Reviewerly/exHarmony huggingface dataset:
Development of a Project-Based Learning Model through a Contextual Approach in News Writing

This development research aims to find out: (1) how the implementation of learning to news writing is currently being carried out by students of the PBSI Study Program, University of PGRI Semarang, (2) how the effectiveness of the implementation of project-based learning models through a contextual approach in the ability to news writing for students of the PBSI Study Program, University of PGRI Semarang. , and (3) how to develop a project-based learning model through a contextual approach to improve the ability to news writing for students of the PBSI Study Program, University of PGRI Semarang. This research method is the Research and Development (R&amp;D) method. The population of this research is the students of the PBSI Study Program, University of PGRI Semarang. Data was collected through observation, interviews, questionnaires, and tests. To develop the learning model, a preliminary study was carried out, model design, trials, revisions, and final modeling. After the final model is obtained, it is tested on students and summarizes the responses given by students. To analyze the statistical assessment in the process of implementing the test, the t-test was applied. Based on the results of the research, it is known that the students' views on how to learn to write news show that the learning that is mostly done by students is writing on their own either on campus, at home, and discussing with friends. After testing the hypothesis with the rule of t arithmetic &gt; t table or 11.473 &gt; 2.042, there is a significant difference between student learning outcomes in the first treatment and the second treatment. At the development stage this model was analyzed based on the concept of learning to news writing including, material, methods, attitudes, steps, and learning design.
ARTIFICIAL ENVIRONMENT FOR ENGLISH COMMUNICATION “CASE STUDY AT ONE OF BILINGUAL ISLAMIC BOARDING SCHOOL IN PROBOLINGGO”

The built environment with the aim of mastering English with a communicative approach is indeed often applied in the educational environment of Islamic boarding schools or bilingual schools or boarding-based educational institutions. This is to form students who are capable and master foreign languages ​​needed for preparation for entering college and preparation for work. The purpose of this research is to find out the application of an artificial environment in one of the bilingual islamic boarding schools in Probolinggo, in communicating using English. This research uses descriptive methods with a qualitative approach including primary data, namely data taken from interviews, observation, and documentation and secondary data, namely data collected from various previous studies in scientific articles, relevant books, and other research. , to internet sites that have a relationship with this research . The results found that there was success in implementing an artificial environment for English communication in one of the bilingual Islamic boarding schools in Probolinggo. This is seen through the mental or social processing carried out by students in empirical institutions. First, a communication strategy by selecting communicators or English teachers who are truly competent in their fields. Second, using a mapping strategy for students of various levels to hone their communication competence in English. Third, the challenge faced by students is listening to foreign vocabulary that is difficult for them to understand. Fourth, the implementation of the environment in this pesantren shows maximum value even though there are some students who are reluctant to communicate in English because of awareness and lack of pressure from parents. Fifth, the symbolic result of mandatory English communication is the way students joke, mingle, socialize, and learning activities in the cottage using English
SISTEM INFORMASI PENERIMAAN PESERTA DIDIK BARU ( PPDB ) DI MA SABDA RIA NADA SUMBERMALANG

Information System for New Student Admissions (PPDB) at MA Sabda Ria Nada. Information Technology Education, Teacher TrainingCollegeand Education Science Teacher Association of the Republic of indonesia.&#x0D; This information system includes the New Student Admissions (PPDB) activity which will allow prospective new students to register at MA Sabda Ria Nada without having to come to school to register.&#x0D; The new student admissions information system software at MA Sabda Ria Nada was successfully created using PHP and MySQL. This system is able to manage registration well. In this study the authors used a research and development type or Research and Development (R &amp; D).Based on the perception of the media expert, it is 100% very feasible, the assessment by the material expert is 90% very feasible and the assessment from 4 users states 80% is feasible and 20% states it is not feasible.&#x0D; Information System for New Student Admissions (PPDB) at MA Sabda Ria Nada. Information Technology Education, Teacher TrainingCollegeand Education Science Teacher Association of the Republic of indonesia.&#x0D; This information system includes the New Student Admissions (PPDB) activity which will allow prospective new students to register at MA Sabda Ria Nada without having to come to school to register.&#x0D; The new student admissions information system software at MA Sabda Ria Nada was successfully created using PHP and MySQL. This system is able to manage registration well. In this study the authors used a research and development type or Research and Development (R &amp; D).Based on the perception of the media expert, it is 100% very feasible, the assessment by the material expert is 90% very feasible and the assessment from 4 users states 80% is feasible and 20% states it is not feasible.
PENGARUH MOTIVASI DAN PEMANFAATAN SUMBER BELAJAR BERBASIS WEBSITE TERHADAP HASIL BELAJAR PAI PESERTA DIDIK SEKOLAH DASAR

Abstract: This study aims to determine the effect of motivation and utilization of website-based learning resources on PAI learning outcomes for elementary school students. This study uses a quantitative approach, data is taken using a questionnaire with a Likert scale which is made in an online form {google form} and distributed using the WhatsApp social media network to respondents of students at the 011 Bontang Selatan State Elementary School in grades IV, V and VI, totaling 67 respondents who provide answers and return the form. The data were analyzed by statistical t and F tests to find out the answer to this research hypothesis. The results of the study found that there was a significant effect of learning motivation and the use of website-based learning resources on PAI learning outcomes for elementary school students, meaning that learning resources from this factor were widely available and plentiful on the internet, it requires the ability of teachers and students to utilize website learning resources in terms of technological capabilities and the ability to analyze digital content. Students will get many learning resources from the internet or websites. However, elementary school students still need to be assisted and given the right direction in choosing and sorting out the right website as a learning resource. Researchers also recommend future research.&#x0D; Keywords: Motivation, Learning Resources, Internet and Websites, Students, Elementary Schools.&#x0D; &#x0D; Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh motivasi dan pemanfaatan sumber belajar berbasis website terhadap hasil belajar PAI peserta didik sekolah dasar. Penelitian ini menggunakan pendekatan kuantitatif, data diambil dengan menggunakan kuesioner dengan skala likert yang dibuat dalam formulir online {google formulir} dan dibagikan menggunakan jaringan media sosial WhatsApp kepada responden peserta didik Sekolah Dasar Negeri 011 Bontang Selatan pada kelas IV, V dan VI yang berjumlah 67 responden yang memberikan jawaban dan mengembalikan formulirnya. Data dianalisis dengan statistik uji t dan F untuk mengetahui jawaban pada hipotesis penelitian ini. Hasil penelitian menemukan bahwa terdapat pengaruh yang signifikan motivasi belajar dan pemanfaatan sumber belajar berbasis website terhadap hasil belajar PAI peserta didik SD artinya sumber belajar dari faktor ini sudah tersedia luas dan banyak di internet, diperlukan kemampuan guru dan peserta didik dalam memanfaatkan sumber belajar website dari segi kemampuan teknologi maupun kemampuan menganalisa konten digital. Peserta didik akan memperoleh banyak sumber belajar dari intrenet atau website. Namun peserta didik sekolah dasar masih perlu didampingi dan diberikan arah yang benar memilih dan memilah website yang tepat sebagai sumber belajar. Peneliti juga merekomendasikan penelitian di masa depan.&#x0D; Kata Kunci: Motivasi, Sumber Belajar, Internet dan Website, Peserta Didik, Sekolah Dasar.
IMPLEMENTASI METODE SELEKSI FITUR MENGGUNAKAN ARTIFICIAL BEE COLONY PADA KLASIFIKASI RETINAL NERVE FIBER LAYER

Damage to Retinal Nerve Fiber Layer can Cause Glaucoma. Glaucoma is an inflammation of the optic eye which is characterized by progressive deterioration of Optic Nerve Head and field of view. Problems that require a classification solution are hindered by the large data dimensions. Artificial Bee Colony is one of the evolution algorithms widely used for feature selection and optimization. Gray level Coocurrence matrix is used as a feature extraction method, the Artificial bee colony method is used as a feature selection and Support Vector Machine used as Classification. The proposed method using Artificial Bee Colony gets improved Accuracy compared to method without using Artificial Bee Colony. The results obtained by the proposed method were 95% for accuracy, 95.9% for specificity and 93.7% for sensitivity where methods that did not use Artificial Bee Colony obtained an accuracy of 93.8%, Specificity sebsar 90.3% and Sensitivity of 92.6%.
Flexibility in learning management and technologypreparedness among faculty members in higher educationinstitutions

Faculty members were challenged to continue teaching beyond the traditional mode during the COVID-19pandemic. Therefore, the research focused on the level of management functions and technological preparednessof the faculty members with permanent employment status under the business programs of higher educationinstitutions (HEIs) in Nueva Vizcaya. The idea behind the research was drawn from the theories of planning,organizing, leading, and controlling and technology preparedness in terms of technology access, technologyskills and literacy, and attitude toward technology. The study’s findings revealed that faculty members have ahigh level of management and technology preparedness. Moreover, the study revealed that the profile of thefaculty members had no relationship to their level of implementation of management strategies. On the otherhand, younger faculty members have greater technology access and literacy skills. Furthermore, profiles werenot a significant factor in their level of attitude toward technology. More results showed that when the level ofimplementation of management strategies is high, the result is also high in terms of technological preparedness.Based on the study’s findings, the researcher recommended an enhanced program for better implementation offlexible learning in HEIs.
Moderno kazalište iz estetskih perspektiva

Modern aesthetics is fascinated by the quality of empirical expressions in art, where the most unattainable forms of experiences seek refuge to survive through temporal dialectics. Whereas modern art endeavors to transcend its inherent experience of suffering through negating the sociopolitical reality of the imposed suppressive pain, Theodor Adorno’s Aesthetic Theory associates itself with the study of a non‐discursive form of experience that refers to the transient nature of a multilayered truth, compromising a self‐reflexive and subjectively temporal essence, to which all aesthetic questions terminate. Correspondingly, the current paper aims at approaching Eugene O’Neill’s mental theater from a new perspective, acknowledging the significance of temporal dialectics in modern aesthetics. Accordingly, the current research studies Eugene O’Neill’s Long Day’s Journey into Night based on the elements of temporal dialectics and aesthetic negation, confirming the significance of these elements in detecting the ultimate aesthetic truth in the works of literature.
The Weak Level of Iraqi Human Capital According to the Indicators of the World Bank and its Impact on Economic Growth

The aim of this study was to shed light on the weakness of Iraq in utilizing its human capital and to examine the future productivity of the Iraqi workforce and its implications for long-term economic growth. The study also sought to identify the indicators used by the World Bank to measure human capital investment. Therefore, the research problem focused on the crisis of Iraqi human capital and the low productivity of the next generation of the workforce due to the lack of attention, inadequate investment, and insufficient training and development programs that align with the rapid technological advancements. The study concluded that Iraq possesses a demographic dividend, but this dividend is being wasted, as the human resources and capabilities are not being utilized effectively to enhance future economic growth. This leads to the creation of a generation incapable of keeping up with the rapid development, primarily due to low expenditure on education and healthcare compared to other developing countries. Secondly, the study identified the mismatch between the outputs of education and the needs and requirements of the labor market, which ultimately results in the limited contribution of human capital towards achieving long-term productivity. Consequently, Iraqi human capital lags behind in terms of development, creativity, and innovation compared to the rest of the world. Moreover, the mismatch between educational outputs and the needs and requirements of the labor market leads to a diminished contribution of human capital to achieving long-term productivity. This results in Iraqi human capital falling behind in terms of development, creativity, and innovation compared to the advancements made by countries worldwide.
Backup &amp; Data Recovery in Cloud Computing: A Systematic Mapping Study

Context: Digital data is being stored in large quantities in Cloud, requiring data backup and recovery services. Due to many factors such as disasters and other disruptive events, the risk of data loss is huge. Therefore, backup and data recovery are essential and effective in improvement of system availability and maintaining Business Continuity. Nevertheless, the process to achieve the goal of business uninterrupted faces many challenges regarding data security, integrity and failure prediction. Objective: This paper has the following goals: analyzing system- atically the current published research and presenting the most common factors leading to the need of Disaster Recovery and backup plan; investigating and identifying the adopted solutions and techniques to prevent data loss; and lastly, investigating the influence Data Recovery and Backup has in terms of business continuity and identifying the privacy and security issues regarding the disaster recovery process. Method: A systematic mapping study was conducted, in which 45 papers, dated from 2010 to 2020 were evaluated. Results: A set of 45 papers is selected from an initial search of 250 papers, including 10 papers from snowball sampling, following the references from some papers of interest. These results are categorized based on the relevant research questions, such as causes of disasters, data loss, business continuity, and security and privacy issues. Conclusion: An overview of the topic is presented by investigating and identifying the following features: challenges, issues, solutions, techniques, factors, and effects regarding the backup and recovery process.
Africa’s sustainable investments in times of global crises

This chapter makes the case that African countries need more sustainable investments to create jobs and promote inclusive growth. It outlines the extent to which sustainable investments and financing have not met the many opportunities that the continent offers and analyses the potential for improvement. The chapter first assesses the sustainable investment landscape that is emerging from the concurrent crises of the COVID-19 pandemic, the global repercussions of conflicts and climate change and provides an estimate for the continent’s sustainable financing gap. Second, it examines low investor confidence and the high cost of capital as specific investment barriers that these crises have amplified. Third, the chapter identifies investment linkages with small and medium-sized enterprises, intra-African investments and institutional investors as three domains offering untapped potential to support Africa’s regional integration and sustainable growth.
Dual memory model for experience-once task-incremental lifelong learning

Experience replay (ER) is a widely-adopted neuroscience-inspired method to perform lifelong learning. Nonetheless, existing ER-based approaches consider very coarse memory modules with simple memory and rehearsal mechanisms that cannot fully exploit the potential of memory replay. Evidence from neuroscience has provided fine-grained memory and rehearsal mechanisms, such as the dual-store memory system consisting of PFC-HC circuits. However, the computational abstraction of these processes is still very challenging. To address these problems, we introduce the Dual-Memory (Dual-MEM) model emulating the memorization, consolidation, and rehearsal process in the PFC-HC dual-store memory circuit. Dual-MEM maintains an incrementally updated short-term memory to benefit current-task learning. At the end of the current task, short-term memories will be consolidated into long-term ones for future rehearsal to alleviate forgetting. For the Dual-MEM optimization, we propose two learning policies that emulate different memory retrieval strategies: Direct Retrieval Learning and Mixup Retrieval Learning. Extensive evaluations on eight benchmarks demonstrate that Dual-MEM delivers compelling performance while maintaining high learning and memory utilization efficiencies under the challenging experience-once setting.
Absolute measurement of focusing properties of a large-aperture diffractive lens

Diffractive lenses are popular in large optical systems owing to their lightweight and multifunctional design. However, they are difficult to calibrate accurately due to the cross talk between the first-order diffraction and the background light. Here, a quadriwave lateral shearing interferometry (QWLSI) with spherical wave illumination was proposed to absolutely measure the focusing properties of diffractive lenses by means of the reference background light, in which the corresponding theoretical modeling was first derived, and then the single-shot experiment on a 210 mm-diameter beam was carried out. The results showed that the measurement error of the focal length was 0.59%, and the consistency error was 0.008%.
Efficient Capture of Solar Energy in Romania: Approach in Territorial Profile Using Predictive Statistical Techniques

Abstract Nowadays, the renewable energy sector is an area of interest for every state. Global regulations and policies encourage the development of these technologies, given the current political context, but also environmental issues. Romania, due to its geographical position and climate, is considered a country with high potential regarding the implementation of alternative sources of renewable energy. This research presents the importance of solar energy and provides a statistical analysis on the sectors influencing the implementation of green energy. At the same time, those counties that are eligible are identified and different scenarios are created for the ineligible counties that lead to their eligibility. The research develops 3 main objectives. To begin with, it is desired to be created an overview of the indicators included in the analysis, in order to develop a detailed statistical analysis of the situation of each county of Romania. Following this extracted information, the second objective is outlined, which is to create an indicator that groups counties into counties eligible for solar energy and counties ineligible for solar energy using the K-Means Cluster-unsupervised learning algorithm. Finally, using the supervised learning algorithm - Logistic Regression, predictions will be made with the help of which those sectors of activity that can be improved in order to implement green energy will be identified.
Improving the Students’ Writing Skills by Integrating Problem-based Learning (PBL) with Teaching at the Right Level (TaRL) Approach in Class 7. C of SMP-TQ Mu’adz bin Jabal

This study aims to improve students' writing skills by integrating Problem-based Learning (PBL) with the Teaching at the Right Level (TaRL) approach in class 7. C of SMP-TQ Mu’adz bin Jabal. This study was collaborative Classroom Action Research (CAR), with a writing test, observation sheet, and e-questionnaire as research instruments. This study used three stages of statistical technique; first, measure the students’ writing skills using a writing scoring rubric. Second, determine the category of students' scores. Third, find out the class percentage of writing score category where it can be said the student's writing skills in 7. C improves if 70% of the total students obtained a very good category (81-100) as their learning objectives achievement criteria in their writing assessment. The study result revealed that the % of students' writing score category in cycle one is 48%, then increased in cycle two is 74%. It concluded that the writing skills in class 7. C improves. Further study is recommended to investigate the PBL in improving other language skills such as listening, speaking, and reading to establish more conclusive findings on its roles.
Sentiment Classification Using a Sense Enriched Lexicon-based Approach

The prominent approach in sentiment polarity classification is the Lexicon-based approach which relies on a dictionary to assign a score to subjective words. Most of the existing work use score of the most dominant sense in this process instead of using the contextually appropriate sense. The use of Word Sense Disambiguation (WSD) is less investigated in the sentiment classification tasks. This paper investigates the effect of integrating WSD into a Lexicon-based approach for Sentiment Polarity classification and compares it with the existing Lexicon-based approaches and the state-of-art supervised approaches. The lexicon used in this work is SentiWordNet v2.0. The proposed approach, called Sense Enriched Lexicon-based Approach (SELSA), uses a word sense disambiguation module to identify the correct sense of subjective words. Instead of using the score of the most frequent sense, it uses the score of the contextually appropriate sense only. For the purpose of comparison with the supervised approaches, the authors investigate Naïve Bayes (NB) and Support Vector Machines (SVM) classifiers which tend to perform better in earlier research. The performance of these classifiers is evaluated using Word2vec, Hashing Vectorizer, and bi-gram feature. The best-performing classifier-feature combination is used for comparison. All the evaluations are done on the Movie Review dataset. SELSA achieves an accuracy of 96.25% which is significantly better than the accuracy obtained by SentiWordNet-based approach without WSD on the same dataset. The performance of the proposed algorithm is also compared with the best-performing supervised classifier investigated in this work and earlier reported works on the same dataset. The results reveal that the SVM classifier performs better than SentiWordNet approach without WSD. However, after incorporating WSD the performance of the proposed Lexicon-based approach is significantly improved and it surpasses the best-performing supervised classifier (SVM with bi-gram features).