Mitigation of Diabetes Mellitus Using Leaf Ethanolic Extract by Modulating GCK, GLUT4, IGF, and G6P Expressions in Streptozotocin-Induced Diabetic Rats.

Diabetes mellitus is a metabolic disorder. Synthetic antidiabetics are the commonly used treatment options associated with complications. The objective of this study was to explore the antioxidative and antidiabetic potential of whole plant ethanolic extract using in vitro and in vivo models.

Dye degradation and antimicrobial efficacy of cesium-doped YO nanostructures: docking study.

Developing multifunctional nanomaterials is crucial to rising global concerns over environmental contamination caused by dye effluents and antibiotic resistance. This work presents cesium (Cs)-doped YO nanostructures (NSs) as viable options for catalytic dye degradation and antibacterial action. This study prepared yttrium oxide (YO) and various (2, 4, and 6 wt%) concentrations of Cs-doped YO NSs co-precipitation technique.

Oncogenic microRNA-1290 and Gene as Potential Biomarker for Colorectal Carcinoma.

Introduction: Colorectal cancer (CRC) is the world's third most frequent cancer, with a significant mortality rate due to late detection. There is a need to search for biomarkers that can detect colorectal cancer at an early stage. MicroRNAs (miRNAs) regulate several targets that function as oncogenes and/or tumor suppressor genes, so any change in microRNA expression level can predict abnormality.

Responding to Hitch in Fighting Mycobacterium Tuberculosis Through Arginine Multi Functionalized Mucoadhesive SNEDDS of Rifampicin.

The study aimed to develop thiolated pluronic-based self-emulsifying drug delivery system (SNEDDS) targeted delivery of Rifampicin coated by arginine for enhanced drug loading, mucoadhesion, muco penetration, site-specific delivery, stabilized delivery against intracellular mycobacterium tuberculosis (M. tb), decreased bacterial burden and production by intracellular targeting. Oleic oil, PEG 200 and Tween 80 are selected as oil, co-surfactant and surfactant based on solubilizing capacity and pseudo ternary diagram region.

Comparison of the effects of dry needling and spinal manipulative therapy versus spinal manipulative therapy alone on functional disability and endurance in patients with nonspecific chronic low back pain: An experimental study.

Background: Low back pain (LBP) is a global musculoskeletal ailment. Over the past few years, dry needling (DN) has garnered interest from both physical therapists and patients. Physical therapy commonly employs spinal manipulation to alleviate persistent LBP and other musculoskeletal disorders.

Utilizing Indigenous Flora in East Africa for Breast Cancer Treatment: An Overview.

Background: Breast cancer is a significant global health challenge, contributing substantially to cancer- related deaths. Conventional treatment methods, including hormone therapy, chemotherapy, surgical interventions, and radiation, have long been utilized. However, these traditional treatments are often associated with serious side effects and drug resistance, limiting their efficacy.

Computational techniques to monitoring fractional order type-1 diabetes mellitus model for feedback design of artificial pancreas.

Background And Objectives: In this paper, we developed a significant class of control issues regulated by nonlinear fractal order systems with input and output signals, our goal is to design a direct transcription method with impulsive instant order. Recent advances in the artificial pancreas system provide an emerging treatment option for type 1 diabetes. The performance of the blood glucose regulation directly relies on the accuracy of the glucose-insulin modeling.

Translation, cross-cultural adaptation and validation of psychometric properties of foot function index in Urdu-speaking population with ankle and foot disorders.

Background: Foot and ankle problems are frequently prevalent, especially among the elderly, ranging from 70 to 80%. In primary care, foot, and ankle complaints stand out as one of the most frequent reasons for orthopedic consultations. Patient-reported outcome measures are significant in the assessment burden of any condition on the effects of intervention as well as research.

Predictive modeling of hepatitis B viral dynamics: a caputo derivative-based approach using artificial neural networks.

A fractional model for the kinetics of hepatitis B transmission was developed. The hepatitis B virus significantly affects the world's economic and health systems. Acute and chronic carrier phases play a crucial part in the spread of the HBV infection.

Cytotoxicity and mechanisms of perfluorobutane sulfonate (PFBS) in umbilical cord fibroblast cells of Yangtze finless porpoise.

Yangtze finless porpoises (YFP) accumulate high levels of per- and polyfluoroalkyl substances (PFASs). However, the health impacts of PFASs to YFP are still unknown because it is technically and ethically unfeasible to use the critically endangered YFP in toxicological exposures. To uncover the potential toxicities of PFASs to YFP, this study exposed a YFP umbilical cord fibroblast cell line to perfluorobutane sulfonate (PFBS), an emerging PFASs pollutant in the aquatic environments.

An optimal estimation approach in stratified random sampling utilizing two auxiliary attributes with application in agricultural, demography, finance, and education sectors.

In the contemporary era of information technology, copious amounts of data are ubiquitous, generated across various sectors on a daily basis. Analyzing every unit of data is impractical due to constraints such as limited resources in terms of time, labor, and cost. In such scenarios, survey sampling becomes a recommended approach for extracting information about population parameters.

Investigating artificial intelligence models for predicting joint pain from serum biochemistry.

Objective: The study used machine learning models to predict the clinical outcome with various attributes or when the models chose features based on their algorithms.

Methods: Patients who presented to an orthopedic outpatient department with joint swelling or myalgia were included in the study. A proforma collected clinical information on age, gender, uric acid, C-reactive protein, and complete blood count/liver function test/renal function test parameters.

Data-driven approaches to study the spectral properties of chemical structures.

The molecular energy, which is the sum of all eigenvalues, is crucial in determining the total π-electron energy of conjugated hydrocarbon molecules. We used machine learning techniques to calculate the energy, inertia, nullity, signature, and Estrada index of molecular graphs for bismuth tri-iodide and benzene rings embedded in P-type surfaces within 2D networks. We applied MATLAB to extract the actual eigenvalues from the data and developed general equations for these molecular properties.

Incidence of Infective Endocarditis Post-TPVR with MELODY Valve in Pediatric Patients: A Systematic Review and Meta-Analysis.

Introduction: Infective Endocarditis (IE) has emerged to be one of the most impactful adverse complications post-transcatheter procedures, especially Transcatheter Pulmonary Valve Replacement (TPVR). We conducted a systematic review and meta-analysis with the aim of identifying the incidence of IE post-TPVR with the MELODY valve in the pediatric population.

Methods: A comprehensive literature search was performed across several prominent databases, including PubMed/MEDLINE, SCOPUS, and Science Direct.

Exploring mixture estimators in stratified random sampling.

Advancements in sensor technology have brought a revolution in data generation. Therefore, the study variable and several linearly related auxiliary variables are recorded due to cost-effectiveness and ease of recording. These auxiliary variables are commonly observed as quantitative and qualitative (attributes) variables and are jointly used to estimate the study variable's population mean using a mixture estimator.

Leadership competencies for dentists: What do undergraduate students think?

Dentists face difficult situations and challenges every day, but undergraduate dental students in Pakistan are not formally taught leadership skills or assessed for these skills. This study aims to explore the perception of undergraduate dental students on various leadership competencies. A multi-institutional cross-sectional observational study was conducted on undergraduate students in five institutions by using universal sampling technique.

Biocrude from hydrothermal liquefaction of indigenous municipal solid waste for green energy generation and contribution towards circular economy: A case study of urban Pakistan.

In this study, biocrude was successfully produced by the hydrothermal liquefaction of municipal solid waste collected from the landfill site of Lahore, the capital of Punjab, Pakistan, boasting a population of 12 million and an annual waste collection of 10 million tons. The hydrothermal liquefaction process was performed at reaction parameters of 350 °C and 165 bars with 15 min of residence time. The solid waste was found to have 78 % dry matter, 22 % moisture contents, 22.

Phytochemical profiling and anticancer potential of extracts against arsenic trioxide induced liver fibrosis in rat model.

Introduction: Arsenic trioxide (AsO) is an environmental contaminant that may cause hepatic injuries. AsO-induced liver injuries are detected as an underlying cause of hepatocellular carcinoma (HCC) around the globe. The present study aimed to investigate the potential of (GL) extracts against oxidative stress and apoptotic activity in HCC-induced rats and to explore molecular docking analysis of phytocompounds of .

The effect of educational interventions by nurses through Orem's self-care theory on the ability of self-care in myocardial Infarction patients in public sector hospital: A quasi-experimental study.

Objectives: To assess the impact of educational intervention by nurses guided by Orem's theory to reinforce the self-care abilities of patients experiencing myocardial infarction.

Methods: The prospective, quasi-experimental case-control study was conducted from September 2020 to April 2021 at Dr. Ruth K.

Modeling health outcomes of air pollution in the Middle East by using support vector machines and neural networks.

This study investigates the impact of air pollution on health outcomes in Middle Eastern countries, a region facing severe environmental challenges. As such, these are important in an effort to add up to policy-level as well as interventional changes that can be put in practice in the area of public health. Numeration analysis and association with health parameters was carried out by using Analytical tools such as, AIR Data, ARIMA,ANN, SVM and Exponential smoothing.