bluuebunny/crossref_metadata_2025 huggingface dataset:
Thiazole Scaffold: An Overview on Its Synthetic and Pharmaceutical Aspects
Authors: Mishra Isha , Sachan Neetu
Published: April 2022

Thiazole and its derivatives have risen to prominence as an important scaffold, attracting the attention of researchers in the area of medicinal chemistry due to their remarkable variety of biological activities. The thiazole moiety has been identified as an essential component in the structure of therapeutic agents including Ravuconazole, Sulfathiazole, Meloxicam, and Ritonavir, and is extensively utilized as an antimicrobial, anticancer, anti-inflammatory, antioxidant, and antiretroviral agent. The thiazole moiety's versatility has already been shown by the vast use of its derivatives with anticancer, anti-HIV, antibacterial, anti-inflammatory, antiallergic, antioxidant, and analgesic actions. For its unique potential in various activities, this moiety's broad array of living response accounts has captivated numerous researchers. This study aims to further the biological potential of thiazole derivatives, whether as a core moiety or as a substituent, to eventually synthesize a diverse array of therapeutic entities.
Data Mining Analysis for Precision Agriculture: A Comprehensive Survey
Authors: Aishwarya K , Jabbar MA
Published: April 2022

Agriculture remains to be a critical industry for the majority of countries. It is the primary source of food for the whole world's population. It does, however, confront a significant challenge: producing more and better while also boosting sustainability via prudent use of natural resources, decreasing environmental damage, and responding to climate change. As a result, it is critical to the transition from old to contemporary farming practices. Precision agriculture is one of the options for addressing the increased need for food while also maintaining sustainability. The importance of information is growing in precision agriculture. Information about weather conditions, soils, illnesses, insects, seeds, fertilizers, and other factors contribute significantly to the sector's economic and long-term development. The collection, transmission, selection, and analysis of data are all part of precision management. As the amount of agricultural data grows, powerful analytical approaches capable of processing and evaluating enormous volumes of data to acquire more trustworthy information and much more precise forecasts are becoming increasingly important for handling real-time data analysis with vast data. Data mining is projected to play a critical role in precision agriculture. This study aims to analyze current studies and research on precision agriculture that use the modern technique of data mining to tackle some agricultural issues.
Study of PMAYU India: Affordable Housing for All
Authors: Jadhav Babasaheb , Phadke Ravi , Patil Sudhir
Published: April 2022

Indian economy is rapidly growing Asian economy in the globe. Government of India has introduced various schemes and policies in order to up-liftment of standard of living of the society. This research paper discussed all about PMAY Urban scheme, progress, performance, investments, and success. Affordable Housing for All is centrally launched mission of Government of India with an vision of fulfillment of housing requirement of urbans by 2022 through following program verticals: Slum rehabilitation.  Affordable Housing through CLSS.  Affordable Housing in Partnership.  Interest subsidies.
Biosorption Behaviour of Groundnut Husk on Removal of Copper (II) from Aqueous Solution
Authors: Malkhede Shubhangi S. , Rao Y R M
Published: April 2022

The world is facing a very big issue related to the presence in high proportion of very contaminated substance like copper as well as lead in the water, which can lead to health problems too. An existence of those metal ions in higher concentration may cause severe health problems to human beings and animals. The heavy metal should be extracted from the water which is very much toxic in nature, the method for this should be cost-effective and maintain the safety as well. In this perspective, the scholars across the globe are working on the economical invention for this serious problem. The discovery of the agro-based adsorbent material is highly demanding and the possibility of these material for removal of the toxic material present in the water. It is well known that the adsorption procedure is suitable for different water types and make possible of the removal of heavy metal ions, i.e. HM ions. The present work is related to solve this problem using Powdered Groundnut Husk, which is obtained from easy available agricultural by-products like Powdered Groundnut Husk (PGH) and Powder Activated Carbon (PAC). The batch mode method is used for the extraction of the Cu from the solution which is aqueous in nature. The properties of the pH solution on the efficiency of the removing of heavy metals using PGH and PAC have been investigated in the present work.
Ophthalmic Manifestation of COVID-19 Disease
Authors: Sawarkar Siddhant , Jaiswal Sapan
Published: April 2022

Coronavirus is the novel coronavirus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). It's a non-segmented enveloped positive sense RNA virus with 82 percent genetic similarity to the SARS coronavirus (SARSCoV), which sparked an outbreak in early 2003. Respiratory droplets are assumed to be the primary mechanism of transmission because the virus is found in respiratory secretions. Conjunctival transmission and aerosol transmission have also been proposed, however they are also problematic. Fever, tiredness, and dry mouth are the three most prevalent COVID-19 clinical symptoms. In several patients, however, conjunctivitis was the initial symptom. The disease's respiratory complications have been the focus of diagnostic and therapeutic efforts, However, a number of ocular concerns have surfaced. Infected patients' tears have been confirmed to contain SARSCov2 RNA, and studies indicate that the virus is spreading. For viral transmission, the ocular surface could serve as both an entry point and a reservoir. COVID-19 has been linked to mild conjunctivitis, which can be the disease's first and only symptom. Ocular symptoms can be treated with observation without therapy, antibacterial eye drops, antiviral eye drops, and antiallergic eye drops, according to clinical trials. As a result, the only recommended treatment for COVID-19 related ocular manifestations is close observation. The motivation behind this examination was to investigate the event of visual appearances in patients who had been determined to have COVID illness 2019 (coronavirus) because of serious intense respiratory condition.
Transport Properties of Novel LaCoTiIn Equiatomic Quaternary Heusler Alloy for Thermoelectric Energy Conversion
Authors: Aravindan V. , Rajarajan A. K. , Vijayanarayanan V. , Mahendran M.
Published: April 2022

The emergence of new thermoelectric materials for energy generation is crucial to satisfying the world's energy demand. The electron charge density and thermoelectric transport properties of the LaCoTiIn quaternary Heusler alloy were investigated in this study. We used the Generalized Gradient Approximation (GGA – PBE) exchange correlation potential to illustrate the physical properties of a material. The electronic structure of the alloy shows half-metallic ferromagnetic behavior. The minority spin channel's small band gap enhances its thermoelectric characteristics. The high electrical conductivity, small thermal conductivity, and good figure of merit all indicate that this material could be a suitable material to employ in thermoelectric energy conversion.
CoviDet: COVID-19 Case Detection Utilizing Deep Neural Networks Using X-Ray Images
Authors: Bhosalea Prasad , Koul Rishab , Kinkar Ketki , Shaik Sulaeman , Shikalgar Sajeeda
Published: April 2022

Many people developed serious respiratory issues as a result of the Coronavirus illness outbreak, which was recognized as a global health threat. Because the virus initially targets the lungs in the human body, chest X-ray imaging features were thought to be effective for early identification of the illness. The chest X-ray data of 141 infected patients and 142 non-infected patients (112 images in training dataset and 30 in test dataset each) was utilized to develop a CNN (Convolutional Neural Network) model for early disease identification in this study, which was based on open data from Cohen J., Morrison P., Dao L., 2020. The model was trained with 100 epochs of both infected and non-infected people's chest X-ray pictures, resulting in a final accuracy of 0.97. In order to use this model as a professional diagnosis element, it is highly recommended it be improved with more images and the model can be restructured to get a better accuracy.
Studies on the Microstructure of Epoxy-Cement Mortar
Authors: J. Mohmmed Mohmmed , Owaid Khalid M. , Raouf Raouf M.
Published: April 2022

Introduction of polymers into the cement composites improves same of the properties of concretes and mortars. Therefore, the polymer-cement composites are successfully used in construction. The model of microstructure formation in cement composites modified with thermoplastic polymer (pre-mix modifiers) has already been developed and successfully implemented. However, the formation of microstructure in the case of epoxy-cement composites (containing post-mix modifier) demonstrates same peculiarities which should be taken into account when modelling the process. The microstructure of epoxy-cement composites and its formation is discussed in the paper. The model is offered, formulated on the basis of the microscopic observations and results of testing.
The Ophthalmic Manifestation and Transference of Covid 19: Recommendation for Inhibition
Authors: Gaikwad Chetan , Selukar Kanchan , Gahat Pranay , Lute Bhavna
Published: April 2022

The aim of the research was to see if there were any ocular surface symptoms in individuals who had coronavirus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus (SARS-CoV-2). SARS-CoV2 is usually transmitted by way ofintimate interaction through pulmonary secretions; therefore, ocular transmission be also a risk, relating to the conjunctiva functioning like both a means of expression and a source of infectivity. COVID-19 ocular manifestations very commonly described included eye discomfort, redness, discharge, and follicular conjunctivitis. The presence of the CD147 and ACE2 receptors in ocular cells membrane indicates which these cells may act as a gateway of entrance point for SARS Coronavirus 2. Considering the absence of virus infection in tears and conjunctival swabs, the RT-PCR findings that were negative do not, SARS CoV 2 is considered out as a risk being present into ocular fluids. Microorganisms may transfer to the nasal passages by continual tear flow through the lacrimal duct pathway, producing illness. Although the eyes are considered to be the primary mode of transmission, their significance in increase of SARS Covid2 cannot be neglected. Medical professionals must inquire about patients' eye symptoms that are compatible with SARS-CoV2, utilizeprotective eyewear In addition to masks, typical personal protective equipment for high-risk patients includes goggles or face shields worn by either the patients and health care providers, and detect tearing as the cause of the sickness.
A Disposable, Environment – Friendly, Cost-Effective Paper Based Electrochemical Cholesterol Biosensor Fabricated Using Screen Printing Technique
Authors: G. B. V. S. Lakshmi , Kondal Siddharth , Dhiman Tarun Kumar , Gupta Pramod K. , Solanki Partima
Published: April 2022

An electrochemical screen-printed paper based analytical device (EµPAD) was fabricated for the detection of cholesterol based on two electrode system. The working electrode of EµPAD was coated with graphene oxide (GO) and polyaniline composite. The GO was chemically synthesized in the laboratory using modified hummer’s method and characterized using XRD, Raman, UV – Visible absorption, FTIR spectroscopies, and SEM studies. Cholesterol oxidase (ChOx) enzyme was immobilized on the GO/PANI modified EµPAD for the electrochemical detection of cholesterol using cyclic voltammetry (CV) and chronoamperometry. In both measurements, the current increased when the concentration of cholesterol increases from 1 mM to 10 mM. This increase in current with increase in cholesterol concentration was due to fact that more H2O2 molecules were generated when the cholesterol concentration was increased. Further, H2O2 is oxidized and electrons were generated which enhanced the current.
Otolith Increment Formation Reveals Growth Pattern in Early Life History of Tropical Clownfish Amphiprion Ocellaris
Authors: Nguyen Hai-Thanh T. , Skadal Julie , Geffen Audrey J.
Published: April 2022

Planktonic stage is critical for survival, dispersal, and recruitment of marine shore fishes. As provide the most accurate estimates of daily growth, otolith has been used as a useful tool for studying larval dispersal and growth, and has been applied to several coral reef fish species. However, the early life history of Amphiprion ocelaris, the tropical clownfish, is not well studied. In this study, we investigated the otolith microstructure of the false clownfish A. ocellaris and validated the daily increment deposition in laboratory reared embryos and larvae stained with Alizarin Red S. A. ocellaris formed clear otolith increments during the embryo and early larval stage, with a pattern corresponding to physiological and ecological events and transitions. These findings are expected to be applied to estimate post settlement growth rates, age determination, distribution and population structure of wild clownfishes, and other damselfishes at early life.
Production of Hydrogen by Biological Method from Crude Glycerol
Authors: P Brijesh , S Priya , Kumar Rakesh , Madane Tejas S , Kalamadi Poojarani C , MK Kruthika
Published: April 2022

Pollution and energy crises are the major problems faced by the world, so many developments and innovation are made in the field of renewable sources of energy, such as solar, wind, improvement in energy storage technology, etc. One such renewable, green, and non-polluting form of energy like hydrogen can be used as it is a clean, effective, and green fuel. Unlike other fuels, hydrogen doesn’t leave carbon traces. It suits the best for the environment. Bio diesel is one of those alternative fuels which have picked up keen interest of people due to its similar properties of diesel [1]. The aim of this project is to use crude glycerol along as a base nutrient medium for Klebsiella pneumoniae bacteria, which is done under anaerobic batch dark fermentation condition. The parameters such as inoculum size and pH are varied to find the optimal condition for high yield or hydrogen production content. When the strain is grown in the optimized condition in a bioreactor for batch production, hydrogen yield reaches maximum in some conditions which are shown in graph {4(b), 4(c), 4(d)} and some of the other gases are also produced which is sent for the gas analysis and H2 concentration is also measured. The main aim is to utilize the crude glycerol effectively as substrate for biological hydrogen production process which has socio-economic advantages [2].
Design and Optimization of FGVM Acoustic Linings for Deep-Water Applications
Authors: Mishra Shobhit , Panigrahi Satyanarayan
Published: April 2022

Anechoic linings are vital for maritime applications in reducing the underwater radiated noise. The design of such a lining necessarily encapsulates scatterers distributed inside a viscoelastic material. The suitability of functionally graded viscoelastic materials to such applications has not been fully exploited. The present paper focuses on development of an optimized acoustic lining for various applications. A transfer matrix based analytical model has been formulated and has been validated numerically, followed by optimization of the material properties using genetic algorithm and a novel optimization tool based on weight functions. Results show that such materials are effective in obtaining the desired acoustic characteristics. Further, they are found to be retaining their performance under hydrostatic pressures. The effect of thickness of various layers and configurations has been discussed.
Transformation Of Legal Regulation Of Labor in Ukraine In The Context Of The Experience Of Foreign Countries Under Covid-19 Conditions
Authors: Melnychuk Olha F. , Melnychuk Oleh A. , Polishchuk Anna S. , Ishchuk Andrii M.
Published: April 2022

The article examines transformation of the legal regulation of flexible working hours, home-based work and teleworking in Ukraine in the context of the experience of foreign countries during the COVID-19 pandemic. It is investigated that under quarantine conditions the application of these forms of labour organization has increased and their legislative regulation in Ukraine and foreign countries has improved. Currently, in Ukraine flexible working hours are applied not only to employees who work under an employment contract, but also to government employees. The legal regulation of home-based work and teleworking has undergone some transformations from their initial identification to the subsequent differentiation. Legislative consolidation of teleworking has led to the establishment of a new institution, namely the right to disconnect (the period of free time of the employee who works remotely). Comparative characteristics of flexible working hours, home-based work and teleworking according to the laws of Ukraine are identified. It has been found that the legalization of non-traditional forms of labour organization including flexible working hours, home-based work and teleworking under quarantine conditions has allowed maintaining the stability of labour relations, ensuring social distance of workers and reducing the morbidity level during the COVID-19 pandemic.
A Road to Become Successful in The Fashion Industry of China: A Case Study of Zara
Authors: A Shameem , T S Poornachandrika , Giri Pratibha , Kaur Palvinder
Published: April 2022

In this research, it was found that Zara is facing issues while maintain its profitability and also while maintaining its large stores. Existing information collected from websites and articles show that Zara provides inferior quality products, does not have factory in China, focuses less on e-commerce activities, and contributes directly to environment pollution through waste generation in China. These are reasons that the organization is losing its brand image in China. To improve its current condition, it is recommended that Zara should improve its products, focus more on marketing, develop factories in China and reduce environment pollution.
A Virtual Reality Based Interactive Android Educational Application
Authors: A Sathya , L Priya , P Kumar
Published: April 2022

Programming is one of the most required skills set in today’s IT world. Students find it difficult to learn complex programming structure with different syntax. In general, they can learn through online courses or by using books. However, sometimes, it shuttles the thrust of learning programming as it follows some traditional methodologies and it is true that there is no innovative or interesting way to learn programming conceptually. Hence, an interactive and gamified mode of learning is essential and has been developed using unity 3D. As a result of the transition from the Information Age to the Experience Age, educators face significant challenges. Students, for example, are passive and disengaged, and they might even struggle to see the significance of what they are learning to their existences; additionally, important skills required for 21st century learners – such as empathy, organizational theory, creativity, supercomputing literacy, and analytical thinking – are difficult to teach. Virtual reality, as an immersive, hands-on learning tool, has the potential to play a distinctive role in meeting these educational challenges. In this paper, we show how the attributes of virtual reality can lead to new possibilities for learners. We wrap up by discussing suggestions and next steps.
Assessment of PUBMED Indexed Scientific Productions Related to Nutritional Status of Geriatric Patients: A Bibliometric Analysis
Authors: Revankar Ramnath , Pande Dr. Samidha S. , Meshram Mrunal G.
Published: April 2022

Geriatric patients (GP) have been on a rise in the past few decades. It is very essential to assess the nutritional status (NS) of such patients for constant care and support. So the aim of this bibliometric analysis was to provide a summary of countries, universities, authors, journals, and research data related to nutritional status in geriatric patients. Methodology: Many studies related to nutritional status (NS) in geriatric patients (GP) have been published in PubMed indexed journals from 2011 to 2021. Data was extracted from the Science Citation Index expanded core database. Publication of authors, journals, universities, and countries were retrieved and quantitatively analyzed using the R-Studio biblioshiny package.The core data set included a total of 43 Journals and books. 195 documents were recognized. Top 20 PubMed indexed journals were selected which published the data regarding NS. 20 universities were also analyzed for NS in GP. Average years from publication are 4.57 years. Results: A total of 195 documents were extracted. Documents were derived from 2011-2021. The number of documents/publications research steadily increased from 2011 to 2013. Then there was a fall in number of papers and research articles. Over the time, from 2015 till 2017, publications have steeply increased from all over the world. Again there was a gradual decrease in the articles from 2017-2021.
Smart Assistant for Enhancing Agronomics
Authors: A Sathya , L Priya , K Poornimathi , J Anitha
Published: April 2022

Agriculture has been considered the backbone of India. But the growth of agriculture has declined in recent years which leads to a significant fall in the overall Gross Domestic Product (GDP). The Indian agricultural sector is on the brink of failure due to several factors like crop failures and farmer suicides. Even though there are a lot of help centers, welfare schemes, and modern technologies that the government provides, very few have adequate knowledge about that and fail to utilize them. Farmers are not ready to adapt to new methodologies and machineries. Thus, educating them in modern agriculture and equipping them with necessary modern machinery in a proper way is significantly crucial. This system makes the farmer aware of all the welfare schemes and subsidies provided by the government in case of any loss due to the natural disaster or any other relevant activities and helps the farmers to utilize them for the welfare of the crop. E services for crops and government schemes aim to provide information about the services or schemes available for the farmers. Farmers can also apply for the scheme for which they are eligible through the application. They buy and rent machinery from the government by availing the discounts they are eligible. Thus, the overall system acts as an apprentice for farmers and helps them to efficiently cultivate crops and maximize productivity.
Facilitating the New Normal: Challenges and Opportunities of Facility Management Companies in India
Authors: Thomas Nita , M Umasankar , Srihari Boopathy
Published: April 2022

COVID-19 has brought the world to a standstill. The hospitality, travel, and tourism being affected the most due to travel restrictions across the world and within India. One of the sectors that have been affected majorly are the industries providing Facility Management (FM) services to core businesses. FM is dependent on the type of client business, the client organization’s structure, and the market sector. This paper aims to gauge the impact of the pandemic on the FM companies in India. This also captures the positive and negative aspect of pandemic on the FM. An empirical research design has adopted to address the study objectives. This research involves both primary and secondary data. Primary data for the study have been collected in the form of structured questionnaire distributed among 300 respondents who are senior executives heading selected FM companies in India. The target respondents have been selected based on simple random sampling to ensure the normal distribution of data.
Electronic Educational Dimension of Law Enforcement in a Pandemic and Post-Pandemic World
Authors: Barikova Anna , Bernaziuk Yan
Published: April 2022

It was proposed to teach municipal officials and other bodies related to law enforcement, starting with children of senior school age, critical thinking, methods of correct, reasoned, legitimate and effective behavior, established by universal law enforcement practices. In the educational element of law enforcement work in the criteria of a pandemic and post-pandemic, the development of an artificial origin of the mind will allow to achieve the appropriate goals: optimization of analytics (a quick and comprehensive study of the history and tasks with unclear reasons and relationships that determine the likely development scenarios); predictive quality (full and objective discussion of changes in the external environment, identification of trends and real goals of authorities and individuals in law enforcement; multilateral identification of probable types of history, taking into account the results of conclusions, comparison of cases); ensuring sustainable development (developing a strategy for applying impartial trends in the interests of state authorities, society, and the individual for cooperation to merit sustainable development).
Air Quality Decrement After Lockdown in Major Cities of Rajasthan, India
Authors: Kuldeep Kuldeep , Kumar Porush , Kamboj Pawan , Mathur Anil K.
Published: April 2022

The lockdown restrictions during the COVID-19 pandemic provided a 'path' of reinstatement of the air quality globally. Despite several financial challenges, air quality improvement positively impacted the environment due to lockdown in the worst pandemic situations. The present study assessed the air pollution scenario in the post lockdown phase in the seven major metropolises of Rajasthan, namely, Jodhpur, Alwar, Jaipur, Kota, Pali, Ajmer, and Udaipur, in the recent pandemic year 2020. The air pollution scenario is determined with the help of the Air Quality Index (AQI) and the concentration level of PM2.5, PM10, NO2, and SO2. This study reveals that most cities of Rajasthan are violating India's national ambient air quality standards (NAAQS). It is found that Jodhpur is on rank first in terms of pollution levels, followed by Alwar, Jaipur, Pali, and Udaipur. The pollution level was higher before the lockdown period then reduced to a certain level due to restricted activities in lockdown. The pollution level is not rapidly increased after lockdown due to rainfall from the southwest monsoon. Winter season consists of higher concentration levels of pollutant and higher than before lockdown period. The study shows the significant impact of lockdown in reducing air pollution levels in cities. But imposing lockdown in a city or country is not a permanent solution to curb air pollution. So, regulating agencies and stakeholders should implement better control and reduction technologies for Indian cities.
The Child and Women Safety with Wearable Devices
Authors: Ramalingam Anushree , D Annapoorani , K Sowmiya Shree , S Sri Ranjani , B Manikandan , R Aathilingam
Published: April 2022

In today's environment, the safety of children and women is becoming increasingly crucial. Women's crime is rising day by day. To address this problem, a technology-driven solution based on the most recent technical advances can be devised. This is an IoT-based solution that will assist us in effectively combating the conditions. Camera, GPS, GSM, microphone, and voice recognition modules are all hidden inside. The voice command will send an SOS signal to the people on your contact list as well as local authorities. Authorities can rush to the scene of the occurrence and stop it from happening. Immediately when the instruction through voice is turned on, the camera begins recording, and uploading the data to cloud storage. The recordings from the camera will be utilized for finding the criminal.
Regulatory Measures and Priorities in Response in Oman to the COVID-19 Pandemic
Authors: Fayaz Ahamed, , Chenniappan Loganathan , Rafiq Mohamed
Published: April 2022

The coronavirus is a type of virus that can cause a variety of illnesses, from minor respiratory infections to serious pneumonia. The coronavirus (COVID-19) is a brand-new form of coronavirus that has never been seen in humans before. The virus's first case was discovered in Wuhan. The first incident in Oman included a trip to Iran. The impact of coronavirus (COVID-19) is having a significant impact on every aspect of our lives in the Middle East and other countries across the world. The local government has made every effort to reduce the impact of this virus on citizens and residents by launching a national campaign for Oman Vs. COVID-19 and the work from home (WFH) initiative were very successful during the lockdown in support of companies, according to the mandate of the government. The present study aims to explore the role of various initiatives taken by authorities and measures the other viable options to the pandemic. Omanis trust the country's ability to rebound from the global COVID-19 pandemic and in the country's ability to outperform other countries in the region in terms of economic growth. It concludes that the authorities have considered adopting emergency measures to assist residents in managing their work and care, to strengthen and expand income support measures, to broaden support for SMEs and self-employed people, and to improve measures for health care services for all.
Impact of Work Life Balance (WLB) on Job Switching Behavior: An Empirical Study
Authors: Shikhare .Rachana , U Umesh , Murthy G. Radha Krishna , Kotaiah Bonthu
Published: April 2022

To date, researchers who have done work life balance (WLB) have mainly focused on work and the family domain. However, the present-day workforce is heterogenous in nature and the workers might even value the other domains of non-working apart from family. These researchers mainly aim at investigating the significance of the other domains of non-working in work life balance with a special focus on the health of workers. Besides the meaning of the effect of balance between serious and fun activities and work well-being balance on representative fulfillment was evaluated. Likewise, these examinations investigate the impact of balance between serious and fun activities and work well-being balance on change in the degree of representative fulfillment according to the qualities of the laborers, including parental status, age, work capacity, and sex. The consequences of studies show that the specialists believe well-being to be a significant factor in the space of balance between fun and serious activities. Work well-being balance clarifies a greater amount of change in representative fulfillment when contrasted with balance between fun and serious activities. A sample of 311 respondents was surveyed to find the factors related to work life balance and their impact on job switching behavior. After applying factor analysis, a statistical tool, and analyzing the data, the study concludes that work health balance, job satisfaction, work environment, relation with management and co-workers, and work and personal life balance are the different factors related to work life balance that shows significant impact on job switching behavior.
Adapting Cities for Climate Resilience with Reference to Bangalore Metropolitan Region
Authors: Kollarath Reshmi Manikoth , Sheriff Vaseem Anjum
Published: April 2022

Climate change is no longer the distant possibility as thought before. The perils of climate change have already become a serious cause of concern as can be seen from the various weather related events that have been occurring across the globe in the past few years, and the incidence of these natural disasters brought on by climate change have been on the rise. Global temperatures have reached an all-time high. Sea levels have been steadily increasing with polar icecaps melting at an alarming rate. Climate change are causing extreme rain events with less number of rainy days causing flooding as experienced in Kerala in 2018, and the same cities face extreme heat and drought during the summer seasons. Most cities in India including Mumbai and Chennai.
Noise Estimation Using Back Propagation Neural Networks
Authors: Singh D. , Kaur A.
Published: April 2022

In this paper, a new Backpropagation Neural Network-based noise estimation method is proposed to estimate Rician noise from MRI images. To train BNN features of MRI images such as contrast, homogeneity, dissimilarity, asm, energy, entropy, mean x, mean y, mean glcm, var x, var y, var glcm, correlation, skew x, skew y, skew, kurtosis x, kurtosis y, kurtosis, etc. are used. For training BNN, 450 images are used which are downloaded from BrainWeb.
Analysis of Contrast and Correlation Between Deep Learning Algorithms for Diagnosis of COVID-19 from Lung Ultrasonography
Authors: Rajagopal Sivakumar , Goswami Radha Debal , Tiwari Rajat , Sabhapandit Eshan , Soangra Rahul
Published: April 2022

Identification of COVID-19 in patients from chest Computed Tomography (CT) scan has been the most prevalent approach, but it exposes the patient to X-ray radiations and is not a suitable approach for frequent monitoring. Computer analysis of ultrasound pulmonary images is a relatively modern approach that showed promising ways to diagnose pulmonary states that are a profitable and safer alternative to CT scan. Deep learning techniques for computerized study of Lung Ultrasound (LUS) images offer promising opportunities for identifying and diagnosing COVID-19. This paper aims to bring up a Convolution Neural Networking (CNN) model, which accurately predicts the condition of COVID-19 via the output produced lung ultrasound. Three models were developed using various parameters and were tested on the same dataset in order to compare each on standard statistical procedures. The best model achieved an accuracy of 94.67%, sensitivity 55%, and specificity of 60% on the test data.
Mother Tongue As A Medium Of Instruction In Gujarat: Measuring The Impact On Personality Development In Children Through Core Self-Evaluation Approach
Authors: Bhati Parulkumari , Burra Rahul Gandhi
Published: April 2022

Quality education is one of the key sustainable development goals. The new education policy in India emphasizes on mother tongue instruction up to class 5 to foster a faster learning process, improved learning outcomes, enhanced classroom participation, and decrease in school dropout rate. These benefits, if experienced, help in building the personality of the child and enhances the quality of education. This study is an attempt to understand the impact of mother tongue-based instruction until class 5 on the personality development of the child through core self-evaluation scale. A total of 600 children whose mother tongue is Gujarati, who underwent mother tongue-based instruction until class 5 and are now studying in 6th, 7th, and 8th classes in Gujarati medium schools in Gandhinagar district, Gujarat have been considered for the study. Results showed that there no impact of mother tongue-based instruction on the personality development of a child.
Design and Development of High-Performance 3kW Electric Vehicle Grade Switched Reluctance Motor
Authors: M Deepak , G Janaki , C Bharatiraja
Published: April 2022

The growth of Electric Vehicles (EV) moving towards to go green in the world. The high cost of EVs mainly depends on an electric motor. The Switched Reluctance Motor (SRM) speed-torque characteristics are perfectly suited for EV drive. Compared to other poly-phase machines, the SRM has high performance, magnet less, fault-tolerant, and high durability. The design has been carried out on electric vehicle grade modelling with different super core materials. This paper proposes the rating of 3kW, 3500rpm, and 8/6 topology by selecting stator and rotor optimal geometric parameters to design an efficient SRM configuration. The design step analyses the flux distribution uniform materials to analyze the performance of flux density, power, torque density, losses, efficiency, and torque ripple analysis. The finite element analysis is comparatively selected to improve the accuracy of material simulation for EV-SRM using Ansys Maxwell software to optimize the design for weight reduction, changing induction to reduce the acoustic noise.
Airway Management in Covid 19 Patients
Authors: Wagh Pankaj Wagh , Kanojiya Deepak R , Fulzele Sapna M. , Sarde Pratiksha V.
Published: April 2022

Those who work with COVID-19 patients airways are especially vulnerable. We present an empirical bit-by-bit strategy in order to guard in-hospital airway treatment of individual along COVID-19 disease, whether they are suspected or confirmed. The COVID-19 patient's airway care raises the danger of HCW exposure. Challenging extubation takes more time and might even entail many treatments with both the possibility for aerosolization, therefore rigorous attention to personal protective equipment (PPE) regulations is required to keep clinicians safe. Whenever an patient's airway risk evaluation indicates that awake tracheal intubation is the best option, therapies that produce greater secretion aerosolization should have been prevented. For decrease the chances of hypoxemia, optimal preoxygenation with a tight sealed facial mask might well be conducted beforehand to initiation. AMBU Bag during initiation should be avoided unless the patient experiences O2 depletion. Patients must be fully sedated with complete muscular relaxation for such best intubating circumstances. As a first-line technique for airway management, video laryngoscopy be suggested. If urgent invasive airway access is available, we advocate using a surgical approach like scalpel bougie-tube instead of an aerosolizing producing treatment like transtracheal jet ventilation.
Formulation of a Ginger Extract Liquid Bandage and Assessing Its Antimicrobial, Anti-Inflammatory, and Antioxidant Efficacy: An In-Vitro Study
Authors: Komandur Kavita , Salma Ummey , C Pushpalatha
Published: April 2022

A major difficulty for the successful eradication of oral infections is the dilution and rapid elimination of topically applied drugs due to the flushing action of saliva. Hence there is a need for a drug delivery system that can prolong retention of the locally applied drugs in the oral cavity. Aim: To design a liquid bandage containing ginger extracts (GELB) and evaluates its antioxidant efficacy. Methodology: Various concentrations of GELB were formulated and tested for antioxidant activity using DPPH scavenging assay. IC50 value using Graph Prism software version 5.0 by nonlinear regression analysis of % inhibition was recorded for different concentrations of GELB/standard. Results: In the DPPH assay, GELB showed a significant level of dose-dependent DPPH radical scavenging activity with IC50 value of 0.1993% when compared to standard with IC50 value of 4.099 µg/ml. Conclusion: The ginger extract liquid bandage has shown superior antioxidant properties against oral pathogens with satisfactory and sustained drug release.
Surface Mounted Active Vibration Cancellation Device Using Raspberry Pi
Authors: Mistry Yash Ashwin , Goel Kushagra
Published: April 2022

Active vibration cancellation device detects vibrations on a host surface using a piezoelectric vibration sensor, amplifies them using a signal amplifier, and sends them to a Raspberry Pi board implemented with PID control, responsible for signal processing, which further actuates Piezoelectric actuators vibrating at a phase difference of 180° to the vibrating surface (destructive interference) and reduces the vibrations over the surface. The device presented in this paper suggests an application that tries to make it accessible to a large group of people.
Design and Implementation of a PV Solar System for Regular Non-Commercial Use
Authors: Sinha Tulika Pravin , Nadar Abhida , Dalvi Adesh , Singh Deepak , Swami Shalini
Published: April 2022

As the study on utilization of solar energy is still ongoing, its utility in day- to-day life despite of being easy isn’t wide spread. Hence, it becomes important to set up small systems and analyze the overall impact and then slowly shift the electrical system from the conventional form to this eco-friendly solution. This project is an endeavor of understanding the pointers and designing solar based electrical circuit which is capable of running daily appliances along with studying the effect of variation of circuit design on the load. Analyzing the electrical parameters of the solar cells and thus setting up a circuit with optimum productivity is focused. Furthermore, in this paper, the obstacles that hurdle the large scale implementation of solar energy system is discussed and possible solutions for the same are proposed.
A NOVEL LEARNING VECTOR QUANTIZATION WITH HAMMING DISTANCE MEASURE FOR EFFECTIVE PREDICTION OF FAKE NEWS
Authors: M. Sudhakar , Kaliyamurthie K. P.
Published: April 2022

The main aim of the study is to improve the prediction rate in fake news detection. A novel Learning Vector Quantization (LVQ) with hamming distance is proposed for effective prediction of fake news. The sample size is calculated as N=10 for multi group analysis using the G-Power calculator. ISOT dataset is used for the study and the proposed learning vector quantization algorithm is executed and compared with three existing algorithms: Passive Aggressive classifier, LSTM and LS-SVM algorithm.
Design of Smart Energy Meter with IOT Using Arduino Mega
Authors: Nallasivam Manikandaprabu , R. Saravanavasan , A. Vignesh , S. Nandhu
Published: April 2022

Electricity is one of the essential needs of human. It's commonly used for domestic, industrial, and agricultural purposes in day-to-day life. Most folks know the role of the energy meter within the electricity grid. It’s a fundamental component of the distribution grid. The energy meter helps the utility (electricity distribution company) to account for the utilization of electricity by the buyer on a KW per hour basis. To know this we want to seek out the drawbacks of the present energy meter, and therefore the biggest problem in electricity metering. The most important problem in electricity distribution is collecting meter reading data. Straight away meter reading is collected manually, which provides scope for corruption and human error in reading. It is the wastage of manpower and utility of resources. Our existing electricity meter isn't tamper-proof. There is to several temper cases are detected. In the existing meter, there is no under voltage and over voltage protection, as well as there is no over power use alert system. Because of these problems, the utility is unable to gather a fine for max demand cross. Power theft is the biggest problem in recent days, which causes a lot of loss to electricity boards. To overcome these drawbacks, the IoT-based Smart Energy Meter (SEM) is developed.
Online Education and English Language Learning Among Tribal Students of Kerala
Authors: Alexander Meenu , John Cyril , Babu Kishore Selva
Published: April 2022

Kerala, a South Indian state, has tribal population in all her districts. About 1.5% of the total population of the state constitute tribal population. They depend upon natural environment and resources for their survival. Children from the same community usually depend on government funded schools for their education. Education for this deprived section during the COVID-19 pandemic was a massive exclusion and an uphill task. Digital divide and medium of communication (Standard Malayalam) were some of the critical concerns to knowledge acquisition among tribal children. This paper primarily focuses on the challenges of online education among tribal students with a clear emphasis on the English language acquisition. This study was conducted in four most tribal populated districts of the State, namely, Wayanad, Malappuram, Palakkad, and Idukki. This is a qualitative explorative study that explores the experiences of the tribal students’ English language learning challenges from the teachers’ perspective in these districts.
Review on Human Placental Proteomics
Authors: Shetty Ashmitha Kishan , Hegde Swaroop , Anbu Jayaraman , Rai Ashish Jagannath
Published: April 2022

The human placenta plays a crucial part during conception of another human life. Through this time the placenta forms and grows along with the fetus and removed after the birth of the child. The human placenta is rich in proteins and other nutrients required for the growth of the fetus is now discarded. The proteins present in the placenta is studied by extracting proteins from the spongy tissue or by growing the cells in culture media. Use of appropriate technique is also essential in case of diagnosis of pathological condition or to use these proteins as potent drug. This paper reviews the basic components of the placenta and proteomic techniques used in various studies for normal and pathological conditions in the human placenta.
Fabrication Of Cuprous Oxide Homojunction Solar Cell By Varying The Lactic Acid Ion Concentration Of Thin Film p-Cu2O Deposition Bath
Authors: Thejasiri Ayodya , Kafi F S B , Wijesundera RP , Siripala W
Published: April 2022

In this study, we have investigated the possibility of improving the VOC, FF and
Hindrances to Responsible Consumption: A Mini Review
Authors: G Sriram , M Manoharan
Published: April 2022

Sustainable development goals prescribe desirable behavior by individuals and firms. But behavioral irrationalities are likely to hinder responsible consumption by members of the society. Methods: This mini review is intended to identify behavioral irrationalities. A literature review was undertaken to identify empirical papers that studied the link between such irrationalities and consumption behavior. Results: Nineteen empirical papers that investigated irrationalities such as anchoring, loss aversion, sunk cost fallacy, framing, and endowment effect showed that these factors do affect consumption behavior. Conclusion: This study has identified irrationalities that affect consumer behavior and also the achievement of sustainable development goals. An extensive study is needed to identify the hindrances to responsible consumption.
Microbial Synthesis of Pt Nanoparticles – A Nano Review
Authors: David Alwin , Kumar Ram , Jeba Devadason Princess , Ashli J , Mathavan A
Published: April 2022

Green synthesis is an alternative way to reduce the formation of harmful chemical products by using eco-friendly procedures for the synthesis. Microbial synthesis is one of the green methods to avoid pollution. In microbial synthesis of nanoparticles, microbes are utilized for the conversion of metal ions to nano sized particles. Platinum nanoparticles (PtNPs) exhibit intrinsic antimicrobial, anticancer, and antioxidant activities. Thus they are extensively used for biomedical applications. Bacteria like Acinetobacter calcoaceticus, Calothrix cyanobacteria, fungi such as F. oxysporum and Neurospora crassa, and algae like Padina gymnospora and Plectonema boryanum were reported as reducing agent and stabilizing agent for the microbial synthesis of Pt NPs. Size of the bacteria based synthesized Pt NPs (2 to 3.5nm) were lower when comparing to fungi (2 to 100nm) and algae (25 to 300nm) based synthesized nanoparticles. Pt NPs with cuboidal, hexagon, triangle, quasi spherical, octahedral, and spherical shapes were reported. Variations in shape were due to different kind of microbe used and other conditions of synthesis. The microbial synthesized Pt NPs exhibited excellent antibacterial activity.