bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Gestational Weight Gain and Its Associated Factors on Pregnancy Outcomes in Urban Indian Women
Authors: Joshi Pallavi suresh
Published: April 2022

Gestational Weight Gain (GWG) has important implications for the immediate and future health of both the mother and the newborn infant. Overweight and obese women have been reported to gain excessive weight with reference to the Institute of Medicine (IOM) revised guidelines of 2009 on GWG based on the pre-pregnancy BMI ranges for women as recommended by the World Health Organization (WHO). Previous research studies have highlighted the associations between gestational weight gain, pre-pregnancy BMI, parity, and pregnancy outcomes, such as assisted delivery and neonatal birth weight. The present observational study conducted 600 pregnant women in their second trimester aimed to study the association between GWG, maternal age, parity, and pregnancy outcomes, including neonatal birth weight, mode of delivery, and APGAR score. Mean maternal age of the study sample was 29.06 ± 5.0 years and the mean gestational weight gain of the sample was 9.29±4.71 kg. GWG in the present sample was well within the IOM (2009) guidelines. Statistically significant associations (p<.001) were found between GWG and pre-pregnancy BMI and GWG and parity (p=.000). GWG was within the IOM (2009) suggested guidelines and no adverse pregnancy outcome has been reported in the present study sample These findings therefore underline the need to adhere to the IOM (2009) guidelines on pre-pregnancy BMI and GWG to ensure achievement of optimal pregnancy outcomes for both the mother and her offspring. Further studies must aim towards formulation of strategies enabling adherence to recommended guidelines for achieving optimal GWG.
Potential Antiviral Drug Against Human Papillomavirus Type 16 Through Indandione-Containing Inhibitors of E1-E2 Protein Interaction
Authors: Mishra Janhavi
Published: April 2022

Cervical cancer, predominantly caused by HPV infection, is ranked among the most emerging cause of cancer across the world, and is the second most common cause of female cancer in India. The high-risk HPV16 and HPV18 strains of the virus are the most prevalent causative agents of this disease. Among the various proteins produced by the virus, E1 and E2 are the major proteins involved in viral replication and thus are suitable targets for antiviral therapy. Studies have shown that the E1-E2-ori complex formed during DNA replication can be effectively interrupted by a specific class of Indandione-containing inhibitor compounds in HPV11. This study focuses on observing the efficacy of such ligands on the E1-E2-ori complex in HPV16, as well as the modifications required to improve the efficacy of the drugs. The targets were selected after a thorough literature study and their protein sequences were retrieved from NCBI to model a 3D structure using homology modeling method on the SWISS-MODEL platform. The ligand molecule and its derivatives were obtained from various literature and databases. Molecular docking was performed using PyRx, Chimera 2.0 software, and Discovery Studio software. The ligand molecules were tested for ADMET using pkCSM platform and SwissADME platform. This study aims to direct research towards the development of HPV treatments, which is necessary to overcome the limitations of vaccines and bridge the socio-economic divide made by the uneven distribution of HPV vaccines and the social stigma associated with the disease.
Systematic Analysis for Neck-Length and Q-Values on Cluster Decay from Ba Isotopes
Authors: Majekodunmi Joshua T. , Anwar K. , Rana Shilpa , Jain N. , Bhuyan M. , Abdullah N. , Kumar Raj
Published: April 2022

The present study provides a detailed investigation of the neck-configuration and Q-values on the cluster decay of proton-rich even-even 124-128Ba isotopes using the relativistic mean-field (RMF) formalism with the NL3* parameter set. The densities of the interacting nuclei from the RMF approach are folded with the R3Y and M3Y interactions to obtain the nuclear potential via the double-folding technique. The preformed cluster model (PCM) based on the quantum mechanical fragmentation theory is employed for the calculation of the decay half-lives. The preformation probability P0 and the penetration probabilities are estimated by the phenomenological scaling factor of Blendowske & Walliser and the WKB approximation respectively. The present investigation reveals that the M3Y and R3Y are associated with different barrier characteristics which are significantly modified with a little variation in the neck-length parameter ΔR. From the Q-value analysis, we have demonstrated that α-decay may not be a favourable decay mode for proton-rich barium isotopes with A > 122.
Appraisal of Available Transfer Capability Determination Methods in Competitive Electricity Market
Authors: Meena Shweta , Jain Kavita , Meena Ramesh Chand , Meena Keshav
Published: April 2022

The existing power market is contentiously promoting sustainability and competitiveness in the electricity industry. It has raised the transmission networks' transfer capacity as an emerging area for researchers. The electricity production units and consumers share the same transmission network. All stakeholders try to generate power from cheaper sources to make more significant profit margins. This situation creates transmission congestion, violation of voltage and thermal limits, and system security threats. The accurate measurement and optimal use of the available transfer capability (ATC) shall resolve this issue up to some extent. Thus, efficient evaluation of ATC is needed to ensure system security, and it provides an open and trending research topic. This article presents a review of the various techniques for ATC determination and provides the characteristics, practices, and features of the methods. This analysis demonstrates the issues of ATC evaluation techniques and provides the research areas to the researchers.
Artificial Intelligence Techniques for Escalating Crop Nurturing Process
Authors: Kumar Vikram , G Revathy , NS Kavitha
Published: April 2022

With the crash of climate change in India, due to global warming and other factors, preponderance of the agricultural crops are being deficiently exaggerated in terms of their recital over a period of last two decades. Envisaging the crop yield well ahead of its harvest would help the policymakers and farmers for taking appropriate measures for marketing and storage. Such predictions will also help to escalate the crops productions. This chapter presents various methods and techniques that are used today for predicting and modeling crop yields. The chapter also highlights the problems faced by the farmers of Thanjavur district due to climate change. The district is also called the rice bowl of Tamilnadu, located in the Cauvery delta region. In addition to this, this chapter also present a novel recommendation system that uses random forest for recommending suitable crops for the area under study and tabu search optimization for increasing crop production. The crops are recommended based on (a) soil properties, (b) crop characteristics, (c) climate parameters. The crops, namely maize, finger millet, rice, and onions, are considered for study. Depending on the prediction techniques, restorative crops are chosen for the corresponding climate conditions. The proposed system is integrated with location specific soil properties as real time input and recommends the suitable crop with good outcome considering the input and climate parameters.
Analysis of Defense Techniques for DDOS Attacks in IoT – A Review
Authors: Papalkar Rahul Rajendra , Alvi Abrar S
Published: April 2022

The Internet of Things (IoT) has recently become an innovation for the development of intelligent environments. Security and privacy are seen as major issues in any technology's reliance on the IoT model. Privacy and security issues arise due to the various possible attacks caused by intruders. Therefore, it is essential to develop an intrusion detection system to identify attacks and anomalies in the IoT system. In this work, we have investigated the state of art DDOS attack detection techniques and also find the inadequacy in those methods. To overcome that confine, we have recommended an optimal methodology that is based on the deep learning technology, which will effectively detect existing DDOS attacks as well as zero-day attacks.
Competing with Traditional Business Model: Zero Budget Natural Farming Against Chemical Farming
Authors: Thorat Chandrakant A , Pawar Satish
Published: April 2022

Zero Budget Natural Farming or ZBNF is a set of farming methods, and also is a grassroots peasant movement, which has spread to various states of India. Padma shri Subhash Palekar is founder of this technique of faming ZBNF. It has attained wide achievement in south India, especially the south Indian state of Karnataka where it first evolved. A research was undertaken to study understand Zero Budget Natural Farming with reference to Pune District, Solapur District, and Ahmednagar District in Maharashtra State. 435 farmers were surveyed. The awareness about ZBNF is quite high with the farmers. No marketing strategy is used by ZBNF producers. However, the farmers are in favor of implementing a sound marketing strategy for the ZBNF products. 4Ps of the classic marketing mix can be identified with the ZBNF products like vegetables and fruits. ZBNF implementation can be a game-changer in the field of agriculture. Few farmers were found using ZBNF technique since last 25 years. It is a highly efficient and effective farming model as compared to be the traditional chemical farming.
Teaching English Sentence Structure through Comics an Exploratory Study: Law Students Tamilnadu
Authors: Bai Reeta
Published: April 2022

AbstractReading habit is loosing its fragrance because of social media and more of distraction with modern gadgets. Even though many online reading sources such as kindle, storytel, reading blogs etc are available in large number but students get deviated from the content and switch on to other app and the major failure is the focus on the prescribed content. Alternative method to inculcate reading habit is the ancient method that is through books, when they touch and feel the books they get to read more. Beard and Rhodes1 experimented comics with MS degree learners and the experiment proved that reading comics helped them to express their thoughts, anxieties etc. Generally many students including adults hesitate to spend time on reading books alternative source to get involved in reading is comics because it is in chunk with animations a delight for both mind and eyes. Esiner2
study stated that usage of comics helped the learner to improve visual and verbal skill. This study focus on the introduction of comics to the law students for teaching sentence structure. As their profession is more of reading and understanding the cases of human, they must be trained with sentence structure. Northern part of Tamilnadu is the target group, which comprises of five college and the experiment was carried with sixty students. The result proves that the students exposed to reading habit was understanding the usage of sentence structure and their creative level of writing skill is witnessed during the research.
Impact of Childhood Trauma on Psychological Distress and Personality Pathology in Young Adults
Authors: Ravishankar Ashwini , Sathiyaseelan Anuradha
Published: April 2022

Adulthood is a time of change, thus stressful. A predetermining factor to this is a provision for a safe environment during the crucial years of life (childhood). Children make meanings of everything and are more dynamic in the early developmental years. It is a basis for their overall development and defines their coping mechanisms during adulthood. Therefore, if they develop faulty meanings of themselves, others, and the world at large, it can alter their abilities to function during adulthood. It is fundamental to understand the psychological well-being and personality traits in adulthood by this very nature of traumatic experiences in childhood. This paper is a conceptual framework discussing a three-tier model to retrospectively understand the impact of childhood trauma on psychological distress and personality pathology in adulthood. This paper suggests future research to focus on developing intervention and prevention models for young adults (childhood trauma survivors) on positive parenting practices.
Modeling and Simulation of the Urban Metabolism of Bogotá
Authors: Rua Diego , Zapata Sebastian , Castaneda Monica , Aristizabal ANdres , Dyner Isaac
Published: April 2022

The urban expansion that takes place in developing countries has important impacts on environment. For that reason, it is important to supply household energy needs through renewable energies such as solar PV. Notwithstanding, as the adoption of solar PV panels in households must overcome important barriers different environmental policies are applied around the world, such as feed in tariff and net metering. This paper assesses following scenarios that consider policies to encourage solar PV adoption: a feed in tariff is applied, net metering scheme is applied, none policy is applied. The solar PV adoption is analyzed in terms of installed capacity, adopter households, potential adopter households, solar PV generation, and avoided CO2 emissions. Findings suggest that feed in tariff policy provides the best results to environment, as under this policy the highest levels of CO2 emissions are reached.
Impact of Internet of Things and Machine Learning in Smart Agriculture
Authors: Kassanuk Thanwamas , Phasinam Khongdet
Published: April 2022

Using irrigation, water is delivered to the roots at the proper moment. Plants use evapo-transpiration (ET) to pull water from moist soil and release water into the atmosphere at the same time as absorbing nutrients from the soil with water for root zone growth. There is a critical threshold beyond which plants cannot get the nutrients and water they need for growth. The root zone must be supplied with high-quality water before the limit is reached, as a consequence. Species, soil, and climate all influence this limit. The threshold cap differs by plant kind. The application of the proper amount of water at the right time and place inside the facility is a requirement of scientific scheduling. Monitoring the soil moisture content at the root zone needs a predetermined irrigation schedule based on the plant's nature, its growth, the kind of soil, and its climatic conditions. As a consequence, sensors near the soil's root zone are required to acquire a representative moisture condition for scientific irrigation scheduling. Deep learning and machine learning are two of the most popular techniques to artificial intelligence. People, companies, and governments all use these models to predict and learn from data. Complex and diverse data sets in the food business need the development of machine learning algorithms. The irrigation system shown here is based on machine learning and the Internet of Things. The data owner may then take necessary action depending on the results provided.
Healthcare Chain Network Framework for Monitoring and Verifying Pharmaceutical Supply Chain
Authors: Mani Vinodhini , M Prakash
Published: April 2022

Prescription drug abuse and doctor shopping are major problems in the healthcare field that have led to a significant number of deaths as a consequence of drug misuse. Doctors prescribe too much fentanyl, Demerol, and sleeping pills, along with anxiety medications, that are legal and frequently abused. In order to combat prescription drug abuse, it is imperative to develop an efficient monitoring and identification system. Blockchain technology is a promising solution to tracking prescriptions because of its decentralization and auditability, which allow medical records to be more secure as well as more reliable. Blockchain technology can help ensure the authenticity, integrity, and transparency of drug distribution between pharmacies and doctors. In this paper, we aim to develop a system of managing the integrity of the drug supply chain by integrating Hyperledger Fabric blockchain technology with Interplanetary File System (IPFS). Because of its secure encryption framework and anti-fraud and anti-forgery measures, it has prevented prescription abuse. A smart health care ecosystem is created by using smart contracts to track drugs on the blockchain. In addition, by using this approach we are able to recognize and track drugs that may be misused by individuals who shop for doctors and hop between pharmacies. The cryptographically safe and reliable framework created by Healthcare Chain can be used by doctors, pharmacists, and patients to improve how opioid prescriptions and medication are administered.
Comparison of Acceptance and Commitment Therapy (ACT) and Cognitive Behavioural Therapy (CBT) for Treatment of Academic Procrastination
Authors: Kohli Manu , Gupta Navita , Saini Prabhjot , Kohli Gaurav
Published: April 2022

Mental health is an integral part of adolescent’s wellbeing. Procrastination of the academic tasks is found to be the cause of stress among the adolescents. Procrastination is an individual act of postponing or suspending the tasks until the last gasp or past the deadlines. Psychotherapies appears to be an effective treatment for academic procrastination among the adolescents. The present review compared the efficacy of ACT and CBT in reducing the academic procrastination among the adolescents. Methods: Thorough search of three databases (Pubmed, Google Scholar, and PsycINFO) from 2010-2021 was conducted using the keywords like CBT, ACT and academic procrastination. Results: Research support findings that psychological interventions both CBT and ACT are promising interventions for decreasing procrastination. ACT had better long-term effects than CBT on improving procrastinating behaviour.
Importance of Core Competencies Assessment Scales for Community Health Nurses in India
Authors: Kohli Gaurav , Gupta Navita , Kohli Manu , Saini Prabhjot
Published: April 2022

The new age nursing profession is primarily based upon the efficient execution of the profession with skills and appropriate knowledge. The core competencies are essential to developing during and after the completion of formal education. The community nursing competencies are a bit more important as they enable the nurses to work independently in the field as a practitioner. The regular evaluation of competencies is direct to achieving the standard of health care services in the community setting. Method: To present this review researcher reviewed almost 70 articles from different online platforms, i.e. PubMed, Scopus, and Google Scholar, were screened and the final 16 were reviewed. Conclusion: Community health nurses working in domiciliary care need immense exposure to develop core competencies in the practice field. A standardized guide for core competencies of community health nurses based upon the indigenous needs/programs of India helps to infuse competencies among community nurses. The evaluation scale will ensure the extent of core competencies development.
A Study to Examine the Behavioral Intentions of Practitioners to Use Forensic Accounting Technique as Fraud Detection and Prevention Mechanism in India
Authors: Kaur B , Bansal R
Published: April 2022

The rising number of frauds in the recent years and the authorities' inability to combat fraud has brought the concept of Forensic Accounting (FA) in limelight. FA is the branch of accounting that investigates fraud. The primary objective of this study is to look into practitioners' intentions to employ various FA approaches for fraud detection and prevention in India. The study has been conducted in the North region, and the population for this study include the practitioners in accounting fields, Certified Public Accountants (CPAs), Chartered Accountants (CAs), Association of Certified Chartered Accountants (ACCAs),Certified Management Accountants (CMAs), and Lawyers. Snowball sampling technique was used for data collection. For this study, structured questionnaire was used to collect the data and further SMART PLS was used to analyze the data.
Determinants of Technology Adaption Within the Framework of TOE: An Insurance Sector Perspective
Authors: p A manoj Kumar , Aggarwal Arun
Published: April 2022

Over the last four years, several interesting technology drivers have hit the market. Each of the technology has affected the insurance industry significantly. The cost of acquiring the customer through the digital medium is the least compared to the traditional methods. These changes in the industry could be analyzed based on the social, technological, economic, environmental, and political aspects. The social changes include non-interaction with customary channels including agents and using social media and online channels where they can make the decisions. Robo advisors, Internet of Things, digital platforms, telematics, telemetry, data analytics, and big data are the main disruptors in the insurance industry. Big data has enabled new pricing models with greater risk segmentation. Artificial Intelligence (AI) and Machine Learning (ML) algorithms are used for predicting customer churn in the insurance industry.
Green Human Resource Management: Proposed Conceptual Model Through Systematic Literature Review
Authors: Bawa Ramneek Kelsang , Kathuria Kapil , Dhiman Rahul
Published: April 2022

This evaluation serves two goals: to conduct a systematic literature review (SLR) on Green Human Resource Management (GHRM) and to provide a support to facilitate future researchers to examine issues faced during practice of GHRM. Analysis derived from SLR of empirical research papers from 2010 until 2021 published in Scopus-listed journals highlighted strongly favored theories, i.e. the abilities-motivation-opportunities theory and resource-based-view theory. Unveiling research hypothesis that GHRM trainings influences green skills and green behaviors among employees. The literature analysis resulted in conceptual model that shows integration of supply chain management, cost cutting, corporate governance, lean manufacturing, and operations management with GHRM practices resulting in improved business outcomes especially for natural resources and/or labor intensive businesses.
Amplification of an Amplitude Modulated Electromagnetic Pulse Through Nonlinear Self-Compression
Authors: Singh Mamta
Published: April 2022

An electromagnetic short laser pulse is considered as amplitude modulated in time. To study the advancement of amplitude-modulated short laser pulses in a plasma, we preformed numerical modelling using time-dependent generalized nonlinear Schrödinger wave equation. This analysis is limited to one-dimensional geometry, as the transverse profile is considered as uniform. Paraxial like approach is used to derive dimensionless nonlinear pulse-compression parameter equation. The effect of amplitude modulation on nonlinear compression is studied. A significant enhancement in laser intensity is observed due to the amplitude modulation of the electromagnetic pulse. We observe about 50% increase in laser intensity as compared to the unmodulated laser pulse. Our results may be useful in the clean and affordable energy goal of sustainable development goals.
Participatory Management and Its Role in Marketing: A Systematic Literature Review of Two Decades
Authors: Thakur Pankaj , Kathuria Kapil , Dhiman Rahul
Published: April 2022

This particular review paper focuses on two purposes: 1) To lay out a systematic overview of participatory management (PM) literature and 2) To analyze the methodology and significance of research in participatory management in marketing, paving the way for more research in the future. Design Methodology/Approach: This paper used the systematic literature review format. The various research articles were taken from Google Scholar (with citation index equal to or more than 30) and the Microsoft Academic database covering two decades, i.e. 2001 to 2020. Findings: Significant contributions of Participatory Management (PM) have been found in developing brands and place marketing. Some of the main themes studied clarify the components of PM, barriers, and limitations of PM. The findings reveal that very little research on PM has been done in the field of marketing, however, PM can be measured precisely.
Wellness Programs an Employee Engagement Technique Pre and during Pandemic: A Systematic Literature Review
Authors: Chawla Swati , Sareen Puja , Gupta Sangeeta
Published: April 2022

Employee Wellness Programs play a very significant role in the holistic development of an employee. Wellness Programs in the wake of COVID 19 have become an essential requirement for all employees. Living and working during a pandemic coupled with higher stress levels and a time-compressed schedule exemplifies the need for wellness programs as a predominant technique for employee engagement. The present study reviews the theoretical literature about wellness programs, an employee engagement technique, pre and during pandemic between 2017 – 2021 from refereed journals (Web of Science, Science Direct, SCOPUS, JSTOR, ERIC, DOAJ). To address employee issues through wellness programs, a comprehensive systematic review of literature has been done to redesign wellness programs in unprecedented times. The study aims to assess four key dimensions of wellness programs: emotional, intellectual, social, and financial that can help an employee live the best life possibly – mentally, emotionally, and professionally.
Valuation of Growth START-up: A New Approach By Drawing Analogies and Variations Among Existing Methods
Authors: Pynadath Minnu F , Thomas Sam
Published: April 2022

The valuation of a budding start-up is a complex task for researchers, academicians, and practitioners because of its inherent nature of high growth potential and high risk, uncertainty. These characteristics of the startup make traditional valuation methods inappropriate for startup valuation. Without comprehensive assimilation of business models and underlying value drivers at every stage, the process of valuation can become an unrealistic and difficult task. In this context, the current study elucidates various valuation methods and their appropriateness in start-ups with the help of a literature review. Different types of valuation methods of growing start-ups were compiled from established research literature and focus was given to valuation methods like DCF method, Venture Capital Method, Revenue multiple methods, Real options valuation method, binomial tree structure, and First Chicago method. Secondly, the possible methods of modifying the assumptions of these models are proposed in this study to improve the accuracy of valuation. Finally, this study also identifies the significance of the supplementary role of non-financial information in the valuation process.
Vulvo Vaginal Candidiasis: Prevalence and Risk in Pregnancy
Authors: Sharma Aneeta
Published: April 2022

Vulvo vaginal candidiasis (VVC) is a universal situation deal with pregnant women all over the earth and impacting on their fetus health. It is expected that maximum of women will suffer however one incident in their life cycle and half percentage will go through various periods, especially in warm, semitropical temperatures. VVC is a present problem of illness and has destructive outcomes for ladies of reproduction period. Exploring prevalence and risk of pregnant women about Vulvovaginal Candidiasis is important, mainly in Asian territory wherever focus on problems associated to venereal area is endangered by society, spiritual and traditions feelings. The study aims to assess the prevalence and risk of about VVC among pregnant women and evaluate the effectiveness of awareness program on knowledge and practice of pregnant women. The study question of this work is: what is the prevalence and risk of vulvovaginal candidiasis in pregnancy? A survey method will use to achieve the aim of study. The researcher planned to collect the vaginal specimen after the consent of pregnant women with symptomatic vaginal secretion, vulval rash, genital pain, and an offensive genital smell. A questionnaire method to assess the knowledge and the hygienic practices among pregnant women. Detection and screening help to prevent the complications to mother and their baby. Education tool will help to identify the infections during pregnancy. Good hygienic measures reduce the chance of infections among pregnant women.Keywords: Knowledge, Vulvovaginal Candidiasis, inflammation, infection
Impact of Green Walls on Indoor Air Quality in Corporate Offices
Authors: Kulkarni Riya Sanjay , Dixit Shriharsh Ashok
Published: April 2022

The megacities have witnessed massive increase in the population due to migration of people from rural areas. Cities, known for job opportunities, are increasing built forms which is creating negative impact on the environment. A large population spends on average 8-10 hours in an office. Limited natural elements within an office environment affects users negatively by creating mental and physical health conditions. Numerous studies confirm that the imbalance in indoor air quality, thermal, acoustic, and visual comfort results into Sick Building Syndrome. This research focuses on importance of consolidating green walls within corporate offices and reviewing its positive impact on the indoor air quality affecting the performance of professional workers within that building premises. The study concludes that the green wall metabolizes harmful toxins present in the workspace, leading to an approximate 70% of productivity gain and a healthier working environment for the employees.
Recent Advances in the Synthesis, Characterization of Pure and Doped NiO Nanostructures for Gas Sensor Applications
Authors: C Manjunatha , Khosla Ajit , Hari Krishna R , Vijay Kumar P , Chakraborty Sujan , Krishna M
Published: April 2022

Nowadays developing the nanomaterials for the sensors capable of sensing at low temperature is given prime importance. In line with this review describes the latest investigations on the effect of metal ion doping on nickel oxide (NiO) sensor capabilities towards various gases. NiO is used as base material of the sensor because of its p-type semiconducting behaviors and its long term stability. Transition metals like Fe, W, Cu, Sn, Nb, In, Ti, and Zn are used as dopants because of their good thermal and electrical conductivity. In this short review article, various synthesis approaches to prepare doped NiO nanostructures and their structural feature are discussed. The development of a sensor device using doped NiO nanostructures and investigation of its sensing property for various gases such as xylene, methane, ethanol, butanol, NO2, etc. are discussed in detail. At the end, all the sensing results were correlated and proposed the suitable conditions to develop the potential doped nanoscaled NiO for better sensor applications.
Prefabricated Houses – A Model to Sustainable Housing Market
Authors: G Nagarjuna G , Arjun B S , Shabarisha N , Gowri shankar Ramachandran
Published: April 2022

Effective spatial planning in an urban center is the need of the hour especially for offering affordable and sustainable houses. Spatial planning may help in achieving Sustainable Development goals (SDG) (09) Industry, Innovation, and Infrastructure, (11) Sustainable Cities and Communities, and (15) Life on Land. Prefabricate house models can be used as strategy in achieving above mentioned SDGs. It is important to study the prefabricated housing market for a country like India, considering its growing population and necessity of access to affordable and sustainable houses. The main objective of this study is to identify the determinant factors of prefabricated house and its impact on preference among urban consumers. The study is quantitative in nature and adopts a survey method. SEM model is used to analyze the data. A structured questionnaire is developed based on the objectives of the study. The questionnaire majorly focused on perception of sustainability, affordability, durability, barriers, opportunities, and quality.
Effective Law Enforcement Monitoring Using MSTrIPES Software in Nandhaur Wildlife Sanctuary
Authors: Hussain Ajaz , Sirola Gaurav , Guleria Harish , Rawat Gopal Singh
Published: April 2022

In order to improve the performance of law enforcement monitoring in Nandhaur Wildlife Sanctuary (NWS), the monitoring system for tiger intensive protection and ecological status (MSTrIPES) software was used for the first time to collect information for management practices, between January 2018 to April 2019. During this period, a total of 120 forest frontline staff were trained for patrol-based monitoring, data analysis, and illegal activities. All the old and new patrol routes were monitored every week and collected data on illegal activities, along with direct/indirect encounters of mammals. All the patrol effort was examined in terms of monthly man-days of patrol eﬀort and distances walked (km). The present study showed that during 2018-2019, patrol performance was improved by 338.1%, and illegal activities were reduced by 32.65% in Nandhaur Wildlife Sanctuary. Our result showed that the patrol team covered 1971 km in 2016, 2027 km in 2017, 7123 km in 2018, and 1512 km up to April 2019. Along the patrol track, the patrol team counted all encounters with illegal activities and mammals direct and indirect sighting. The current law enforcement monitoring results support recommendation and management of the sanctuary.
Systematic Review Paper on Influence of Ingenious Human Resource Practices on Employee Engagement during Pandemic in Banking Sector
Authors: Goyal Anjali , Khatri Bhanupriya
Published: April 2022

The COVID-19 epidemic has a profound impact on the global economy and human health. However, in contrast to the global financial crisis of 2007-2009, which required the use of taxpayers' money to rescue banks in many countries, banks are being asked to help reduce the impact of COVID-19 and participate in economic recovery during this time. At the time of the epidemic, the organization was the development of many active participatory activities, such as online family interaction and practice, visual learning, and online construction, team building, training workshops, weekly, or online, video conference, and short sessions, online games, games, challenges and competitions, or online courses, thanks, and times, tests, communication, and game times, online support, insight, and is the sole discretion of the session of workshops devoted to anxiety and stress, meditation, and social interaction in the virtual office, digital class, modules, e‐learning, and many other creative courses. The inclusion of the in-house activity, it is very suitable for both the employees and the organizations. In light of this, the study investigates with an emphasis on the Indian banking sector, the responsible measures were approved by banks to reduce the negative effects of the epidemic on its employees and the community. The findings of our article are based on review of documents and reviews of major banking websites.
Design and Performance Comparison of Effect of Different Switching Sources on Thermoelectric Energy Harvesting Using Single-Inductor Boost Converters
Authors: Yadav Deepshikha , Azad Puneet
Published: April 2022

This paper presents a comparison for the amount of power generated using different switching sources in a DC-DC boost converter designed to generate 3-5 V output voltage. The desired output voltage is sufficient to charge a rechargeable battery. The input voltage is supplied by a commercially available thermoelectric generator module (TEG) when subjected to appropriate temperature gradient. Three boost converter circuit configurations with gate pulse, square wave, and PWM switching sources are designed to step-up the low DC voltage of 0.2 V from thermoelectric energy harvester. The output voltage and current levels are measured for estimating the amount of increase in output power. Gate pulsed switching in boost converter generated a highest output voltage of 5.26 V, while square wave triggered circuit could generate maximum 3.5 V. PWM based switching generated an output voltage of 1.98 V for input supply of 0.2 V.
Influence of Socio Demographic Factors on NPS Subscription – Enrollment Based Analysis
Authors: Mensumane Vishweshwar , Krishna Kumar K
Published: April 2022

More than 80% of the workers in India are employed in the private sector or informal sector. Informal sector workers who are not covered under pension plans may have to consider voluntary pension schemes earnestly to keep them out from any major financial distress in their old ages. Understanding early enrollment trends to dedicated pension and retirement products will help policy makers to take corrective actions wherever necessary. The purpose of this article is to see if there is any disparity in pension saving behavior based on various demographic parameters. The study discovered that demographic factors such as gender, age, annual income, education level, and occupation all have an impact on pension investment. Policy makers can compare this with some established benchmarks that in turn will help them to take some informed decision and can change the policies to encourage the enrollments.
Rectification of Defects Occurring in the Gate Valve Manufacturing Process by Implementing Six Sigma Methodology
Authors: Elumalai Vijayaragavan , Nachan Faizan Danish , Ahamed Sohail , Biswas Susobhan
Published: April 2022

Six Sigma is a methodology containing various tools and techniques to make improvement in a process. The purpose of this research is to reduce the defects, maximize the profit, and make small scale industries more efficient. This Six Sigma Project was conducted at a valve manufacturing industry located in Maharashtra. The industry was performing at Sigma Level 3.0 and the newly achieved Sigma Level is 3.5. It is predicted that if the solutions are continuously applied for 6 months then the industry can achieve Sigma Level up to 4.0. A control plan was also provided to the industry which will help them to keep implementing the solutions for a longer period of time. A lot of energy and material wastage is prevented by reducing the defects which is a huge benefit for the environment in the long run.
Demystifying the Role of Leanness, Agility, Innovativeness, and Sustainability in Manufacturing Industries: A Systematic Review and Meta-Analysis
Authors: Babber Gulshan , Keshav Shashi
Published: April 2022

This paper aims to review various prevalent manufacturing practices, such as leanness, agility, innovativeness, and sustainability in industries. This paper further investigates the scope of interconnections between them and explores various gaps that can be used for future research. An all-inclusive systematic review of 106 research papers was done during a time frame from 1991-2020 that considered numerous aspects, such as research tools and techniques used, data gathering approaches applied (empirical, case study, and literature review studies), and further data assortment techniques were also applied based on inquiry approach of various research methodologies (qualitative, quantitative, or mixed-method approach). This research paper also considered characteristics, such as country of origin, targeted demography, objectives, and publication timeline. Notably, leanness, agility, innovativeness, sustainability, performance measurement, and MSMEs are well studied and analyzed in prior studies. Moreover, research findings highlighted the popularity of these practices in large-scale industries. However, very little literature supports the acceptance of these practices in manufacturing MSMEs. Moreover, the holistic effect of these practices and their interrelationship is an important aspect that has been ignored in previous studies, so there is an urge for adequate attention towards the extensive literature review in this domain. This literature review only considered manufacturing industries and excluded the service industries. Notably, this literature review enlightens the path and shows future directions for research to develop efficient, effective, and sustainable manufacturing practices for manufacturing industries. The inferences from this study may enlighten a new path for future studies related to manufacturing MSMEs.
GCC Countries’ Financial Scenario: FDI Impression on GDP
Authors: Bijja Srinivas
Published: April 2022

Foreign direct investment is accumulation of equity capital, borrowings, and plough back of gains. Foreign financing inflows have significant effect in transforming economy of a nation. However, this investigation makes an effort to test the significance of FDI inflows on GDP apropos constituent countries of Gulf Cooperation Council. The study commenced with the motive to check the trend in FDI inflows and its growth rate, FDI’s impression on GDP, and impact of FDI on per capita GDP in GCC countries. The study is based on secondary data and analytical research design is applied. The study utilized a data of GDP and per capita GDP pertaining from 2000 to 2019. Statistical techniques, such as two-way ANOVA and pair-wise comparison, are applied. It can be concluded that there is cogent variation in GDP and per capita GDP due to inflow of FDI among GCC countries.
Sentiment Analysis on COVID-19 Related Social Distancing Across the Globe Using Twitter Data
Authors: R Jyothsna , V Rohini , Paulose Joy
Published: April 2022

The Covid-19 pandemic has devastated the lives of several people across the globe. Social distancing is considered a major preventive measure to stop the spread of COVID-19. The practice of social distancing has caused a sense of loneliness and mental health problems in society. The aim of this study is to consider global tweet data with social distancing keywords for analyzing the sentiments behind them. Classification of tweets as positive or negative is carried out using Support Vector Machine and Logistic Regression.
A Revisit to Research on Corporate Governance Using Systematic Literature Review
Authors: Madaan Deepika Arora , Mehta Kiran , Sharma Renuka
Published: April 2022

The purpose of this paper is to systematically review the emergence and structure of corporate governance in Indian context. Accounting scandals like Enron, Waste Management, Worldcom, Tyco, Satyam, etc. have shaken the investors’ confidence. The need of the hour is to have corporate governance regulations to be practically applicable according to the country specific situations. The motivation behind this study is that in spite of having impressive growth pattern in India, the published academic work on Corporate Governance is less as compared to other developing countries of the world. The present study is going to examine the relationship between the elements of board composition on the financial health of a firm, which may provide useful insights into the factors that may be taken into consideration. The paper will help the regulators, policymakers, stakeholders, and the academicians in this direction and provide a future scope of action.
Design of Solar Cell Temperature-Based Single Parameter Model of PV Modules
Authors: Khyani Harish Kumar , Vajpai Jayashri
Published: April 2022

Single parameter models are useful for assessing the impact of a particular parameter on a complex phenomenon, while holding other influencing factors at standardized constant values. Such models are essential for performance estimation and prediction of output with due parametric analysis. The output power and the efficiency of photovoltaic cells are primarily governed by cell temperature that ranges between 50°C to 75°C in different seasons in India. The increase in temperature causes the development of thermal stresses in the panel and affects its life span. This paper proposes a methodology for designing a single parameter model of a PV module with respect to cell temperature for estimating the loss of performance and accurate prediction of the power output. The proposed methodology has been validated for three different modules used by researchers. The model accuracy has been found to be better than 98% in all cases.
Detection and Classification of Brain Tumor from MR Images Using an Improvised Image Analysis Algorithm
Authors: K Dinesh Babu , C Senthil Singh
Published: April 2022

Early detection of brain tumour and its classification are predominantly achieved by conventional methods of image processing and machine learning. Brain tumour, known for its rapid development in terms of size and effects over human health, has to be detected immediately from the onset for an effective diagnosis. Unless a treatment plan is defined to mitigate further growth, there are high chances of fatality. Detecting and classifying processes are an exigent task even for experienced radiologists. Segmentation and feature extraction are traditional image processing techniques used for the purpose. Nowadays, a computer-aided diagnosis system is merged with machine learning and deep learning strategies for distinguishing tumour cells. The proposed system is an investigation of classifying brain tumour in its early stages using enriched feature sets support vector machine classifiers for increasing the precision of accuracy. Dice coefficient was introduced, along with the said methods, to ensure classification accuracy. Enrichment of the features was achieved by area-based analysis with prospective growth metrics on a four quadrants designated on two-dimensional plane. Genetic algorithm with soft computing techniques improvised the classification accuracy. Two standard and open source data sets deployed the proposed model, which resulted in an accuracy of 98%, sensitivity of 92%, and the specificity of 98.1% as an average. The proposed model also consumed lesser time than the conventional standards with respect to detection and classification of brain tumours.
Comparison of Al2O3-Reinforced Sintered and Extruded AA2014 Nano-Hybrid Composite Particle Size Effects on Mechanical and Metallurgical Characteristics
Authors: B Ramesh , Vempati Srinivas , P Roshith , A Thanikasalam
Published: April 2022

Researchers are interested in developing new nano-composite materials because aluminium metal matrix composites (AMCs) have unique properties. An essential goal of this research is to compare the effects on the AA2014 hybrid nano-composite of varying weight percentages of Al2O3 particles (micro-size 30–60 nm and nano-size (60–90 nm)). To fully characterize the composites, mechanical and metallurgical tests are performed on them. To perform a comparative analysis, alumina-reinforced particles weight percentages (1–10%) are varied. Mechanical characteristics such as yield strength-280 MPa and ultimate tensile strength-290 MPa significantly improve the AA2014 hybrid composite third sample compared to the other models. In the sintered samples, the interfacial bonding between AA2014 and Al2O3 was as small as possible (90 Vickers hardness number). Extruded composite in the third sample (330 MPa) has 1.157 times the compressive strength of a sintered sample. The analysis of the AA2014 hybrid composite identifies aggregation and segregation of alumina-reinforced nanoparticles.
A Novel Manufacturing Process for Nanosilica Carbide Reinforced Al2024 Matrix Composites
Authors: N Mohan Rajhu , C Jayabalan , M Siva , B Ramesh
Published: April 2022

Fabrication of SiC nanoparticle enhanced Al2024 composite material with near-net form SiC nano particles is discussed in this research using the flake powder metallurgy (PM) technique. Analysis of particle size and quantity of Silicon Carbide (SiC) nanoparticles in flake Al2024 matrix granules along with their effect on particle distribution, structure, relative compactness, and hardness were conducted. The granules Al2024 substrate particles were combined to 3 various size of some as Al2024 powders using a ball milling process. With intergranular wide enough to incorporate reinforcements, the Al2024 matrix powders were discovered to have flake-like microstructures with distributed SiC nanoparticles spread throughout. Hot pressed density raised as a result of the slight frictional forces among the thin flake elements. The rigidity of Aluminium Alloy 2021/Silicon carbide nanocomposites was employed to expand the size of matrix particles.