bluuebunny/crossref_metadata_2025 huggingface dataset:
POTENSI KONFLIK DI KABUPATEN TULANG BAWANG BARAT
Authors: Ciciria Deri , Akeh Ketut , Magrilisa Magrilisa
Published: September 2022

Masyarakat kabupaten Tulang Bawang Barat memiliki keanekaragaman suku dan agama yang juga sangat dipengaruhi daerah disekitarnya. Setiap suku yang berada di kabupaten ini berjejaring sosial dan terkoneksi secara primordial dengan suku di wilayah lain khususnya yang wilayah perbatasan kabupaten Tulang Bawang. Penelitian ini bertujuan untuk mengetahui potensi konflik di kabupaten Tulang Bawang Barat. Penelitian ini dilakukan dengan menggunakan pendekatan deskriptif kualitatif dengan menggunakan metode telaah informasi melalui wawancara, observasi langsung dan dokumentasi serta ditunjang dengan studi kepustakaan. Teknik analisis data dalam penelitian ini menggunakan Analysis Interactive Model dari Miles dan Huberman. Populasi dalam penelitian ini adalah seluruh masyarakat kabupaten Tulang Bawang Barat, sedangkan sampel terdiri dari 8 Kampung/ Tiyuh. Berdasarkan hasil penelitian, maka dapat disimpulkan bahwa potensi konflik di kabupaten Tulang Bawang Barat meliputi: 1) potensi konflik berdasar atas kegiatan ekonomi, dimana pengelolaan lahan HTI yang melibatkan masyarakat antar suku telah memicu tumpang tindih pengelolaan sehingga berpotensi menimbulkan konflik berbasis SARA. 2) potensi konflik berdasar agama dan sosial budaya, fenomena ini seperti gunung es dimana mayoritas agama yang di anut masyarakat kabupaten Tulang Bawang Barat adalah Muslim, namun masyarakat yang beragama lain memiliki basis di sekitar wilayah perbatasan kabupaten. Perbedaan agama mengakibatkan perbedaan tuntunan teknis dalam kehidupan masyarakat yang sangat rentan terhadap potensi konflik. Perbedaan adat dan budaya antar suku dalam masyarakat juga mengakibatkan perbedaan pola dan aturan kehidupan, sehingga memicu terjadinya berbagai macam persinggungan. Pendidikan di masyarakat menjadi jalur penting dalam meresolusi konflik, karena hanya melalui pendidikanlah keterbukaan pemikiran dibangun sehingga membuka cakrawala toleransi dalam keberagaman.
PENERAPAN NILAI-NILAI AFEKTIF DALAM PEMBELAJARAN IPS: STUDI KASUS PADA GURU IPS DI SMPN 3 NEGERI AGUNG
Authors: Ratminah Ratminah , Hamer Wellfarina
Published: September 2022

Tujuan dari penelitian ini adalah untuk mengetahui penerapan nilai-nilai afektif dalam pembelajaran IPS di kelas IX C SMPN 3 Negeri Agung. penelitian ini merupakan penelitian deskriptif kualitatif. Subjek penelitian ini adalah guru IPS Kelas IX dan peserta didik kelas IX C. adapun metode pengumpulan data yang digunakan dalam penelitian ini yaitu wawancara, observasi dan dokumentasi dengan sumber data utama yaitu guru IPS Kelas IX. Triangulasi teknik dan sumber digunakan untuk menjamin keabsahan data. Kemudian teknik analisis data berpedoman pada teori Miles dan Huberman yaitu reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa penerapan nilai-nilai afektif dalam pembelajaran IPS di SMPN 3 Negeri Agung telah dilaksanakan dengan semaksimal mungkin. Penerapan nilai-nilai afektif yang dilakukan guru IPS dimulai dari sikap pendidik dalam pembelajaran sangat professional dan selalu memberikan contoh yang baik, menguatkan minat belajar peserta didik dalam pembelajaran IPS dengan mengaitkan materi kedalam kehidupan sehari-hari serta menggunakan metode mengajar yang sesuai. Nilai yang terkait ranah afektif peserta didik mencapai 85% dilihat dari indikator sikap, minat, nilai dan konsep diri.
Determining Appropriateness of Antibiotic Therapy in Nursing Home Residents: A Review
Authors: Mylotte Joseph
Published: September 2022

Upwards of 70% of nursing home residents receive at least one course of antibiotics yearly but as many as 75% of these courses have been considered inappropriate. In response to this potential overprescribing of antibiotic nursing homes are now required to have an antimicrobial stewardship program to monitor and improve prescribing. However, determining appropriateness of antibiotic therapy in the nursing home setting has been a major challenge. The objectives of this review were to identify and review studies of appropriateness of antibiotic therapy in nursing homes with special focus on the criteria utilized for determining appropriateness. Of the 30 studies identified in the literature review, 50% utilized infection surveillance definitions that were not designed to assess appropriateness of antibiotic therapy in individual residents. There was also variation in the size of study populations, study design, and criteria for identifying the study population. These limitations not only make comparisons among studies problematic but also raise concerns about the validity of the findings regarding the level of appropriateness of antibiotic prescribing in nursing homes. Suggestions are provided for the design of future studies of antibiotic appropriateness in nursing homes that focus on standardizing the methodology to minimize the variation observed in the studies in this review.
Stroke Risk Prediction Using Machine Learning Algorithms
Authors: Rishabh Gurjar  , Sahana H K  , Neelambika C  , Sparsha B Sathish  , Ramys S
Published: September 2022

The majority of strokes are brought on by unforeseen obstruction of pathways by the heart and brain. Distinct classifiers have been developed for early detection of different stroke warning symptoms, including Logistics Regression, Decision Tree, KNN, Random Forest, and Naïve Bayes. Furthermore, the proposed research has obtained an accuracy of around 95.4%, with the Random Forest outperforming the other classifiers. This model has the highest stroke prediction accuracy. Therefore, Random Forest is almost the perfect classifier for foretelling stroke, which doctors and patients can utilise to prescribe and identify likely strokes early. Here in our research we have created a website to which model is dumped/loaded, such that the interface will be friendly to the end-users.
A Novel Technique to Investigation of Infectious Diseases
Authors: Uma Dasgupta  , Neha Garg
Published: September 2022

To carry out this research, a systematic review methodology will be used along with three different investigations for viral disease. As the viral disease has various forms of occurrence as they have less infected or highly invested. The recent scenario also very aware about the covid. A systematic review is a well-planned examination to answer research questions using a systematic and clear technique to locate, select, and critically assess the outcomes of prior research studies. When doing a systematic review, it is important to use strict methodological procedures in order to ensure that the results are unique. This thesis investigates two illnesses, one for the purpose of analytical data analysis using machine learning, and the other for the purpose of contaminated area identification using artificial intelligence. There is one additional inquiry that has been initiated for covid Exploration. Data has been gathered constantly from the 10th of March, 2020, and will continue to be collected until the 6th of May, 2021, according to the schedule. The total number of occurrences of the covid case has been represented. For this we used the chaste images (Infected) on which the SVM has been apply with the to detect the affected area. For this we have train the affected area and test on the chaste image. This thesis tries to detect the pattern of the affected area within the images. The detection started with an image-based identification algorithm from the UCI library. The data sets were run via the MATLAB simulator to determine the prediction accuracy using the UCI image data base. Data augmentation is all about adding data points. It refers to the growing dataset. We need to extend the dataset to prevent overfitting. Applying Pneumonia treatment, filtering data conditions, and constructing data may accomplish this. Our models would perform better with additional data. Now we look at the AI work for infected area detection. We utilized virgin photos (Infected) and used SVM to identify the impacted region. Then we test on a chaste picture. The work for the detection of contaminated regions applying artificial intelligence was also studied further in this thesis, according to the results. A clean picture (Infected) was used to train the SVM, which was then utilized to detect the affected area on the image. For this, we trained the affected area and tested it on a chaste image in order to get the desired results. It is the goal of this thesis to identify patterns in the pictures that represent the affected area as shown in the GUI-based Layout by searching for patterns in the images.
Luster Regained : A Novel Cyber Incident Risk Prediction Model Using Machine Learning
Authors: Meghna 'Chili' Pramoda  , Siona 'Dolly' Pramoda  , Zacha M. Ortiz Correa
Published: September 2022

Physical isolation during the COVID-19 pandemic prompted a 45% increase in digital use [5,15], leading to an increase in cyber incidents. This project seeks to understand the risk impact of prolonged internet use and evaluate opportunities for cyber education to lower such risk. In preparation for subsequent work, the project will learn about patterns in distress and the recovery of affected individuals. A 20-question English-language survey (Appendix A) was completed by 6th through 12th graders (n=1,869) across 4 countries.
Analysis of the survey [1, 8, 10, 11, 13] indicated that the number of hours of internet use was a driver of the risk of cyber incidents. In addition to statistical analysis, the methodology used Google’s VertexAI AutoML [6] to generate an ensemble model to predict risk (on n=1 basis) from usage patterns (length of usage, gaming use, etc.). The cyber risk predictor model set has high overall accuracy (f1 score of 0.88) and precision and recall of 0.878. This low-cost approach to personalized risk scores could support periodic evaluation and trending of educational effectiveness in cyber safety. Separately, participants reported a strong association (Spearman’s Rho = 0.957) between distress from cyber incidents and recovery time. Among the respondents with high distress experiences, there is an urgent need to design support programs to help them cope.
Revolutionizing Medical Education with Metaverse
Authors: Dr. N. Kala
Published: September 2022

Metaverse in Healthcare/Medical education has the potential to be an interactive, immersive, and recreational experience tailored to every individual. It can provide new opportunities for healthcare providers to interact with patients in ways that are more intimate. It could for example as walking through a three-dimensional model of the human body with patients, discussing diagnoses and treatments. This would allow providers to simulate the effect of a proposed treatment on the patient’s body before it is applied, creating a more personal and informative experience compared to what is currently possible with two-dimensional images on a screen. This paper focuses on the methods that could be leveraged for revolutionizing the medical education and training using metaverse.
Impact of Security Risks Mitigation on the Adoption of E-Government in Kenya
Authors: Robert Wanyama Kilwake  , Dr. Alice Nambiro  , Dr. Leonard Wakoli
Published: September 2022

Inadequate security risks mitigation is one of the major concerns that is related with the adoption of e-Government in Kenya. Therefore, the purpose of this research was to determine the impact of security risk and how it influences behaviour and intention for using e- government services. The study targeted a population consisting of 612 Bungoma County employees. Specifically, ICT Officers, procurement officers, revenue officers, Chief Officers, finance officers and suppliers. A survey research design that provided a quantitative or numeric description of trends, attitudes, or opinions of a population was used. Purposive and random sampling were used and data was collected through content analysis, questionnaires, questioning protocol, and interview and think-aloud protocol. Face validity and content validity was done to ascertain the validity of the research instruments. Data were analysed using both statistical and narrative analysis, validity and reliability and the generalizability and transferability of data collected. The study found that the county government was committed to ensuring quality performance metrics through software development and safe business metrics. The study assessed the effect of security risk mitigation on adoption of E-government in Bungoma County through Availability, Disclosure of information and Confidentiality of the E-government users. The study concluded that County governments trusted their employees when disclosing information to the public. The study found that there was a significant contribution of security risk mitigation measures to the adoption of E-government. The study will benefit the following organizations, County Governments, National governments and also researchers for their further research in the areas of security risks in E-government system.
Spatial Panel Data Model of West Java's Regional Revenue
Authors: Tiyas Yulita
Published: September 2022

The spatial panel data model is the construction of a regression model that is used to explain the spatial dependence on panel data. Space dependence may apply between adjacent areas, as in the economic field. This should not be ignored because if the freedom between regions is not fulfilled. The spatial panel data model may be in the form of a SAR, SEM or GSM model. In this study, the spatial panel data model is used to model regional income in districts/cities in West Java, the results of the analysis obtained are that the SEM model with random effect is the best model because value of R^2-adj is 97.64%.
Stress Wave Propagation in Bamboo Solid Bar
Authors: Rithik Manju P  , Shreya Jennifer  , Moula S H  , Lokesha G  , Mujeeb Pasha
Published: September 2022

Studies on stress waves in solids and liquids, and shock waves in gases are topics to the specialists in our country, find only in very few places in our engineering curriculum. This paper narrates stress wave propagation in solids (bamboo) in general and stresses in compression test using Universal Testing Machine. Theoretical fundamentals for studying stress waves in bars are briefed. The experimental stress-strain results for ball-bar impact on bamboo solid material were studied and discussed. Also uniaxial compression test was carried out on solid bamboo material.
Bluetooth Based Home Automation Using Arduino
Authors: K. V. Subathra  , R. Goodwin  , E. G. Abhishek  , A. P. Raahul Krishna
Published: September 2022

The world is moving fastly towards automation. People have less time to handle any work so automation is simple way to handle any device or machine will work to our desire. This paper aim is to develop and design a Home automation using Arduino with Bluetooth module. Home automation system gives a simple and reliable technology with Android application. Home appliances like fan, Bulb, AC, automatic door lock are controlled by Home automation system using Arduino Uno with Bluetooth module. The paper mainly focuses on the monitor and control of smart home by Andorid phone and provide a security based smart home, when the people does not present at home. This paper motive is controlled home appliances in smart home with user friendly, design at low cost, simple installation.
Analysis of Machine Learning and Deep Learning Models to Classify ASD Using fMRI
Authors: Dr. Kavitha Jayaram  , Namya Shrinidhi Sharma  , Pooja Basker  , Sagarika S.  , Sridevi V. Aithal
Published: September 2022

Diagnosis of autism spectrum disorders (ASD) is a complex task, the solution of which usually depends on the experience of the physicians due to the lack of specific quantitative biomarkers. Machine learning and Deep Learning approaches are increasingly being used as a diagnostic tool for ASD classification, with the potential to improve discrimination validity among ASD and typically developing (TD) individuals. This paper describes the use of feature selection and two classification techniques to successfully distinguish between individuals with ASD and individuals without ASD, using data from a large resting-state functional magnetic resonance imaging (rs-fMRI) database.
Pollen Diversity of Sri Ram Narayan Khedia Government Degree College Banswada, Kamareddy District, Telangana State, India
Authors: S. Pratignya  , S. Ganneshwar  , T. Manjusha  , T. Saisravya  , K. Umarani  , D. Rajesh
Published: September 2022

The present paper study on the study of pollen diversity of 31 plants from various gardens of Sri Ram Narayana Khedia Government Degree College Banswada, Kamareddy district, Telangana state, India. These plants some are medicinal, ornamental and tree members. The pollens of these plants have diversity of morphological characters viz., symmetry, shape, polarity, aperture patterns and sculpture. In the present study, a total of 31 plant species belongs to 19 families. The plants with Spheroidal shape pollen Catharanthus roseus, Lantana camara, Bougainvillea spectabilis, Tridax procumbens, Pseuderanthamum, Ixora coccinea, Jasminum sambac, Hibiscus rosa-sinensis, Pulmeria alba, Euphorbia heterophylla, Cynodon dactylon, Ghompherna celosioides, Hibiscus syriacus, Tecomaria capensis, Turnera ulmifolia, Punica grantum , Cleome gynandra, Oxalis dilenii, Nerium oleander, Ghompherna globosa, Datura stramonium, Jatropa integrerrima, Cyanthillium cinereum, Delonix regia, Tecoma stans . The plants with Symmetrical pollen is Parthenium hysterophorus. The plant with Irregular pollen shape is Callaindra. The plants with Cylindric pollen shape Bauhinia racemosa, Crossandra infundibuliformis. The plant with Boat shaped pollen is Hymencallis littoralis, are repotted. This plant species diversity record which is helps to the identification of Indian pollen flora.
A Systematic Review of Deep Learning Based Online Exam Proctoring Systems for Abnormal Student Behaviour Detection
Authors: Muhanad Abdul Elah Abbas  , Saad Hameed
Published: September 2022

In the last years, educational technology has advanced tremendously. Increasing numbers of schools and universities are embracing online learning to serve their students better. As a result of the COVID-19 epidemic, students now have more flexibility in their study schedules and may work at their speed to better themselves. AI-based proctoring solutions have also grabbed the industry by storm. Online proctoring systems (OPS) generally employ online technologies to ensure that the examination is conducted in a secure environment. A survey of current proctoring systems based on artificial intelligence, machine learning, and deep learning is presented in this work. There were 41 publications listed from 2016 to 2022 after a comprehensive search on Web of Science, Scopus, and IEEE archives. We focused on three key study questions: current approaches for AI-based proctoring systems, techniques/algorithms to be employed, datasets used, and cheating detection methods suggested in such systems. Analysis of AI-based proctoring systems demonstrates a lack of training in using technologies, methodologies, and more. To our knowledge, Machine Learning or Deep Learning-based proctoring systems have not been subjected to such a study. From a technology standpoint, our research focuses on detecting cheating in AI-based proctoring systems. New recently launched technologies are included in this review, where these technologies potentially substantially influence online education and the online proctoring system.
The Rainbow-Vertex Connection Number [RVCN] of Subdivision of Certain Graphs
Authors: Dechamma K. K.  , Dr. Rajanna K. R.
Published: September 2022

Rainbow-Vertex Connection Number [rvcn] is computed for some graphs by the researchers. Here we have considered the subdivision graphs of certain graph classes. The rainbow edge connection number of subdivision of Triangular snake graph was already found[1]. Using the definition of rainbow-vertex connection number [5], which is the smallest positive integer k such that the graph is rainbow-vertex connected, we find the rainbow vertex number of subdivision graph of Friendship graph ,, Triangular snake graph and Comb graph .
Performance Analysis on 2.5 kW CI Engine Using Ethanol-Diesel Blends
Authors: Gaurav Kumar  , Ibrahim H Shah
Published: September 2022

Diesel engines are one of the major contributors of air pollution as they emits exhaust gases like particulate matter (PM), carbon monoxide (CO), nitrogen oxides (NOX); unburnt hydrocarbon (UHC) and other harmful compounds , which are very toxic for living beings as they can cause many diseases ,even cancer. They are even causing damages to our environment. So it is very important for us to switch to a cleaner fuel.
Ethanol secures a special place as it has a lot of advantages over others. Most important reason for using alcohols is: it is cheap, renewable and echo-friendly. In very small blend percentage it has an ability to drive the existing CI engines without modifications. Many researchers’ have concluded that the brake thermal efficiency and brake power due to combustion process in diesel engines can be increased further by allowing the diesel fuel to combine with more oxygen atoms to form better combustion. As ethanol has oxygen atoms, when blended with diesel fuel it improves fuel characteristics. This whole process of addition of oxidants to the diesel fuel can reduce the smoke, carbon monoxide (CO) and unburnt hydrocarbon (UHC) emissions to a great extent.
The objective of this research work is focused mainly on performance analysis of diesel engine by using diesel- ethanol blends. The tests are conducted with a single cylinder, four-stroke, naturally aspirated, 2.5 kW air cooled diesel engine. Present research work is focused on the test conducted on a diesel engine using diesel – ethanol blends by having 5% & 10% ethanol blend with diesel. The performance tests are carried out under normal engine operating conditions and the evaluations are compared with that of diesel fuel. All experiments have been conducted at 0% to 50 % load conditions to study the performance of different proportions of ethanol on CI engine. Overall results of the methods show that with the increase in percentage of ethanol in diesel fuel, highest temperature in cycle kept on decreasing also exhaust gas temperature goes on decreasing. Power developed and torque also increases with increase in percentage blend.
Power Prediction of Wind Turbine Based on The Presumed Shape of Power Curve
Authors: S. A. Kamilu  , L. Olatomiwa  , M. D. Abdulhakeem  , I. A. Solomon
Published: September 2022

An accurate model of power plays a crucial role in turbine energy assessment, wind turbine condition monitoring, estimation of wind energy potential, warranty formulations, power forecasting, wind turbine selection, optimization of the operational cost and expansion of windfarm. To achieve all these, algorithms of linear and cubic law models are used to predict the output power of BWC Excel 10 wind turbine. The comparative results show that the considered models can approximate and satisfactorily predicts the output power of wind turbines when compared with fundamental equation of wind turbine that depends on stringent factors like air density, turbine blade parameters, mechanical and control issues etc to yield similar results.
Available Legal Regime and The Use of Mercury for Small-Scale Gold Mining in Ghana
Authors: David Asumda  , Prof. Francis D. P. Situma  , Dr. Kariuki Muigua  , Dr. Shirazu Issahaku
Published: September 2022

The aim of this study was to examine the effects of mercury (Hg) and available laws to regulate its use in the Artisanal and Small-Scale Gold Mining (ASGM) Community in Ghana. Research shows that the use of Hg in the ASGM causes damage to the cognitive and neurological function of the miners, as well as to the physical and mental disabilities to children in the ASGM communities. Furthermore, number of publications also shows that the use of Hg causes significant damage to water bodies and the environment in most mining communities. Additionally, in an attempt to protect the environment from these high levels of Hg in these mining sites and beyond, has led to some conflict and military intervention. Even though, Ghana has adequate laws to regulate Hg use by reducing and where feasible eliminate the use of Hg for small-scale mining. However, due to some legal limitations to the current situation there is the need to amend some of these laws to help address these challenges. In addition, certain policies, technological and educational initiatives taken to address the use of Hg in our environment, have proven largely ineffective. The results of this study shows that the implementation of mining regulation without careful analysis of mine community dynamics, the organization of activities, operators’ needs and local geological conditions has resulted in some challenges. However, significant improvements can only be achieved in this area if the state and the organs of government tackle the illegal mining “galamsey” menace; introducing cost-effective techniques for the reduction of the use of Hg in mining; effective government sponsored participatory training exercises as mechanisms for communicating information about appropriate technologies and the environment; and strengthening compliance and enforcement of existing laws. In conclusion there is the urgent need to properly regulate the use of Hg in mining communities in Ghana.
Solutions to complete state management for road traffic infrastructure investment in BOT form
Authors: Tuan Hoang Dang  , Linh Hoai Le  , Khuyen Hoang Nguyen  , Vu Phi Le  , Tuong Manh Le
Published: September 2022

This article recommends resolutions to improve the state management of road transport infrastructure investment in the form of BOT (Building - Operate - Transfer) in Vietnam, on the basis of Vietnam's practice and international experience. Accordingly, the group of authors solves 05 basic issues affecting the state management of PPP (Public - Private - Partnership) projects in Vietnam, including: State management’s regulatory documents; State management model, content and management method; Personnels participating in PPP; Financial instruments and management; Investment environment. The authors used qualitative and quantitative research methods to identify factors affecting state management and eliminate duplicate factors and factors with small impacts. Through the multivariable regression equation, there is the general formula Y= ?0 + ?1 X1 +…+ ?n Xn as the basis for the solution system. The conclusions drawn from the study help the state management to get a comprehensive view of the BOT projects that have been implemented in the past time to make adjustments and gradually improve the investment model in the form of PPP in general and BOT in particular.
Performance Analysis of Ejector Expansion Refrigeration System on The Basis of Area Ratio
Authors: Chinmay Mishra  , Sharad Chaudhary
Published: September 2022

Vapour compression refrigeration system is the conventional way existing for the refrigeration these days. Although to overcome the loses in conventional method there are several ways to improve the performance of vapour compression refrigeration cycle. This paper provides an alternative method of increasing the performance by varying the area ratio of the ejector. As Ejector is the most simple and economical replacement of throttling valve. A Simulation model is developed and parametric study of ejector is done. It was found that there will be increase in performance as area ratio is changed. This cycle is named as Ejector expansion Refrigeration System.
An Outline of Wearable Gadgets
Authors: K.V.R Pranav
Published: September 2022

It is envisaged that technology must be made good use in order to make life convenient and comfortable in this 21 st century; more convenient when the gadgets are handy. One of the things is the wearable gadgets to take care of the emergency needs and health care. This article tried revamp the current developments.
Assessing the management of road traffic infrastructure in form of BOT in Tien Giang province from the perspective of traffic safety and investment efficiency
Authors: Nguyen Hoang Khuyen  , Le Hoai Linh  , Le Hoang Son  , Le Phi Vu  , Le Manh Tuong
Published: September 2022

Road traffic infrastructure management and exploitation is a material production industry with both service and technical attributes, directly related to human life, means of transport and other assets. Traffic safety criteria are expressed through the ability to smooth traffic and the safety when traveling. To meet the above requirements, the road traffic infrastructure system must ensure quality in all aspects such as: design - construction - operation management. The Trung Luong - My Thuan expressway through Tien Giang province, invested in BOT form, phase 1, does not meet traffic safety criteria. The route does not have an emergency stop lane for rescue activities in the event of an accident. This is due to the issues in investment project planning, surveying and designing. For that reason, the article evaluates the management and operation of roads invested in the form of public-private partnership (BOT) in Tien Giang province from the perspective of traffic safety and investment efficiency. The, the article points out the gaps of state management in the field of road exploitation, as a basis for proposing solutions to improve the efficiency of BOT road traffic operation in Tien Giang province, Vietnam.
Electrical Safety Related Isolation on Industrial Machines with Multiple Entry Points
Authors: Sathish Kumar R  , Ravi Shankar R  , Sathish Kumar S
Published: September 2022

In industrial machine, there is often more than one entry point that might be used during the operation and maintenance functions. Typically, the lockout/tag-out procedures prior to entering the machine have been done using series-connected conventional load-break disconnect switches. Unfortunately, the required verification is problematic for applications requiring only one disconnect switch and is almost impossible when more than one disconnects switch is applied. Industrial equipment design must include safe methods to allow access for either maintenance or operational intervention. Although the overall safety elements of the industrial equipment design efforts are predominately a part of the mechanical machine’s design, often, the motive forces that must be considered are directly or indirectly associated with the control of electrical energy. Considerations in selecting safe methods for intervention are those associated with ease of use (human factors) and those associated with equipment reliability. This Project new multiple entry point method is proposed industrial machines for Industrial Electrical Safety System.
A Novel Vote Counting System Based on Secure Blockchain
Authors: Mansi Bajpai  , Atebar Haider  , Dr. Alok Mishra  , Dr. Yusuf Perwej  , Dr. Neeta Rastogi
Published: September 2022

It has long been difficult to create a safe electronic voting system that provides the transparency and flexibility provided by electronic systems, while maintaining the fairness and privacy of present voting methods. Voting, especially during elections, is a technique where participants do not trust one another since the system might be attacked not just by an outsider but also by participants themselves (voters and organizers). The traditional methods of voting systems find it challenging to maintain the characteristics of an ideal voting system since there is a chance of tampering with results and disturbing the process itself. As a result, the effectiveness of the voting system is increased by translating the characteristics of an ideal voting system into digital space. It greatly lowers the expense of the elections and the work of the inspectors. In this essay, we'll use the open-source Blockchain technology to suggest a new electronic voting system's architecture. New chances to create new kinds of digital services are being provided by Blockchain. Numerous elements of our life have been altered by Blockchain technology, including the ability to save digital transactions via the Internet, confirm their legitimacy, license them, and provide the greatest level of security and encryption. This system offers a distributed architecture for storing the data, which distributes the data among many servers. In addition to maintaining voter identity outside of the vote count, this technology makes the voting process transparent.
Knowledge, Attitude and Perception Towards Covid19 Among the Indian Population During the End of The Second Wave
Authors: Karthika Rangasamy  , PraveenRaj Rajkumar  , Nivetha Lakshmanan  , Syed Ibrahim
Published: September 2022

Coronavirus is a single stranded RNA virus caused by the SARS-CoV-2 virus. The first case was reported on December 1, 2019 then it was distinguished as coronavirus by Chinese authorities. Covid-19 is different from both MERS-CoV and SARS-CoV and is considered as the seventh member of the coronavirus family that affects people. These spread through droplets or by a virus that may travel in the air from the suspect to the nearby person. Based on the current status it is obvious that the elderly population is most affected. It primarily affects the upper respiratory tract followed by severe pneumonia. This study aims to assess and compare the Knowledge, Attitude and Perception of the general population in South India through a cross-section survey. Questionaries were sent to 800 people out of which 500 responded. The data were collected using google form and the results were interpreted. Among the responses, it was clear that the population has acquired adequate knowledge about the pandemics and they tend to act wisely to overcome them.
IoT Enabled Smart Home and Health Monitoring System
Authors: B. Kiran Kumar  , Mohammed Mubashir Mohiuddin  , Mohammed Rehan  , Mohammed Nizam Uddin  , Mohammed Haroon Khan
Published: September 2022

Hospital patients have a big impact on their health and are more likely to get various ailments if they don't get prompt and effective care. In recent years, it may have been challenging to observe patients. Consequently, a reply is needed. Anytime, wherever, keep track of the patients of your doctor. The solution to this is expected to be invented, according to recent Web of Things (IoT) device events. After our days, health is of the biggest significance. Researchers and practitioners in this field will benefit from this job since it will help them comprehend the enormous potential of IoT in the medical industry and pinpoint significant IoT difficulties.A good level of health is necessary for efficient everyday job. The goal of the project is to create a sensor that can be used with an IOT-enabled smartphone to vividly track a patient's heart rate. This article offers a portable framework that continuously monitors a patient's heart rate, temperature, and various other room-related metrics using a Wi-Fi module. Health monitoring systems and smart homes with IOT capabilities have been presented. Based on the output numbers obtained, the precise sickness from the doctor, even from a distance, and some settings, the system offers access to approved personal data via any IOT platform. The Wi-Fi module can be used to control the space. Users can control appliances from anywhere in the globe thanks to the Internet of Things (IoT).
Consumer Behavior through Online Shop : Continuance Intention Theory Approach
Authors: Ulva Wahyuni  , Dudi Permana
Published: September 2022

This study aims to determine the continuance intention of users' e-commerce of the JD.ID. The object of this research is JD.ID application users who live in Indonesia with the condition that they have shopped online at least twice. The independent variables used in this study are satisfaction, perceived usefulness, and social influence. This study used a survey questionnaire developed from related literature conducted on 130 respondents and a quantitative descriptive method. Researchers used the method of Structural Equation Modeling (SEM) through Partial Least Square (PLS) as a technique used to analyze measurements and structural models. The results of this study confirm that all hypotheses are accepted. It means that satisfaction, perceived usefulness, and social influence have a positive and significant effect on the dependent variable of continuance intention. The higher the satisfaction, perceived usefulness, and social influence value users, the higher the user's continuance intention to do online shopping through JD.ID in the future.
Changes In Different Structures of Eyeball in Ice Syndrome : A Review Study
Authors: Ajeeta Kumari  , Tara Rani  , Niranjan Kumar  , Salal Khan  , Labishetty Sai Charan
Published: September 2022

ICE syndrome (iris corneal endothelium syndrome) is a rare condition that affects the irregular corneal endothelium, which can cause varying degrees of glaucoma.
The proliferative and structural abnormalities of the corneal endothelium, the increasing constriction of the iridocorneal angle, and iris abnormalities such atrophy, correctopia, and polycoria are the hallmarks of the ICE syndrome.
A Narrative review was done to review the articles available on PubMed, Google Scholar, Medline, Publon, Orcid, Healthstar, and others related to ICE syndrome. Peer-reviewed articles/ studies were referred to ascertain the available screening tests, risk factors, physiological parameters, and diagnosis of glaucoma on the basis of ICE, chandler’s syndrome, progressive iris atrophy and management options for ICE syndrome.
This review study provides an overview of the ICE syndrome’s complications, ocular examination, causes and about management options. Thus, the assessment can be easily done by full ophthalmic workup, with vision assessment of refractive error, slit lamp examination, intraocular pressure measurement, and fundus examination. In Gonioscopy findings we will get PAS usually extending to or beyond the schwalbe line.
It is yet unknown what factors underlie corneal endothelial changes and are the primary causes of ICE syndrome. A viral aetiology has been proposed, particularly Epstein virus and Herpes simplex virus.
The initial step in treating corneal oedema is to lower the intraocular pressure inside the eye.
Role of Regulatory Affairs in Pharmaceutical Industry
Authors: Sohail Ahmed  , Sujata Bhati
Published: September 2022

Regulatory affairs in the pharmaceutical Company play an essential function because the pharmaceutical area is growing very fastly and there’s a need of regulatory affairs experts to offer the modern desires of industries for the global competition. A regulatory affair is a career which acts as the interface among pharmaceutical industries and authorities government throughout the international. The purpose of the regulatory affairs expert is the safety of human fitness, ensuring safety, efficacy, and best of pills, ensuring appropriateness and accuracy of product facts. This recent article discusses the evolution of Regulatory Affairs, its function withinside the pharmaceutical company and its involvement for the implementation of regulatory tips which enhance the boom of the company.
Malignant Melanoma Classification using GLCM and SVM
Authors: Shweta M Madiwal  , Vishwanath Burkpalli
Published: September 2022

In today’s modern world, Skin cancer is the most common cause of death amongst humans. Skin cancer is abnormal growth of skin cells most often develops on body exposed to the sunlight, but can occur anywhere on the body. Most of the skin cancers are curable at early stages. So, an early and fast detection of skin cancer can save the patient’s life. With the new technology, early detection of skin cancer is possible at initial stage. Formal method for diagnosis skin cancer detection is Biopsy method. It is done by removing skin cells and that sample goes to various laboratory testing. It is painful and time-consuming process. We have proposed skin cancer detection system using Support Vector Machine (SVM) for early detection of skin cancer disease. It is more advantageous to patients. The diagnosing methodology uses Image processing methods and SVM algorithm. The dermoscopy image of skin cancer is taken and it goes under various pre-processing technique for noise removal and image enhancement. Then the image is undergone to segmentation using Thresholding method. Some features of image have to be extracted using GLCM methodology. These features are given as the input to classifier. Support vector Machine (SVM) is used for classification purpose. It classifies the given image into cancerous or non-cancerous.
A Comparative Study of Detection of Serum Total and Direct Bilirubin by Manual and Automated Methods
Authors: Jagroop Singh  , Dr. Sukhraj Kaur  , Manjinder Kaur  , Dr. Manpreet Kaur Verma
Published: September 2022

Background: Bilirubin is one of the major bile Pigment, clinically and biologically important among the bile pigments present in the mammals. Material and Methods; The Cross sectional study was conducted in department of biochemistry in the collaboration with department medicine in Civil Hospital Tarn Taran. Out of 90 patients, 54 were males and 36 were females. Result; The comparison of Serum Total and Direct bilirubin by Jendrassik & Grof and Automated method was Non- Significant with p value = 0.7788 and 0.5394 respectively. The comparison of Serum Total and Direct bilirubin by Malloy Evelyn and Automated method is Highly Significant with p value =0.0002 and 0.0003 respectively. The mean difference of malloy with jendrassik & grof and automated was 2.394 and 2.162 respectively and the mean difference of jendrassik & grof with automated method was -0.231. Conclusion; It was concluded that a good correlation is found between bilirubin detection by manual and automated method. Non- significant mean difference between Jendrassik & Grof and Automated makes it better than Malloy Evelyn.
Pesticide Consumption, Exposure, Toxicity and Chronic Threats : An Indian Scenario
Authors: Manoj Kumar Solanki  , Sandeep Kumar Soni  , Ankit Kumar Gautam
Published: September 2022

Pesticides are utilized to slaughter the pests, insects and bugs that annihilate the crops to condense its yields. Numerous pesticides are being followed regarding crop security now-a-days. Pesticides are nevertheless gainful for the agronomic activities but it also records numerous depressing impacts on the atmosphere, human being and animal’s health. Excessive exploitation of pesticides might be the root of biological annihilation and environmental interruptions. Aquatic organisms, birds and mammals are in danger because of chemical pesticides. Pesticides therefore fetching an apprehension for atmospheric sustainability, global constancy. It also spoils the proximate nutritional worth and crop yields. In present article emphasis is drawn to inspect the pesticides consumption rate diagonally in states of India, exposure, chronic threats and toxicity occurring because of unrestricted use of pesticides.
Senior High School Students' Learning Difficulties During the Covid-19 Pandemic
Authors: Firda Alyang Luvita  , Zainal Arifin  , Eunike Rose Mita Lukiani
Published: September 2022

The aim of this study was to determine the reasons why high school students were having trouble learning accounting during the Covid-19 outbreak. The findings demonstrated the existence of both internal and external variables. Students' lack of confidence when answering accounting problems and their lack of enthusiasm and drive for studying financial transactions are internal factors. The teacher's boring explanation of online learning, friends who frequently invite you to play, unstable internet connections, and the lack of harmonious communication between children and parents are among the external factors, while the relationship between accounting teachers and students is distant. This study used a qualitative methodology and was carried out in SMA Negeri 6 in Kediri City, East Java Province, Indonesia.
Design of Antennas Using Wireless Mesh Network
Authors: Surabhi  , Dr. K. B. Singh  , Dr. Pankaj Kumar
Published: September 2022

With the increasing demand for QoS and the expansion in deployment scenarios, the issue of designing wireless networks to suitably handle traffic loads has become important. While such issues have been handled in wired networks for backhaul traffic, the problem of wireless network topology design and provisioning still remains in its infancy. The issues discussed in this paper considered together as the problem of wireless network design. Any wireless network to be deployed has to address one or more of these issues.
Study of Inductive Reactance of a Micro Strip Line Structure with The Width Metal Strip
Authors: Dhananjay Prasad  , Kumari Kalpana  , Dr. K. B. Singh  , Dr. Amita Sharma
Published: September 2022

In the field of high energy physics, it is often necessary to accelerate electron beams to velocities close to that of velocity of light. Due to interaction of electron beam with electromagnetic waves, kinetic energy of electron is increased. Microwaves have become very powerful experimental tools for study of some of the basic properties of materials. There are different structures for the propagation of electromagnetic powers in different modes. Also, there are various devices for sending massage or signals from one place to another remote place. In the age of Moughal period pigeons were employed for sending massage. Now in the age of modern science & technology, radios, television, telegraphs, satellite, cell phones and mobiles are used for sending the message from one place to other places how far away the Microwave Integrated circuits (MIC’S) have changed these systems in the present days by replacing large scale waveguides and co-axial component arrays to small light weight assemblies. These introduced microwave striplines, microslotlines, coplanar strip lines and coplanar waveguide etc. The design system used for these circuits has also changed from the early “cut & try” methods, using “ruler and knife” to the computer aided design (CAD).
The Present Paper aims at the study 0f inductive property developed due to propagation of electromagnetic waves through the structure and its dependence on the width of the metal strip and other factors. Such study involves the characteristics parameters such as characteristics impedence and phase velocity and their variations with width metal strip and its utility in designing different planer devices.
Human Right and Indigenous Peoples : Transitional Justice Approach
Authors: Wa Ode Zamrud  , Safrin Salam
Published: September 2022

This research focuses on respecting, recognizing, protecting and fulfilling the human rights of indigenous peoples in Indonesia. Through a comparative law approach in European and Asian countries that have substantially recognized and protected the human rights of indigenous peoples in Indonesia. The problem are how is the model for regulating customary land management by indigenous peoples based on Human Rights and Local Wisdom in terms of Indonesia's transitional justice approach? and Second How can the recognition and protection of the enforcement of human rights over customary land in Indonesia be viewed from the transitional justice of Asian and European countries that have implemented indigenous peoples' human rights?. In its development in European countries, the discussion of indigenous peoples is already at the stage of regulating and fulfilling human rights. There are even special laws that regulate indigenous peoples as well as Asian countries. The Indonesian government is still at a lower level and is still debating the arrangements for the recognition of the existence of indigenous peoples. Even though the discussion of the Bill on Indigenous Peoples at the Indonesian People's Representative Council has entered its second year (President Jokowi). Through a transitional justice approach, this article formulates the regulatory norms for indigenous peoples adopted from several laws of indigenous peoples in European and Asian countries. This is intended to provide a legal framework for the Indonesian government and the Indonesian Parliament to immediately provide legal recognition and protection for indigenous peoples in Indonesia immediately.