Exploring the Renoprotective Potential of Bioactive Nutraceuticals in Chronic Kidney Disease Progression: A Narrative Review.

Chronic kidney disease (CKD) is a condition that is characterized by progressive loss of kidney function over time. A substantial increase in the burden of CKD is evident globally, attributed to multifactorial conditions like an expanding aging population, rising diabetes and hypertension rates, and more significant exposures to risk factors associated with the environment and lifestyle. Nutraceuticals are substances that are usually considered a food or an active part of a food that provides medical or health benefits, including the prevention and treatment of a disease.

Lead-Free CsAgBiCl Double Perovskite: Experimental and Theoretical Insights into the Self-Trapping for Optoelectronic Applications.

Lead-free double perovskites (DPs) will emerge as viable and environmentally safe substitutes for Pb-halide perovskites, demonstrating stability and nontoxicity if their optoelectronic property is greatly improved. Doping has been experimentally validated as a powerful tool for enhancing optoelectronic properties and concurrently reducing the defect state density in DP materials. Fundamental understanding of the optical properties of DPs, particularly the self-trapped exciton (STEs) dynamics, plays a critical role in a range of optoelectronic applications.

Household electricity consumption prediction using database combinations, ensemble and hybrid modeling techniques.

Household electricity consumption (HEC) is changing over time, depends on multiple factors, and leads to effects on the prediction accuracy of the model. The objective of this work is to propose a novel methodology for improving HEC prediction accuracy. This study uses two original datasets, namely questionnaire survey (QS) and monthly consumption (MC), which contain data from 225 consumers from Maharashtra, India.

Top 100 most cited articles on Patient Reported Experience Measures (PREM): insights and perspectives.

Purpose: Patient experience is fundamental to Patient-Centered Care (PCC). Although prior bibliometric research studies have focused on various aspects of PCC, a comprehensive analysis of PREM articles is required to understand its impact on the clinical practices. This study aims to analyze the top 100 most-cited PREM articles to examine the critical studies and related trends.

Evaluation of Complications Associated with Fixed Partial Denture: A Prospective Study.

Objective: To assess complications, survival rates, and patient-reported outcomes associated with fixed partial dentures (FPDs).

Methods: A cohort of 146 subjects, aged 18 and above, requiring FPD were recruited. Following comprehensive dental examinations, FPDs were fabricated.

Assessing the Impact of Dental Implant Length on Early Failure Rates: A Retrospective Analysis.

Introduction: The selection criteria of implant is very critical. Implant length determines the mechanics of osseointegration.

Objective: To investigate the influence of dental implant length on early failure rates, osseointegration success, peri-implant bone loss, and patient-reported outcomes.

What do we Know about Complex-Contrast Training? A Systematic Scoping Review.

Background: The complex-contrast training (CCT) method utilizes two exercises with different loads and movement velocities in a set-by-set fashion to induce multiple neuromuscular adaptations. The speculated primary mechanism involves the post-activation potentiation or post-activation performance enhancement (PAPE) of the muscles used during the heavy load (low velocity) exercise, thereby improving the performance of lower load (high velocity) exercise. However, no previous study has attempted to systematically synthesize the available evidence on CCT (e.

Prevalence and factors associated with the poor quality of sleep among Indian nurses.

Background: Nursing health workers deal with a variety of issues that may have an unfavorable influence on their capability to peaceful sleep. The consequences of poor quality of the sleep can lead to increased fatigue, decreased concentration, and a higher risk of medical and nursing errors. The purpose of this research study was to determine in the occurrence and associated factors for poor quality of the sleep among Indian nurses.

GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics.

The world today has made prescriptive analytics that uses data-driven insights to guide future actions. The distribution of data, however, differs depending on the scenario, making it difficult to interpret and comprehend the data efficiently. Different neural network models are used to solve this, taking inspiration from the complex network architecture in the human brain.

Insight into ion dynamics in a NaClO-doped polycaprolactone solid polymer electrolyte for solid state batteries.

Employing low polymers has fundamental limitations in providing the desirable ionic conductivity at ambient temperature due to the freezing of chain dynamics. The stiffening of polymer chains and the formation of highly ordered systems due to the crosslinks have influenced the ionic conductivity. Ionic conductivity of 1.

Charge Carrier Dynamics in Bandgap Modulated Covellite-CuS Nanostructures.

Copper Sulfide (CuS) semiconductors have garnered interest, but the effect of transition metal doping on charge carrier kinetics and bandgap remains unclear. In this study, the interactions between dopant atoms (Nickel, Cobalt, and Manganese) and the CuS lattice using spectroscopy and electrochemical analysis are explored. The findings show that sp-d exchange interactions between band electrons and the dopant ions, which replace Cu, are key to altering the material's properties.

Break From Digital Screen Using Digital Detox Program in Nursing Students.

This study evaluated the effectiveness of an 8-week digital detox program on digital screen use among 300 nursing students and explored associations between screen use and demographic variables. A one-group pretest posttest design was employed using the Social Media Addiction Scale Student Form. The digital detox program was implemented for 8 weeks.

Incentivizing green building technology: A financial perspective on sustainable development in India.

Future viability depends on ensuring a sustainable society because green energy methods may efficiently reduce greenhouse gas emissions. Nevertheless, stakeholders, consumers, and developers continue to be notably ignorant of the financial incentives connected to green technology. Moreover, there is still a dearth of studies on the range of financial incentives offered by different authorities in India.

Harnessing deep learning for detection of diabetic retinopathy in geriatric group using optical coherence tomography angiography-OCTA: A promising approach.

The prevalence of diabetic retinopathy (DR) among the geriatric population poses significant challenges for early detection and management. Optical Coherence Tomography Angiography (OCTA) combined with Deep Learning presents a promising avenue for improving diagnostic accuracy in this vulnerable demographic. In this method, we propose an innovative approach utilizing OCTA images and Deep Learning algorithms to detect diabetic retinopathy in geriatric patients.

Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data.

Background: The risk of cardiovascular disease (CVD) has traditionally been predicted via the assessment of carotid plaques. In the proposed study, AtheroEdge™ 3.0 (AtheroPoint™, Roseville, CA, USA) was designed to demonstrate how well the features obtained from carotid plaques determine the risk of CVD.

Effect of antibiotics on physical and physiological development of children under 5-A scoping review.

The scoping review aimed to investigate and compile the effects of antibiotics on children under the age of five's physiological development. A PubMed, CINAHL, and Medline online database search was conducted, and related studies were included in the databases to carry out a more detailed search of the available literature utilizing keywords like "Antibiotics in children's"; "Children under 5"; and "Physiological Development, Physical Development," as well as Boolean operators to generate papers pertinent which were correlating with the objective of the study. It is imperative to demonstrate that a comprehensive, wide-ranging, and exhaustive search was carried out.

The improved integrated Exponential Smoothing based CNN-LSTM algorithm to forecast the day ahead electricity price.

The deregulation of electricity market has led to the development of the short-term electricity market. The power generators and consumers can sell and purchase the electricity in the day ahead terms. The market clearing electricity price varies throughout the day due to the increase in the consumers bidding for electricity.

IoT-enabled effective real-time water quality monitoring method for aquaculture.

Aquaculture is growing industry from the perspective of sustainable food fulfillment and county's economic development. Technology oriented aquafarming is the solution for effective water quality monitoring and high yield production. Internet of Things (IoT) integrated aquaculture can cater to such requirements.

Association between mandibular prognathism and Matrilin-1, bone morphogenic protein, Tyr67Asn, homeobox protein hox-A2, Rho-GTPase activating protein, and genes in the Indian population.

Mandibular prognathism (MP) patients present with aesthetic concerns and functional issues, including difficulties in mastication and pronunciation. Studies revealed that mandibular prognathism had definitive Mendelian inheritance patterns. This study aimed to ascertain distinct genetic markers associated with mandibular prognathism in individuals of Indian descent, focusing on exploring the prevalent genetic variations associated with certain genes.

Real-time sign language detection: Empowering the disabled community.

Interaction and communication for normal human beings are easier than for a person with disabilities like speaking and hearing who may face communication problems with other people. Sign Language helps reduce this communication gap between a normal and disabled person. The prior solutions proposed using several deep learning techniques, such as Convolutional Neural Networks, Support Vector Machines, and K-Nearest Neighbors, have either demonstrated low accuracy or have not been implemented as real-time working systems.

Awareness of COPD in low-and middle-income countries and implications for treatment.

Introduction: COPD is the 3 leading cause of death worldwide, affecting an estimated 212.3 million people. More than 80% of this burden occurs in low- and middle-income countries.

Nexus between organizational citizenship behavior and psychological wellbeing: emotional intelligence as a pathway.

Aim/purpose: The aim of this study is to investigate the nexus between organizational citizenship behavior and psychological wellbeing and assess the moderating and mediating effects of emotional intelligence (EI) on the relationship betwem psychological wellbeing of IT-enabled Sector employees in Hyderabad.

Design/methodology/approach: To measure the study variables of organizational citizenship behavior (OCB) and emotional intelligence (EI) on psychological wellbeing (PWB) data were gathered using a questionnaire. The mediating and moderating effects of emotional intelligence on the relationship between organizational citizenship behavior and psychological wellbeing was also assessed.

Introducing AOD 4: A dataset for air borne object detection.

This paper introduces an airborne object dataset comprising 22,516 images categorizing four classes of airborne objects: airplanes, helicopters, drones, and birds. The dataset was compiled from YouTube-8 M, Anti-UAV, and Ahmed Mohsen's dataset hosted on Roboflow. Videos were sourced from the first two platforms and converted into individual frames, whereas the latter dataset already consisted of images.

The Potential of Mitochondrial Therapeutics in the Treatment of Oxidative Stress and Inflammation in Aging.

Mitochondria are central to cellular energy production, and their dysfunction is a major contributor to oxidative stress and chronic inflammation, pivotal factors in aging, and related diseases. With aging, mitochondrial efficiency declines, leading to an increase in ROS and persistent inflammatory responses. Therapeutic interventions targeting mitochondrial health show promise in mitigating these detrimental effects.