The interplay between diabetes and non-alcoholic fatty liver disease: a cross-sectional study from Pakistan.

Background And Objectives: Non-alcoholic fatty liver disease (NAFLD) is characterized by ectopic deposition of fat in the liver, in the absence of other secondary causes of fat buildup. The relationship between NAFLD, including alanine aminotransferase (ALT), and glycated haemoglobin (HbA1c), is important for predicting the severity of disease and prognosis. This study aims to investigate the association of HbA1c in type 2 diabetes mellitus (T2DM) patients with NAFLD via measuring the ALT levels.

and antioxidant therapeutic evaluation of phytochemicals from different parts of Jacq.

Natural antioxidants are vital to promote health and treat critical disease conditions in the modern healthcare system. This work adds to the index of natural medicines by exploring the antioxidant potential of Jacq. (Plant-DV).

7-Hydroxy Frullanolide Ameliorates Isoproterenol-Induced Myocardial Injury through Modification of iNOS and Nrf2 Genes.

Myocardial infarction (MI) is the principal cause of premature death. Protecting myocardium from ischemia is the main focus of intense research. 7-hydroxy frullanolide (7-HF) is a potent anti-inflammatory agent, showing its efficacy in different acute and chronic inflammatory disorders such as atherosclerosis, suggesting it can be a potential cardioprotective agent.

Efficient Fault Detection of Rotor Minor Inter-Turn Short Circuit in Induction Machines Using Wavelet Transform and Empirical Mode Decomposition.

This paper introduces a novel approach for detecting inter-turn short-circuit faults in rotor windings using wavelet transformation and empirical mode decomposition. A MATLAB/Simulink model is developed based on electrical parameters to simulate the inter-turn short circuit by adding a resistor parallel to phase "a" of the rotor. The resulting high current in the new phase indicates the presence of the short circuit.

Privacy-Aware Collaborative Learning for Skin Cancer Prediction.

Cancer, including the highly dangerous melanoma, is marked by uncontrolled cell growth and the possibility of spreading to other parts of the body. However, the conventional approach to machine learning relies on centralized training data, posing challenges for data privacy in healthcare systems driven by artificial intelligence. The collection of data from diverse sensors leads to increased computing costs, while privacy restrictions make it challenging to employ traditional machine learning methods.

Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks.

This study aims to develop an efficient and accurate breast cancer classification model using meta-learning approaches and multiple convolutional neural networks. This Breast Ultrasound Images (BUSI) dataset contains various types of breast lesions. The goal is to classify these lesions as benign or malignant, which is crucial for the early detection and treatment of breast cancer.

Ulam-Hyers stability of tuberculosis and COVID-19 co-infection model under Atangana-Baleanu fractal-fractional operator.

The intention of this work is to study a mathematical model for fractal-fractional tuberculosis and COVID-19 co-infection under the Atangana-Baleanu fractal-fractional operator. Firstly, we formulate the tuberculosis and COVID-19 co-infection model by considering the tuberculosis recovery individuals, the COVID-19 recovery individuals, and both disease recovery compartment in the proposed model. The fixed point approach is utilized to explore the existence and uniqueness of the solution in the suggested model.

Fuzzy Control Modeling to Optimize the Hardness and Geometry of Laser Cladded Fe-Based MG Single Track on Stainless Steel Substrate Prepared at Different Surface Roughness.

Metallic glass (MG) is a promising coating material developed to enhance the surface hardness of metallic substrates, with laser cladding having become popular to develop such coatings. MGs properties are affected by the laser cladding variables (laser power, scanning speed, spot size). Meanwhile, the substrate surface roughness significantly affects the geometry and hardness of the laser-cladded MG.

Thermal transport of biological base fluid with copper and iron oxide nanoparticles in wavy channel.

The nanoparticles are frequently used in biomedical science for the treatment of diseases like cancer and these nanoparticles are injected in blood which is transported in the cardiovascular system on the principle of peristalsis. This study elaborates the effects of Lorentz force and joule heating on the peristaltic flow of copper and iron oxide suspended blood based nanofluid in a complex wavy non-uniform curved channel. The Brinkman model is utilized for the temperature dependent viscosity and thermal conductivity.

Nonlinear Thermal Diffusion and Radiative Stagnation Point Flow of Nanofluid with Viscous Dissipation and Slip Constrains: Keller Box Framework Applications to Micromachines.

The radiated flow of magnetized viscous fluid subject to the viscous dissipation phenomenon is numerically studied. The radiative phenomenon is addressed with nonlinear relations. Further, analysis is performed by using the slip effects and convective thermal flow constraints.

Numerical Computation for Gyrotactic Microorganisms in MHD Radiative Eyring-Powell Nanomaterial Flow by a Static/Moving Wedge with Darcy-Forchheimer Relation.

The intention of this study is to carry out a numerical investigation of time-dependent magneto-hydro-dynamics (MHD) Eyring-Powell liquid by taking a moving/static wedge with Darcy-Forchheimer relation. Thermal radiation was taken into account for upcoming solar radiation, and the idea of bioconvection is also considered for regulating the unsystematic exertion of floating nanoparticles. The novel idea of this work was to stabilized nanoparticles through the bioconvection phenomena.

Modeling and Mathematical Investigation of Blood-Based Flow of Compressible Rate Type Fluid with Compressibility Effects in a Microchannel.

In this investigation, the compressibility effects are visualized on the flow of non-Newtonian fluid, which obeys the stress-strain relationship of an upper convected Maxwell model in a microchannel. The fundamental laws of momentum and mass conservation are used to formulate the problem. The governing nonlinear partial differential equations are reduced to a set of ordinary differential equations and solved with the help of the regular perturbation method assuming the amplitude ratio (wave amplitude/half width of channel) as a flow parameter.

Peristaltic Phenomenon in an Asymmetric Channel Subject to Inclined Magnetic Force and Porous Space.

This research is engaged to explore biological peristaltic transport under the action of an externally applied magnetic field passing through an asymmetric channel which is saturated with porous media. The set of governing partial differential equations for the present peristaltic flow are solved in the absence of a low Reynolds number and long wavelength assumptions. The governing equations are to be solved completely, so that inertial effects can be studied.

A Brief Assessment on Recent Developments in Efficient Electrocatalytic Nitrogen Reduction with 2D Non-Metallic Nanomaterials.

In recent years, the synthesis of ammonia (NH) has been developed by electrocatalytic technology that is a potential way to effectively replace the Haber-Bosch process, which is an industrial synthesis of NH. Industrial ammonia has caused a series of problems for the population and environment. In the face of sustainable green synthesis methods, the advantages of electrocatalytic nitrogen reduction for synthesis of NH in aqueous media have attracted a great amount of attention from researchers.

Applications of bioconvection for tiny particles due to two concentric cylinders when role of Lorentz force is significant.

The bioconvection flow of tiny fluid conveying the nanoparticles has been investigated between two concentric cylinders. The contribution of Lorenz force is also focused to inspect the bioconvection thermal transport of tiny particles. The tiny particles are assumed to flow between two concentric cylinders of different radii.

Bidirectional rotating flow of nanofluid over a variable thickened stretching sheet with non-Fourier's heat flux and non-Fick's mass flux theory.

The flow of nanofluid over a variable thickened stretching sheet is studied in this article. Non-Fourier's heat flux and non-Fick's mass flux are incorporated for heat and mass flow analysis. Silver (Ag) and Copper (Cu) are considered nanoparticles with water as base fluid.

Comparison of Efficacy of Ivabradine With Traditional Therapy in Patients With Left Ventricular Dysfunction.

Background: Heart failure patients usually present with disease exacerbation that overburdens the hospitals and also increases the risk of mortality with increased heart rate being the main issue. Consideration is being given to drugs for sole heart rate control in addition to conventional therapy.

Objective: To compare the outcomes of ivabradine to traditional treatment in patients with left ventricular systolic dysfunction.

Development and evaluation of novel miltefosine-polyphenol co-loaded second generation nano-transfersomes for the topical treatment of cutaneous leishmaniasis.

: To test the hypothesis that miltefosine (MTF)-polyphenol co-loaded second-generation nano-transfersomes (SGNTs) can be an effective approach for the topical treatment of cutaneous leishmaniasis (CL).: The co-loaded SGNTs with various MTF-polyphenol combinations were developed, evaluated and compared for the entrapment efficiency, vesicle size, deformability index, permeation, cytotoxicity, and anti-leishmanial potential, using both and models.: The co-loaded SGNTs were spherical in shape, with an average size of 119 ± 1.

Glycyrrhizic acid-loaded pH-sensitive poly-(lactic-co-glycolic acid) nanoparticles for the amelioration of inflammatory bowel disease.

To fabricate and evaluate the therapeutic efficacy of glycyrrhizic acid (GA)-loaded pH-sensitive nanoformulations that specifically target and combat mucosal inflammation of the colon. GA-loaded Eudragit S100/poly-(lactic-co-glycolic acid) nanoparticles were developed through modified double-emulsion evaporation coupled with solvent evaporation coating techniques and analyzed for physicochemical characteristics, surface chemistry, release kinetics, site-retention and therapeutic effectiveness. Nanoparticles have a particle size of approximately 200 nm, high encapsulation efficiency, desired surface chemistry with pH-dependent and sustained drug release behavior following the Gompertz kinetic model.

Biodegradable Ingredient-Based Emulgel Loaded with Ketoprofen Nanoparticles.

Biodegradable materials are extensively employed to design nanocarriers that mimic extracellular environment in arthritis. The aim of this study was to formulate and characterize biocompatible, biodegradable ketoprofen-loaded chitosan-chondroitin sulfate (CHS-CS) nanoparticles with natural ingredients for transdermal applications. Polymers used in the design of nanocarriers are biodegradable and produce synergistic anti-inflammatory effect for the treatment of arthritis.