bluuebunny/crossref_metadata_2025 huggingface dataset:
Transfer Learning: A Paradigm for Machine Assisted Knowledge Transfer
Authors: Gurjar Aparna , Voditel Preeti
Published: April 2022

This paper surveys transfer learning as a sustainable knowledge transfer mechanism. Conventional machine learning algorithms require a huge amount of labeled data for supervised learning. In absence of such data, the models suffer from performance degradation. Transfer learning enables the prior knowledge gained in doing a particular task to be reused or transferred to another new task of similar nature. This can speed up and improve the learning curve of the tasks in the new domain. The paper gives an overview of the transfer learning process and highlights how this innovative artificial intelligence (AI) technique can help achieve the goals of sustainable development. The literature survey highlights widely used mechanisms of Transfer Learning like homogeneous, heterogeneous, as well as instance-based, parameter-based, and relational-based implementation of transfer learning. It discusses how these mechanisms are utilized to create efficient AI-based applications which aid sustainability in the long run.
Analysis of Supervised Machine Learning Algorithms in the Context of Fraud Detection
Authors: Verma Pradeep , Tyagi Poornima
Published: April 2022

In today’s era, where ‘time’ is considered as ‘money,’ people are completely depending on e-commerce and online banking for their routine purchases, shopping, and financial transactions. This increasing dependency on e-commerce are increasing fraud in online transactions, and credit card fraud is one example. Such malicious and unethical practices may cause identity theft and monitory loss to the people across the world. In this research paper, our effort is to identify the best Supervised Machine Learning algorithm that helps in classifying fraudulent and non-fraudulent transactions under credit card fraud on an imbalanced dataset. To conduct this research and compare the results, we have used five different Supervised Machine Learning Classification techniques. On implementing these machine learning techniques, it has been observed that both Supervised Vector Classifier and Logistic Regression Classifier perform better for detecting credit card fraud in an imbalanced dataset.
Analysis of Different Trends in Chatbot Designing and Development: A Review
Authors: Ashfaque Mohammed Waseem
Published: April 2022

A chatbot is computerized application program, which is using to interact with human (like a human conversation) known as a chatbot. Artificial intelligence or various techniques of artificial intelligence works as a backbone behind the smartness of the chatbot. With more artificial intelligence, machine-learning, and deep-learning development, some it gives the feelings like either talking to a human or chatbot. This review article offers potential knowledge on the basic concepts of chatbot. Future designers may understand chatbot with precisely and get the ability to use and build them properly for the function they want to run. However, with the approaching of new technology intelligent chatbot systems are developing using "knowledge-based models." The various types and classifications of chatbot, their design, and development. It should bring into our consideration while studying about the chatbot and it is the objective of the review paper.
Reliability Analysis of Industrial Model Using Redundancy Technique and Geometric Distribution
Authors: . Pankaj , Bhatti Jasdev , Kakkar Mohit Kumar
Published: April 2022

The present paper is an initiative towards analyzing the maintenance process of an industrial model using regenerative techniques. With an increase in demands to analyze the reliability of any industrial models following continuous or discrete distribution, the major concern to be considered inspect the possibility and level of failure and proceeding the failed unit for further repairing process. The system consists of two parallel units following the passive standby redundancy and with different failure mechanism. The proposed analytical methodology in the paper made it possible to assess the reliability of the whole system in the event of failure of its components. The stochastic analysis of reliability characteristics of the considered system to the types of repair time distributions was also studied using geometric distribution. The numerical equations and results being calculated for reliability parameters like mean time to system failure, availability of system in operative form, down period of the system following repair mechanism, using regenerative techniques, and geometric distribution. Graphical and analytical analysis were presented.
The Relationship of Edacious Behavior and Zoom Fatigue in the Millennium Students of India
Authors: Gupta Rohit , Chaturvedi Neha , Chand Pawan Kumar
Published: April 2022

The closure of educational institutions in India in March 2020 due to the ongoing COVID-19 pandemic resulted in an unexpected shift of students from traditional face to face classes to online learning. While the institutions, quickly tried to teach in a new format, the students continuously faced new challenges. The present study highlights to recognize and address the relationship between Edacious Behavior and Zoom Fatigue in the Millennium Students of India. The study follows a review of the literature approach. The finding of the study reveals that online learning has had many adverse effects on students’ health and performance. Continuous online gazing on a laptop by students leads to stress because of which there is an increased tendency towards food consumption at irregular periods. The emotional and physical fatigue that accompanied seemingly endless zoom learning includes feeling tired and exhausted and apparently even the possibility of overindulging.
The Shrewd Provoke of DATA Analytics in Automotive Industry
Authors: Samaskani Samsudeen S
Published: April 2022

Big Data is taking the world by storm. With the huge amounts of data emanating from various digital sources the importance of analytics has tremendously grown making the companies to tap the dark data that was considered useless all these years (2). Big Data tools and Technologies help the companies to interpret the huge amount of data very faster which helps to boost production. So, Big data applications are creating a new era in every industry (3). Transportation is a vital part of society and our everyday lives, so ensuring that our drives are safe is a top priority. Advancement in technology such as phone apps, black boxes, smart cars and so on, are all designed to take the human error factor out of driving and should help to enhance ultimate road safety. The Proposed system focuses on novel approach to provide enhanced road safety mechanism using Data Analytics.
The Artistic Exploration of Balbir Singh Katt: An Introduction
Authors: Bihari Vinit , Singh Arjun Kumar , Mallik Ranjan Kumar
Published: April 2022

Balbir Singh Katt, an eminent Indian stone carver of the modern era has always been credited for enrichment of the institutionalized ethos of monumental sculptures with a purified connotation tuned to post-colonial eclecticism. More than three decades (1970’s to 2000) during his career spanning, it was indeed amazing to see that how he continued his ‘sustained interest in handling large blocks’ invariably big boulders while many of his contemporaries preferred to do small or portable pieces for practical exigencies. This study investigates his artistic works and life in the domain of contemporary Indian Art. Through adopting qualitative research tools this paper explores in his artistic output in the context of monumental sculpture in public space in India.
Static and Total Pressure Analysis of Three Way Catalytic Convertor Using CFD
Authors: Girimurugan R , Logesh Kumar M a , Manikandan B , Shilaja C , Mayakannan S
Published: April 2022

Air pollution from automobiles both commercial and passenger vehicles push the research to make changes in catalytic convertor. Most of the commercial vehicles like coal transport and mineral transport trucks relay on diesel fuel in this regard, we consider the effects carbon monoxide, hydrocarbons that have not been burned, and nitrogen oxides. As a result of incomplete combustion, alcohols, aldehydes, and other partial oxidation products are released into the air. The whole process of this project is done with the help of CFD approach because it will reduce the material waste and we can optimize according to our desired results. In this study, a numerical analysis has been carried out on the catalytic converter by varying the coating materials. Magnesium Oxide (MgO) and Platinum with Palladium was selected as coating materials. For comparison purpose, normal catalytic converter without coating was analysed using CFD software. Different output characteristics of the exhaust gases’ static pressure and total pressure in the catalytic convertor are compared with each other. Outcomes of the numerical analysis shows that the catalytic converter which is coated with Platinum and Palladium particles yields the better static and total pressure than that of normal and magnesium oxide (MgO) particles coated catalytic converter.
Understanding Metalanguage in the Study of Aesthetics
Authors: Ranjan Ritesh , Das Saroj Kumar
Published: April 2022

Philosophical rationale characterized a metalanguage as a language about a language. From that point forward, the word ''metapicture'' was utilized by Mitchell to recognize an image about an image. When we are not managing language, we may imagine that we are not managing connotation. Be that as it may, the word ''meta'' and its aboutness may accept that an image needs to be deciphered and has significance. We imagine that this isn't precise to comprehend the Meta. The present article proposes to characterize the Meta as a tasteful class also, not as an intelligent one. An image is viewed as a metapicture comparative with the consideration that watchers have on it: they can or can't consider it to be a metapicture. Clearly, initiating the Meta quality changes the view of the image. One may feel that the Meta quality is expected to mysteries. Truth is told, self-reference frequently prompts mysteries. We correctly need to show that conundrums are not a vital fixing to actuate the Meta explicit inclination. Why? Likely on the grounds that the simple work is not intelligent; it's anything but a discourse. The reflexivity that is expected to be in the work is really the reflexivity of the insight of observers projected in the work. Also, to Kant's meaning of the wonderful, the construction ''meta'' lies in the subject, not in the image. The experience of the metapicture ought to really be named as the metaexperience of the image.
Comparative Analysis of Ovarian Images Classification for Identification of Cyst Using Ensemble Method Machine Learning Approach
Authors: Y Suganya , Ganesan Sumathi , P Valarmathi
Published: April 2022

Generally, cysts are painless. When ovaries get enlarged there is a possibility for torsion and infertility. To detect the ovarian cyst, ultrasounds are used. In this work, ultrasound image dataset of ovaries of different women is been collected and compared with their accuracy with random forest, KNN, and ensemble method. Ultrasound images from the hospital as input from the system, then a pre-processing process is carried out to remove noise in the image. The next step is the segmentation results used for feature extraction by detecting cysts and their sizes. The proposed work is done by comparing the simple cyst and PCOS images for the classification of ovarian cyst along with the ensemble method. Random Forest, KNN, and ensemble methods are combined to compare the accuracy result of cyst types. By using this algorithm, a comparison graph is plotted.
DigiVoter: Blockchain Secured Digital Voting Platform with Aadhaar ID Verification
Authors: T M Navamani , Sondhi Tajinder Singh , Ghildiyal Shivam
Published: April 2022

The Election Commission of India has talked about India's Electronic Voting Machines (EVMs) as dependable and impeccable, yet comparable electronic voting machines utilized around the world have shown to experience the ill effects of genuine security issues. This research aims to build a digital voting platform secured with the revolutionary concept of blockchain. A naive implementation of the same using Python for biometric authentication and NodeJs to create the blockchain is presented. It secures the blocks using 512-bit SHA-2 (Secure Hashing Algorithm 2). For authentication of users, the proposed model incorporates the use of biometric data which will be mapped to the cryptic unique Aadhaar card number of the voter. Thus, a platform is proposed to make the voting procedure easier, secured, and fault tolerant using blockchain. The results show secure vote casting by biometric authentication and saving in an immutable distributed fashion, thus keeping it safe from being altered.
Performance and Volatility Analysis of Real Estate Private Equity Index and Listed REIT Index: A USA-Based Study
Authors: Sharma Manu , Malhotra Keshav
Published: April 2022

The study analyzed the comparative performance and volatility analysis of a U.S. private equity real estate index and a U.S. real estate index. For performance, portfolio returns were analyzed for total risk, market risk, and bad risk. The public equity index, i.e. U.S. REIT Index, performed far better than the U.S. Private Equity Index in terms of returns with respect to total risk, market risk, and bad risk. The performance of the REIT index is not related to performance of the equity market, whereas the performance of private equity real estate index was partially related to performance of equity. This means that real estate investors in publically traded REITs can expect returns even when the equity market is not performing at all. The ARCH(1) and threshold GARCH model were used to perform volatility analysis of both indices. The study ruled out that negative news have greater influence on returns of both indices.
Pore-Scale Modeling in Metal Foam Heat Exchanger
Authors: Chin Adam Reduan , Kurnia Jundika Candra , Sasmito Agus Pulung
Published: April 2022

Increasing heat transfer performance of heat exchangers has been the primary focus in the thermal engineering field. Various improvement strategies have been proposed. One that is gaining considerable attention recently is application of metal foam. It offers larger heat transfer area and flow disruption that enhance overall heat transfer performance. All the while, most studies on metal foam are either experimental or simplified numerical model adopting homogeneous approach model which does not provide high fidelity information. Thus, this study is conducted to numerically investigate transport processes in metal foam heat exchangers by adopting three-dimensional pore-scale model which is expected to provide better accuracy and details on the transport processes in a metal foam heat exchanger. The numerical study was initiated with the model development, followed by numerical implementation and finally numerical investigation. The numerical investigation reaffirms past studies that the presence of metal foam does bring enhancement to the heat transfer. However, it comes with the sacrifice on the significant increase in pressure drop. The adoption of pore-scale model revealed details of transport processes inside metal foam heat exchangers.
A Systematic Literature Review on the Impact of Open Spaces on Human Physiological and Mental Well-Being in Post-Pandemic Housing in Urban Context
Authors: Dhar Grishma , Dash Shanta Pragyan
Published: April 2022

Open spaces are areas without any built structures that are open to the public and pose as a key infrastructure to the development of the urban fabric. Due to rapid urbanization, the quantity and quality of open spaces in housing neighbourhoods have reduced, affecting the resident’s psychological health poorly, which was further accelerated by the COVID-19 pandemic. The lower-income groups of the country have been most affected by the same. Hence, this study addresses the inequality in the distribution of open spaces and how open spaces can be used to improve the dwelling conditions for the disadvantaged sections of society. This study looks into the different typologies of open spaces in urban housing and investigates how the provision of open spaces and their correlated features are associated with the user’s health and well-being.The paper looks into existing literature about the topic to understand what is known and to examine its shortcomings. The research would help future public and private sector bodies in charge of designing homes for the low-income groups to understand the importance and implementation of open spaces in such housings to uplift and improve the physical and mental health of the urban poor of India.
A Rational Approach to Improve Access Time of Apriori Algorithm by Applying Inner Join in a Arm to Redefining Fis in Textual Data
Authors: Verma Neeraj Kumar , Singh Vaishali
Published: April 2022

Now the Days Data mining is observed as most demanding field in current era and its scope and contribution in research is beyond the expectation for next upcoming decades. Among the various techniques of data mining, Association Rule Mining (ARM) (8) plays a remarkable role and Apriori Algorithm is one of the most popular method to define frequent item sets(FIS) over huge amount of transactional data sets. Now, we are going to re-evaluate access time which consumes in scanning of database again and again for n-times looking for n-element FIS. Here, we conclude and compare our proposed New-Apriori Algorithm with the original Apriori algorithm (5) through experimental result to calculating frequent items on numerous groups of transactions with minimal support, for both Apriori and New-Apriori to improve in its performance by reducing the scan time, spent on accessing the database by 61.65% to 73.65% for uniform support and 81% for variable support.
Green Eco-Friendly One-Pot Synthesis of Luminescent Carbon Dots from Fruit Pod of Borassus Flabellifer and Stem of Trigonella Foenum-Graecum L and Its Anti-Microbial Applications
Authors: M Shanmuga Priya , N Ruthra , R Rajalakshmi
Published: April 2022

A simple, green, cost-effective, and eco-friendly approach to synthesize carbon dots from biowaste, namely the fruit pod of Borassus flabellifer and stem of Trigonella foenum-graecum L, is studied by one-pot hydrothermal treatment. As-synthesized carbon dots are characterized by Fourier transform Infra-red Spectroscopy (FT-IR), UV Spectroscopy (UV), Photoluminescence (PL) spectrometry, 3D optical profilometer, and Scanning Electron Microscope (SEM). The synthesized carbon dots show good anti-microbial properties for Staphylococcus aureus, Escherichia coli, and B. cereus bacterial cultures.
Towards Analyzing the Online Learner's Behavior: An Expedition to Recommender System
Authors: Kaur Ramneet , Gupta Deepali , Madhukar Mani
Published: April 2022

E-learning courses are gaining significance nowadays and are also an active area for research. COVID-19 pandemic has challenged education system across the globe and many institutions have switched to the online platforms for survival. Due to this, a lot many online courses are available and it is very difficult for a novice user to select suitable course as per one’s preference. Despite the great motivation for MOOC courses and rapid growth of online platforms, there has been tremendous drop out for MOOC courses. This paper focuses on analyzing user activities or user’s learning behavior in order to recommend suitable and unsuitable courses according to user preference. One of the key issues is nowadays is the increasing dropout rate of MOOC learners. The completion rate of most of the online courses is very less as compared to the number of enrolled participants. After creating and analyzing the user learners’ profile, the recommender system recommends suitable courses to the learners so that dropout cases will decrease and the user will be able to choose appropriate courses as per their preferences. Sometimes under social influence or lack of awareness, learners opt those courses that are not appropriate for them. As each learner knowledge level is diverse so customization is required in order to improve online learning experience. In this paper, authors have described various challenges of the online learners, suggested how a recommender system should be advanced and different types of recommender systems.
Economic Policy Uncertainty and Dividend Policy: Evidence from Commercial Banks in Nepal
Authors: Bhatt Sahadev , Jain Swati
Published: April 2022

We examined the effects of Economic Policy Uncertainty (EPU) on dividend distribution strategy to provide some evidence from developing country prospect. Using a sample of 19 commercial banks for 2009–2020 and the Baker, Bloom, and Davis Index as a proxy of EPU, our key finding demonstrates EPU has no significant direct relationship with the dividend decision of the banking firm. The empirical results reveal that the banking firm in Nepal neither terminate nor initiate dividends during EPU. Further, we found evidence of no precautionary incentive of banking executives as a reaction to policy distress. The dividend payment decision is intuitive for the banking firm in Nepal rather than uncertainty prone by the change in economic policy. If the precautionary motive dominates the firms, banks are supposed to distribute lower cash dividend once there is a more considerable degree of policy uncertainty as a buffer against adversity. Other firm-specific variables, such as corporate earnings, past year dividend, ownership structure, and bank size, affect the dividend decision of banking firms in Nepal. As our results contradict the previous major studies conducted in developed market settings, we suggest that the banking firms should consider, analyze, and adjust their dividend policy based on the opportunities and threats posit by the country's economic policy.
Ellipse Shaped Antenna for Super-Wide Band Applications
Authors: Kaur Parminder , Matta Lovish , Sharma Manish , Malhotra Shivani
Published: April 2022

A cross-elliptical antenna for super-wide-band applications is proposed in this paper. The antenna comprises of merged two ellipses, placed orthogonally to form the radiating patch and rectangular ground. The proposed antenna is simulated by using an RF simulator and Rogers RT Duroid 5880 substrate having a thickness of 1.6mm with relative permittivity of 2.2. The return loss of -50dB has been achieved at 12.5 GHz, which is best for Ku band applications. As the antenna shows SWB features, it can be also be used in X, UWB, and SWB wireless communications.
Human Capital – An Imperative Element for Company’s Valuation in the Pandemic Era
Authors: Abraham Sheena , Banerjee Porinita
Published: April 2022

Human capital is often one of the most ignored assets, though it plays a very crucial role in deciding the fate of an organization. The COVID-19 pandemic has compelled most companies to change their perceptions towards the importance of their human capital. With increasing acknowledgement about the importance of human capital in the pandemic era, many organizations have tried to effectively and efficiently measure their human capital with the help of various parameters. The present research is aimed at investigating the role of competency in the valuation of human capital. The current study has been carried out among employees, randomly picked from Information Technology (IT) companies located in Pune city. Primary data was obtained from a sample of 100 respondents for statistical analysis who had sufficient commitment and hands-on experience in their domain area. The recent study shows that companies do put a lot of emphasis on competency assessment while they evaluate their employees in the specific job function that they have been hired to perform. Result obtained verifies that competency assessment played a significantly vital role in the valuation of human capital.
Heart Disease Prediction System Based on Multiple Feature Selection Algorithm with Ensemble Classifier
Authors: K Kalaivani , Priya M , Deepan P , Sudha L.R. , Ganesh J
Published: April 2022

In today's world, deaths from heart disease have become a significant problem. Nearly one person dies from heart disease every minute. In most situations, the diagnosis of cardiac disease is based on a complicated mix of clinical and pathological data. This complexity leads to expensive medical costs, which have an impact on the quality of medical care. The intention of the work is to predict the heart disease based on medical records. The proposed method employs data mining classification methods like KNN, SVM, and Decision Tree to find out knowledge in a heart disease dataset, which is obtained from UCI Machine learning repository. The input dataset consists of 282 observations with 75 attributes. The feature selection of input dataset is done using Multiple Feature Selection Algorithm (MFSA), which uses Auto-Correlation and Information gain to find the best set of features and improves the performance of the classifiers. The results are obtained from classification methods with and without using Feature Selection in the form of accuracy. Based on the experimental analysis, classification with Feature Selection method outperformed classification without Feature Selection method.
Batch Electrochemical Treatment of Raw Pulp and Paper Mill Wastewater Using Electrode Combinations
Authors: Srikantha Hanumanthappa , Guruswamy Ashwini D , Mahesh Shivaswamy , Gaonkar Gopalakrishna V
Published: April 2022

SS and Cu electrodes were used in the electrochemical coagulation to treat pulp and paper mill wastewater using 4SS and 3SS 1Cu electrodes by applying cell voltages 12 – 24 V. Optimal cell voltage 18V showed COD removal of 89.64% for 4SS electrode and 84.74% for 3SS 1Cu electrode with simultaneous color removal of 99% and 90%. Other control factors used for optimal operation are sludge volume index (SVI), filterability, etc. SVI values were <100 mL/g for 4SS electrodes. The filtration characteristics of the ECC-treated sludge were established to determine the specific cake resistance (α) and the resistance of the filter medium (Rm). Lower α and Rm values for 4SS and 3SS-1Cu electrodes were found at 60 min ET. Proximate and ultimate analyses showed that 4SS and 3SS-1Cu sludge could be used as additive as well as adsorbent material for treating low strength wastewater.
Investigation of Thermal Behavior of Cylindrical Lithium-Ion Batteries for Electric Vehicle
Authors: Kumar Ravindra , Chavan Sandip
Published: April 2022

With growing concerns over climate change due to automotive emissions, fossil fuel depletion, and the increasing price of crude oil, electric vehicles have gained more interest as a mode of transportation. Various electric vehicles have been developed in recent years, including pure electric vehicles (EVs), hybrid electric vehicles (HEVs), and plug-in hybrid electric vehicles (PHEVs). One of the keen focus area in the ongoing development of EVs is their energy storage systems. Mostly lithium-ion batteries are being used as an energy storage system in EVs. Various complicated reaction occurs during charging/discharging of batteries and the thermal behavior of the batteries are coupled to these reactions. Electrochemical reactions affect the heat generation rate, and higher temperatures further increase the speed of the electrochemical reactions. Adverse operating temperatures can impact battery performance, degradation, and safety. Hence it is become very important to investigate the thermal behavior of the lithium-ion batteries. Thermal investigation of cylindrical lithium-ion batteries of different chemistry and shape factor is conducted for different charging/discharging rate and atmospheric conditions using numerical technique. The numerical technique includes the determination of surface temperature of battery by solving the energy balance equation using suitable numerical method. The accuracy of numerical techniques is validated using the experimental techniques. Thermal investigation conducted in this research can help in deciding the operating strategies of battery management system and further in designing the proper thermal management system.
A Framework of Smart Dispensing Unit for Optimizing Sanitizer Quantity Using Iot Schematics
Authors: Uppal Mudita , Chauhan Harsha , Gupta Deepali , Uppal Jayant
Published: April 2022

Nowadays, technology is helping everyone to cover their basic hygiene needs. During the COVID-19 pandemic, every person has started taking precautions, such as hand sanitization, wearing of masks, and social distancing. In this paper, the authors are focusing on hand sanitization. Latest sanitizer machines dispense sanitizer automatically because of touchless technology, but excessive use of sanitizer is harmful to the human skin. To address this issue, a smart sanitizer dispenser based on the Internet of Things (IoT) and Machine Learning (ML) has been proposed to fight against COVID-19. The proposed solution captures the image of hands and based on the size of hands and the number of germs present on the hands, the machine will dispense the sanitizer. In this way, the damage to human skin caused due to the excessive use of sanitizer can be reduced and the amount of sanitizer can also be saved.
An Improved Encryption Technique for Digital Imaging and Communications in Medicine (DICOM)
Authors: Shaktawat Ritu , Suwalka Isha , Lakshmi N , Panwar Avinash
Published: April 2022

Secured transmission is the most important aspect of transmission in today’s world as existing encryption techniques are facing different issues in the last few years. There is a high need for efficient and highly secured encryption techniques for medical data. In this work, various studies have been done so far but due to highly complex data. It limits the security high so here the present study proposes hybrid methods combining segmentation technique with scan pattern approach, which uses qualities of Segmentation, Scan pattern, and XORing with keys for medical data. The proposed hybrid method is prepared more strongly and novelly by smearing various operations on the pixels of the image provisional on the outcome of the calculation of the segmentation. The results analysis of various security parameters with previously existing techniques is significant.
A Study of Factors Affecting Buying Decisions of Millennials While Purchasing Organic Personal Care Products
Authors: Nagpal Himanshi , Bassi Payal
Published: April 2022

In today’s era people are very much conscious about the products which they are buying and the impact which they are creating on the environment. Customers prefer to buy a product which is non-hazardous to the environment and brings positive results when it comes to the utilitarian function. Increased knowledge of the various benefits of organic products over their synthetic counterparts has led to an upsurge in demand in the recent years. The study identifies the most preferred organic personal care brand amongst millennials and examines the motivational factor amongst millennials while purchasing organic personal care products. The study also helps to understand the factors affecting perception level of millennials while purchasing organic personal care products. The findings of the study can help businesses to better understand organic personal care products, frame marketing strategies and understand the factors affecting perception level of millennials during the purchase of organic personal care products.
Sustaining Organizational Excellence during Crisis through Psychological Contract and Organizational Citizenship- an Analysis in Healthcare Sector
Authors: Tabassum Fazeelath , Ghosh Nitu
Published: April 2022

Business environment turbulence and the challenges provided by the epidemic have drastically altered the working environment. During the crisis and remote working mode, strategic initiatives created employee behavioral changes, significantly impacting previously held perceptions about the psychological contract (PC) and organizational citizenship behavior (OCB). Understanding psychological contracts and job relationships will strengthen understanding of organizational citizenship behavior. The present research investigates the elements of organizational excellence in connection to the healthcare profession using psychological contracts and employee citizenship behavior. The research provides empirical evidence. The study contributes to the current frame of literature. It gives insight to the professionals working in the healthcare sector to know the role of the PC in establishing employee behavior through intervening variables that will lead to organizational excellence and organizational citizenship behavior. The study has practical implications for healthcare sector, enabling them to benefit from the findings in achieving organizational excellence.
Study of the Removal of Basic Blue-41 from Simulated Wastewater By Activated Carbon Prepared from Discarded Jute Fibre
Authors: Roy Hridoy , Shakil Ragib , Tarek Yeasin Arafat , Firoz Shakhawat H.
Published: April 2022

In this work, we reported a facile hydrothermal process to fabricate activated carbon (AC) from waste jute fibre. Sequential chemical and thermal activation have been introduced to form a highly functionalized and porous structure. The prepared AC was characterized by Field Emission Scanning Electron Microscopy (FESEM), X-ray Powder Diffraction (XRD), and Raman Spectroscopy. A hierarchical porous 3D cage-like microstructure was observed from FESEM. Non-linear highly disordered structure and low crystallinity were confirmed by XRD and Raman Spectroscopy. The synthesized AC was then used for batch adsorption study for the removal of an industrial toxic dye, basic blue 41 (BB41). The dependence of the adsorption process on different factors e.g., pH, contact time, and initial concentration has been investigated to find the optimum process conditions. At pH 8, maximum removal of 90 % was achieved. The adsorption was rapid for the first 30 minutes and reaches equilibrium at 70 minutes. Adsorption kinetics were interpreted by pseudo 1st and 2nd order kinetics, and it was best demonstrated by the later one. Langmuir and Freundlich isotherm models were linearized with experimental data; maximum adsorption capacity of 161.30 mg/g was calculated from the Langmuir model, which depicts the actual adsorption capacity.
Synthesizing Different Aspects of Content and Language Integrated Learning(CLIL)
Authors: Baheti Indu , Sood Parul
Published: April 2022

Though Content and Language Integrated Learning (CLIL) approach is not new to teaching - learning process, yet there is dire need to explore different aspects of CLIL intensively for withstanding results. This paper reviews research in primary, secondary and higher education contexts from 2015 to 2020. A review of methodologies, findings, their impact on teaching - learning process and the assessment criteria used, are discussed. This paper may help to outline CLIL research in European context up till now, highlighting the gaps which need to be explored for enhancing CLIL as a second language acquisition approach through content learning.
Free Electron-Ion Interaction and Its Effect on Output Current of Permeable Exchange Membrane Hydrogen Fuel
Authors: Dhobi Saddam Husain , Yadav Kishori , Jha Ajay Kumar , Karki Bhishma , Nakarmi Jeevan Jyoti
Published: April 2022

The mathematical model is developed to investigate the relationship between the Hamiltonian of the Proton Exchange Membrane Fuel Cell (PEMFC) and the output of the PEMFC. At constant response time, the Hamiltonian is directly proportional to current density and cell voltage, according to the established model (Nano-second). At activation overpotential 90mV, the Hamiltonian of PEMFC with current density increases without a hump, however at activation overpotential 1mV, a bump is detected at 0.47mAcm-2. The hump is also seen with cell voltage and power density at the same current density. The current density exponential term is responsible for the hump. PEMFC's Hamiltonian at low temperature is higher than PEMFC's Hamiltonian at high temperature. By examining the Hamiltonian with temperature and its relationship to a PEMFC output, the efficiency of the PEMFC can be increased by minimizing heat. Because PEMFC generates electricity and heat as a result of the chemical process. The collision of free electrons and protons around the electrodes generates heat energy. Because the Hamiltonian is inversely proportional to distance and directly proportional to current density and power density, the energy carried by free electrons and proton decreases as the distance between them decreases, resulting in the generation of heat energy during collisionless collisions. The free electrons and free protons circulate faster to form PEMFC outputs due to the short distance gap.
Hill Tourism and Its Impact on Economy and Employment Generation: A Review of Almora District, Uttarakhand
Authors: Dhasmana Prateek , Bhandari Harveen
Published: April 2022

Tourism is the considered as one the major forces of economic generation globally. In the case of India, tourism is the third highest net earning resource of foreign exchange as compared to other sectors. India is a nation that has diversity in every aspect whether it is natural, linguistic, or cultural. Hill towns are popular tourist destinations as they are famous for their natural beauty and distinguishing cultural traditions. Despite being the major attraction for tourists, there is a major problem of outmigration from some of the states. Uttarakhand is the youngest among the Himalayan hilly states. The paper aims to study the tourism potential and explore its associated challenges in the Almora district of Uttarakhand to derive key indicators that can help in improving the tourism growth and promote local heritage. It attempts to analyze whether the identified indicators have any direct influence on creating employment opportunities and revenue generation.
Transforming Traditional Cities to Smart Cities: An Overview of Hriday Scheme, India
Authors: Kaur Parminder , Bhandari Harveen
Published: April 2022

Transformation of the traditional cities into smart cities is an effort towards emphasizing the significance of traditional cities. It also attempts to magnify city functions to promote economic growth which helps in enhancing the living quality. However, gradual modifications and advancement in people’s living style leads to deterioration of built heritage. In 2015, the government of India introduced the HRIDAY Scheme under smart city mission with the dream to rejuvenate the character of the traditional cities. Conversely, through findings, it has been revealed there is a considerable difference among the government’s initiatives and the local community’s aspirations. This paper discusses the approaches of HRIDAY scheme which were implemented in 12 selected traditional cities and the resultant challenges are elaborated through qualitative and quantitative analysis. The present research paper identifies five key indicators that require deliberation while planning the revitalization process, based on which a theoretical framework can be developed.
Human Psychology and Destination Preference at Religious Sites
Authors: Kapoor Sunanda , Sehgal Vandana , Mathur Mayank , Bhandari Harveen
Published: April 2022

The focus of the research is on the psychology of a pilgrim who is seeking an ecstatic experience at a religious site. The scriptures have inspired a pilgrim, and the pilgrimage to holy destinations to relate the locations as mentioned in the scriptures. The study aims to establish a correlation between authentic experience and destination preference. Cognitive approach has been adopted to understand human psychology and corresponding destination preference has been identified. The purpose of the assessment is to find out which place in a religious city is the most popular among pilgrims. Results of the perception survey has been analyzed and further spatial configuration of the identified locations has been documented through physical mapping. It has been observed that the locations which are dominant in natural elements are mostly liked by the pilgrims.
Effect of Different Abiotic Stresses on Allium Cepa Plants: Results from a Field Study of Two Different Seasons
Authors: Khan Hurmat , Shri Richa , Bansal Gulshan
Published: April 2022

Abiotic factors have the capacity to influence the nature and quantity of secondary metabolites. Alteration of environmental factors during plant growth can affect the production of bioactive phytoconstituents. A six-month field study was carried out in two different seasons to assess the effect of different abiotic stresses on bioactive compounds, i.e. flavonoids and phenols and plant yield of selected Allium species, i.e. Allium cepa L. (AC). (Family Amaryllidaceae). AC plants were grown for six months from November to April and for another six months from May to October on three different soil types (i.e. black, red, clay-loamy) and various stresses (salinity, water deprivation, flooding, fertilizer, metal, shade) were applied on the plants. At the end of the season, plants were collected, dried, and plant yield was determined. Hydroalcoholic extracts of all samples were prepared. Plant yield, TFC, TPC were determined in all the extracts. The results show varied response of AC plants to different soil types, stresses, and seasons. AC plants cultivated on red soil with fertilization give higher biomass yield in both seasons. AC plants grown in black soil under metal stress have highest TFC, TPC. Hence these conditions may be recommended for incorporation in cultivation practices of these valuable medicinal plants to ensure commercial supply of plants with higher phenol and flavonoid content and better plant yield.
The Imperative Relationship between Architecture, Urban Design and Development and Disaster Management
Authors: Dutta Atul , Kumar Ambuj
Published: April 2022

The increasing frequency of disasters, combined with a variety of emerging hazards and patterns, exposes an ever-increasing number of people to disaster repercussions, resulting in greater damages and vulnerability around the world. The goal of this research is to find out the role of architecture, urban design, and development interventions to help in catastrophe recovery and management. The literature was examined in order to discover the many ways in which these disciplines complement one another and after analyses and synthesis various approaches and gaps were identified and summarized in the paper. Professionals in these sectors may play a significant role in disaster management, and as a result, disaster management and sustainable development must be approached collaboratively.
Role of Parks as Recreational Spaces at Neighborhood Level in Indian Cities
Authors: Turna Niva , Bhandari Harveen
Published: April 2022

Neighborhood parks are an important part of open public spaces that are perceived as public realm and scenic comfort which promotes social and cultural interaction and preserves the natural environment. These breathing spaces within the neighborhoods play a vital role in ensuring that residents have a good quality of life. Despite knowing the unparalleled role that open public spaces play in residential neighborhoods, they are often threatened by rapid urban growth due to which the size of the urban green and open space is decreasing drastically. To ensure sustainable cities and communities, green parks play a vital role in the urban fabric of the neighborhood. This study attempts to identify indicators such as walkability, accessibility, legibility, sociability, safety, and inclusivity that aid in creating parks as efficient recreational spaces at a neighborhood level.
Role of Online English Language Learning in Enhancing Linguistic Skills
Authors: Garg Bharti , Pant Sangeeta
Published: April 2022

With the emergence of a new era of online learning, it becomes important to find out how effectively the online learning programs are implemented and also to comprehend learners’ learning of linguistic skills during the unforeseen and unpredictable situations during COVID-19. An attempt has been made to delineate how each of the various language skills are enhanced through online learning to explore role of online English language learning in enhancing linguistic skills among school students. Mixed method approach including both qualitative and quantitative data was used. The sample consisted of 30 students of grade 9 and 7 English language teachers of high schools of Dist. Mandi H.P. The paper concluded that online learning has proved as an effective platform through which both the students and teachers had active interaction. Students were able to gain a different experience of language learning outside the classroom with the focus on language skills.
An Investigation of Ti-6Al-4V Brake Disc Using Ansys Simulation
Authors: Agarwal Neel , Yarlagadda Sai Sravan , Thatikonda Sai Santosh , Prabu S. Senthur
Published: April 2022

The objective of this research is to investigate the disc brake performance by comparing two different types of materials like Ti6Al4V (An alloy of Titanium, Aluminium, and Vanadium) and convectional grey cast iron. The comparison of disc brake material is done on the basis of thermal and structural analysis, using Ansys simulation software which will help in the computational dynamics of disk brake in terms of Total heat Flux, Temperature variation, deformation and Stress. The heat-dissipating property reduces brake fade, which is the phenomenon where braking performance is influenced by the heat that’s why Thermal analysis is being carried out to dissipate the heat efficiently and hence increase the life span of the disk brake. From the simulation results, the change in geometry affects the thermal properties significantly. By performing Topology Optimization in disc brake and by comparing between conventional grey cast iron with Ti-6Al-4V materials in disc brake.
Revised Algorithm of Vogel's Approximation Method (RA-VAM): An Approach to Find Basic Initial Feasible Solution of Transportation Problem
Authors: Singla Jajji , Gupta Gourav , Kakkar Mohit Kumar , Garg Neha
Published: April 2022

In corporate and industries sectors, transportation plays an important role. Vogel Approximation Method (VAM) is a effectual method to find the initial basic feasible solution of transportation problems, but when there is a tie between highest penalty costs for rows and columns, we have to choose arbitrary which results we may get solution far from optimal solution also. In this paper, we have modified the steps of VAM to find the feasible solution. The proposed revised algorithm of Vogel Approximation Method (RA-VAM) gives feasible solution which is always nearest to the optimal solution. Three examples are also solved to illustrate RA-VAM.
Proliferation of Digital Payments in India: A Pathway to Cashless Economy
Authors: Muthukumaran Kavitha , Haridasan Vani
Published: April 2022

The goal of this article is to learn about the demographic characteristics that influence the rise of digital payments in India, compare the various means of digital payments, and examine the challenges that consumers experience. The popularity of digital payments has skyrocketed in recent years, especially since demonetization. This article can be taken into consideration, as it focuses on SDG 1 – Poverty. The rise of digital transactions will aid in the creation of a cashless economy, which will help to reduce black money, corruption, and tax evasion while also increasing transparency in all transactions. This study is based on primary data acquired from 189 respondents via a questionnaire survey utilizing a suitable sampling approach. Fear of security threats was discovered to be one of the causes for non-use of digital payments, according to this study. People with a higher level of education were more aware of digital payments, and the majority of people began utilizing them after the demonetization. Transaction failure was the most common issue users encountered, and security risks included fake calls, redirection to another website, etc. It was also established that the majority of users are likely to suggest digital.