Reviewerly/exHarmony huggingface dataset:
Improving Poetry Reading Skills by Applying the Observation, Imitation, and Modification Learning Model Using Video Media for Students of Class 10 IPA Sman 8 Sarolangun

The purpose of this study was to improve the poetry reading skills of 10th grade science students at SMA Negeri 8 Sarolangun in the even semester of the 2022-2023 academic year through the Observe, Imitate, and Modify learning model using video media. This study was designed with a classroom action research design. This Classroom Action Research (CAR) was carried out in two cycles. Each cycle has four stages, namely 1) implementation planning, 2) action implementation, 3) observation, 4) reflection. The subjects of this study were 10th grade science students at SMA Negeri 8 Sarolangun. The research focused on problems related to the low poetry reading skills of students. The data in this study were obtained through observation, interviews, tests of students' poetry reading skills, and documentation. The data were analyzed by data reduction techniques, data presentation, and drawing conclusions. The results obtained are the percentage of achievement indicators of poetry reading skills which have increased in each cycle. The average ability of students in discussing before implementing the action is categorized as less. After implementing the action for two cycles, the average ability of students in reading poetry is categorized as very good. The results showed that there was an increase in skills in reading poetry. It was proven during the first cycle of action with an average score of 6.72, and at the end of the implementation of the action, namely the second cycle, the average score was 8.48. Thus, the skills of students in reading poetry have increased by 1.76.
EFFECTIVE LEDGER AND DECENTRALISATION IN HEALTHCARE USING BLOCKCHAIN

Healthcare block chains provide an innovative way to store healthcare information, execute healthcare transactions, and build trust for sharing health data in a decentralized open health network environment. Although the healthcare block chain technology has attracted broad interests and attention in industry, government and academia, the security and privacy concerns remain the focus of debate when deploying block chains for information sharing in the healthcare sector from business operation to research collaboration. This paper focuses on the security and privacy requirements for medical data sharing using block chain, and provides a comprehensive overview of security and privacy risks and requirements, along with technical solutions techniques. First, we discuss the security and privacy requirements and attributes required for electronic medical data sharing by deploying the healthcare block chain. Second, we categorize existing efforts into three benchmark block chain use cases for electronic medical information sharing and discuss the technologies to execute these security and privacy properties in the three categories of use cases for healthcare block chain, such as anonymous signatures, attribute-based encryption, zero-knowledge proofs, and verification techniques for smart contract Finally, we discuss other potential block chain application scenarios in healthcare We conjecture that this survey will help healthcare professionals, decision makers, and healthcare service developers to gain technical and intuitive insights into the security and privacy of healthcare block chains in terms of concepts, risks, requirements, development and deployment technologies and systems. Key Words: Asymmetric-key algorithm and hash function, SHA-256 algorithm.
Tight Source Domain Match for Partial Domain Adaptation Based on Maximum Density

Abstract Unsupervised domain adaptation (UDA) aims at transferring knowledge between a well-labelled ’source domain’ and an unlabelled ’target domain’ by decreasing distribution discrepancy. In real scenario, partial domain adaptation (PDA), where target domain only includes part of the classes of source domain, is adopted as fully-shared label space is often unavailable. Non-identical label spaces across domains lead to performance degradation due to source-unique classes being mis-matched to the target domain, i.e. negative transfer of the target domain. Although existing PDA approaches have produced promising results, they still confront with negative transfer problem without rigorous generalization bounds. In our work, a novel PDA model has been proposed based on margin disparity and maximum source intra-class density divergence (MDSD). It matches the feature distributions with shared labels and congregates source samples in the source with affirmative labels. Removing maximum target density with pseudo labels, it effectively avoids over-fitting and accelerates learning speed. In addition, we construct a new garbage classification dataset, which is comprised of source domain - Product (Pr) and target domain - Garbage (Ga) for PDA validation. Experiments show that our proposed unsupervised partial domain adaptation method has a good performance on Office-31, Office-Home and Pr-Ga datasets.
Cloud Computing Based Face Mask and Helmet Facial Detection for ATM Security Using Image Processing

In this modern-day scenario the ATM robbery are increasing rapidly thus the security is one of the biggest concerns and this project will focus on improving the security of ATM transactions. The main process of the project would be incorporating cloud and image processing. Image processing will play a crucial role in the current situation where we will need data to be processed for differentiating between people who are wearing mask and not wearing mask. Though every people have to wear mask as a safety precautions, some people misuse it for illegal things. The project's current focus is only on ATM transactions. In this project the process of ATM transaction will be finetuned so that a person can't proceed in the transaction without removing the mask and helmet. With each transaction the image of the person along with the transaction detail will be stored in cloud from which we can securely access anywhere and anytime (with proper authentication).
Probing Multilingual Cognate Prediction Models

Character-based neural machine translation models have become the reference models for cognate prediction, a historical linguistics task.So far, all linguistic interpretations about latent information captured by such models have been based on external analysis (accuracy, raw results, errors).In this paper, we investigate what probing can tell us about both models and previous interpretations, and learn that though our models store linguistic and diachronic information, they do not achieve it in previously assumed ways.
Convolution neural network based Discrete Social Sharing Emotions on Covid-19

Recently, many micro blogs are used by people to share their perspective and opinions instantly. In this updating world, each and everyone&#x0027;s view is very important to implement any social projects, solve social issues etc. So, we came with discrete sharing Emotions on Covid-19 using deep learning, which is a subfield of artificial intelligence and gives continuous quality improvement in a large and complex process. In this study, we use Latent Dirichlet Allocation to do topic modelling on the COVID-19 Open Research Dataset (CORD-19). The CORD-19 data is the biggest collection of coronavirus studies to date, making it difficult to gain a full understanding of the dataset. This is when topic modelling might come in handy. In general, topic modelling relates to the procedure of building a predictive method characterising the probability of topics to a dataset. LDA is a type of unsupervised generating mode. This paper is an effective means of discovering the polarity of people&#x0027;s opinions and displaying accurate information. Further the accuracy is also found using CNN and we have achieved 81&#x0025; of accuracy. This concept can be implemented in various domains like Finance, Medicine, public actions to predict the values and worth of their products or projects among the people to enhance their further process.
SMART IRRIGATION METHODOLOGY FOR THE ECONOMIC GROWTH OF FARMERS

Agriculture is the backbone for the economic growth of any country. But even in the developing countries like our India, traditional forming methods are adopted by our rural farmers. These methods require high man power, more time, regular monitoring and control throughout the entire agricultural process. Because of globalization and the developments happened in digitalization and communication, more and more research works are carried out to make these agricultural process SMART. In this article, it is proposed to implement a smart irrigation system for corps using digital components. The moisture sensors kept at different locations of the farm yard senses and gives signals to Arduino controller continuously. Based upon the predefined moisture level set in the controller, the controller actuates the water supply system to effectively distribute the water at the required locations. This system reduces the excess water supplied to the corps during the irrigation process and increases the life of corps by maintaining the safety water level. A set of solar Photovoltaic cells are used for power generation. A message about the ON/OFF status of the water pump will be sent to the farmer through the registered mobile number using GSM module. This is an automatic irrigation system that uses water more economically and also increases productivity of the corps.
Sistem Informasi Persuratan Berbasis Web dan SMS Gateway

The process of managing incoming and outgoing letters in government agencies is still using a manual system, recording is still using an agenda book which has several problems, such as the difficulty of administrative staff in finding old data due to the accumulation of letter data and the letter archiving process. In this study, a web-based mail archive system &amp; SMS gateway mail archival system was created. This system can assist the process of filing letters. Testing this system using BlackBox testing. The research method uses the waterfall system development technique, consisting of several stages, namely the stages of needs analysis, system design, writing program code, conducting testing, and program implementation and maintenance. The data collection technique used is through the interview, observation, and literature study. The test results of the correspondence information system with features to manage officer data, manage incoming mail data, manage outgoing mail data, manage letter type data, manage travel letter data outside the region, and reports. This shows that the system created can function as expected.
Implementasi Algoritma C4.5 dan Simple Additive Weight Untuk Menentukan KPI Karyawan

PT Kreatif Dinamika is the one of Microsoft's partner company that provides industrial solutions that consist of ERP and CRM, Power BI, Office 365 mobile applications and custom solutions. Every year conducts employee performance evaluation for employee who have worked at least one year to get an increase sallary. The primary idea of the Simple Additive Weighting technique is to get the full weighted value of every worker's overall performance on all of the attributes of the evaluation component. The C4.5 is an algorithm that used to create a decision tree. Decision tree is the structure division method and a famous predictions. In addition, after deretmine of weighted value of every attribute, SAW can select the good opportunity for classifications process from many alternatives. There are five standards that used for evaluation, there are Delivery On Time, Delivery on budget, Team Satisfaction, Soft Skill and Project Handled. The application of C4.5 algorithm on information explore in large amount include changed it into decision tree which could represent terms well. In the C4.5 algorithm, the choice of attributes as an evaluation could be very influential in acquiring an accuracy value cost primarily based totally at the outcomes of the ranking
DIDACTIC PLAY IN THE STUDY OF LITERATURE

The play component is an intrinsic part of the learning process as a whole which increases its effectiveness. However, there is a need to conceptualize its role and possible applications based on the nature of literature as a school subject. The author of its articles draws on the extensive practical experience reflected in specialized journals and aims to theorise the didactic role of play in the context of key learning activities during literature lessons. Based on the creative and research literary activities performed by students, he outlines the ways of using play while keeping in mind the objectives of different ways of working with literary material. The article presents a broad spectrum of play activities used in the context of event-based, composition-based, chronotope-based, image-based, problem- and theme-based, ideational and conceptual, philosophical, genre-oriented as well as structural and stylistic analyses of literary works. Therefore, play activities are aligned with the nature of the subject. Literary play, as the author argues, always follows the logic of the abovementioned ways of learning literature which define the content, the goal, and the order of activities performed by students. This is how play helps develop the various literary competencies of students, such as structuring the plot of a literary text; investigating its development, identifying the order of events and cause-and-effectrelationships; observing and detailing compositional elements and chronotope formations; studying psychological characteristics of character images and ways of creating characters; analysing in depth the language of a text; identifying literary works on a similar theme; demonstrating awareness of genre formation and the stylistic nature of literary works.
Challenges of Teaching and Learning English at Undergraduate Level: A Case Study

This paper is an attempt to investigate the challenges or problems regarding teaching and learning English as a compulsory subject at the undergraduate level of Panjab University Constituent College Dharamkot (PUCCD). The study discusses both the perspective of teachers and learners using case study model. Classroom observation, questionnaire, and textbook analysis are used as methodology. The triangulation of data results out the challenges of teaching and learning English language which is faced by both the students and teachers in this college and points out some basic solutions regarding that.
An Active Learning Approach for Classifying Explosion Quakes

In this work, an Active Learning approach for improving the classification of passed seismo-volcanic events is proposed. Here we study the specific case of Explosion Quakes from Stromboli Volcano versus other seismo-volcanic events, recorded as seismograms, and the use of Random Forest as a Classification method. In conformity with the active learning paradigm, the approach recalls the human intervention for the annotation of uncertain data. The uncertainty is established by the event probabilities, predicted by a trained random forest classifier. The human intervention consists of editing and relabelling the data into these main three classes: Explosion Quakes, Non-Explosion Quakes or Non-Classifiable. The edited events are added as new training examples with the purpose of improving future predictions. The results demonstrate that the proposed active learning approach improves the probability distribution of the events after the human intervention, in particular, after a cut-out phase of the signals with low probabilities.
Pengaruh Penggunaan Media Animasi terhadap Motivasi Belajar IPS

This research takes the theme of learning media. This research was conducted in the fifth grade of SD Negeri Kalirejo, Bagelen, Purworejo. The purposes of this study are (1) to describe the social studies learning process by using animation media, (2) to find out how much students' learning motivation before and after using animation media, (3) to find out the effect of using animation media on students' social studies learning motivation. The design of this study uses a full experimental design (true experimental design) through pretest and posttest. The pretest and posttest were carried out in the same group. The subjects or population in this study were fifth grade students at SD Negeri Kalirejo, Bagelen, Purworejo, Academic Year 2020/2021. The data sampling technique was carried out by interview and observation questionnaires. While the data were analyzed descriptively and inferentially. The results of the research show that: (1) The use of animation media in social studies learning is carried out through the planning, implementation and evaluation stages. (2) There is an increase in students' learning motivation for social studies after using animation media compared to before using animation media from what was in the moderate category to the very good category. (3) There is an effect of using animation media on social studies learning motivation of fifth grade students at SD Negeri Kalirejo, Bagelen, Purworejo.
Co-assessment and self-assessment as types of evaluation in an online and offline blended learning

The main objective of this research is to analyze the influence that co-assessment has on the students' learning process and to analyze whether there are differences regarding the teacher's grades (hetero-assessment), the grades awarded by the students (co-assessment), and the grades that the students award themselves (self-assessment). In addition, the attitude of the students when using co-evaluation as a learning system want to find out. When analysing the data collected, it can be seen that the students are satisfied with the use of co-assessment, showing great involvement. Moreover, co-assessment, self-assessment and teacher's marks are positively correlated. Most of the self-assessment marks coincide with the teacher's marks, albeit there are 20% of students who do not coincide.
Post-processing of Differentially Private Data: A Fairness Perspective

Post-processing immunity is a fundamental property of differential privacy: it enables arbitrary data-independent transformations to differentially private outputs without affecting their privacy guarantees. Post-processing is routinely applied in data-release applications, including census data, which are then used to make allocations with substantial societal impacts. This paper shows that post-processing causes disparate impacts on individuals or groups and analyzes two critical settings: the release of differentially private datasets and the use of such private datasets for downstream decisions, such as the allocation of funds informed by US Census data. In the first setting, the paper proposes tight bounds on the unfairness for traditional post-processing mechanisms, giving a unique tool to decision makers to quantify the disparate impacts introduced by their release. In the second setting, this paper proposes a novel post-processing mechanism that is (approximately) optimal under different fairness metrics, either reducing fairness issues substantially or reducing the cost of privacy. The theoretical analysis is complemented with numerical simulations on Census data.
PROFESSIONAL SELF-DETERMINATION OF UNIVERSITY STUDENTS BY METHODS OF CAREER COUNSELING

In the study, against the background of the aggravation of the problem of employment, choice of profession, innovative processes in education, theoretically identified ways to increase the effectiveness of career counseling for students in the process of professional training.In accordance with modern scientific ideas about the degree of satisfaction with the professional activity of the student, the crisis changes in the socioeconomic environment, approaches to solving the problem of career counseling are outlined.The purpose of the study is to study theories of personality behavior that explain the reason for choosing a profession and the subsequent development of a career counseling strategy.Research materials and methods: methodological literature on the theory and practice of personality behavior, special literature on career counseling and motives for professional choice, inductive-deductive methods of the fundamental principles of psychology and pedagogy of personality development, comparative analysis and generalization of the results of research of foreign theories in the field of practical consulting and systematization of practical experience of professional training of students.
Penggunaan Media Audio Visual untuk Meningkatkan Motivasi dan Hasil Belajar

This research was aimed to know that using of audio visual media could increase motivation and learning outcome of social studies in elementary school. Method which used in this research was PTK it was consist of three cycles, each cycles has planning, implementation, observation and reflection. Result of this research showed that there was an increasing on: (1) student’s motivation to learn, which 56,25% on 1st cycle, 74,19% on 2nd , and 90% on 3rd cycle; (2) student’s learning outcomes in cognitive aspect increased from average value 69,53 on 1st cycle, 73,71 on 2nd cycle, 80,66 on 3rd cycle, in affective aspect was 56,25% on 1st cycle,74,19% on 2nd cycle, 90% on 3rd cycle, in psychomotor aspect increased from average value 70,08 on 1st cycle, 75,18 on 2nd cycle, and 80,59 on 3rd cycle. Implication, based on research was audio visual media could increase learning motivation and the increasing of learning motivation could increase learning outcome.
Grade 10 Students’ Perception of Learning Environment: Prospects for K to12 Science Teaching Enhancement

Creating a positive psychosocial learning environment (PsLE) that holistically considers the learners’ needs is vital to optimizing learning productivity in Science. This study investigates the Science learning environment as perceived by the students in actual Science classes. Anchored on the three PsLE dimensions namely: relationship, personal development, and systems maintenance and change, it tracks for alignment of the current Science teaching and learning practices to the expectations of the Kto12 Science curriculum standards. A survey method was done to gather the students’ perception ratings based on a 5-point Likert scale (with 5 as most indicative) using the adapted established learning environment instruments, namely, the Constructivist Learning Environment Survey, the Individualized Classroom Environment Questionnaire, and the Science Laboratory Environment Inventory. The data was collected from 105 Grade 10 students in one of the provinces in Central Visayas, Philippines, and treated statistically using descriptive statistics to get the mean percentage score and standard deviation. Results showed a high perception rating of the scales in the relationship dimension with a mean perception score (MPS = 3.7, SD= 0.36) and least in the personal development dimension. The specific scales that are of low perception include independence, open-endedness, shared control, and differentiation. These findings bear implications for potential interventions for the improvement of Kto12 Science teaching. Re-tooling the teachers with professional development training is a practical move that can be undertaken by the school leadership. Some concrete teaching practices anchored on the PsLE framework are discussed for the enhancement of Kto12 Science teaching.