Medical students' attitudes toward AI in education: perception, effectiveness, and its credibility.

Background: The rapid advancement of artificial intelligence (AI) has revolutionized both medical education and healthcare by delivering innovative tools that enhance learning and improve overall outcomes. The study aimed to assess students' perceptions regarding the credibility and effectiveness of AI as a learning tool and to explore the dynamics of integrating AI in medical education.

Methodology: A cross-sectional study was carried out across medical colleges in Pakistan.

Schiff bases targeting an Sw-480 colorectal cell line: synthesis, characterization, ds-DNA binding and anticancer studies.

In present studies, six Schiff bases were prepared, characterized and evaluated for their anti-tumor activity against the colorectal cancer cell line SW-480. The test compounds were characterized by various physico-chemical techniques such as M. P.

Facile Synthesis of Selenium Nanoparticles for Enhanced Oxygen Evolution Reaction: Insights into Electrochemical and Photoelectrochemical Catalysis.

Implementing a hydrogen economy on an industrial scale poses challenges, particularly in developing cost-effective and stable catalysts for water electrolysis. This study explores the catalytic potential of selenium nanoparticles (Se-NPs) synthesized via a simple chemical bath deposition method for electrochemical and photoelectrochemical (PEC) water splitting. The successful fabrication of Se-NPs on fluorine-doped tin oxide (FTO) electrodes has been confirmed using a wide range of analytical tools like X-ray diffraction, energy-dispersive X-ray spectroscopy, and scanning electron microscopy.

The potential of seaweed-derived polysaccharides as sustainable biostimulants in agriculture.

Seaweed polysaccharides such as alginate, carrageenan, agar, and ulvan are emerging as key bioresources in sustainable agriculture due to their unique structural characteristics and functional properties. This review highlights their potential as eco-friendly biostimulants capable of enhancing soil health, plant growth, and stress resilience. Specific mechanisms, including the gel-forming capacity of alginate, ion exchange abilities, and the hydrophilic nature of these polysaccharides, enable improved water retention, nutrient uptake, and plant productivity under adverse conditions, including drought, salinity, and extreme temperatures.

Enhanced targeted treatment of cervical cancer using nanoparticle-based doxycycline delivery system.

This study investigates a nanoparticle-based doxycycline (DOX) delivery system targeting cervical cancer cells via the CD44 receptor. Molecular docking revealed a strong binding affinity between hyaluronic acid (HA) and CD44 (binding energy: -7.2 kJ/mol).

Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data.

Android malware detection remains a critical issue for mobile security. Cybercriminals target Android since it is the most popular smartphone operating system (OS). Malware detection, analysis, and classification have become diverse research areas.

An Analysis of Percutaneous Nephrolithotomy (PCNL) Performed at the Institute of Kidney Disease, Pakistan: Stone Clearance and Complications.

Background: Percutaneous nephrolithotomy (PCNL) is the preferred treatment for large renal stones, yet variability in outcomes arises from patient-specific factors and institutional practices. Understanding complications and predictors of success is essential to improving procedural efficacy.

Objective: This study aimed to evaluate stone clearance rates, complications classified using the Clavien-Dindo system, and predictors of PCNL outcomes, with a focus on improving lower calyx stone clearance.

Impact of Metabolic Dysfunction-Associated Fatty Liver Disease on the Prognosis of Patients With Hepatocellular Carcinoma After Radical Resection: A Retrospective Study.

Introduction Although metabolic dysfunction-associated fatty liver disease (MAFLD) is becoming more common in individuals with hepatocellular carcinoma (HCC), it is still unknown how this condition relates to postoperative complications of HCC. While hepatitis B/C virus (HBV/HCV) infection and alcohol use are primary risk factors, MAFLD has emerged as a significant contributor to HCC incidence. Understanding the prognostic impact of MAFLD on HCC outcomes, particularly post-radical resection, is essential.

HCV and HBV genotypes: vital in the progression of HCV/ HBV co-infection.

Background: Viral hepatitis is the major contributor to liver cirrhosis and hepatocellular carcinoma (HCC). Studies indicated that the co-infection of hepatitis C and hepatitis B virus also prompts liver damage progression. Therefore, in the present study, the prevalence of HCV-HBV co-infection and the impact of HCV-HBV co-infection on the progression of liver damage was evaluated amongst the HCV-infected patients in Pakistan.

Single Precursor-Derived Sub-1 nm MoCo Bimetallic Particles Decorated on Phosphide-Carbon Nitride Framework for Sustainable Hydrogen Generation.

The strategic design and fabrication of efficient electrocatalysts are pivotal for advancing the field of electrochemical water splitting (EWS). To enhance EWS performance, integrating non-noble transition metal catalysts through a cooperative double metal incorporation strategy is important and offers a compelling alternative to conventional precious metal-based materials. This study introduces a novel, straightforward, single-step process for fabricating a bimetallic MoCo catalyst integrated within a three-dimensional (3D) nanoporous network of N, P-doped carbon nitride derived from a self-contained precursor.

Development of an immunodiagnostic assay for the detection of .

Background/aim: (SCMV; genus and family ), poses a significant threat to global sugarcane cultivars, including those in Pakistan. The aim of this study was to develop a rapid and effective diagnostic tool for detection of SCMV, enabling timely implementation of control measures to mitigate potential yield losses.

Materials And Methods: The study focused on the in silico analysis, physicochemical properties, immunogenicity, and subcellular localization of the SCMV coat protein (CP).

One-pot, Four-component Synthesis, Molecular Docking and Pharmacokinetic Studies of Tetra-substituted Imidazole Derivatives as Potential Mushroom Tyrosinase Inhibitors.

Introduction: An efficient and four-component one-pot facile synthesis of tetra-substituted imidazole is achieved by cyclo-condensation reaction of benzil with subsequent successive substitution of aromatic aldehydes, ester substituted amine and ammonium acetate via refluxing the mixture for almost two hours at 140°C.

Method: The ending point of the understudy reaction was examined by TLC after regular intervals. Synthesized 1,2,4-tetrasubstituted imidazoles were characterized by physical data and the structural features were analyzed using spectroscopic techniques such as FTIR, NMR and elemental analysis.

Protocol for optimizing robot-assisted autism therapy sessions through gaze analysis: A pilot study investigating optimal trial count for children with comorbid autism spectrum disorder and intellectual disability.

Background: Autism spectrum disorder poses challenges in social communication and behavior, while Intellectual disabilities are characterized by deficits in cognitive, social, and adaptive skills, frequently accompanied by stereotypies and challenging behaviors. Despite the progress made in autism spectrum disorder research, there is often a lack of research focusing on individuals with co-occurring autism spectrum disorder and intellectual disability. Robot-assisted autism therapies are effective in addressing these needs.

Noether and partial Noether approach for the nonlinear (3+1)-dimensional elastic wave equations.

The Lie group method is a powerful technique for obtaining analytical solutions for various nonlinear differential equations. This study aimed to explore the behavior of nonlinear elastic wave equations and their underlying physical properties using Lie group invariants. We derived eight-dimensional symmetry algebra for the (3+1)-dimensional nonlinear elastic wave equation, which was used to obtain the optimal system.

Organotin(IV) derivatives of 4-chloro-2-methylphenoxyacetic acid: synthesis, spectral characterization, X-ray structures, anticancer, enzyme inhibition, antileishmanial, antimicrobial and antioxidant activities.

Four organotin(IV) carboxylate complexes; (CH)SnL (), CHSnL (), (CH)SnL () and (CH)SnL () are synthesized by the condensation reaction of organotin(IV) chlorides with sodium-4-chloro-2-methylphenoxyacetate (). The FT-IR spectra suggested bridging/chelating bidentate coordination of the ligand to the tin atom. Single-crystal XRD analysis authenticated the FT-IR findings for and .

A comparative analysis of L-moments, maximum likelihood, and maximum product of spacing methods for the four-parameter kappa distribution in extreme value analysis.

The study has investigated the implications of three estimation methods, namely L-moments, Maximum Likelihood, and Maximum Product of Spacing (MPS), for fitting the four-parameter Kappa Distribution (KAPD) in extreme value analysis using Monte Carlo simulations. The accuracy of the estimates has been evaluated using root mean square error (RMSE) and bias. The paper also includes an analysis of the effect of the estimation method on the estimated quantiles considering a real-life example of annual maximum peak flows and the Generalized Normal Distribution as the error distribution.

Block selection in multiblock partial least squares for modeling genotype-phenotype relations in Saccharomyces.

In data-based modeling, correlations between explanatory variables often lead to the formation of distinct gene blocks. This study focuses on identifying influential gene blocks and key variables within these blocks, with a particular application in mind: genotype-phenotype mapping in Saccharomyces. To overcome the challenges of a limited sample size, we use partial least squares (PLS).

Pomegranate peel extract diet enhances health and immunity of common carp () against .

Background: Pomegranate () fruit rich in bioactive constituents, is used as a feed supplement against bacterial pathogens in aquaculture.

Aim: This study examined the effects of supplementing the diet of the common carp () infected with on growth and some hematological, biochemical, and immunological health indicators.

Methods: Carp was fed for 7 weeks a diet of 30% crude protein and 7% crude fat, supplemented with 0, 0.

AneRBC dataset: a benchmark dataset for computer-aided anemia diagnosis using RBC images.

Visual analysis of peripheral blood smear slides using medical image analysis is required to diagnose red blood cell (RBC) morphological deformities caused by anemia. The absence of a complete anaemic RBC dataset has hindered the training and testing of deep convolutional neural networks (CNNs) for computer-aided analysis of RBC morphology. We introduce a benchmark RBC image dataset named Anemic RBC (AneRBC) to overcome this problem.

Tunning the Wettability of the PVDF Membrane using the PVA-Stabilized TA-UiO-66-NH MOF Membranes to Separate Layered Oil-Water Mixture and Surfactant-Stabilized Emulsion.

This study introduces a UiO-66-NH/Tannic acid/Polyvinylidene fluoride (UTP) composite membrane for efficient oil-water separation. Pristine polyvinylidene fluoride (PVDF) membranes, due to their hydrophobic nature, tend to foul during oil-in-water emulsion separation. By incorporating the metal-organic framework (MOF) UiO-66-NH and stabilizing it with tannic acid (TA) and polyvinyl alcohol (PVA), the membrane's hydrophilicity and antifouling properties were significantly enhanced.

Cysteine-Grafted Cu MOF/ZnO/PANI Nanocomposite for Nonenzymatic Electrochemical Sensing of Dopamine.

Electrochemical sensing has shown great promise in monitoring neurotransmitter levels, particularly dopamine, essential for diagnosing neurological illnesses like Parkinson's disease. Such techniques are easy, cost-effective, and extremely sensitive. The present investigation discusses the synthesis, characterization, and potential use of a cysteine-grafted Cu MOF/ZnO/PANI nanocomposite deposited on the modified glassy carbon electrode surface for nonenzymatic electrochemical sensing of dopamine.

Computational Evaluation of Fusarium nygamai Compounds as AcrD Efflux Pump Protein Inhibitors of Salmonella Typhimurium.

In Salmonella Typhimurium, efflux pump proteins, such as AcrD actively expel drugs and hazardous chemicals from bacterial cells, resulting in treatment failure and the emergence of antibiotic-resistant variants. Focusing on AcrD may lead to the development of novel antimicrobials against multidrug-resistant bacteria. However, challenges persist in achieving high selectivity, low toxicity, and effective bacterial penetration.

MiCK: a database of gut microbial genes linked with chemoresistance in cancer patients.

Cancer remains a global health challenge, with significant morbidity and mortality rates. In 2020, cancer caused nearly 10 million deaths, making it the second leading cause of death worldwide. The emergence of chemoresistance has become a major hurdle in successfully treating cancer patients.

Advancement in medical report generation: current practices, challenges, and future directions.

The correct analysis of medical images requires the medical knowledge and expertise of radiologists to understand, clarify, and explain complex patterns and diagnose diseases. After analyzing, radiologists write detailed and well-structured reports that contribute to the precise and timely diagnosis of patients. However, manually writing reports is often expensive and time-consuming, and it is difficult for radiologists to analyze medical images, particularly images with multiple views and perceptions.

An evaluation framework and comparative analysis of the widely used learning management systems.

Learning Management System (LMS) is a major tool used in most universities and institutions for online/distance education purposes. A variety of LM systems are being used in different universities and institutions, and these LM systems are also updating their versions and patches to stay in the competition. Hence, the selection of an appropriate LMS is an important task as it is going to influence the academic proceedings of an academic institution.