bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of Human Facial Expression with Machine Learning Classifier Using Convolutional Neural Network Instead of Traditional Pixel Value Algorithm for Better Accuracy
Authors: K Vishnu Swaroop , M S Saravanan
Published: April 2022

This study is to detect facial expressions using facial images for machine learning algorithms. The objective of this research is to improve the accuracy of human facial expressions. Materials and methods: The study used 71 samples with two groups of algorithms with the g-power value of 80 percent and the novel heart images were collected from various web sources with recent study findings. To predict facial expression in humans already, the Traditional Pixel Value (TPV) algorithm has found 82% of accuracy, therefore this study needs to find better accuracy for facial detection with the Convolutional Neural Network (CNN) machine learning algorithm. Results: This research study found 93% of accuracy for facial detection using the CNN algorithm. Conclusion: This study concludes that the CNN algorithm on facial images is significantly better than the TPV algorithm.
Precision Analysis of Salient Object Detection in Moving Video Using Region Based Convolutional Neural Network Compared Over Optical Character Recognition
Authors: Pramila P.V. , Yamini Atani
Published: April 2022

To detect the number plate of the vehicles which violates the traffic rules using optical character recognition compared over region based convolutional networks. Materials and methods: In this work, number plates are identified by optical character recognition with the sample size of 22 and region based convolutional neural network of sample size 22. The number plate of the vehicle will be detected and converted into string format. Results: A prediction accuracy of 96.4% using the optical character recognition method was achieved, while the region based convolutional neural network was 94.2.%.The significance value obtained in statistical analysis is 0.02(p<0.05). Conclusion: The results show that identification of number plates is significantly better in optical character recognition than region based convolutional neural networks.
Solitude As an Avenue for Mental Detox to Reconfigure the Self
Authors: Monisa R. , David Arputha Raj V.
Published: April 2022

Pablo Picasso’s words, "Without great solitude, no serious work is possible” rightly points to the gravity of Solitude. The glory of Solitude finds a place in the receptacle of literature. In American Literature, Solitude has been the bedrock for the movement of Transcendentalism and the ideology of Individualism. Solitude, rather than an essentially distraction free peaceful environment, is a serene disposition of the mind, where a person separates himself/ herself from his/her usual community attachment to discover the self. It is real powerful that it can give a person his/ her predicament in this universe. Mental Detox is moving past trauma caused by thoughts, emotions and the external world to a brand-new reshaped identity. These ideas have been well supported in the selected poetry of Sylvia Plath, Emily Dickinson and Robert Frost with the application of Thoreauvian Philosophy and Roger’s Self-theory of Personality. This study elaborates how Solitude can function as an avenue for Mental Detox to Reconfigure the Self by applying Thoreauvian Philosophy, Roger’s Self-theory of Personality and the concept of Mental Detoxification to the analysis of selected American Poetry.
Exploring Sustainable and Affordable Cancer Care Using Artificial Intelligence
Authors: Goswami Mausumi , Thakur Saurav
Published: April 2022

Now, in recent decades, AI and ML have become a major part in developing and maintaining the healthcare system. Now, by using AI and ML in healthcare, it can provide a massive help for the healthcare workers. AI and ML help the healthcare workers for making better decisions. In some practical areas, it may take the place of human action for making decisions such as radiology. It can help to gather medical knowledge or information from different journals, textbooks, or clinics, which will help in reducing time for study and research. AI and ML help in predicting the early diagnosis of disease based on the patient’s data and even help to prevent that disease. Breast cancer is the most frequent category. Breast cancer is followed by lung cancer, followed by mouth cancer. These statistics have triggered this research. Breast cancer is found in every one women among eight woman. Sustainable care shall help to fight with the disease. Sustainable care includes affordable cancer care and it’s possible through early prediction of cancer. In this research we are using artificial intelligence-based techniques for early prediction of cancer. Future direction of work will focus on usage of transfer learning and other models of AI-ML to help the society and mothers of nations to fight against the increasing spread of cancers.
The Influence of Zeolite on the Level of Mercury (Hg) and Chromium (Cr) in Adsorption Treatment
Authors: Dewi Yusriani Sapta
Published: April 2022

Various chemicals used in Chemical Oxygen Demand (COD) analysis carried out in laboratories produce highly acidic waste containing lots of heavy metals, including mercury and chromium. The goal of this study is to analyze the influence of zeolite on changes in the level of mercury and chromium using adsorption method. The research was carried out with a completely randomized block design. The data was then analyzed using the effectiveness formula and Completely Randomized Block Design ANOVA. The results showed that zeolite could reduce the level of mercury and chromium, with stirring time and the amount of zeolite used as other influential factors. When 0.0017 mg/L of mercury was used, environmental quality standard was achieved when 20 g of zeolite was added, with stirring time of 180 minutes. Meanwhile, when 0.4113 mg/L of chromium was used, only 5 g of zeolite was needed, with stirring time of 180 minutes, to reach the environmental quality standard for chromium. Keywords: zeolite, mercury, chromium, adsorption, weight, and stirring time
The Effect of Community Activities Restrictions Enforcement (CARE) and Mask Waste Management on Environmental Sanitation Behavior during the Spread of Delta Variant of COVID-19
Authors: Dewi Yusriani Sapta
Published: April 2022

Public concern is essential in dealing with the spread of the Delta variant of COVID-19, especially related to environmental sanitation behavior. Delta variant itself is caused by a type of mutation of coronavirus. The purpose of the study was to analyze the effect of Community Activities Restrictions Enforcement (CARE) and mask waste management on environmental sanitation behavior during the spread of Delta variant of COVID-19. A quantitative approach was used in the study, and the data was collected through survey with Google Form. The population of this study were all residents of the Bojongkulur Village, Gunungputri, Bogor, Indonesia. The sampling technique used in this study was simple random sampling, with 78 residents as research samples. The data analysis technique used in the study was partial and simultaneous linear regression using SPSS version 26.00. The results showed simultaneous positive and significant effect of Community Activities Restrictions Enforcement (CARE) and mask waste management on environmental sanitation behavior during the spread of Delta variant of COVID-19, with Community Activities Restrictions Enforcement (CARE) having bigger influence between the two. Keywords: Community Activities Restrictions Enforcement (CARE), Mask waste management; Environmental sanitation behavior; Delta variant
Retaining High-Value Staff to Ensure a Competitive Advantage: Role of HRM
Authors: Rajagopal Navaneetha Krishnan , Saini Mankeshva , Begum Rahimunnisa , Solanki Umesh
Published: April 2022

The purpose of this research work was to find out how the HRM department of an organization contributes to employee retention in an organization. For this purpose, in this research, Wal-Mart is selected and secondary data was collected. From the secondary data, it was found that Wal-Mart’s HRM department has implemented several incentives and benefits for all the employees working for this organization. These incentives and benefits implemented by the HRM department of Wal-Mart are helping the organization to motivate its employees. This employee motivation is helping the organization to retain its existing employees. Therefore, from this research, it is found that the HRM department of an organization triggers employee motivation and that motivation encourages them to remain in the organization for a longer amount of time.
Numerical Analysis of RLC Electrical Circuits Using Caputo Fractional Differential Operator
Authors: Muniswamy Sowmya , Patil Vidya
Published: April 2022

Fractional differential operators deal with derivatives of arbitrary order. In general the solution of a fractional differential equation involves the Mittag-Leffler function. In this paper we discuss the analytical and numerical solution of the fractional differential equation associated with the RLC electrical circuit by applying the Caputo fractional differential operator. The solution obtained is expressed in terms of three parameter Mittag-Leffler function. Here we prove the existence and uniqueness of the solution to the fractional differential RLC electrical circuit and also provide numerical examples to show the accuracy and efficiency of the method used.
Genetic Diversity and Population Structure of Lethrinus Lentjan (Lethrinidae) in Vietnam Based on SNP Markers
Authors: Truong Oanh Thi , Tran Sang Quang , Vu Quyen Dang Ha , Binh Dang Thuy
Published: April 2022

Lethrinus lentjan (Lacepède, 1802) is an important commercial species for marine fisheries in subtropical and tropical regions of the Indian and Indo-Pacific oceans. Although heavily exploited, their genetic diversity and population structuring along the Vietnam coastline are unclear. Here, we used a panel of single nucleotide polymorphisms (SNPs) generated from restriction site-associated DNA sequencing (RADseq). After removing 405 outlier loci, 1,506 putatively neutral SNPs from 62 individuals were used to assess the genetic population structure of L. lentjan. Observed/expected heterozygosity (Ho/He) within sites ranged from 0.170/0.202 (Southeast) to 0.188/0.213 (Central). Pairwise FST values, Structure and Discriminant Analysis of Principal Components (DAPC) analysis indicate the lack of spatial genetic structure, suggesting the presence of a single panmictic population. Larval dispersal by ocean currents may facilitated high gene flow of L. lentjan along the Vietnamese coastline, and Mekong River outflow may not act as the natural barrier.
Assessment of Orthodontic Treatment Needs in Older Adults: A Retrospective Study
Authors: K Ahmed Hilal Sheriff , B Nivethigaa , V Rakshagan
Published: April 2022

The number of adults seeking orthodontic treatment has consideringly increased in the last 25 years. The adults fall into two categories, young adults and older adults. Treatment in adults is in all ways different from children and adolescents. The aim of this study was to assess the orthodontic treatment needs in adult patients. This was a retrospective study which was performed in a university setting. Data of patients who had routine dental check private teaching hospital Chennai, from June 2019 to March 2020, were collected. Records of 41,190 patients were analyzed. Inclusion criteria for the study were patients above the age of 30 years. Exclusion criteria were patients with incomplete record or repetitive data. There were three people involved in this study: the guide, reviewer, and researcher. All the available data was collected and sorted. The patient detailed case sheets were analyzed using the parameters such as age, gender, and treatment advised. Cross verification of the data was done by the second reviewer in order to avoid any missing or repetitive data using photographs, and tabulated in Excel. The final sample obtained for the study included records of 21,976 patients. Once the results have been tabulated based on the parameters, the data was then exported to SPSS software for statistical analysis. Descriptive statistics and chi square tests were done between the parameters: gender, age, and treatment options.
Low Temperature Sol-Gel Processed Zirconium Oxide Based Transparent Resistive Random Access Memory Devices
Authors: K. M Shafi , Biju K P
Published: April 2022

In this work, solution-processed ZrO2-based resistive random-access memory (RRAM) device with ITO (Indium Tin Oxide) as a bottom electrode (BE) was fabricated at a low thermal budget by sol-gel spin coating technique. The grown devices (ZrO2/ITO) were found to be amorphous by XRD measurements and exhibit 80% transmittance in the visible region. The resistive switching characteristics of solution-processed ZrO2 thin films were investigated. The W/ZrO2/ITO device exhibits good cyclic endurance with an on-off ratio (~10) and reliable switching and good retention at room temperature. The conduction mechanism for the low resistance state is ohmic, whereas the conduction mechanism of the high resistance state is ohmic at low applied voltages, while a space charge limited conduction (SCLC) at the high applied voltages. The combined ohmic and space charge limited conduction mechanisms together indicate that the RS behavior in the ZrO2 layer is due to the formation and rupture of conducting filaments. Results suggest that solution-processed ZrO2 has great potential to develop transparent and flexible resistive random access memory devices.
Camera Self-Triggering Mechanism for Optimal Image Capturing
Authors: Bandara Hasitha Eranda , Wijesinghe Susantha , Wickramasinghe Manjula
Published: April 2022

Detection and distortion-less image capturing are important steps in machine vision systems. For this purpose, additional hardware-based detecting methods and distortion filtering methods are used. Especially in vision-based product quality monitoring systems, detecting targets and capturing images with minimum distortion is critical to the defect detection process. Therefore, photoelectric sensors and multi-camera-based sensing systems are used to detect the targets. However, it is highly desirable if a single camera can do both of the functions. This paper presents a camera self-triggering mechanism for conveyor targets using a single camera-based system and no other sensing devices. It works with background subtraction and SIFT-based keypoint matching techniques. The proposed method has been tested for three types of sample sets with two convener speeds on the experimental setup. The results revealed that the proposed method has a high potential to generate triggering signal of the camera in best capturing point correctly.
Towards Applicability of Machine Learning in Quality Control – a Review
Authors: Deshmukh Hrishikesh Sampat , Jadhav Vijay S , Deshmukh Suhas P , Rane Kedarnath K
Published: April 2022

Quality control is one of the tasks involved in the industry that needs reform in the technological field by the use of machine learning. Machine learning will aid in the reduction of human effort and the improvement of product quality. As an emerging field, machine learning can provide a suitable solution for fast and reliable information for quality determination through the use of various algorithms such as neural networks. It improves the efficiency of the machining operations. With the coming of new providers of the internet of things and machine learning technologies, there has been a move from classical approaches of data acquisition to machine learning-based data acquisition methods. This review paper provides information about using ML-based techniques in the quality determination of the products and provides various algorithms that can be used in manufacturing.
Partially Replacing EPS Foam and Metakaolin in Interlocking Bricks
Authors: A K Dasarathy
Published: April 2022

The characteristics of interlocking blocks made with recycled expanded polystyrene (EPS) foam as a partial substitute for coarse aggregates and Metakaolin in place of fly ash are presented in this study. This is a list of the blocks' properties. In the study, a multi-criteria decision model was also used to find a solution to waste issues and rising building material costs. Pulverized EPS was used to replace coarse aggregates by 10%, 15%, and 20% by volume, respectively. To make the block lighter, metakaolin and EPS foam are used. For comparison, a control specimen was prepared. Laboratory tests were performed to compare the physical and mechanical properties of the proposed interlocking block to those of a conventional concrete hollow block (CHB) in terms of physical and mechanical properties, material cost, and construction time. Finally, a comparison of parameters between the conventional and proposed blocks revealed that the proposed block is superior in terms of material, cost, and construction time.
Design and Development of Contrast-Limited Adaptive Histogram Equalization Technique for Enhancing MRI Images by Improving PSNR, UIQI Parameters in Comparison with Median Filtering
Authors: Vinoothna Boppudi.
Published: April 2022

Image enhancement is used to improve the quality of images and it enhances, sharpens image features, such as edges, boundaries, and contrast, to make a graphic display useful for display and analysis. In order to enhance the quality of MRI images, histogram-based image enhancement technique is developed in this work. Materials and Methods: In this research, a Contrast Limited Adaptive Histogram Equalization (CLAHE) based image enhancement technique is proposed and developed for MRI images and the proposed work is compared with another image enhancement technique called Median Filtering (MF) method. Input medical images (N=30) of both group were downloaded from standard medical database. The enrollment ratio is obtained as 1 with 95% confidence interval and a threshold value 0.05. Results: The performance of image enhancement is measured using two parameters namely, Peak Signal Noise Ratio (PSNR) and Universal Image Quality Index (UIQI). These parameters are calculated and evaluated to assess the proposed methods efficacy. High values of PSNR and UIQI indicate better enhancement. CLAHE provides mean PSNR values of 18.6968(dB), mean UIQI of 80.9220%, and median filtering method provides mean PSNR values of 14.2261(dB) and mean UIQI of 76.3463%. Conclusion: Based on the experiment's results, the CLAHE image enhancement technique significantly performed better than the MF technique.
An Artificial Intelligent-Based Chatbot for Dosage Prediction of Medicine Using Noval Deep Reinforcement Learning with Natural Language Processing
Authors: B Phani Raghava , Ashok Kumar S.
Published: April 2022

The aim is to create an artificial conversation entity (chatbot) using Python to predict dosage of medicine for healthcare treatments. Materials and Methods: Two algorithms, deep reinforcement algorithms, are compared with deep learning algorithm sample size taken 28. G power of 80% and sample size is calculated using G power tool. Results and Discussion: Performances of the score model validated test set accuracy with 95% confidence interval for deep reinforcement algorithm with different sub-samples having different number of intents comparing with deep learning, which has 85% accuracy. Conclusion: From the results, it is concluded that proposed algorithm deep reinforcement will produce better results than the existing algorithm.
University-Community Collaboration for a Sustainable School-Based Program for the Holistic Education and Wellness of Adolescents
Authors: Thomas Lijo
Published: April 2022

Adolescents have been particularly affected by the COVID-19 pandemic and the closure of schools that are already struggling to carry out their mission of quality education and holistic well-being of students. Research suggests that community-collaborative schools are improving students’ academic engagement and reducing learning barriers. When communities and universities are involved in holistic education, it benefits all the stakeholders by enhancing mutual learning and strengthening both. Community members’ involvement for student development encourages students and their families to be more involved in community-service initiatives. The paper reports DREAMS, a multi-stakeholder partnership (schools, universities and communities) after-school mentoring model’s sustainability. The study identifies and delineates how the model has incorporated the Sustainable Development Goals (SDGs) calling for Good Health and Well-being (SDG-3), Quality Education (SDG-4), Sustainable Cities and Communities (SDG-11) through Partnerships to Achieve its Goals (SDG-17) and proposes it as a sustainable after-school plan for the post COVID scenario
A Study on the Performances of PEGDA and PEDOT: PSS Composite Resin for 3D-Printed Biosensor Applications
Authors: Abdullah Hilmee , Phairatana Tonghathai
Published: April 2022

3D printing has received a lot of attention for medical devices development. Polyethylene glycol diacrylate (PEGDA) and poly(3,4-ethylenedioxythiophene) (PEDOT) have been exploited as a photocurable composite resin for vat polymerization 3D printing to obtain both biocompatible and conducting properties. However, there has been no report on the performance of the conductive polymer from different preparation methods of PEDOT:PSS, which are: as received PEDOT:PSS, dried PEDOT:PSS, sulfuric-treated PEDOT:PSS. Here we first investigated the PEGDA:PEDOT blends properties. The PEDOT:PSS treated by sulfuric acid provided the highest transparency and the lowest resistivity, while the composite resin from dried PEDOT:PSS showed the lowest swelling degree. The swelling degree could be reduced when the amount of DI in the PEDOT:PSS solution was decreased. The electrochemical behavior of the composite from treated PEDOT:PSS provides the promising potential to be used as a working electrode for biosensor application.
Sustainability and Gender Inequality within Handloom Value Chains
Authors: Rao Balram
Published: April 2022

This paper empirically examines how and to what extent global value chains have impacted on the sustainability and gender inequality within the handloom value chain. The handloom sector in India contributes significantly to trade and offers livelihood opportunities to more than thirty three million workers. Traditionally, the handloom value chain involves family labour and women constitute a major portion of the handloom workforce in India. In this context, we examine both sustainability and inequality in terms of gendered labour relations in socio-economic mobility by giving a complete picture of the handloom value chain. The analysis is based on responses of 500 handloom workers employed across the Handloom Mega Cluster of Banaras’ in India. The conceptual and analytical framework of the global value chains (GVCs) is used to analyze the transitional nature of insertion of economies in the global production and distribution process. Findings highlight the lack of capacity upgradation, as most of the handloom household workers face survival vulnerability and remain trapped in poor wellbeing due to low human capital, low productivity, and low income. In contrast to male workers, women workers are found at more disadvantage as they face social constraints and discrimination in access to market and welfare schemes.
A Cryptosystem of Skewed Affine Cipher of Multiple Keys
Authors: Jayanti Sravani , Chittibabu K , Akkapeddi Chandra Sekhar
Published: April 2022

In this era, where communication over technology has become vital, the reliability of the same is of utmost need. Cryptography ensures confidentiality, user authentication, and integrity of data. One of the techniques is the Elliptic Curve Cryptography (ECC). Several classical ciphers are designed based on mathematical backgrounds. In this paper, we focus on combining Affine Cipher and ECC to magnify the security provided by an Affine cipher. Hence a skewed Affine cipher that uses multiple keys over Elliptic curves is proposed. The keys chosen are derived from the points on the specified Elliptic curve, which forms a cyclic group or a cyclic subgroup.
Impact of Digital Marketing on Customer’s Purchase
Authors: Jayadeva Sujay
Published: April 2022

Using social media with email marketing is one of the most frequent forms of digital marketing used by businesses. Because of their ease of use and resilience, social media and email marketing are particularly effective in increasing customer involvement and, as a result, influencing purchase intent. Overall, digital marketing technologies enable firms to easily and quickly sell their products, resulting in an increase in sales volume. CoderFirst Sri Lanka, an ICT company, is the subject of this study, which aims to investigate the relationship between social media, email marketing, and customer engagement and purchase intention. Theoretical evidence of the relationship between the components is sought, as well as a determination of the appropriate implications for the long-term use of the research findings. 363 individuals completed an online questionnaire as part of this study's research instrument.
Towards Sustainability: Examining the Antecedents of Organic Products Usage Intention in India during COVID-19 Pandemic
Authors: Lathabhavan Remya , EP Ephzibah
Published: April 2022

The present study investigates the antecedents of organic products usage intention in India. Based on previous research in this area we considered four constructs- environmental concern, health concerns, attitude to buy organic products and intention to buy organic products. We linked two Sustainable Development Goals with the study-SDG 3 and SDG 12 .Data were collected from 573 respondents from India. An online survey was conducted using snowball sampling. Sample consisted of 366 males and 207 females. The mean age of the respondents was 39.5( SD 9.75). Structural equation modeling (SEM) methods as implemented in AMOS 24.0. The study found positive relationships between environmental concern and health concern with attitude to buy organic products and intention to buy organic products. The study also found a positive relationship between attitude to buy organic products and intention to buy organic products. Moreover, the established the mediating role of attitude to buy organic products.
Effect of Doping in Aluminium Nitride (AlN) Nanomaterials: A Review
Authors: Thomas Elsa , Ranjith R
Published: April 2022

Piezoelectric materials can generate electrical charges when subjected to mechanical pressure through the piezoelectric effect. In addition to generating electricity from environmental vibrations, they are also used as nano energy generators for micro electro mechanical systems (MEMS). Aluminum Nitride (AlN) with a doping element exhibits unique physical and chemical properties. It is used to manufacture many electromechanical devices. They are ideal candidates for many applications, including MEMS resonators and microwave filters, due to their large piezoelectric coefficient and low resistance. A number of material properties led to its selection, including high thermal conductivity, good mechanical strength, high resistance, corrosion resistance, and the largest piezoelectric coefficient. A piezoelectric coefficient d33 characterizes the piezoelectric response of AlN thin films. By doping this material, a wide range of applications have been explored.
Numerical Studies on Stability of Sand Slopes
Authors: Latha N Sri
Published: April 2022

Stability analysis of slopes is generally performed to assess the safe design of man-made or natural slopes. Choice of analysis depends on both site conditions and the probable mode of failure with consideration being given to the varying strengths and limitations involved in each method. Numerical techniques provide an approximate solution to field problems which otherwise cannot be solved by conventional methods due to complex geometry, anisotropic material, non-linear behavior, and in-situ stresses. Present study presents results of stability of unreinforced and reinforced model slopes using GEOSTUDIO 2020 and stability calculations were performed using SLOPE/W module and factor of safety of slopes with and without reinforcement is computed by considering various methods. Soil is modeled as a Mohr-Coulomb material in the analysis. The soil properties obtained from laboratory investigation was given as input parameters and analysis was carried out for different types of model slopes. The results from analysis are presented and discussed in detail.
FinTech: Answer for Financial Literacy and Financial Inclusion in India
Authors: Desai Kavitha , M Umasankar , S Padmavathy
Published: April 2022

In India, financial literacy and financial inclusion is the need of the hour. Though economic growth of the country is growing in a positive direction, it is derailed by many factors, such as financial literacy, accountability, and stability of the common public. It could be due to the deprived accessibility to the financial services in India. This study addresses the two key elements in economic growth of the country, namely financial literacy and financial inclusion, and how it could be handled by financial technology. This study sets up the platform in which it is trying to include perception and attitude of both the provider and the user of the FinTech services and compiling its impact on both financial literacy and financial inclusion. A sample size of 644 respondents have been selected using multi-stage sampling technique and distributed with structured questionnaire. The study result gives implication for FinTech service providers in understanding the consumer perspectives and government for policy making.
Interest in Entrepreneurship Students Satya Negara Indonesia University
Authors: Siregar Edi
Published: April 2022

This study aims to determine the direct influence and significance of the family environment and entrepreneurship education on student interest in entrepreneurship at the Satya Negara Indonesia University Campus A. The sample in this study was 127 samples using the formula Hair et al. The data methods used were observation and questionnaires. The data analysis used is path analysis and processed with SPSS Version 22. This study concludes that the family environment has a direct and significant effect on self-efficacy, entrepreneurship education has a direct and significant effect on self-efficacy, and the family environment has a direct and significant effect on interest in entrepreneurship. Entrepreneurship education has a direct and significant effect on interest in entrepreneurship, self-effectiveness has a significant effect on interest in entrepreneurship, family environment has no direct and significant effect on interest in entrepreneurship through self, and entrepreneurship education has a direct and significant effect on interest in entrepreneurship through self-efficacy.
Ductility Consideration for a Sustainable RC Building
Authors: Kumar Aman , Ghosh Goutam
Published: April 2022

In terms of sustainable and green society, a building structure needs to be functional, resilient, and environmental friendly at a post-earthquake event. During a seismic event, the performance of the building gets drastically deteriorated. In terms of safety and serviceability, it is required to evaluate actual capacity of the building at various levels of earthquake in terms of ductility and strength. In the present study, a five-storied residential building has been considered and pushover analysis has been performed to evaluate capacity of the building at various intensity of earthquake with return periods of 475 year, 950 year, 2475 year, and 4950 year. Both the ductility and strength of the building have been evaluated with variation of properties of materials. It has been observed that improvement of ductility can be suitably achieved by selecting a specific grade of steel and concrete. However, the same should also be judged in terms of post-earthquake repair consideration in terms of environmental impact.
A Study on the Use of Computer Assisted Language Learning Reading Activities to Develop Learners’ Metamemory
Authors: Monika M , Anitha Devi V
Published: April 2022

Meta-memory plays an important role in the late adolescent period. Based on the results, the study aims to develop an android application to develop metamemory and reading skills through cognitive language therapy among first-year late adolescent learners with the psychosomatic condition. Cognitive language therapy was employed as psychotherapy and it will develop users’ memory, reading skills, language learning engagement, which will lead to overall academic achievement. The study investigates the significant difference in the participant’s reading skills due to the English language-based cognitive therapy and participant’s metamemory after the intervention of the English language activities in the application. Data collection tools like questionnaires, interviews, and feedback were used to collect data from the learners. The participant’s memory and psychological condition were analyzed through the questionnaire. Cognitive language activities were employed to develop metamemory and reading skills. The result shows that English language-based cognitive therapy activities in the application have improved the reading skill, among late adolescents’ learners with the psychosomatic condition.
Traceability Study on Fishery Supply Chain Using Blockchain
Authors: Jadhav Madhuri , Iyer Sailesh Suryanarayan
Published: April 2022

The research paper proposes to review concept traceability systems in fishery value chain with main focus upon the survey traceability system in fishery value chain. For increasing a trust of consumers and also reducing a risk related with food utilization, basically a Food Traceability System is come with, which provides pertinent information regarding the supply from the source to destination. Utilization of fish is increasing over time. Now a day’s 50% fish use up by humans coming from aquaculture domain. When we are comparing sea food the traceability of fish products is not as good as it is for other food products. most crucial when we are comparing sea food with other food products, this paper gives review regarding different traceability forms and also discusses a new approach of fishery supply chain which overcomes the other issues related with building a trust while purchasing a product.
An Assessment of the Factors that Impact the Well-Being of Handicrafts in India
Authors: Pal Mallika
Published: April 2022

Loss of any support system among the craftsmen community hurts their livelihood. Various organizations undertake efforts to stop this from happening. However, it is difficult to keep track of the situation among various crafts across the country at the same time. In order to keep a vigilant eye on changes in crafts, and to protect the craftsmen from losing their livelihood, an assessment model is required to develop. This model aims at serving as a diagnostic tool that presents the information about the performance of many crafts simultaneously. In order to do so, it was essential to first determine the factors that are at play in the existence of crafts. This paper intends to discuss the first step towards attempting to create that model by determining the factors that impact crafts in India with a view to quantify them at the next stage.
Fistula in Ano: A Modified Approach - A Case Report
Authors: Meghnathlende Meghnathlende , Fadanvis Dr. Prafulla , Makh Dhanashri , Akulwar Dr. Anil
Published: April 2022

Management of fistula is one the most notorious job for the surgeon because of its ill site, chronicity, and recurrences. Treatment modalities like anal fistula plug, mucosal flap advancement, fibrin glue, and VAAFT (Video Assisted Anal Fistula Treatment) are there but ksharsutra has edge on them for its success rate and non-recurrence. Even after its better results, weekly sitting and pain during changing of ksharsutra and discomfort of ksharsutra being in situ makes it difficult for patient to pursue the treatment. Hence, a new approach was mandatory. Considering fistula to be a dushtavrana, shashti upakrama like lekhan, shodhan and ropan were applied in a patient of high-anal transphincteric fistula. Partial fistulectomy, excessive curettage (lekhan) from its internal opening was done. Internal opening was closed and wound was allowed to heal by second intension with the help of shodhan and ropan tail. Post-operative antibiotics and anti-inflammatory were given. It was observed that wound healed at good rate without discomfort of patient in 25 days. It underlines importance of shashtiupkrama in modern age of surgery also.
In-Silico Structural Modeling and Prediction of Conformational B-Cell Epitopes of Potential Vaccine Candidate Pre-Binding Protein
Authors: Devi Sanasam Bijara , Kumar Sanjeev
Published: April 2022

Malaria is a life threatening infectious disease causes by Plasmodium species, wherein Plasmodium
falciparum being the most lethal causes severe malaria. Plasmodium parasites have a complex life cycle and employed several immunity evading mechanism that enable the parasite to multiply and survive avoiding the host immunity. The rise in drug-resistant Plasmodium parasites and the unavailability of an effective vaccine lead to major challenges in controlling the parasite. Therefore, it is of utmost important to identify novel potential targets that can be directed for therapeutic intervention. In the present study, conservancy, localization, and the antigenicity of PREBP was determined by using different bioinformatics tools. The 3D structure of PREBP was modeled and conformational B-cell epitopes of the protein were predicted using Ellipro. The resulted epitopes might be of great importance as a vaccine sub-unit in the development of an effective malaria vaccine and the generated 3D structure of the protein can be further used for other structural analysis.
Fabrication of Cellulose Capped MnxOy-Ag Nanocomposites and Investigation of Its Oxidative and Antibacterial Efficacy in Water Environment
Authors: Khatun Sathi , Kumer Ajoy , Roy Chanchal Kumar , Moniruzzaman Md. , Chowdury Al-Nakib
Published: April 2022

The Mn3O4-Ag nanocomposite has a large specific surface area and a strong adsorbing and oxidizing reactivity due to the high reducing potential of the Mn3O4 phases it contains. The Mn3O4-Ag nanocomposites were synthesized by a simple chemical deposition method. The organic dye, methylene blue (MB), was found to be approximately 80% decolorized in about 1 min from their aqueous solution during the treatment of the dyes with a suspension of Mn3O4-Ag in an acidic medium and almost completely decolorized within 2 h. The creation of a surface precursor complex between MB and surface-bound Mn (II and III), where electron transferring occurs inside the surface complex, caused the decolorization of MB by Mn3O4-Ag. This nanocomposite also showed the antibacterial activity against Salmonella typhi and Bacillus megaterium, which cause typhoid disease and chronic brain abscesses, respectively.
Development of Airframe for Unmanned VTOL Flying Platform
Authors: M Sundar , Kuppusamy Ashok , V Kugharaja
Published: April 2022

A challenging issue associated with fixed wing Unmanned Aerial Vehicles (UAVs) is that these vehicles are often not appropriate for operating effectively in limited airspace. This problem emerges especially in urban environment where the usage of a runway is not possible, and UAVs usually have to fly at a relatively low speed and altitude. The development of a vertical take-off and landing (VTOL) fixed-wing plane is a promising trend which hopefully will solve this issue. This project aims to address difficulties relating to reconnaissance and surveillance for military and civilian applications. The design concept simplifies tilt-rotor systems by using only the control fins to shift from horizontal to vertical flight and vice-versa, allowing the motor/rotor elements to be fixed. All the basic maneuvering of the aircraft is handled by the control surfaces of the airframe. The system consists of one wing with two motors and two elevons creating a tractor configuration airframe. The active flow over the surfaces assists in VTOL and allows the aircraft to seamlessly carry out vertical flight, such as hovering, and offer maneuverability at slow speeds during horizontal flight.
The Modes of Transmission and Sources of COVID-19
Authors: Sayyed Umar , Chaudhary Amruta , Bankar Nandkishor , Gawande Ujwalla
Published: April 2022

INTRODUCTION:The act of social disposing of and sporting veils has been well-known global in struggling with the constriction of COVID-19. Irrefutably, albeit such practices help with controlling the COVID-19 pandemic positively, the overall oversight of contamination loaded bead and spray transmission via way of means of such practices is inadequately perceived. This audit paper plans to format the writing regarding the transmission of contamination loaded beads and sprayers in diverse herbal settings and suggests the behavior of drops and sprayers took place due to a hack circulate of a tainted character in specific limited spaces. The contextual analyses which have became out in diverse international locations have, with via way of means of all appearances proof, confirmed that the airborne transmission assumes a sizable component in contracting helpless hosts. The infection penchants in limited spaces (plane, visitor vehicle, and scientific offerings place) via way of means of the transmission of beads and vapor sprayers below differing air flow situations have been examined.CONCLUSION: Coronavirus disease might have started from creature to-human contamination, notwithstanding, the infection has developed into a structure that makes quick human transmission through vapor sprayers, beads, and direct contact. Nosocomial transmission of COVID-19 sufferers to hospital therapy works may be restricted via way of means of organising enough well-being measures.
Consumers’ Awareness Towards Sustainable Marketing Practices: A Study in Consumer Electronics Industry
Authors: Rastogi Tanya , Agarwal Bhawna , Gopal Gurram
Published: April 2022

Sustainability is presumed as a key concept in today’s scenario and more and more companies are jumping on this bandwagon to be successful. The present study is an attempt to understand the extent of awareness amongst consumers’ towards sustainable marketing practices adopted by the companies in consumer electronics sector. Another purpose of this paper is to analyze if there exist any difference in the awareness of consumers based on the demographics like gender and age. The study was conducted by collecting data from 204 consumers of electronic products like laptop, mobile phone, etc. Convenient sampling technique was chosen to select the respondents for the study. A structured questionnaire has been used to collect primary data from respondents in the last quarter of 2021. Descriptive statistics and inferential statistics are used for analyzing the data. The results show that there is fair level of awareness amongst consumers of the term sustainable marketing, its products, and practices.
Influence of h-BN Substrate on the Electrical Performance of MoSe2 FETs
Authors: Awasthi Chetan , Jian Wen-Bin , Islam S.S.
Published: April 2022

The unique physical features and transmission characteristics of two-dimensional materials have been widely recognized by the scientific community and extensively explored in recent years to find an alternative to silicon semiconductors' physical size restrictions. Two-dimensional (2D) materials, such as Molybdenum Diselenide (MoSe2), show a promising role in the next generation of semiconductor devices for advanced electronics and optoelectronics. In this work, we reported the fabrication of field-effect transistor using mechanically exfoliated Molybdenum Diselenide. To explore the intrinsic behavior of Molybdenum Diselenide, layered hexagonal Boron Nitride (h-BN) was used as a substrate and dielectric. h-BN enhances the electron concentration and reduces the columbic scattering offered by SiO2 interface resultant enhancement in the mobility and on/off ratio by a factor of ~23 and ~200 times respectively. This study signifies the role of h-BN as a better substrate for two-dimensional material-based FETs.
New Magnetic Coupling Pad with Circular Geometry for Wireless Power Transfer Applications
Authors: Aganti Mahesh , C Bharatiraja
Published: April 2022

In Resonant Inductive wireless power transfer systems (RIPT), the magnetic coupler plays a fundamental role. That assists in passing of power without wires. In wireless power transfer systems (WPT), couplers are designed to achieve various parameters such as power transfer efficiency, high power density, transferrable distance, and tolerant towards misalignment. In addition, minimizing leakage flux, low weight, less cost, and space occupied. To achieve these parameters, researchers proposed different types of coils with different shapes. Those circular coils are more popular due to their unique features. Compared to other coils, these coils lack in power transfer distance. In this paper, a distinct magnetic coupler with circular geometry proposed to preserve some extent of its features. In proposed, a circular quadrature coil added with two circular coils shaped to the circular coil. Proposed topology analyzed using ANSYS Maxwell Finite Element Analysis 3D simulation and compared with different combinations chosen better performing combination.
Synthesis, Characterization of Nano Zinc Sulphide and Evaluation of DNA Binding Interactions
Authors: S Farhat Afsar , MN Chandra Prabha , Rajan Hari Krishna , Vadappi Bhargavi
Published: April 2022

In recent years Bio-Nanotechnology is a new multidisciplinary field of research and development that has offered wide spectrum of potential applications in the medical field. Several hyperproliferative diseases such as cancer are treated by inhibiting DNA synthesis. For the innovative design and implementation of DNA applications in biological systems, it is extremely important to understand how DNA interacts with nanoparticles or small molecules. The ZnS NPs have been synthesized by solvothermal approach by refluxing an aqueous solution of zinc nitrate and Thiourea in presence of EDTA as chelating agent. The interactions of zinc sulfide nanoparticles with calf thymus DNA were investigated and the structural characterization of ZnS nanoparticles was performed using XRD, FTIR, FE-SEM. The average grain size of ZnS nanoparticles were determined from XRD was found to be nearly 3 nm. Binding interaction studies of nanoparticles with CT DNA were carried out using UV–Visible and fluorescence spectroscopy. The binding efficiency was evaluated and the binding constant (Kb) of ZnS was observed to be 1.6x 105M-1 indicating ZnS NPs binds to DNA. The fluorescence quenching investigation revealed that the fluorescence of ZnS Nps was quenched by CT DNA via a static quenching mechanism. The binding studies research on Zns NPs and CT DNA interactions provide new horizons in biomedical applications which may be beneficial for drug designing.
Inflation and Cost Overrun in Public Sector Construction Projects in Nigeria
Authors: Babalola Adewumi Joseph , Aderogba Aderemi Muhammed , Adetunji Omotoyosi Omoyemi
Published: April 2022

There are problems of project abandonment, delays, disputes among the participants in the construction projects, difference between the tender cost, and initial cost and construction cost in most public building projects as a result of inflation and cost overrun in Nigeria. The aim of this study is to examine the influence of inflation and cost overrun on public sector projects in Nigeria and proffer solution on ways to minimize the problems associated with these two variables impacting public sector construction projects. This research work adopted a quantitative research method. This involved design of questionnaires and also collection of secondary data. Fifty questionnaires were administered to public sector professionals and data on ten public buildings projects were collected in Lagos State. The major finding from this study is that inflation and cost overrun affect most public building projects in Lagos State.