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.

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.

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.

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.

Nano-Biochar Suspension Mediated Alterations in Growth, Physio-Biochemical Activities and Nutrient Content in Wheat ( L.) at the Vegetative Stage.

Nano-biochar is a source of blackish carbonaceous material, a prerequisite for sustainable crop productivity. By using a variety of feedstock materials, nanobiochar synthesis can be employed via pyrolysis. Therefore, a project was initiated to explore the morpho-physio-biochemical alteration at the vegetative stage of wheat crops after the foliar application of nanobiochar suspension (NBS).

Technological Frontiers in Brain Cancer: A Systematic Review and Meta-Analysis of Hyperspectral Imaging in Computer-Aided Diagnosis Systems.

Brain cancer is a substantial factor in the mortality associated with cancer, presenting difficulties in the timely identification of the disease. The precision of diagnoses is significantly dependent on the proficiency of radiologists and neurologists. Although there is potential for early detection with computer-aided diagnosis (CAD) algorithms, the majority of current research is hindered by its modest sample sizes.

Combined application of biochar and peatmoss for mitigation of drought stress in tobacco.

Drought poses a significant ecological threat that limits the production of crops worldwide. The objective of this study to examine the impact of soil applied biochar (BC) and peatmoss (PM) on the morpho-biochemical and quality traits of tobacco plants under drought conditions. In the present experiment work, a pot trial was conducted with two levels of drought severity (~ well-watered 75 ± 5% field capacity) and severe drought stress (~ 35 ± 5% field capacity), two levels of peatmoss (PM) @ 5% [PM+ (with peatmoss) and PM- (without peatmoss)] and three levels of rice straw biochar (BC = no biochar; BC = 150 mg kg; and BC = 300 mg kg of soil) in tobacco plants.

Seed treatment: an alternative and sustainable approach to cotton seed delinting.

This review article delves into the vital aspects of cotton, emphasizing its global significance as a crucial agricultural commodity. The paper comprehensively explores the composition of cotton and surveys the diverse methods employed for the removal of cotton lint from seeds. Conventional delinting methods, including mechanical and chemical approaches, are scrutinized in terms of their advantages and drawbacks.

Molasses-based waste water irrigation: a friend or foe for carrot (Daucus carota L.) growth, yield and nutritional quality.

Management of molasses-based wastewater generated in yeast and sugar industries is a major environmental concern due to its high chemical oxygen demand and other recalcitrant substances. Several strategies have been used to reduce the inland discharge of wastewater but the results are not satisfactory due to high operating cost. However, reuse of molasses-based wastewater irrigation in agriculture has been a major interest nowadays to reduce the freshwater consumption.

Comparative assessment of phytoremediation potential of four Ficus spp. under Semi-arid environmental conditions.

Heavy metals have been recognized as a prominent hazard in today's world, causing pollution in the air environment. Woody tree species can play a significant role in the extraction and remediation of metal pollutants from the air, therefore promoting the air quality index. This study investigated the potential of four species of the Ficus genus (F.

Increasing trends of non-tuberculous mycobacteria clinical isolates in Guangzhou, China.

Non-tuberculous mycobacteria (NTM) are one of major public health concern. The current study aimed to find the prevalence trends of NTM in Guangzhou, China from January 2018 to December 2023. A total of 26,716 positive mycobacterial cultures were collected.

Stochastic delayed analysis of coronavirus model through efficient computational method.

Stochastic delayed modeling has a significant non-pharmaceutical intervention to control transmission dynamics of infectious diseases and its results are close to the reality of nature. The covid-19 has been controlled globally but there is still a threat and appears in different variants like omicron and SARS-CoV-2 etc. globally.

Identification of novel natural compounds against CFTR p.Gly628Arg pathogenic variant.

Cystic fibrosis transmembrane conductance regulator (CFTR) protein is an ion channel found in numerous epithelia and controls the flow of water and salt across the epithelium. The aim of our study to find natural compounds that can improve lung function for people with cystic fibrosis (CF) caused by the p.Gly628Arg (rs397508316) mutation of CFTR protein.

An improved deep convolutional neural network-based YouTube video classification using textual features.

Video content on the web platform has increased explosively during the past decade, thanks to the open access to Facebook, YouTube, etc. YouTube is the second-largest social media platform nowadays containing more than 37 million YouTube channels. YouTube revealed at a recent press event that 30,000 new content videos per hour and 720,000 per day are posted.

The Psychological Impact of COVID-19: A Comparative Analysis of Pre-Lockdown and During-Lockdown Periods Among Saudi General Population.

Background: Prior research has revealed substantial psychological impacts of COVID-19 among the general population. However, there is a noticeable gap in studies addressing the enduring anxiety levels before and during lockdown periods of the COVID-19 pandemic.

Objective: The study assessed and compared the psychological impact of the COVID-19 pandemic before and during lockdown periods among the general population in Saudi Arabia.

Zinc oxide nanoparticles mediated salinity stress mitigation in Pisum sativum: a physio-biochemical perspective.

Salinity is the major abiotic stress among others that determines crop productivity. The primary goal is to examine the impact of Zinc Oxide Nanoparticles (ZnO NPs) on the growth, metabolism, and defense systems of pea plants in simulated stress conditions. The ZnO NPs were synthesized via a chemical process and characterized by UV, XRD, and SEM.

Diving deep into healing: the promising role of fish skin in wound recovery.

Fish skin has emerged as a potential candidate for improving wound healing due to its notable results in human trials, in which it has been directly applied as a dressing on wounds. The current review explores the mechanisms by which fish skin can boost the wound healing process. The natural wound healing process involves inflammation at the wound site to initiate tissue repair.

Regularity and wave study of an advection-diffusion-reaction equation.

In this paper, we investigate the optimal conditions to the boundaries where the unique existence of the solutions to an advection-diffusion-reaction equation is secured by applying the contraction mapping theorem from the study of fixed points. Also, we extract, traveling wave solutions of the underlying equation. To this purpose, a new extended direct algebraic method with traveling wave transformation has been used.