bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of the effect of ketamine and propofol on surgical operation patients
Authors: Abed Omer Abdulla
Published: June 2023

Background and objective: A prospective randomized controlled study was conducted to compare and evaluate the quality of anesthesia with ketamine or propofol.

Materials and methods:  80 patients, aged 18-50 years, who were scheduled to undergo minor surgeries of short duration (less than 1 hour of expected duration) were selected and divided in two groups.  The patients were randomly assigned to the first group and the second group of 40 patients in each.  Group I patients were given ketamine injection 0.5 mg/kg and group II received propofol injection (1.5 μg/kg) as a co-induction agent.  After 2 minutes, induction of anesthesia was given with propofol (2.5 mg/kg) and an appropriately sized laryngeal mask was inserted.  Anesthesia was maintained with 60% NO in O2 and an intermittent bolus of propofol injection (0.5 mg/kg) given after significant changes in heart rate, blood pressure, lacrimation, sweating, and abnormal movements were noted.

Results: There was a significant decrease (P < 0.05) in pulse rate, systolic and diastolic blood pressure at 1, 3 and 5 minutes in the group receiving propofol, while the change was insignificant (P > 0.05) at 10 minutes.

Conclusion: It was noted that ketamine as a starting material was better than propofol with regard to hemodynamic stability and caused fewer adverse effects during surgery and after surgery.
HUBUNGAN ANTARA ADIKSI INTERNET DENGAN GANGGUAN KECEMASAN MENYELURUH PADA MAHASISWA FAKULTAS KEDOKTERAN UNIVERISTAS MUHAMMADIYAH PALEMBANG
Authors: Amar Ilham Kasbawan , Astri Yesi , Artanto Ardi
Published: June 2023

Adiksi internet didefinisikan sebagai penggunaan internet yang berlebihan atau obsesif yang dapat mengganggu kehidupan sehari-hari orang tersebut seperti gangguan pada hubungan interpersonal, kesehatan fisik dan mental. Adiksi ini dapat menyebabkan banyak efek negatif baik gangguan fisik dan gangguan psikologis seperti gangguan kecemasan menyeluruh. Penelitian ini bertujuan untuk mengetahui hubungan antara adiksi internet dengan gangguan kecemasan menyeluruh pada mahasiswa Fakultas Kedokteran Universitas Muhammadiyah Palembang. Penelitian ini menggunakan desain cross-sectional dan didapatkan sampel berjumlah 166 mahasiswa yang telah memenuhi kriteria inklusi dan ekslusi dengan menggunakan teknik total sampling. Hasil analisis hubungan adiksi internet dan gangguan kecemasan menyeluruh yang didapatkan adalah p = 0.005. Terdapat hubungan bermakna antara adiksi internet dan gangguan kecemasan menyeluruh pada mahasiswa Fakultas Kedokteran Universitas Muhammadiyah Palembang.
PENGARUH STRATEGI BERSAING DAN MANAJEMEN RANTAI PASOKAN TERHADAP KINERJA PERUSAHAAN (STUDI PADA PT PACKET SYSTEMS INDONESIA)
Authors: Rahmaini Rahmaini , Warastuti Siska
Published: June 2023

This study aims to determine and analyze the effect of competitive strategy and supply chain management on company performance at PT Packet Systems Indonesia. The research method used is a quantitative method. Data collection techniques using questionnaires and literature study. The sampling technique uses the Slovin method with a sample of 77 respondents taken from all employees at PT Packet Systems Indonesia. Data analysis techniques using regression analysis and correlation using SPSS ver 25 as an analysis tool. Based on the results of the study showed that the competitive strategy has a positive influence and is at a fairly strong level on company performance that is equal to 34.3%. While supply chain management has a positive influence and is at a strong level on company performance that is equal to 62.1%.
EFEKTIVITAS KERJA WORK FROM HOME (WFH) TENAGA AHLI DPR RI DI MASA PANDEMIK COVID-19
Authors: Utama Zahera Mega
Published: June 2023

This study aims to determine the effect of work planning and supervision on the effectiveness of work from home (WFH) experts in the DPR RI. The hypotheses tested are (1) There is a significant influence between Work Planning and Effectiveness; (2) There is a significant influence between Supervision and Effectiveness; and (3) There is a significant influence between Work Planning and Effectiveness together with Effectiveness. This research was conducted using a survey method with an associative descriptive approach. The sample was taken using the simple random sampling technique, while the research data collection instrument for the variable work planning and effectiveness and effectiveness was using a questionnaire. The results of the study concluded that first there is a positive and significant relationship between Work Planning and Effectiveness with a Pearson Product Moment correlation number of 0.867 or 75.1% X1 affects Y which is shown in the regression equation Ŷ = 2.351 + 1.022X1. Second, there is a positive and significant relationship between Supervision and Effectiveness with the Pearson Product Moment correlation number of 0.719 or 51.7% X2 has an effect on Y, which is shown in the regression equation Ŷ = 3,100 + 0.866 X2. Third, there is a positive and significant relationship between Work Planning and Supervision together with Effectiveness with a Pearson Product Moment correlation number of 0.874, which is shown in the regression equation Ŷ = 3,732+ 0.874 X1 + 0.205 X2, the Coefficient of Determination 0.764 indicates that Work Planning and Supervision contributed 76.4% to the Work From Home (WFH) Effectiveness of the DPR RI Experts.
ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI DAMPAK NEGATIF KEUANGAN
Authors: Franky Franky
Published: June 2023

This study aims to determine the effect of equity, retained earnings, net operating income, cash flow, interest rates, and exchange rates on financial distress. This type of research is descriptive quantitative which aims to determine the effect of the independent variables on the dependent variable. The sample used in this study is automotive issuers during the 2015-2019 period. Researchers used SPSS and Microsoft excel programs as data processing tools. Based on the t test, retained earnings have an effect on financial distress, cash flow has an effect on financial distress, interest rates have an influence on financial distress, the exchange rate has an influence on financial distress. Based on the F (simultaneous) test, the six variables have a significant effect on financial distress. Based on the results of the analysis also obtained a regression equation [Y=1.58 + 2.68E-14 (X1) + 3.51E 13 (X2) + 4.853 (X3) + 1.62E-5 (X4)].
PENGARUH REKRUTMEN, KOMPENSASI TERHADAP KINERJA SATUAN PENGAMANAN DILINGKUNGAN KELURAHANAN CEMPAKA PUTIH TIMUR
Authors: Utama Zahera Mega
Published: June 2023

The title of this research is the influence of the recruitment process, compensation on the performance of security unit personnel in the Cempaka Putih Timur Village Area. This study aims: 1) To determine the effect of the recruitment process on security guard performance 2) To determine the effect of compensation on performance. 4) To determine the effect of the recruitment process, compensation, on performance The method used in this research is descriptive method and the type of correlational study. The approach used in this research is a quantitative approach. In this study, the authors took samples using a non-probability sampling method, which is a method that is not based on a random mechanism in the selection of research samples. The conclusion from the results of the analysis that has been carried out, it can be concluded that the results of the regression coefficient analysis on the constant variable (a), it is known that it is 4.552, while X1 (recruitment) is 0.879, while X2 (compensation) is 0.630, thus it can be said that X2 (compensation) which experienced the lowest increase. The results of the joint test through the F test, it is known that the value of Fcount 27.129 F table 3.16, thus it can be said that recruitment and compensation carried out together significantly affect employee performance. The results of individual testing through the T test, it is known that the Tcount of recruitment (X1) is 2.174 T table 2.003, then H0 is rejected and Ha is accepted. While the value of Tcount compensation (X2) 2.242 T table 2.003, then H0 is rejected and Ha is accepted. The test results of the Coefficient of Determination, R Square, are 0.492 = 49.2%, while the rest is 50.8%. From this value it can be seen that employee performance is influenced by recruitment and compensation by 53.4%. Keywords: recruitment, compensation, performance.
PENGARUH GAYA KEPEMIMPINAN DAN KOMPETENSI TERHADAP EFEKTIVITAS KERJA PEGAWAI PADA KESEKRETARIATAN KEMENTERIAN PEMUDA DAN OLAHRAGA
Authors: Hizkia Hizkia , Utama Zahera Mega , Marwan Jubery
Published: June 2023

This study aims: 1) To determine the effect of leadership style and competence on the work effectiveness of employees at the Secretariat of the Ministry of Youth and Sports, 2) To determine the effect of leadership style on the work effectiveness of employees at the Secretariat of the Ministry of Youth and Sports, 3) To determine the effect of competence on effectiveness employee at the Secretariat of the Ministry of Youth and Sports. The research method used is a quantitative method using a questionnaire as a tool for data collection. The samples taken were echelon III and IV employees at the Secretariat of the Ministry of Youth and Sports as many as 51 people from a population of 51 employees. The results of the analysis of the magnitude of the influence of leadership style on employee performance is that there is an influence of leadership style on employee performance. This shows that 54.5% of employee performance variables are determined by leadership style variables, the magnitude of the influence of competence on employee performance is that there is an influence of competence on employee performance. This shows that 79.2% of employee performance variables are determined by the competence variable factor. While the influence of leadership style and competence on employee performance is the influence of leadership style and competence on employee performance. This shows that 79.2% of employee performance variables are determined by leadership style and competence variables.
PENINGKATAN KINERJA KARYAWAN MELALUI STRATEGI KOMPENSASI DAN GAYA KEPEMIMPINAN DI PT. CWLI
Authors: Fajarisman Bambang
Published: June 2023

This study aims to find the dominant factors that affect the level of employee performance at PT. CWLI. Employee performance level is an absolute goal that must be achieved by every business organization. The level of employee performance is the main trigger in moving the business organization by optimizing the competencies possessed by employees. If the factors that affect the level of employee performance can be identified, the employee's performance level can be measured, assessed, and planned for other business expansion activities. This research uses quantitative methods. The population used in this research is 65 people who are employees of PT. CWLI and the number of samples is 64 respondents. Sampling using random sampling technique (random sampling). The data analysis method uses regression analysis and the results of this study state as follows, 1) the compensation variable has a significant positive effect on the performance of the employees of PT. CWLI. 2) the leadership style variable has a significant positive effect on the performance of the employees of PT. CWLI. 3) simultaneously the compensation and leadership variables have a significant positive effect on the performance of the employees of PT. CWLI.
PENGARUH MOTIVASI TERHADAP KINERJA OFFICE BOY DI RUANG KERJA KANTOR MPR RI DI MASA WABAH COVID
Authors: Utama Zahera Mega
Published: June 2023

The title of this research is The Influence of Work Motivation on the Performance of Office Boy employees at the People's Consultative Assembly (MPR RI) office. This study aims: to the performance of Office Boy employees in the office of the People's Consultative Assembly (MPR RI). knowing the effect of work motivation on performance. The method used in this research is descriptive method and the type of correlational study. The approach used in this research is a quantitative approach. In this study, the authors took samples using a non-probability sampling method, which is a method that is not based on a random mechanism in the selection of research samples. The population in this study were Office Boy employees at the People's Consultative Assembly (MPR RI) office, so the number of employees who would be respondents calculated using the Slovin formula amounted to 50 people. The data analysis technique used descriptive analysis and inferential statistical analysis. The conclusion from the results of the analysis that has been carried out, it can be concluded as follows: 1. The regression model in the coefficients table shows that the value of the motivation variable (X) is X = 000 is smaller than 005. These results conclude that the regression model has a significant effect on the performance variable (Y).2. The coefficient value of the recruitment path on performance is 0.628 with a t-value of 9.151. Because the value of tcount is greater than the value of ttable at dk = 18 for = 0.05 of 0.158, then H0 is rejected and H1 is accepted, which means that there is a direct positive effect of the motivational variable on the performance variable.
Prevalence of Eating Behaviors and Their Influence on Metabolic Control of Children With Type 1 Diabetes Mellitus
Authors:   Department of Psychiatry, Psychiatry and Behavioral Sciences Research Center, Addiction Institute, Zare Hospital, Mazandaran University of Medical Sciences, Sari, Iran., Farnia Samaneh , Jahandideh Arian ,   Mazandaran University of Medical Sciences, Sari, Iran., Zamanfar Daniel ,   Department of Pediatrics, Diabetes Research Center, Mazandaran University of Medical Sciences, Sari, Iran., Moosazadeh Mahmood ,   Gastrointestinal Cancer Research Center, Non-Communicable DiseasesInstitute, Mazandaran University of Medical Sciences, Sari, Iran., Hedayatizadeh-Omran Akbar ,   Gastrointestinal Cancer Research Center, Non-Communicable DiseasesInstitute, Mazandaran University of Medical Sciences, Sari, Iran.
Published: June 2023

Background: Since a comprehensive study of eating disorders in children with type 1 diabetes in the Iranian population is necessary, this study aimed to investigate the prevalence of eating behaviors and metabolic control status of children and adolescents with diabetes mellitus. Objectives: The present cross-sectional study aim to explore the prevalence of eating behaviors and their influence on metabolic control of children with type 1 diabetes mellitus. Methods: In this cross-sectional study, all children and adolescents 6 to 12 years old with diabetes were included. First, the prevalence of eating-related behaviors in participants was assessed and recorded. Then the recorded data were statistically analyzed. Results: The Mean±SD age of the study participants was 8.92±1.925 years. One hundred children with food approach scores above 12.29 had food-approach behaviors, and 78 children with food avoidance scores above 11.85 were classified as having food avoidance behaviors. The relationships between food-approach behaviors and hemoglobin A1C (HbA1c) and insulin dose, body mass index (BMI), and lipid profile were significant (P<0.05). Nevertheless, the relationship between these variables and food avoidance behaviors was not significant (P>0.05). Conclusions: High BMI, high insulin dose, increased lipid levels, and high HbA1c are associated with an increased eating tendency in children. Therefore, these children should be evaluated for disordered eating behaviors.
Janus-kinase Inhibitors in Pathogenesis and Management of Chronic Urticaria: A Review of the Literature
Authors:   Department of Pediatrics, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran., Darougar Sepideh , Hashemitari Seyed Karen ,   Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran., Montazeri Namin Sara ,   Bu-Ali Hospital, Faculty of Medicine, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran.
Published: June 2023

Background: Chronic urticaria is a long-lasting condition, sometimes with serious comorbidities, severely affecting the quality of life, which makes the patients seek efficient therapies to achieve sustained remissions. The complex nature of urticaria greatly complicates the patients’ responses to appropriate treatments. Objectives: This review was conducted to focus on the Janus kinase (JAK) pathway, evaluate its role as a new biomarker, and discover the efficacy of its inhibitors as novel therapeutic agents in the treatment of refractory chronic urticaria. Methods: Electronic databases of PubMed and SCOPUS were searched to find and evaluate all the reports describing “Janus kinase,” “JAK-STAT pathway,” “chronic urticaria,” “JAK inhibitors,” and “pruritus.” Because itching is the most annoying symptom of chronic urticaria and due to the scarcity of articles conducted on the use of JAK inhibitors in the treatment of this disease, we also reviewed quite a few articles performed on applying JAK inhibitors in the treatment of dermatologic disorders and also pruritus in atopic dermatitis. Results: From the initially retrieved articles, only five were exclusively about the use of JAK inhibitors in the treatment of chronic urticaria. Conclusions: Although JAK inhibitors are widely known as effective therapies in the treatment of some dermatological diseases, we found out that there are not currently sufficient eligible studies confirming the role of JAK inhibitors in the treatment of chronic urticaria. There is therefore a need for more studies regarding the efficacy and safety of these medications in the treatment of refractory chronic urticaria.
Urine Neutrophil Gelatinase Associated Lipocalin as a Predictor of Vesicoureteral Reflux and Renal Parenchymal Damage: A Systematic Review
Authors:   Department of Pediatric Nephrology, School of Medicine, Aliasghar Children’s Hospital, Iran University of Medical Sciences, Tehran, Iran., Nickavar Azar , Valavi Ehsan ,   Chronic Renal Failure Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran., Sadigh Nader ,   Department of Emergency, School of Medicine, Aliasghar Children’s Hospital, Iran University of Medical Sciences, Tehran, Iran.
Published: June 2023

Background: Vesicoureteral reflux (VUR) is the most common congenital urinary tract abnormality in children. Renal parenchymal damage is the most devastating complication of severe undiagnosed VUR. Different diagnostic biomarkers have been introduced as alternatives for radiologic evaluation in these patients. This review article aimed to increase the knowledge about the role of urine neutrophil gelatinase-associated lipocalin (uNGAL) in children affected by primary VUR and renal parenchymal damage. Methods: A systematic review of PubMed, Scopus, Web of Science, ProQuest, and Ovid was conducted in September 2022 to retrieve studies that investigated the correlation between uNGAL or uNGAL/Cr excretion and primary VUR in male/female patients younger than 18 years of age. Patients with secondary VUR, age older than 18 years, infectious or inflammatory disorders, obstructive uropathies, and acute or chronic kidney diseases were excluded. Two reviewers independently screened the titles and abstracts of the search results and then assessed the full texts selected from the pertinent studies. Results: Eighteen research articles with a total sample of 699 patients were found to measure uNGAL in VUR or renal scarring. UNGAL or uNGAL/Cr had increased excretion in the majority of children with primary VUR or RPD, with a positive or no correlation to the severity of VUR. Conclusions: Several studies addressed uNGAL and uNGAL/Cr as putative biomarkers for the prediction of VUR or reflux-associated RPD.
Effect of Different Recovery Methods on Oxidative Stress and Hematological Indicators in Female Runners
Authors:   Department of Physical Education & Sport Sciences, Damavand Branch, Islamic Azad University, Damavand, Iran, Rahmani Ghobadi Marya , Hoseini Seyed Ali ,   Department of Sport Physiology, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran, Hasanpour Ghobad ,   Department of Sport Physiology, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
Published: June 2023

Background and Objectives Exercise can increase oxidative and metabolic stress. The aim of this research was to investigate the effect of different recovery methods after an acute training session on aspartate aminotransferase activity, oxidative stress, and some hematological indices of female runners. Subjects and Methods In the present quasi-experimental study, 30 semi-professional female runners were selected as the research sample and randomly divided into three groups (n=10): active running recovery, passive recovery, and sports massage. After two weeks, the same training protocol was performed for athletes and also after a week of rest, fasting blood sampling was performed. Blood sampling was performed in three stages: 1- fasting, 2- after 1500 meters competition, and 3- immediately after different stages of recovery. The one-way analysis of variance was used for statistical analysis. Results The results showed that in the massage group, the change in hematocrit, white blood cells, and hemoglobin was more than in the active and inactive recovery group (P<0.05), while in the active recovery group, the level of malondialdehyde decreased more than the massage and inactive recovery groups (P<0.05). There was no significant difference between the three recovery methods on changes in iron, red blood cells, aspartate aminotransferase, and total antioxidant capacity (P<0.05). Conclusion According to the results, it can be said that active recovery can prevent damage caused by oxidative stress by increasing blood flow.
Implementation of MERN : A Stack of Technologies to Design Effective Web Based Freelancing Applications
Authors: Karishma Arora  , Vaishnavi  , Jai Nagpal
Published: June 2023

In today’s world with the growth of internet, there is a hike in demand for electronically deliverable services. These services can be provided by freelancers. Freelancers are the personals who work individually and provide services as per the need of client according to their contract for a particular job. Every now and then freelancers need a platform where different businesses can be found and contacted. The idea is to have a software that provides the functionality of a hub where both freelancers and business providers can interact with each other. Our work is known as ‘Developer’s Hub’, which encapsulates the idea of freelancing with MERN stack in an optimized way over the web. MERN stack, as the name suggests is stack of four different technologies which are MongoDB, Express.js, React.js, Node.js. This paper reflects significance of freelancing and the technologies concerned in MERN stack. It includes the implementation of MERN for optimizing freelancing over web. The paper also includes challenges faced by freshers or experienced people in freelancing market with the growth in demand of freelancing world.
Trends and Techniques used in Tourist Recommender System : A Review
Authors: Nayma Khan  , Dr. Mohd Haroon
Published: June 2023

Traveling to other locations for pleasure, business, or other reasons is called tourism. In every sort of recommender system, there are a certain amount of users and items. Creating a recommendation systems is made more difficult by the abundance of information available online and the high volume of website visits. A recommender system pulls the user's preferences or interests from relevant data sets to reduce information overload. This calls for the development of a new recommended system that will deliver higher-quality recommendations for massive data sets. To solve these kinds of problems, we have found several approaches for making recommendations, including three different types: content-based filtering, collaborative filtering, and hybrid filtering. With each type of recommender system, this research also analyses several algorithms. The main aim of this paper is to review several trends and techniques currently being used in tourist recommender systems.
Automatic Brain Tissue Detection of Acute Ischemic Stroke Patients
Authors: Amar Madhekar  , Pranoti Bawaskar  , Pritam Devshatwar  , Shubham Deshpande  , Smita Chaudhari
Published: June 2023

Currently, the different algorithms for detecting tumor range and shape in brain MR images are being implemented and it is now possible to find out the degree of tumor with regard to the given tumor area. The information was gathered via research of various statistical analysis methods which are all based on those individuals who have been diagnosed with brain tumors, and then risk factors and symptoms that appear for all individuals diagnosed with brain tumors were discovered. The advancement of research in medicine day and night aims to provide modern therapeutic approaches. The surgeon physically examines this image in order to identify and diagnose brain tumors. However, this procedure accurately measures the stage and scale of the tumor and accurately distinguishes the stage of the tumor based on the location of the tumor. This dissertation employs k-means and fuzzy c-means algorithms to segment brain tumors and classify tumor cells using CNN (convolution neural network). This approach enables the accurate and reproducible segmentation of tumor tissue equal to manual segmentation. Additionally, it decreases research time and accurately determines the stage of tumor from a given region of tumor.
Cloud Storage Service using Personal Desktop Computer
Authors: Prof. Mrunal Swapnil Aware  , Prathmesh Balsurkar  , Hitesh Aghav  , Darshan Kadu  , Shahid Choudhary
Published: June 2023

Given the current state of technology, as a group in the classroom, we often run into the problem of teachers struggling with the files and notes needed for their lectures. Teachers also bring USB sticks to access notes and files. We decided to set up a cloud storage service specifically for our college. Teachers can access files at once. The technology being used here is going to be NAS (Network attached storage systems) Organize various subject notes in one place to save time searching for files. Students can access files uploaded to the system. In today's world, the world of cloud computing has become more sophisticated. Would you like to take advantage of such cloud enhanced technology? Cloud computing is one the most important advancements in the world and we must be able to use it at full potential. These innovations often make our lives easier. The goal is to provide similar services to our teachers, friends and other colleges.
A Comprehensive Analysis of Software Obfuscation Techniques
Authors: Priyanka Kadam  , Hrishikesh Devgude  , Srivaramangai R
Published: June 2023

In today's environment, a huge and increasing range of unauthorised practises allows hackers to get unauthorised access to devices and private information by inserting harmful code. The purpose of this research is to assess the efficiency of obfuscation strategies in safeguarding software against reverse engineering and tampering. This study tries to evaluate various obfuscation approaches, such as code obfuscation, control flow obfuscation, and data obfuscation. The findings of this study will contribute to the establishment of best practises for software developers to protect their code from unauthorised access and alteration by providing useful insights into the efficiency of obfuscation approaches in software protection.
Physiotherapeutic Aid using ML and AI
Authors: Dr. Madhur Jain  , Ms. Shilpi Jain  , Hritik Kesharwani  , Onkar Manuja  , Nandita Upreti  , Anas Ejaz Ahmed
Published: June 2023

In the recent year 2020 due to corona many people were not able to have appointments with their doctors and they were locked in their house. The younger generation can possibly maintain their health even if they do not go outside for days, but the older generation have to do regular exercise to maintain their health and well-being; prescribed by the doctors. It is not just because of corona that we have experienced this but we have also come to a situation where older people cannot visit their doctors. So, as a solution for these problems/challenges, we came up with an idea so that they can do their exercise and maintain their health without visiting their doctors or physiotherapist. Artificial Intelligence is technically defined as the development of technology which is used to perform technology operations which require involvement of human intelligence. Machine learning is one of the key components of artificial intelligence and it provides us with the ability of both supervised and unsupervised learning for training our model. AI technology today can be in different forms such as software programs as well as hardware interfaces to develop a system which is capable of learning from their own datasets. In our project AI with machine learning can be used for posture detection and then assessment of patients. We provided physiotherapy using AI and ML. We used normal running feed and we got good frame rates. These older generations have to do live exercise in front of the camera, our software will detect their pose/position whether they are doing their exercises correctly or not. By comparing the poses obtained from the live feed to the images or the videos obtained from the dataset. If the pose is not matched to the dataset, it is terminated or denied and deemed as wrong exercise. Our software is going to tell them where they went wrong. Now we have to decide a perfect algorithm/method to detect/estimate the pose with much higher accuracy. We are going to compare all the algorithms present till date regarding pose estimation and select the algorithms which give best accuracy.
A Review on Performance and Heat Transfer Enhancement in Solar Still
Authors: A. T. Navin Prasad  , K.N. Sivasubramani  , K. Gowthaam  , S. Jeevan Kumar  , K. Naresh
Published: June 2023

The earth’s surface covers 71% of water area. Drinking water is a necessary thing for all living organism in the earth. But the availability of potable water is no longer available in rapid increase of population. So one of the way to obtain clean water from saline water is solar desalination. Solar desalination is the process of obtaining clean water from saline water. For desalination a device solar still can be employed. The solar still is one of the effective ways of desalinating saline water with an affordable price. Using extended surface the productivity of solar still is increased. The extended surface is modified to improve the evaporation rate and to absorb more solar radiation. Present review paper shows the use of extended surface in solar still and how to increase solar still production.
Design and Manufacturing of E-Kick Scooter
Authors: Tarkesh Khade  , Prathmesh Gholap  , Kiran Sanap  , Prof. Prashant Ambhore
Published: June 2023

This paper is based on providing a better transportation for all in a big infrastructural facility. For this, we are building an electric kick scooter suitable for teenagers and adults. In big spaces such as IT Parks, Colleges, Airports, etc., there is a transportation issue to travel between two sections of the facility.
To tackle this issue an electric kick scooter is a fun and effective way to get going. To develop our product, benchmarking was a major step, to see what is and was in the market and what they are offering to the public. With some basic features such as speed controller, dual brakes, and good ground clearance, we are adding more features like a removable seat, phone holder as an accessory, extra standing space for two adults, front and rear lighting and some styling features. After researching, we have chosen to build our product with high quality steel and recycled plastic and rubber for better strength and durability. This product is intended for public use, with that in mind, our vehicle is controlled just as a bicycle.
A good-looking product and better features are key for sales.
DEAGRICHAIN Blochchain-Based Solution for Agriculture
Authors: Prof. Sachin Sambhaji Patil  , Shubham Mali  , Payal Palve  , Omkar Kumbhar  , Sanchita Jedhe
Published: June 2023

This survey paper explores the use of blockchain technology in agriculture, which has the potential to transform the industry by enabling secure and transparent transactions, tracking the origin and journey of food products, and improving supply chain efficiency. The paper reviews the existing literature on blockchain-based agriculture solutions, including case studies, prototypes, and pilot projects from various regions of the world. It also examines the benefits and challenges of implementing blockchain in agriculture and provides an overview of the technical aspects of blockchain technology. The survey paper concludes by identifying key research gaps and future directions for the adoption of blockchain in agriculture.
Implementation of ERP for Student Training and Placement
Authors: Kombade Neha Maruti  , Joshi Gauri Ranjit  , Jaykar Rupali Satish  , Rahinj Sandip Sanjay  , Prof. Gunaware N.G.
Published: June 2023

Training and Placement is the crucial part of any educational institute in which most of the work till now is being done manually of papered work. The aim of this project is Automation of Training and Placement unit of College or academic institutes. The project will include minimum manual work and maximum optimization, abstraction and security. This is a web application which will help students as well as the administration authority to carry out each and every activity in this department. It also provides a requested list of candidates to recruit the students based on given query. Administrator logging in may also search any information put up by the students. This project will aid colleges to practice full IT deployment. This will also help in fast access procedures in placement related activities.
New Sets on Local functions of Different Perfect sets in Micro Ideal Topological Spaces
Authors: Ms. G. Gincy  , Dr. C. Janaki
Published: June 2023

A perfect set is one of the characterizations for compatible ideals in an ideal topological space. In this paper, we introduce and in a brand new ideal space called Micro ideal topological spaces, which give the local functions of certain perfect sets in the space and study their properties. Also we obtain a generalized topology via ideals using which is finer than micro topology and also .
The Surface Roughness Model When Turning of 1066 Steel by TiC Insert
Authors: Do Thi Kim Lien  , Nguyen Dinh Man  , Phung Tran Dinh  , Nguyen Duy Chien
Published: June 2023

Surface roughness (SR) is a very important parameter to evaluate the quality of a machining process in mechanical production. The construction of the surface roughness
model during the machining process will be the basis for predicting the surface roughness for each specific case. The construction of a surface roughness model when turning of 1066 steel was done in this study. An experimental process was performed with a total of fifteen experiments. These fifteen experiments have been designed according to a Box-Behnken matrix. In each experiment, the values of three parameters were changed, including cutting speed (V), feed rate (S), and depth of cut (t). Surface roughness values were also measured at each experiment and then a surface rouhness model was built. This model demonstrates the mathematical relationship between surface roughness and three cutting parameters. A second surface roughness model was also established using the Box-Cox transformation. The accuracy of these two models was compared through three parameters including coefficient R2, R2(pred), and R2(adj). The results show that all three parameters of the second model are better than the first model. In other words, the accuracy of the surface roughness model has been improved through the use of Box-Cox transformation to convert the data.
Online Fake Review Detection Based on Machine Learning Techniques
Authors: Prof. Amol Gadewar  , Pratima Jadhav  , Pratiksha Kale  , Dhanashree Kature  , Kshitija Patil
Published: June 2023

In E-Commerce client’s reviews can assume a huge part in deciding income of an association. As the vast majority of individuals require review about an item prior to spending their cash on that item. So individuals went over different audits in the site however these surveys are genuine or counterfeit isn’t distinguished by the user .In survey sites some great review are added by the item organization individuals itself to create bogus positive item review. They give great surveys for some, various items fabricated by their own firm. Client will not ready to see if the survey is genuine or counterfeit. The suggestion motor creates benefits dependent on client profiles and previous authentic studying movement for clients who have as of late joined the framework and unequivocally permitted web history. Consolidate the data separating strategy with the client profiles gained from the present community sifting procedure to give customized audit proposals. The proposed concentrate on utilizes a mixture AI framework to suggest web surveys. The framework first works utilizing Natural Language Processing (NLP) to extricate elements and train the module. The technique might direct investigations dependent on the client’s very own set of experiences. We recommend an item viewpoint surveys system in this paper, featuring fundamental components of items to expand the convenience of the various assessments. For example, given an item’s client reviews, we utilize a feeling classifier to identify item attributes and decide shopper assessments on these components. Then, at that point, utilizing a concurrent thought of viewpoint recurrence and the impact of client surveys given to every perspective over their unfit feelings, we foster an angle positioning calculation to deduce the importance of perspectives. We then, at that point, gauge these variables to get the item’s general grade. The proposed outfit model beats a few current methodologies, thus giving a clever answer for handle information lop-sidedness and component pruning troubles in the space of phony survey ID.
The Effects of Project-Based Learning on Students' Scientific Reasoning Abilities and Credibility : A Teachers' Perspective
Authors: Whajah Samuel Miezah  , Gifty Whajah
Published: June 2023

The purpose of this research paper is to investigate the impact of project-based learning on students' scientific reasoning skills and credence. The study's pre-exam and post-exam model was single group. 40 students from a public-school 8th grade students participated in the study during the spring 2021-2022 school year. The "Scientific Reasoning Exam Skills - SRES" was used to gauge the scientific reasoning abilities of the students before “Life science and Physical Science” course was taught using the research-project based learning approach and the SRES as a final progress check results. The 26 elements in this test are divided into 6 sub-categories Project-based learning is a student-centred approach that promotes active learning, critical thinking, and problem-solving through the exploration of scientific phenomena. This was accomplished in order to have a very solid result which will help schools to re-think in their curriculum design to make it more student-centered rand pee to peer rather than teacher centered. The results of the study's sub-problems can be summarized as follows: according to the sub-categories of proportional thinking, Hypothetical thinking, Probabilistic thinking and correlative thinking a significant difference was found between the SRES pre-exam total scores and post-exam total scores in favor of the pre-exam total scores. According to the sub-dimensions controlling variables and combinational thinking, there was no statistically significant difference in the pre-exam total scores. Between the SRES pre-exam and post-exam total scores of boys and girls students, there was no discernible difference. Only the combinational Thinking and correlative thinking sub-dimension showed a significant difference in the total scores of the SRES sub-dimensions.
Reading Comprehension Difficulties Among English Majored Sophomores at A University in Vietnam
Authors: Tran Ngoc Duc  , Nguyen Thi Lan
Published: June 2023

Reading comprehension is undoubtedly a fundamental skill, serving as a precursor to academic success, professional achievement, and lifelong learning as it enables language learners to acquire new knowledge and expand their worldview (Frey, Fisher, & Lapp, 2012) [11]. It is also considered the cornerstone of enhancing other productive skills, including speaking and writing skills, by facilitating the acquisition of vocabulary, syntax, and critical thinking abilities, all of which are crucial to effective communication and written expression. However, a significant number of learners encounter formidable challenges in comprehending written texts. This study endeavors to investigate the reading comprehension difficulties of English majored sophomores at Hanoi University of Industry (HaUI) as well as identify the factors behind them using a mixed-method approach. The research participants consisted of 186 sophomores, using a questionnaire and semi-structured interviews. The findings indicate that the bulk of the participants have difficulties in reading comprehension, particularly with regard to certain aspects such as vocabulary, background knowledge, grammatical structures, and reading strategies. The study also uncovers several contributory factors that impede reading comprehension, mainly a lack of reading habits and a shortage of interest and motivation for reading.
Classification of Gujarati Articles using Bernoulli Naïve Bayes Classifier and Extra-trees Classifier
Authors: Ravirajsinh Chauhan  , Janvi R Savani  , Janvi M Sheta
Published: June 2023

On the internet, information technology generated massive amounts of data. Because this data was initially primarily in English, the majority of data mining research was conducted on English text documents. As internet usage grew, so did data in other languages such as Gujarati, Marathi, Tamil, Telugu, and Punjabi, among others. We present a text categorization method based on artificial text summarization of Gujarati Articles in this paper. For the classification of text documents, various learning techniques such as Naïve Bayes, Support Vector Machines, and Decision Trees are available. We gathered articles from various e-newspaper editorials. This paper focuses on a brief review of the various techniques and methods for Gujarati Articles Classification, so that research in Text Classification can be further explored using various classifier algorithms. The dataset, which contains 1604 documents from 8 different categories, is used by the system. The result shows that Stacking Classifier with Bernoulli Naïve Bayes Classifier and Extra-trees Classifier is efficient for Gujarati Articles.
Use of Geo-synthetic Fiber for Strengthening of Sub Grade in Construction of Road
Authors: Shalini Tripathi
Published: June 2023

Geo synthetic materials are used for so many purposes in civil engineering projects. Strengthening, filtration, drainage are the main purposes of the geo synthetic fiber. Geo synthetic reinforcing elements are used to strengthen the ground surface or sub grade in soft and weak soil. Geo synthetic fiber increases the performance and life of highways it also reduce the maintenance cost of the highways. Geo synthetic layer of the material is used below the granular sub base. Geo synthetic layer also reduce the maintenance of the sub grade. It is a light weight polymer based material and easy to use in sub grade soil. By mixing the geo textile with the soil we can achieve the required strength of the sub grade.
Kinetic Study on Alkaline Hydrolysis of an Ester to Correlate the Solvent Effect with Some Thermodynamic Functions
Authors: Thaneshwar Subedi  , Prof. (Dr.) Ram Kumar
Published: June 2023

In the present research paper, second-order rate constants for the alkaline hydrolysis of ethyl benzoate and of ethyl p-nitrobenzoate in ethanol–water mixtures in the ethanol mol fraction range 0.16–0.72 and at 278.15– 318.15 K measured by a specially developed titrimetric technique. The results show interesting variations in the rate constants with ethanol content at the various temperatures, especially over the mol fraction ranges 0.16–0.25 and 0.4–0.5. The rate constant (k2) data, the Arrhenius activation energy (EA) and preexponential factor (A) for ethyl benzoate and the parameters of the fitted polynomials from which other derived thermodynamic functions may be calculated are provided as supplementary material.
Development of Railway Track Crack Detection System using Arduino
Authors: Prof. Najma Siddiqui  , Prof. Akil Ahmed  , Tejas Thakre  , Sujyot Jibhe  , Yogesh Karnake  , Samir Sheikh  , Yash Sangole  , Sohelraza Sheikh
Published: June 2023

The Indian Railways has one of the largest railway networks in the world, criss- crossing over 1,15,000 km in distance, all over India. However, with regard to reliability and passenger safety Indian Railways is not up to global standards. Among other factors, cracks developed on the rails due to absence of timely detection and the associated maintenance pose serious questions on the security of operation of rail transport. A recent study revealed that over 25% of the track length is in need of replacement due to the development of cracks on it. Manual detection of tracks is cumbersome and not fully effective owing to much time consumption and requirement of skilled technicians. This paper is aimed towards addressing the issue by developing an automatic railway track crack detection system with the proliferation of Internet of Things (IoT). It is possible to collect massive amount of data for localization and tracking of Railway Fault Detection.
Synthesis of Bismuth Nanoparticles Using Microwave Irradiation Method
Authors: Ni Wayan Mega Savira Utami  , Iis Nurhasah  , Ali Khumaeni
Published: June 2023

The synthesis of bismuth nanoparticles has been successfully carried out using Citrus limon extract. This study uses the green synthesis method using microwave irradiation. Microwave irradiation can speed up reaction time and has the advantage of homogeneous heating which can directly affect the nucleation process of nanoparticle synthesis. The synthesis of bismuth nanoparticles was carried out by mixing nitrate pentahydrate powder (Bi (NO3)3). 5H2O with Citrus limon extract and added with NaOH then heated with 450W microwave irradiation power at a heating time of 5 minutes. The formation of bismuth nanoparticles was indicated by a change in the color of the solution from orange to black and the UV-Vis spectrum of the nanoparticles showed a wavelength of 275 nm with an absorbance of 2.008 a.u. TEM characterization shows that the bismuth nanoparticle has a spherical shape with an average size of 35.56 nm.