Triazole scaffold-based DPP-IV Inhibitors for the management of Type-II Diabetes Mellitus: Insight into Molecular Docking and SAR.

Diabetes mellitus, characterized as a chronic metabolic disorder or a polygenic syndrome; is increasing at a very fast pace among every group of the population worldwide. It arises due to the inability of the body to produce enough insulin (the hormone responsible for controlling blood sugar levels) or inability to utilize the insulin, leading to hyperglycaemic condition, which, if left uncontrolled gives rise to chronic microvascular and macrovascular complications like retinopathy, neuropathy, nephropathy, coronary artery disease, cognitive impairment, etc. Several therapeutic approaches are available for the treatment of diabetes; among which dipeptidyl peptidase (DPP-IV) inhibitors (gliptins) hold a significant place.

Development of sustainable alkali activated composite incorporated with sugarcane bagasse ash and polyvinyl alcohol fibers.

The infrastructure boom has driven up cement demand to 30 billion tons annually. To address this and promote sustainable construction, researchers are developing solutions for carbon-neutral building practices, aiming to transform industrial waste into an eco-friendly alternative. This study aims to develop and enhance the mechanical and durability properties of alkali-activated composites (AACs) by incorporating varying amounts (5, 10, 15, and 20%) of finely ground bagasse ash (GBA) and polyvinyl alcohol (PVA) fibers.

Clinical and Functional Outcomes of Platelet-Rich Plasma Injection and Corticosteroid Injection in Patients With De Quervain's Tenosynovitis: A Comparative Retrospective Study.

Background and aim De Quervain's tenosynovitis (DQST) is a prevalent condition involving tendon inflammation in the wrist. This study compares the clinical and functional outcomes between patients receiving platelet-rich plasma (PRP) injections and those receiving corticosteroid injections for DQST. Methods A retrospective study conducted at Sri Devaraj Urs Academy of Higher Education and Research, Kolar, India, included 58 patients with DQST, divided into Group A (PRP injection) and Group B (corticosteroid injection).

Perception and Disposal Practices of Toddler Feces by Mothers in Suburban Area of Kendari, Indonesia.

Unsafe child feces disposal (CFD) is another form of open defecation and can pose a risk of disease in children. More than 30% of Indonesian households practice unsafe CFD, yet, its determinants are unknown. This study aims to identify the contextual and behavioral determinants of CFD through the lens of the Risk, Attitude, Norm, Ability, and Self-regulation (RANAS) framework.

Journey of medication reconciliation compliance in a lower middle-income country: a retrospective chart review.

Objective: There were three main objectives of the study: to determine the overall compliance of medication reconciliation over 4 years in a tertiary care hospital, to compare the medication reconciliation compliance between paper entry (initial assessment forms) and computerised physician order entry (CPOE), and to identify the discrepancies between the medication history taken by the physician at the time of admission and those collected by the pharmacist within 24 hours of admission.

Methods: This study was conducted at a tertiary care hospital in a lower middle-income country. Data were gathered from two different sources.

Role of zinc in chronic telogen effluvium in serum and hair of patients with alopecia.

Objectives: To determine the levels of zinc in hair and serum samples of chronic telogen effluvium patients.

Methods: The case-control study was conducted at the Dow University of Health Sciences, Karachi, from April 2017 to May 2018, and comprised diagnosed cases of chronic telogen effluvium in group A, and healthy controls matched for age and gender in group B. Hair pull test was done, and level of zinc in hair and serum samples was determined using atomic absorption spectrophotometer.

Does Zoledronic Acid Provide a Good Clinical Outcome in Patients With Chronic Back Pain Associated With Vertebral Osteoporosis?

Background Osteoporosis is a chronic, progressive, systemic condition of the skeletal tissue that is characterized by reduced bone density, microarchitecture deterioration, and fragile bones, making osteoporotic fractures or fragility fractures more likely to occur. This condition often remains asymptomatic and undiagnosed until it presents with fragility fractures. The condition is associated with a significant socioeconomic burden with disability, morbidity, and mortality.

In-Depth Analysis of Cement-Based Material Incorporating Metakaolin Using Individual and Ensemble Machine Learning Approaches.

In recent decades, a variety of organizational sectors have demanded and researched green structural materials. Concrete is the most extensively used manmade material. Given the adverse environmental effect of cement manufacturing, research has focused on minimizing environmental impact and cement-based product costs.

Evaluating the Strength and Impact of Raw Ingredients of Cement Mortar Incorporating Waste Glass Powder Using Machine Learning and SHapley Additive ExPlanations (SHAP) Methods.

This research employed machine learning (ML) and SHapley Additive ExPlanations (SHAP) methods to assess the strength and impact of raw ingredients of cement mortar (CM) incorporated with waste glass powder (WGP). The data required for this study were generated using an experimental approach. Two ML methods were employed, i.

Compressive Strength Estimation of Steel-Fiber-Reinforced Concrete and Raw Material Interactions Using Advanced Algorithms.

Steel-fiber-reinforced concrete (SFRC) has been introduced as an effective alternative to conventional concrete in the construction sector. The incorporation of steel fibers into concrete provides a bridging mechanism to arrest cracks, improve the post-cracking behavior of concrete, and transfer stresses in concrete. Artificial intelligence (AI) approaches are in use nowadays to predict concrete properties to conserve time and money in the construction industry.

Use of Artificial Intelligence for Predicting Parameters of Sustainable Concrete and Raw Ingredient Effects and Interactions.

Incorporating waste material, such as recycled coarse aggregate concrete (RCAC), into construction material can reduce environmental pollution. It is also well-known that the inferior properties of recycled aggregates (RAs), when incorporated into concrete, can impact its mechanical properties, and it is necessary to evaluate the optimal performance. Accordingly, artificial intelligence has been used recently to evaluate the performance of concrete compressive behaviour for different types of construction material.

Association of promoter region A-1012G polymorphism (rs4516035) of vitamin-D receptor gene with coronary artery disease.

Objective: To investigate the correlation of Adenine-1012-Guanine (rs4516035) promoter region polymorphism of vitamin-D receptor gene with serum levels of omentin-1, vitamin-D and vitamin-D receptor protein in patients with coronary artery disease.

Methods: The case-control study was conducted from January to June 2020 at the cardiac unit of Civil hospital Karachi (CHK), and comprised coronary artery disease patients and controls. The tetra-primer amplification refractory mutation system polymerase chain reaction method was used to genotype Adenine-1210Guanine polymorphism in the vitamin D receptor gene.

Assessment of Artificial Intelligence Strategies to Estimate the Strength of Geopolymer Composites and Influence of Input Parameters.

Geopolymers might be the superlative alternative to conventional cement because it is produced from aluminosilicate-rich waste sources to eliminate the issues associated with its manufacture and use. Geopolymer composites (GPCs) are gaining popularity, and their research is expanding. However, casting, curing, and testing specimens requires significant effort, price, and time.

Nano-Silica-Modified Concrete: A Bibliographic Analysis and Comprehensive Review of Material Properties.

Several review studies have been performed on nano-silica-modified concrete, but this study adopted a new method based on scientometric analysis for the keywords' assessment in the current research area. A scientometric analysis can deal with vast bibliometric data using a software tool to evaluate the diverse features of the literature. Typical review studies are limited in their ability to comprehensively and accurately link divergent areas of the literature.

Split Tensile Strength Prediction of Recycled Aggregate-Based Sustainable Concrete Using Artificial Intelligence Methods.

Sustainable concrete is gaining in popularity as a result of research into waste materials, such as recycled aggregate (RA). This strategy not only protects the environment, but also meets the demand for concrete materials. Using advanced artificial intelligence (AI) approaches, this study anticipates the split tensile strength (STS) of concrete samples incorporating RA.

Exploring the Use of Waste Marble Powder in Concrete and Predicting Its Strength with Different Advanced Algorithms.

Recently, the high demand for marble stones has progressed in the construction industry, ultimately resulting in waste marble production. Thus, environmental degradation is unavoidable because of waste generated from quarry drilling, cutting, and blasting methods. Marble waste is produced in an enormous amount in the form of odd blocks and unwanted rock fragments.

Comparative Study of Experimental and Modeling of Fly Ash-Based Concrete.

The application of supplementary cementitious materials (SCMs) in concrete has been reported as the sustainable approach toward the appropriate development. This research aims to compare the result of compressive strength (C-S) obtained from the experimental method and results estimated by employing the various modeling techniques for the fly-ash-based concrete. Although this study covers two aspects, an experimental approach and modeling techniques for predictions, the emphasis of this research is on the application of modeling methods.

Revisited: A Product of Planned Disinformation Amplifying the COVID-19 "infodemic".

During the first few months of the COVID-19 pandemic, a 26-min documentary entitled was released online and fanatically shared Twitter and other major social media platforms. The producers of the documentary sought to spread misinformation and conspiracy theories and to discredit scientific experts using a sophisticated disinformation campaign. They set out to accomplish this by coaching citizens toward activism to maximize the speed at which the documentary propagated and decrease positive sentiments toward public health interventions.

Transfer of metal element in soil plant chicken food chain: health risk assessment.

This investigation was done for the assurance of potassium amassing in four assortments of maize (grains, shoot and root), soil, and water and in seven tissues of chickens (kidney, liver, heart, bone, gizzard, breast meat). The analysis of variance showed significant differences for potassium concentration in water in all sources of water; however, the season and variety significantly influenced the quantity of potassium in cereals. The corn varieties MMRI, Sadaf, and Pearl behaved differently when treated with water from various sources.

Evaluation of transfer of lead in soil plant animal system: assessment of consequences of its toxicity.

The instant endeavor was undertaken for determination of lead (Pb) in water, soil, forage, and cow's blood domesticated in contaminated area of heavy automobiles' exhaust in Sahiwal town of District Sargodha, Pakistan. Water samples showed that the concentration of Pb ranged from 1.14 to 0.