Real-time infectious disease endurance indicator system for scientific decisions using machine learning and rapid data processing.

The SARS-CoV-2 virus, which induces an acute respiratory illness commonly referred to as COVID-19, had been designated as a pandemic by the World Health Organization due to its highly infectious nature and the associated public health risks it poses globally. Identifying the critical factors for predicting mortality is essential for improving patient therapy. Unlike other data types, such as computed tomography scans, x-radiation, and ultrasounds, basic blood test results are widely accessible and can aid in predicting mortality.

Interplay of natural and anthropogenic inputs on the groundwater contamination of Beenaganj-Chachura block.

The present research work investigates the impact of natural and anthropogenic inputs on the chemistry and quality of the groundwater in the Beenaganj-Chachura block of Madhya Pradesh, India. A total of 50 groundwater samples were examined for nitrates, fluoride, chlorides, total dissolved solids, calcium, magnesium, pH, total hardness, and conductivity, and their impact on entropy-weighted water quality index and pollution index of groundwater (PIG) was investigated via the response surface methodology (RSM) using the central composite design. According to analytical findings, Ca, Mg, Cl, SO, and NO exceed the desired limit and permitted limit set by the Bureau of Indian Standards (BIS) and the World Health Organization (WHO).

Job Satisfaction and Occupational Burnout among Healthcare Professionals during the COVID-19 Pandemic: A Mixed-method Approach.

Chouhan VS. Job Satisfaction and Occupational Burnout among Healthcare Professionals during the COVID-19 Pandemic: A Mixed-method Approach. Indian J Crit Care Med 2023;27(10):776-777.

Cetrimonium bromide and potassium thiocyanate assisted post-vapor treatment approach to enhance power conversion efficiency and stability of FAPbI perovskite solar cells.

Formamidinium lead iodide (FAPbI) is the most promising perovskite material for producing efficient perovskite solar cells (PSCs). Here, we develop a facile method to obtain an α-phase FAPbI layer with passivated grain boundaries and weakened non-radiative recombination. For this aim, during the FAPbI fabrication process, cetrimonium bromide + 5% potassium thiocyanate (CTABr + 5% KSCN) vapor post-treatment is introduced to remove non-perovskite phases in the FAPbI layer.

Prediction of influencing atmospheric conditions for explosion Avoidance in fireworks manufacturing Industry-A network approach.

This research study uses Artificial Neural Networks (ANNs) to predict occupational accidents in Sivakasi firework industries. Atmospheric temperature, pressure and humidity are the causes of explosion during chemical mixing, drying, and pellet making. The Proposed ANN model predicts the accidents and the session of accidents (FN/AN) based on atmospheric conditions.

A Transformer-Based Model for Evaluation of Information Relevance in Online Social-Media: A Case Study of Covid-19 Media Posts.

Online social media has become a major source of information gathering for a huge section of society. As the amount of information flows in online social media is enormous but on the other hand, the fact-checking sources are limited. This shortfall of fact-checking gives birth to the problem of misinformation and disinformation in the case of the truthfulness of facts on online social media which can have serious effects on the wellbeing of society.

Pythagorean fuzzy entropy measure-based complex proportional assessment technique for solving multi-criteria healthcare waste treatment problem.

With the increasing risk to human health and environmental issues, the selection of appropriate management and treatment of healthcare waste has become a major problem, especially in developing countries. There are various alternatives to dispose of health care waste. The important is to assess the best alternative among them.

Classification of COVID-19 by using supervised optimized machine learning technique.

In recent two years, covid-19 diseases is the most harmful diseases in entire world. This disease increase the high mortality rate in several developed countries. Earlier identification of covid-19 symptoms can avoid the over illness or death.

Invasive weed optimization coupled biomass and product dynamics of tuning soybean husk towards lipolytic enzyme.

Waste to the product approach was proposed for tuning environ-threat soybean husk towards lipolytic enzyme by integrating the invasive weed optimization with biomass and product dynamics study. The invasive weed optimization constitutes based on the non-linear regression model results in a 47 % enhancement in lipolytic enzyme using the optimization parameters of 7% Sigma Final, 9% exponent; S of 5 with a population size of 35 and Max. generations of 99.

Small and medium-sized enterprises' contribution in digital technology.

Researchers have mentioned the importance of digitization in improving efficiency and productivity in Small and Medium Enterprises (SME). Fortunately, there is no proof that Digitization can be used to deal with the outcome of severe incidents like COVID-19. The research paper suggested that the increased rate of SMEs has increased significantly.

COVID-19 pandemic: An analysis of popular YouTube videos as an alternative health information platform.

Dispersal of COVID-19 related information from YouTube plays a vital role in containing the pandemic and diminishes associated anxiety in the population. This study investigated the characteristics of popular YouTube videos related to COVID-19 outbreak. YouTube videos were searched using the COVID-19 related specific keywords with the eligibility of at least 1 million views.

Experimental analysis of double slope solar still augmented with dye, pebbles and metal chips.

Double slope solar stills are reported to give lower yields in winter season. In this work an attempt has been made to improve the performance of still with double slope in winter. A comparative experimental and theoretical analysis of conventional and modified single basin still with double slope augmented with black dye, pebbles and iron chips (5 kg each) is reported in this manuscript.

Ensuring Elderly Well-Being During COVID-19 by Using the Internet of Things.

Coronavirus disease (COVID-19) cases continue to surge, and the world must learn from this disaster. Most of the world economies are shattered due to this pandemic. The development of infrastructure to counter such deadly viral attacks in the future is the wisest investment that can be made.

Image Encryption Method Using New Concept of Compound Blood Transfusion Rule with Multiple Chaotic Maps.

Introduction: With the advancement in internet technology, a large amount of information in the form of data and image is transferred from one end to the other. The information may be military, defense, medical, etc. which should be kept confidential by providing security.

Promoting Trustless Computation Through Blockchain Technology.

Records, irrespective of their nature (whether electronic or paper-based), are vulnerable to fraud. People's hard-earned money, their personal information, identity, and health are at a higher risk than ever due to the misuse of technology in doing forgery. However, the technology can also be used as an answer to counteracting against fraudulence prevalent in affairs from every walk of life.

Design and Analysis of Customized Fixation Plate for Femoral Shaft.

Background: In the recent years, several techniques have been used to treat femur diaphyseal fracture. Among all the traditional fixation techniques, unstable fixation remains the biggest challenge for orthopedists. Researchers have recommended new approaches to deal with diaphyseal femur fracture.

Engineering aspects of immobilized lipases on esterification: A special emphasis of crowding, confinement and diffusion effects.

Cross-linked enzyme crystal (CLEC) and sol-gel entrapped pseudomonas sp. lipase were investigated for the esterification of lauric acid with ethanol by considering the effects of reaction conditions on reaction rate. The activation energy for the reaction was estimated to be 1097.

Homotopy perturbation method with Laplace Transform (LT-HPM) for solving Lane-Emden type differential equations (LETDEs).

In this communication, we describe the Homotopy Perturbation Method with Laplace Transform (LT-HPM), which is used to solve the Lane-Emden type differential equations. It's very difficult to solve numerically the Lane-Emden types of the differential equation. Here we implemented this method for two linear homogeneous, two linear nonhomogeneous, and four nonlinear homogeneous Lane-Emden type differential equations and use their appropriate comparisons with exact solutions.

An adaptive window length strategy for eukaryotic CDS prediction.

Signal processing-based algorithms for identification of coding sequences (CDS) in eukaryotes are non-data driven and exploit the presence of three-base periodicity in these regions for their detection. Three-base periodicity is commonly detected using short time Fourier transform (STFT) that uses a window function of fixed length. As the length of the protein coding and noncoding regions varies widely, the identification accuracy of STFT-based algorithms is poor.