Reviewerly/exHarmony huggingface dataset:
KEMAMPUAN MENULIS GAGASAN PARAGRAF ARGUMENTASI PADA SISWA KELAS X SEMESTER GANJIL SMA NEGERI 7 BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

The purpose of the study was to find out and describe the ability of students in class X odd semester of SMAN 7 Bandar Lampung in the academic year 2018/2019 to write ideas in paragraph arguments and obstacles encountered. This research uses quantitative methods. The study population amounted to 280. The sample technique used cluster random sampling, in order to obtain a sample of 28 students from MIPA.5. or 10% of 280 students. Data analysis using quantitative. The results showed that the students' ability to write paragraph argument ideas was quite sufficient because the average score was 64. In the aspect of the suitability of the title, the average score of 70 students was in sufficient category, while the spelling usage and writing achieved an average score of 50 in the category less. In the aspect of diction, the ability of students is classified as sufficient because the average score is 61 while the accuracy of the sentence structure, the ability of students in the category is sufficient because the average score reaches 64.5. Furthermore, in the intercalal cohesion, the average score was 68, so that the students' abilities were classified as sufficient, while the contents of the overall score were 53 in the less category, and on the neatness, the average score of 77 was good. The most prominent obstacle experienced by students is that students still find it difficult to use spelling properly.
Solving Multiobjective Game in Multiconflict Situation Based on Adaptive Differential Evolution Algorithm with Simulated Annealing

In this paper, we study the multiobjective game in a multiconflict situation. First, the feasible strategy set and synthetic strategy space are constructed in the multiconflict situation. Meanwhile, the value of payoff function under multiobjective is determined, and an integrated multiobjective game model is established in a multiconflict situation. Second, the multiobjective game model is transformed into the single-objective game model by the Entropy Weight Method. Then, in order to solve this multiobjective game, an adaptive differential evolution algorithm based on simulated annealing (ADESA) is proposed to solve this game, which is to improve the mutation factor and crossover operator of the differential evolution (DE) algorithm adaptively, and the Metropolis rule with probability mutation ability of the simulated annealing (SA) algorithm is used. Finally, the practicability and effectiveness of the algorithm are illustrated by a military example.
IMPROVING THE ABILITY OF ENGLISH TEACHERS OF KKM MAN 1 MALANG IN COMPILING MULTIPLE CHOICE THROUGH COLLABORATIVE ASSISTANCE

The purpose of this study is to describe whether Collaborative Assistance can improve the ability of English teachers in compiling multiple choice questions. This study uses a qualitative research method with a school action research approach because this research was carried out based on the findings of problems in the field. The study was conducted in 2 cycles.The results obtained were an increase in the ability of English teachers in compiling multiple choice questions. The results of cycle 1, theaverage score of 84.4 and the results of cycle 2 increased by 93.1.
Hubungan Kebiasaan Belajar dan Lingkungan Sekolah dengan Hasil Belajar Peserta didik

The purpose of this research was to determine a positive and significant relationship between study habit and school environment with the learning outcomes at fourth grade students of SDN Gugus Dokter Wahidin Sudiro Husodo. Type of this research was an ex-postpacto correlation. Techniques of collecting data were observation, questionnaraire, and documentation study. Data analysis used product moment correlation and multiple correlation. The result of the research showed that there were a positive and significant between study habit and school with the learning outcomes at fourth grade students of SDN Gugus Dokter Wahidin Sudiro Husodo shown by the  correlation coefficient of 0.707 considered as strong criteria. Tujuan penelitian ini adalah untuk mengetahui hubungan positif dan signifikan antara kebiasaan belajar dan lingkungan sekolah dengan hasil belajar peserta didik kelas IV SD Negeri Gugus Dokter Wahidin Sudiro Husodo. Jenis penelitian yaitu ex-postfacto korelasi. Teknik pengumpulan data menggunakan observasi, angket, dan studi dokumentasi. Analisis data menggunakan korelasi product moment dan multiple Correlation. Hasil penelitian, diperoleh bahwa terdapat hubungan yang positif dan signifikan antara kebiasaan belajar dan lingkungan sekolah dengan hasil belajar peserta didik kelas IV SD Negeri Gugus Dokter Wahidin Sudiro Husodo ditunjukan dengan koefisiensi korelasi sebesar 0,707 yang berada pada kriteria kuat. Kata kunci: hasil belajar, kebiasan belajar, lingkungan sekolah
ji yu juan ji shen jing wang luo de tu shu guan xin xi an quan de yan zheng ma shi bie fang fa yan jiu

随着大数据时代的到来,数字图书馆作为一项惠民利民的数字化信息资源库,受到广泛大众的关注和喜爱.但同时图书馆信息安全也面临着网络安全的威胁,现有的防范措施存在着较大的安全隐患.该文提出一种基于卷积神经网络的验证码识别方法来提高数字图书馆信息安全中的安全验证问题.针对不同字符类型的验证码图像,该文首先采用自适应滤波去噪和二值闭运算进行预处理;其次构建层数不同的卷积神经网络进行模型训练并保存识别精度最高的模型;最后将验证码测试集输入模型之中进行精度测试.实验结果证明,该方法不仅提高了验证码识别的效率,识别精度也大大提升.因此用该方法来针对数字图书馆中的验证码进行破解,以设计出一种更加安全的验证码防护系统,对提升图书馆的信息安全方面有很大作用.
Health Evaluation Model of higher Education based on optimized BP Neural Network Model

This paper mainly studies the comprehensive evaluation of the development level of higher education system, and establishes the health evaluation model and sustainable evaluation model. First of all, this paper divides the indicators of higher education into three aspects, collects the data of 7 countries with different development levels, and establishes 11 indicators for evaluating the development quality of higher education. Principal component analysis is used to reduce 11 secondary indicators to 3 first-level indicators. Secondly, the BP neural network is used to construct three first-order indexes as input vectors, and genetic algorithm is used to improve the accuracy and convergence of the model.
An experimental approach for discovering association rules using FP-growth algorithm

Information mining is utilized to manage the immense size of the information put away in the data set to extricate the ideal data and information.It has different strategies for the extraction of information; affiliation rule mining is the best information mining procedure among them.It finds covered up or wanted example from huge measure of information.Among the current strategies the continuous example development (FP development) calculation is the most productive calculation in discovering the ideal affiliation rules frequent example mining is one of the dynamic examination topics in information mining.Affiliation Rule Mining is a space of information mining that spotlights on pruning up-and-comer keys.The FP-development calculation is presently probably the quickest ways to deal with continuous thing set mining.In this paper, we present a technique for mining affiliation rules utilizing FP-development calculation in enormous data sets of deals exchanges.We carry out the FP-development calculation for discovering solid affiliation rules utilizing Supermarket information, which was taken from UCI Machine Repository information.Exploratory outcomes show that this calculation can find incessant itemsets and successfully mine solid affiliation rules.
SISTEM PAKAR DIAGNOSA PENYAKIT PADA GRAVIDA (WANITA HAMIL) MENGGUNAKAN FORWARD CHAINING

Currently, the mortality rate for pregnant women is quite high, this is due to the health problems they usually experience, be it health problems in the fetus or health problems in the pregnant woman herself. Therefore, the authors conducted research to be able to design and apply an expert system that can diagnose what type of disease a gravida (pregnant woman) is suffering from and can provide information on how to handle or treat it by paying attention to the rules and methods used, as well as providing information about the disease. which is common in pregnant women. Input from the application is in the form of disease data, symptom data, solution data, patient data, and knowledge data. The resulting output is the result of disease diagnosis in gravida (pregnant women). The author builds an expert system application to diagnose disease in gravida (pregnant women) using the Microsoft Visual Basic 6.0 programming language with database storage using phpMyAdmin. With the application of this expert system, it can help the performance of medical experts, especially in the H. Abdul Manap Hospital, Jambi City and gravida (pregnant women) so that they can find out the early symptoms of the disease they are suffering, so that they get immediate treatment.
School-based curriculum construction-an important way to build digital learning resources

Based on the perspective of learning-oriented social construction, this paper points out that learning-oriented social construction needs the change of learning mode, and digital learning is a new way of learning adapted to the requirements of this era, it can truly realize everyone, time and place to learn.A prerequisite for digital learning is to have digital learning resources, the current majority of primary and secondary schools in the basic education curriculum reform in the development of school-based curriculum, after appropriate adaptation, can become an important curriculum resources in digital learning.Primary and secondary schools' school-based curriculum has other digital learning resources incomparable advantages, it has the advantages of norms, systems, easy to accept, easy to spread, etc, for promoting primary and secondary schools' school-based curriculum become digital learning curriculum, we should select the curriculum appropriately, edit it scientifically, and attach great importance to curriculum implementation assessment and update.
Fenomena Tumpeng Kering Ready Stock Dalam Sistem Upakara Hindu Di Bali

Hinduism with all its uniqueness basically cannot be separated from acara as a part of the Tri Framework for Hindu Religion, as well as the use of ceremonial facilities as a medium to get closer to the Creator. One of the means of upakara that is often found in Hindu religious practice is the use of tumpeng. Tumpeng is one of the upakara ingredients in the shape of a cone made from rice. The higher the human mobility, the less time that can be devoted to the preparation of religious events. Things like this are ultimately used as business land. Like the current phenomenon, it is common to find the use of dried tumpeng in the manufacture of upakara. This type of tumpeng is usually very easy to find in the market and some are even traded online at very affordable prices. Apart from being cheap, the tumpeng dries up a solution for Hindus who do not have enough time to make this upakara. Keywords: Tumpeng, Upakara, Hindu, Bali
A Survey on Student Proctoring System

The online Student Proctoring System is designed to provide Rich UI driven components, a user interface for the maintenance of all the records of the student throughout college life. It is used by the universities to maintain the scholastic records of the students easily. The creation and management of accurate, updated information regarding a student's academic career are critically important in the university as well as colleges. The Student information system deals with all kinds of student details, alumni student data, college details, course details, batch details, placement details, and workshop attended other resource-related details too. College students will be able to access his/her portal by logging into his/her account. Staff/student portal is also used to provide information about the college, special events, course details, calendars, academic resources, and contact material.
THE EFFECT OF WORD WALL MEDIA ON STUDENTS’ VOCABULARY MASTERY

This study aims to determine whether there is significant effect of word wall media on students’ vocabulary mastery. The purpose of this study was get empirically evidence about effectiveness of word wall strategy on students’ vocabulary mastery at the eight grade of SMP Swasta BinaSatria and to find out the effect size of word wall strategy on students’ vocabulary mastery. This research using experiment research with a quantitative method. By purposive sampling, the researcher took samples. The sample of study is 60 students, which are 30 students as experimental class and 30 students as control class. The method use in this study was a quantitative method in collecting the data, the researcher be held pre-test and post-test which suddenly stand of 30 multiple choice stuff for each test. In analyzing the data, the researcher used t-test. The researcher used SPSS 16 for calculation in this study. The result of the study was found that post-test mean score of control class was 81,67while post-test mean score of experimental class was 84.26. It was also obtained that two tailed 0,003 ≤ 0,050. It showed that the Ha was accepted and H0 was rejected. Based on the criteria of the test, the result showed that there is a significant contrast between the students’ vocabulary mastery through word wall strategy and without word wall strategy. It can be summarize that word wall strategy is effective on the students’ vocabulary mastery in the eight grade of SMP Swasta Bina Satria Medan. The Strategy has effect on the students’ vocabulary mastery in the eight grade of SMP Swasta Bina Satria.
IMPROVING STUDENTS’ READING COMPREHENSION ACHIEVEMENT BY USING THE POWER OF TWO STRATEGY AT SMPS 17 IN 1 GEDONGTATAAN

The research aims to improve students’ reading comprehension through The Power of Two Strategy. The research did at SMP 17,1 Gedongtataan. The populations 18 students there are about 11 male and 7 female. The method used in this research is action research there are two cycles are used, it consists of four steps such as; planning, action, observing, and reflecting.  In this research, the collecting of data technique is used observation sheet and post-test. There were two kinds of data, quantitative and qualitative. The qualitative data were obtained by using the observation sheet students’ learning activities. For the result of the research, it could be seen from the average score in cycle 1 and cycle 2. The mean score of learning activities in cycle 1 was 73,7 and cycle 2 was 76. The improvement of the students’ learning activities influencing the students’ reading comprehension, it could be seen from the result of cycle 1 was 50% and increased to 83, 3% in the second cycle. From the result of analysing the data, it could be said that the Classroom Action Research by using The Power of Two Strategy can improve the students’ learning activities and the students’ reading comprehension.
The EFFECT OF COOPERATIVE PROJECT BASED ONLINE LEARNING ON STUDENTS’ SPEAKING SKILL

ABSTRACTProject-based learning is a teaching model that organizes learning based on projects. The benefits of project-based learning in students include motivation, language skills, ability to function in groups, learning content, confidence, autonomy, and decision-making abilities. The inspiration driving this assessment was to investigate the impacts of the utilization of cooperative project based online learning on students’ speaking skill. The study was conducted at MTs. Mambaus Sholihin Gresik in class VII R. To know whether Cooperative project based online learning is effective, the researcher utilized a pre-experimental method in which the information calculated by a statistical formula of t-test. Pre-test that given to the students before applying cooperative- project based online learning. The students were evaluated their speaking skills in three  aspects ( grammar, vocabulary, and comprehension). Post test was held after applying cooperative-project based online learning were conducted in the class. The consequence of the exploration is the mean of the pre-test was 53.7143 , and the mean of the post-test was 84.1429.
Inclusion, Engagement, and Nearpod: Providing a Digital Alternative to Traditional Instruction

Unfortunately, the onset of Covid-19 and the ensuing pandemic led to a shift in the structure of classrooms across all levels of the educational spectrum. The resulting move to more social distancing methods, including a combination of face-to-face and online formats, led to a need for innovative uses of technology. In this article, Nearpod is explored as an alternative way to present information while increasing engagement and inclusivity in the classroom. Research studies and reviews are scrutinized on the use of Nearpod as tool for teachers and pre-service teachers in K-12.
Metaphysics of cinema art

The author of the article explores cinema art as a kind of worldview model, based on the tragic myth of Aristotle. The well-known doctrine of tragedy is the part of the doctrine of tragic myth. Both tragedy and drama strive for catharsis, that is, to purify and heal the soul. The discussion of drama as a spiritual teaching becomes extremely relevant in this regard. The hero of the drama (wider than a movie with a dramatic plot) goes on a journey to meet his eternal "I", and, therefore, to become himself. The hero may fail, but there is no other purpose for the journey or initiation.
Improved Harris Hawks optimization algorithm with multiple strategies

In order to solve the problems of the basic Harris hawks optimization (HHO) that are easy to fall into local optimization and low convergence accuracy, a multi-strategy optimization Harris hawks optimization (MHHO) is proposed.In the exploration stage, the Cauchy distribution function is introduced to mutate the global position which increases population diversity.In the transition stage, the random contraction exponential function is used to nonlinear the energy equation in order to coordinate global exploration and local mining effectively.In the mining stage, the adaptiveweight factor updates the local position and elevates the local mining capacity.By solving multiple single peak, multi peak and high-dimensional test functions, the results show that the MHHO algorithm combining the three strategies has better optimization accuracy and stability.
Automating Data Science: Prospects and Challenges

Given the complexity of typical data science projects and the associated demand for human expertise, automation has the potential to transform the data science process. Key insights: * Automation in data science aims to facilitate and transform the work of data scientists, not to replace them. * Important parts of data science are already being automated, especially in the modeling stages, where techniques such as automated machine learning (AutoML) are gaining traction. * Other aspects are harder to automate, not only because of technological challenges, but because open-ended and context-dependent tasks require human interaction.
THE READABILITY LEVEL OF READING TEXTS IN THE ENGLISH TEXTBOOK ENTITLED WHEN ENGLISH RINGS A BELL FOR THE SEVENTH GRADE JUNIOR HIGH SCHOOL

The purpose of this research is to find out the readability level of the revised version of the English textbook titled “When English Rings a Bell in Junior High School”, the aim of doing this research is to make sure the reading texts are appropriate for the student’s level of reading. In this study, students have a problem to comprehend the text well. This study use quantitative approach as the research design in this study. The data was collected using Flesch’s Reading Ease Formula. The results of the research shows that 2 texts selected from 15 texts are appropriate for the Seventh Grade of Junior High School at a “Fairly Easy” Level. There are 6 texts suitable for the fifth grade students, 4 texts suitable for sixth grade students, 3 texts suitable for eight grade students and only two reading texts appropriate for the seventh grade of Junior High School.
IOT BASED SMART REMOTE PATIENT MONITORING SYSTEM

Many lives are lost every day in India because patients are not treated in a timely and proper manner. In addition, in clinics and hospitals, parameter values are not accurately calculated in real time. It can be difficult for hospital staff to keep track of patients' conditions on a regular basis. In addition, ICU patients cannot be monitored continuously. Our framework is useful in dealing with these types of circumstances. Our device is intended for use in hospitals as well as in home to measure a variety of parameters such as temperature, ECG, and heart rate and humidity. All these operations are performed with the help of a microcontroller Arduino Uno R3, also the data are stored in a host server namely ‘Thingspeak’, with the help of Wi-Fi module, so the doctors or the consent person keep an eye on the patient continuously.
ФОРМИРОВАНИЕ ИНДИВИДУАЛЬНОГО СТИЛЯ УЧЕНИЯ СТУДЕНТОВ СОВРЕМЕННОГО ВУЗА

The individualization of the educational process in a modern university is possible not only with the help of different teaching methods and forms of its organization. Nowadays, learning strategies and techniques are being actively developed and students need to master them in order to organize and evaluate their learning activity effectively, as well as to manage it. The ability to use learning strategies will help to form students’ individual learning style.
Impact of Newspaper Articles in Enhancing Vocabulary Acquisition among Students

The inability of students in the second cycle institutions to acquire and use appropriate vocabulary is the problem of many schools, and Berekum Senior High School is not an exception. The school’s results reflect the poor language standard in the school. Initial observations reveal that inadequate vocabulary on the part of students results in poor expression. Therefore, students find it difficult to use appropriate words in the application of the English Language. Data was collected through the use of interviews, questionnaires, and observation. The findings collected revealed that pupils find it difficult to understand the teaching and learning materials used in reading. This gradually retards their reading competency at the kindergarten up to the primary school level. Results were analyzed and discussed empirically.
HOW THE LOCKDOWN CAUSED BY COVID-19 AFFECTED STUDENTS AND TEACHERS AT A PUBLIC UNIVERSITY IN MÉXICO. AN INITIAL SURVEY

HOW THE LOCKDOWN CAUSED BY COVID-19 AFFECTED STUDENTS AND TEACHERS AT A PUBLIC UNIVERSITY IN MÉXICO. AN INITIAL SURVEY
A Bayesian Nonparametric Conditional Two-sample Test with an Application to Local Causal Discovery

For a continuous random variable $Z$, testing conditional independence $X\indep Y|Z$ is known to be a particularly hard problem. It constitutes a key ingredient of many constraint-based causal discovery algorithms. These algorithms are often applied to datasets containing binary variables, which indicate the â€˜contextâ€™ of the observations, e.g. a control or treatment group within an experiment. In these settings, conditional independence testing with $X$ or $Y$ binary (and the other continuous) is paramount to the performance of the causal discovery algorithm. To our knowledge no nonparametric â€˜mixedâ€™ conditional independence test currently exists, and in practice tests that assume all variables to be continuous are used instead. In this paper we aim to fill this gap, as we combine elements of Holmes et al. (2015) and Teymur and Filippi (2020) to propose a novel Bayesian nonparametric conditional two-sample test. Applied to the Local Causal Discovery algorithm, we investigate its performance on both synthetic and real-world data, and compare with state-of-the-art conditional independence tests.