MFCCs per beat. Finally, MFCCs are used for heart sound classification.