Reviewerly/exHarmony huggingface dataset:
Research Paper on Groovy

Abstract: Developers are often reluctant to adapt tothe new framework since they need to allocate time in training and adapt. This study aims to determine the need for benchmarking JS and ReactJS application in a developer’s viewpointcontributing detailed attention to React features and, in this context, evaluating the gap in comparing JS and React applications by considering the performance as principal criteria. To testthe hypothesis, considered optimizedmethods, coding standards, and bestpractices using proper design andstructure, using event listeners in JS, react-virtualized list, avoiding mutated values, and considering the production environment in React JS applications. The results showed a massive difference in the performance between the applications in high traffic situations sincethe React application uses virtual DOM that rendered what is needed at that point,making ReactJS approximately 97% faster than JavaScript. On this basis, React should be considered fordeveloping apps as its advantagesoutweigh its disadvantages, making it easy to migrate for any organizations or developers.
Secure Digital Voting System Using Blockchain Technology

Abstract: The paper aims to propose a new system for conducting secure digital voting using blockchain technology. The existing voting systems face several challenges such as a lack of transparency, security vulnerabilities, and limited accessibility. To overcome these challenges, this research paper proposes the use of blockchain technology to provide a decentralized, transparent, and secure voting system. The paper outlines the technical design and architecture of the proposed system, highlighting the key features and benefits. The system is designed to ensure the integrity and confidentiality of the voting process, while also providing accessibility and ease of use for voters
Application of Blockchain to Secure e-FIR

Abstract: Electronic First Information Report (e-FIR) is a document filed to the police stations by a victim or accuser when offense is committed. In traditional e-FIR databases, offense’s records can be tampered because of its centralized nature. Also intentional false e-FIR can be registered. Thus, data transparency and integrity is big concern. To overcome this problem e-FIR with decentralized blockchain system can be integrated with e-FIR portal. The main characteristics of the blockchain technology are advanced security and decentralized system. This technology uses the encrypted blocks to make FIR data secured. Proof of Stake (PoS) protocol is used in this system. Users have to submit e-FIR through portal which will be stored in blocks in blockchain. Due to advanced security feature of system, data tampering will be prevented. Integrating such FIR registration system will ensure transparency and enhance data integrity.
OPTIMAL USE OF BIRAD DESCRIPTORS FOR BREAST CANCER DETECTION BY EMPLOYING DATA MINING WITH CORRELATION OF BIOPSY OUTCOME

Background: Breast cancer (BC) is commonest among cancer patients, required early detection to be cured. Multiple techniques are used for the diagnosis of BC but mammography is a commonly available and effective tool around the world due to its ability to diagnose BC before it becomes palpable, in reward treatment cost also decreases. Computer-aided diagnosis (CAD) is advanced research to support medical practitioners in cancer diagnosis.&#x0D; Methods: In comparison to the segmentation technique our research has used “extracted BIRAD characteristics information” from the mammograms. A novel data mining approach for the BIRAD lexicon has been researched in connection with the interactive medical experience. A globally recognized dataset (DDSM) has been used. The characteristics extracted from the mammograms are processed by the data mining method to achieve critical ranges for cancer detection. Multiple classification models with peculiar characteristics have developed to detect BC at the curable stage. &#x0D; Results: A total of 1863 patients with an average age of 61 years were evaluated, 48% indicated with malignancies, and 52% with benign lesions, proved with truth biopsy. Critical ranges, by the development of multiple CAD tools, showed remarkable improvement in the recall (NB; 26.9%) and precision (CART; 17.6%) along with reduced FP rate (CART; 16.7%).&#x0D; Conclusion: The proposed method is profitable because of the individuality of CAD with four classification models along with the practitioner’s experience and radiologist’s opinion in the early detection of BC. For avoiding unnecessary biopsies and differentiating benign and malignant tumor the BIRAD features extraction was benevolent.
ChatGPT and Simple Linguistic Inferences: Blind Spots and Blinds

This paper sheds light on the limitations of ChatGPT's understanding capabilities, focusing on simple inference tasks that are typically easy for humans but appear to be challenging for the model. Specifically, we target (i) grammatically-specified entailments, (ii) premises with evidential adverbs of uncertainty, and (iii) monotonicity entailments. We present expert-designed evaluation sets for these inference types and conduct experiments in a zero-shot setup. Our results show that the model struggles with these types of inferences, exhibiting moderate to low accuracy. Moreover, while ChatGPT demonstrates knowledge of the underlying linguistic concepts when prompted directly, it often fails to incorporate this knowledge to make correct inferences. Even more strikingly, further experiments show that embedding the premise under presupposition triggers or non-factive verbs causes the model to predict entailment more frequently {regardless} of the correct semantic label. Overall these results suggest that, despite GPT's celebrated language understanding capacity, ChatGPT has blindspots with respect to certain types of entailment, and that certain entailment-cancelling features act as ``blinds'' overshadowing the semantics of the embedded premise. Our analyses emphasize the need for further research into the linguistic comprehension and reasoning capabilities of LLMs, in order to improve their reliability, and establish their trustworthiness for real-world applications.
Perbaikan Pembukuan dan Pelatihan Penyusunan Laporan Keuangan Pada Lembaga POS PAUD Kenanga Kapanewon Nanggulan

School financial management consists of various activities that organize school finances starting from planning, bookkeeping, spending, monitoring and accountability of school finances. In carrying out these activities, financial managers experience difficulties in the process due to the factor of knowledge that is not optimal. The purpose of this service is to introduce accounting knowledge to facilitate the preparation of financial reports, help improve the preparation of transactions into bookkeeping and provide assistance in preparing financial reports using Microsoft Excel at POS PAUD Kenanga institutions. This activity was carried out through three stages, namely the planning stage, the implementation stage and the evaluation stage. The planning stage begins with a location survey, preparing a permit to carry out activities, identifying problems then preparing training materials. The implementation stage is carried out by educating material about bookkeeping and simple financial reports then there is a question and answer session or discussion and providing assistance in preparing financial reports based on Microsoft Excel. The evaluation results of this training activity show that it has run well in accordance with the objectives set.
Analysis of the Distribution of Diarrhea Patients in Bogor Regency Month Using the Ordinary Kriging Method

Ordinary kriging is the most widely used kriging method. It serves to estimate a value at a point of a region for which a variogram is known, using data in the neighborhood of the estimation location. Ordinary kriging can also be used to estimate a block value. With local second-order stationarity, ordinary kriging implicitly evaluates the mean in a moving neighborhood. To see this, first a kriging estimate of the local mean is set up, then a simple kriging estimator using this kriged mean is examined.&#x0D; The objective of this study was to determine the pattern of diarrheal disease spread in Bogor Regency. The method according to the purpose of this research is Ordinary Kriging. To know the distribution of diarrhea disease in Bogor Regency by looking at the result of countour plot. Based on the countour plot, the area that has the highest number of diarrhea sufferers around Barekah and Bojonggenteng villages is marked with White contour color with the range of diarrhea sufferer is 40 - 43 people. Areas with the highest number of diarrheal diseases indicate that the area has a relationship with the number of diarrheal diseases in the surrounding area. Therefore, the area needs to be prioritized in improving water sanitation, counseling to the community and improving health services.
Cluster Analysis Using Ensemble ROCK Method in District/City Grouping in South Sulawesi Province based on People's Welfare Indicators

Cluster analysis is a data mining technique used to group data based on the similarity of attributes of object data. One of the problems that are often encountered in cluster analysis is data with a mixed categorical and numerical scale. The clustering stage for mixed data using the ensemble ROCK (Robust Clustering using links) method is carried out by combining clustering outputs from categorical and numeric scale data. The method used for categorical data is the ROCK method and the method used for numerical data is the Hierarchical Agglomerative method. The best clustering method is determined based on the criteria for the ratio between the standard deviations within the group (SW) and the smallest standard deviation between groups (SB). Based on 24 observation objects in the regencies and cities of the Province of South Sulawesi, the ROCK ensemble method with a value of 0.1 produces three clusters with a ratio value of 2,27 x10-16 based on the combination of the output results of the ROCK method and the Hierarchical Agglomerative method
Phishing Website Detector using ML

Abstract: With the proliferation of mobile devices in recent years, there is a tendency to move almost all real-world activities to the cyber world. Although this makes our daily life easier, it violates many security rules due to the anonymous nature of the Internet. Phishing attacks are the easiest way to get sensitive information from innocent users. Phishers aim to obtain sensitive information such as usernames, passwords, and bank account information. Cybersecurity professionals are looking for reliable and consistent detection methods to detect phishing websites. This project deals with machine learning technology to detect phishing URLs by extracting and analyzing various features of legitimate and phishing URLs. Decision trees, random forests, and support vector machine algorithms are used to identify phishing websites in a two-step process of first visualizing and extracting features of URLs using python libraries and then training them into a model using Gradient Classifier Algorithm to predict real-time phishing websites
Correlation Evaluation Scale Through Text Mining Algorithms and Implementation on the Kurdish Language - A Review

In recent times, because of the many articles that are found on the web, text extraction has become an interesting area of research. Text mining is a technique that can be used to extract useful information or knowledge from text documents that are not typically in an unstructured form. There are some studies conducted to use different techniques of text production for unstructured data sets. This study will provide an overview of the different methods and algorithms that are related to Text mining and also some studies on the mining of Kurdish web documentation. In addition, a collection of research problems and research methodologies will assist scholars in tracking their future research.
Identifying Fake News via Machine Learning and Web Scrapping

Abstract: After digitalization, the increase in use of social media has led the flow of information among the social network users unchecked. The news is immediately transported to social networks, where it is quickly read, marked with opinions (on Facebook), and shared (on Twitter and Facebook) without being verified as accurate or false numerous times. In the modern world, fake news is an issue that has grown difficult to detect. Its impact on the judgement of commonfolk is noticeable, society has witnessed numerous events where the rampant flow of unverified news had affected the society as a whole. The sharing of fake news has become a major issue to the society. Our project aims to aid in reduction of e-crimes like use of social media for sharing of fake content. This will be achieved by training the machine to identify text based fake content. Using this the time for work of filtering out the fake content will be reduced by great lengths whilst helping the mass to get verified and credible news.
Interpreting Cardiovascular Disease using Random Forest and Explainable AI

Abstract: These days, artificial intelligence and machine learning in trendy have proven terrific performances in lots of obligations, from image processing to natural language processing, specifically with the advent of machine learning in conjunction with studies development, they've encroached upon many specific fields and disciplines. a number of them require excessive degree of duty and as a result transparency, as an instance the clinical region studies into Explainable Artificial Intelligence (XAI) has been increasing in current years as a response to the need for extended transparency and believe in AI. that is especially crucial as AI is utilized in sensitive domain names with societal, moral, and safety implications reasons for system choices and predictions are as a consequence had to justify their reliability. This requires extra interpretability, which frequently approach we need to understand the mechanism underlying the algorithms. by means of applying the same categorization to interpretability in clinical research, it is hoped that (1) clinicians and practitioners can in the end method those strategies with caution, (2) insights into interpretability could be born with greater issues for scientific practices, and (3) initiatives to push ahead statistics-based totally, mathematically- and technically-grounded scientific schooling is recommended.
Research Paper on ATM Based on Face Recognitions System

Abstract: Automated Teller Machines are widely used nowadays by people. But it’s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN number. The ATM card may get damaged and users can have a situation where they can’tget access to their money. In our proposal, use of biometrics for authentication instead of PIN and ATM card is encouraged. Here, The Face ID is preferred to high priority, as the combination of these biometrics proved to be the best among the identification and verification techniques. The implementation of ATM machines comes with the issue of being accessed by illegitimate users with valid authentication code. The users are verified by comparing the image taken in front of the ATM machine, to the images which are present in the. If the user is legitimate the new image is used to train the model for further accuracy. Thissystem uses open CV to process the image being obtained and Hear Cascade Classifier to detect the faces in the image. The face recognitions done using Local Binary Pattern.
Pelatihan Pembuatan Media Pembelajaran Bagi Guru SMP Negeri 1 Duampanua Kabupaten Pinrang

This Community Partnership Program (CPP) aims to produce products that can be used as learning media that allow students to be active, creative and fun in their learning activities. In turn, it will increase the effectiveness and quality of the learning process. The form of activity in this community partnership program activity uses a training strategy involving 30 participants through lectures, discussions, demonstrations, practice, and observation methods. To assess the success of this program through indicators (1), participants' attendance rate during the extension process was up to 80%. (2) All extension activities are carried out in accordance with the plan following the proposal. (3) A statement of satisfaction from extension participants and the school. Implementing this CPP can increase teachers' knowledge and skills in creating and optimizing learning media in the teaching and learning process in the classroom. The participants' enthusiasm evidenced this in participating in these activities. Besides, CPP produces products in the form of 30 learning media that can be used in the classroom's teaching and learning process.
Local policing and its implication for security in Anambra State, Nigeria

Situating security closer to the people, demanding accountability of security operatives and their agencies, and promotion of community-based crime prevention are all nuances of local policing. Anambra State in the eastern region did not allow operatives of Eastern Security Networks and Ebube Agu except Anambra Vigilantes Services alongside formal law enforcement agencies. It was against this background that this study engage gap theory to investigate local policing and its implications on Anambra State, Nigeria. This study decomposed implications of local policing into policing accountability and community-based crime prevention in Anambra. This study engaged qualitative research design with reliance on secondary data, by reviewing publicly available archive documents concerning local policing, accountability of policing, community-based crime prevention and community policing. The literature was obtained through searches in publicly available material. Literature from non-serial publications, official reports, and conferences has been included particularly if they have been cited by other references in connection with local policing. Findings from the study showed that local policing as provided by Anambra Vigilante Service, devoid of the presence of Ebube Agu and Eastern Security Network shows accountability to the community. The study also established that local policing in Anambra has semblance of community-based crime prevention as the Vigilante and Formal security operatives collaborate in the line of duty. This study therefore recommends that the Federal Government should look beyond militarisation of South East and address genuine concerns raised by regional agitators as this will allow both formal and local policing to share common ground in accountability to host communities. This study also recommends that the total overhauling of the nation’s security architecture will go a long way to allow local policing to be heard in security provision which will fast track community-based crime prevention as against the overcentralised commands of all formal security agencies.
AFFECTIVE COMPUTING BASED ON BIO-SIGNALS

The affective computing is to create computer programmes that can recognise and comprehend emotional states in people.Real-time measurement and analysis of emotional responses have been done using bio-signals like the electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR).This project will show the working of emotional computing based on bio-signals, covering its background, present trends, and potential applications.We also go over the difficulties and directions this research is going in, such how to improve signal quality, create more precise emotion recognition algorithms, and incorporate bio-signal-based affective computing into real-world uses.Affective computing, which is based on bio-signals, offers enormous potential to improve human-computer interaction and numerous aspects of healthcare, entertainment, and education.
Pelatihan Penulisan Artikel Ilmiah Bagi Guru SMAN 15 Kabupaten Bone

To improve student achievement, teachers must innovate in learning. This ensures that students learn at their best, both independently and in the classroom. Learning model innovation is very necessary and very urgent, especially in the development of new learning models that can lead to better learning outcomes and increase efficiency and effectiveness. In addition, teachers must develop their potential in various ways. One of them is improving the ability to write scientific papers. By conducting article writing training, teachers are expected to have dual roles as practitioners and researchers. Therefore, teachers must conduct research to solve problems that arise in class and to serve as material for promotion. The Scientific Article Writing Training for Teachers of SMA Negeri 15 Bone, Bone Regency, was carried out in Bone Regency with the target of this activity being the teachers at the school. This activity is in the form of training with an emphasis on mastery of article writing.
Cryptographic Technique for Communication System

Abstract: The Cryptography is gotten from a Greek word which implies the craft of ensuring data by changing it into a muddled organization and unreadable format. It is a mix of arithmetic and software engineering. The dynamite growth of the Internet has made an expanded familiarity with intrigue uncertainty issues. Even though security is the measure worries over the internet, numerous applications have been created and structured without considering fundamental destinations of data security that is confidentiality, authentication, and protection. As our day by day exercises become increasingly more dependent upon data networks, the significance of an understanding of such security issues and trouble will also increase. To forestall some undesirable clients or individuals to gain admittance to the data, cryptography is required. .This paper introduces a new hybrid security cipher by combining the three most important Ciphers such as Gronsfeld Cipher , Polybius Cipher and Vigenere Cipher.
Fishbowl technique at TESOL Classes and Figuring out Speaking Skills Limitations and Solutions (A various schools in Duhok city)

In this current era of globalization, there is a need for English instructors to improve their inactive learners' confidence so as they can be capable of participating actively in oral classroom activities. Based on this issue, the study aimed to identify the obstacles and causes faced by learners of English at the primary stage, and the most appropriate solutions to overcome these challenges. The research sample consisted of (65) fourth-grade students in (New Dohuk) and (Parlaman) schools. The researchers used a personal interview with the research sample students to demonstrate and measure the speaking challenges faced by learners of English. Each student will undergo such an interview to consider speaking problems and possible causes. The results showed and suggested that some students had difficulty communicating for various reasons. The researchers recommend conducting more research and studies on the speaking challenges faced by English language learners. The objective of the research is to describe the peaking barriers and analysis of student’s barrier besides to the procedure of the Fishbowl strategy in teaching speaking English. “This research is the implementation of primary school in our schools”. The instrument of the research is an observation sheet, filed note, documentation, and recording. The design of the research used in this study is descriptive qualitative research. The description of the research finding showed about Fishbowl strategy in teaching speaking that have been identified through observation sheet and field notes. The researcher gets the data through the teacher and student’s activities in the teaching and learning process through tests and data. Outcomes seems to be good to use Fishbowl technique but there are a number of barriers if it will be used at normal classrooms of the governmental school but it could be more convenient for the private schools.&nbsp