bluuebunny/crossref_metadata_2025 huggingface dataset:
LGBT Inclusion in UNSDGs: Has the Situation Improved for Sexual Minorities in Indian Workplaces?
Authors: Bhattacharjee Anurupa , K Hemalatha
Published: April 2022

The United Nations in 2015 proposed its central transformative promise of ensuring that all are provided with equal justice and fair treatment (UN Sustainable Development Group, n.d.). This Universal Value Principle to "Leave No-one Behind" advocates the need to look beyond genders, geography, or age and address discrimination, vulnerability, and inequalities of all forms. Sexual minorities, however, have always been overlooked when it comes to various national and international policies (Dorey). In India, the acceptance of sexual minorities has been considered poor owing to societal biases and traditional misinformation. Sexual minorities find it relatively difficult to break through these waves of biases. Speaking of the workplace, policies support LGBT employees, yet it is ineffective in helping them survive in such a competitive environment. Referring to certain goals in this context, such as goal 5 that talks about gender equality, Goal 10 that aims for inclusivity, Goal 11 aims for safety, and Goal 16 that promotes the idea of equal justice and reduction of violence, these are necessities for every sexual minority employee who earns a living in formal work settings. The sexual minorities are still facing a tough time owing to gender differences and inequality. Indian societies have miserably failed to accept them wholeheartedly, posing a considerable hurdle in UNSDGs' aim of absolute inclusivity by 2030. The authors in this article hence analyzes the situation of sexual minorities in the workplace. The article is a qualitative account presenting an in-depth analysis of experiences of sexual minorities in their workplace.
Speed Prediction Models for Urban Arterials Under Mixed Traffic Conditions
Authors: Reddy Kandukuru Jagan Mohan , Srivastava Paritosh
Published: April 2022

Speed prediction models help in providing opportunities in gathering specific information regarding traffic control processes. This study explored the introduction chapter through which aim and objectives can be analysed properly. The literature review section also highlighted specific requirements of traffic conditions and theoretical concepts of traffic management systems. The Methodology chapter provided a specific method for data collection and other processes of this research study through which structured information can be gathered properly. The experimental and thematic analysis helped in identifying all possible factors that are responsible for finding the speed and density of traffic management processes.
Z-Score Normalized Features with Maximum Distance Measure Based k-NN Automated Blood Cancer Diagnosis System
Authors: P Umarani , P Viswanathan
Published: April 2022

Leukemia is a blood-forming cancer disease characterized by the abnormal growth of White Blood Cells. Early detection and treatment of cancer reduce mortality and increase the survival rate. Most of the k-NN approaches used a different combination of statistical and geometrical features of the nucleus and cytoplasm with and without normalization, resulting in an uncertain range of features. Minkowski, Euclidean, City-block, Correlation, and Cosine distance metrics discover the average similarity between features predicts Leukemia with less accuracy. This paper proposes a Z-Score normalized feature set combined with a k-NN maximum distance measure-based automated blood cancer diagnosis system to address this problem. Initially, the features are normalized using the Z-score normalization method, which eliminates the mis-classification outcomes. The Chebyshev distance measure, which finds the maximum similarities between the features when k=1, has the highest accuracy of 97.92%. Furthermore, tuning the parameters by grid-search improves the performance rate by 98.65% .
Fixed Point Theorems Using Comparison Functions View to Dislocated Quasi-Metric Spaces
Authors: Khan Abid , Pathak Pratap Narayan , Sharma Santosh , Verma Giriraj , Kumar Varun , Tripathi Jitesh P.
Published: April 2022

Some generalized fixed-point theorems are established in space using contractive and comparison functions. Continuous mappings are used for this purpose. The obtained theorems are generalization and extended forms of well-known basic theorems on this phenomenon. This theory is applicable in different field of engineering and technology, especially in electrical and electronics engineering. One of the most dynamic area of research of the last 60 years with a lots of applications in various fields of pure and applied mathematics as well as in physical, economic, or life sciences also equilibrium states of an economy, optimization processes solutions, fractals, closed orbits in a system of mutually gravitating bodies etc. are fixed points of an appropriate operator. Metric fixed point theory is the branch of fixed point theory in which some conditions on the underlying space and on the mappings play a fundamental role. In some sense the theory is a far-reaching outgrowth of Banach's contraction mapping principle.
The Role and Application of 3D Printer in the Automobile Industry
Authors: V Mohanavel , R Priyadharshan , M Ravichandran , Sivanraju Rajkumar , Velmurugan Palanivel , Subbiah Ram
Published: April 2022

In this paper, we will discuss Additive Manufacturing, which is regarded as one of the most significant innovative industrial processes in the coming years, especially in the automobile industry. As of late, the utilization of added substance fabricating (AM) in the plan has gotten a ton of consideration. To print building parts utilizing total based materials, metals, or polymers, huge mechanical arm and gantry frameworks have been created. The robotization of the assembling cycle, the serious level of plan freedom, and the subsequent extension for streamlining are altogether huge benefits of AM. We discussed all of the terms that made this technology superior to conventional production and prototyping processes in this paper. In the automobile industry, additive manufacturing is a process that follows the industries to manufacture different components.3D printing otherwise called additive manufacturing has the ability to democratize mechanical part production. 3D printing machines can find their way into all aspects of the automotive industry in the future.
Role of Perovskite-Type Oxides in Energy Harvesting Applications
Authors: Padha Bhavya , Verma Sonali , Mahajan Prerna , Arya Sandeep
Published: April 2022

Perovskite type oxide (PTO) is an extensively studied material over the past decade. Deformations occur as a consequence of variances in their ionic radii and electronegativity, which come from the production of oxygen or cation deficiencies, or alterations in their respective bonding angles. The perovskites' defects and order–disorder crystal structures result in a wide range of functional characteristics. This paper reviews the contribution of perovskite-based oxides in these applications. In this context, the future scope of these materials has been investigated to enhance the performance parameters like specific capacity, power conversion efficiency, energy density, and cycle life. This research will aid in the selection of suitable perovskite materials.
Supercapacitive Behaviour of Manganese Dioxide/Tungsten Bronze Composites
Authors: Hasan Md. Akib , Islam Md. Mahinur , Susan Md. Abu Bin Hasan , Islam Md. Mominul
Published: April 2022

Polyoxometalates (POMs), nanosized-oxide clusters, have received much attention over recent years as an electrode material due to their unique characteristics including high protonic conductivity, acid tolerance, multi-electronic redox properties etc. In this study, the capacitive behavior of aluminum counter cation-based tungsten bronze (POM-Al) and its composites with MnO2 was studied. The as-synthesized materials were characterized by Fourier-transform infrared spectroscopy (FTIR), UV-Vis. reflectance spectroscopy and electrochemical techniques. POM-Al exhibited inferior capacitive performance, which dramatically changed upon the fusion of MnO2 with it. Only 5% of MnO2 in the composites enhances the specific capacitance of POM-Al by more than 7-times. This shows high promise of highly robust POMs for fabrication of acid electrolyte-based supercapacitors.
Role of Text Mining to Enhance the Quality of Product Using an Unsupervised Machine Learning Approach
Authors: Mishra Devendra Kumar , Kumar Jitendra , Chaudhary Jitendra Kumar , Upadhyay Dr. Arvind Kumar , Sharma Dr. Sanjiv
Published: April 2022

A product can be well-defined as an item that is prepared for sale. When any organization is offering any item for sale, then it is called product. A product may be a service provided by any organization. Each product has their cost and sold on a price. Price of any product is determining on the basis of quality of product. Quality of product refers that what number of features are incorporated in the product those are fulfilling the requirements of the customer and how it will be modified so it meets to customer’s expectations. This paper specifies the role of text mining to extract different parameters of product available on different sources in unstructured form and present machine learning technique for enhancing the product quality.
Field Enhancement in Nanoparticles Due to IR Vortex Beams
Authors: Sharma Sahil , Sinha Abhisek , Sharma Vandana , Sharma Ram gopal
Published: April 2022

In this report we present our study of interaction of light carrying OAM (Orbital Angular Momentum) with nanometric metallic discs. Plasmonic eﬀects are known to give rise to high local ﬁeld enhancement factors in gold nano-discs. These high intensities near ﬁelds have found use in a wide variety of imaging and detection applications. The local ﬁeld enhancement factor near the surface of the disc was calculated numerically using ﬁnite element method using the Comsol package. We report a signiﬁcant increase in the local ﬁeld enhancement factor for light beams carrying OAM compared to Gaussian beams which are attributed to Localised Surface Plasmon Resonances (LSPR). Such large enhancements in the ﬁeld can be immensely useful in the ﬁeld on near ﬁeld microscopy and electron generation.
Digital Banking: The New Normal
Authors: Mageswari S.S , Sasirekha P
Published: April 2022

Technology is playing a very important role in today’s world. Each sector is adopting different methods to make value in this digital world. Banking is experiencing a technological stir right now, especially in this pandemic era. AI is being adopted first by the banking sector (Vijai, 2019). This period has brought a drastic change in the world where banking sector played a very effective role in satisfying their customers. The majority of the people have come in the way of using digital banking through which it helped many customers to do various payments etc. From Siri to self- driving cars, AI is moving though a rapid pace (Navleen Kaur, 2020). The objective of the study is to understand and know about the awareness about the factors influencing to adopt AI-based banking services. Primary data was used to collect from 275 respondents. The study concludes that the banking sector should withstand the changes since, “Change is the only permanent thing.”
Comparison of Logistic Regression and Concept Drift Adaptation Algorithms for Modeling Credit Card Data Set with Identification of Accurate Fradulents
Authors: K Vijaya Kanaka Mahalaxmi , K Sashi Rekha
Published: April 2022

To predict the accuracy percentage of credit card fraudulent transactions using Logistic Regression algorithm. Materials and methods: Logistic Regression with sample size=100 and Concept Drift Adaptation (CDA) with sample size=100 was iterated different times for predicting accuracy percentage of credit card fraudulent transactions. The sigmoid function used in logistic regression maps the value between 0 and 1 which helps to improve the prediction of accuracy percentage. Results and discussion: Logistic Regression has significantly better accuracy (98.2%) compared to Concept Drift Adaptation accuracy (78.4). There was a statistical significance difference between Logistic Regression and CDA with (p=0.001) (P<0.005). Conclusion: Logistic Regression algorithm helps in predicting with better accuracy percentage of credit card fraudulent transactions.
In-Silico Analysis to Identify Differentially Expressed and Methylated Genes in Esophageal Squamous Cell Carcinoma: Search for Potential Biomarkers
Authors: Gupta Shubhi , Srivastava Aprajita , Sharma Rinu
Published: April 2022

Early detection and diagnosis aided by quality treatment and proper patient care is crucial for reducing the overwhelming cancer burden. Esophageal Squamous Cell Carcinoma (ESCC) is a highly aggressive cancer of esophageal epithelial cells and it is associated with high mortality rates, poor prognosis, differences in patient response to specific treatment modalities, and metastatic potential. Despite various therapeutic interventions, there have not been any remarkable results in parameters like increase in prognosis, and 5-year survival rates. New diagnostic biomarkers specific to the stage and patient response will provide significant therapeutic targets for ESCC. Differential changes in gene expression and aberrant DNA methylation can be used for elucidating biomarkers for early diagnosis, better prognosis, chemoprevention, and personalized therapy. In this study, integrated bioinformatics analysis has been applied to identify differentially expressed and aberrantly methylated genes in ESCC. For insights into molecular mechanisms and pathogenesis of ESCC, notable pathways associated with ESCC were identified.
The Influence of the National-Cultural Image of the World on the Construction of Metaphors in the Poetic Discourse
Authors: Bakhronova Dilrabo , Abduraimov Sobir
Published: April 2022

Abstract The poetic language of Federico García Lorca amazes the reader’s imagination with the richness of images with the outward simplicity and clarity of style. Lorca’s poems simultaneously reveal to us both the national and cultural specifics of the Spanish linguistic picture of the world, and the ways of cognition and reflection of reality by the author, his assessment of the phenomena of this reality from the standpoint of the aesthetic ideal. One of the ‘keys’ of the secret of the phenomenal success of Lorca’s poetry is its metaphor city, the semantic aesthetics of which is revealed only in the context of not only the poems themselves, but also in the context of Spanish culture as a whole. The metaphor, we emphasize once again, is one of the most mysterious phenomena of language, the intuitive comprehension of which is inherent only in true poets. In a metaphor, reality escapes, as if hiding from thought, and then a deep and urgent question begins to arise before the researcher about the role of metaphor in cognition. In the work of Federico Garcia Lorca, the ability of metaphor to clearly reveal the features of national culture characterizes the Spanish linguistic consciousness and the Spanish linguistic personality. The humanities are armed with modern scientific research tools at the present stage of development and lay the foundation for studying the role of metaphor in understanding the essence of Federico Garcia Lorca's work, as well as its relationship and interaction with reality, thinking and consciousness.
Growth, Structural, and Electrical Properties of Spin Coated LaNiO3 Conducting Oxide
Authors: Thankachen Nisha , Sengunthar Poornima , Patel Shivangi , Joshi Utpal S
Published: April 2022

LaNiO3 (LNO) perovskite oxide thin film nanostructure has been prepared using spin coating technique for its homogenous growth, and structural and electrical properties on quartz substrate. X-ray diffraction (XRD) confirmed standard cubic perovskite symmetry. Surface morphological measurements were carried out using atomic force microscope (AFM), which shows uniform, smooth, and crack free surface with RMS roughness of 7.08 nm. This oxide based conducting layer can act as an excellent conducting bottom/top electrode providing brilliant seeding or buffer layer for subsequent ferroelectric/ferromagnetic layers. This incorporates that it can act as an excellent conducting bottom electrode. I-V characteristics of LNO demonstrated a small shift in current with the application of low perpendicular magnetic field of 0.58T. p-type conduction. Average hole concentration of 3.66 x 10+17 cm-2 was estimated from the Hall effect measurements. The magnetoresistance (MR) of the sample was found to be +48.26%.
Comparative Analysis of Flow Rate Pattern, Velocity of Seminal Plasma, and Spermatozoa in Premature Ejaculation Category for Identification of Infertile Conditions Using MATLAB Software
Authors: D Harini , A S Vickram
Published: April 2022

The aim of this study is to identify the variation in flow rate pattern, maximum and mean velocity of sperm movement between premature ejaculation category, and normospermia conditions using MATLAB software. Materials and methods: Semen samples were collected for normospermia (N=28), premature ejaculation (N=28), and semen analysis report has been done by standard world health organization protocol. Flow rate pattern and velocity was evaluated using MATLAB software for both the groups using standard values and assumed values. Results: Independent sample test was done which reveals that the flow rate (P= 0.193), max velocity (P= 0.374), and mean velocity (P= 0.067) was found to be statistically insignificant for normospermia and premature ejaculation category. Conclusion: Flow rate in normospermia condition (0.09817 m³/ sec), mean velocity (is 0.03125m2/sec), and max velocity (0.0625m3/sec) found to be better in case of normospermia than premature ejaculation category in mathematical modeling. This indicates the flow rate and velocity plays a major role in premature conditions and in the case of erectile dysfunction.
A Review on Design of Additively Manufactured 3D Printed Tools for Sheet Metal Forming Processes
Authors: Bhatia Chandrakant Vishnu , Patel Dhiren R
Published: April 2022

The additive manufacturing technology is progressing at a faster rate than any other manufacturing process, as it influences the process innovatively and facilitates customize products and iterative design, which help the production system to achieve a higher goal. Further, rapid prototyping like the 3D printing process is now being the alternative support system for traditional manufacturing. The industries are relying on rapid prototyping, which is now a key factor in competitive leading market conditions. Due to the growing interest, industries such as sheet metal forming, aerospace, automotive, healthcare, electronics, food, fashion, and retail are adopting this technology aggressively. On the other hand, to optimize the geometry and process parameters of sheet metal forming for economic batch production, sheet metal industries are using 3D printed tools for forming processes. In this study, the review of sheet metal forming processes is done based on the design of tooling development by Fusion Deposition Modelling 3d printing technology. Further process parameters like punch force, blank holding force, anisotropy, clearance, bend allowance are studied for deep drawing and V-bending process. In a later stage cost, comparisons of standard steel tools and polylactic acid (PLA) tools are carried out on basis of volume, density, and cost. The findings suggest that 3d printed tools can be used for small lot production due to easy availability and flexibility in the manufacturing system of the sheet metal forming process.
Digital Financial Inclusion and Women in the Informal Economy
Authors: Nair Ambika R
Published: April 2022

The informal sector is a vast and significant segment of Indian economy in terms of its economic contribution and growing number of workers the sector engages. This informal sector is the biggest source of female employment, their significance was considered marginal and they constituted the reserved labour force. In a report of Deloitte, the consultancy firm, 95 percent or around 195 million women are employed in the unorganized sector or in unpaid labour in India. It further says that involving women in India’s workforce can help achieve future aspiration that can boost India’s GDP by 27 percentage. Unfortunately, these women are often discriminated in terms of wage and are left with job insecurity. They are paid very meagre wages and the employer is not accountable to any one because there are no complaints on it. This paper analyzes the opportunities and challenges of digital financial inclusion of women workers in the informal sector and see how far this can promote development of the informal economy, which in turn improves the overall GDP and eradicates poverty to a good extent.
Comparison of Power Generation from Restaurant Wastewater Treatment Using Microbial Fuel Cell Under Mesophilic Conditions with Thermophilic Conditions
Authors: K R Vineela chowdary , Ethiraj Baranitharan
Published: April 2022

The major aim of this study is to compare the power generation of dual microbial fuel cells (MFC) operated with mesophilic conditions and thermophilic conditions using restaurant wastewater. Materials and methods: Restaurant wastewater samples were collected from MFC with thermophilic conditions (N=14) and mesophilic conditions (N=14) operated for 10 days (G Power 80%). Voltage was measured using a multimeter and current, power, and power density was calculated from it for both groups. Results: The power generation was found to be high in MFC operated with thermophilic conditions (642 mW/m2) compared to mesophilic conditions (192 mW/m2). The independent sample T-test was done which showed that the power generation of MFC operated with thermophilic conditions (p < 0.001) found to be significantly higher compared with MFC operated with mesophilic conditions. Conclusion: The study shows that MFC operated with thermophilic conditions are able to achieve higher power generation compared to mesophilic conditions.
Comparison of Antimicrobial and Antipathogenic Efficacy of Tea Tree Oil Nanoemulsion Against Gram Negative Pseudomonas Aeruginosa Infection in Cyprinus Carpio
Authors: Mallika Linga , S Thanigaivel
Published: April 2022

The major aim of this study is to compare the antimicrobial and antipathogenic efficacy of tea tree oil nanoemulsion against gram negative Pseudomonas aeruginosa and invivo antibacterial efficacy of tea tree oil nanoemulsion in Cyprinus carpio. Materials and methods: Tea tree oil nanoemulsion (TTNE) preparation was done by the standard protocol. Tea tree oil nanoemulsion (N=21) and control antibiotics (Amoxicillin) and zone of inhibition was observed for the well and disc diffusion as per the procedure. Invivo efficacy of tea tree oil nanoemulsion in Cyprinus carpio was performed according to the standard procedure. Results: Independent sample T test was done which revealed that nano formulated tea tree oil showed comparatively good results against Pseudomonas aeruginosa with respect to the control antibiotics. The zone of inhibition in well diffusion was found to be 11 ±1mm for TT oil nanoemulsion and 17.25 ±1mm for antibiotic respectively. Nano formulated tea tree oil appears to have the MIC of 40µl and attained significance was (P<0.005). Conclusion: Tea tree oil nano emulsion showed better significant results than the antibiotics for zone of inhibition.
Comparison on BER Performance Using Linear Filtering Least Square Method and Least Square Method for MIMO-OFDM Based Communication Systems
Authors: Harshavardhan P. , Raja A
Published: April 2022

In Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, the Bit Error Rate is poor by using Linear Filtering Least Square method (LFLS) and Least Square (LS) method for massive MIMO-OFDM systems to extend the strength of the signal and to scale back the noise. Therefore the objective of the project is to maintain better Bit Error Rate performance. Materials and methods: Using Linear Filtering Least Square method, different values are used to enhance the Bit Error Rate (BER). The proposed method is compared with the least square method, the results are obtained by using Matlab simulation software. Results: The performance of Bit Error Rate is calculated by using the Linear Filtering Least Square method and enhanced Least Square method parameters. At 20 dB SNR, the linear filtering least-square provides the BER value is 10-3, whereas the Novel enhanced least-square scheme provides the BER value around 10-5. Conclusion: Based on experimental results and statistical analysis using the independent sample T-test, the Least Square method significantly performs better than the Linear Filtering Least Square method.
A Contemporary Approach on Brain Tumor Edge Detection of Image Segmentation Using Log, Zero-Cross, and Canny Operators Comparing to Color Coding Technique for Efficient Discovery of Disease
Authors: A SaadhanaSree , C.M. Velu
Published: April 2022

Aim and objective: The main objective is to reduce medical and related errors in the detection of brain tumors from MRI scans and to improve the predictive accuracy. This is aimed to be achieved by highly effective tuned models. Materials and methods: Accuracy was performed with two groups Sobel operator (N=125) and Canny Operator (N=125). Result: Independent sample T-Test was carried out using Sobel operator and Canny operator. Canny Operator(93.2%) performs better than Sobel operator (87.4%). There is a statistically significant difference between Sobel operator and Canny operator. The results were obtained with a level of significance (p<0.05), with pretest power 80%, using SPSS tools. Conclusion: The results conclude that the proposed Canny operator model is a contemporary approach, which helps to identify and predict with better accuracy percentage (93.2%) at event systems.
The Energy Matching Economics Using Simulation Approach for Implementation of Nearly Zero Energy Building Design
Authors: Y Bhanu , Rao K.Srinivas , Rajesh P.Srinath , Prasad G R K D Satya
Published: April 2022

The desire to approach a nearly Zero Energy (ZE) framework is affected by existing characterizations for two primary reasons: they only affect the energy based system, and They do not create a benchmark that assure designs are optimized for lower emissions and energy usage before using sustainable energy methods to achieve energy requirements. Energy matching defines the amount of load handled by the building's generation as well as the interface with neighboring grids. The optimization method adopts selection criteria of a large number of possible combinations and employs the most cost-effective choices to produce a minimal cost curve to attain efficient energy homes with good performance levels. The purpose of this study is to investigate a building's energy matching economics with specific balance choices that are classified to create the path for least cost of nearly zero energy building.
Towards Formalizing Online Education: Role of Libraries in Mooc Era
Authors: Liao Min , Rai Laxmisha , Liu Fasheng
Published: April 2022

There are several existing challenges when it comes to MOOC (Massive Open Online Course) learning, and most of them are related to proctoring exams, managing assessments, authenticating learner verification, and localization of learning. In this paper, the role of university libraries to manage these challenges are discussed. There are several reasons, for choosing library to managing these challenges. Firstly, libraries act as an interface between worldwide publishers and universities. Secondly, they have better infrastructure in interacting with online production, integration, as well as subscription of journals, magazines, and educational resources. Thirdly, libraries also have physical infrastructure such as space and reading rooms which are suitable for conducting candidate verification, authentication, and to act as exam centers. Finally, human resource available in libraries are more suitable for academic development, such as integrating MOOCs into educational materials, as well as resolving issues related copyright and payment for subscription of learning resources.
Synthesis, Characterization and Oer Performance of CrVO4 nanoparticles
Authors: RT Yogeeshwari , N Srinivasa , L Shreenivasa , Khosla Ajit , C Manjunatha , S Ashoka
Published: April 2022

The production of clean hydrogen and oxygen in the recent years gained significant research interest owing to the serious climate change arising from the rapid and excessive use of fossil fuels. In this report, a simple method has been proposed to synthesize chromium vanadate (CrVO4) nanoparticles. The prepared CrVO4 nanoparticles were characterized using various spectroscopic techniques. The thoroughly characterized CrVO4 nanoparticles were coated on the nickel foam (NF). Electrochemical performance of the CrVO4 towards oxygen evolution reaction (OER) is evaluated for the first time. The CrVO4/NF exhibits 50 mA cm-2 at an overpotential of ~605 mV and this observed overpotential is significantly lower than the overpotential exhibited by bare NF (775 mV). The observed low overpotential demonstrates good OER performance of the prepared CrVO4 nanoparticles.
Assessing the Reason for Choosing Dentistry as a Career: A Survey Among First-Year Dental College Students
Authors: Rn Arun Kishore , K Yuvaraj Babu , R Gayatri Devi
Published: April 2022

Career choice is a complex decision in our life. The opportunity to participate in dental education in many countries, especially in the developing ones, is limited to a small percentage of the community. Choosing dentistry as a career option may be due to various reasons, influences like economical status, financial status, social status, and many more. Students also try to make a career choice while studying itself. Meanwhile, choosing dentistry as a job should be accomplished with more precise considerations because changing this job is rarely possible. The changing nature of the dental workforce and the need to retain the services of future members has made it important to understand why current dental students have chosen dentistry as their career. However, the choice of dentistry becomes forceful at times by peer pressure, cultural thrust, or inability to procure medicine. Questions distributed through an online survey were answered by the participants and the results are collected and analyzed statistically. From the results obtained and analyzed the various reasons for choosing dentistry as a carrier was understood. The main reason for choosing dentistry as a career is because majority (42.97%) missed MBBS as their first career choice.
Ta2O5-Rgo Nanocomposite As Emerging Anode Material for Sodium Ion Storage Via Extrinsic Pseudo-Capacitive Red-Ox Process
Authors: Kn Manukumar , G Nagaraju , Sarkar Sujoy , D Manjunatha , Khosla Ajit , C Manjunatha
Published: April 2022

Ta2O5 nanoparticles (NPs) are an emerging conversion type anode material which store sodium ion via extrinsic pseudo-capacitance behaviour. Ionic liquid supported hydrothermal synthesis method was adopted to synthesise pure Ta2O5 NPs followed by hydrothermal route to prepare Ta2O5–reduced graphene oxide (Ta2O5-rGO) nanocomposite. Ta2O5–rGO composite possesses specific discharge capacity of 19 mAhg-1 after 500 cycles at a current rate of 0.1 C compared to bare Ta2O5 NPs where it shows 18 mAhg-1 @ 150 cycles. The stable electro-chemical performance of Ta2O5–rGO composite could be accessible by 2-D net work structure of graphene with excellent surface area and very low electrical resistivity enhances the electron and ion migration rate. Finally, the present study urges electrochemist to design and fabricate advance Ta2O5-rGO composites for sodium- ion battery applications.
Novel Design and Numerical Analysis of 3D Porous Electrodes for Micro-Supercapacitors
Authors: Nargatti Kiran I , Kumar Pratik , Achhodawala Bhavyang , Ahankari Sandeep S
Published: April 2022

Micro-supercapacitors (MSCs), a clean and sustainable energy storage device, possess remarkable characteristics such as high energy/power autonomy, high charge-discharge cycles, and fast charge-discharge rates, making them a promising candidate for miniaturized energy storage components. However, the major constraint of MSCs is their low energy density. As a result, researchers have been working extensively to enhance the energy density of MSCs. This work presents a novel three-dimensional (3D) porous interdigitated MSC electrodes with parallel cylindrical holes. The proposed and popular octet structures were designed and compared using finite element analysis under uniaxial tensile loading. The proposed structure demonstrated more than 70% higher surface area, and since these holes are continuous along the electrode length, there will be no resistance to the ion movements. Because of the design's simplicity, it will be possible to produce 3D MSC electrodes with a larger surface area using unconventional manufacturing methods. The proposed structure will significantly improve the energy and power density of 3D MSCs.
Innovative Approach for the Study of Tuning Circuit with Open Source Tools
Authors: S Shubha , BM Rajesh , DN Avadhani , T K Madhura
Published: April 2022

In the new age of an online teaching-learning process, present instructional approach expects students to be an active learner, which necessitates a new instructional tool that can provide opportunity for active learning. The use of technology in teaching-learning has become a key factor which helps in conceptual understanding. Simulation being one of the valuable instructional tools renders an opportunity to visualize the concepts and facilitate to build the mental model. The present work proposes a study of electrical circuit experiments performed using open source tools such as XCOS and expEYES. These tools facilitate in developing higher order critical thinking and analysis skill. XCOS being one of the tools in Scilab provides the visual simulation environment for varying the input parameters of the model. The RL, RC, and RLC tuning circuits are virtually modeled by using the XCOS and the real circuits made with expEYES, which facilitates the study of response curves with ease. In the later case, the results obtained by using expEYES compared with the results of XCOS. In addition, the study explains how such response of simple linear circuits can be extended in different applications. Demonstrations and visualization of the response curve and phase flow of linear circuits will overlay the way to understand experimental and numerical results. This innovative approach can be used in the classroom demonstration of a harmonic oscillator and resonant circuits in advance level physics and engineering laboratories.
The Choice Modelling Approach: A Review
Authors: Bashir Jasmeena , Equbal Sarafaraz , Raina Bisma
Published: April 2022

Among the set of stated preference methods, the Choice Experiments (CES) is now widely applied to diverse environmental goods where market failure exists. This method has found its success in resolving some methodological issues of Contingent Valuation Method (CVM). Choice experiment (CE) is the method which has greatest number of applications where people select the best favored substitute among the set of substitutes by simply ranking and the rating scales. Despite many limitations or methodological issues arising due to hypothetical nature of stated preference surveys, this method could be successfully applicable to a series of non-marketed properties with certainty to measure consumer preferences. The main aim of this study is to analyze the recent development of the CEs and its methodological issues. Besides this the review will also include background and theoretical basis of Choice Experiments.
Structural Characterization of Nanocomposites of NiO/H2O4Sn3 Prepared By Coprecipitation Method
Authors: Devi Preeti , Rohilla Sunil , Saini Jyoti , Patwa Rahul
Published: April 2022

This research project reports the synthesis of nanocomposites of NiO (Nickel oxide)/H2O4Sn3(Hydroromarchite), using the coprecipitation method. Chemicals like Nickel Chloride, Tin chloride, Cesium fluoride were used for the formation of the powder sample of NiO/H2O4Sn3. The Obtained crystals of NiO/H2O4Sn3 were carefully analyzed using X-Ray diffraction (XRD). The Size was estimated through the Deby Scherer formula and was found to be∼38nm. The detailed structural characterization of nanocomposites of NiO/H2O4Sn3 was done through Rietveld refinements using fullprof software. An XRD finding suggests that NiO is cubic in shape with space group number 225. The Hermann-Mauguin symbol is Fm-3m. The Laue class value and point group are m-3m. The cell parameters obtained for NiO are: a= b= c= 4.176, while α = β= γ =90̊. The volume of the crystal is = 72.85 Å. Reciprocal cell parameters a*= b*=c*=0.2394, α*= β*= γ*= 90̊ and volume for reciprocal lattice is 0.01372. XRD studies for Hydroromarchite found that it has a tetragonal type of structure having a space group (114), the Hermann-Mauguin symbol is P-421C, the Laue class value and Point group value is 421 c. The obtained cell parameters are a= 7.920, b= 7.920, c= 9.104, and α = 90̊, β= 90̊, γ = 90̊. The volume of the crystal is = 571.03 Å. The data of reciprocal cell parameters were a*=0.1262, b*=0.1262, c*=0.1098 and α*=90̊, β*=90̊, γ*=90̊ and the value of reciprocal cell volume=0.00175 Å. Some applications of NiO and its composites in various fields are also summarized.
eHED2SDG: A Framework Towards Sustainable Professionalism and Attaining SDG Through Online Holistic Education in Indian Higher Education
Authors: Goswami Mausumi , Krishnan Balachandran
Published: April 2022

To enable sustainable development of society it is essential to train the leaders and professionals of tomorrow. Developing a sustainable society and holistically developed future for budding professional is a significant objective of higher education Institutions. Every professional course learner is expected to utilize his skills, knowledge, and time to contribute towards the development of society. Fostering sustainability in various domains of development is a requirement for Sustainable Development Goals (SDG). This research is inspired by multiple mental health related problems among professionals, inability to cope up with stress, quick dissatisfaction and frustrations, suicide, poor happiness quotient measured through multiple psychological tests, and many other negative mental status which have paved the path for more serious approaches towards holistic development of young professions. This research addresses the SDG goal 4, Quality Education directly. Indirectly it can work as a catalyst to ignite the interest and create awareness about all the sustainable development goals.
COVID-19 and Death: The Never Ending Grief
Authors: Gurbani Neha , Paunikar Swapnil , Mohurle Devyani , Dhyani Dr. Abhilasha
Published: April 2022

COVID-19 has already killed more than two million people in the world. The pandemic had a deep impact on the emotional, social, and spiritual life of the public. Due to lockdown, self isolation, and quarantine protocols, hospital and health care facilities are closed to visitors due to which family members are unable to be with their closed ones in their final moments. Some are not able to see them personally, some are not able to bid goodbye to their loved ones, some cannot attend the funeral rights, and some cannot perform the final mourning rituals. Investigators are concerned that the coronavirus pandemic will give rise to serious and prolonged sorrow disorder. Death circumstances during COVID-19 pandemic (no moral or family support, or limited chances for death customs) can also gain the grief process, yet no research has specially label this issue. This article is all about the complicated process of death, dying, and grief and ways to learn dealing with the loss caused by the COVID-19 pandemic. Objective: To examine if severity of grief and sorrow was higher before or during the COVID-19 pandemic. Method: A survey that included questions on socio demographic and the terms related to loss quiz and a sorrow measure was managed in a group of 1,700 distressed persons, who took part previously or throughout this pandemic, including adults who have lost their closed ones before the pandemic or during the pandemic.
Composite NiFe2O4 Catalyst for Sodium Borohydride Hydrolysis
Authors: Lesik Serhii , Ivanenko Iryna
Published: April 2022

Nickel ferrites composite catalysts with the spinel structure were synthesized by the coprecipitation method. Nickel ferrites were deposed on the surface of industrial active carbon. The temperature of final calcination in inert media was 400, 500, and 600°C. The trevorite phase was determined by XR-diffraction; the ratio of Ni to Fe was checked by luminescent analysis, it consisted ~0.61. Crystallites sizes varied in the range from 218 to 252 nm and decreased with an increase in the calcination temperature. It was found that the rate of hydrogen evolution in the reaction of sodium borohydride hydrolysis increases with the reaction temperature increasing; catalysts obtained at lower calcination temperatures showed higher catalytic activity. The maximum Hydrogen Generation Rate (2181 ml×min-1×g-1) was observed for nickel ferrite deposited on the active carbon and calcined at a temperature 400oC; the activation energy of the reaction in the presence of this composite ferrite consisted ~50 kJ×mol-1.
Continuous Wave Radar System Simulator Using MATLAB/Simulink
Authors: Kambale Jayshree Das , Pasha I A , Deshpande Ramesh
Published: April 2022

MATLAB/Simulink was come across as a software platform, communication system tool box, RF tool box, and signal processing tool box were utilized for the design of Continuous Wave (CW) radar system and measured the signal power and processing gain of the system. Linear and non-linear transmitter and receiver systems considered for the study of the CW radar. CW radar system and its mathematical model built using MATLAB/Simulink. In the simulation model, core components of CW radar, including pulse width generator, linear and non-linear RF transmitter and receiver, antenna model, digital filter, and novel overlap add approach designed and simulated. In the classical technique, huge computation is required to extract the information from the target. CW radar is simple and straight forward technique motivate to use is the main contribution of this research work. A novel overlap add filter method is used and simulated. The performance of the designed CW radar system, modeled structure, and analysis of results given for the linear and non-linear transmitter and receiver. The performance of CW radar system in various conditions could be evaluated to find the different parameters, such as path loss, transmitter power, and receiver power in the presence and absence of phase noise.
Enhanced Model for Retinal Blood Vessel Segmentation from Fundus Images Using Wavelets
Authors: Dikkala Udayini , Mosiganti Kezia Joseph , Alagirisamy Mukil
Published: April 2022

The retinal vasculature structure determines a patient’s health condition. Processes to adequately segment the structure from the fundus images currently do not always produce the best results. Attempt is made to present an effective approach to retinal blood vessel segmentation. There is a high requirement of efficient process for ophthalmologists for early detection of diseases. The output of the segmentation process can be utilized for biometric identification, initial screening of patients, and automatic surgical evaluation. A wavelet-based enhancement technique for this process of blood vessel segmentation is presented to obtain more precise results compared to the existing methods. The average accuracy of the process accomplished for the segmentation is close to 97% with a lower time complexity. Publicly available color retinal image database (DRIVE) is used for the comparative study.
Role of Tulsi to Boost Immunity in COVID-19
Authors: Ugemuge Dr. Pratiksha , Paunikar Swapnil
Published: April 2022

Many people in the world suffered, are suffering, and will be suffering from COVID-19 in all aspects by its fatal consequences for a long time. A lot of people died due to COVID-19, a lot of people lost their jobs and business and become unemployed. In the situation of the lockdown, people are troubled. As normal life started after a long period of time. Again a new strain of COVID-19 was introduced into the community. In the world, many preventive measures have been taken to fight against the COVID-19 pandemic. People used masks, hand washing, and social distancing. But for how many days will a person suffer disease and its fear? There is an imbalance in the environment and its parameters called Panchatatwa (Pruthvi, Aap, Tej, Vayu, and Aakash). Something fatal will happen like an earthquake, tsunami, or pandemic because it’s a law of nature. Ultimately, human beings on earth get disturbed in all dimensions of health, whether it is physically, socially, mentally, or vocationally.
Fabrication of Computationally Designed Cathode Material for a High-Performance Na-Ion Battery
Authors: Mahmud Md. Anas , Kumer Ajoy , Chakma Unesco , Howlader Debashis , Hoque Khondaker Afrina , Chowdury Al-Nakib
Published: April 2022

Sodium containing vanadium-based halophosphates {Na3V2(PO4)2X3, where X= F, Cl, Br, and I were chosen to use as cathode materials with a purpose to construct the high-performance Na-ion battery. Initially, cathode materials, Na3V2(PO2)4F3, Na3V2(PO2)4Cl3, Na3V2(PO2)4Br3, and Na3V2(PO2)4I3 were analyzed for the primary screening of electronic band structure and structural geometry through the first principle method GGA with PBE functional and bandgap of 0.00 eV was obtained for all cathode materials. Again, the DOS and PDOS were assessed to show how all atoms contribute to the conduction band (CB) and the valance band (VB), which disclosed that the major contribution comes from p orbital for VB whereas both p and d orbitals highly contribute to the CB. Investigation on their optical properties, such as optical reflectivity, optical absorption, refractive index, dielectric function, conductivity, and loss function, resulted in similar nature for all the materials. Finally, the reactivity descriptors viz. ionization potential (IP), electron affinity (EA), chemical potential (μ), hardness (ȵ), softness (S), electrophilicity, and electronegativity (χ) have been calculated from the energies of frontier molecular orbital’s (HOMO-LUMO energy values).
Architecture for Evaluating Customer Retention Strategies
Authors: . Abdurrahman , Agarwal Chitrang , Ramasamy Lokeshkumar
Published: April 2022

The modernizing world with increasing technological developments and the everyday generation of the new innovative strategies has created a competitive era. The advancement of technology, implementation of advanced solutions, and strategies attract many customers, which results in changing market and business. With this Digital Darwinism, organizations face a major pitfall known as Customer Attrition. Addressing this problem is the need of the hour for every organization aiming to increase customer loyalty and its revenue. Understanding the business ecosystem and coming up with a strategy that strengthens the roots of the firm and increasing their customer lifetime is an approach, but the question arises that how good is your strategy when it comes to the comparison with the competitors in the market. The architecture proposed in this paper evaluates business strategy using customer segmentation and customer lifetime value prediction, churn prediction, uplift modelling, and survival analysis.