bluuebunny/crossref_metadata_2025 huggingface dataset:
Post COVID-19 Perception of Students About Online Education
Authors: Manocha Sanjay , Saini Pankaj
Published: April 2022

COVID-19 has influenced the way people work, study, and live. Online education has gone under paradigm shift during pandemic times. The focus of research has been to find out factors of perception of students about online education which is a critical component for a sustainable development goal. Exploratory and descriptive research design has been used to find out factors of online education post COVID-19 with a sample size of 238 respondents in the Delhi and NCR region with online survey using Likert scale. The perception of students about online education can be understood through following significant factors such as convenience and useful technical features, easy access and learning retention, cost effective multiple tasking platform, role of instructor, and engagements. Scope is limited to education sector focuses primarily of North India only. The cross-sectional manner of online data collection prevents the tracking of changes in the perception of students over time.
Creating Knowledge Pool of Tribal Eco-Culture: An Instrument for Ecological Restoration
Authors: Bhattacharya Souren , Pal Subhasree
Published: April 2022

Ecological imbalance is now a global concern for the last few decades. It’s a multi-facet problem that includes climate change, loss of biodiversity, the decline in food production, and decline in quality of soil, air, and water. The UN adopted ‘The 2030 Agenda for Sustainable Development,' where it has set up 17 goals as the instruments for attaining sustainable development. It is an inclusive and integrated developmental approach. So, every stakeholder of the society should be incorporated to attain the goal of sustainable development. Unfortunately, the tribal communities, the men of nature, are the most neglected ones in the planning process. This research paper prospecting the possibilities that how pooling the tribal ecological knowledge from different tribal communities and infusing those in modern scientific knowledge for the production of new knowledge can be instrumental in attaining the goals of sustainable development.
The Inhibition Activity of Natural Products Against Host and Viral Proteins Of SARS-Cov-2: Computational Perspective
Authors: Palanisamy Kandhan , Esther Rubavathy S. M. , Priyankha S. , Prakash Muthuramalingam
Published: April 2022

The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has disseminated worldwide, decimating millions of people. The number of illnesses and deaths will rise exponentially since there are no viable medications. Especially, with the complex mutations spreading worldwide, the design and development of effective drugs are much needed. Herein, to understand the molecular interactions and mode of binding, 100 natural compounds were tested against Main protease (Mpro), Receptor Binding Domain (RBD) of SARS-CoV-2, and human Angiotensin-converting enzyme 2 (hACE2) using molecular docking. Molecular dynamics simulations were conducted for a period of 100 ns for the best 3 compounds with each target to validate the stability of the complexes. RMSD, RMSF, and Rg analyses were performed to determine the structure and stability of protein-ligand complexes. Further, binding free energy calculations were performed using MM/PBSA approach to identify the effective antiviral agents. Our results will render the potent inhibitors of SARS-Cov-2.
Experimental Investigation on Production, Mechanical Properties, and Behaviour of GPC at Elevated Temperature
Authors: Chikkur Shridevi Holeppa , Mourougane R
Published: April 2022

In the current study, concrete of M60 grade is used for both Normal Concrete (NC) and Geopolymer Concrete (GPC). Optimum mix design values for GPC are obtained by trial and error method as per Rangan’s method. Concrete specimens, such as cube, cylinder, and prism, are casted as per optimum mix design values and are tested for mechanical properties namely compressive strength, flexural strength, and split tensile strength at the age of 7, 14, and 28 days. Comparative analysis of NC and GPC is done for aforementioned strength test results. Later behaviour of GPC is checked at elevated temperatures of 200°C, 300°C, and 400°C. From the results, it is observed that GPC performed well in terms of all mechanical properties compared to NC. An overall observation confirms that GPC performed better at higher temperatures. Thus, it is effectively proved that GPC is best alternative to NC.
Performance Analysis of Stand-Alone Photovoltaic System Using PVsyst
Authors: Bhuvaneswari Bhuvaneswari , D Susitra , Memala W.Abitha
Published: April 2022

Solar energy production has become very competitive. The different types of photovoltaic systems include a grid connected system, a stand-alone system, and the hybrid system. Software like PVsyst, PVSOL, HOMER Pro, SOLARGIS, System Advisor Model (SAM), and Solar Pro have emerged and enable us to design a photovoltaic system, energy production, energy consumption, energy utilizations, analysis of cost, etc. for any specific application. The above-said analysis can be made on an hourly basis, monthly basis, component-wise, etc. This work focuses on simulation of a stand-alone photovoltaic system with PVsyst software (PVsyst 7.2) on a small geographical location at Madipakkam, Chennai in Tamil Nādu, India. PVsyst is a software which assists us in designing and analyzing various photovoltaic systems like grid connected, stand-alone, and pumping applications. The project can be simulated with detailed hourly consumption and economic valuation. Meteo databases and component databases listed by the manufacturers can also be utilized.
A Review on Flame Retardants Used in Polyurethane Foam
Authors: Soni Daxit Bharatbhai , Bhatt Gnanu
Published: April 2022

The present review summarizes the research work about different flame retardants used for polyurethane foam along with NBC (National Building Codes) and standards. With growing market of polyurethane foam, properties such as flame spread index, smoke release, and nature of fumes generated during and after catching the fire is of great importance and other properties, i.e., compression strength, tensile strength, hardness, elongation at break, etc. These will differ as type and loading of flame retardants used during formulation will vary.
Optimization of Growth Parameters of Thermal Chemical Vapor Deposition Method for 2D MoS2 Synthesis
Authors: Arora Anmol , Sharma Kriti , Tripathi S.K.
Published: April 2022

Even after a decade of research on MoS2, it is still quite challenging to obtain high quality MoS2 films using a controlled synthesis technique. Out of all the available methods chemical vapor deposition (CVD) has proven to be a reliable technique to produce MoS2 thin films. The CVD growth process is sensitive to variety of parameters involved in the process. In the present work, we report the effect of pressure, temperature, gas flow, and position of substrate on the growth of MoS2 films. After several failures, the technique is optimized to synthesize high quality MoS2 films on quartz substrate. Further, the films are characterized using XRD, UV-Vis Spectroscopy, Photoluminescence Spectroscopy and Raman Spectroscopy. The main objective of this work is to formulate a method that produces MoS2 films using thermal CVD process by optimizing various parameters.
Pyridopyrimidines as Anticancer Agents
Authors: Yadav Pratibha , Shah Kamal
Published: April 2022

The main purpose of this review is to provide an overview of the current knowledge for development of new molecules of pyridopyrimidines by using different multi-component reactions that lead to give effective anticancer agents. Thus, the developed compounds have been derived from pyridine and pyrimidines fusion or from possible isomeric forms of pyridopyrimidine derivatives. They are obtained from different approaches of multistep synthesis reaction such as Tandemaza-witting reaction, annulations, and Biginelli type reactions. Apart from the synthetic schemes, their biological applications with an alternative mechanism of action, such as growth inhibitors by cell cycle arrest, apoptosis, inhibition of angiogenesis, disruption of cell migration, and mutation, are also understood. These receptors and enzymes are responsible for causes of cancer because disruptions of dihydrofolate reductase, tyrosine kinase, cyclin-dependent kinase-4 and 6, and fibroblast growth factor receptor. Among heterocyclic compounds, pyridopyrimidine compounds are privileged structure in medicinal chemistry, especially with FGFR-TK, CDK-4, ABCG-2, Ef-2 kinase, and Type-II pan-RAF kinase inhibitors (Figure 1). The present review illustrates that pyridopyrimidines have been developed by using new strategies and may be utilized for treatment of various cancer.
Thermal Diffusivity Measurement of MoS2 & MoS2-GO Nano-Composite By Photoacoustic Spectroscopy
Authors: Sarkar Minarul I. , Kumar Kaushal
Published: April 2022

Photoacoustic spectrometer (PAS) is a significant technique to measure the thermal diffusivity of any material. When modulated light interact with solid sample which is covered by aluminium or other metal plate, first the light is absorbed by the sample and then thermal energy emitted due to non-radiative decay. Thereafter, acoustic wave produced due to different temperature which maintain by an optical chopper. The medium inside the cavity expands or retract according to the chopper frequency. So, the generated pressure fluctuation inside it measures by using a sensitive condenser microphone which fitted inside the cavity by a narrow path. Here the authors successfully synthesized molybdenum disulfide (MoS2) and its nanocomposite with graphene oxide (MoS2-GO) by simple hydrothermal method. The XRD and FESEM data confirm the phase and morphological structures of the synthesized material. The thermal diffusivity of MoS2 and MoS2-GO nanocomposite are obtained 10.94 mm2/s and 14.72 mm2/s respectively.
Synthesis of Nickel Cobalt Oxide - Reduced Graphene Oxide Nanocomposite Using Ammonia for Supercapacitor
Authors: Siwatch Poonam , Sharma Kriti , Manyani Nirmal , Tripathi S.K.
Published: April 2022

In this work, we have prepared a nanocomposite of NiCo2O4 and reduced graphene oxide (NC-RGO) by the hydrothermal synthesis technique using ammonia as the reducing agent. We have used ammonia solution as the reducing agent for GO reduction in aqueous solvent as it is more environmentally friendly in comparison to hydrazine hydrate or other poisonous reducing agents. Thermo-gravimetric analysis of the prepared precursor has been done to find the decomposition temperature. X-ray diffraction has been done to verify the phases present in the material. The optical properties have also been studied by UV-Vis and Photoluminescence spectroscopy. The electrochemical behaviour has been studied by cyclic voltammetry and galvanostatic charge-discharge curves in two electrolytic solutions (1 M Na2SO4 and 1 M KOH aqueous solutions). It has been observed that a higher value of energy density has been obtained in 1 M Na2SO4 aqueous electrolytic solution than in 1 M KOH aqueous solution.The Work presented in this article is related to sustainable development goals (SDGs) to transform our world regarding affordable and clean energy.
Object Detection for the Blind Using Haptic Technology
Authors: Rajagopal Sivakumar , Samundeeswari Nitikaa , Srivastava Artika , Mandal Milan
Published: April 2022

Blind people face many difficulties in obtaining information, communication, and mobility in almost every aspect of their lives. In this project we have developed a low-cost visual aid program called the Haptic Obstacle Detector (HOD) that helps them avoid head-on barriers. Experiments have shown that HOD is able to see complex objects like glass. The thesis project aims to build an accurate and affordable device that helps blind people avoid obstacles around the head area. The device is called a Haptic Obstacle Detector (HOD). The HOD uses an infrared sensor and an ultrasonic sensor to measure the distance between a user and an object within a range of 3m. The results suggest that the Haptic Object Detector is easy to use and shows a promising concept to help the visually impaired avoid obstacles.
Green Orientation and Customer-Based Brand Equity in FMCG Industry in India
Authors: Purba Japneet Kaur , Khadir Fezeena
Published: April 2022

In recent years, the idea of green-oriented approach gained traction in both academic research as well as corporate research. Companies are now able to identify the long-term benefits of being responsible towards the environment. This paper attempted to understand the relationship between green-orientation of a brand, antecedents of customer based brand equity, namely of Aaker’s Model with respect to the FMCG Industry in India. Data was collected from 207 FMCG product consumers from India above the age of 18. Person’s correlation coefficient and Multiple Linear Regression were calculated to ascertain the relationship between green orientation and the antecedents of CBBE. It was found that brand loyalty was the most significant on CBBE, whereas brand association was the least. The results of this research would be helpful for the brands to take decisions accordingly as it may act as an incentive to be more innovative towards sustainable ways of operating.
“Digital Banking Innovations Improving Financial Access for Agribusiness Sector in Emerging Economies”
Authors: Jaiswal Ratnakar , Seth Vinay , Kasera Mahi
Published: April 2022

Abstract:- The area of digital banking has been characterized and marked by continuous innovation, which in turn has resulted in the overall development of the agribusiness sector, including digitalizing business transactions, better cash-flow management, and a more efficient payment system; as well as non-financial needs such as input-cost mitigation, access to cheap quality labor and a business-friendly climate. The dawn of the digital era has opened an unprecedented opportunity for the agribusiness sector to access collateral-free loans from fintech companies based on the track record of their digital payments. However, to capitalize on this opportunity, the agribusiness sector needs to digitalize their operations and make all its business transactions digital. This will require concerted efforts by the government, financial sector regulators, and industry bodies to handhold local agribusiness SMEs in embracing digital technologies.
A Novel Machine Learning Approach for Forgery Detection and Verification in Digital Image
Authors: Parashar Amrita , Upadhyay Dr. Arvind Kumar , Gupta Dr. Kamlesh
Published: April 2022

Image manipulation can cause many ethical, economical, and political issues for everyone. It can be used to create fake information, fake ids, fake online profiles, fake news. A proper technique for image detection and verification is thus, a hot research area, which helps the affected people to overcome the forgery attacks. Due to the increased interaction among people through social networking sites, image forgery is prevalent and it is an essential activity to detect any forged image. This paper’s main objective is to identify fraud or tampered images effectively. By using the methods of copy move forgery detection, the obtained results are more accurate in a minimum time as compared to previous algorithms.
A Paradigm Shift in Oncology and Its Treatment: A Review
Authors: Vijaykumar Prutha , Be Rangaswamy , Manokaran Sumathra , Reddy Manjunatha
Published: April 2022

The present standard therapies for cancer, surgery, anti-cancer drugs, and radiotherapy, have major issues in advanced cancers especially. It is unlikely that they will cure the disease permanently. They require huge medical expenditure and the adverse side effects accompanying them put many patients in anguish. These problems may be considered as a result of initiating treatments without considering the root cause of cancer: "the change in energy metabolism." Tumor cells have unique metabolic characteristics, and henceforth cancer can be treated as a metabolic disease and be interfered at different stages of cell metabolism. Cancer, also being characterized by an immunological imbalance, focusing on targeting, involving, and regulating cancer-associated immune cells in the tumor microenvironment (TME) with nanomedicines can potentially become a great tool to stop cancer. Stem cells and mAbs have the capability to come handy in targeting the immune system, which demands more clinical research to be done.
Binder-Free MnO2 Electrodes for Supercapacitor Applications
Authors: Saini Sunaina , Joshi Aman , Chand Prakash
Published: April 2022

The binder-free MnO2 electrodes are fabricated using the electro-deposition method. X-ray diffraction spectra of the obtained electrodes verified the generation of a pure tetragonal phase of MnO2 without any impurity peak. Further, the morphology of the fabricated electrode is explored by Scanning Electron Microscope, which confirmed the formation of platelets when the deposition time is small, while the flakes are formed as the deposition time is increased. Electrochemical performances for all three fabricated MnO2 electrodes are also conducted in the three-electrode system using the techniques like Cyclic Voltammetry, Galvanostatic Charge Discharge, and Electrochemical Impedance Spectroscopy. The maximum specific capacitance of 531.6 F/g at 0.5 A/g is achieved in the KNO3 electrolyte for the electrode with 15 minutes of deposition time, while the high rate capability is maintained for the electrode with a deposition time of 10 minutes. Therefore, based on the electrochemical performance, fabricated MnO2 electrodes are suitable for supercapacitor applications.
Drone Operated Bidirectional Wireless Charging System for Energy Constrained Devices in Smart Farming Applications
Authors: Chittoor Prithvi Krishna , C Bharatiraja
Published: April 2022

The new age of technology has revolutionized the way the agriculture sector functions. Smart machines are gradually captivating primitive farming techniques and aid in increasing the quality and yield of crops. The implementation of Energy Constrained Devices (ECDs) into the agricultural sector has grabbed the curiosity of many researchers and has opened up opportunities for autonomous monitoring of soil-crop’s health. This research benefits the agricultural sector in providing top quality yield at minimal human resources and uses smart machinery, such as drones to monitor the progress on the field. This study aids in implementing the use of ECDs for collecting field data, such as moisture content, temperature, mineral requirements, etc. at a given area. The key challenge in this research is to identify the ECDs that needs to be charged and to find the shortest path between the home position and the ECDs for the drone to fly and charge the required ECDs. The proposed algorithm modifies the Dijkstra’s algorithm and prioritizes the ECDs in the order to be charged and plan a path accordingly.
A Comparative Study of Experimental and Theoretical Structural Analysis of Lithium Doped Nickel Oxide Nanoparticles
Authors: Anupama  , Saini Monika , Swati  , Shukla Rajni
Published: April 2022

Li(x)Ni(1-x)O (x = 0.01, 0.02 and 0.03) samples were synthesized via sol-gel process. Powder X-ray diffraction technique was used for the analysis of crystallite properties. The mean crystallite size using Scherrer’s Method has been found to be 21.66 nm, 20.09 nm, and 19.25 nm for Li(x)Ni(1-x)O (x = 0.01, 0.02 and 0.03) respectively, which is a rough estimate. To inspect the impact of strain induced in Li(x)Ni(1-x)O further analysis has been done. Willamson Hall Plot-Uniform Deformation Model (WH-UDM), Size-Strain (SSP), and Halder-Wagner Plot (H-W) Models were applied to determine physical and microstructural parameters, i.e. crystallite size and lattice strain of Li(x)Ni(1-x)O using X-ray powder diffraction analysis. The morphology of Li(x)Ni(1-x)O has been analyzed by High-Resolution Transmission Electron Microscope (HRTEM). The outcomes of estimated mean crystallite size determined by Scherrer’s Method, WH-UDM Plot, SSP, and W-H models were compared with morphologically investigated crystallite size via TEM analysis.
Energy Optimization Using Hybrid CAT-Dolphin Clustering Algorithm in Comparison with Channel Aware Routing Protocol
Authors: Manasa Pokala , M. Ayyadurai
Published: April 2022

The aim of the proposed work is to design energy optimization routing protocol to improve the energy efficiency and packet delivery ratio in Underwater Acoustic Sensor Networks (UWASN) using hybrid CAT-Dolphin Clustering Algorithm (CDA) in comparison with the Channel Aware Routing (CAR) protocol. Materials and methods: The routing performance of hybrid CDA is compared with traditional channel aware routing using Network Simulator (NS2 2.35) in randomly deployed underwater acoustic sensor simulation environment by aqua-sim. Results: The performance of proposed hybrid CDA reduces the energy consumption (9%) and delay (7%). Statistical analysis shows that significant value of energy (P=0.002; P<0.05) and delay (P=0.003; P<0.05) Conclusion: Within the limits of this study, hybrid CDA with fast convergence achieves good routing performance metrics in comparison with channel aware routing.
Effect of Hospitals Specialization and Severity of Disease on Bio-Medical Waste Generation? A COVID-19 Study of Hospitals
Authors: Mukherjee Mukta , Kumar Sunil
Published: April 2022

In this study, using publicly available panel data on bio-medical waste from all the Apollo-Hospitals in Chennai, we try to explore the effect of COVID-19 pandemic on four categories (clinical, infectious, sharp, and bottle waste) waste generation. The entire sample study is categorized into pre-lockdown (no-suspension on activities) and lockdown period (all activities were suspended), as was declared in India by the government in 2020. Using a fixed effect model technique and COVID-19 active treatment cases in the district where the hospital is located, we find significant effect of severity of COVID-19 on hospital’s wastes generation. Severity of COVID-19 in the districts increases the proportion of infectious waste generation, but reduces the proportion of sharp and bottle waste generation to the total waste. The results indicate the huge increase in the bio-medical waste generation during the post COVID-19 era is a result of infectious waste and is generated from some few hospitals with specialty treatment like childcare and cancer. Ignoring these features can lead to upward bias in the estimation.
Creative Use of Industrial Waste Into Fashion Products Through Fabric Manipulation Using Origami Technique
Authors: Joshi Mohika
Published: April 2022

A type of systematic fold made from the fragile medium of paper could be translated to something wearable and durable in fashion is certainly attractive and innovative. Its special characteristic to make three-dimensional shapes from two-dimensional patterns is very fascinating and interesting to make. Fabric waste is the big problem of today and fabric manipulation through systematic folding is the best way to use it. The paper reveals the potential of the fabrics, which could be manipulated using fabric origami and processes of innovative designs for developing fashion product. The study also emphasizes on the reasons why origami was not seen much in the designer’s collection through SWOT analysis. Comprehensive study of industrial waste to convert into useful sustainable fashion product through intervention and exploration into products like accessories and home furnishing is discussed. This expedition will provide an extraordinarily functional yet aesthetical prospect to reach to global market.
Financial Leverage and Firm Performance: Empirical Evidence from Indian Manufacturing Firm
Authors: Gaurav Kumar , Agrawal Vijay
Published: April 2022

The impact of capital structure or financial leverage on business financial performance is investigated in this research. A sample size of 92 listed Indian manufacturing companies on the Bombay Stock Exchange (BSE) was used. The ten-year period from 2008 to 2019 was considered, as well as annual financial standalone data.
Atom-Bond Connectivity Index in Various Graphs
Authors: Abirami M , Ganesh Y.J , Kalaivani K
Published: April 2022

A topological index, furthermore identified by way of connective index, is a molecular construction descriptor intended from a molecular graph of a chemical composite, which symbolizes its topology. Different topological indices remain branded established on their degree, spectrum, and distance. Here we investigation on we designed and analyzed the degree oriented topological directories, such as atom-bond connectivity index. Further investigated the index in regular graph, complete graph, complete bipartite graph, union of graphs, and join of graphs are derived. Further explain the theorem by examples.
Compact Dual Bandstop Filter Using Folded Lines and Genetic Algorithm
Authors: Goyal Shally , Kushwah Dr. Vivek Singh , Thakre Dr. Vandana Vikas
Published: April 2022

A novel method for creating a dual band bandstop filter with a meandering architecture is presented. Proposed bandstop filter shows two notch bands, one at 5.6 to 7.2 GHz and the other at 8 to 11 GHz. The designed filters simulated on HFSS software and fabricated on FR-4 substrates, filter dimensions have been optimized using GA. Filter shows S11 of 1dB and S21 of -18 dB at notch frequency 6.4 GHz and S11 of 1.2dB and S21 of -38 dB at notch frequency 9 GHz. The suggested filter has two pass bands one is up to 5 GHz for wireless communication and another is from 7.4 to 7.9 GHz for C band applications.
HPMC Based Gastro Retentive Drug Delivery System of Effervescent Guifenesine Tablet for Dry Cough
Authors: Waghmare Suchita Gulabrao , Khedekar Pramod B. , Aate Jayshree R.
Published: April 2022

Recent advances in Novel Drug Delivery System is aim to enhance safety and efficacy of drug molecule by formulating a convenient dosage form for administration and to achieve better patient compliance. The controlled release drug delivery systems owning the capacity to be engaged in the stomach remains entitled as Gastro Retentive Drug Delivery Systems. One of the novel approaches for better patient compliance is floating drug delivery. Number of Gastro Retentive dosage forms has been designed to prolong gastric residence time. We are trying to overcome less gastric retention time and trying to reduce the dosing frequency. Gastroretentive systems can remain in the gastric region for several hours and hence significantly prolong the gastric residence time of drugs. Present study involves preparation of floating tablet of Guaifenesin with HPMC K10 and K15M floating tablet were designed to achieve the extended release or retention in GIT, which may result enhance in absorption and leads to increase in bioavaibility. The aim of the present work is to develop safe, effective HPMC based gastro retentive drug delivery system of effervescent Guaifenesin tablet for dry cough with extended release profile.
Deep Learning-Based Face Hallucination: A Survey
Authors: S Savitha , M Pounambal
Published: April 2022

There are various real world applications that make use of the facial images obtained from cameras, but these images often carry several disturbances with it and such images are commonly referred as low- resolution images. These images show major impact on various face image related applications. To make use of such low-resolution images, there are many face hallucination methods developed. The existing face hallucination methods can be classified into two types: reconstruction- and learning-based. Learning-based methods have achieved better performance on various applications. The most commonly used learning-based method is using position-patch. In recent times, based face hallucination methods are also shown much more importance. Hence this survey mainly focuses on various position-patch and Convolution Neural Network based methods and their outcomes in brief. Along with this, it also presents some research directions for further improvements on face hallucination.
In-Silico Identification of Ideal Therapeutic Drug Targets and Characterization of Hypothetical Proteins from Trichophyton Verrucosum
Authors: Gaur Nishant , Parvez Nayyar , Nagpal Kalpana
Published: April 2022

Dermatophytosis is a potentially deadly fungal infection of the skin that can have major effects on both the patient's quality of life and the economy. The present work presents a computationally based in-silico approach for annotation of Trichophyton verrucosum hypothetical proteins and their potential therapeutic targets. Trichophyton verrucosum is a zoophilic dermatophyte fungus found worldwide. In rural areas, the fungus T. verrucosum is a common cause of human ringworm, which may be passed on either directly or indirectly from cattle to humans. There has been a significant rise in gene products due to genome sequencing projects, including Hypothetical Proteins (HP) with uncertain functions. Exploring and characterizing the actions of HPs is important in T.verrucosum, a dangerous fungus that causes disease in animals and can be transmitted to people. Many pipelines and web servers that incorporate multiple technologies are made accessible to achieve genome-wide identification of effector proteins. We have performed an NCBI search for hypothetical proteins identification. NCBI-CD and NCBI protein blast is used to identify the conserved domains and non-homologus proteins. The present research strategy will aid in structure prediction of different proteins, the discovery of binding sites, and drug design, allowing for a more in-depth examination of these proteins in wet laboratory experiments and helping in therapeutic development against T. verrucosum. In today's world, HPs might be a viable target for treating diseases linked to antibiotic resistance and drug resistance. This research of drug designing on hypothetical proteins will help farmers and animals to prevent from fungal disease.
The Role of Influencer Marketing on Consumer Buying Decision
Authors: Satpathy Abhilash , Samal Ansuman , Madhavi Kilaru , Agrawal Raju
Published: April 2022

The purpose of this research is to identify how influencer marketing can influence buying behavior of the consumers. To find out the same, primary data collection method was followed in this research work. Sample size was 66 however, 50 complete responses were received. From the responses it was found that most some participants directly buy products recommended by influencers while most of them check reviews about that product before buying it. Some consumers compare recommended products with other products before buying and some consumers check the price before buying. Therefore, from this information it can be concluded that influencers can positively influence buying behavior of the consumers. However, several factors affect this. For example, higher number of followers ensures that an influencer influences consumer. However, if influencers are paid for product promotion, then it cannot influence consumer buying behavior. On the other hand, area of expertise of the influencers also plays a major role in influencing buying behavior of the consumers. Besides, if an influencer is from a same country with the followers, then the influencers can easily influence their buying behavior.Keywords: Influencer marketing, consumer buying behavior, consumer-buying process, buying behavior of followers
Generalized Intuitionistic Fuzzy b-Metric Space
Authors: Sewani Godavari , Singh A.D. , Singh Ruchi , Bhardwaj Ramakant
Published: April 2022

In b-IFMS, the script consists of varied fixed point (FP) generalized results. It's a dominating outcome where an appropriate condition for a real sequence conferred to be cauchy within. Afterwards, results have been interpreted by way of manifold FP theorems in this pre-defined space with the exceptional contraction circumstances.
High Spin Study of 104Ag Nucleus
Authors: Katre Kaushik , Rao P. V. Madhusudhan , Suryanarayana K. , Tejaswi A. , Raju M. Kumar , Raju M.Ratna , Lakshmi D. Vijayal , Reddy T. S. , Matta J. , Ayangeakaa A.D. , Garg U. , Raut R. , Ghugre S.S. , Palit R. , Chakraborty S. , Muralithar S. , Singh R.P.
Published: April 2022

High spin states in 104Ag were populated via heavy-ion (32S) induced fusion evaporation reaction at a beam energy of 110 MeV. The de-exciting γ-rays were detected by 18 Compton suppressed HPGe clover detectors, placed in different (θ, φ) angles. Spin of several excited states were assigned firmly from the present angular correlation measurement.
The Role of Human Resource Management Department in Employee Retention
Authors: Mohite Sagar , T S Poornachandrika , Akbarali Sibi , Naidu Rekha
Published: April 2022

This research paper had the intention of identifying how HRM plays a major role in ensuring employee retention in an organization. While doing that, this research has initially analyzed the concept of Maslow’s hierarchy of needs and has presented several different activities performed by the HRM department. After that, in the data analysis section, it was found that every activity performed by HRM department fulfills one or more factors or stages from Maslow’s hierarchy of needs such as esteem needs, love-belongingness needs, self-actualization needs, safety-security needs and physiological needs. By fulfilling these needs, HRM department triggers employee motivation and job satisfaction that in turn ensures employee retention. Keywords: Maslow’s hierarchy of needs, human resource management activities
DFT Study of ScP and AlP in B1, B2, and B3 Phases at Ambient Pressure
Authors: Dholpuria Rohilla , Rani Anita , Kumar Ranjan
Published: April 2022

Structural, electronic, elastic, and dynamic characteristics of scandium phosphide and aluminium phosphide compounds are studied theoretically. The study has been performed for rock salt (B1), CsCl (B2), and zinc blend (B3). We use the density functional theory, which is based on the plane wave basis and the pseudopotential approach, as implemented in the Quantum Espresso Software package. ScP and AlP exhibits metallic behavior in the B1 and B2 phases. The B3 phase of ScP displays a semiconductor characteristic with a broad and straight band gap at X of (1.617). In AlP, the B3 phase exhibits semiconductor characteristics with an indirect band gap at Г-X of (1.60). Both compounds ScP and AlP on B1, B2, and B3 structures report computed ground state parameters. The zinc blend phase is the most stable of the three phases, according to the findings. Our computed results are in good agreement with earlier investigations. The work presented in this article is related to sustainable development goals (SDGs) to transform our world regarding industry, innovation, and infrastructure.
Secured Authentication and Key Sharing Using Encrypted Negative Password in IoT Devices
Authors: Sudhakaran Pradeep , Kaliyaperumal Manikannan , Sindhu V
Published: April 2022

State hoarding is an important consideration in systems that use a mystery word request, which is now the most widely used check mechanism for removing security issues. In this study, we present a perplexing word check structure that is expected to provide safe riddle word handling and might potentially be integrated into existing explanation frameworks. They received a clear puzzle enunciation from a client who had astounded out a cryptographic hash work in our sequence of events. The hashed puzzle verbalization is adjusted into a negative problem key at that time. Finally, using a symmetric-key figure, the negative puzzle enigma is combined into an Encoded Negative Enigma state (e.g., AES). In expansion development security, multi-cycle encryption might be used. Avoiding passwords from ENPs is difficult due to cryptographic hash work and symmetric encryption. There are also stores of monitoring ENPs for a particular plain appear up that the ENP might oblige enquire table trap and supplies more solid mystery key security below word reference trap. It's thought that the ENP doesn't appear to have any extra parts (such as salt). Apart from that, the ENP may at the very least deny pre-calculation ambushes. The ENP is the most basic key, including symmetrickey figures, cryptographic hash work, and negative mystery words, all without the requirement for any more information beyond the simple mystery express.
Evaluation of Different Slip Mechanisms in Relation to Various Nanofluid Consideration Factors
Authors: Srivastava Devansh , Raj Dhanshyam , Kumar Manish , Kumar Abhishek , Yadav Devendra
Published: April 2022

In this study, the influence of various factors: nanoparticle type (Al2O3, SiO2, and TiO2), concentration (0.05%, 0.1%, and 1%), and flow velocity (Re = 50, 100, and 200) on various forces (slip mechanism) act on nanoparticles is analyzed which can affect heat transport characteristics. The study reveals that the concentration is a more significant parameter for enhancement in Nusselt number compared to others. All nanoparticles have the same size of 50 nm and are spherical in shape. The variation in nanoparticle type results in change in density, thermal conductivity, specific heat, and viscosity of nanofluids. The variation in nanoparticle type influences the gravity, Brownian, Thermophoresis the most. On the other hand, the change in velocity of nanofluids influences the Drag, Thermophoresis, Shaffman Lift, Magnus force the most.
Wearable Health Status Monitoring Device Based on Wireless Sensor Network
Authors: M Rohith Surya , ThameezDeen P , Sudhakaran Pradeep
Published: April 2022

It is never really understood the necessity of a product unless there is an unpredictable need for it. Most people’s lives are hard such as those with fluctuating heart rates, breathing problems and many such others. They are forced to be monitored in most parts of their lives, this device gives them a chance to feel secure. With the heart rate sensor, it immediately detects the fluctuation in heart rate and immediately notifies the concerned people along with your location, and your health status. Being in a pandemic it should understood the necessity of this device as it also keeps track of your temperature. This is a device which priorities health and secures the user, a wearable health status monitoring device based on wireless sensor network.
Experimental and Thermal Analysis of Desktop FDM 3D Printers "Ender 3" and "CR-10S Pro" Hot Ends
Authors: Kiran Karthik Maridinapalli Sai , Karanam Havish Karanam Ramendra , Prabu S. Senthur
Published: April 2022

Nowadays, the desktop 3D printers are common in computer aided manufacturing and widely used in multiple applications across homes, offices, and in several business sectors, etc. A wide variety of filaments like PLA, ABS, PETG, TPU, etc. are now being used in Fused Deposition Modeling (FDM). These filaments require different temperatures to print. FDM is a process in which a material in its filament form is melted and deposited layer by layer to form the required object. The hot end of a printer plays a crucial role in the melting of these filaments for printing. It is a major component of a 3D printer, where the filament is brought to a semi-solid state, to extrude and deposit the filament in layers. In this research study, the hot end of "Ender 3" and "CR-10S Pro" are modeled using Computer Aided Designing software, and thermal analysis using Finite Element Analysis, is carried out by applying the maximum printing temperature of PLA for the two printer hot ends. To optimize the problem of wide temperature gradient which often results in clogs and jams across the hot end, the design of heat sink is modified to maximize heat dissipation. Alongside, the simulation result is also compared with manual experimental readings.
A Survey on Applications of Multi-Attribute Decision Making Algorithms in Cloud Computing
Authors: Saha Munmun , Panda Sanjaya Kumar , Panigrahi Suvasini
Published: April 2022

Cloud computing is growing tremendously for its on-demand services, a massive pool of distributed resources, rapid provisioning of resources, and many more. It empowers many organizations/customers to build on-demand applications without investing large capital in creating hardware infrastructure. These organizations encounter numerous challenges towards obtaining full-pledged services from the cloud service providers (CSPs). One such challenge is identifying and deciding upon a suitable CSP that can fulfill the quality of service (QoS) requirements of these organizations. Moreover, the services offered by the CSPs are interrelated and beneficial, and non-beneficial. As a result, it makes it difficult for organizations to suitably evaluate the services rendered by the CSPs. Therefore, multi-attribute decision-making (MADM) algorithms are applied in the literature to overcome the above challenge of uncertainty. In this paper, we survey applications of such algorithms from the perspective of cloud computing. The survey covers both traditional and recent algorithms with their objectives, processes, pros, cons, and implementations. We also present the upcoming challenges and open issues, followed by the performance metrics and tools for their possible implementations. Finally, we conclude by summarizing the survey with some notable remarks.
Impact of Effective and Non-Effective Change Management on Organizational Performance: A Comparative Study Between Nokia and Samsung
Authors: Kaur Jaswinder , Agrawal Supriya , B Parimala Devi , Chaudhari Niraj
Published: April 2022

This research paper focused on the concept of change management from two perspectives. One, where Nokia failed to implement change effectively, and two where Samsung did everything right while implementing change. This research identified how failing to understand and implement just three steps of Kotter’s change management can cause catastrophic failure that happened with Nokia. Therefore, from this research paper, it can be conclude that if implemented properly change management can improve performance of an organization such as Samsung. On the other hand, if it is not implemented properly, it can hamper performance of an organization such as Nokia.
Examination of Diabetes Mellitus for Early Forecast Using Decision Tree Classifier and an Innovative Dependent Feature Vector Based Naive Bayes Classifier
Authors: Pradeepika Aluru , R Sabitha
Published: April 2022

The proposed study aims to evaluate the accuracy and precision in earlier diabetes mellitus detection using Decision Tree and Naive Bayes classification algorithm. Materials and methods: Naive Bayes classifier is applied on a Pima Indian diabetes dataset that consist of 769 records. A machine learning technique for earlier prediction of diabetes disease which compares Decision Tree and Naive Bayes classification algorithms has been proposed and developed. The sample size was measured as 27 per group. The accuracy and precision of the classifiers was evaluated and recorded. Results: The accuracy was maximum in predicting diabetes using Naive Bayesian classifier (76.46%) with minimum mean error when compared with Decision Tree Classifier (70.09%). There is a significant difference of 0.006 between the groups. Hence, Naive Bayes appears to be better than Decision Tree Classifier. Conclusion: The study proves that Naive Bayesian Classifier exhibits better accuracy than Decision Tree Classifier in predicting diabetes.
An Improved Prediction Model for Observing Rainfall Pattern Using Novel Spatio-Temporal Evolution by Comparing Linear Regression Over Logistic Regression
Authors: Kumar Kanamaneni Anil , D Vinod
Published: April 2022

The aim is to classify spatio-temporal evolution logic to predict rainfall in advance for improving people's awareness rate. Materials and Methods: The Geographical Data Sharing of India dataset used for training and testing of the proposed prediction model, which consists of 1200 pattern visualization with 8 attributes. Classification is performed by invoking Logistic Regression with a sample size =10 and Linear Regression with a sample size =10 with a G power of 80% and threshold 0.05%, CI 95% mean and standard deviation. Results and Discussion: In this work, the comparison of linear and logistic regression has classified and predicted the values from the rainfall data to generate accuracy with linear regression has higher accuracy (87.32%) comparison with Logistic Regression accuracy (80.35%). Conclusion: Prediction in rainfall patterns, linear regression consisting of classification to rainfall, has significantly been used to generate better accuracy than the Logistic Regression.
An Enhanced Diabetic Retinopathy Prediction Model Using Novel Optical Coherence Tomography by Comparing Random Forest Over K-Means Algorithm
Authors: CH Jahnavi , D Vinod
Published: April 2022

The framework aims to predict diabetic retinopathy using optical coherence tomography images by comparing Random Forest and K-Means algorithms. Materials and Methods: The hospital data sets are used for training and testing the optical coherence tomography images with. An efficient and accurate analysis of tomography images classification has been performed on Random Forest with the sample size = 5 and K-Means with a sample size = 5 with a G power of 80% and threshold 0.05%, CI 95% mean, and standard deviation. Results and Discussions: The accuracy rate of Random Forest is 85% and accuracy rate of K-Means is 73%. There is a statistically significant difference among the study groups with significance value (P<0.05). Conclusion: The experimental results show that the random forest shows better accuracy than K-Means for the classification of tomography images with less error rate.
CNN Based Automatic Speed and Steering Control System Using Matlab
Authors: Acharya Gobinda Prasad , Sai Krishna P. , Srikar Reddy K , Sanjana S. , Shvejan Shashank M.
Published: April 2022

The current technology revolution in automobile industry is the autonomous vehicle wherein the vehicle without any intervention from the human driver responds to all kind of external conditions and performs all necessary functions that a human driver would perform while driving. Traffic sign identification is a crucial task in an autonomous driving system and even a minute misinterpretation could turn into a fatal one. This paper proposes a CNN based image classification which specifically uses pre-trained feature generated neural networks present in GoogleNet. GoogleNet is a CNN which recognizes the traffic signboards present by the roadside and sends the control signal to a microcontroller (Arduino Board) which controls the speed and the steering of the vehicle. The implemented CNN based automatic speed and steering control has been verified with a greater accuracy. The work presented in this paper leads towards the development of smart and sustainable cities under the Smart Cities Mission of India.
Smarter and Safer City Using Internet of Things
Authors: T Sudha , P. S. Saarika , S Nath Aditya
Published: April 2022

Internet of Things (IoT) can make a significant contribution in making cities greener, more secure, and more viable. This paper proposes 4 subsystems that help make cities smarter. First is a Smart Super Market, which enables customers to acquire product information with smart storage details and also makes the checkout process hassle-free. A waste collection system, in light of offering intelligence to garbage canisters, using IoT is also introduced. A Smart Streetlight and Traffic Signals Control System is presented which has two parts. The first part automates streetlight control using sensors that detect daylighting and other weather conditions. The second part presents traffic signals controlled by sensing the real-time congestion on the roads. A Women Safety System which helps women feel safer by notifying the local authorities in alarming situations is also introduced.