Reviewerly/exHarmony huggingface dataset:
Present Day Symmetric Key Encryption

In the time of Modern Symmetric Key Encryption, the info distribution quickly enlarged. Whollyrecords sent or conventional are exposed to countlessdynamic and passive attacks. Consequently, the data throughout statement is the greatest significant anxiety. Cryptography does avital role to dwindlingstatement in the systemthen it arises with agreatresult to supply the wanted safetyin contradiction of the intruders of data. Over a considerable time, the methods of data encryption seized an enormous bound from actual easy approaches to exactroughprecisedesigns to producerobust safety aimed atstatement. Converselymotionlesssidewaysthrough their exertion, the procedures of cryptography are horizontal to variousoccurrences.
DEVELOP TEACHERS' VISION AND MISSION AS CHANGE AND CHARACTER EDUCATION

The main indicator of a superior school is reflected in the teacher quality factor. Teachers are required to have professionalism in their field. Not only do they have to have knowledge about the field they teach, but all components related to education must exist in each teacher. This is also based on the assumption that the problem of improving the quality of education is certainly based on the character of an educator. Therefore, the more qualified teachers in a school, the more qualified the school will be. Teachers are expected to equip their students as the successors of this nation. Of course, by giving birth to individuals who not only have intellectual abilities, but are also able to appreciate truth, justice, prosperity, peace and a responsible attitude to enter a future era that is highly competitive and without limits. A big dream for this nation which is certainly not just a mere utopia, but we all have to be able to make it happen. Thus, the future of this country depends on how teachers can produce individuals who are independent, mature, responsible and sensitive to social problems in their surroundings in the future.
Investigate the Suitability of Adversarial Perturbation in Preserving Privacy in the Context of Photos

Post-publication of Photos and Videos privacy settings may not be as its original intention for publication was. Sometimes inadvertently sensitive information may be disclosed to others, or a more alarming aspect is the advent of Deepfake technology which can manipulate images and videos to make them available for public viewership distorting its privacy settings partially or completely. A photo or video can be manipulated in such a way that it can remove its original context and purpose. This ability has serious consequences for the public regarding their privacy concerns. This paper showcased the role of Adversarial Perturbation (AP) is becoming more critical, as it may be seen as one of the ways to mitigate problems of unintended image or video manipulation. This paper studies numerous articles and uses a methodological approach to demonstrate the advantages of AP attacks in this study while discovering that pre-trained data classification models might be fooled by instilling a greater noise gradient into a picture in our proposed trials.
Words and expressions in movies: Indonesian English as a foreign language students’ reflection

This study was aimed to find out the students’ reflection on the words and expressions found in English-spoken Hollywood movies, more particularly Thor Ragnarok. This descriptive quantitative study was conducted via discord. The population of the study was SMAN 2 Semarang students and the samples were the eleventh-grade students who watch Thor Ragnarok movie. The data were collected through questionnaire. The result of analysis showed that there are many students who feel their English are improved by watching Hollywood movies but they also absorb the culture like kinds of impolite words and expressions. After all, the results can give implication for how students need to study on absorbing western cultures correctly and using the words and expressions properly in appropriate ways.
The Effectiveness of Role-Playing Games (RPG) in Teaching Reading for Second Grade Students at Man 2 Lombok Tengah

The research entitled the effectiveness of Role Playing Game (RPG) examined in this research was how the effect of using Role playing game (RPG) to increase the second grade students reading comprehension at MAN 2 Lombok Tengah. This research was aimed to find out whether the use of Role-Playing Game (RPG) was effective or not to increase the second-grade students’ reading comprehension at MAN 2 Lombok Tengah. This research uses quantitative research methods with a pre-experimental approach in one group pre test and post test. This research was conducted at MAN 2 Lombok Tengah which consist of 112 second grade students in total and Class XI IBB was chosen as a sample with total of 17 students. The instruments used were a test of narrative that consist of 20 multiple choices. The research findings showed that the students’ difference before and after using Role Playing Game (RPG) was significantly effective. The results showed that students' pre-test scores were smaller than post test with mean score of pre test was 60.59. While the scores of post-test after treatment got better score than pre test, with mean score of 77.6. After that, 2 paired sample T-test was applied with a significance value of sig. (2 paired) was 0.001. Because the results obtained are Sig &lt; a or 0.001 &lt; 0.05. Then H0 is rejected and Ha is accepted. Therefore, based of the findings it can be concluded that the use of Role Playing Games (RPG) is effective to increase students' reading comprehension.
Ensemble Learning Based Malicious Node Detection in SDN-Based VANETs

Background: The architecture of Software Defined Networking (SDN) integrated with Vehicular Ad-hoc Networks (VANETs) is considered a practical method for handling large-scale, dynamic, heterogeneous vehicular networks, since it offers flexibility, programmability, scalability, and a global understanding. However, the integration with VANETs introduces additional security vulnerabilities due to the deployment of a logically centralized control mechanism. These security attacks are classified as internal and external based on the nature of the attacker. The method adopted in this work facilitated the detection of internal position falsification attacks. Objective: This study aimed to investigate the performance of k-NN, SVM, Naïve Bayes, Logistic Regression, and Random Forest machine learning (ML) algorithms in detecting position falsification attacks using the Vehicular Reference Misbehavior (VeReMi) dataset. It also aimed to conduct a comparative analysis of two ensemble classification models, namely voting and stacking for final decision-making. These ensemble classification methods used the ML algorithms cooperatively to achieve improved classification. Methods: The simulations and evaluations were conducted using the Python programming language. VeReMi dataset was selected since it was an application-specific dataset for VANETs environment. Performance evaluation metrics, such as accuracy, precision, recall, F-measure, and prediction time were also used in the comparative studies. Results: This experimental study showed that Random Forest ML algorithm provided the best performance in detecting attacks among the ML algorithms. Voting and stacking were both used to enhance classification accuracy and reduce time required to identify an attack through predictions generated by k-NN, SVM, Naïve Bayes, Logistic Regression, and Random Forest classifiers. Conclusion: In terms of attack detection accuracy, both methods (voting and stacking) achieved the same level of accuracy as Random Forest. However, the detection of attack using stacking could be achieved in roughly less than half the time required by voting ensemble. Keywords: Machine learning methods, Majority voting ensemble, SDN-based VANETs, Security attacks, Stacking ensemble classifiers, VANETs,
A Traumatic Experience in The Fallout Movie Directed by Megan Park

Trauma is a condition that arises as a result of a scary experience or event, such as natural disasters, physical violence, sexual harassment, etc. The response caused by trauma is post-traumatic stress disorder, which affects a person's mentality due to the traumatic event he experienced. The purpose of this study is to know the causes and effects of post-traumatic disorders and the types of trauma in general. In this study, the writer used a descriptive-qualitative method. The writer watches the movie and identifies the data, then writes it back in the notebook and categorizes the data based on theory. In this study, the writer found that in the Fallout movie, the symptoms caused by trauma and post-traumatic experiences varied, such as intrusiveness, avoidance, and arousal. As well as the efforts made to get out of trauma, namely by coming to psychology, looking for activities, and being an open person with parents about anything. Hopefully this thesis can educate all of us about the dangers and impact of post-traumatic stress disorder, be useful, and contribute as an analysis of literary works, especially for English and English literature majors.
An Analysis Of Derivational And Inflectional Morphemes In The Lyrics Of Calum Scott’s Songs In The Album “Bridges”

Morphology studies the intricate forms of words and the influence of changes in word forms on word categories and meanings. Morphemes, as the smallest grammatical units with meaning, are the primary focus of morphology. Morphemes cannot be further divided into smaller linguistic units. This research aims to investigate derivational and inflectional morphemes in the lyrics of Calum Scott’s songs in the album “Bridges”. The qualitative method is employed in this study, which reveals the presence of derivational and inflectional morphemes in the lyrics. The analysis demonstrates the existence of various types of derivational and inflectional affixes. Inflectional morphemes, particularly affixes, are found to be more dominant in the lyrics of Calum Scott’s songs in the album “Bridges”. The findings of this research identify 50 derivational and 99 inflectional morphemes. In derivations, 21 types of affixes are discovered, including prefixes such as re-, pre-, a-, sur- and suffixes such as -ent, -le, -ion, -ful, - less, -ing, -ly, -ain, -ed, -ness, -ment, -y, -ry, -er, -ty, -st, and -ical. Furthermore, there are 8 types of inflectional morphemes, namely plural, past tense, past perfect, comparative, possessive, third-person singular, gerund, and progressive.
YouTube To Improve Student’s Speaking English Skill

English has become an international language, so the mastery of English language skills is important. However, the students still face some problems that make them unmotivated and hinder speaking. Considering these situations and conditions, the teacher must address this challenge and determine the most effective strategy for involving students in the teaching and learning process, particularly in speaking. As a result, YouTube is selected as one of the options for teaching speaking in this article in order to determine how using YouTube to improve students' speaking skills. To find out the use of YouTube video to improve student’s speaking skill, a qualitative approach was used in this research. Qualitative research was utilized to conduct this research. To collect the data for the study, a questionnaire using Google Forms with close-ended questions was utilized. The questionnaire will contain 5 questions that were based on previous research regarding the roles of YouTube in improving English speaking skills. After implementing the action of research, the researcher found that the use of YouTube video in the teaching speaking had enhanced and motivated the students’ speaking English skill.
GIFTWINGS: A Donation Hub for Community Support

Food, clothing, and books are among the most essential and critical provisions for human well- being. Unfortunately, the issue of food insecurity, characterized by the absence of safe, nutritious, and sufficient food, persists as a significant problem in our society, especially in low-income communities. The three essentials such as food, cloth and book represent the most basic requirements of humanity, and it is imperative that they are met as swiftly as possible. Regrettably, in today's society, a significant number of individuals struggle to afford or access these fundamental necessities for survival. This Android application offers a solution to these challenges, enabling users to contribute food, clothing, and books free of charge, while allowing those in need to collect these donations when required. A noteworthy feature of this application is its ability to connect donors with recipients who seek the same type of donation. Unlike other donation platforms that often focus on one specific need, such as food, cloth and book. Key Words: donation platform, secondhand market, wastage reduction, donation catalog, affluent society, NGO’s.
Supply Chain Management in Agriculture using Blockchain

Block chains are now firmly established as a digital technology that combines cryptographic, data management, networking, and incentive mechanisms to support the verification, execution, and recording of transactions between parties. While block chain technologies were originally intended to support new forms of digital currency for easier and secure payments, they now hold great promise as a new foundation for all forms of transactions. Agribusiness stands to become a key beneficiary of this technology as a platform to execute ‘smart contracts’ for transactions, particularly for high-value produce. First it is important to distinguish between private digital currencies and the distributed ledger and block chain technologies that underlie them. The distributed and cross-border nature of digital currencies like Bit coin means that regulation of the core protocols of these systems by central banks is unlikely to be effective. Monetary authorities are focused more on understanding ‘on-ramps’ and ‘off-ramps’ that constitute the links to the traditional payments system rather than being able to monitor and regulate the currency itself. In contrast to the digital currency feature of block chain, the distributed ledger feature has the potential for widespread use in agribusiness and trade financing, especially where workflows involve many different parties with no trusted central entity.
Yoga Pose Estimation Using YOLO Model

Yoga, an historic exercise for every person and intellectual nicely-being, has gained large recognition in todays world . Monitoring yoga postures is essential for ensuring proper form, but yoga without an yoga professional is not good for person. In this research, we go deeply into the area of video processing ,image processing and deep learning, providing a new approach to yoga pose estimation. Leveraging the modern day YOLO (You Only Look Once) pose version, we suggest an revolutionary answer for real-time yoga pose detection in both images and video. The YOLO structure is customized and adaptative to recognizing and detecting yoga postures, maximizing accuracy and performance. YOLO is a popular deep learning algorithm used for object detection and classification in images and videos. It's known for its speed and efficiency. We inspect the result with in the parameter and also use customize data. We specially design this model for yoga Beginner and Intermediate those who cannot afford personal trainer or not able to mange time. Additionally, we renowned the limitations encountered in the course of our studies, also covering the way for future investigations. Keywords: Pose Estimation,YOLO,KeyPoints Detection,Virtual yoga ,ML models
Online Food Delivery System using Flutter

This research paper presents the design and implementation of an online food delivery system using the Flutter framework. The system aims to streamline the process of ordering food online and improving the overall user experience. We discuss the development process, the technologies involved, and present the results of user testing.
Mojo: A Python-based Language for High-Performance AI Models and Deployment

Python has become a popular language for AI model development due to its elegant and flexible programming capabilities, extensive tool ecosystem, and high-performance libraries like Numpy and PyTorch. However, Python's execution speed remains a challenge, especially for performance-critical inner loops. To address this, Python programmers often rely on wrappers for C, FORTRAN, or Rust code, leading to a "two-language" approach that introduces complexities in deployment and debugging. This research paper introduces Mojo, a promising solution to the Python performance issue, which is essentially Python++ and built on top of MLIR (Multi-Level Intermediate Representation). Mojo is a rigorously designed superset of Python that allows seamless integration of high-performance implementations by switching to a faster "mode." This paper discusses the key features of Mojo, its deployment advantages, and its comparison with other alternatives in the AI and ML development landscape.
APPLYING THE STORY TELLING METHOD TO IMPROVE PUBLIC SPEAKING SKILL FOR ENGLISH STUDENTS

This research aims to find out whether or not and what extent storytelling can improve the public speaking skill for English students. This research is classroom action research. They are 4 procedures those are planning, action, observation and reflecting. The data are in the form of qualitative and quantitative. The quantitative data were taken from the test conducted before and after the actions were implemented then the qualitative data were taken from the result of observation while the actions were being carried out. The data in this research are English students at Islamic University Jayapura. Based on the analysis of data, the researcher finds that the storytelling method can improve the public speaking skill for English students. Students became more active, confidence and enthusiastic. The mean score for 1st semester pre test 70.96 increased to 84.16 in post- test 2 and 3rd semester pre test 76.4 increased to 84.5 in post-test 2.
Pendidikan Berbasis Teknologi

Educational technology is designed to help solve educational problems, so that it can provide benefits in efforts to improve the quality of learning. Various forms of learning experiences, both those that can be achieved in the classroom and outside the classroom and learning messages, can be packaged by paying attention to the rules and principles of educational technology. With the use of learning technology, it is hoped that educational messages can be packaged more systematically, both in physical packaging and virtual, which is no longer limited by the dimensions of space or time, so that it can be accepted by students well, easily and widely, and creates education that is fun, flexible in the dimensions of time, space, and develops the potential of individual students. Apart from providing benefits, technology in the education sector also provides several obstacles that have a positive impact on education.
The relationship between online tools for e-learning and student satisfaction

The advancement in communication technology impacts many sectors, including education. Many tertiary institutions have implemented e-learning in their teaching and learning process in the education sector. E-learning is becoming a new norm in teaching and learning, especially during the pandemic. Besides, e-learning has also become one of the marketing tools for educational institution to attract working adults to pursue their studies at a higher level. E-learning is perceived as the best alternative to help working adults get better education levels for a job promotion. In addition, e-learning is preferred because it is convenient and flexible, easy to update subject content, and increases student skill and knowledge using technology. Furthermore, the fees are cheaper than the physical class. The study conducted an online survey of 343 respondents to measure the research instrument reliability before the actual data collection. The study used a quota sampling approach to collect the response. The research instrument is considered reliable because the reliability analysis indicated more than 0.8. The pre-analysis indicated that the studied online tools, namely email, social network, and web portal, showed moderately related student satisfaction. The study indicates that KUPTM students are leaning toward using social networks as a preferable e-learning platform over web portal and e-mail
How to select a model if we know probabilities with interval uncertainty?

Purpose When the probability of each model is known, a natural idea is to select the most probable model. However, in many practical situations, the exact values of these probabilities are not known; only the intervals that contain these values are known. In such situations, a natural idea is to select some probabilities from these intervals and to select a model with the largest selected probabilities. The purpose of this study is to decide how to most adequately select these probabilities. Design/methodology/approach It is desirable to have a probability-selection method that preserves independence. If, according to the probability intervals, the two events were independent, then the selection of probabilities within the intervals should preserve this independence. Findings The paper describes all techniques for decision making under interval uncertainty about probabilities that are consistent with independence. It is proved that these techniques form a 1-parametric family, a family that has already been successfully used in such decision problems. Originality/value This study provides a theoretical explanation of an empirically successful technique for decision-making under interval uncertainty about probabilities. This explanation is based on the natural idea that the method for selecting probabilities from the corresponding intervals should preserve independence.
Implementasi Algoritma K-Nearest Neighbor Dalam Mendiagnosis Kurap Pada Kucing

Ringworm is an infectious disease caused by keratinophilic fungi on the surface of the skin or other parts of tissues that contain keratin (fur, nails, hair, and horns) in animals and humans. Some fungal species are zoonotic because infected animals can be a source of transmission to humans and vice versa. This disease is often found in domesticated animals and is the oldest mycotic disease in the world. This skin disease is called ringworm because it is thought to be caused by worms and because the symptoms begin with inflammation of the skin's surface which if left unchecked will enlarge to form a ring like circle. The K-Nearest Neighbor (KNN) algorithm is a method for classifying new objects. KNN is a supervised learning algorithm, where the results of new query instances are classified according to the majority of categories in KKN. The class that appears the most is the class resulting from the classification. Nearest Neighbor is an approach to calculate the proximity between the new case and the old case, which is based on matching the weights of a number of existing features. This study aims to make it easier for patients to know the health condition of their pet cat.
Analysis of Mathematical Aspect Rank Algorithm in Google Page

Page Rank algorithm is the core concept used in Google Search Engine . It is a widely known algorithm which helps in giving rank to the web pages and hence, it determines the order in which they are to be displayed during a search .It was developed in 1998.Almost all web search tools still use the Page Rank algorithm as their foundation. In this paper, we will get an overview of application of linear algebra and graphs in Google's Page Rank algorithm.