bluuebunny/crossref_metadata_2025 huggingface dataset:
CureSageAI: Web based 2D Interactive Diagnosis and Healthcare Companion Driven by Artificial Intelligence
Authors:   Student of BE. Dept. of Information Technology MET-IOE, Nashik, India, Sayyed Amaan
Published: April 2024

People today struggle with a wide range of illnesses as a result of their lifestyle decisions and the surrounds. Consequently, it's critical to detect the illness as soon as possible in order to preserve a strategic separation from any unfavourable defeats. Now that these issues have been taken into account, we have developed a solution and suggested CureSageAI, a web-based programme, online 2D interactive diagnosis and healthcare companion. This research paper explores the methodology, challenges, and outcomes of CureSageAI, shedding light on its significance in transforming healthcare practices. The findings contribute to the ongoing discourse on the integration of artificial intelligence in healthcare for improved diagnostics and treatment strategies. Key Words: Machine Learning, Drug-Recommendation, Interactive Diagnosis, Random Forest Classifier, Naïve Bayes Classifier, Disease Prediction.
Investigation on Structural, Optical, and Thermal Properties of Graphene Oxide (GO) Nanoparticles
Authors:   Physics Research Centre, Department of physics,S.T.Hindu College,Nagercoil-629002,Tamilndu,India, N Thangaraj
Published: April 2024

The aim of the study , A nanoparticles of graphene oxide (GO) was synthesized by modified Hummer’s method. A new approach to synthesis graphene is oxidizing graphite powder with mixture with concentrated Sulphuric acid (H2SO4), Sodium Nitrate (Na NO3) and Potassium permanganate (KMnO4), Currently,an improved method for the preparation of graphene Oxide was most common one. The Graphene Oxide (GO) was characterized by X-Ray diffractration, FT-IR Spectroscopy, UV Visible Spectroscopy , Raman Spectroscopy and TGA analysis. The X-ray diffractration (XRD) results of Graphene oxide nanoparticles was found to be 12.9 nm with a hexagonal crystal structure. Key Words: Graphene oxide, Hummer’s method,Graphite, X-ray diffratcration, FI-IR analysis,UV-Visible spectroscopy ,Raman spectroscopy and TGA-DTA analysis
ULTRASONIC BLIND STICK USING GPS TRACKING
Authors:   UG Students, Department of Electronics & Communication Engineering, Sai Rajeswari Institute of Technology, Proddatur, Andhra Pradesh – 516360, M . Sumaya ,
Published: April 2024

We have come up with a special stick called the Blind Stick to help people who can't see well move around more easily. Our new version of the Blind Stick uses fancy technology to make it even better. It has sensors that can detect obstacles, like walls or objects in front of you, and it can even tell if it's dark or if there's water on the ground. When it finds an obstacle, it tells you by making a noise and vibrating, so you know to be careful. And if you forget where you put your stick, don't worry! We added a special remote control that makes the stick beep so you can find it easily. Our goal is to help visually impaired people move around more safely by detecting obstacles and finding their stick when it's lost. Additionally, our stick features a clever remote-control system that allows you to locate it if you misplace it. Simply press the button on the remote, and the stick will emit a sound, making it easy to find. With the help of modern technology and thoughtful design, our Blind Stick aims to improve the mobility and independence of visually impaired individuals, ensuring safer navigation and peace of mind.
A Machine Learning Approach for Multiple Disease Prediction
Authors:   Department of Computer Engineering  K.V.N Naik College Of Engineering, Nashik, Pathak Mr.Kanha Sanjay
Published: April 2024

Machine learning techniques have revolutionized the field of healthcare by enabling accurate and timely disease prediction. The ability to predict multiple diseases simultaneously can significantly improve early diagnosis and treatment, leading to better patient outcomes and reduced healthcare costs. This research paper explores the application of machine learning algorithms in predicting multiple diseases, focusing on their benefits, challenges, and future directions. The project is an overview of various machine learning models and data sources commonly used for disease prediction. Additionally, the importance of feature selection, model evaluation, and the integration of multiple data modalities for discussed the disease prediction. The research findings highlight the potential of machine learning in multi-disease prediction and its potential impact on public health. This project applies machine learning model to identify that a person is affected with few disease or not. This training model takes a sample data and train itself for predicting disease. Key Words: Disease Prediction, machine learning, classification, health informatics, Feature , KNN.
DeepFake Image Detection
Authors:   AISSMS Institute of Information Technology, Pune Pune, Maharashtra, India, S Mrs. Prajwal
Published: April 2024

The growth of deepfakes in today’s digital environ- ment raises significant doubts regarding the genuineness and dependability of the content found. To overcome this new challenge, Developing an effective method in the context of detection of deep images. In this study, we conduct a comparative analysis of three varied convolutional neural networks (CNNs) for deepfake image detection. Our experimental results highlight the strengths and weaknesses of each CNN architecture. We deliberate on the consequences of our results in the context of deep image perception and show which models may be better for certain situations. We also address the challenges and limitations associated with deep learning, such as the arms race of deep learning technologies and tools. In conclusion, our work adds to the expanding body of knowledge regarding deep image detection by comparing three major CNN architectures. Our findings provide important guidance for researchers, prac- titioners, and policymakers working to improve the security and authenticity of content in an increasingly digital age. As deepfake technology continues to evolve, the information presented in this study sets the groundwork for development of more powerful and updated deepfake detection mechanisms. Keywords—Deepfake, image detection, convolutional neural networks (CNNs), ResNet, InceptionV3, DenseNet, face forgery detection, GAN, forensics, deep learning, artificial intelligence, convolutional layers, pooling layers, fully connected layers, augmented data, accuracy, precision, recall, F1 measure, Area Under Receiver Operating Characteristic Curve.
Dry Mist Automizer
Authors:   Electronics and Telecommunication Engineering Jayawantrao Sawant College of Engineering, Pune, Patil Sourabh
Published: April 2024

Air-pollution poses a significant threat to public health and the environment, necessitating innovative solutions for effective control and mitigation. This project introduces a novel approach to pollution control through the development of a "Dry Mist Automizer " This system leverages advanced misting technology to disperse a dry mist of environmentally friendly substances, capable of efficiently capturing and neutralizing fine air pollutants up-to PM2.5 Due to the rapid development in the field of Automation industry, human life becoming more advanced and better in all aspects. Internet of things plays an important role in human life as well as co-operate field and educational field because they provide accurate information and complete the given tasks while we are busy in some other work. The implementation of the Dry Mist Automizer has the potential to significantly improve air quality, reduce the impact of pollutants on human health, and mitigate environmental degradation. By providing a proactive and automated solution, this project addresses the urgent need for innovative pollution control measures in the face of the increasing urbanization and industrialization. Key Words: Mist, Automizer, light, Pollution, human heath, Environment.
Key Components that Differentiate Cryptocurrency from Traditional Forms of Currency
Authors:   Dept of MCA-Trinity Academy of Engineering, Pune, India, KHOSE TANMAY
Published: April 2024

This research paper aims to explore the key components that make cryptocurrency stand out from traditional forms of currency. It delves into the unique features and characteristics of cryptocurrency that contribute to its growing popularity and potential impact on the financial landscape. By identifying and analyzing these components, we can gain a deeper understanding of the advantages and challenges associated with using cryptocurrencies as a medium of exchange and store of value.
Alcohol Detection and Over-Speed Alert System for Vehicles
Authors: kumar Mr. M. Sudheer
Published: April 2024

Road accidents stemming from alcohol impairment and over-speeding remain critical global issues, necessitating proactive safety measures. To address these challenges, we present an integrated system combining alcohol detection and over-speed alert functionalities for vehicles. Leveraging advanced sensor technologies and real-time data processing, the system detects alcohol presence via breath or touch-based sensors and triggers visual and audible warnings upon exceeding permissible limits, thus deterring drunk driving. Simultaneously, GPS and vehicle speed sensors monitor real-time speed, activating alerts when predefined thresholds are surpassed to caution against over-speeding. Through synergistic integration, this system offers comprehensive safety measures, evaluated through simulations and real-world testing to demonstrate effectiveness in reducing accidents caused by alcohol impairment and over-speeding, thereby contributing to a safer transportation ecosystem. Keywords: alcohol detection, integrated system, over-speed alert, road safety.
Solar Based Smart Irrigation System
Authors:   Electronics and Telecommunication at Priyadarshini College of Engineering Nagpur, Maharashtra,India, V.K. Dr.Taksande
Published: April 2024

This article presents a novel mobile application utilizing modern information and communication technology for agriculture, centered on the Internet of Things (IoT), embedded systems, and unmanned aerial vehicles (UAVs). The proposed agricultural monitoring system, employing Arduino microcontroller boards, Wi-Fi modules, and environmental sensors, facilitates data collection on temperature, humidity, and soil moisture. UAVs gather environmental data across the farm, enabling cloud-based computation of irrigation requirements for each region. Additionally, the system remotely monitors farm conditions, including water needs, through an Android mobile application, aiding farmers. Results indicate the effectiveness of our IoT-based system in reducing unnecessary water irrigation, aligning with smart agriculture goals. As the global population burgeons, the demand for increased food production escalates. Traditional farming methods necessitate extensive labor and water usage. This paper introduces a compact automated agricultural system prototype. Employing directional guides, the hardware enables precise processes such as seeding, humidity sensing, and watering, ensuring optimal crop growth and economic viability. From seed sowing to watering, the entire system operates autonomously. Testing involved integrating the hardware with a scaled-down plantation model to validate functionality. Keywords: Solar Panels, Arduino Uno, Soil Moisture Sensor, Relay, Lithium Battery, PIR Sensor, TP4058 Module, Gear Motor, LDR Sensor, Submersible Pump, Buzzer.
Web Scraping for E-Commerce Websites
Authors:   Dept of MCA-Trinity Academy of Engineering, Pune, India, Bankar Atharva
Published: April 2024

e internet is a rapidly expanding environment where a vast amount of info is available, yet obtaining it might be challenging. Web scraping is therefore a crucial technique for obtaining data.Data can be extracted from different websites using a process called web scraping. Depending on the technology used, end users can obtain the data in spreadsheet, csv, json, xml, and database forms. Numerous fields, including e-commerce, market research, brand monitoring, and others, use web scraping.Our solution suggests a way to compare product details that are retrieved from e-commerce websites.Various tools are used for data extraction, including BeautifulSoup, Selenium, Scrapy, and others. BeautifulSoup is used by our system to extract data. Data is stored in a MySQL database following extraction. Our webapp then presents this data in a format that is similar. It takes time to visit each website individually and compare product details; therefore, in order to help the user compare products, our system will show all of the product details from different websites.
Testing & Evaluation of Road Bounce PRO-Mobile Phone App Based Technology for Road Measurement
Authors:   Assistant Professor, Global Group of Institutes, Amritsar, Singh, Jaspinder
Published: April 2024

Road roughness plays a crucial role in assessing the overall condition of a road. It impacts various factors such as vehicle operating costs, speed, comfort, safety, fuel efficiency, and wear and tear. Every road user seeks a smooth and pleasant driving experience. The measurement of road roughness is a key task that influences maintenance decisions. According to the Indian Road Congress (IRC) standards, roughness measurements should be conducted every 6 months on highways to determine the necessary functional overlay requirements based on the roughness index. Roughness measurements using profile meters namely Rod & Level, Dipstick, Merlin etc. all are time consuming. The Road Roughness Measurement System (RTRRMS) is a system installed on vehicles to assess how the vehicle reacts to the pavement profile. In India, the Central Road Research Institute (CRRI) has developed a 5th Wheel Bump Indicator that is mounted on cars to measure roughness. The RTRRMS 5th Wheel Bump Indicator utilizes binary true/false information and range-based analog data generated by digital accelerometers commonly found in smartphones. This measurement system is facilitated through an application called "ROAD BOUNCE”. This paper aims to showcase the results obtained from the testing and assessment of an App-based roughness measurement technology in terms of its precision and user-friendliness. The evaluation was conducted across various vehicles and mobile phones, considering different factors such as speed, tire pressure, gradients, and more. Keywords:- Road Bounce, RTRRMS, Roughness Measurement, Cell Phone based Roughness.
Research Paper on Diseases Prediction Using Machine Learning
Authors:   Bachelor Of Computer Science & Engineering Government College of Engineering, Chandrapur, Maharashtra, India., Harde Rakshita
Published: April 2024

There may be drawbacks to using traditional methods for both diagnosis and treatment, especially in the case of serious disorders. Consequently, it's critical to have accurate and analysis of health issues in a timely manner for efficient treatment and prevention. When developing a medical diagnosis system, machine learning (ML) algorithms can be a useful tool as they can yield more accurate disease predictions than traditional approaches. Our team has effectively created a disease prediction system by utilizing multiple machine learning techniques, such as Decision trees, Naive Bayes, and KNN. We have established a framework that facilitates the creation and utilization of prediction models through the implementation of a rule-based methodology. Because of the system's exceptional accuracy, doctors are better equipped to predict and diagnose illnesses early on and resolve health-related issues more skill fully. Index Terms: Prediction, Symptoms of Disease, Machine Learning, Classification
Review on Automatic Detection & Counting of RBC’s by Using Image Processing Technique
Authors:   Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, Maharashtra, India, Rekalwar Aachal
Published: April 2024

Accurate counting of red blood cells (RBCs) in microscopic images is critical for various medical diagnoses and research purposes. Manual counting methods are labor-intensive, time-consuming, and prone to human error. This project aims to automate the RBC counting process using advanced image processing techniques. The primary objective is to improve the efficiency of the counting process, minimize subjectivity, and increase productivity in medical laboratories. The proposed method uses computer vision algorithms to analyze digital images of blood smears captured under a microscope. A combination of image segmentation and morphological operations is then applied to isolate individual RBCs, overcoming challenges posed by overlapping cells and variations in staining. Keywords: Image processing; Segmentation; Red Blood cells; Hough Transformation; RBC count.
Predicting Multiple Diseases with Machine Learning and Streamlit: Enhancing Healthcare Digitally
Authors:   Dept. Of MCA, Trinity Academy of Engineering, Pune, India, Bandal Urvashi
Published: April 2024

Machine learning (ML) and streamlit technologies have emerged as strong tools in the field of healthcare, with the ability for predicting and diagnosing many diseases with impressive precision and speed. This research study examines the transformational potential of ML algorithms combined with streamlit for disease prediction, highlighting their numerous uses and significant impact on healthcare delivery. Predictive models can be constructed using broad datasets and powerful machine learning techniques to anticipate the onset, development, and treatment results of many diseases, ranging from chronic ailments to infectious illnesses. The inclusion of streamlit creates an easy-to-use user experience for medical personnel and patients alike, allowing for smooth engagement with models of prediction and improving decision-making processes. In addition, the use of such prediction models has the potential to improve early detection, personalized therapy techniques, and resource management in healthcare systems. However, the application of ML-based disease prediction systems raises concerns about data privacy, model clarity, and ethical consequences. By overcoming these obstacles and seizing the opportunities provided by ML and streamlit, the future of healthcare holds enormous promise for improving patient outcomes and expanding medical research.
Design and Fabrication of Tilting Trike
Authors: Chaudhari Mr. Chinmay. P.
Published: April 2024

Safety is the most crucial factor for two-wheelers. The tilting mechanism boosts the maximum speed along bends. The adoption of tilting mechanisms in automobiles would reduce the number of skid-related incidents. It will improve the vehicle's dynamic and directional stability, road grip, and passenger comfort. The tilting trike has a system that comprises a parallelogram connection, allowing it to tilt like any other two-wheeler. The tadpole form of the trike gives more stability than the delta design. The tilting mechanism is operably attached to the vehicle's frame by a series of vertically aligned bearings that hold it in place. The system guarantees that the independent wheels remain properly aligned during all motions. Key Words: tadpole, trike, skidding, directional stability, parallelogram linkage
ANALISIS DETERMINAN FAKTOR SISA HASIL USAHA PADA KOPERASI DI KOTA TEBING TINGGI
Authors: Situmorang Daniel , Purba Rahima Br. , Maisyarah Renny Maisyarah
Published: April 2024

The aim of this research is to determine the influence of own capital, outside capital and business volume partially and simultaneously on the remaining business results in cooperatives in Tebing Tinggi City from 2018-2022. The research method used is quantitative. In this research, the data analysis technique used is statistical analysis using SPSS software. The results of partial hypothesis testing, own capital has a significant effect on the remaining business results in Cooperatives in Tebing Tinggi City for the 2018-2022 period, external capital has a significant effect on the remaining business results of Cooperatives in Tebing Tinggi City for the 2018-2022 period, business volume has an effect significant impact on the remaining business results of cooperatives in Tebing Tinggi City for the 2018-2022 period. Simultaneously, own capital, outside capital and business volume have a significant effect on the remaining business results of cooperatives in Tebing Tinggi City for the 2018-2022 period.
Initial factors impacting vertical displacement, stresses, and propagation of cracks in three-layered steel fiber concrete beams
Authors: Lam Thanh Quang Khai
Published: April 2024

The main aim of the study is to examine the input parameters of three-layered steel fiber concrete beams. Bending RC beams is studied by many different scientists. Multilayer RC beams using SF concrete are one way. In high compressive and tensile stress zones, this method improves beam load strength and reduces cracks. The main goal is to decrease beam stress. Repairing broken three-layered SF-reinforced concrete beams by adding more concrete on top or below the current layer is a benefit. Modifying input parameters during three-layered beam design greatly affects beam efficacy. In this paper, the authors conducted a study using ANSYS simulation and nonlinear material analysis. The objective was to investigate the behavior of three-layered bending RC beams subjected to two concentrated loads. Specifically, the study examined the impact of varying the content of SF in the RC, as well as the effects of stirrup at the ends of the beams. Furthermore, the study explored the influence of changes in the quantity and size of steel bars in the region of tensile strength, along with the effect of varying the SF concrete layer's thickness. The survey results on three-layered beams were used to create diagrams that depict the relationship between load and vertical displacement and load and stress area. These diagrams also help determine the initiation and progression of cracks in three-layered beams, starting from the application of load until the beams become damaged. Ultimately, this information allowed us to identify the specific load level that caused the beams to crack and become damaged.
Corporate governance and Indonesian state-owned companies’ performance: Agency and institutional perspectives
Authors: Jahja Nathan Junino , Mohammed Nor Farizal , Lokman Norziana
Published: April 2024

The purpose of this study is to investigate the relationship between corporate governance practices and Indonesia’s SOEs' performance. State-owned enterprises (SOEs) are often criticized for underperformance and political manipulation, raising doubts about the efficiency of implemented corporate governance mechanisms. Additionally, this research examines the moderating role of board diversity on the relationship between good corporate governance (GCG) and performance. This study adopted a quantitative method to analyze secondary data from SOE’s financial statements from 2012 to 2019. The key independent variable is the GCG score, while return on assets is the dependent variable. The regression model incorporates managerial diversion variables and control variables. Surprisingly, the results found that corporate governance practices adversely affect the performance of Indonesian SOEs, particularly when board members have political affiliations. Institutional theory explains the negative relationship between the implementation of GCG and the performance of state-owned companies from coercive and mimetic perspectives. The phenomenon often happens in a developing country when a new system is adopted without fully understanding its mission. Additionally, the significant role of the Board of Commissioners' political connection as a moderating variable supports the conjecture of the managerial diversion perspective. This research contributes empirical insights for SOE stakeholders about corporate governance implementation and the performance of Indonesia's SOEs from the perspective of an emerging economy. The paper contributes novel views to agency and institutional theory for developing countries.
Adopting Critical Success Factors (CSF) Methods to Achieve High Management Performance on Dairy Farms
Authors: Castelo Branco Roberta de Sousa P. , Alberto Gonçalves Carlos , Luiz Soares João , Maffini Gomes Clandia
Published: April 2024

It is known that the agribusiness sector in Brazil is made up of several companies operating in different business models in their environment. They operate in production side as no cyclical and the market side as cyclical, such as milk and dairy products. It is, however, characterized by dynamic and complex processes and competitive events, applied technologies, specialized labor problems, with risks and uncertainties inherent to the environment. Dairy farming is a relevant segment of this sector, both in terms of representativeness and wealth generation. Therefore, dairy farms need to be aware of innovations, and be effective in the pursuit of productive performance and profitability. The present study aims to evaluate the Critical Success Factors (CSF) involved in the search for high productive performance and profitability in dairy farms assisted by technical and managerial consulting of an agribusiness alpha company. The research has a qualitative approach and a descriptive conclusive character. Multiple case studies were carried out, and the units of analysis are 6 farms, their respective leaders (owners and managers), and consultants specialized in dairy farming from the company Alfa de Consultoria. The results demonstrate that the CSFs that promote high performance in dairy farms are: financial management; leadership and people management; process management; employee training and development; adequate sizing of the project; search for continuous improvement; management of indices and technical indicators; ensure animal comfort; technical assistance and consultancy.
The Challenger’s Triumph: Battling a Tech Titan
Authors: Miksa Leah , Nandedkar Ankur
Published: April 2024

The primary purpose of this case is to promote discussion related to effective human resource management practices in undergraduate business courses. This business case revolves around the issues of employment discrimination, retaliation, and gender inequality. In 2020, 38-year-old employee Chelsey Glasson sued Google, alleging that she and others encountered discrimination while pregnant. After facing retaliation from the company, Glasson decided to bring the issue to light. She claimed that managers would give lower performance scores to employees who notified the company they were pregnant, stating that this step in the employee’s life would hinder their performance towards the company.
The effect of financial literacy and demographic variable on behavioral biases
Authors: Murhadi Werner Ria , Frederica Devina , Marciano Deddy
Published: April 2024

The current research investigates the association between demographic factors, including financial knowledge and demographic characteristics like gender, occupation, age, education, and income, and investor behavior biases, including bias against overconfidence, disposition effect, and herding bias. Further enhancement of behavioural finance research is required in Indonesia. This study applied a quantitative analysis technique called structural equation modeling. Stock investors aged 17 and 40 were given questionnaires for this study. Respondent data collection was carried out by distributing questionnaires through several social media sites, such as Line, WhatsApp, and Instagram, to members of the investor’s community. The total number of respondents obtained from distributing this questionnaire was 170. According to the study, overconfidence bias significantly affects income and financial literacy. However, overconfidence bias does not affect gender, occupation, investment experience, education, or age. Furthermore, for behavioral biases, the disposition effect does not affect financial literacy or all demographic factors. Finally, for herding behavior bias, bias significantly affects financial literacy, investment experience, and income, but herding bias does not affect gender, occupation, education, age, or income. These results have implications for investors with a high level of financial literacy, which will help them determine rational investment decisions. This research also has implications for high-income investors who tend not to follow herding behavior.
The impact of a fair value accounting application on takaful insurance surplus: Insights from Shikan insurance and reinsurance company limited in Sudan
Authors: Ali Musa Fadlalla , Issa Salah Babiker , Khairy Sallam O F
Published: April 2024

This study examines the impact of fair value accounting implementation on the quality of measuring, equitable distribution and enhanced disclosure of takaful insurance surplus within Shikan Takaful Insurance and Reinsurance Company Limited's financial statements. Data was collected using a two-part questionnaire and a descriptive analysis technique: one gathering personal data about respondents and the other exploring study themes across four dimensions to test hypotheses. The questionnaire was distributed to a random sample of 60 corporate employees and 54 individuals responded, reflecting a 90% response rate.   Data analysis used the Statistical Package for Social Sciences (SPSS). Three hypotheses were tested: (1) a positive relationship between fair value accounting and the accuracy of takaful insurance surplus measurement. (2) A positive relationship between fair value accounting and the equitable distribution of takaful insurance surplus. (3) A positive correlation between fair value accounting and enhanced disclosure of takaful insurance surplus. Results demonstrate a positive influence of fair value accounting on surplus measurement quality, equitable distribution and improved disclosure in company financial statements. The study recommends the crucial adoption of fair value accounting practices in insurance and reinsurance companies emphasizing the necessity of maintaining commitment to fair value accounting. Additionally, promoting full disclosure of takaful insurance surplus in financial statements is highlighted as a valuable tool for attracting new policyholders.
The duality of cohesion and coherence in Ibn Zurayq's poem "Do Not Reproach Him"
Authors: Al-Thunebat Sateh , AL-Masarwah Thamer Ibrahim , Almazaidah Ismail Suliman
Published: April 2024

This research conducts an in-depth examination of discourse analysis tools specifically cohesion and coherence within the poem "Do Not Reproach Him" by the Baghdadi poet Ibn Zurayq. The research highlights five essential tools such as references, substitution, deletion, conjunction and lexical cohesion while focusing on the concept of cohesion to examine the nuances of textual utterance. Additionally, it integrates coherence theory focusing on elements such as overall structure, titling, background knowledge, intentional title and suggestiveness and adherence to contextual interpretation and context. The results highlight a significant lack of coherent features in the poem particularly the complete lack of proper nouns. Nevertheless, various cohesion strategies assist in achieving a level of textual cohesion and semantic consistency that is considered acceptable. This is facilitated through interpretation that supports the overall harmony of the poem. According to the study, the poet was often dispersed and unbalanced which made the audience sympathetic when they read the poem. Remarkably, this sentiment endures over time, persisting long after the composition of the poem. The study underscores the enduring impact of the poet's portrayal of dispersion and imbalance resonating with readers through the years and offering valuable insights into the lasting emotional and textual resonance of poetic compositions.
Urdu fillers used by English teachers in ESL classrooms
Authors: Shamsudin Sarimah , Bhatti Aisha , Said Seriaznita Mat
Published: April 2024

Pakistan is a bilingual country with nine major and 68 minor languages. It is quite common for English language teachers to use their first language (L1) in their second language (L2) classrooms which is called code switching. This predominant practice of code switching can serve as a filler to ensure the continuity of an interaction or fill a communication gap. Hence, this paper aims to describe the different kinds and purposes of Urdu fillers that three English as a second language (ESL) teachers from Pakistan use when teaching students in ESL courses at the university level. The data consists of four classroom recordings of each teacher’s lectures which have been transcribed for qualitative analysis. The overall findings showed that ESL teachers produced more lexicalized filled pauses than non-lexicalized filled ones in Urdu. The lexicalized filled pauses served as an editing tool, a response marker, an opening frame marker, an empathizer, a time-creating device or a positive reaction. On the other hand, the non-lexicalized filled pauses were used as reaction marker, hesitation marker, device for keeping the floor, device while searching for a word or breathing pause. Hence, this study suggests the importance of fillers as a language teaching and learning tool.
Fake Credit Transaction Detection Using Machine Learning
Authors: Sirigineedi Mr. Manikanta , Madhusree Balam , Praneetha Chode Sri , Devi Mandalapu Anjali , Harshitha Vinnakota Sai Sri
Published: April 2024

In today's digital age, detecting and preventing fraudulent credit card transactions is of paramount importance. As technology advances, criminal methods are also becoming more sophisticated. The use of machine learning in credit card fraud detection and mitigation has grown significantly. In this research study, a novel method for identifying fraudulent credit card transactions with machine learning algorithms is presented. The proposed system leverages past transaction data and various characteristics associated with each transaction, such as location, transaction amount, and time, to build a predictive model. These models are trained to recognize patterns that point to fraudulent activity using supervised learning methods like random forests and support vector machines. Several metrics, including accuracy, precision, recall, and F1 score, are used to assess the performance of the model. According to experimental data, the suggested method works better than conventional rule-based fraud detection systems and achieves high accuracy. The system can effectively detect fraudulent credit card transactions while minimizing false positives. Machine learning improves the security of credit card transactions by detecting fraud in real time. In summary, this study advances the field of credit card fraud detection by using machine learning algorithms to counteract the constantly changing tactics used by fraudsters.
Improving Product Marketing by Predicting Early Reviewers on E-Commerce Websites
Authors: Kodati Dr. Sarangam , Dhasaratham Dr. M. , Srikanth Veldandi , Reddy K. Meenendranath
Published: April 2024

Customers now often consult online surveys before making a smart purchase decision. Much of the time, the early surveys of an item fundamentally affect the deals of that item later on.In this study, we move up and focus on the conduct characteristics of early analysts via their posted surveys on two actual enormous web based company stages, i.e., Amazon and Cry. To be clear, we divide an item's lifecycle into three discrete phases: the beginning, the middle, and the end. Early commentators are clients who have posted surveys during the pilot phase. We provide a quantitative portrait of the first reviewers based on their rating habits, the popularity of the items they reviewed, and the ratings of support they received from other users. We have viewed that as (1) Early commenter will often downgrade a higher average rating, and (2) An early analyst tends to publish more positive polls.
Effects of Calcium Propionate in Drosophila Melanogaster
Authors: H Aishwarya
Published: April 2024

Calcium propionate, a common food preservative, has been widely used to inhibit mold growth and prolonging the shelf life of various food products. However, its potential the impact on living organisms, especially in the context of eating, remains largely unexplored. In This study aimed to elucidate the effects of calcium propionate supplementation Drosophila melanogaster, a model organism widely used in biological research. In this study, we studied survival rates, lifespan, motility changes, and gut Microbes and the reproductive cycle of D.melanogaster.
Assessment of the Political Representation of Elderly Persons in the Governance of Ondo State of Nigeria between 2003 and 2018
Authors: O Akinrolabu R. , Haruna Mustapha A. , O Musa Toyib
Published: April 2024

The aim of this research study assessed the elderly people’s political representation in the governance of Ondo State between 2003 and 2018. Available and existing literature noted that the elderly people represent huge percentage of the Nigeria’s population as equally obtainable as in Ondo State where the focus of the research work lies. The study therefore investigated the inversely connection of elderly people’s population compared to elective and appointive positions occupied in Ondo State specifically the Executive and legislative levels of governance in the periods under study. The study adopts theories of ageing, activity and political behaviour as its theoretical frameworks to guide the work. The methodology used consists of both primary and secondary data which derived from the use of interview and survey research with attention to the administration and analysis of well-structured questionnaire and the use of Focus Group Discussion. Also, Secondary data sourced through textbooks, journals, Internet Materials and Government Official bulletin on the subject matter, while statistical means such as percentage (count) representation, frequency table and pictorial representation were engaged to analysis the findings of the study. The research examined the impacts of senility, health, malnutrition, lack of shelter, fear of depression, isolation and financial incapacity as constraints to political participation and representation in the governance of Ondo State and Nigeria in general. The outcome of the research study provided essential tools and revelations for scholars, researchers, governments, electoral bodies and public policy analysts in Ondo State and Nigeria in the search for elderly people’s participation in elective and appointive government positions as the outcome enhanced future research study.
Examining social support and self-esteem in high-performance sportswomen in Spain
Authors: Portela-Pino Iago , Brea-Castro Millán , Alvariñas-Villaverde Myriam
Published: April 2024

The purpose of this study was to determine whether perceived social support is related to self-esteem and the type of sport performed by elite female athletes. 243 Spanish elite female athletes completed the Multidimensional Scale of Perceived Social Support. The results show that the greatest social support for high-performance sportswomen is family. The social support of the family and the group of friends has an impact on their self-esteem. Athletes who practice team sports versus those who practice individual sports have higher self-esteem and perceive friends as their main social support. In addition, family social support predicts self-esteem.
Relationships between throwing distance and physical strength in female hammer throw: Estimating physical strength requirement corresponding to throwing distance
Authors: Maeda Kei , Kato Tadahiko , Mizushima Jun , Kuroda Mao , Ohyama-Byun Keigo
Published: April 2024

The purpose of this study was to clarify the relationships between female hammer throwers’ physical strength and their throwing performance and to create standard values corresponding to throwing distance. Eighty-two female hammer throwers, with the throwing distance ranging from 30.31 to 63.82 meters, participated in this study. The questionnaire was designed to collect data on physical strength. Pearson's product-rate correlation coefficient was used to examine the relationship between each item and the throwing distance. A single regression analysis was performed with each item which was significantly correlated to the throwing distance as the dependent variable and the throwing distance as the independent variable to estimate the standard values corresponding to throwing distance. The results showed that all physical strength variables, except for 30 m sprint, were significantly correlated with the throwing distance, with weight training variables having the higher correlation coefficients. In addition, standard values corresponding to throwing distance were obtained using a single regression analysis.
Upper-limb joint kinematics analysis of accuracy dart throwing at different vertical targets between different level dart players
Authors: Huang Tsung Yu , Hamill Joseph , Yang Hsin , Tang Wen-Tzu
Published: April 2024

Darts has evolved from a traditional pub room game to a professional sport. More and more people worldwide are participating in the sport of dart throwing. In order to enhance throwing performance, it is important to understand the mechanics of precise dart throwing techniques. Therefore, the purpose of this study was to investigate the fine-tune control of joint kinematics with different vertical targets between different skill levels to understand how to increase the success rate and generate precise fine-tuning of the motor system. Eight advanced players and eight intermediate players participated in this study. A motion capture system measured the kinematic data of the arm during throwing. The results indicated a significant interaction in shoulder internal rotation velocity (p = .031) and elbow supination velocity (p = .047) between advanced and intermediate groups with the different vertical targets. When intermediate players threw darts at different vertical targets, changes in shoulder internal rotation velocity and elbow supination velocity were observed. Conversely, these phenomena were not present in the advanced group. Additionally, we found that dart accuracy or light weight throwing requires an more angle of elbow pronation and generate high angular velocity of wrist palmar flexion during the release process. Based on the findings of this study, these results could provide a reference guide for dart throwing to improve the throwing performance.
O que sabem alunos e professores de cursos integrados da EPT sobre propriedade intelectual?
Authors: Santos Rodrigo Alves dos , Lemos Felipe Augusto do Carmo
Published: April 2024

Este artigo apresenta uma síntese dos resultados de uma investigação realizada no âmbito de um mestrado profissionalizante em educação profissional e tecnológica entre os anos de 2020 e 2022. No recorte aqui apresentado, alunos e professores de uma escola de EPT responderam a um instrumento de coleta de dados digital que buscou apreender o nível de conhecimento que tinham sobre propriedade intelectual, seus conceitos e desdobramentos institucionais. Os resultados apontam que, entre os discentes, esse conhecimento é altamente precário, enquanto os docentes da área técnica inquiridos revelam dominar e transitar bem pelos conteúdos, conceitos e protocolos institucionais relativos ao tema. Tem-se, portanto, um quadro que aponta para um descompasso entre esse saber professoral sobre a propriedade intelectual, seus conceitos e protocolos e aquele que é partilhado/transferido para os alunos da EPTNM. Dito de outro modo, no contexto por nós investigado, mesmo que os docentes indiquem conhecer as temáticas por nós investigadas, isso não está se convertendo em um conhecimento partilhado com os discentes.
Desafios para inclusão de escolares com deficiência em um estado do brasileiro
Authors: Bruno Paola Regina Martins , Rodrigues Graziane Pacini , Alvim Damarys Paula Alves , Figueiredo Francisco Winter dos Santos , Meira Janeisi de Lima , Machado Andreia de Bem , Cabral Gabriel Martins , Quaresma Fernando Rodrigues Peixoto
Published: April 2024

Este artigo busca estimar o percentual de alunos com deficiências no sistema de informação da rede estadual de educação do Tocantins e avaliar o consenso de categorias para diferentes tipos de deficiências entre sistema de gestão estadual e nacional. Trata-se de pesquisa exploratória descritiva, realizado com dados secundários do banco da Gerência de Estatística e Informações Educacionais da Diretoria de Gestão da Educação Básica da Secretaria de Educação do Tocantins (SEDUC/TO) e Ministério da Educação (MEC). O período da coleta foi de janeiro a julho de 2023. Foram incluídos dados dos portais do Sistema de Gestão Estadual (SGE/SEDUC/TO) e Educacenso/MEC de escolas públicas e privadas, estudantes do ensino fundamental e médio no período de 2010 a 2022. Excluídos dados suspeitas, inconsistentes e duplicidade de informações. Aproximadamente 1 a cada 10 alunos da rede estadual de ensino no Tocantins apresenta algum tipo de deficiência. Entre os 140.324 alunos foram identificados 14.392 alunos com deficiência, representando um percentual de 10,3%, superior à média nacional (8,7%). Quanto aos sistemas de informação, as lacunas e a falta de uniformidade identificada revelam um panorama antigo e complexo, interligando questões técnicas administrativas e políticas. Para compreender as deficiências e desenvolver estratégias efetivas que promovam a inclusão social e melhorem a qualidade de vida destas é essencial investir e reformar os sistemas de informação, adotando uma abordagem integrada e coordenada entre diferentes níveis de governo e setores da sociedade.
Análise do desempenho de estudantes de licenciatura nas questões de conhecimento geral do Enade
Authors: Geglio Paulo César , Silva Mylena Costa da
Published: April 2024

Na educação brasileira as avaliações realizadas em larga escala são recentes, elas se tornaram mais sistemáticas a partir início dos anos 2000, sobretudo em função da promulgação da Lei de Diretrizes e Bases da Educação Nacional (LDB) nº 9394/96, com o objetivo de produzir informações sobre a educação no país. Nesse contexto, o Exame Nacional de Desempenho de Estudantes (Enade) visa avaliar o desempenho de estudantes dos cursos de graduação. Nesse texto apresentamos uma análise sobre os dados do Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep), a respeito do desempenho dos estudantes de licenciatura nas provas do exame realizadas nos anos de 2005, 2008, 2011, 2014 e 2017. A pesquisa foi norteada pelas seguintes perguntas: como foi o desempenho dos estudantes de licenciatura no Enade? Em quais aspectos eles tiveram mais dificuldade? Os dados analisados foram coletados dos relatórios síntese do Enade, disponíveis no site Inep. A análise dos dados indica desempenho insatisfatório, contudo, outros fatores devem ser considerados na reflexão a respeito do que produz essas dificuldades, e ao que elas estão ligadas. A capacidade de interpretação e argumentação textual se revelam como obstáculos para os estudantes na realização das provas, em todos os anos, em boa parte dos cursos.