bluuebunny/crossref_metadata_2025 huggingface dataset:
Alternatives to Conventional Platinum-Based Catalysts in Polymer Electrolyte Membrane Fuel Cells
Authors: Khan Iqra Arabia Ali , Meda Ujwal Shreenag , Aman Amrit , R Suresh , Mudbidre Rajalakshmi
Published: April 2022

The demand for environmentally friendly power technology for a variety of aircraft applications has risen considerably in recent years as the aviation sector expands to meet the needs of a growing global population. The hydrogen fuel cell, which is a device that converts chemical energy directly to electrical energy, seems to be an alternative solution to conventional systems. The use of Proton Exchange Membrane (PEM) or the Polymer Electrolyte Membrane Fuel Cell (PEMFC) for onboard energy generation is gaining importance. PEMFCs have many advantages over other fuel cells and their room temperature/close to room temperature operation makes them suitable for aviation applications. However, there are a few hurdles, such as the use of platinum catalyst, which accounts for half of the fuel cell's cost, it is readily poisoned by CO, necessitating the installation of a mechanism that eliminates CO in the fuel gas and the use of electrolyte membranes, such as Nafion. As a result, the large-scale use of PEMFC is hampered. Tremendous efforts have been devoted to the development of low-cost platinum free catalysts to replace the existing Platinum Group Metals (PGM) catalyst. This review is on the recent advances in non-noble metal catalysts suitable for PEM fuel cells to reduce the overall cost of the fuel cell system leading to its successful commercialization. Feasibility of replacing platinum-based catalysts, challenges associated with replacing the conventional catalysts, the effectiveness, and performance evaluation of new catalysts in comparison with the current platinum-based catalysts in PEM fuel cells are discussed.
Idea, Architecture, and Applications of 5G Enabled IoMT Systems for Smart Health Care System
Authors: Tiwari Sadhana , Sharma Neha
Published: April 2022

The health sector is one of the important sectors of the Indian economy. The average expenditure on smart healthcare can be saved using the smart healthcare systems. Using Smart Healthcare System, death rate can be reduced and life span can be increased. Smart healthcare includes eHealth, mHealth services, smart home services, electronic database, and intelligent medical devices. Use of IoT based smart healthcare systems is increasing rapidly for disease diagnosis, patient’s treatment, and better quality of life. However, it produces a massive amount of data from different applications. It is the need of an hour to process and monitor real time data remotely with accuracy. As there are some limitations of IoT in healthcare like the massive amount of data generated, data security/privacy concerns, and more. This issue can be resolved by 5G technology. It has the capability to tackle the large amount of data with minimum delay and fulfills the requirement, such as high bandwidth, ultra-low latency, and ultra-high energy efficiency. Both 5G and IoT have great utility in the health sector. This research paper presents components, architecture, and applications of 5G enabled Internet of Medical Things (IoMT). This paper also covers how the 5G enabled IoMT supports the smart healthcare system and comparison of available wireless communication technologies for 5G enabled IoT. Requirements and technologies involved in 5G enabled IoMT Systems are presented along with their impact.
COVID-19 Pandemic: A Seismically Disruptive Environmental Event
Authors: Dang Rajeev , Goyal Deepam , Goyal Tarun , Mago Neeru
Published: April 2022

After World War II, the COVID-19 pandemic has caused so much losses to humankind that some countries have started calling it a third world war or biological war, which has been imposed for reorganization and dominance over the world economy. The whole world has come to stand still and efforts of all the countries are concentrated to avoid extinction of human species. Most of the companies have come out with zero production in the month of April 2020. This paper explores the impact of this seismically disruptive environmental event on the global environment and energy scenario. It provides a valuable guide to researchers, environmentalists, and policy makers to provide a linkage between COVID-19, and various environmental concerns and remedial measures have also been suggested to combat SARS-CoV-2. Although the future trajectory of the pandemic remains uncertain, the pandemic has already brought many changes to how people live, and is likely to bring many more. As all the disasters have their time limits, one should be optimistic and must put all our feet together to win over this pandemic and respect the ecosystem before it is too late.
Recent Advances in Hydrogen Evolution Reaction Using First-Row Transition Metal Complexes as Catalyst
Authors: M Swathika , Natarajan Arunadevi
Published: April 2022

The precise use of an electrocatalyst for the HER reaction mainly depends on synthesis cost, durability, and over potential. Recently there is promising research for electrocatalyst synthesis using first-row transition metals. Working towards this herein we present synthesis, physio-chemical characterization, and hydrogen evolution activity of amino guanidium metal naphthoate complexes. The obtained electrocatalysts were characterized by element analysis, IR spectra, UV-Visible spectroscopy, TG-DTA, and powder-XRD. The thermal behavior of these compounds has been studied by simultaneous TG-DTA techniques. The isomorphic nature of the metal complexes is evident from powder-XRD data.
A Review on Prediction of Diabetes Using Various Machine Learning Algorithms
Authors: Patidar Pawan Kumar , Jain Rekha
Published: April 2022

In a world of fast paces and a general adoption of poor health care habits, with the same speed that the 21st century demands of us, it is common to feel that the fields of illnesses and their spread have grown dramatically. It is a group of business intelligence (BI) appliances that employ advanced machine learning approaches to find connections and patterns in huge quantities of facts. These facts-driven relationships and patterns help us anticipate behavior and occurrences. By utilizing previous occurrences, predictive analytics gives you a glimpse into the future. Although the predictive model is not based on the creation of a mathematical model or approaches for the development of the prognosis, it is essential to point out that it was constructed using past predictive methods, but on the use of approaches available in the identified appliance. Through the use of the model, it is proposed that the entities that provide public and private health services implement it in a commercial context, using the predictive abilities of the model for the benefit of the client's diagnosis and the optimization of consultation processes. This work proposed a review of 10 papers on diabetes prognosis using various machine learning approaches namely Logistic Regression, Random Forest, KNN, Naïve Bayes, ANN, Gradient Boosting, CNN, Support Vector Machine, and Ada Boost Approach.
Respectful Maternal Care − Need for Educational Interventions Among Maternal Health Care Providers
Authors: Vivekanandan Kala , Sharma Ujjawal , Sharma Bunty , Subbiah Nanthini , Raina Deepika
Published: April 2022

Respectful maternal care (RMC) during childbirth is recognized as a global health priority. The World Health Organization (WHO) has honoured RMC as a global issue and highlighted the need for immediate attention to the provision of RMC as a rudimental right of women. Around the world, several studies have shown that mistreatment is far more common during delivery. Maintaining respect and dignity for pregnant women emotionally and physically is a vital part of their appeal. Despite multiple changes in our health care system in recent decades, there is still major room for a breakthrough in the delivery of quality care. Maternal health care providers (MHCPs) attitude and comportment have a direct impact on patient and client well-being. To ensure quality care, the evidence is strong that midwives must be educated and trained to work as independent workers to provide knowledge competent, different and commiserative information to all. Multiple ways to strengthen the health worker’s performance have been tried in multi-hued ways. Globally there are no studies that share effective interventions to reduce disrespect and abuse in maternal care. It is difficult to achieve sustainable development goals without promoting RMC and very few studies are conducted to evaluate educational interventions in the RMC among nurses in developed or developing countries.
Human Happiness at Hard Times – COVID-19 Pandemic
Authors: Pushparaj Robert Ramesh Babu , Panneer Sigamani , Dellagiulia Antonio , Kantamaneni Komali , Rose Josiah Stanely , D Shanmugam
Published: April 2022

COVID-19 has brought in a lot of physical health problems and mental health issues to people of all walks of life. The main aim of this study is to present that at the hardest of times (like COVID-19) it is possible to find happiness. The study follows the method of scientific review. The researcher selected articles based on the keywords from Scopus, Google Scholar, WHO documents, PubMed, Springer and Elsevier journals, and government websites. Based on the protocol of inclusion and exclusion criteria, the researcher selected, excluded, analyzed, critically evaluated, and synthesized the data from the research articles and documents. Finally, 70 research articles were included in the study. The findings identified factors like fear, anxiety, worry, depression, panic, social withdrawal, etc. that affected human happiness during COVID-19. The study predominantly focuses on presenting various practical ways to help people to be happy even during the hard times of COVID-19.
Influence of Behavioral Factors on Early Exercise of Employee Stock Option: A Literature Review
Authors: Arora Manpreet Kaur , Arora Manpreet
Published: April 2022

Employee Stock Option Plans (ESOPs) have gained prominence as a successful HR strategy that improves the employees’ performance and enables the company to have an economic and strategic advantage. However, the time at which employees decide to exercise their options determines the incentive that they derive from the stock options granted to them. It is one of the crucial financial decisions which can have immense implications for both employers and employees. According to the Black Scholes Model, an option's value is maximum when it is held until maturity. But most employees exercise their options early, which comes with a cost to both the employee and the company. It can be attributed to the fact that when faced with financial decisions the individuals do not always refer to complex finance models and formulas and make decisions rationally. Instead they resort to mental accounting and shortcuts leading to bounded rationality that can unconsciously impact their decision-making process. This paper explores the literature available on behavioral factors and biases that in addition to rational factors can affect the exercise of employee stock options.
Advances in Additive Manufacturing Techniques for Bioprinting
Authors: Singh Gurmohan , Mehta Sahil , Saini Abhineet , Pabla B S
Published: April 2022

The advancements in the field of additive manufacturing have led to the significant developments in the field of biomedical sciences. This combinational progression has led to implementation of 3D printed biological components, such as cartilage, bone parts, skin layers, and other implants. Moreover, the inception of this technology in tissue engineering through integration of living cells for specific functions is another achievement bringing about a revolution in biomedical sciences. This research article aims at providing an in-depth review of the development in the additive manufacturing technologies that have been utilized for bioprinting of various tissue types, including dermal layers, bone implants, cardio-vascular parts, etc. The authors will also discuss the challenges and limitations in the technology considering the biocompatibility, mechanical properties, and incorporation of functional materials to make these artificially 3D printed components mimic properties to human biology.
A Short Review: Synthesis Methods and Application of Biomolecule Derived Graphene Quantum-Dots
Authors: Kaushal Gaytri , Kaur Baljinder , Kumar Pankaj , Dhiman Meenakshi , Khanra Partha
Published: April 2022

Among the carbon allotrope, graphene quantum-dots (GQDs) have been attracted tremendous attention due to unique physicochemical properties, such as high surface area, sustainable photoluminecent properties, excellent electrochemical properties, good biocompatibility, unique drag delivery capacity, etc. The major source of GQDs are carbonaceous materials and hydrocarbon based bio-resources. Interestingly, this short review focuses on synthesis methods of GQDs from biomolecules. Basically, biomolecules consisted with multiple bonded carbon with oxygen, hydrogen, and oxyhydrogen moieties. By chemical reactions it will converted into GQDs by removal of oxyhydrogen moieties by different routes of preparation and applicable for many advance applications, mainly in optoelectronics applications and biomedical applications. Moreover, the GQDs are capable for many other applications, such as energy storage and chemical sensing. However, we have focus on the bio-derived GQDs by different methods and reported applications.
Comparing Social Sustainability: Traditional Practices in Wooden Houses with Contemporary Practices in Masonry Houses in Munshiganj
Authors: Bansal Kanika , Rezwan Sheikh
Published: April 2022

Contemporary lifestyle, needs, and advancements have resulted in replacing the unique indigenous practices of the traditional wetland communities with modern methods and materials. Higher consideration of environmental concerns in the 21st century has shadowed pressing societal concerns in the sustainability assessment paradigm. The social aspects impact the lifestyle, adaptability, as well as behavior of the inhabitants, especially in developing countries. The objective of the present study is to evaluate and compare social sustainability in the traditional wooden houses of Munshiganj, Bangladesh, with contemporary masonry houses through social sustainability indicators. Empirical data is collected through a series of on-site workshops. The study also follows an innovative approach of collecting users’ feedback through a questionnaire survey. The findings of the study indicate that within a proposed set of indicators, the traditional practices adopted in a wooden house have higher social sustainability than the contemporary practices made of brick and cement.
Dielectric Properties of Soils of India at Radio and Microwave Frequencies: A Review
Authors: Palta Prachi , Pankaj Prem , Kaur Prabhdeep , Mann Kuldip Singh
Published: April 2022

Dielectric properties of soils are important in the field of geophysical exploration, agriculture, and remote sensing, as these directly affect the performance of electromagnetic sensors. Soils vary from region to region due to variation in texture, temperature, demography, and environment, so area wise dielectric properties of soil differ significantly and depend upon frequency, moisture content, bulk density, and salinity. India has a wide variety of soils and numerous researchers have studied dielectric properties of many states of India. However, due to difference in technique used, frequency of interest, and soil type, it is difficult to generalize dielectric behavior of soils of India as a whole. In this review, we present a systematic state wise analysis of all reported dielectric data on soils of India at radio and microwave frequencies.
Sustainable Human Resource Management: A Conceptual Framework
Authors: Saini Shweta
Published: April 2022

Organizations now a days strive for sustainability to follow regulations, fulfill customer requirements for sustainable products and to remain competitive in the market. Sustainability is an approach creating long term value for the organization by focusing on social, economic and environmental aspects. The concept of sustainability is incorporated in various sectors such as manufacturing, consumer goods, and food etc., however limited studies are conducted by focusing human resources. Using a systematic literature review technique, this study discusses the research work on sustainable human resource management (SHRM). Based on the findings, a conceptual framework is proposed for effective implementation of sustainable human resource management practices. The framework highlights 19 factors that constitute the three pillars of SHRM i.e. economy, society and environment. The findings will be beneficial for academicians and practitioners interested in exploring SHRM implementation issues and challenges at the workplace.
Performance of Savonius Rotors: A Review
Authors: Singh Amandeep , Sharma Sonu
Published: April 2022

With the downsizing of the energy sector in India and developing countries, the core demand of electricity power supply is adding another source of constraint to the industrial, infrastructural, and development sectors in India. With the growth of the economy that brings along hazardous degrading our ecosystem viz. depleting ozone layer due to utilization of fossil fuel to produce the never ending energy demand, arrives at an alternate provision to produce the energy to fulfill the demand. The renewable energy sources like wind, tidal, geothermal, and biogas are such sources that can meet the required consumption of power. This article outlines the use of wind turbines as an effective source of energy and describes its features, models, and design modifications by which the power coefficient of the Savonius rotors, a vertical axis wind turbine, can be improved through design parameters and optimal configuration of the rotor.
Role of AI in the Field of Agriculture: A Review
Authors: Bali Nishu , Singla Anshu
Published: April 2022

Agriculture and its allied activities play an important role in the economy of a nation. The ever growing population of the world and the unexpected changes occurring in environment makes it necessary to replace the age old agricultural practices with climate sustainable agriculture practices. The emergence of Artificial Intelligence (AI) and its allied fields have opened new avenues in the field of agriculture. Recent hybridization of IoT (Internet of Things) with AI fields has enabled the merging of intelligence in network of devices connected through internet facilitating availability and efficient analysis of huge amounts of real-time agriculture data. The present study is done with following objectives: (i) to study the role of AI and its related fields in agriculture, and (ii) to explore the future of various hybridized techniques being used in different areas of agriculture.
A Survey on Segmentation Techniques for Breast Cancer Detection
Authors: Utreja Bhawna , Sharma Reecha , Wason Amit
Published: April 2022

Breast cancer is second most rank disease after lung cancer between ladies around the world. Early detection declines the cancer death rate among women. Computer aided detection (CAD) system have been emerged which help the radiologists by specifying tumor region and reducing error mistake. Segmentation plays an important role in finding tumor area, i.e. Region of Interest (ROI). This paper investigates various segmentation techniques for breast cancer detection. Also, two segmentation techniques, Fuzzy C-Mean (FCM) and K-means, have been applied on mammogram images taken from MIAS database. Results shows that K-means is capable of estimating tumor region boundary as compared to FCM.
Proposed Section Methods to Find Root of the Single Variable Non-Linear Algebraic and Transcendental Equations
Authors: Dhokrat Vibhavari Tukaram , Patil Dinkar PITAMBAR , Pawar Subhash Genda
Published: April 2022

The main purpose of numerical analysis is to develop a numerical algorithm to find approximate values. The main aim of this paper is to present Proposed Section Method-I and Proposed Section Method-II (Proposed Section Methods). These method makes some slight difference in well-known bisection method to solve single variable nonlinear equation. In well-known Bisection Method, the interval in which the root of the equation lies is bisected using Arithmetic Mean (AM). These Proposed Section Method splits the interval using Geometric Mean (GM) and Harmonic Mean (HM). These method gives the roots of the equation which are closed to the root given by well-known Bisection Method. In order to analyze the results some examples related with algebraic and transcendental functions are considered. It was concluded that if the root of the single variable non-linear equation exists by all these methods then the solutions are very close to each other.
A Prefatory Analysis of Brain Computer Interfacing Based on EEG
Authors: Pathre Ayonija
Published: April 2022

An extremely developing area of application systems science is defined by brain programming interface technology. In health fields, its contributions range from treatment to synaptic healing for severe injuries. The special fingerprint of mind reading and remote contact in several areas, such as education, self-regulation, manufacturing, marketing, protection, entertainment, and games. It induces shared trust between consumers and systems around them. Deep learning has already received mainstream recognition and has been used in numerous applications, like natural language processing (NLP), computer vision, and voice. For MI EEG signal classification, however, deep learning has seldom been used. This paper highlights the fields of application that could advantage from brain waves in promoting or attaining their objectives. We also answer big usableness and technological problems facing the use of brain signals in different BCI device components. Various solutions aimed at minimizing and reducing their effects have also been studied. The popular spatial pattern (CSP) approach, which is generally utilized, is applied to extract variance-based CSP functions, that are then fed for classification to DNN. DNN practice has been thoroughly studied for classification of MI-BCI and best framework found has been explored.
Changing Leadership Styles and Strategies of IAS Lobby WRT Losing Its Swagger in Corridors of Power in India
Authors: Bhanage Jyoti , Bhanage Prasad
Published: April 2022

The Indian Administrative Service is the administrative hand of all Indian services in Indian government. IAS is one of the important branches from all India services and works a lot for development of the economy. Leadership is the process of influencing others and an effective leader influences his followers in a preferred way to achieve desired objectives. Different leadership practices affect organizational efficiency, efficacy, and performance. The powerful Indian Administrative Service (IAS) lobby is losing its influence over the authority corridor in the national capital and has fallen to almost 33 percent from previous virtual control. The growth and expansion come as the government increased the appointment of the officials from services to fill important positions in different ministries. IAS officers have been found deficient in their roles and there is a sharp scarcity IAS officers in 18-25 years of superiority. The study helps in understanding the role of leadership practices in enhancing the performance of the administrative officers. Primary data collected through the questionnaire distributed manually and via mail to the IAS officers. There were 286 IAS officers both zones directly recruited or promoted in Maharashtra region and 50% of the total population, i.e. 143 IAS officers, were taken as sample for the study. Mean, weighted average, pie charts, and graphs were made and to support the study. One null hypothesis is also framed. Organizations can be successful when the followers and the leaders have healthy relationships. Leadership styles and approaches provides direction, implement plans, and motivate people.
Comparative Analysis of Green Building Rating Systems for Residential House: A Case Study
Authors: Bochare Rewa , Bagora Poonam
Published: April 2022

Rating a building for its ecological sustainability and energy efficient is the new black in the construction industry. In this study, we assessed a small house for green building optimization and energy efficient rating with the help of two softwares, namely EDGE (Excellence in Design for Greater Efficiencies) for green building rating and IGBC Green New Building Rating SystemVersion 3.0. The former is cost effective software, furnishing detailed results about optimal design aspects for the green buildings like energy efficiency, water efficiency, and material efficiency. The latter, however, is a certified rating system assessing the drawings on similar criteria as EDGE but delivering overall points for the building (out of 100), thereby providing the performance level in terms of certified levels namely Certified, Silver, Gold, Platinum, and Super Platinum. After performing analysis for the case plan, using EDGE software, the energy efficiency measured 57.93%, water efficiency was 66.24%, and material efficiency was 81%. Upon using the IGBC green house rating system software, 65 points were matched out of 100 for our case plan. Thus, the certification level was Silver and recognition achieved was Best Practices.
Improving Woody Biomass Pellets in Residential Application
Authors: Singh Jaswinder , Kumar Rajesh , Kaur Gagandeep , Chauhan Madhur
Published: April 2022

The excessive utilization of fossil fuels to satisfy growing power demand has generated ecological instability, prompting the search for renewable energy sources. In this case, excess biomass from diverse crops has been considered. Despite this, there are significant challenges with this type of electricity generation, which are mostly related to its small size and high transit costs. As a result, this study describes an optimization approach for strategic planning of the use of waste biomass pellets as fuel source for generating power. The suggested strategy takes into account all operations in the distribution chain, from residue harvesting through pellet burning in power plants. The placement and structure of the pelleting facilities in a geographical region, as well as the choosing of biomass and distribution methods, are all needed to take account in order to meet the demands of the power plants at the lowest possible cost and ecological effects.
A Machine Learning Based Framework for Preprocessing and Classification of Medical Images
Authors: Beram Shehab Mohamed , Pallathadka Harikumar , Patra Indrajit , Prabhu P
Published: April 2022

Disease diagnosis and therapy rely heavily on medical imaging. For example, image processing has been used to depict different cell types using textural aspects in the medical and biological fields, as well as to distinguish between living and dead cells using pictures. There are major difficulties in reproducibility and predictability since traditional techniques of microscopic image analysis rely on a labor-intensive approach with a restricted number of bone samples. To construct a novel technique, image processing in a digital system was used to include several steps, including preprocessing, object representation, feature extraction, classifying, and picture interpretation. It was found that the Wavelet denoising tool was a potent picture enhancing technique. Second-stage preprocessing of pictures is validated by the wavelet, which divides the image into subbands like near, horizontal, and vertical estimations. To cure at the beginning stage, any bone fracture or abnormality (cancer) must be anticipated. Human osteosarcoma, a malignant primitive bone tumor, is the most common form of bone cancer in the human body. Metastasis is a term for the spread of stage condition to other sections of the body or to organs. Our proposed work was associated with preprocessing to eliminate noise and get smooth images. This procedure would aid in improving image quality and removing false segments. KNN, CNN, and ANN classification algorithms are used to classify image datasets.
Performance Studies of Biomass Derived RHAC and MgO Nanocomposite Electrode Materials for Supercapacitor Applications
Authors: M Ajay , N Dinesh M , Misha Gaurav , R Siddanna , N Shivayogi B , M Rajendra V
Published: April 2022

The electrode materials for supercapacitors based on biomass-produced Rice Husk Activated Carbon (RHAC) and RHAC+50% MgO nanocomposite are compared in this article. The crystallinity, structural morphology, and crystalline size of the particles were determined using microstructural and electrochemical characterization. Scanning Electron Microscope and X-Ray Diffraction techniques were used to determine the surface morphology and crystallinity of the materials. The XRD results reveal that RHAC which has broad peaks indicates amorphous nature whereas RHAC+50% MgO nanocomposite which has sharp peaks exhibits crystalline nature. The RHAC+50% MgO nanocomposite electrode exhibits a specific capacitance of 220.52 F/g however RHAC electrode exhibited only 162.91 F/g at a scan rate of 2mV/s by Cyclic Voltammetry in 1 M KOH electrolyte. After 2500 cycles of Galvanic charge-discharge, it was discovered that RHAC+50% MgO nanocomposite has capacitance retention of 76.71% and RHAC has capacitance retention of 80.49%.
Somerset Maugham’s Short Stories Are Exemplary Sarcasms of Religious Pretension.
Authors: Edison K. Thomas Alwa , Evangeline H. Marie , Vadivel S. , Duvaraganathan P.
Published: April 2022

The interesting observation about William Somerset Maugham is that he has reliable literature. It had been the sole movement during which he had completed and fixed belief. He made an entire heart surrender to literature from boyhood to maturity. He spared all his time reading and writing. His face to face contact with suffering humanity made him see ‘human nature’ as it really was. He had a large-hearted clarity in the treatment of the laboring class. The impact of his medical studies upon his progress as a writer can scarcely be overrated. Believing writing as serious as life, he approached it with a determined purpose. He decided to measure if he possibly could, and for literature. This paper traces that human life is very common, there is no vast difference between common people as well as some religious people. His works reflect particularly the lifestyle of common people and missionaries. Maugham’s short stories and novels dealt with very ordinary themes and his language is very simple and lucid. In this paper some of the prominent short stories of Somerset Maugham are taken for the study since his short stories are filled with exemplary sarcasms of religious pretensions. There is a famous saying in Buddhism: “Desire is the root cause of all evils”. But most of the religious persons, Government servants, politicians and aristocrats’ lives are suitable for this saying, readers can find this in his work of art clearly. Also this paper is an instance of religious pretensions.
Re-Conceptualizing Work Life Balance: Response to SARS COVID-19
Authors: Kaushik Aditi , Nair Manju
Published: April 2022

To understand and analyze the impact of COVID-19 on female academicians working in private universities of Rajasthan State and to explore the changes, transformations, and trends which have developed in the education industry as a result of remote working. Design/methodology/approach: Using a mixed approach of quantitative and qualitative methodology, this study drew a sample of 127 female academicians working in private universities of Rajasthan. A structured questionnaire was employed to gather required data for further analysis using Statistical Package for the Social Sciences. Findings indicated there is significant difference in the personal and professional life of teachers when they are working from home. Originality/value: The study also brings forward various changes, transformations, and trends which have developed in the education industry as a result of remote working.
Healthcare Monitoring Through Fog Computing: A Survey
Authors: Kaur Navjeet , Mittal Ayush , Kumar Ashok , Kumar Rajesh
Published: April 2022

Healthcare is one of the prominent areas which requires a lot of improvements in terms of fast delivery of services to clients like patients, doctors, and hospitals. As the technology is growing rapidly, a number of healthcare devices and equipment are also increasing. These healthcare devices produce large volume of patient data on daily basis. The processing of the patients data is required in real time for critical cases where a quick decision can increase the lifespan of the patient. But conventional model of healthcare architecture using Cloud computing is unable to process huge health data in real time. There are a number of solutions provided by researchers to improve performance of Cloud healthcare computing, such as Edge, Fog, Mist, and Dew computing. In this survey paper, the term Fog computing, its advantages, and standard architecture are explained in detail. Various other computing terms of Internet of Things (IoT) are discussed and compared with Fog computing. The survey also presents conventional Cloud healthcare architecture, its issues, and various proposed healthcare architectures in Fog computing, and discusses new technologies that can improve healthcare system. The results shows that most of the works focus on security of hospital database and reducing the delay of providing services that are very minimal on energy consumption and mobility of patients.
The Negative Impact of Food Neophobia on the People Ofchandigarh Tri-City, India
Authors: Kalra Sushil , Bhogal Sachin , Kumar Kuldeep , Kumar Naveen , Kaushal Rajesh Kumar
Published: April 2022

Food Neophobia (FN) is related to individual’s fear to go for new variety of food. There may be multiple reasons for people to act as Food Neophobic and not trying something new such as ,taste, low level of knowledge etc.but it is found that Food Neophobia is directly related to low quality of diet.Social or demographical factors also plays a vital role in people liking or disliking towards food. Sometimes a bad experience also restrict people to try out new dishes. Because of all this factors generally individual restrict themselves to a particular type of food which leads to in some cases malnutrition.The aim of the study was to access the relationship between Food Neophobia with education and demographic factors in adults living in rural versus urban areas. The research carried out in Chandigarh Tri City,Punjab India.Data was collected from 441 respondents, out of which 246 respondents are females and 195 respondents were males from urban and rural classes. We found that Food Neophobia strongly influence the eating habits and directly responsible for lesser nutrition in individuals specially having high degree of Food Neophobia.
Folding Mechanism for Wheelchair
Authors: Sonwane Yashodhan Jayprakash , Elumalai Vijayaragavan
Published: April 2022

Lots of people across the globe are suffering from disabilities either temporary or permanent, and many of them are having difficulty in walking. That is why the role of the wheelchair is important for all having physical disabilities where they cannot walk by self. To address this issue wheelchairs are available in market with following benefits (i) easy transportation, (ii) compact storage space. This study is to propose a design of detachable folding mechanism that can mount on the frame of standard size wheelchair and can be dismounted to replace if any break down or maintenance. The mechanism can be mounted on standard wheelchairs and safe up to 150 kg weight of the subject.
Thermal and Electro-Optical Properties of Size Dependent Nickel Nanoparticle Doped Blue Phase Liquid Crystals
Authors: Yadav Sumit , Malik Praveen , . Khushboo , Kaur Gagandeep , Singh Ashwani Kumar , Chauhan Garima , Kumar Pankaj
Published: April 2022

In present work, effect of nickel nanoparticles size on blue phase stabilization and its electric-optical properties has been demonstrated in In plane switching (IPS) configuration of liquid crystal cells. Variation in phase transitions and their textural behavior after doping of nickel nanoparticles of sizes 20nm and 40nm in pure blue phase liquid crystal was observed under polarizing optical microscope in IPS cells and compared the results with already reported data in indium tin oxide coated glass plate cells. Blue phase range has been widened after doping of both size of nickel nanoparticles and maximum BP range found is 6.5oC and 6.3oC in 20nm and 40nm-BPLC composites respectively in IPS cells. Voltage-transmission data has been taken for pure blue phase liquid crystal and nickel nanoparticles doped blue phase liquid crystal systems at a particular frequency and further various electro-optical parameters have been measured.
Development of Biochar-Based Functional Materials for Electrochemical Supercapacitor Applications
Authors: Devi Raman , Kumar Vinay , Kumar Sunil , Jatrana Anushree , Agrawal Anant , Singh Paul
Published: April 2022

Burning agricultural waste has become a serious environmental concern, creating health problems and contributing to global warming. The Indian government has sought to address this issue through a variety of policies and initiatives aimed at promoting sustainable management practices, such as transforming agro-waste into electricity. Biochar is a carbon-rich substance made from biomass that has been pyrolysied in low-oxygen environment. This article addresses the opportunities and advantages of using new technologies to convert agro-waste into biochar based functional materials with their applications in electrochemical supercapacitor. We have established an electrode on graphite sheet using biochar as an active material and investigated its electrochemical behavior using cyclic voltammetry and galvanostatic charge-discharge. This strategy will help to overcome the challenges of safe trash recycling as well as the usage of fossil fuels.
Comparative Study of Organic Coagulants in Water Treatment
Authors: Latha A , Ganesan R , B Krisnakumari , S Theerkadarsin
Published: April 2022

A comparative study of various organic coagulants for the treatment of surface water is presented in this paper. Organic coagulants like Banana pith (Musa), seeds of Tulsi (Ocimum sanctum), Acorn (Quercus), Drumstick (Moringa oleifera), Clearing nut (Strychnos Potatorum) are studied. The water samples are collected from two places like Cooum River in Thiruvallur and Puzhal Lake in Chennai. This study also involves removing undesirable physical, chemical and biological contaminants from the water. The physical and chemical characteristics of the river water were studied initially. The seeds of Tulsi, Acorn, Drumstick, Clearing nut and pith of banana were powdered to get the seed extracts. Experiments were performed with the seed extracts to evaluate the effects on turbidity, pH, Total dissolved solids, chloride and sulphate concentration and hardness of the river water. All the water samples were analysed and tested in laboratory. The initial turbidity of Cooum river is 38.4NTU and that of Puzhal lake is 84.8NTU. The turbidities of the water samples were reduced to 6.1NTU and 10.9NTU. The organic coagulants were the most efficient expressing the highest coagulation activities, around 75%.
Effect of Yogic Activities on Selected Physiological and Psychological Parameters Among STEM Undergraduates
Authors: Karwande P A , Chechi V K
Published: April 2022

STEM graduates are must for economic needs. The present study aims to evaluate the potential effects of various yogic activities yogasanas, pranayama, and meditation on STEM undergraduates by testing stress level and self-regulated learning through a 12-week yogic activities intervention program. A pre-test and post-test randomized group design will be adapted to get the desired outcome of the study. The intervention will consist of different yogasanas, pranayama, meditations techniques and a combination of asanas, pranayama, and meditation against a control. The results of the study will help demonstrate how yogic activities enhance self-regulated learning, heart rate variability, and reduce stress, blood pressure, and heart rate among the STEM undergraduates, which would help them in academic achievement and life-long learning.
Preliminary Phytochemical Screening and Determination of Total Phenols and Flavonoids in Aerial Parts of Viola Tricolor
Authors: Godara Abhishek
Published: April 2022

Viola tricolor L (family: Violaceae) commonly known as wild pansy, heartsease exhibited various pharmacological effects such as cytotoxic activity, antimicrobial, anti-inflammatory, antioxidant, sedative, immunosuppressive, anti-anxiety, and anticonvulsant activity. Polysaccharides, flavonoids, phenylcarbonic acids, salicylic acid derivatives, catechins, and coumarins are all known to be present in Viola tricolor. The aim of the present study was to perform the preliminary phytochemical screening and to estimate total phenols and total flavonoids in Viola tricolor aerial parts. The aerial components of V. tricolor were extracted successively in order of increasing polarity using solvents such as petroleum ether, chloroform, methanol, and water. Phytochemical studies of V. tricolor confirmed the presence of phenols and flavonoids in chloroform, methanolic, and aqueous extract. A spectrophotometric technique based on Folin-Ciocalteau reagents and an aluminium chloride colorimetric test was used to determine the amount of total phenols and flavonoids in chloroform, methanolic, and aqueous extracts. Total phenols were measured using gallic acid as standard, while total flavonoids were measured using quercetin as standard. Total phenolic content (%w/w) were found to be 8.00±0.503, 14.84±0.298, and 2.93±0.232 in chloroform, methanolic, and aqueous extract of V. tricolor respectively. Total flavonoid content (%w/w) were found to be 3.09±0.113, 6.24±0.279, and 2.00±0.166 in chloroform, methanolic, and aqueous extract of V. tricolor respectively.
Tomato Plant Leaf Malady Detection Using Machine Intelligence
Authors: Thanvi Anirudhi , Jangir Sunil Kumar , Sharma Raghav , Kumar Manish , Goyal Dinesh , Monika
Published: April 2022

Tomato crops are progressively mainstream, as a result of their high nutrition power which is available such as beta-carotene and Vitamin C, E. Lack of care for such crops results in causing serious ailments on plants and it is very important for identifying disease in plants for an efficient crop yield. Maladies on the plant causes depletion in both the quantity and quality of the crop. This paper possesses a real-time, precise, and efficient approach based on machine learning to recognize maladies existing in a tomato plant by revealing from its leaves. The model for disease detection was trained on plant leaves which were taken from PlantVillage Dataset and a convolution neural network-based algorithm was used for the identification of maladies in tomato plant leaf. The outcome shows that the presented approach is effective in detecting disease of tomato plant leaves as well as it could be globalized.
Antisolar Panel: Energy Without Limits
Authors: Azua Galvan Pedro Uriel , Gali Hernández Pedro Antonio , Ochoa Parra Luis Fernando , Rocha Medina Jorge Alejandro
Published: April 2022

This research report contains the development of a prototype within the area of Renewable Energies (RE), which corresponds to an applied research project. It considers the innovation of a traditional solar panel that, by means of its construction, seeks to eradicate the minimization of the use of fossil fuels, promoting RE and obtaining greater energy diversification. The literary foundation presents as the main element for energy conversion the absence of light.
Boss Brigade Bot 85-17
Authors: Velázquez Rodríguez Christian Kalef , Saldaña Gamez Jose Alberto , Martínez Soto Diego
Published: April 2022

A technological innovation project is presented based on the design and manufacture of a robot prototype that supports studies oriented to the understanding and application of scientific methodology in rescue areas, as a support for the safety of brigades, which promotes it as relevant research. The use of nanotechnological resources leads it as a study of original technological innovation. The objective of this project is to innovate a search and rescue robot prototype so that in case of disasters the lives of the rescue brigades are not put at risk and in this way contribute to society. In order to contribute to the effort made by the nations in the face of the environmental impact, PEEK plastic, which is resistant to high temperatures, shocks, and is also considered a biomaterial, is contemplated as a material for the robot's structure.
Adaptation of Android and Digital Applications in Education System
Authors: Mamodiya Udit , Singh Yuvraj , Jain Atishey
Published: April 2022

Main purpose of this review paper is to emerge early writing tools with new digital writing tools as computers, tablets, and laptops introduce to android application, which recognizes information through QR code in form of audio, video, text, etc., since last few years’ smart phones and wireless internet connection has no ambiguity. Mobile technology plays an important role in combination between advanced mobile technology and computer technology application. Location based interactions or Wi-Fi identification this shows the necessity of digital applications. This paper examines the practical outcomes from study and learning that has been taken place. In education society learning is general with continuing digital revolution in education and business relationships.
Evaluation of CO2 Transport Design Via Pipeline in the CCS System with Various Distance Combinations
Authors: Handogo Renanto , Mualim Annasit , Purwo Sutikno Juwari , Altway Ali
Published: April 2022

Carbon dioxide transportation plays an important role in the CCS system. The pipeline is the most economically viable for CO2 transport medium. In this paper, the design of the CO2 pipeline is systematically evaluated from a technical and economic aspect. Four transport process conditions include gaseous transport, liquid transport, dense phase transport, and supercritical transport will be assessed to obtain the most feasible transport design. A supercritical phase has an advantage when to be applied for long-distance and large-scale CO2 transportation. In the CCS network, the distance between source and sink points may vary. The variation in the distance and transport capacity make a supercritical phase not an effective pipeline transport condition. The proposed methods to determine the optimal design of onshore pipelines with a projected CO2 flow rate are presented in this paper. The methods are based on the simple correlations developed from a wide range of generic cases of CO2 transport. The optimum design is identified from the minimum total annual cost. The result shows that the pipeline design in the CCS network can be performed in the liquid phase when the distance is lower than 100 km.
A Review of the Global Current Scenario, Trends, and Challenges of Hybrid District Heating System
Authors: Pathania Yuvraj Singh , Kumar Rajesh
Published: April 2022

India's energy consumption is considerable, yet its energy supplies are limited because of the climatic conditions in the northern Himalayas. During the winter, the northern region faces an absence of sources. A feasibility study on the DHS has to be conducted to help remedy the situation to overcome this situation. The major goal of this article is to derive heat from solar and biomass energy sources. Biomass in the forest reduces CO2 emissions by using solar energy in our atmosphere. This hybrid district heating system makes effective use of this energy. It is possible to deal with the problem of freezing temperatures in the northern area with hybrid district heating systems. As a result of this technology, a comfortable interior atmosphere may be created. The study examines the future directions of the Hybrid DHS in northern India. The approach is a theoretical model to determine whether or not there are viable sources for hybrid district heating systems.