bluuebunny/crossref_metadata_2025 huggingface dataset:
“Analysis of Seismic Behaviours of RC Frame Structure With Bracing System and Without Bracing System”
Authors: Prajapati Shivam
Published: June 2022

Abstract: This work time history analysis is carried out for G+23 storey steel frame building with different pattern of bracing system. The member property of beams 300mm X 400mm and columns 300mm X 500mm and ISLB250 sections are used to compare for same patterns of beam, column and bracings. A software package ETABS SOFTWARE is using for the analysis of steel buildings and different parameters are compared. The property of the section is used as IS 456:2016 and per IS 800:2007 which is analysis for various types of bracings like X, V, inverted V, Eccen Forward, Eccen Back and without bracing and Performance of each frame is carried out and studied the comparatively through Response Spectrum Method as per IS:1893:2016. In this study model a G+23 with Square Shape building Plan 52m X 52m, height of each floor is 3.2m and Structure in Etabs software by Response Spectrum Method and Analysis the Earthquake analysis of the Structure in seismic zones III with soil Medium conditions. Parameter Using:Type of Building: RC buildings with and without Steel Bracing System Number of Floors: G+23 (Square Shape Building)Section Property: Beam size 300X400mm, Column size 300X500mm, and ISLB250 sections. Seismic Zone- III, Soil Site factor 2 for Medium Soil, Damping = 5% (as per table-3 clause 6.4.2), Zone factor for zone III, Z=0.16), Importance Factor I=1.5 (Important structure as per Table-6), Response Reduction Factor R=5 for Special steel moment resisting frame Table-7), Sa/g= Average acceleration coefficient (depend on Natural fundamental period)Grade of concrete is considered M25, Grade of Rebar is considered Fe-415, Grade of Steel –Fe-345,Dead Load for Wall = (3.2-0.4) X 0.23X20= 12.88 KN/m
Modelling and analysis of ventilated disc Brakes using Creo and FEA software
Authors: Pradhan Dr. Swastik , M Santhosh , rithvik Palepu , Teja Katkam Ravi
Published: June 2022

Abstract: An important part of a car's safety system is the brakes. Brakes are easily worn, leading to unpredictable disasters. To avoid this, ventilated disc brakes are used, which helps the brakes to work well in stressful conditions and high temperatures. The materials used play an important role in determining performance. The main objective of this research work is to analyze the current design and conduct a suitable brake rotor analysis to improve its performance. Existing brake disc designs are modeled in Creo and analyzed with software. The material grades used in this study were performed on stainless steel, grey cast iron, structural steel, and titanium alloy brake discs using the same brake disc design to determine the best grade. Keywords: ventilated disc brake, creo, thermal analysis, static analysis.
Comparing Context Based Access Control to Zone-based Policy Firewalls
Authors: Altamezvi Alnuman Mohammed Abubaker , Alalwani Abdulwahed Omran E , Alsllami Ashour
Published: June 2022

Abstract: This paper will be introducing a comparative study on the choices between two best classical software firewalls one is Context Based Access Control (CBAC) and Zone Based firewall (ZBF). Both of them may deliver a stateful inspection of TCP, UDP and/or ICMP control packets. Through this study, two type of networks were designed one used the CBAC firewall and the other works with a zone based firewall. The result obtained showed that ZBF has several feature which are not available in CBAC. Furthermore, ZBF deals with the security zones the traffic will be dynamically inspected as it passes through the zone. In order to monitor the network, GNS3 and Wirshrah tools has been used to configure the required network. Then we have used different scenarios to inspect and evaluate the behavior of the network. In this study firewalls were implemented in software not in hardware as separate devices. That is, they are building functions of the routers. In our project, two networks were designed The first one has two areas LAN and WAN, while the second contains three areas LAN, WAN and DMZ. Key Words: CBAC; ZBF; GNS3; Wirshark; TELNET; SSH; HTTP; Ping.
An Automated System for Fruit Adulteration and Fruit Grading
Authors: B Naveen Kumar , Akshay C , S P Abhishek , K Ganadakshaka , Jayanth K
Published: June 2022

Abstract: This research covers deep learning approaches, a supervised machine learning model for fruit illness diagnosis, and a convolutional neural network-based fruit grading system. We employed a Visual Geometry Group (VGG) which is a part of the Convolutional Neural Network (CNN) and it produced an accurate result. Fruit disease detection is a tough task for a manual inspection system, so we have designed a system that detects the fruit disease and grades it. In recent times the machines are incorporated with a high-speed computing hardware device that allows the developers to develop the complex system using different types of machine learning models, and algorithms for better results and near accuracy. Using these advanced models of neural networks, a good model is built for classifying the better fruit. The dataset is taken from kaggle.com, and various sorts of fruit photos were utilized to train and test the model, resulting in an accurate result. Key Terms: Supervised machine learning model, Convolutional Neural Network, Visual Geometry Group, Pre-Processing, Feature Extraction, Classification, Gray Scale Conversion, Noise Removal, Thresholding, and Image Sharpening.
Child Mortality prediction using Machine Learning Techniques
Authors: Venkatesh Dr. S. , B Naveenprasath. , K. G Praveen , K Yogesh
Published: June 2022

Abstract: Children's Mortality alludes to mortality of children younger than 5. The kid death rate, in addition under-five death rate, alludes to the probability of biting the mud among birth and exactly 5 years recent. The mortality of kids in addition happens in embryo. The purpose is to analysis AI based mostly strategies for grouping of mortality vertebrate upbeat characterization brings concerning best truth. The examination of dataset by directed AI procedure (SMLT) to catch a couple of data's like, variable characteristic proof, uni-variate investigation, bi-variate and multi-variate examination, missing value medicines and dissect the data approval, data cleaning/getting prepared and knowledge illustration are done on the entire given dataset. Our examination provides a whole manual for responsiveness investigation of model boundaries on execution within the characterization of vertebrate upbeat. To propose AN AI based mostly and moreover, to seem at and examine the presentation of various AI calculations for the given dataset.
Tracing the Location of Alzheimer\'s Patient Using Location Fingerprinting
Authors: Balasubramanian Vaishnavi
Published: June 2022

Abstract: Alzheimer's disease is the most common type of Dementia in which the person’s memory, behavior, and thinking get affected. This work is majorly focused on helping Alzheimer's patient and the Guardians/Caretakers, who are responsible for the safety of Alzheimer's patients. Trapping the patient inside a care facility or home isn't a solution for them, but at the exact moment, we can’t let them free outside which is way riskier. Therefore, the objective of our work is to design a system that can trace the location of Alzheimer's patient using Location Fingerprinting and intimating the Guardian/caretaker about their location through a Mobile Application. Among all the available approaches in Location Fingerprinting, we are making use of Bluetooth Based Positioning for location tracing within the Apartment or Care facility premises. By using RSSI and Trilateration based techniques in Bluetooth Low Energy (BLE) positioning, we can trace the location and map it into a Map in our Mobile application in terms of Latitude and Longitude. Keywords: Location Fingerprinting, Bluetooth low energy, Trilateration, Alzheimer's, Mobile Application
Hemingway’s The Sun Also Rises and Lostness- An Existential Analysis
Authors: Thakur Kuldeep Singh
Published: June 2022

Abstract: Lostness refers to the disinterested and detached state of mind when it has no goal or aim to project upon. In this state of mind, a person remains floating depending upon the gust of wind. He believes in enjoining only momentary things of life and thereby evading his reality including the sense of transitoriness of life. Under this state of mind, a man’s existence is marked more with unauthenticity and ‘bad faith’. Jake Barnes has lost much before the opening of the novel. The war has rendered him sexually wounded and that causes his alienation from the society. He remains cut off from the main stream of life and remains hanging around cafes that marks his unauthentic mode of life. All the characters have lost themselves in deluding things of life such as alcohol, dancing, sex, travelling different places. All this causes them anguish.
Robert Jordan in Hemingways for Whom the Bell Tolls is For Freedom and Authenticity: An Existential Analysis
Authors: Thakur Kuldeep Singh
Published: June 2022

Abstract: Authentic existence is when we become what we are. Robert Jordan is an American fighting in support of the Republicans in the Spanish Civil War. He is given the task of blowing up the bridge as soon as the loyalists attack. Jordan, placed into this situation, displays authenticity in his existence as he makes choices and decisions and even puts his life into risk. Jordan succeeds in his mission of blowing up the bridge so that the Fascist forces may not use the road. Hemingway introduces a number of elements to increase difficulties in Jordan's way. But Jordan constantly proves his commitment by remaining single-minded and committed to his mission.
Audio Signal Processing
Authors: Borawake Prof. Dr. M. P.
Published: June 2022

Abstract: Audio Signal Processing is also known as Digital Analog Conversion (DAC). Sound waves are the most common example of longitudinal waves. The speed of sound waves is a particular medium depends on the properties of that temperature and the medium. Sound waves travel through air when the air elements vibrate to produce changes in pressure and density along the direction of the wave’s motion. It transforms the Analog Signal into Digital Signals, and then converted Digital Signals is sent to the Devices. Which can be used in Various things., Such as audio signal, RADAR, speed processing, voice recognition, entertainment industry, and to find defected in machines using audio signals or frequencies. The signals pay important role in our day-to-day communication, perception of environment, and entertainment. A joint time-frequency (TF) approach would be better choice to effectively process this signal. The theory of signal processing and its application to audio was largely developed at Bell Labs in the mid-20th century. Claude Shannon and Harry Nyquist’s early work on communication theory and pulse-code modulation (PCM) laid the foundations for the field.
A Semantic Study on Emerging Risk and Security Management in Cloud Computing
Authors: Gaikwad Pratik , Patil Dhanashri
Published: June 2022

Abstract: Cloud computing is a flexible, cost-effective, and proven delivery platform for providing business or consumer IT services over the Internet. However, cloud Computing presents an added level of risk because essential services are often outsourced to a third party, which makes it harder to maintain data security and privacy, support data and service availability, and demonstrate compliance. One of the most significant problems that has hampered the expansion of cloud computing is security. It complicates data privacy, and data protection continues to have an impact on the market. Users must be aware of the dangers of data breaches in the cloud. This study focuses on cloud computing security concerns. Keywords: Cloud Security, Cloud Threats, Cloud Computing, Cloud Risk and Management
Server Room Monitoring System using IOT
Authors: P Susharsan , A S Santhosh , P Suriya Prakash , Kumar Mr. B. Sathish
Published: June 2022

Abstract— Temperature is one of the most monitored items in many industrial and commercial applications. Internets of Things (IoT) temperature sensors are commonly small, low power, and able to measure humidity as well. Obtaining timely, accurate temperature information is critical in an IoT system. This paper aims to evaluate an IoT temperature system’s performance by comparing it with an industrial system. In this project, an IoT temperature monitoring system has been developed using a DHT22 temperature sensor and a Raspberry Pi to represent an IoT temperature monitoring system. The system is evaluated by comparing its temperature measurement with a Keithley 6517-TP industrial grade temperature probe connected to Keithley 2110 benchtop digital multimeter as the acquisition system. The IoT temperature monitoring system utilizing the DHT22 sensor provides accurate measurement up to 0.10C but a slower response in detecting temperature change. This finding would be able to provide a reference in developing an IoT system that requires temperature monitoring. Keywords- temperature, IoT, humidity, raspberry pi, DHT22.
Activity Overlapping Technique for Early Completion of Construction Project
Authors: Gour Deependra , Mudgal B. P.
Published: June 2022

Abstract: An effective and well-known method for the early completion of construction projects is the overlap of the project’s critical activities or phases that would normally be carried out in sequence. The overlapping technique reduces the project completion time with a minimum cost overrun. Overlapping is also called a fast-tracking mechanism. It is risky because it increases the probability of rework resulting in increasing the cost of the project. The Overlapping in construction projects must be carried out effectively because each pair of activities cannot overlap, since some previous activities may not allow overlap due to maximum rework. Various overlapping strategies exist in a construction project which all can result in time-saving. so, the cost of these strategies varies significantly depending on the overall Rework. A favorable overlapping strategy leads to minimal time savings costs. To find such a strategy, the question arises: “Which activities have to be overlapped and to what extent to reduce the project duration at the minimum cost?” This study addresses the question and generates an Overlapping Decision algorithm.
Detection of Cyber bullying on Social Media Using Machine Learning
Authors: Kangane Sara
Published: June 2022

Abstract: In the modern era, the usage of the internet has increased tremendously which in turn has led to the evolution of large amounts of data. Cyber world has its own pros and cons. One of the alarming situations in web 4.0 is cyber bullying, a type of cyber-crime. When bullying occurs online with the aid of technology it is known as cyber bullying. This research paper has surveyed the work done by 30 different researchers on cyber bullying, and elaborated on different methodologies adopted by them for the detection of bullying. Three types of features namely textual, behavioral and demographic features are extracted from the dataset as compared to earlier study over the same dataset where only textual features were considered. Textual features include certain bullying words that if exists within the text may lead to a true outcome for cyber bullying. Personality trait features are extracted for the user if it is involved once in bullying may bully in future too. While demographic features extracted from the dataset include age, gender and location. The system is evaluated through different performance measures for both classifiers used and the performance of the Support Vector Machine classifier is found better than the Bernoulli NB with overall 87.14 accuracy.
Background Noise Suppression in Audio File using LSTM Network
Authors: Patnaik W. Shivani
Published: June 2022

Abstract— In the realm of speech enhancement, noise suppression is a crucial problem. It is especially important in workfrom-home situations where noise reduction may improve communication quality and reduce the cognitive effort of video conferencing. As a result of the advent of deep neural networks, several novel ways for audio processing methods based on deep models have been presented. The goal of the project is to use a stacked Dual signal Transformation LSTM Network (DTLN) to combine both analysis and synthesis into one model. The proposed model consists of two separation cores, the first of which employs an Short Term Fourier Transformation (STFT) signal transformation and the second of which employs a learnt signal representation, This arrangement was designed to enable the second core to further improve the signal with phase information while the first core creates a strong magnitude estimation. Due to the complementarity of traditional and learnt features modifications, this combination might give good impacts while preserving a minimal computing footprint, in terms of computational complexity, the stacked network is far less than most previously suggested LSTM networks and assures real-time capabilities.
Analysis of the Argumentation Structure shown in Writing and Earth Science Teachers’ Perception for SSI Teaching through Writing Education
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Seo Hye-Jeong , Wee Soo-Meen
Published: June 2022

Objectives In this study, the changes in perceptions of SSI teaching among earth science teachers who participated in SSI writing education training and the argumentation structure shown in writing was analyzed.
Methods It was targeted at 8 earth science teachers, and during five sessions, the training was conducted on SSI education and writing using the argumentation structure. The perception of SSI teaching was analyzed through a pre-post survey, and the development and characteristics of the argumentation structure shown in the writing process were analyzed.
Results After the teachers participating in the training, the element of argumentation in writing increased, and in the interview, they showed an understanding of the effectiveness of writing using the argumentation structure and planning how to apply it to the class. In addition, the values used in decision-making were different depending on the position of SSI, And we could see that the characteristics of SSI influenced the decision-making process, which were reflected in argumentative writing.
Conclusions SSI writing education for teachers can be applied directly to the school field in various forms, so it will have a positi
The Mediating Effect of Self-compassion on the Relationship between the Search for Meaning and the Presence of Meaning in Life among High school girls: Focusing on Religion
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Yumi , Kil Hyeji
Published: June 2022

Objectives This study was conducted to investigate the mediating effect of self-compassion on the relationship between the Search for Meaning and the Presence of Meaning in life of high school girls.
Methods A survey was conducted using the Meaning of Life Scale (MLQ) and Self-Compassion Scale (K-SCS) for 235 girls' high school students located in province C. Descriptive statistics and correlation analysis were performed on major variables, and Process-marco was used to analyze whether self-compassion significantly mediates the relationship between the Search for Meaning and the Presence of Meaning in life
Results First, there was a significant positive correlation between the Search for Meaning, the Presence of Meaning, and self-compassion, and self-compassion showed a higher correlation with the Presence of Meaning than the Search for Meaning. Self-compassion was found to partially mediate the relationship between the Search for Meaning and the Presence of Meaning in life in high school girls' lives. Third, in the presence of religion, the mediating effect of self-compassion in the relationship between the two variables was not significant, whereas in the absence of religion, self-compassion was partially mediated, showing a difference.
Conclusions These results suggest that the higher the tendency of high school girls to pursue the meaning of life, the higher their self-compassion, and the receptive attitude of self-compassion can act as a factor that promotes the Presence of Meaning. Also, the partial mediating effect of self-compassion was found only in the absence of religion according to religious beliefs. The role of self-compassion in helping people maintain positive self-concepts and emotions and relieve tension and pain in the process of discovering the meaning of life seems to be more effective in the absence of religion.
An Exploration of College Students’ Perceptions on a Learner-led Questioning Activity: based on General English Classes
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Byung Sun , Choi Yun Jeong , Son Eun Kyoung
Published: June 2022

Objectives This study aims to explore the meaning of college students' experience on the leaner-led questioning activity performed in general English classes.
Methods Purposeful sampling which is a technique widely used to a qualitative research was used and in-depth interviews were conducted for the data collection. And a phenomenological method was used for data analysis.
Results The essential theme clusters were derived, that is, qualitative change in learning habits, improvement of learning ability, overcoming the limitations of non-face-to-face classes, and transformation from immaturity to maturity. And the contents of the main themes were as follows. First, participants focused on lectures more than usual and engaged in various learning activities on their own. Second, they were able to recognized and supplement the shortcomings and their led questioning activity helped them to improve their knowledge retention and to expand their knowledge. Third, they perceived that there are active interactions between teacher and students and they became more and more active learners. Fourth, they could further develop their question quality by trial and error.
Conclusions It was found that learner-led questioning activity helped students to have high willingness to their learning and to improve their long-term knowledge retention as well as to expand their knowledge and to increase their level of academic performance. Although participants had difficulty on generating their own questions, their level of question quality was higher and higher for teachers to teach students to create their own questions. Consequently, this study shows that learner led questioning activity contribute to teachers' practice of Constructivist education and teachers need to encourage students to ask more questions maximizing their learning in the classroom.
Analysis of Narrative Inquiry Trends in the Field of Special Education in Korea(2000~2021)
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Ko Ara , Hong Jaeyoung
Published: June 2022

Objectives The purpose of this study is to provide basic information to researchers who want to carry out narrative inquiry in the field of special education in the future.
Methods 51 narrative studies in the field of special education in Korea were analyzed from 2000 to 2021. For analysis, analysis criteria were established through a review of prior research, and based on this, analyzed by journal, publication year, research participants, number of participants, research topics, disability area, number of participants, data formation methods, interview period and number of times.
Results As a result of the analysis, 11.8% of the papers to be analyzed were published in ‘Korean Journal of Early Childhood Special Education’ and 9.8% in ‘Journal of Special Education: Theory and Practice,’ with a total of 21.6% published in two journals. The publication started with 1 paper in 2004, 8 papers were published in 2021, confirming the increasing trend of narrative inquiry research. As for the participants, 40.7% of special education teachers and 20.3% of general teachers were involved in the study. the number of participants was 1~3 people accounting for the majority. Most of the research topics were instruction and curriculum operation experiences. In the case of the disability area, 46.4% of the studies dealt with the overall disability without limiting the specific disability area, and 8.9% of the single disability area were visual impairment and Multiple disability, respectively. As for the data formation method, 64.7% of them collected individual interviews and field text together. The interview period showed an even distribution from less than 1 month to 12 months. As for the number of individual interviews, 3~4 times were the most at 27.4%.
Conclusions Based on these results, implications for the development of narrative inquiry in the field of special education in the future were discussed.
The Effect of Children's Peer Play Interaction on Elementary School Students' Academic Performance: Academic Ability and School Adjustment as Mediating Factors
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Shim Hyunsook , Park Kyungbin
Published: June 2022

Objectives This study examines the effect of preschool children's peer play interactions and their performance at elementary school level academic performance with academic ability and school adjustment as dual mediating factors.
Methods For this purpose, data from the Korea Institute of Child Care and Education(KICCE)’s seventh (2014), eighth (2015), and tenth (2017) Panel Study on Korean Children(PSKC) was used. Data from a total of 438 children was analyzed using Process Marco(Model 6).
Results First, it was found that preschool children’s peer play interaction mediates their academic ability and that it significantly affects the academic performance when they are 3rd graders in elementary school. Second, the preschool children’s peer play interaction had a significant effect on the academic performance when they are 3rd graders which was mediated by school adjustment during their first year in school. Third, the preschool children’s peer play interaction was found to have a significant effect on the academic performance when they are in 3rd grade which was in turn mediated by the academic ability and the school adjustment during first grade.
Conclusions This suggests that preschool children's experiences of peer play interaction can have a positive effect on their elementary school life. In addition, this study is meaningful in that it reexamined the value of play in early childhood and the meaning of interaction with peers.
The Mediating Effects of Self-identity between Multidimensional Perfectionism and Career Decision Level of College Students
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Choi Young-Ok , Khu Bon-Young
Published: June 2022

Objectives This study was conducted to identify the relationship between multidimensional perfectionism (self-reliance, others-oriented, socially prescribed perfectionism), self-identity, and career decision level of college students. Based on the previous studies, the multidimensional perfectionism (self-oriented, others-oriented, and socially prescribed perfectionism) of college students was selected as the factor affecting the relationship between career decision level and the mediating path of self-identity was verified in the relationship between multidimensional perfectionism and career decision level.
Methods The subjects of this study were 545 college students, who collected data through online questionnaires. In order to confirm the relationship between variables through SPSS statistical program, correlation analysis was conducted and the mediating effect was confirmed by hierarchical regression analysis.
Results The results of the analysis showed that there was no mediating effect of self-identity between others-oriented perfectionism and career decision level. Second, it was confirmed that the higher self-oriented perfectionism, the higher self-identity, and the higher self-identity, the more fully mediating effect of career decision level. Third, the higher socially prescribed perfectionism, the lower self-identity, but the higher self-identity, the higher the level of career decision, the more partial mediating effect was confirmed.
Conclusions Based on the results of this study, the significance of the results of this study and the implications of actual counseling were discussed.
Mobile Interface Design for Job Competency-based Blind Resume
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Hong Kwang-Pyo
Published: June 2022

Objectives The purpose of this study is to design a mobile interface for creating blind resumes based on job competency.
Methods The research methods carried out to realize the research purpose were literature study, case study, rapid prototyping, and expert evaluation. Literature study and case study collected and analyzed related literature and cases related to the research topic, and used it to devise the design principle. In addition, the development model for interface design utilizes rapid prototyping that can be modified and developed immediately upon receiving the end user's request. Expert evaluation was carried out to find defects in the initial interface and to develop them in a completed form by correcting them.
Results The mobile interface of the job competency-based blind resume is largely composed of three areas. First, as a general area, there is a section where a user can sign up and browse necessary information. Second, it is a part where the user's job competency can be left professionally, and it is composed of an area to analyze one's job competency, an area to describe a desired job, an area to explore job-related experiences, and a self-diagnosis test area. Third, it includes the area where such information can be used to receive consulting from experts in related fields.
Conclusions The job competency blind resume should be composed of contents that can exclude individual specifications such as academic background, history, appearance, family relationships, etc. It should be composed of areas that can receive counseling and consulting from experts in order to develop.
A Prospective Cohort Study on Diabetic Foot Infections with Emphasis on Identifiable Risk Factors in Patients Attending Tertiary Care Centre
Authors: Kunta Naresh , G Tulja Rani , Poludasari Shravan Kumar , Rachakonda Vidya , Pingili Lohitha Reddy
Published: June 2022

Background: Foot infections are one of the most commonly observed complications in diabetic patients and are associated with high morbidity and risk of lower extremity amputation. Foot infections account for about 20% of all hospitalizations in people with diabetes and at least 50% of all non-traumatic lower-limb amputations performed annually.

Objective: To identify the risk factors in patients with diabetic foot infections attending tertiary care centre.

Method: It is a longitudinal prospective study in which patients attending the tertiary care centre with diabetic foot infections meeting the inclusion criteria were enrolled after obtaining the informed consent form.

Results and discussion: The results of this study revealed that the overall prevalence of DFI was seen more in males (61.42%) when compared to females (38.57%). The results also showed that the risk of DFI was more with trauma(44.28%) followed by the long duration of DM (28.57%) > wound (15.71%) > uncontrolled DM & prior foot ulcer (5.7%) which indicates a lack of awareness, longer duration of  DM, poor glycemic control were the main risk factors causing diabetic foot problems. Conclusion: The results suggest that lack of awareness, poor glycemic control, and long duration of diabetes were the main risk factors causing DFI. Therefore, efforts to prevent infections should be targeted at people with traumatic foot wounds especially those that are chronic and recurrent. Foot care education would be the foremost important way of dealing with this serious problem.

Keywords: Morbidity, lower-extremity amputation, trauma, glycemic control.
Incidence and antibiotic profile of gram-positive and gram-negative bacteria isolated from aprons and tables used in abattoir located in Abraka and Obiaruku, Delta State, Nigeria
Authors: Anie Clement Oliseloke , Okafo Sinodukoo Eziuzo , Anthony Amelia-Jane Oluchi , Egbon Kayode Temitope
Published: June 2022

This study was designed to investigate the presence of gram-positive and gram-negative bacteria in aprons and tables used in abattoirs in Abraka and Obiaruku. 
A total of one hundred samples were obtained. Fifty samples were obtained from the aprons of butchers and meat vendors working in an abattoir located in Abraka and fifty samples from the sectioning tables in an abattoir located in Obiaruku using sterile swab sticks. Biochemical tests were carried out to characterize the bacterial isolates and susceptibility carried out using Kirby-Bauer disc diffusion method.
Out of the 50 aprons sampled, 47 were gram negative bacteria and 3 were gram positive bacteria. The bacteria were: Proteus spp. (16), Citrobacter spp. (15), Salmonella spp. (10), Shigella spp.  (3), Aeromonas spp. (2), Providentia spp. (1), Mycobacterium spp. (1), Enterococcus spp. (1) and Streptococcus spp. (1). From the table samples, all 50 were gram negative bacteria. The gram-positive bacteria showed high susceptibility (100%) with high zones of inhibition to most antibiotics used. Gram-negative bacteria showed highest susceptibility to erythromycin (95.7%)
This study reveals that aprons and tables of butchers and meat vendors at the abattoirs are reservoir of various bacteria, some of which are food borne pathogens and are multidrug resistant. The high prevalence of some of these organisms in this study coupled with their high antibiotic resistance profile is reflective of the poor hygiene practices carried out at the abattoirs in Abraka and Obiaruku and thus, pose a serious public health concern to the consumers of meat from such abattoirs.
Keywords: Bacteria, isolates, abattoir, butchers, meat vendors
Acceptance of COVID-19 Vaccination and its Related Determinants among Adult Population in India
Authors: Jojo Chrins Thomas , Kareem Sulaikha Abdul , Jaison K Iren , Rahul Radhakrishnan , Menon N. Anand
Published: June 2022

Background: SARS-Cov-2 (severe acute respiratory syndrome coronavirus 2) infection emerged as an epidemic and it was declared as a pandemic by the world health organization (WHO). Vaccines are developed to induce viral immunity, and vaccinating the entire population is urgent to limit the spread of the pandemic. Attaining herd immunity can be difficult with less vaccine acceptance.
Methodology: A cross-sectional study was conducted by using the snowball sampling technique. The survey was done between April 29, 2020 and May 19, 2020. The total number of responses obtained was 526. The questionnaire used in this study was based on previously conducted studies to estimate the rate of COVID-19 vaccine acceptance.
Result:  97.7% of the people that participated in the study were aware about the vaccine and said that they would be able to explain what a vaccine was. 82.9% of the respondents think that they are risking their own health and the health of their family by not getting vaccinated.
This study reports that the majority of population shows acceptance of the COVID-19, however it is evident from the other study results that this rate of acceptance is not sufficient. It is essential to identify the causes for hesitancy and ways to enhance the acceptance rates. By identification of these factors, healthcare professionals can develop techniques to strategies to work on areas that cause hesitancy among people and address their concerns.  The demographical variations play a major role in determining the acceptance
Conclusion: In this COVID-19 pandemic, the most promising weapon for preventing the infection is the vaccine. More awareness and education about the need for vaccination and the hazards of avoiding the vaccine should be provided to people from authenticated sources.
Keywords: COVID-19, COVID-19 vaccine, cross- sectional study, vaccine acceptance, vaccine hesitancy.
Preparation of Moisturizing Lotion from Combination Extract of Clitoria ternatea Flower and Dragon Fruit Peels
Authors: Ginting Evi Ekayanti , Fathin Lulu , Ginting Pricella , Sari Dini Permata , Parhan1 Parhan , Leny Leny
Published: June 2022

Background: The skin is the organ that covers the entire human body and serves to protect the body from outside influences, so that the skin needs to be protected. The process of destruction of the skin characterized by the appearance of wrinkles, dried and cracked. Skin damage can occur due to the sun's rays. Antioxidants are needed to prevent, inhibit structural damage of the skin. This study aims to determine the best concentration from a combination of Clitoria ternatea L. flower extract and dragon fruit (Hylocereus Polyrhizus (F.A.C. Weber) Britton & Rose) peel extract in lotion formulation. The research was conducted by making extract preparation and formulate in lotion by differentiating its concentration F1 (5%:5%), F2 (3%:6%), F3 (7%:3.5%). The results:  Lotion of combination Clitoria ternatea L flower and dragon fruit peel extract with concentration F3 (7%:3.5%), showed the best effect, because it gives higher moisture increase compared to initial conditions, from to 32.6% become 65.2% after 4 weeks of usage. The conclusion: Combination Clitoria ternatea L. flower and dragon fruit peel extract can be formulated as a moisturizing lotion and with best combination in 7%: 3.5%.

Keywords: Lotion, Combination, Extract, Flower Clitoria ternatea , Dragon Fruit Peels
Antiradical and inhibitory activities of hydroethanolic extracts of Phyllanthus amarus and Striga hermonthica on α-amylase
Authors: ZANTE Abdoul Aziz , SOMDA Martin Bienvenu , OUATTARA Lassina , ZOUNGO Daouda , PODA F. Daniel , OUEDRAOGO R. Justin , SANOU Yacouba , KABRE B. Pawendé , KONATE K. Abdourasmane , OUEDRAOGO Georges Anicet
Published: June 2022

Objective: The aim of this study was to evaluate the antiradical and inhibitory activity of whole plant extracts of Phyllanthus amarus and Striga hermonthica on α-amylase.

Methods: The crude 70% (v/v) hydroethanolic extracts  obtained were used for the assay of polyphenols, the antiradical test with DPPH, the test for the inhibition of α-amylase with DNS (3,5-dinitrosalicylic). The enzyme extracts were obtained from sorghum malt (Sorghum bicolor).

Results: It appears from this study that the extract of P. amarus was richer in polyphenols than the extract of S. hermonthica. Regarding the antiradical activity, the extract of S. hermonthica showed an IC50 of 339.06 ± 1.43 µg/mL against 77.74 ±2.73 µg/mL for the extract of   P. amarus. Regarding the anti α-amylase activity, the extract of P. amarus inhibited IMS127 and KMTC 274 respectively 43.64 ±0.59% and 66.28 ±1.97%. On the other hand, the extract of S. hermonthica presented an inhibition of 3.93 ±0.91% on IMS127 and 14.85 ±1.62% on KMTC 274. The extract of P. amarus presents a good antiradical activity and anti α-amylase compared to S. hermonthica extract. In conclusion, these results partly explain the use of these plants in traditional medicine to treat or relieve people suffering from diabetes.

Keywords : α-amylase, inhibition, polyphenols, antiradical, diabetes
Local Health Traditions, Cultural Reflections and Ethno-taxonomical Information on Wild Edible Fruit Yielding Medicinal Plants in Melur Region of Madurai District, TamilNadu, India
Authors: Nazar S , Jeyaseelan M , Jayakumararaj R
Published: June 2022

Revitalization of local health traditions (RLHT) has become an inevitable aspect of human wellbeing in the post COVID era. An ethnobotanical survey was carried out to collect information on local health traditions and cultural reflections associate with the age old use of wild edible fruits (WEFs) from common plants in Melur Region of Madurai district, TamilNadu, India as the habit of consuming WEFs is quite common among people in this region and has not been completely abandoned in particular among the age old people. Information presented in this paper has been gathered from local people using an integrated approach of botanical collections, group discussions and interviews with questionnaires during the period from Apr 2021 to Mar 2022. As much as 29 informants were interviewed, among the informants 6 were local health-care practitioners (Vidiyars). Studies on the use of WEFs from common plants in Melur resulted in collection and documentation of information on a total of 34 ethnomedicinal plant species distributed across 20 families. Medicinal plants used by local people are listed with scientific name, family, local name, plant part(s) used, mode of consumption and preparation and medicinal uses. Data collected during the study clearly indicates that fresh parts of the plant (Fruit (Ripe/ Unripe)) were more preferred in general for the preparation of medicinal formulations by the local health practitioners. Documented ethnomedicinal plants were mostly used to cure long term complications associated with diabetics, gastrointestinal disorders, skin diseases, poison bites and nervous disorders. Howsoever, results of this study is clear record to the claim that the local people still depend on medicinal plants to overcome situations like COVID pandemic as fruits from most of the plants documented serve as natural source of immune boosters. Further, in-depth studies (both In-silico and Pre Clinical trials) are expected to bring to limelight the hidden quantum of bioactive compounds in the fruits these medicinal plants and their therapeutic potential.

Keywords: RLHT; Medicinal Plants; Folklore Medicine; Wild Edible Fruits (WEFs); Ethnobotany
A Case Report on Ibuprofen Induced Toxic Epidermal Necrolysis
Authors: HarshithaChanduri  , NeelamInjeti
Published: June 2022

Ibuprofen is a non steroidal anti-inflammatory drug that exhibits analgesic and antipyretic activities by inhibiting prostaglandin synthesis. Though available as an OTC drug, ibuprofen is potent enough to cause serious dermatologic adverse reactions like erythema multiforme,  erythroderma,  SJS  (Stevens  -  Johnson  syndrome),  TEN  (toxic  epidermal  necrolysis).  TENis  a  potentially  life  threatening dermatologic disorder and a severe cutaneous ADR that involves skin and mucous membrane, characterized by widespread erythema, necrosis and bullous detachment, resulting in exfoliation & possible sepsis and/or death, which is most commonly drug induced. Toxic epidermal necrolysis is characterized by inappropriate immune activation in response to certain medications or their metabolites. The exact pathogenic mechanism of TEN is still uncertain. The exposure to drugs has increased with demographic shifts associated with a higher morbidity of the population. Along with this phenomenon, a rise in the incidence of adverse drug reactions (ADRs) has been observed.   Hypersensitivity- syndrome associated with ibuprofen is a host-dependent idiosyncratic drug-reaction. Though ibuprofen is most widely used over the counter (OTC) medication, which is considered to be relatively safe, it is essential to understand its potential adverse effects. This rare case report addresses the fact that severe hypersensitivity reactions can occur with ibuprofen, which can be potentially dangerous and life threatening. This case report also adds a note on the diagnosis and management of Toxic Epidermal Necrolysis.
Legitimacy and variability: - The case of consumer contracts -
Authors:   Wonkwang University Legal Research Institute has, Hang Leong Cheng
Published: June 2022

The vicious, heinous and jarring epidemic of the 21st century (Covid-19) is raging -in an unruly manner - across the world. On the heels of this both unforeseen and hideous sanitary situation, mankind is met with a bevy of challenges and lessons which are in dire need of being withdrawn from a legal standpoint.
Against this background, this paper seeks to pinpoint the sizable impact that the ongoing epidemic has had on consumer contracts against the backdrop of legitimacy and variability of the legal system in the remit of modern private law. This paper thus endeavours to gauge the extent to which the current epidemic stands as a force majeure in the remit of consumer contracts or a principle of change of circumstances that disregards the principle of pacta sunt servanda coupled with its impact on both the deposits and the refunds of the fees paid by the consumer.
With this context in place, this article parses the impact (or lack thereof) of Covid-19 on the purview of private law system alongside its impact on the effectiveness of ongoing consumer contracts.
TOWARDS A FOUR-TIERED MODEL OF CONFLICT RESOLUTION
Authors:   Wonkwang University Legal Research Institute has, Santos Hugo Luz dos
Published: June 2022

This paper aims to lay down the foundations upon which stands an unprecedented and unparalleled four-tiered model of conflict resolution, which is bound to be a seismic shift in the remit of mediation. The foregoing model of conflict resolution rests upon four pillars. The first pillar has been coined the social dynamics of conflict resolution. The second pillar has been dubbed the cultural dynamics of conflict resolution. The third pillar has been baptized the legal dynamics of conflict resolution. Finally, the fourth pillar has been called the cross-border and cross-cultural dynamics of conflict resolution.
The overriding goal of this paper is to carve out a functional conflict resolution framework amenable to assuage the yawning chasm between law and the underlying social reality of/in a given jurisdiction. To cater to that, this paper endeavours to cast a new light on the polymath Professor Niklas Luhmann´s ground-breaking academic work with a view to support my central claim that social sub-systems (ranging from culture, society, religion, political ideology, economy, philosophy, and law) have permanently interacted with each other throughout the vast swathes of history (and) for a long-winded time. Following on the heels of such assertion, the sweeping objective underpinning this paper is to set forth a full-fledged and comprehensive model of conflict resolution that parses mediation in four perspectives with a view to yield both a sought-after long-term harmony-equilibrium and a wealth procedural maximization across jurisdictions.
INVESTIGATION OF IMAGE STITCHING REFINEMENT WITH ENHANCED CORRELATION COEFFICIENT
Authors: Wen Hwooi Stephen Khor , Md Sabri Aznul Qalid
Published: June 2022

Image stitching combines multiple overlapping scenes into a panorama. It can be applied in video stitching, super-resolution, and medical imaging. Post-processing routines such as exposure compensation, seam line adjustment, and blending are often performed to increase its visual appeal. Our aim is to increase the registration accuracy between adjacent image pairs in a stitching algorithm. This is done by adding an area-based registration step, namely Enhanced Correlation Coefficient (ECC), which refines the original feature-based image registration. The performance of registrations in the stitching algorithm is evaluated using root-mean-squared error of control points, structural similarity index, and universal image quality index. The Boat and Graffiti datasets from the Oxford Robotics Database are used for experiments. It is found that ECC largely improves registrations in stitching except for a slight increase in root-mean-squared error of control points in the Boat dataset. In addition, ECC’s enhancement makes the registration outperform the ground truth in one image of both datasets.