Reviewerly/exHarmony huggingface dataset:
Petrogenetic Link between Aillikites and Carbonatites in the Tarim Large Igneous Province

Despite their common field relationships, the petrogenetic links between aillikites and carbonatites remain controversial [1] .This study presents the results of a detailed geochemical and isotopic examination of the Permian Wajilitag aillikites in the northwestern Tarim large igneous province, including olivine major-and trace-element and (in-situ secondary ion mass spectrometry) oxygen isotope compositions and bulk-carbonate C-O isotopic analyses.Olivine in the aillikites occurs in two textural types: (i) microcrysts, 0.3-5 mm; and (ii) macrocrysts, 0.5-2.5 cm.The microcrysts exhibit well-defined linear correlations between Fo (79-89), minor and trace elements, indicating that these olivines are phenocrysts crystallized from the host aillikite magmas.Olivine phenocrysts in the more primitive aillikite dykes (Dyke 1) have relatively higher Fo 82-89 and mantle-like oxygen isotope values, whereas those in the more evolved dykes (Dyke 2 and 3) exhibit lower Fo 79-86 and oxygen isotope values that trend toward lower than mantle δ 18 O values.The decreasing δ 13 C values of carbonate from Dyke 1 through to Dyke 2 and 3 suggest that the low δ 18 O values of olivine phenocrysts in Dyke 2 and 3 resulted from carbonate melt/fluid exsolution from a common progenitor melt.These lines of evidence combined with the overlapping emplacement ages and Sr-Nd isotope compositions of the aillikites and carbonatites in this area [2] indicate that these exsolved carbonate melts probably contributed to the formation of the Tarim carbonatites thus supporting a close petrogenetic relationship between aillikites and carbonatites.
An adaptive RNN algorithm to detect shilling attacks for online products in hybrid recommender system

Abstract Recommender system (RS) depends on the thoughts of numerous users to predict the favourites of potential consumers. RS is vulnerable to malicious information. Unsuitable products can be offered to the user by injecting a few unscrupulous “shilling” profiles like push and nuke attacks into the RS. Injection of these attacks results in the wrong recommendation for a product. The aim of this research is to develop a framework that can be widely utilized to make excellent recommendations for sales growth. This study uses the methodology that presents an enhanced clustering algorithm named as modified density peak clustering algorithm on the consumer review dataset to ensure a well-formed cluster. An improved recurrent neural network algorithm is proposed to detect these attacks in hybrid RS, which uses the content-based RS and collaborative filtering RS. The results are compared with other state of the art algorithms. The proposed method is more suitable for E-commerce applications where the number of customers and products grows rapidly.
Proteção de dados pessoais versus proteção da Saúde em tempos de pandemia – Tendências do presente que anunciam o futuro, a curto, médio e longo prazo versus sinais do futuro no presente

The right to health is a fundamental right enshrined in the Constitution of the Portuguese Republic. The right to data protection is not an absolute right, so it may give way to other rights, depending on the circumstances. This right implies a care with the security of information, where personal data are integrated. This is a trend of the present that announces the future, in the short term. It is a sign of the future in the present. This trend has been reinforced by the abrupt intrusion of the coronavirus into national, European and global life, which is causing a pandemic, that must be urgently combated. We have taken a brief look at some of the mechanisms and tools used in this fight, with implications for the protection of personal data. Despite the imperative of defending personal data and their protection, this will always have to be given up when more relevant values are at stake, such as the cause of the individual health and public health in general, called into question by the pandemic.
Privacy-Preserving Estimation of Electric Vehicle Charging Behavior with Federated Vehicular Edge Computing

With the popularity of electric vehicles, the charging data openness and sharing among stakeholders enable more accurate charging behavior estimation, which is valuable for optimizing energy systems and facilitating travelling convenience, etc. Nonetheless, to enable such an effective mechanism, the challenge of data security and privacy needs to be addressed. Federated learning in the vehicular network is attractive for utilizing individual vehicle data while preserving data privacy. We propose an improved local differential privacy-based federated learning approach for modeling charging session prediction problems while preserving user privacy and against the threat from honest-but-curious servers. In this approach, all vehicles, under the coordination of a cloud server, collaboratively establish a global regression network through the parameter exchange manner. Whilst, the servers may belong to third-party model owners and can be semi-honest to infer private information on the collected model parameters. Hence, local differential privacy is adopted to perturb the parameters. Further, a mixture of local and global model via elastic synchronization is proposed to improve the accuracy of the learned noisy global model. Through the test on a real data set, the results show the superiority of the proposed algorithm over traditional noisy federated learning methods. Furthermore, the practical value of the proposed method is validated with a real-world charging case. Such accurate charging session prediction service for electric vehicle drivers facilitates charging and travelling convenience in the green transportation world.
Pattern Analysis of Drug Procurement System With FP-Growth Algorithm

The Medan Marelan Health Center is one of the health centers in the city of Medan. The supply of medicines is considered necessary so that these medicines can still be available at any time with various types and functions. In order not to experience difficulties in distributing medicines and anticipating the supply of medicines in the Puskesmas, research was carried out using the Data Mining method. In this study, a test will be carried out on the Association Rule which is used as a solution to problems with the pattern of the drug procurement system, and will display information about the value of support and confidence from each Data Mining process. Tests in this study using Weka Software to determine the procurement of drugs that are often needed. Information obtained from the stages of the FP-Growth Algorithm is to produce patterns in the procurement of medicines, and an itemset combination pattern has been formed using the FP-Growth Algorithm method so that the results of this study can be used in drug supply effectively and efficiently.
THE STUDY OF COGNITIVE STRATEGIES IN LEARNING SPEAKING USED BY THE THIRD SEMESTER STUDENTS OF ENGLISH EDUCATION DEPARTMENT AT ALAUDDIN STATE ISLAMIC UNIVERSITY

This research method is descriptive qualitative. In compiling the data, the researcher conducted interviews and observations. In this study, 42 third-semester students of the Department of English Education at the Alauddin State Islamic University in Makassar were the research subjects. In addition, four students were interviewed, and 42 students were observed during the speaking class.The results showed that: 1) There are several classifications of cognitive strategies used by students in learning to speak, namely practicing, receiving and sending messages, analyzing and reasoning, and structuring input and output. In practice, students use repetition, apply rules of pronunciation, rules of grammar are too seldom used. Then, during receiving and sending messages, students need to think for a moment before giving their ideas. Next during receiving and sending messages, students need to think for a minute before providing their idea. Furthermore, while the strategy of analyzing and reasoning, students apply to analyze expressions, translating, and contrasting what they learn. The final cognitive strategy is to create structures for input and output. Students usually get notes and shorten the material. 2) Cognitive strategies have a positive effect on students' speaking performance
Perbandingan Prestasi Belajar Siswa pada Mata Pelajaran IPS Sebelum Penerimaan Peserta Didik Baru (PPDB) Sistem Zonasi dan Setelah Berlakunya Sistem Zonasi

The purpose of this study was to determine the comparison of student achievement in social studies subjects before the acceptance of new students (PPDB) zoning system and after the enactment of the zoning system at SMPN 2 Bengkulu City. The research method used is a quantitative method with a comparative approach. A sample of 100 students, consisting of 50 students from before the admission of new students (PPDB) zoning system and 50 students after the enactment of the zoning system, was taken by random sampling technique. and the 2020/2021 academic year where the report card scores are taken from the UAS results. Analyzed using prerequisite tests consisting of data normality test, data homogeneity and then hypothesis testing. The results of the study were that there were differences in student achievement in social studies subjects before the acceptance of new students (PPDB) with the zoning system and after the enactment of the zoning system at SMPN 2 Bengkulu City. This is based on the "z" test on the UAS scores of students in both groups, obtained zcount = 5.586 while ttable = 1.65 at a significant level of 5% which is 1.6, thus zcount &gt; ttable (1.6 &gt; 5.586) which means the hypothesis (Ha) in this study was accepted. In conclusion, there are differences in learning achievement in social studies subjects before the admission of new students (PPDB) zoning system and after the enactment of the zoning system at SMPN 2 Bengkulu City.&#x0D; Keywords: Student Achievement, New Student Admission (PPDB) Zoning System
Student Self-government through the Eyes of a Psychologist

At the beginning of the 90s of the 20th century, the school system of Bulgaria implemented a strategy of student self-government through the Student Council. The goal is for students to actively participate in school life. The proposed management system aims to give a different insight to the new generation. The article examines from a psychologist's point of view the problems that different generations face in our common life path. The goals and brief strategy of our high school are presented in order to achieve maximum results in relations, guidelines and perspective in the growth of generation Z. Our main task that we have set ourselves is that our students become not only good specialists in their professions, but also good people. In this dynamic age, teachers and their students need to find an intersection for proper communication, understanding and problem solving in various situations. Efforts should be made to give clear signals when setting various tasks. At “Vasil Levskiˮ Secondary School, we have high goals so that our high school graduates can be competitive on the labor market. We strive to achieve all this through student management at all levels.
Prediksi Status Penanganan Pasien Covid-19 dengan Algoritma Naïve Bayes Classifier di Provinsi Riau

Covid-19 is a new virus that emerged at the end of 2019 in Wuhan city, China. This virus continues to grow until it spreads to various countries in the world. As a result, there has been a large accumulation of Covid-19 patients in every hospital in every country affected by Covid-19. Covid-19 patients receiving treatment in hospitals have different conditions and severity, this of course affects the different mechanism for handling patients. Therefore, technological support is needed to help classify the treatment of patients so that they can be concentrated on patients who can be treated with isoman treatment or must be referred to hospital. This research was conducted to build a model based on a dataset of patients infected with Covid-19 using the Naive Bayes Classifier algorithm. The model built can predict the treatment status of patients based on age and gender who have the highest probability of being treated in an isoman way or having to be referred to hosspital. Data used is applied using Rapidminer with validation used is spill validation with the ratio of training data is 70% and test data is 30%. The results of this research indicate classification using the Naive Bayes Classifier algorithm has a high level of accuracy in classifying patient status data, rately 83.33%.
PENGARUH E-LEARNING DENGAN TTS BERBASIS HOT POTATOES TERHADAP HASIL BELAJAR SISTEM EKSKRESI KELAS XI

AbstractThe aim of this research is to find out the effect of online learning using HotPotatoes application based crossword puzzle on students learning outcomes onthe structure and function of the human excretory system in class XI SMA SantoFransiskus Asisi. The research’s form is Pre-Experimental Design with OneGroup Pretest-Posttest research design. The sample used in this research is XIMIA class in SMA Santo Fransiskus Asisi, which amounts to 13 students.Sampling using Saturated Sampling technique. Data collection was using pre-test and post-test questions in the objective form. The results showed that meanscore of student learning outcomes before using the Hot Potatoes applicationbased crossword puzzle was 14,46 and mean score of student learning outcomeafter using Hot Potatoes application based crossword puzzle of 18,15. The priceof Wilcoxon match pairs test with SPSS 22 programs is obtained 0,001 whichindicates that there is an effect of online learning using Hot Potatoesapplication based crossword puzzle on students learning outcomes on thestructure and function of the human excretory system in class XI SMA SantoFransiskus Asisi.Keywords: Crossword Puzzles, Excretory System, Hot Potatoes, LearningOutcomes, Online Learning.
FAKTOR-FAKTOR YANG MEMPENGARUHI KETERLAMBATAN PENYELESAIAN STUDI MAHASISWA PROGRAM STUDI PENDIDIKAN TATA RIAS DAN KECANTIKAN FPP UNP

This exploration was spurred by numerous understudies of the Cosmetology and Beauty training study program who experienced deferrals in finishing their examinations. The deferral in finishing studies is affected by inward and outer elements. This investigation intends to: 1). to dissect the impact of inner elements on the postponement in finishing the investigations of understudies in Makeup and Beauty Education. 2). To break down the impact of outside factors, the postponement in finishing the investigations of understudies in Makeup and Beauty Education. 3). To investigate the impact of inward factors and outside factors together on the postponement in finishing the investigations of understudies in Makeup and Beauty Education. This kind of exploration utilizes a quantitative system. The subjects of this examination are the understudies of the Cosmetology and Beauty Education Study Program, FPP UNP class 2016. In the mean time, the object of this examination is the elements that influence the deferral in finishing understudy considers. The populace in this investigation were 25 2016 understudies who were still effectively enlisted as UNP understudies and the testing strategy in this examination utilized the complete inspecting method. The information assortment procedure utilized is a survey/poll and appropriated through Google Form. Testing the instrument in this examination is a trial of the legitimacy of the instrument and test the dependability of the instrument. The information investigation strategy in this exploration is graphic examination method, investigation essential test and various relapse examination. In view of the aftereffects of the investigation, it was presumed that there was a huge impact among inside and outside factors on the postponement in finishing the investigation of understudies of the cosmetology and magnificence schooling study program. It tends to be seen that inside factors significantly affect the deferral in finishing concentrates by 37.2%, outer factors essentially influence the postponement in finishing understudy concentrates by 47.05%, and inner and outside factors fundamentally impact the postponement in finishing understudy examines. sebasar 71.2%. While the excess 28.8% is impacted by different elements. Thus, in general every factor affects the postponement in finishing understudy examines. It is suggested that understudies can seek after learning systems well so that deferrals in finishing studies can be survived
Pengembangan E-Book Interaktif Untuk Mendukung Pembelajaran Daring Pada Mata Kuliah Penelitian Sastra

The use of technology during a pandemic plays a role in supporting the Ministry of Education and Culture's instructions so that online learning can break the chain of the spread of Covid-19. Thus, this study aims to develop interactive e-books in literature research courses. The method used is in the form of a development motto with a 4D model. The developed e-book is then validated by an expert. The validation results of the display components obtained an average value of 4.50. The results of the sample paired t test with a confidence level of 93%, it can be concluded that students after using the E-Book showed significantly higher learning outcomes, which is an average of 80.60 when compared to before using the E-Book, the average result is only 71.90. Thus, the E-Book can be said to be effective or accepted in lectures as a support for online learning
Review on Quantum Computers in Machine Learning

The product development, process optimization and chemical discovery are also among the actual manufacturing areas for witnessing the major innovations for quantum computing. The quantum simulations can also be capable of replacing the laboratory experiments that reduces the research cost and also even minimize the requirement of animal and human testing. Apart from that, quantum computers can bring the huge potential advantages within the financial sectors that are from deeper analytics to the latest and faster trading possibilities. In the current scenario, the existing computers struggle in calculating big data and are unable to solve several complex problems. Therefore, these problems are much more expected to be resolved within a few seconds by the help and power of the quantum computers. Apart from that, it is also predicted that the AI applications within the particular ML can also benefit from the advanced technology of quantum computing. Keyword :Machine learning, Artificial Intelligence, Quantum computing, Cyber security.
DESIGN OF INTERACTIVE LEARNING MULTIMEDIA MATERIALS OF BATIK JUMPUT ON SBdP SUBJECTS IN ELEMENTARY SCHOOL

Designing Interactive Multimedia Learning for Batik Jumput for SBdP Subjects at SD Negeri Gambiran seeks to produce interactive multimedia learning at SD Negeri Gambiran and establish the feasibility of the development's outcomes based on expert opinion and student comments. This research is design and development research. The subjects of this study are students of class V of Gambiran State Elementary School. This development model refers to the ADDIE development model, which consists of five stages: Analyze, Design, Development, Implementation, and Evaluation. Method of data collection with observations, interviews and questionnaires. Eligibility assessments involve experts and learners' responses. The results of this study are; (1) Interactive Multimedia batik jumput SBdP subjects; (2) Interactive multimedia is worth using both in terms of material and visual appearance. The feasibility of interactive multimedia is based on assessments from media experts, material experts, teachers with 87.5%, 92.5%, 97.5%, respectively
Pengaruh Pendidikan, Pengangguran dan Kepadatan Penduduk Terhadap Kriminalitas di Indonesia

This study aims to determine the effect of several variables on crime in Indonesia. The variables used in this research are Education, Unemployment, and Population Density. This study uses secondary data with panel data using 31 provinces in Indonesia with the Random Effect Model (REM) approach.The results showed that: (1) Education had a negative and insignificant effect on crime (2) Unemployment had a positive and insignificant effect on crime (3) population density had a positive and significant effect on crime.The results of this study are expected to the government and the authorities to be active in conducting socialization aimed at creating security and based in areas prone to crime and implementing education improvement programs and creating jobs to improve the community's economy.
Perancangan Sistem Informasi Pengelolaan Dana Masjid Berbasis Web Menggunakan Unified Modeling Language (UML)

Information needs among the people at the moment is very large, including information on the management of fund mosque around them. The administrative system related to the processing of financial data is an important thing for an agency, be it government institutions, community institutions, or religious institutions such as mosques. Mosques are religious institutions that are managed independently by the community. As one of the institutions that manage funds collected voluntarily from the community, accountability and transparency are needed in its management. Masjid Al-Istiqomah Muaro Jambi in fund management still uses manual methods, namely by recording on the cash book so as to allow inaccuracy of data in recording incoming and outgoing funds and difficulties in finding previous data, as well as the absence of transparency of the overall funds owned by The Al-Istiqomah Mosque to the local community. This study aims to make it easier for mosque administrators to manage mosque funds and provide financial information quickly, precisely and accurately to the public. The model used in this study is unified modelling language (UML) and prototype design using figma application. This research resulted in a prototype of a web-based information system for managing funds mosque and their reporting.
Formation of environmental culture among foreigners in Czech language courses based on remote method of learning

For favorable conditions of human activity, clean water and air are required, as well as a healthy environment. The active process of urbanization has caused an increase in water, air and soil pollution. To solve many environmental problems, it is necessary to develop and implement uniform environmental rules and regulations. The ecological and legal culture of a person are closely interrelated. Respect for the environment should be the responsibility of every person. Only under the condition of rational use of natural resources are favorable conditions for the existence of human civilization possible. Each person must be aware of the state of the environment for their existence. Ecological culture is a system of moral human values based on the principle of the unity of man and nature. Ecological culture determines the degree of a person’s possession of ecological knowledge and their interest in using this knowledge in everyday life. Improving the ecological culture of society can be achieved in the process of environmental education and environmental education. The implementation of projects on environmental topics in the process of learning a foreign language makes it possible not only to improve the level of foreign language proficiency, but also to raise the level of environmental culture among students. Distance learning primarily provides for independent educational activities of students with electronic sources of information. Various forms of distance learning allow students to develop the skills of joint educational and research activities. These skills will be useful to them in their future professional careers.