Abhishek Mishra

• M.TECH. MECHANICAL ENGG.
• Professor (Associate) at Manipal Academy of Higher Education

attributes (data quality, acceptability, predictive value positive, representativeness , timeliness and stability) from surveillance data collected between April-June 2019. We calculated proportions to evaluate all attributes. Results We interviewed 26 health care workers including medical officers, assistant medical officers, non-medical superviso...

The sub-threshold mobility in a lateral Ga <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> transistor is extracted by considering a distributed impedance model of the sub-threshold region. T...

Heterostructures of Ga[Formula: see text]O[Formula: see text] with other materials such as Si, SiC or diamond, are a possible way of addressing the low thermal conductivity and lack of p-type doping of Ga[Formula: see text]O[Formula: see text] for device applications, as well as of improving device reliability. In this work we study the electrical...

Integration of β-Ga 2 O 3 with high thermal conductivity materials such as diamond has been considered due to β-Ga 2 O 3 's low and anisotropic thermal conductivity, reaching only 27 W m –1 K –1 . However, the effect of crystallographic orientation on thermal interface resistance has not been studied extensively, which is relevant for potential dev...

With different nitrogen‐containing heterocyclic moieties, Indazoles earn one of the places among the top investigated molecules in medicinal research. Indazole, an important fused aromatic heterocyclic system containing benzene and pyrazole ring with a chemical formula of C7H6N2, is also called benzopyrazole. Indazoles consist of three tautomeric f...

Shear wall systems are one of the most commonly used lateral load resisting system in high rise residential buildings. They resist in-plane loads that are applied along its height, Shear wall has very high in plane stiffness and strength which could be used to simultaneously resist large horizontal loads and support vertical or gravity loads making...

The most suitable technique in order to increase the performance and the lateral stability of the RC Frame building situated in earthquake prone areas is the use of steel bracings. In this paper comparison of seismic behavior of G+15 multistoried building situated in zone 4 on medium soil has been carried out on 3 different models by installing dif...

In this paper seismic response of (G+15)R.C. framed building is analyses for seismic load case by using STAAD-Pro software as per IS1893:2002 part-1.This paper consider different seismic parameter like seismic zone(IV), response reduction factor(R), importance factor(I)& other parameters like rock/soil type, structure type, damping ratio etc. This...

The last decade has seen an explosion of machine learning (ML) applications in healthcare with mixed and sometimes harmful results, despite much promise and associated hype (Heaven, 2020). A significant reason for these reverses is the premature implementation of machine learning algorithms into clinical practice. In this paper we argue the critica...

Automation of processes through the use of industrial robots is a critical component of the transition to Industry 4.0. This paper aims to present the design of a biomedical robotic manipulator and attempt to simulate its trajectory in a virtual environment. The task of collecting samples for COVID-19 serves as a case study for the manipulator. Usi...

Parkinson's disease (PD) is associated with dopamine depletion in the striatum owing to the selective and progressive loss of the nigrostriatal dopaminergic neurons, which results in motor dysfunction and secondary clinical manifestations. The dopamine level in the striatum is preserved because of the innervation of the substantia nigra (SN) dopami...

Background Although advanced analytical techniques falling under the umbrella heading of artificial intelligence (AI) may improve health care, the use of AI in health raises safety and ethical concerns. There are currently no internationally recognized governance mechanisms (policies, ethical standards, evaluation, and regulation) for developing an...

The entitled research "Diversity of flowering crops (Bee flora) in MS Swaminathan School of Agriculture" was conducted at M. S. Swaminathan School of Agriculture in 2021 to analyze bee flora present inside the campus, excluding field crops, fruit crops, forest trees and non-floricultural horticultural plants. The present observation has concluded t...

: Skull base fractures are a major cause of morbidity and mortality in head injury. Anterior cranial Fossa (ACF) skull base fracture, leading to Cerebro Spinal Fluid (CSF) Rhinorrhea is one of the most commonly encountered presentation in ACF base fractures. The key to successful management of such cases lies in early diagnosis and surgical managem...

A catalytic synthetic strategy has been developed combining two protocols, such as, direct nucleophilic substitution of alcohols followed by X‐ to N‐ alkyl group migration (X=O, S) to access N‐functionalized benzoxazolones, benzothiazolethiones, indolinone, benzoimidazolethiones, and pyridinones derivatives. Methyl trifluoromethanesulfonate (MeOTf)...

Artificial Intelligence (AI) techniques are starting to be used in IVF, in particular for selecting which embryos to transfer to the woman. AI has the potential to process complex data sets, to be better at identifying subtle but important patterns, and to be more objective than humans when evaluating embryos. However, a current review of the liter...

The design space of Ga₂O₃-based devices is severely constrained due to its low thermal conductivity and absence of viable p-type dopants. In this work, we discuss the limits of operation of a novel Ga₂O₃-Al₂O₃-diamond-based super-junction device concept, which can alleviate the constraints associated with Ga₂O₃-based devices. The improvements achie...

Background: COVID -19 is the most important public health problem of recent time. Most people who have COVID-19 recovers completely within a few weeks but some people continue to have symptoms after initial recovery. Objective: To assess the prevalence of Post COVID symptoms, to assess requirement of treatment and to make recommendation for Post CO...

This paper presents NemFi: a trace-driven WiFi emulator. NemFi is a record-and-replay emulator that captures traces representing real WiFi conditions, and later replay these traces to reproduce the same conditions. In this paper, we demonstrate that the state-of-the-art emulator that was developed for cellular links cannot emulate WiFi conditions....

BACKGROUND Although advanced analytical techniques falling under the umbrella heading of artificial intelligence (AI) may improve health care, the use of AI in health raises safety and ethical concerns. There are currently no internationally recognized governance mechanisms (policies, ethical standards, evaluation, and regulation) for developing an...

A systematic framework for health care information exchange through blockchain based approaches. Ashutosh Dixit, Dr. Pankaj Richhariya, Abhishek Bhattacharya, Deepak Mane, Sweta Gupta, Dr. Amarnath Mishra, Prashant Richhariya, Ms. Madhuri Nigam, Dr. Vibha Thakur, Dr. Ishan Y Pandya. PAN: 202111019211 A . IPR, Govt. of India.

Despite the uniqueness of audiobook applications, their adoption remains a big challenge. The present study integrates the decomposed theory of planned behavior (DTPB) with switching cost theory (SCT) to examine the antecedents of consumer’s intention toward adopting audiobook applications. Structural equation modeling (SEM) was used to analyze the...

AI has the potential to revolutionize many areas of healthcare. Radiology, dermatology, and ophthalmology are some of the areas most likely to be impacted in the near future, and they have received significant attention from the broader research community. But AI techniques are now also starting to be used in in vitro fertilization (IVF), in partic...

Many are calling for concrete mechanisms of oversight for health research involving artificial intelligence (AI). In response, institutional review boards (IRBs) are being turned to as a familiar model of governance. Here, we examine the IRB model as a form of ethics oversight for health research that uses AI. We consider the model's origins, analy...

Background Tumor endothelial marker 1 (TEM1) is a protein expressed in the tumor-associated endothelium and/or stroma of various types of cancer. We previously demonstrated that immunization with a plasmid-DNA vaccine targeting TEM1 reduced tumor progression in three murine cancer models. Radiation therapy (RT) is an established cancer modality use...

Bluetooth has become critical as many IoT devices are arriving in the market. Most of the current literature focusing on Bluetooth simulation concentrates on the network protocols' performances and completely neglects the privacy protection recommendations introduced in the BLE standard. Indeed, privacy protection is one of the main issues handled...

The use of technology in the field of medical sciences has increased a lot since the last decade. Nowadays, you can see many technologies like computers and cameras used in medical sciences. They not only help in detecting the disease or the cause but also help in the curing process by maintaining records. The use of computers for image processing...

Human activity is always a reflection of its external environmental conditions. If a group of people is in some emergency, then their activities and behaviour will be different as compared to normal conditions. To detect an emergency, Human Activity Recognition (HAR) can play an important role. Human activities such as shouting, running here and th...

Neurodegenerative disorders are the state of body results in progressive degeneration leading to death of nerve cells. In this state, a patient gets affected day by day with mental weakness, dementia and ataxia. Alzheimer’s disease (AD) is the most common irreversible neurodegenerative brain disorder mainly affecting people over the age of 65 years...

the nucleation rate is the parameter to judge the effect of electric field on nucleation of water vapour and ice glaciation. In the presence of electric field the total nucleation is the sum of nucleation due to electric field and nucleation due to diffusion of water molecules. Thus we can say the nucleation rate is enhanced by the factor of RE. Th...

At this time the security of communication can be the important role of electronic communication. In this paper we can discuss the new transform for the protection of digital signals using with golden matrix. Fibonacci - Pell (FP) Transform can be find sufficient results to secure the signals and the aims of this paper to describe the security of s...

The advent of acceptor-type doping of β-Ga2O3 through ion-implantation of nitrogen has opened a new design space for junction-type devices with estimated breakdown voltages in excess of a few kVs. However, the presence of deep states due to intrinsic defects in β-Ga2O3 and implantation damage could be detrimental to the performance and reliability...

In the present work we will calculate the electrical conductivity of atmosphere. Generally earth’s atmosphere is about 480 km thick but most of it is within about 16 km. At different altitudes the meteorological conditions are different. In this work we will calculate the atmospheric electrical conductivity at different altitude.

INTRODUCTION Heel pain is a common foot and ankle complaint in the Orthopaedic OPD. Posterior heel pain occurs due to a handful of etiologies, more prominent of which is retrocalcaneal bursitis. Management of posterior heel pain in majority of the cases is non-operative. However, surgical intervention may be indicated if conservative therapies fail...

The application of the Elasto plastic-damage model is used to describe the ductile fracture model. Few parameters are responsible for ductile damage and its mechanism can be revealed by using Elasto plastic models. An overview of different models is described in this paper. Parameters responsible for high-stress triaxiality and low-stress triaxiali...

Primary pancreatic lymphoma (PPL) is an extremely rare disease, with few cases reported in literature. Clinical manifestations are usually nonspecific and mimic other pancreatic diseases. Owing to paucity of data and experience of PPL, clinico-pathological features, differential diagnosis, optimal treatment and overall outcomes are not well known....

Gravity fed drip irrigation techniques have been used in the small agricultural production as an advanced water saving irrigation method in recent times. However advantageous this method, there are still some difficulties in projecting the efficiency of such systems. Most especially, feasibility study of gravity drip irrigation for small scale farm...

Background: Mass gathering (MG) events are associated with public health risks. During 14 January-4 March 2019, Kumbh Mela in Prayagraj, India was attended by an estimated 120 million visitors. An on-site disease surveillance was established to identify and respond to disease outbreaks. Methods: A health coordination committee was established fo...

Digital revolution and advancement of information technologies, smart phone industry, multi-omic technologies, availability with 5G networks and emergence of big data era has greatly impacted on diagnostic, biomedical and e-healthcare sectors. Intelligent sensors, wearable, digital imaging, smart phone based diagnostic and connected networking prov...

This paper deals with the brush fault analysis in an Indian DC traction locomotive, monitoring the rectifier input current to the traction motor. The current input to the rectifier has been analysed using multi-resolution analysis of discrete wavelet transform-based statistical parameter analysis to identify the best fit solution for fault diagnosi...

With business enterprises resorting to different structural adjustments to align themselves with the dynamic economic scenario, the trend to hire non-regular workers has become a very common and the most sought after practice by the owners in present times. Non-regular workers are the most common victims of issues related to wage disparity, job ins...

Image Completion refers to the task of filling in the missing regions of an image and Image Extrapolation refers to the task of extending an image at its boundaries while keeping it coherent. Many recent works based on GAN have shown progress in addressing these problem statements but lack adaptability for these two cases, i.e. the neural network t...

In this paper, we consider the contention aware task scheduling problem on a grid topology of processors. By contention awareness, we mean that simultaneous communication on a link has to be serialized. To solve this problem, we propose several nature inspired metaheuristic algorithms: Simulated Annealing (SA), Genetic Algorithm (GA), Differential...

Crankshaft is one of the critical components for the effective and precise working of the internal combustion engine. In this paper a dynamic simulation is conducted on a crankshaft from a single cylinder 4- stroke petrol engine. A three-dimension model of petrol engine crankshaft is created using SOLID WORKS software. Finite element analysis is pe...

1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) exacerbates mitochondrial impairment and α-synuclein expression leading to Parkinsonism. Impaired mitochondria and over-expressed α-synuclein are degraded and eliminated via macroautophagy and chaperone-mediated autophagy. Owing to multiple properties, silymarin protects from oxidative stress–medi...

Pyrrole-based adsorbents were developed electrochemically using systems: (i) pyrrole-potassium bromide, (ii) pyrrole-KBr-an anionic surfactant sodium dodecyl sulfate, and (iii) pyrrole-KBr-NaDS-Prussian blue. Growth kinetics and morphological studies were carried out at different experimental conditions. The study revealed the formation of nanosize...

Abstract Introduction Nowadays, the most significant challenges in the stock market is to predict the stock prices. The stock price data represents a financial time series data which becomes more difficult to predict due to its characteristics and dynamic nature. Case description Support Vector Machines (SVM) and Artificial Neural Networks (ANN) ar...

Solar energy is one of the widely used non-conventional form of energy. photo voltaic panels generate electricity and heat by absorbing solar irradiation. The performance of solar panels depends on several factors like dust accumulation on the surface, solar cell temperature, angle of inclination etc., To perform the cleaning action efficiently a s...

Background: India recently launched Ayushman Bharat - National Health Protection Mission - an upgraded version of Rashtriya Swasthya Bima Yojna (RSBY), which is projected as world's largest public insurance scheme by numbers. The new scheme can certainly draw learning from the former (RSBY) to ensure better reach and success. RSBY has been extensi...

The objective of this work is eco-friendly synthesis of Carbon/Copper oxide nano composites (C/CuO nano composites) from the aqueous extract of Aristolochia bracteolata (ABLPAE) via response surface methodology (RSM). Here we optimized various parameters to find out the absorption maximum value using RSM technique. Then the synthesized C/CuO nano c...

This chapter explains how to use Scikit‐learn to split developers' training data into training and test sets, and how to create different types of machine learning models. It uses the Titanic and Iris datasets to illustrate different types of model‐building techniques. Scikit‐learn is a Python library that provides a number of features that are sui...

Amazon Machine Learning is a fully managed web service that allows one to create and deploy simple machine learning models without any programming. This chapter explains how to build, evaluate, and deploy machine learning solutions on the AWS cloud with Amazon Machine Learning. It explores some of the key concepts he/she will encounter while workin...

This chapter talks about what machine learning is, how machine learning systems are classified, and examples of real‐world applications of machine learning. It discusses some of the tools commonly used by data scientists to build machine learning solutions. Most machine learning scientists use one of two programming languages: Python or R. There ar...

This chapter explains some of the techniques that can be used to explore data, impute missing values, and engineer features. A number of sources of datasets can be used to create machine learning models. Some of the popular sources are the UCI machine learning repository, Kaggle.com, and AWS public datasets. The UCI machine learning repository is a...

This chapter explains how to create models using Google TensorFlow and use Amazon SageMaker to train and deploy these models. TensorFlow is typically used to create different types of artificial neural network models for classification and regression tasks. The chapter provides a high‐level summary of artificial neural networks to help one get the...

Amazon Lex is a fully managed web service that allows developers to create conversation interfaces that can support both voice and text. Using Amazon Lex they can leverage the power of the conversational engine that is used by Amazon Alexa to create chatbots in their own applications. This chapter describes some of the key concepts developers will...

This chapter explains how to use Scikit‐learn to evaluate the performance of the models developers have trained and techniques to select the values of hyperparameters that will result in an optimal model. The purpose of a linear regression model is to predict a continuous numeric value, such as a house price. In addition to obtaining visual measure...

Identity and access management (IAM) is a web service that allows developers to securely manage users, configure security credentials, set up password rotation policies, configure multifactor authentication, and control which AWS resources users can access. Using IAM, they can control who can access their AWS resources, what resources they can acce...

DynamoDB is Amazon's cloud‐based, highly scalable, redundant NoSQL database service. Using Amazon DynamoDB, developers can create database tables in the AWS cloud and read/write to these tables using a web‐based management console or the AWS CLI, or directly from their projects using one of the AWS SDKs. Amazon DynamoDB stores their data on fast SS...

This chapter explains how to use Amazon SageMaker to train and deploy machine learning models based on Scikit‐learn and built‐in algorithms. Amazon SageMaker Notebook Instances allow one to perform common data science tasks such as exploration and feature engineering with NumPy, Pandas, and Matplotlib. He/she can also use Amazon SageMaker notebook...

Amazon Comprehend is a fully managed web service that provides access to a deep‐learning–based Natural Language Processing and topic‐modeling engine that developers can use in their projects to analyze the content of text documents and implement features such as topic‐based classification, content‐based search, and customer sentiment analysis. The...

This chapter talks about the AWS global infrastructure. AWS physical infrastructure consists of a system of geographical regions, Availability Zones, and content distribution edge locations. Not all AWS services are available in every region. It also explains the different means by which developers can connect to AWS. An individual or application c...

AWS Lambda is extremely powerful, but it only works for developers if their code is in one of the supported languages and they do not need access to the underlying hardware that is executing the code. Some of the common use cases for AWS Lambda follow: serverless back end, triggers, maintenance, and streams. This chapter explains some of the key co...