bluuebunny/crossref_metadata_2025 huggingface dataset:
Iron Deficiency Anemia in Pregnancy
Authors: Sharma Shubhi , Gade Shubhada , Kalambe Minal , Gawande Ujwalla
Published: April 2022

This article examines the effects of maternal anemia and iron deficiency on pregnancy outcomes. The effects of iron supplementation on the health of the mother and her baby during pregnancy and after childbirth are still well understood. Anemia is a common problem in childbirth and maternity care. True anemia is defined as a hemoglobin level below 10.5 g/dL, excluding the age of pregnancy. Malnutrition, viral and bacterial infections, and congenital red cell illnesses like Thalassemia are the most common causes of anaemia during pregnancy. In pregnant women, iron deficiency is a prevalent cause of anaemia. Eliminated iron reserves, iron-free erythropoiesis without anaemia, and iron deficiency anaemia, which is the most common form of iron shortage, are the stages of iron insufficiency. Conclusion: Iron supplements should be given in the most efficient way. Oral metal formulas are widely used due to their performance and low cost. Parental therapy should only be used in the treatment of reasonable and severe anaemia when quick iron rehabilitation is required. The World Health Assembly has proposed the goal of reducing maternal anaemia by 5025 by 2025, and the U.S. Global Health Effort's Feed the Future has focused on maternal blood loss as a major concern.
Fabrication of Polyaniline Structures for Enhanced Supercapacitance: Effect of PANI Morphologies
Authors: Singh Gyan , Kumar Yogesh , Husain Samina
Published: April 2022

This work is conducted with the aim to see the effect of Polyaniline (PANI) morphologies on the specific capacitance of the electrode material. The paper presents a low-temperature synthesis and electrochemical analysis of PANI morphologies (granular, pebbles, spheres, tubes, flakes, and fibers). The supercapacitive behavior of all fabricated electrodes was tested via a two-electrode setup in 0.1 M H2SO4 electrolyte. The electrochemical analysis showed that amongst all the PANI morphologies, nanofibers had the highest specific capacitance (752.27 Fg-1), a good energy density (66.86 Whkg-1), and a good retention rate (40%). The reason may be attributed to a larger π-π stacking interaction with maximum d-spacing (3.52 Aº) that gives a desirable contact surface area for the electrolyte ions to transport efficiently across the electrolyte. Also, it has a low value of Rb (4.67 W), Rct (0.56 W), a good (251 Hz), a very less relaxation time (0.0039s), and a high knee frequency value (825.2 Hz). PANI fibers can prove to be an effective electrode material that could enhance the specific capacity of the electrode at the same time is economical and environmentally friendly.
Shoulder Surfing Attack Trusted Verification – A Survey
Authors: K Valarmathi , S Hemalatha , P Perumal , D Puthilibai , M Abirami
Published: April 2022

Individual performance such as select a mistaken code word or inflowing a code word in an unsure of yourself manner result in the easiest linkage in authentication. An invader is able to harm the hardware, software, or information by exploiting the weakest link. As a result, our goal is to give a elegant method for users to validate their bank accounts. In computer or IT security, authentication-based passwords are used. As an alternative of using alphanumeric as a code word, the user is able to choose to use an image as a password. The customer is capable of depicting the shoulder surfing attack using the mobile application. Passwords can be observed by attackers using spyware or shoulder surfing. To solve the problem, the Pass Matrix authentication system is proposed, which is based on graphical passwords and can withstand a shoulder surfing attack. Pass Matrix does not provide any suggestion or stature, still when conducting camera-based attacks, through a just the once suitable login display and navigation button cover the whole range of pass-image. As a result, the future system outperforms the competition in provisos of shoulder surfing resistance.
Study on Performance Analysis of a Solar Air Heater with Aerofoil Shaped Rib Roughness Using CFD
Authors: Mishra Arin , Mehrotra Aman , Prabu S. Senthur
Published: April 2022

Present study investigates the heat transfer, friction factor and fluid flow characteristics of fully developed turbulent flow in a rectangular duct of solar air heater having aerofoil shaped rib-roughness on underside of absorber plate. ANSYS 14.5 has been used to simulate air flow through roughened air heater duct. Effect of relative roughness height and roughness pitch on Nusselt number and friction factor of roughened duct have been investigated and compared with that of smooth duct. It is found that the Nusselt number improves by attaching the roughness. Maximum enhancement in Nusselt number has been found to be 3.15 times over the smooth duct for rib roughness pitch P=15 mm, rib height e=7 mm, relative roughness height e/Dh=0.128, and aspect ratio of duct W/H=10. It is observed that the thermo-hydraulic performance parameter for roughened duct is greater than that obtained for smooth duct.
The Impact of Academic Technology on Sustainable Academic Operations - a Review and Conceptualization
Authors: S Savitha , John Monoo , R Balakrishna , C Nataraju
Published: April 2022

Education is continuously transforming with expansion and intervention of technology in the teaching learning pedagogy of HEI’s and Universities. The purpose of this study to assess the impacts of Academic Technology on sustainable academic operations, enhancing the prior reviews of the literature extending the perception from what Academic Technology do in pursuit on academic operations to support faculty and students in higher education institutions and universities. The ‘new normal’ in the academic arena would be a judicious choice of blended, hybrid model that combines the power of technology with the right physical deliveries - a Phygital model (Digital and Face-to-Face), to serve the needs of all stakeholders. The conception of this paper is to support the HEIs and Universities on sustainable academic operations by using the current digital platforms with the enhanced and expanded on-going ICT-based educational initiatives to meet the current and future challenges in providing quality education for all. [5]
A Review on Various Types of Clinical Thermometers with Respect to Technological Advancements, Pros and Cons, and Accuracy as Crucial Diagnostic Devices
Authors: Shrivas Yogita
Published: April 2022

Clinical thermometers are considered to bethe most important diagnostic devices in diagnosis of any febrile disorders. The last two decades have witnessed major changes in the clinical thermometry technology after the introduction of various types of modified thermometer for convenient diagnosis. Mercury thermometer stands up as the gold standard method for assessment of body temperature, but they are gradually getting replaced with newer devices that not only offer faster readings but inconvenience to the patients is also minimalized. This review focuses on accuracy, pros and cons of gold standard mercury-in-glass thermometer, and also various technologically advanced thermometers like electronic digital thermometer, tympanic thermometer, non-contact infrared thermometer, liquid crystal skin thermometer, pacifier thermometer, and smart thermometer. Various studies suggest that different factors can cause variation in the accuracy provided by such devices, like physical barriers, and calibration, including the manner in which they are used. The review does not conclude that a particular clinical thermometer has better accuracy and reliability than the other. Rather, there were contradictory findings for all of the clinical thermometers evaluated.
Design of 32x32 Reversible Unsigned Multiplier Using Dadda Tree Algorithm
Authors: Durgam Veena , Ragini Dr. K
Published: April 2022

Multipliers are essential parts of every processor or computer. Microcontrollers and digital signal processors typically measure their performance on how many multiplications they can execute in a given amount of time. As a result, better multiplier designs are sure to increase system efficiency. A reversible Dadda multiplier is one such possible approach. The Dadda tree technique is used to construct two 32x32 reversible unsigned multipliers in this paper. The TG and FG gates are accustomed to create the partial product circuit in the first design. The PG and TG are utilized to create a partial product circuit in the second design. For adding partial products, the PG and reversible full adder gates are used. The design is implemented using Xilinx ISE 14.7 design suite.
Assessment of Scientific Publications on Platform Switched Implant Designs Using Bibliometric Analysis
Authors: Kale Bhairavi , Oza Ranu , Jadhav Vikrant V.
Published: April 2022

Ongoing research in the dental specialty, especially implant dentistry, is opening a new horizon. Its improving the survival rate and predictability. It is mainly because of improvement and modifications in the design of dental implant, technique of surgical procedure, and materials. However still, occurrence of implant failure is common and is a matter of concern. Osseointegration failure is possibly because of poor oral health and can be attributed to quality of surrounding bone. Predictability of dental implant is favored by implant design, equal force of dissipation at bone-implant bone contact. Hence, Platform Switched Implants came in picture to make the outcomes predictable. The aim of this bibliometric analysis was to provide summaries of countries, universities, authors, journals, and research data related to platform switched endosseous dental implants. Methodology: This retrospective observational study included online access to Scopus database through login into the Scopus website followed by affiliation search. The results obtained were then was exported. It was exported as “bibtex file.” This focuses on the preservation of the optimal crestal bone for the increased term survival of the endosseous dental implants. Conclusion: Within the limitations of the studies, referred from the span of 10 years (2011-2021) of platform switch implants, showed a significant improvement in crestal bone levels and its maintenance as compared to platform matching abutments. This helps clinician a better understanding of survival rate of dental implants.
A Demonstration of Potential Role of Golden Ratio in Product Design Applications
Authors: Singh Simranjeet , Kaushal Rajesh Kumar , Kumar Naveen
Published: April 2022

The product design related evolutionary transformations are strongly linked to the different geometrical dimensions. The natural process of evolution of life forms on Earth provides a blueprint for improvements in design dimensions of products. It took thousands and thousands of years for various biological varieties of plants and animals to evolve into their current form through the process of natural selection. During this long transition period, many biological species have developed a variety of geometrical shapes, inside and outside their bodies. However, there are certain geometrical patterns, which occur more repeatedly in the living creatures like plants and animals. The repeated appearance of golden ratio in a lot of life forms is evidence of its recognition by nature, in the process of evolution. The present work derives the motivation from occurrences of such mathematically defined graphics, especially the golden ratio. As an investigation, a simulation of crane hook has been created under the static stress. Two 3D models of hook have been created using Solidworks design software. One model is prepared as per the standard pre-existing proportions, and another being designed using the “golden ratio-based geometry.” Both models have been tested for “Maximum von mises stress,” under the application of same level of external pressures and forces. Stress distribution pattern in two designs were observed and compared for examining any possible significance of direct utilization of golden ratio in this product design application.
Enhancement of Internet of Things to Connecting People and Appliances Using IoE
Authors: S Hemalatha , J.K Periasamy , C Priya , C Vivek , Madan Suman
Published: April 2022

The term IoE is called an Internet of Everything (IoE), which is a phrase with the aim of refers to internet-connected computers and consumer electronics that are equipped with advanced digital applications. It is a concept that the future of technology will be made up of a variety of appliances, gadgets, and devices all linked to the internet. The Internet of Everything (IoE) is predicated on the notion that the internet will become more ubiquitous in the future. As in the past, connectivity is not for control to laptops, desktop computers, in addition to a few decades devices. Instead, machines will grow smarter as a result of greater data access and networking possibilities. Everything on the internet is utilized as fog computing and cyber security. This article describes the IoE technology, which connecting people and their home appliances through an application to facilitate be attached to a portable cell phone appliance and the idea of facial recognition, as an example in which the face may be identified and taken to the identification when the person enters the home and uses the camera. The Global Positioning System (GPS) installed in the applications may be used to track this behavior while in theft.
Improving the Bioactivity of Hydroxyapatite Through Strontium Substitution and Forming a Composite with Graphitic Carbon Nitride
Authors: A. Saranya
Published: April 2022

To overcome the limitations of hydroxyapatite, such as low mechanical strength, inappropriate degradation rate, and poor biological response with respect to bone apatite and growing interest on Sr doped hydroxyapatite, due to the advanced bone recovery and improved bioactivity of Sr and the non-toxic, graphitic carbon nitride (GCN) towards the biomedical applications, the present work focuses on synthesis of HAP/GCN and Sr-HAP/GCN composites by chemical precipitation followed by the hydrothermal treatment. The characteristic properties of these composites were evaluated using scanning electron microscopy, X-ray diffraction measurements, and Fourier transform infrared spectroscopy. The bioactivity of HAP/GCN and Sr-HAP/GCN composites was evaluated by immersing them in simulated body fluid (SBF) at 37 ± 1°C for 14 days and the extent of formation of apatite on their surface is observed using optical microscope. When compared to HAP, HAP/GCN, and Sr-HAP/GCN, exhibit better bioactivity and among them Sr-HAP/GCN is promising for biomedical applications.
COVID-19 and Diabetes Mellitus: A Systematic Review on the Recent Situation
Authors: Vaidya Shivani
Published: April 2022

COVID-19 (Coronavirus) is a recently acknowledged disease. Corona is spreading quickly in the whole world, in at least 185 countries. Many cases are from China. COVID-19 causes many death and abnormalities. Mortality rate in the COVID-19 patient is low (1.4-2.3), but in diabetic patients with poor immune system, this a severe co-morbidity, so mortality rate is high in diabetic patients with COVID-19. The aim of this study is to sum up the confirmation about COVID-19 and diabetes mellitus breakout all over a meta-analysis and systematic review. Methods: A writing analysis was applied within detail of Scopus Pubmed, Direct Science, and Science related network. Monitoring analysis, studies of case series, and case reports on the diabetes mellitus in COVID-19 were involved. Result: Some studies recommended there are no notable differences in symptoms between diabetes mellitus with COVID-19 and non-diabetic corona patients. In this patient, acute respiratory distress syndrome prognosis is poor. Death chances increase with age and seriousness of disease. Those people survive ARS. Conclusion: The analysis and the data of this study convey such determinant condition of diabetes mellitus, which shows the high rate of mortality and severity among the patient who are suffering from COVID-19. This article also provides us guidelines and criteria regarding diagnosis that can be convenient in the treatment and prevention of medical condition of the patient who is suffering from diabetes mellitus and COVID-19.
Towards Applicability of Artificial Intelligence in Healthcare, Banking and Education Sector
Authors: Thommandru Abhishek , Mutkule Prasad , Bandi Ashalatha , Tongkachok Korakod
Published: April 2022

Machine learning is the result of a combination of computational and artificial intelligence. They use the human mind as a model to construct intelligent computers capable of solving real-world problems. It encompasses neuro computing, fuzzy logic, and genetic computing for the creation and deployment of intelligent instruments. Genetic algorithms, belief networks, and learning theory are also included in the probabilistic reasoning. Medical and genetic data classification is a fundamental problem in biomedical informatics. Small medical data categorization may be used to forecast a patient's illness state. Feature extraction or feature selection techniques may be used to minimize the size of feature sets, and then the smaller sets can be classified using effective classifiers. Using educational data mining, it is possible to predict student performance and identify pupils at risk. Using educational data mining, students' learning habits can be analyzed, growing pass rates can be boosted, and topic curriculum renewal may be maximized.. It is feasible to employ machine learning in banking for a wide range of purposes including fraud detection and improving client happiness. In this papar, we'll take a look at how machine learning is being used in the healthcare, education, and banking industries.
Intelligent Compression Scheme for Securing Storage Preservation in Virtualized Hybrid Cloud
Authors: Vianny Maria Manuel , Vempati Srinivasareddy , Pazhanivel K. , Khasim Syed
Published: April 2022

Cloud computing is one of the most important tasks that will lead to a more productive stage. This means that most of the important cloud computing issues have been resolved to a lesser or greater extent, and sky has become a big demand across the entire commercial operation. However, the data security permissions you can still avoid and that many users on how to transfer data to an external storage device. Client-side data compression, in particular, allows multiple transfers of the same content, but exhausting network bandwidth and storage capacity per download. Compression is actively used by a number of cloud backup services, as well as various services in the cloud. Unfortunately, encrypted data is fake and may therefore not be redundant. As a result, legislation will completely give away either security or storage efficiency.
Prevalence of Post-COVID Symptoms in General Population of Vidarbha Region
Authors: Balwir Dr. Trupti , Gajbe Dr. Ujwal , Anjankar Dr. Sumedha , Gawali Dr. Rohan , Chakole Dr. Vivek
Published: April 2022

Coronavirus-2 (SARC COV-2), which causes virus disease since December 2019, proves fatal to human life. Patients of coronavirus disease present with mild to severe symptoms related mostly with respiratory tract. Coronavirus affects the human life as even after complete recovery from the symptoms. Some symptoms persist or some new symptoms appeared in patients. Apart from the lungs, the coronavirus has affected multiple organs. Thus results in high mortality in patients with co-morbidity. But those who recovered they are also not perfectly fit to become asymptomatic. In the present study, 100 patients (56 males and 44 females) were taken from the general population of Vidarbha region who recovered from coronavirus disease. Patients were monitored after one month of their recovery and followed for three months to see for any new symptoms or for their persistence of symptoms. They were provided with a properly framed questionnaire to know about their post-COVID symptoms. In this study, it is seen that males were more affected than females. Patients irrespective of sex developed new symptoms after COVID. Some patients showed persistence of their symptoms. About 25% of females between 40-70 years of age had persistent body ache, whereas 20% of males between 40-70 years developed breathlessness. Body ache, malaise, and headache are prominent symptoms in all sexes. Other unusual symptoms appeared in all sexes, such as hair loss, constipation, and loss of concentration.
Hirshfeld Surface Analysis, DFT Calculations And Molecular Docking Studies Of 2-Amino-N-(2-Fluorophenyl)-4,5,6,7-Tetrahydro-1-Benzothiophene-3-Carboxamide
Authors: TK Madhura , BM Rajesh , K Chandra Kumar , S Shubha , . Chandra
Published: April 2022

Thiophene is a heterocyclic compound having pharmacological properties. In medicine, its derivates shows anti-HIV and anti-cancer activities. Benzothiophene derivatives exhibits various biological activities like antibacterial and antifungal characteristics. Intermolecular interactions were studied using the Hirshfeld surface analysis and it shows that H-H contacts have 47.3% and H-C contacts have 16.3% contribution. In addition, the molecular structure was optimized using density functional theory with B3LYP hybrid functional method. The UV-Visible spectrum shows strong absorption peak at 306.0 nm. NBO analysis reveals inter and intra molecular hydrogen bonding and hyperconjugative interactions accountable for the stability of molecular structure. The molecular docking studies were performed using AutoDock 4.2 tool. The ligand molecule (1a) docked with protein target 3FDN having binding energy of -07.2 kJ per mol with a ligand efficiency of -0.36.
Remediation of Lead Ions from Wastewater Using Magnetic Iron Oxide Nanoadsorbents – A Review
Authors: PS Subana , R Suresh , R Hari Krishna , Meda Ujwal Shreenag , MP Sham Aan , C Manjunatha
Published: April 2022

Heavy metal ions removal is a prime concern for pure water and good human health. Lead is one of the most worrisome heavy metal ions. Exposure to lead at trace levels induces neurotoxicity, brain damage, microcytic anemia, kidney damage, hypertension, and toxicity to reproductive organs, and premature birth, miscarriage, and stillbirth for pregnant women. Main anthropogenic sources of lead are mining, smelting, lead acid batteries, use of leaded paint, plastic stabilizers, cable sheathing pigments, and rust inhibitors. Adsorption is the most efficient and effective one. Among different physical chemical and biological procedures are present to mitigate the toxicity of lead ions in water, adsorption is the most efficient and effective one. Amid various nanoadsorbents, magnetic iron oxide nanoparticles are gaining more attention due to their unique physicochemical properties and magnetometric property. This review sheds light on magnetic iron oxide nanoadsorbents and the impact of different functional groups on lead ion adsorption efficiency.
Synthesis of Green and Pure Copper Oxide Nanoparticles Using Millettia Pinnata Leaf Extract and Their Characterisation
Authors: Jeba Devadason Princess , Ramkumar Ponpandi , David Alwin , Ashli J
Published: April 2022

Copper oxide nanoparticles (CuO Nps) were synthesized using Millettia pinnata leaf extract via an eco-friendly, cost-effective, reliable, and simple green synthetic pathway and were evaluated for visible light assisted photocatalytic properties by carrying out photocatalytic degradation of dyes. The green synthesized CuO NPs were characterized using various analytical techniques like UV-Visible Spectroscopy (UV-Vis), Fourier-Transform Infrared Spectroscopy (FT-IR), X-Ray Diffractometer (XRD), Transmission Electron Microscopy (TEM) and (EDAX) analysis. The biosynthesis was affirmed by UV-vis spectroscopy exhibiting peak at 290 nm. In FTIR analysis, the chemical bonds corresponds to the phytochemicals responsible for bioreduction activity were identified. Energy dispersive spectroscopy (EDS) showed high intense metallic peak of copper (Cu), oxygen (O) and low intense peaks of carbon (C) due to the capping action of biomolecules of plant extract in CuO NPs formation. The X-ray diffraction (XRD) pattern showed distinctive peaks corresponding to (200), (211) and (310) planes revealing the high crystalline nature of synthesized CuO NPs. The TEM analysis also confirmed that the formed nanoparticles had spherical morphology with uniform symmetry.
Hand Image Based Skin Disease Identification Using Machine Learning and Deep Learning Algorithms
Authors: M Kalaiyarivu , Nalini N. J.
Published: April 2022

The skin disease is most commonly affected to all peoples. It is a big challenging process in skin image identification because of the combined texture shape with the color variations. This paper presented to identify a skin using texture features (Local Binary Pattern and Gray Level Co-occurance Matrix) and color features with various learning models. The proposed work technique for identification of skin disease has two stages: either extracted feature values and identification. During the first stage, texture features and color feature vector values are taken from the images in a dataset of hand skin database. During the second stage, the extracted feature vectors are trained by the various kinds of Machine Learning models. This hand skin image dataset also applied into Deep Learning model for identification. The performance measures of the system is evaluated using accuracy measure. The Convolutional Neural Network (CNN) model gives accuracy of 87.5% when compared to Machine Learning models.
Weather Monitoring System using IoT for Smart Farming
Authors: Jagatheesan Mounica , Janaki G.
Published: April 2022

In most countries, agriculture is considered a major primary sector and a principal source of income. It is estimated that by the year 2050, the world’s population is expected to reach 9.1 billion people. According to the United Nations Food and Agriculture Organization (FAO), food production would need to expand by almost 70% to feed the growing population. As a result, the increase in agricultural productivity is critical in ensuring high crop yields and farm profitability. The proposed work aims to design an automated, fast-processing, real-time weather monitoring system for sustainable development in smart farming against climatic action. The proposed weather monitoring system is based on IoT technology designed using proteus simulation tool which collects necessary environmental data by using a Temperature sensor (LM35), Pressure sensor (BMP180), Soil moisture sensor, Rain sensor, and Raspberry Pi (RPI3) and the data are fed to ThingSpeak platform to predict the suitable condition for crop growth and better crop yield.
Traffic Sign Detection and Recognition Using CNN
Authors: S Ramkumar , Ramanathan Ganapathy , K. Sridhar
Published: April 2022

Advanced Driver Assistant system (ADAS) Plays the tremendous role in protecting human lives by improving the road safety. Traffic sign boards are placed beside the roads to alert the driver about the upcoming road scenario and the rules to be followed. Artificial Intelligence help us to recognise the sign boards and assist the drivers by updating it. Convolution neural network help us to classify the sign boards with high accuracy. By increasing the number of layers, we can improve the accuracy of our prediction. Here we are using 500 hidden layers. GTSRB dataset is used for training and testing purpose, by fine tuning the parameters, we classify the 43 classes of traffic signs with notable accuracy.
An Effective Encryption Mechanism for Security Issues in Adhoc Networks
Authors: C . Mohanadevi , Selvakumar Sweatha
Published: April 2022

In a wireless adhoc network, overtly on the market transmission signals impose a major security risk. Dos attacks on the network layer are a big threat to adhoc networks. The widespread attacks on adhoc networks are blackhole and grayhole attacks. By broadcasting bogus routing data, malicious nodes will prevent information from being sent throughout the network. As a result of this understanding, the United States of America were able to address the problem of information security in wireless adhoc networks with a unique viewpoint, allowing them to have a communication route free of all of the security dangers stated earlier. The goal of this study is to present a low-cost Adhoc On-Demand Distance Vector (AODV) protocol that uninflects the hostile node, ensuring safe communication. In order to achieve this purpose, intermediate nodes that receive erroneous routing data from a neighbour node are designed to see that neighbour node as malevolent. The term "adhoc network" refers to a network that is created on the fly.
Silver Nanoparticles Biosynthesis, Structural Characterization, Antibacterial Action, and Antioxidant Potential
Authors: Rajput Rashika , Tyagi Pankaj Kumar , Yadav Suhana , Sahu Shikha , Tyagi Shruti
Published: April 2022

The goal of this work is to address the green synthesis of silver nanoparticles (AgNPs) from Cassia occidentalis leaf aqueous extract. The AgNPs were studied using UV–visible spectroscopy, transmission electron microscopy, scanning electron microscopy, and X-ray diffraction. The spectra of AgNPs had a single strong peak at 435 nm, but the spectra of extract had two peaks at 230 and 250 nm, indicating the presence of polyphenols and phytochemicals in the solution, and the X-ray diffraction patterns showed that they were crystals. Obtained nanoparticles are round and oval in shape, according to TEM and SEM investigations, with diameters ranging from 6 to 30 nm. Pathogenic microorganisms such as E. coli and B. subtilis were used to investigate AgNPs antibacterial efficacy. As a consequence, it was discovered that green AgNPs exhibit significant antibacterial activity.
Augmenting Employability Skills by Integrating English as Communicative Language with Special Reference to COVID-19 by Using ANOVA
Authors: Bhatt Vinod , Gupta Dev Brat , Singh Satyabrat
Published: April 2022

As a matter of fact the English language is considered as the language of global commerce. The role and outcomes of English language provision in English-medium higher education institutions in the Indian fronts and remained central to any discussion on graduate profile and the employability of graduates in the global marketplace. This present study entails its direction toward the learning process of English language after the completion of graduation and post-graduation in the crucial times of COVID-19, where the most of the educational and training institutes were running in online mode. Many of the job aspirants use to learn English from the private English learning centers, who are having different methodologies for teaching the language, but presently this scenario has changed to online mode of training. Using a mixed methods approach, data was gathered through telephone interviews, student workplace simulations, and employer focus groups. Findings of the study focus on the increase in employability skills during pandemic period, channeled through English as a second or additional language, becoming confident, gaining knowledgeable, etc.
Numerical Analysis of Residual Stresses in Additively Manufactured Materials
Authors: Novotny Ladislav , Béreš Miloslav , Carpentieri Bruno , Abreu Hamilton Ferreira Gomes
Published: April 2022

A finite element modeling approach was used to study the transient temperature field and mechanical response during LPBF processing of Ti6Al4V powder. The using of the Newton-Raphson method in structural analysis is described in detail. Significant effect of process parameters on residual stress and microstructure was found.
Pattern Formation of the COVID-19 Pandemic Based on Lunar Calendar by Employing LSTM Auto Encoder
Authors: Ramanathan Ganapathy , Arunachalam Ilakiya
Published: April 2022

The number of detected COVID-19 cases for the states of Massachusetts, Colorado, and Nevada are taken from the Center for Disease Control and Prevention dashboard from the period of March 2019 to December 2019. The above-mentioned raw dataset is used for the present work as a nonlinear time series signal. Furthermore, the raw dataset is pre-processed by classifying the same into eight categories depending on the lunar calendar, which in turn is based on the octet phases of the moon. The susceptible-exposed-infectious-removed model is developed from this pre-processed data by employing the Long Short Term Memory auto encoder. The ensuing pattern formation from the auto encoder is investigated.
Impact of COVID-19 on Mental Health
Authors: Deshmukh Riya , Patil Ragini , Gajbe Dr. Ujwal , Gawande Ujwalla , Maldhure Swati
Published: April 2022

The new COVID, later dubbed coronavirus, is an incurable disease that can be transmitted to humans. It originally appeared in late December 2019 in the Chinese city of Wuhan, where it documented cases of pneumonia of unclear etiology. After its rise, it marked as an episode that caused real concern for the general public by the WHO, and in the middle of January 2020, the WHO declared a global pandemic due to a dramatic increase in global diseases affecting many nations. More than 108 million cases had been validated worldwide as of February 14, 2021, with 5.99 million cases reported in the Eastern Mediterranean region. As a result of this global emergency, segregation and detention measures were being taken by international and governmental organizations to prevent the spread of the disease. Additional measures include airline suspension, large assembly congestion, and compulsory use of face masks in many countries, community evacuation, telephone work, child education, and home-based care. Conclusion: There is a need to build the mindfulness among the different media stages about mental difficulties during pandemics and feature the significance of looking for help and taking part in actual work for the administration of emotional well-being messes. Moreover, an increment in mindfulness among the medical care experts in recognizing and focusing on the high-hazard gatherings of the populace who are in danger in creating psychological well-being issues is crucially significant.
The Ocular Surface
Authors: Gahat Pranay , Gaikwad Chetan , Aditi Dr. , Lute Bhawna
Published: April 2022

This is a study of patients who were diagnosed with COVID-19 between December 30 and February 7 , 2020 with a clinical diagnosis of COVID-19 , a total of 102 patients (48 males and 47 percent and 54 are female 53 percent ) were diagnosed with clinical symptoms , Respiratory therapy and chest computer Tomography (CT) abnormalities . Patient’s gestational age is 57.63 [14.90] year on average [SD].A total of 102 patients wererecognize , with 72 of them being men (50%) and women (50%) respectively . Only two patients (2.78 percent) were found to have conjunctivitis out of 62 patients with laboratory confirmed COVID-19. SARS-COV2 RT-PCR detected ocular discharges in only one of two patients , SARS-COV-2 fragments . Covid-19 infected about 80,000 people in just three months, according to estimates with the help of 300 medical personal.It attacks the respiratory tract first and foremost, although it also affects extra-pulmonary locations, the gastrointestinal tract, as well as other organs. Fever, tiredness, and cough are the early symptoms of SARS-COV-2 infection,. Which rapidly develops into pneumonia.
Rotor Modification of Switched Reluctance Motor to Improve Multiphysics Performance on EV Grade
Authors: M Deepak , G Janaki , C Bharatiraja
Published: April 2022

The magnetless electrical machine Switched Reluctance Motor (SRM) for low-cost Electric Vehicles (EVs) drive. Compared to induction motor and permanent magnet synchronous motor, the SRM has simple steel rotor construction, high reliability, high fault tolerance capability, wide operating frequency range, high constant power speed range, high-temperature operation, and low-cost steel materials. This paper design was carried out for EV grade 1200kg drive optimal duty cycle characteristics, SRM topology optimized the 8/6 geometry rating for 20kW and 2750rpm. The SRM rotor modification comparison performance of torque, efficiency, line current, and power for EVs. The five rotor modifications are rotor round teeth, straight teeth, taper and round teeth, taper and straight teeth, and straight and round rotor teeth are analyzed using the finite element method. The optimized geometry model analyses using JMAG software and compared with all rotor modifications for the improving performance on torque density, operating efficiency, rated power, and speed for EVs.
In-Silico Analysis of Functional and Phylogenetic Distribution of Serine Racemase Homologues in Various Life Domain of Prokaryotes and Eukaryotes
Authors: Kapil Shikha , Senthilkumar Umapathy , Kumar Tarun , Sharma Vipasha
Published: April 2022

The role and characterization of serine racemase (SR) in eukaryotes and prokaryotes are well studied. Although, the phylogenetic distribution of serine racemase remains unexplored in prokaryotic and eukaryotic genomes. In this study, by using different computational software we explored the evolutionary history of serine racemases belonging to different life domains. For our analyses, we followed the rational selection criteria to generate a hierarchical dataset of SR-containing organisms. After screening, 193 species were selected and retrieved from an online database NCBI for further analysis. We found that human serine racemase homologs are distributed widely in all these different domains of organisms. Similarity and conservational results have proven that bacterial, fungal and protist SRs are more diverse as compared to mammalian and plant SRs, and those sharing <47% sequence identity are dehydratases rather than racemases. Data concerning the phylogenetic study has proven that serine racemase first evolves in bacteria with a 0.50 distance scale. This in-silico study gives a brief overview of the phylogenetic distribution of SRs.
Optical Scanning System for Imaging of Heterogeneity in Biological Tissues
Authors: J B Jeeva , Elliot Jim , Singh Megha
Published: April 2022

A non-invasive hand-held optical probe for imaging of biological tissues consists of nine units. Each unit is equipped with one red LED and three photodetectors placed at distances 7, 12, and 17 mm from the source along the x-axis. For testing, three phantoms of paraffin wax are embedded with solid inhomogeneity placed at various depths. Human biological tissues consisting of right index finger, four fingers of the same hand, and a part of the forearm below elbow joint are used. The data on optical backscattering are collected by moving the probe on the surface of phantom/tissue and after processing the respective images are obtained. Three images of the index finger show the tissue structural variation in various layers, which are in agreement with anatomical details and radiograph of the finger. The tissue details of four fingers are in agreement with that of individual finger. Similarly, the three images of the forearm show the structural variation. These observations suggest that the present technique may be used to detect tissue compositional changes below the skin.
Intellectual Capital Efficiency and Its Impact on Sustainable Development of Agri-Business Sector in India
Authors: Balaji Vaishnavi , Mamilla Rajesh
Published: April 2022

Recognizing the importance of IC components, businesses must devise strategies for investing in various IC components while judiciously spending their limited knowledge-based resources. There is a growing demand for research on the link between sustainable development and organization’s intellectual capital. The current research explores the intellectual capital efficiency’s effect on the sustainable growth rate of Indian agri-business firms through modified value-added intellectual capital model. The study adopts a fixed effect regression model to analyze the repercussion of ICE on SGR. The findings of the study reveal that capital employed efficiency exhibits a noteworthy negative impact on sustainable growth of companies, while relational capital efficiency has a noteworthy influence. Human capital efficiency, structural capital efficiency, and innovation capital efficiency do not have significant impact on companies’ sustainable growth rate.
Implication of Endometriosis and Age on Oocyte Quality and Implantation Success
Authors: Ifedunni Olatunji Oluwabunmi , More Akash , Shrivastava Deepti
Published: April 2022

Endometriosis is a challenging health problem with devastating consequences on different aspects of a woman’s life. Though one of the most common gynecological conditions, its mechanism of action in relation to infertility still remains unknown. It is well known that oocytes and embryo quality are important factors in the female fertility journey. However, studies have presented some signals towards the adverse impact of endometriosis on oocytes quality and implantation success. Nevertheless, there is still a dearth of information regarding the impact of endometriosis on fertility. The goal of this research is to further study the effects of endometriosis on oocytes quality and implantation success. Objectives: To compare and analyze oocytes quality and response of endometrium stimulation among endometriosis and non-endometriosis patients. To compare and analyze oocytes quality and response of endometrium stimulation of both old and young endometriosis patients. To analyze implantation outcome in endometriosis patients and non-endometriosis patients, as well as both young and old endometriosis patients.
An In-Silico Approach of the Antibacterial Activity of Coleus Amboinicus Against Streptococcus Mutans
Authors: Suresh Jithya , C Pushpalatha , P Parasuraman , G Dhananjaya
Published: April 2022

Coleus amboinicus is a semi-succulent plant with medicinal properties. The essential oils contain active ingredient β-caryophyllene, which exhibits anti-microbial properties. Aim: To identify specific target proteins of CA against Streptococcus mutans, using an in-Silico approach. Methodology: Protein targets of S.mutans -glucansucrase was retrieved from RCSB protein databank and Autodock 4.2 tool was used to carry out the molecular docking. The molecular dynamic study was carried out for the potent target complex by Desmond package. RESULTS: β-caryophyllene showed potent binding affinity towards target proteins, scoring -7.7 kcal/mol. It was found to bind covalently with HIS587, LEU433, TYR916, LEU382, ALA478, TYR610, and PHE907 amino-acid residues. Molecular dynamic result showed that β-caryophyllene with 4 glucansucrase complex was stable during the 50ns. The RMSD & RMSF was stable and showed efficient interaction. Conclusion: The drug moiety containing β-caryophyllene present in CA is a promising candidate in the treatment of oral infections.
To Asses the Knowledge , Attitude, and Practice of Students about Voluntary Blood Donation in AVBR Hospital, Sawangi (M), Wardha”: A Study Protocol
Authors: Biswas Lakhi , Jain Ahmindra
Published: April 2022

Background – AVBRH Blood bank is a highly specialized blood bank well equipped with latest machineries and equipment’s for testing of blood for infectious disease and for storage and separation of blood. Apart form this there is a proper quality control for all the reagents used in blood bank and a proper protocol is followed for collecting the blood , for separating and storage of blood and the blood is dispatched to the patient only after proper cross matching Objectives -1) To learn about people’s attitude towards blood donation (both negative and positive).2) To determine the individual’s stumbling blocks and challenges.3) To determine the extent to which people are aware of the benefits of blood donation.Methodology – This section of the index describes the methodology applied to conduct the research. The required data will be collected from the medical student of AVBRH hospital.Material used : self-administered structured questionnairePlace of study : AVBRH, SAWANGI (MEGHE).MAHARASTRA.Duration of study: 2 years Study design: It is a Observational Study i.e of cross-sectional formWith the use of a questionnaire, data will be collected from medical students at the AVBRH hospital.Data analysis: data will be analyzed after completion of study.Inclusion criteria : Medical students.Expected Results – Motivation of medical students at AVBRH related to voluntary blood donation for the benefits of both students and the society
SVM Classifier: Identify Linear Separability Of NAND And NOR Logic Gates
Authors: Chaudhari Ratna Sadashiv , Ghorpade Smita Jaywantrao , Patil Seema Sajanrao
Published: April 2022

Abstract-Artificial Neural Network plays vital role to resolve several real-life problems. Those problems would be impossible or difficult to solve by human or statistical principles. ANN produces better results on large data set as it has self-learning capabilities. The most frequently used family of ANN is pattern classification. Generally, patterns are obtained from real world and get together based on definite attributes in specific regions. Data is classified based on knowledge by recognizing patterns. This study underlines linear separability of Boolean logic gates according to classification. We considered Boolean functions NAND and NOR for classification task. Our problem statement related to this study is, “There is significant difference between the performance of classifier regarding NAND, NOR Boolean logic gates using Support Vector Machine”. Zoo data set is used to carry out the experiment. Accuracy score is measured using Support Vector Machine (SVM). For actual and predicted data set, classification report and confusion matrix is produced. For classification SVM is emerged as a promising technique. Usually, SVM gives remarkable performance as compare to other Machine Learning classifiers methods. As a result, SVM produces outstanding performance on classification problem. Keywords- Boolean Functions, NAND, NOR, Linear Separability, Support Vector Machine (SVM), Confusion Matrix.
Classification of Burn Images into 1st, 2nd, and 3rd Degree Using State-of-the-Art Deep Learning Techniques
Authors: Volety Rohit , J B Jeeva
Published: April 2022

To choose the right treatment for healing a burn, it is necessary to classify the burn into a broad category that can then be given the right treatment. Presently the most popular method of classifying burn images is by manual inspection. An automatic system that can classify the burn wound into a broad category is proposed. The system aims to classify burned skin images into 4 broad categories, such as 1st, 2nd, 3rd, and not-a-burn images. 514 images were collected, which consist of 128 images in no burn category and 127 images for each of 1st, 2nd, 3rd degree burns. A comparison of several state-of-the-art classifiers that use deep learning architectures like VGG16, VGG19, ResNet, DenseNet, InceptionNet, and EfficientNet was performed. In addition to that, various optimizers like Adam, AdaGrad, and RMSProp have been compared to get the best results. It was found that ResNet 101 gives the best accuracy of 95% with the AdaGrad optimizer.
VLSI Architecture of Decision Based Adaptive Denoising Filter for Removing Salt & Pepper Noise
Authors: Bevara Vasudeva , Srinu Bevara , Kumar Sanki Pradyut
Published: April 2022

A new Decision Based Adaptive Denoising Filter (DBADF) algorithm & hardware architecture are proposed for restoring the digital image that is highly corrupted with impulse noise. The proposed DBADF detects only the corrupted pixels and that pixel is restored by the noise-free median value or previous value based upon the noise density in the image. The proposed DBADF uses a window initially and adaptively goes up to window based on the noise corruption more than 50% by impulse noise in the current processing window. The proposed architecture was found to exhibit better visual qualitative and quantitative evaluation based on PSNR, IEF, EKI, SSIM, FOM, and error rate. The DBAMF architecture also preserves the original information of digital image with a high density of salt & pepper noise, when compared to many standard conventional algorithms. The proposed architecture has been simulated using the VIRTEX7 FPGA device and the reported maximum post place and route frequency are 149.995MHz and the dynamic power consumption is 179mW.