bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Accuracy in Anomaly Detection of Intrusion Detection System Using Naïve Bayes Algorithm Compared Over Gaussian Model
Authors: Pramila P.V. , Gayathri M.
Published: April 2022

Aim: To design a best intrusion model that monitors the malicious activities over the network. Intrusion Detection System (IDS) attempts to identify and notify the activities of users as normal (or) anomaly. Materials and Methods: Detection of anomalies for intrusion detection system is performed using Naive Bayes model and Gaussian model (sample size=20). Results: The model performance are validated using accuracy, F1 score, Precision metric. It is observed that innovative method Naive Bayes appears to be a better performing model with an accuracy of 95% when compared over Gaussian model (89%).The significance value obtained is 0.020 (p<0.05). Conclusion: Analysis of accuracy in anomaly detection of network intrusion detection systems is significantly better in Naive Bayes than Gaussian model. Empirical results of F1 score and precision are also observed higher in Naive Bayes model.
Comparison of Electricity Production from Municipal Wastewater Treatment Using Klebsiella Variicola with Anaerobic Sludge in Microbial Fuel Cell
Authors: Bajithun Shaik , Ethiraj Baranitharan
Published: April 2022

The main aim of this study is to compare the power generation of Klebsiella variicola and anaerobic sludge operated double chamber MFC (DMFC) using municipal wastewater. Materials and methods: The wastewater samples collected from MFC with Klebsiella variicola (N=32) and anaerobic sludge (N=32) operated for 10 days (G power 80%). Voltage was measured using a multimeter and current, power, and power density was calculated from it for both groups. Results: The power generation was found to be high in Klebsiella variicola (1230mW/m2) operated MFC compared to anaerobic sludge (120mW/m2) due to its ability to form efficient biofilm on the anode surface compared to anaerobic sludge. The Independent sample T test was done which showed that the Klebsiella variicola operated MFC power generation (p<0.001), found to be significantly higher compared to anaerobic sludge. Conclusion: The study shows that Klebsiella variicola operated MFC is able to achieve higher power generation compared to anaerobic sludge.
Twitter Sentimentality Examination Using Convolutional Neural Setups and Compare with DCNN Based on Accuracy
Authors: Subbiah S. , Dheeraj R.
Published: April 2022

Aim: To perform Twitter Sentiment Analysis using Convolutional Neural Setups and compare with the Deep Convolutional Neural Networks (DCNN) based on Accuracy. The Convolutional Neural Network (CNN) has been used for the work of text classification and has yielded quite good results. In this paper, we propose convolutional neural networks for the task of sentimental Analysis by using Tweets from Twitter. Materials and Methods: The data set that is needed for Twitter sentiment Analysis is acquired from Google’s Kaggle Website and the data set is provided by Analytics vidhya. The data set has the columns namely id, label, tweet. The Testing is performed in Google Collab Environment as it is a web-based application. The data set is imported into collab environment and CNN, DCNN Algorithms are trained and tested. Results: The various results came out in the form of accuracy for various input sample sizes. The IBM SPSS statistical software is used in order to perform operations and obtain results.From the results of this study, it is proved that CNN has performed better than that of the DCNN algorithm. CNN has an accuracy of 95.88% whereas DCNN has an accuracy of 88.10%. Conclusion: In this paper, based upon the obtained results Twitter Sentiment Analysis using Convolutional Neural Networks is more accurate than Deep Convolutional Neural Networks.
A Deep Learning Model to Identify Twins and Look Alike Identification Using Convolutional Neural Network (CNN) and to Compare the Accuracy with SVM Approach
Authors: Chandana.S Harini , R Senthil Kumar
Published: April 2022

Aim: The main aim of this work is to identify twins and look alike using Innovative convolutional neural networks (CNN) and comparing them with SVM. Materials and Methods: Two groups such as Support Vector Machine and convolutional Neural Network were considered. Each algorithm took N=2 samples from the dataset collected and performed two iterations on each algorithm to identify twin faces. Result: The accuracy of identical twin-face detection for biometrics was calculated. It seems Innovative CNN got a significantly better accuracy of (94.01%) when compared with SVM, which has had an accuracy of (83.98%) and having the significance value of (p=0.029). Conclusion: In the work, it could have recognized identical twin faces and differentiate them with different facial features for easy detection to biometrics where Innovative CNN got better accuracy than SVM.
Study on the Compaction Characteristics of Soil Mixed with Quarry Dust for Effective Recycling of Waste from Stone Quarries
Authors: M Ramalakshmi , A Bala Nagendra Babu
Published: April 2022

ABSTRACT Exploring the viability of utilizing the quarry dust waste in construction is investigated in this study through laboratory experiments. Standard Proctor test is conducted for the two groups of soil samples (Group 1 soil without quarry dust, N=17; Group 2 soil with quarry dust, N=17). The results show that the optimum moisture content (OMC) of soil decreases and the maximum dry density (MDD) increases due to the addition of quarry dust with the soil. Also, there is a significant difference between the two groups of soil as the value of p<0.05. Thus the quarry dust can be used as an additive material so as to improve the compaction characteristics of the soil.
A Peculiar Approach of Movie Rating Prediction Using Svr-Algorithm Comparing to Matrix Decomposition with Accurate Rating
Authors: Ganesh R. , C.M. Velu
Published: April 2022

Aim: The framework has been made for a movie rating system to enable us to enjoy our time fruitfully. Film recommendation systems enable users to sort and select the best film fans to see without going through thousands of films which were stored in archives. Materials and methods: A total of 392 samples were collected from movie datasets available in kaggle. For this two algorithms were used, one Matrix Decomposition algorithm and another Support Vector Regression(SVR) algorithm, both the algorithms were executed and compared for accuracy. Result: SVR achieved accuracy, precision, sensitivity, and specificity of 87%, 88%, 89%, and 93%, respectively, compared to 80%, 83%, 84%, and 86% by the Matrix Decomposition algorithm. The results were obtained with a level of significance with (p<0.05) pretest power of 80%. Conclusion: The applied peculiar recommendation model confirms to have higher accuracy than the Matrix decomposition algorithm.
Customer Relationship Management in Banking in the UK Industry: Case of Lloyds Bank
Authors: M Ruben Anto , D Saravanan , S Shahul Ameer , Kaur Palvinder
Published: April 2022

The purpose of this research was to focus on how Lloyds Bank, one of the leading and largest banks of the UK, is using CRM to their advantage. After collecting secondary data, several different methods implemented by the organization were found to implement and strengthen its CRM activities. The findings show the organization is providing training to its employees so that they can become more skillful and competent while dealing with consumers. Lloyd Bank is also tracking buying behavior of its consumers and demands of its consumers based on different demographic factors. These are helping the organization to customize or improve its products and services. Besides, it is also using social media marketing along with traditional marketing methods, such as newsletters to let the consumers know about new product launches. It is also providing discount coupons to its consumers to motivate their buying behavior. Lloyds Bank is also working to increase customer loyalty by providing VIP services to its consumers. It is also continuously improving the way consumers love to communicate so that customer engagement remains uninterrupted. Besides, as a bold move, rather than focusing on all the consumers, Lloyds Bank is only focusing on most-profitable and responsible consumers.
USE OF DIGITAL TECHNOLOGIES BY THE MSMES TO PRESERVE CULTURAL HERITAGE OF INDIA AND ACHIEVE SUSTAINABLE DEVELOPMENT GOALS
Authors: Mohanty Lipika , Swain Sukanta Chandra
Published: April 2022

Abstract: The objectives of this paper are to highlight the cultural heritage of India, to establish the involvement of Micro, Small and Medium Enterprises (MSMEs) in preserving cultural heritage of India, and to ascertain how use of digital technology can facilitate the functioning of MSMEs in preserving cultural heritage of India and achieving sustainable development goals (SDGs), particularly reducing poverty and eliminating hunger. It is basically a descriptive research based on secondary data collected from existing literature and analyzed to highlight how technology intervention in the functioning of MSMEs can preserve cultural heritage of India. It is found that India’s rich cultural heritage can be preserved through digitization. However, considering the changing nature of technology, the preservation process needs to be adaptable to changing technological set up. Keywords: Digitization, Technology, Culture, Heritage, Innovation, Diversity management, e-commerce, MSMEs.
Oral Devices for Obstructive Sleep Apnea: A Literature Review
Authors: Merchant Aman
Published: April 2022

Obstructive Sleep Apnea (OSA) is a very common disorder seen in a lot of people. It is characterized by upper airway collapse, which leads to excessive fatigue, daytime sleepiness, and disturbed sleep. There are different treatment approaches for treating OSA like behavioral management, medication, surgery, CPAP, and oral devices. Among all the treatment options, the oral devices are the most preferred. There are many different types of oral devices with different mechanisms. The most commonly used oral devices include the mandibular advancement or mandibular repositioning devices or tongue retracting devices. The mandibular advancement devices function by holding the mandible in protrusion position, which prevents its relapse, and the tongue retracting devices function by retracting the tongue, which prevents the retrusion of the mandible.
Retention of a Community Healthcare Worker for Three Decades in a Rural and Remote CHC of Bolba in Jharkhand: A Case Study
Authors: Kerketta Ajit , A.N Raghavendra
Published: April 2022

The dearth of healthcare personnel in rural areas is a global problem. Even developed countries are struggling to meet demand. In such circumstances, identifying a health worker who worked for a single CHC for three decades necessitates deeper exploration. Individual case studies were employed to investigate the phenomenon, then thematically evaluated using QAD Miner Lite following a lengthy telephonic interview. The study's findings revealed that a rural upbringing, social class, economic factors, and behaviorism influenced the altruism of Community Healthcare Workers (CHWs). As a result, external and internal factors influenced CHW to service rural areas. But extrinsic factors worked in tandem with intrinsic factors to influence CHW's willingness to serve the rural areas. Rural healthcare shortages exist despite the National Rural Health Mission (NRHM) execution. A substantial amount of the population's health is entrusted to 20 percent of health workers, who account for disproportionately 75.05 percent of rural health outcomes.
Eco-Friendly and Renewable Power Generation from Heat Using Thermophotovoltaic Technology
Authors: Gokhale Hrishikesh , Chaudhari Lochan
Published: April 2022

Renewable energy sources are the need of the hour, considering climate change’s impact on our planet. Many sources are currently being researched, none of them are commercially stable enough to compete with the existing non-renewable energy sources, with the main reason being performance for the price. We aim to develop a practical system based on the current research progress in infrared-based thermophotovoltaic power generation and storage. Similar systems already exist for harnessing solar energy, but we plan to overcome the inability of solar energy to produce electricity in the absence of sunlight by developing an infrared-based system. Another challenge is the unavailability of enough thermal radiation in the vicinity to support the system from different sources. The main objectives of this work are to identify the advantages and disadvantages of such a system, its feasibility, and its efficiency for working in the real world through theoretical predictions, simulation, and experimentation.
Problematic Gaming Among Adolescents Within a Non-Clinical Population: A Scoping Review
Authors: Joseph Sterin
Published: April 2022

Gaming is a pastime activity that has been enjoyed by millions of individuals worldwide for the past few years. The adolescent is in a developmental period that involves significant bio-psychosocial changes, including rapid changes in physical and mental states that make them more vulnerable to addiction. Online gaming could have a higher risk of developing problematic gaming. Many studies have documented video gaming addiction. Further research remains needed to synthesize the factors behind problematic video game usage. The purpose of the scoping review is to synthesize the findings related to problematic video by identifying using a search through the following database: JSTOR, ProQuest, APA Psycnet, and Ebsco. The research will help detect the early symptoms of addiction and understand the mechanism behind the addictive nature. Through the study, we can provide psychological care for adolescents by educating them and preventing and being aware of problematic gaming usage and experiences.
A Review on Electrospun PVDF-Doped Metal Oxide Nanoparticles for Sensor Applications
Authors: Hema Malini V , B Indumathy , Gunasekhar R , Anand Prabu Arun
Published: April 2022

Among the many fluoropolymers, polyvinylidiene fluoride (PVDF) has been well-known since 1960s and is preferred for various electronic applications owing to its lower cost, inordinate mechanical properties, and tunable polymorphism. It is well known that PVDF exhibits five different crystalline polymorphs (α). Among all, β-crystalline phase is the most important with excellent piezoelectric, ferroelectric, and pyroelectric properties.Metal oxide nanoparticles (MO-NPs) are used in diverse applications, aided by their unique electrical, optical, magnetic, and catalytic properties. Many reports are available with a focus on the synthesis of Fe, Co, and Ni oxide magnetic NPs for data storage and sensor applications. More importantly, transition metal cations can exist in several different valence states and their crystallite size increased with increasing addition of metal doping. Incorporation of MO and doped MO with PVDF plays pivotal a role in improving the sensitivity of the piezoelectric sensor. This review covers the doping of PVDF with MO-NPs and their effectiveness towards in applications.
Generative Adversarial Network (GAN) Based MRI Data Synthesis with Validation of Convolutional Networks, KNN
Authors: DAS Sunanda , Guhathakurta Rajib , Roy Debanik
Published: April 2022

Magnetic Resonance Imaging (MRI) is a technology mainly used for disease prediction and treatment. Practically, due to poor quality of MRI images, sometimes it is advised to repeat the scan test again which causes some unavoidable situations with increase of costs. Therefore, only the improvement of the quality of MRI images can give us the relief from these unnecessary problems. So, we need an automated supervised machine learning algorithm to generate high resolution data without more efforts. In this paper, some computational techniques like convolutional networks, K-Nearest Neighbor classifier, and Generative Adversarial Network (GAN) are applied on the MRI images to get the high-resolution based MRI images. The methodology follows medical image localization, detection, segmentation, and classification. The validation results on real data of MRI data fundamentally determines its usefulness and demonstrates the effectiveness in compared to state-of-the-art super-resolution techniques.
Studies on Interionic Interactions of Anti-Tuberculosis Drugs Isoniazid with Mixed Solvents at Different Temperatures: Ultrasonic Studies
Authors: Pradhan Mamata , Nanda Binita , Kar Prativa , Nanda Braja Bandhu
Published: April 2022

Density, ρ, and ultrasonic velocity, u of an anti-tuberculosis drug, isoniazid, INH in the aqueous solutions of potassium citrate, K3Cit, and sodium citrate, Na3Cit were determined at T= (298.15 to 318.15) K and, p =0.1MPa atmospheric pressure. The thermo-acoustic properties like isothermal compressibility (βT), heat capacity ratio (g), molar compression (W), acoustic impedance (Z), molar sound velocity(R), relative association (RA), intermolecular free length (Lf), relaxation time, coefficient of thermal expansion(α), and non-linearity parameters have been evaluated from ultrasonic velocity, u, and density, ρ at the studied temperature T= (298.15 to 318.15) K. The results obtained by these processes have been used to analyze the presence of intermolecular interactions existing in the solutions system (INH+Water+K3Cit/Na3Cit). The concentration and temperature effect of the solutions on intermolecular forces were studied at the same pressure
Significance of Wearing a Mask While Attending Patients in the Dental Chair
Authors: N.E. Kaviya , A.K. Anjali
Published: April 2022

In the field of dentistry, the exposure of microorganisms in the blood and saliva to the dentist is high because of direct contact of the dentist to the oral cavity. To minimize the risk of infection the dental practitioners are advised to use face masks as protection against infection. The use of face masks helps in reducing the transmission of disease. The mouth mask helps in prevention against bacterial, fungal, and viral pathogens. The mouth mask helps the clinician and workers in the clinic to protect them from disease spread. The surgical face mask is very important to prevent aerosol transmission from the patient to the clinician and from clinician to patient. The face mask acts as a protective barrier against the oral pathogens and serves as good personal protective equipment. It plays a role in pandemic situations to prevent the transmission of diseases and serves as a main personal protective measure. According to the CDC (Centers of Disease Control and Prevention), the mouth masks are the main protective equipment used by the dentist to avoid the transmission of the infection while using mechanical instruments. This study was done to know the dental importance of wearing a mouth mask while treating a patient in the dental chair.
A Portable Posture Monitoring Device for Gymgoers
Authors: Kumar M , Gurram Hanu Phani Ram , Lochan Srikar P
Published: April 2022

With unprecedented witness in physical exercises, gyms are high in demand with their infrastructure and best exercise equipment to provide proper fitness to its customers. But incorrect posture is one of the overlooked issues that result in acute or chronic injuries while doing improper exercises. Heavy loads and wrong postures during the exercise are not monitored mostly due to insufficient assessment tools or infrastructure. The gait analysis setup makes it impossible to monitor exercise routines in regular gyms due to the space and expenditure. In this study, a wearable device integrated with multiple accelerometers is designed to monitor posture. This portable device can also deliver proper data for routines like squats, bench press, and deadlifts. Using built-in Bluetooth and Wi-Fi, the data can be tracked in real time. The real-time posture data can provide reliable information to the gym coaches for immediate correction remedy.
Internet of Things: Security Vulnerabilities and Countermeasures
Authors: Raghuvanshi Abhishek , Singh Umesh Kumar , Kassanuk Thanwamas , Phasinam Khongdet
Published: April 2022

People's lives will be transformed by the Internet of Things (IoT), which connects everything from smart phones and sensors to the cloud to mobile apps and web-based controls. Security concerns are on the rise as the number of heterogeneous devices and data processing grows. Most IoT apps and devices are also well-known for their security flaws, making them vulnerable to many forms of attacks. To further complicate matters, threats have variable consequences on the device's security and quality. Unfortunately, enterprises are having difficulty determining which risks they face from their data assets and how to mitigate them. To better identify IoT security risks, this article has built a taxonomy based on the application domain and the design of the architecture. Servers, clients, IoT development boards, sensors, cloud subscriptions, and other components all play a role in this test setup. Vulnerability and network host scanning technologies are used to obtain raw data relevant to IoT-based smart city projects. This article also includes a mitigation approach for IoT network flaws.
Optimization of Floating Time of Floating Tablets to be Used for Peptic Ulcers
Authors: Rajora Anjali , Nagpal Kalpana
Published: April 2022

The purpose of this work is to optimize the FT and FLT of floating tablets loaded with a model drug by using central composite design, a quality by design approach. The tablets are the most acceptable unit solid dosage forms. They have maximum compliance by the patients. Floating tablets are prepared to maximize the FT of the drug in stomach. The FT and FLT are important parameters that determine the overall performance of the tablet. The resolution behind this study was to investigate the influence of two independent variables (concentration of menthol (X1) and heating time (X2)) upon two dependent variables (FT (Y1) and FLT (Y2)) using central composite design. This work was useful for optimization and design of floating tablets using model drug with psyllium husk and sodium bicarbonate in order to produce effervescence tablets were prepared by direct compression method. A total of 13 batches were prepared, as suggested by the design expert software.
A Extensive Study on DDosBotnet Attacks in Multiple Environments Using Deep Learning and Machine Learning Techniques
Authors: Jeeshitha J , Rao G Rama Koteswara
Published: April 2022

Every organization provides security for their systems, servers, and other I.T. infrastructure resources using regular anti-viruses and malware detection software. With the increase of access to smart devices and appliances through secured and unsecured networks, there is a requirement to design an intelligent detection tool using deep learning techniques to handle complex vulnerabilities efficiently. The system should have the capability to prevent and control attacks from unreliable sources. The system administrator should immediately notify the system administrator—the proposed research studies about the DDoSBot net attacks in IoT devices. BotNets are Zombie servers, which can attack an extensive network with its automation process by designing a combination of prevention and detection mechanisms in a virtual environment that can access the cloud environment.
Efficacy of Deep Learning Models in the Prognosis Task
Authors: Kumar N Senthil , Kumar K Mohan
Published: April 2022

Deep learning model is an improved version of machine learning technology which brings out the efficiency much better on multivariate data. Deep Leaning models are performed actively and powerfully than current machine learning models. It triggers computational model to learn automatically from the given data at multiple levels. The reputation of deep learning is progressed on today’s large volume of data set and the advancement of hardware that provides potential computing systems. This article analyzes various deep learning models based on the architecture, activation functions, merits, and demerits in a novel way.
Investigation of the Lung, Hospice Care, and Standard of Living of Patients with Chronic Obstructive Pulmonary Disease who are Nearing the Final Stages of their Lives
Authors: Batham Anchal , Jha Rakesh Kunar , Dawande Pratibha , Bankar Nandkishor , Kapse S.R.
Published: April 2022

Chronic obstructive pulmonary disease is a significant source of illness and death across the world. For several patients, maximum COPD treatment provides only little or no comfort from debilitating symptoms, resulting in a substantially decreased quality of life. Many patients receive little palliative care, despite the substantial morbidity and death associated with severe COPD. This is due to a number of factors. First, communication between patients and physicians concerning palliative and end-of-life care is rare and sometimes of low quality. Second, the difficulty in communicating about end-of-life care for COPD patients is exacerbated by the ambiguity in estimating prognosis. So, many patients and their relatives are unaware that severe COPD is usually a progressive and fatal condition. Improving communication is a critical step toward improved palliative and end-of-life care for these individuals. Conclusion: The needs of patients of COPD are still unanswered and unconsidered. We still don't have the necessary stats and facts, and the quality of life is bad. They, like lung cancer patients, require calming care. End-stage COPD patients demand more comprehensive, patient-centered treatment than they now receive.
Significance of Renewable Energy Sources for Future Technologies Built on Geographical Conditions and Period of Seasons
Authors: Jyothi B , Pabbuleti Bhavana , Thirumala Rao B
Published: April 2022

An endlessly developing population means a constant rising necessity of energy for their needs. Currently, high usage of energy can’t be repudiated. Energy sources can be generally categorized as conservative and non-conservative energy sources. Major terrible fact of non-renewable sources will ultimately reduce in day by day due to the over usage of energy sources by all human needs. The significance of renewable sources cannot be underrated. The most essential feature while using that, it is not harmful to atmosphere. This paper momentarily explains the significance of non-conservative energy sources extension towards the background of the fossil fuel problem. The main importance and usage of non-conservative energy sources for DC and AC applications are presented in this paper and also enlist the maximum power that can be produced by various renewable energy sources based on geographical conditions and seasons.
A Study on Khadi: A Swadeshi Fabric Among the New Era
Authors: Parashar Shruti
Published: April 2022

Khadi is a thread, which connects both the ancient and new era. Khaddar was the previously known name for khadi stuffs. It significantly cares about the rural artisans to earn their source of revenue; khadi immerges as a fashion material, leading Indian designers like Sabyasachi and the young designer’s fashion shows forcing fashion world to take serious note of it in India as well as abroad. Therefore, paper attempt has been made to discover the awareness about khadi among college youth. A small survey was conducted in the college where the students wear khadi cloths and the reviews they gave regarding the style, quality, on price they purchase, and even as a status symbol and the khadi shop sponsored by KVIC in the Banasthali University itself is being analyzed in this study. From the responses that are received from survey, it was observed that khadi can no more be neglected and it is soon becoming a fashion symbol.
Threat Intelligence Model to Secure Iot Based Body Area Network and Prosthetic Sensors
Authors: Sharma Durgansh , Singhal Tarun Kumar , Singh Deepak
Published: April 2022

This research work proposes a threat intelligence model for Internet-of-Things (IoT) sensors-based Body Area Network (BAN). It is focused primarily to be used in healthcare monitoring of vital parameters of critically ill patients and on the contrary performance measurement system for healthy sportspersons. The end-point control based applications are growing enormously with the advent of IoT based sensors and actuators being used in intelligent real-time systems. At the same time, it is expected to keep the ecosystem safe for the user while delivering the constant updates. However, the process for the monitoring health and wellness parameters of a patient, or measuring endurance and performance of a sportsperson, it remains vulnerable without a secure environment. Using the proposed model, the entire healthcare ecosystem may be designed for the personalized medication of a patient who are using sophisticated life-saving device like prosthetic heart valve or an elderly person dependent on medical-aided ambulatory devices or a sportsperson on performance measurement system.
Psychosocial Health, Family Life Satisfaction, and Coping with Stress Among Emerging Adults
Authors: Nandini P , Jayakumar K N
Published: April 2022

The world at present is faced with the COVID-19 pandemic subjecting billions to unprecedented changes, uncertainties, and stressful challenges in life, especially among the youth. This study focuses on examining the psychosocial health, family life satisfaction, and stress coping abilities of emerging adults. A total of 280 participants in the age group of 18 to 25 years were procured through random sampling. Participants completed Duke Health profile, family life satisfaction scale, and coping with stress scale. Descriptive and inferential statistics were employed to analyze the sample data using SPSS version 26. Results revealed a positive relationship among psychosocial health and family life satisfaction and stress coping. However, family life satisfaction was not found related to stress coping among emerging adults. Gender differences were evident and regression analysis further revealed some crucial findings which are discussed in the main article along with the implications of the study.
Baseband Modeling of Superconducting RF Cavity in Digital Domain
Authors: Sharma Ashish , Sahu Bhuban Kumar , Kar Subrat
Published: April 2022

Modern day particle accelerators use resonating RF cavities to generate high electric field for enhancing the kinetic energy of particles for beam acceleration. These RF cavities are made using normal conducting or superconducting material. A closed loop control electronics is applied to maintain stability of the field gradient inside the cavity in terms of its amplitude and phase. Normal conducting mode has more control bandwidth than the superconducting mode and this makes it a difficult process. Another important requirement for achieving superconductivity is the usage of huge amounts of liquid nitrogen, liquid helium, and high degree of evacuation. Developing and testing of any control electronics for such cavities in poses a big challenge since multiple test iterations are desired, which is not economical or sustainable due to associated infrastructural needs. So, in order to perform iterative design, development and deployment in an economical and sustainable manner, cavity simulators are used to mimic the behavior of the cavity characteristics in terms of its electrical and mechanical parameters. In the present paper, the electrical and mechanical model of a superconducting RF cavity is mathematically built on the Simulink platform of MATLAB. The models are then converted to fixed point format and tested on a FPGA device to develop a digital equivalent of a superconducting RF cavity.
A Review on the Impact of Using E-Games for Social Development and Language Acquisition in the English Classroom
Authors: Darvenkumar T , Anitha Devi V
Published: April 2022

Game-based learning can be utilised by instructors to improve the language skills of learners. The research investigates the relationship between game-based language learning and social development in the context of Education for Sustainable Development (ESD). E-games appear to be the most effective technique for stimulating interactions in the language learning process. E-games give freedom for the learners to explore, fail, and manage one’s own involvement and experience. Knowledge acquisition, content understanding, as well as affective outcome and motivation, were the most commonly occurring outcomes and impacts. The purpose of this study is to show E-games are a smart language learning environment. The research questions focus on the impacts of using E-games to develop cognitive ability, equitable quality, and language skills in the English classrooms. The objectives of this review paper identify the cognitive ability, motivational level, social interactions, interest, and impacts of using E-games to develop language skills. The possible findings suggest that using E-games can be effective in language acquisition, cognitive ability, and social development.
Stakeholders’ Attitudes, Challenges Met and Perceived Institutional Practices on the Continuing Programs Accreditation of Jhcsc System
Authors: Pepito Rey Sumalinog , Bianan Ruther Dela Torre , Lopez Rhea Dapat , Reyes Angelee
Published: April 2022

The call for globalization and standardization of HEIs in the country has been the befitting cause for quality assurance. To survive the battle, SUCs, specifically have to subject themselves to the challenges and opportunities of accreditation. This study was conducted to determine the stakeholders’ attitudes, challenges met and perceived institutional practices on the continuing programs accreditation of J.H. Cerilles State College. The study utilized the descriptive-correlational method with the questionnaire-checklist as the main instrument in gathering the needed data from the 335 respondents chosen purposively, to include: administrators, faculty, staff, students, and external stakeholders. The study revealed that the respondents had a high extent of involvement in the accreditation of JHCSC. Organizing the Parent-Teacher Association (PTA) well to support the institution’s efforts was their best practice. School personnel possessed positive and desirable attitudes toward accreditation. Likewise, preparation of documents and administrative support and facilities were the much serious challenges encountered by taskforce members. Moreover, the respondents’ attitude and their extent of involvement toward the continuing programs accreditation of the college is significantly correlated while an insignificant difference existed on the attitudes among the five groups of respondents. Thus, it is highly recommended that the administration and other stakeholders give full financial and manpower support for the institution’s accreditation endeavor. KEYWORDS: Quality Assurance, Accreditation, Institutional Practices, Challenges, Attitudes, JHCSC, descriptive-correlational design, Philippines
Vatariguggulu: An Ayurvedic Care of Amavata, Sandhigatavata, and Grudhrasi
Authors: Sathavane Dr. Geeta Vishwanath , Gabhane Dr. Shilpa , Kedar Dr. Komal , Salankar Dr. Harsh , Bankar Dr. Nandkishor
Published: April 2022

Ayurvedais ancient system of life. Drug (Ausadha) is a crucial part of ChikitsaChatushpada[1]having equal importance like physician. It is critical to have a thorough understanding of the drug in order to correctly treat any ailment.For that, in Ayurvedictextsuggestparticular combination of drugs for particular disease.The Ayurveda believes in maintaining the balance of Tridosha in the body to keep person healthy. The effects of certain Ayurvedic preparation with the concerned VyadhiharaDravyas have been explained with their therapeutic actions in the ancientAyurvedic literature. The Pharmacodynamics of these drugs and their compound preparations have been explained on the basis ofRasa, Guna, Virya, Vipaka, and Prabhava. According to Ayurveda, the medicine or provisions that reverses or cut the pathogenesis of disease is best choice for disease to cure.To achieve the desired goal, the ayurvedic medicine can be administered alone or in combination.It is fairly typical for formulations to be extremely effective due to the combined effect of all of the ingredients in the formulation rather than the activity of individual medications.. It has much importance in therapeutics.In Ayurvedic Samhita, Amplearofarherbalarremedyararearmentioned.OneformulationarcanarbearusedarinarvariousardiseasesaraccordingartoarinvolvedDoshaar,Dushya,arStrotasaandarVyadhiavastha.Vatarigugguluisaronearamongarthem.VatariguguluarisareffectivearinarconditionsarlikearObstructedvata(arSamavata)ar,arLumbagoar(Katishool),Sciaticaar(Grudhrasiar),arKhanja,arlamenessPangu,arGoutar(Vatarakta),Odemaar(Shotha),arburningarsensation(Daha)Kneearjointarpainarandarinflammationar(Koshtukshirsha.ItsarTherapeuticarusesarmentionedarinBhaishajyaRatnavaliAmavatachikitsaprakarana.[2]DifferentarstudiesarwerearperformedartoarassessarrolearofardrugVatariGugguluandarremarkablearoutcomearwerearseeninardiseasesarlkeAamavataSandhigataVataandGrudhrasi.ItarhasarqualitiesartoarsubsidearvitiatedarVataarandarKaphadosha.VatariGugguluarisareffectivearinarAamajaarconditions,painardominantarconditionsar(Vedanasthapana)arandarhavingarrejuvenatingarproperties.Thesearpropertiesarmayareasilyarinvadearinarthearpathogenesisarofardiseasearandarultimatearcure.ThereforeartoarassessthearTheurapeuticaractionarofarVaatariGugguluarinardiseasearAmavataar,SandhigataVata,arandGrudharasi,arthesearreviewararwasarplannedarwitharfollowingaraimsarandarobjectives
Correlation Between Pneumonia and COVID-19
Authors: Vagal Rutika , Kapse Ankita , Agrawal Anshu , Kane Shriram
Published: April 2022

COVID-19 has recently been expanded to more than 100 countries and territories worldwide, resulting in widespread alarming. COVID-19 is distributed in batches, mainly through respiratory drops and close contact. Fever, fatigue, and dry cough are the most common symptoms, but they can be severe due to fatigue, sore throat, and headache. Symptoms include runny nose, runny nose, and diarrhea in a few cases. Acute Respiratory Distress Syndrome (ARDS) can develop rapidly if the condition is severe (ARDS). The gold standard for diagnosing COVID-19 is a reversal of the polymerase chain reaction (RT-PCR) and the next generation sequence (NGS). Most cases of adult viral pneumonia were caused by influenza viruses. Coronavirus disease 2019 (COVID-19) is now a dangerous global pandemic. The COVID-19 epidemic is projected to last for several months, coinciding with the influenza season. Conclusion: Mortality ratio and number of infections reported worldwide due to this COVID-19 virus is very high as compared to SARS or MERS. Coronavirus is extremely contagious and communicable, which can be spread among society via aerosols, saliva droplets, and close contact with infected person and surfaces. Self-isolation and quarantine are the initial and result oriented protocols which are required to be followed, along with paramedical observation to avoid future transmission of this disease. This disease has become very serious issue of concern in positively tested elderly patients and become warning signals around the globe.
Can AR, VR, and Gaming Be the Future of Physiotherapy Education and Training?
Authors: Punyani Sudaksha , Kahile Milind , Kane Shriram
Published: April 2022

With technology getting updated and enhanced every day, Augmented Reality (AR) and Virtual Reality (VR) are becoming popular in almost all the sectors. However, how much involvement of technology can one expect in fields such as physiotherapy? The answer probably is a lot! From telerehabilitation to immersive VR therapy and gamification of physiotherapy, the options are endless. Technology has barely ever failed to catch attention of the young as well as adults. From a one-year-old infant to a seventy-year-old man, each one of us is attracted to technology. The idea that one can actually play virtual reality games as a part of rehabilitation is probably the most happening method of rehabilitation one could only think of in their dreams.
GPS Orbit Determination for Glacier Height Monitoring Satellite
Authors: Pattanashetti Vinay , Kuppusamy Ashok , Bista Nishesh
Published: April 2022

Glacier height is determined by the range and orbit height of the satellite. The Range (R) is measured between the satellite and the surface of glacier using a space-borne altimeter. The satellite orbit height (H) is measured from the reference ellipsoid using Global Positioning System (GPS). The difference of orbital height and the altimeter range (H-R) is termed as the glacier height 'h.' Accuracy of the glacier height depends on the precise measurement of both orbital height and altimeter range. The orbital height measured using GPS is accurate compared to all the other tracking systems available. The optimal estimate of the satellite position is obtained using the ODTK tool by setting the mathematical model of the equation of Low Earth Orbit (LEO) satellite and the GPS measurements by applying Kalman filtering.
Targeted Drug Delivery Using Graphene Quantum Dots: Approaches, Limitations and Future Perspectives.
Authors: George Deepak , Suri Anirudh , Dutta Khushboo , Nayak Sunita
Published: April 2022

This mini-review centers on the framework of GQDs to function as a drug delivery system (DDS), that is both target-specific and efficient. Researchers exploit GQDs for the unique pharmacokinetic properties they possess, that make them an ideal multi-functional drug delivery vehicle. We cannot enhance the therapeutic efficacy of drugs merely by focusing on drug delivery mechanisms. The conjugation of the drug with GQD allows more flexibility in controlling the kinetics and circulation time of drug in the body, the characteristic which is highly regarded in modern therapeutics. GQDs possess properties such as enhanced water solubility, lower cytotoxicity, tunable photoluminescence properties, larger specific surface area, large surface to volume ratio, and ease of surface functionalization, which make them highly effective drug molecular loading cores. Also, the review addresses the various methods of synthesis of GQDs, that include top-down and bottom-up approaches; top-down modes being more feasible and advantageous. The review touches on the various modes of GQD drug-loaded delivery- release systems (DDRS). The review also addresses the limitations associated with drug delivery using GQDs. Insufficient information about the translocation of GQDs limits their application in biomedical field and make it difficult for GQD-based carriers to pass clinical trials. Through this review, we look to summarize the important concepts of drug delivery using GQDs, and their biomedical applications and scope in nanomedicine in foreseeable future
“Assessment of Patients Waiting Time in Radiology Department (X-RAY) in Avbrh Hospital, Sawangi (M), Wardha”
Authors: Bahe Shivam , Kanyal Deepika
Published: April 2022

Background:- The contribution of wide variety and levels of services makes the radiology department a very composite network to run . The well managed radiology department is seen within patient spending less time before investigation. Previous research on the patient's dissatisfaction with health care services appears that they are providing patient centred care and covers the amount of time consumed with the health care professional, enthusiasm of the technician to listen the problem of patient, and hope for treatment . prolong patient pre-investigation times have been figured out as the crucial cause of affecting the satisfaction with health care facility’.The average time period spent from reporting till dispatching the report/films was determines to the overall patients satisfaction. The aim of the survey is to “Assess the Patients Waiting Time in the Radiology Department (x-ray) in AVBRH , Sawangi (Meghe), Wardha. Objectives:- To assess the patients waiting time in the radiology department (x-ray) in AVBRH hospital, Sawangi (Meghe) Wardha. To determine the patient satisfaction with the radiological services provided in AVBRH hospital, Sawangi (Meghe) Wardha. To find the solution to overcome the long patient waiting time in radiology department in AVBRH Hospital from patients and radiographer’s perspective. Methodology:- The study was a prospective cross-sectional survey research.Primary source : Questionnaire based survey Expected Results:- The expected outcome should be the waiting time is less and outcome is come efficient which should not cause dissatisfaction among patients and therefore should not require a solution to solve the overall long waiting time
Simultaneous Determination of Nickel and Cobalt in Nanogram with 5-(2’ -Carboxyphenyl) Azo-8-Hydroxyquinoline by First Derivative Spectrophotometry
Authors: Bharati Avinash , Saran R.
Published: April 2022

A novel, extremely sensitive, first derivative spectrophotometric method has been developed for the simultaneous determination of nickel and cobalt with 5-(2’-carboxyphenyl) azoxine (R). R forms complex with the elements with overlapping spectra in aqueous medium at pH 5.2-6.1. The sensitization is achieved by use of non-ionic surfactant, Triton X-100. Color of the cobalt complex fades within 45 minutes, but the presence of nickel increases its stability appreciably making it difficult to determine nickel in presence of cobalt. The use of first derivative achieves selectivity to enable simultaneous determination of nickel and cobalt in presence of each other in the range 4.72 ng ml-1 to 235 ng ml-1 for nickel and 23.56 ng ml-1 to 235.6 ng ml-1 for cobalt by enhancing sensitivity of the already sensitized reaction with Triton X-100. The analytical characteristics of the analytical methods for the determination of nickel and cobalt compare favorably to that of ICP-OES. The method has been successfully applied to mixtures of nickel and cobalt in the varying ratios in the range studied, their alloys (in % range), and in house soil samples (in ppm range) with good precision and accuracy.
State-of-Art of Face Shields Manufactured through Additive Manufacturing, Issues and Mitigation Approaches
Authors: Kaushal Rajesh Kumar , Kumar Naveen , Singh Simranjeet , Khare Akhilendra , Singh Harmaninderjit
Published: April 2022

Recently, protective medical equipment like face shields and face masks played a vital role during the pandemic situation. Even international health organizations also suggested using face masks and face shields. The medical equipment manufacturers were not ready to fulfill the sudden market demands due to this pandemic. As a result, medical institutions faced a shortage of such protective equipment. In this situation, additive manufacturing turned into a supplementary manufacturing process to fulfill the touchy needs and to facilitate the wellbeing around the world. This study is disclosing the present state of art with respect to face shields manufactured through additive manufacturing. This study found that face shields manufactured through additive manufacturing approach were lacking in the technology intervention and also observed that anthropometric dimensions were ignored while manufacturing such face shields. The unique contribution of this study is to propose a technological advanced face shield by introducing electronic sensors into it and that too by considering anthropometric dimensions of Indian male and female head size.