Reviewerly/exHarmony huggingface dataset:
The Ability in Understanding Simple Future Tense at Tenth Grade Students of Senior High School 3 Jambi City

The ability of students to understand the learning material is important. When students are able to understand the material given by the teacher, then they can apply the knowledge theoretically or in action. A simple way to check students' understanding or ability is through written assessments and student skills. This research was appointed to find out how far the students' ability in understanding grammar, in this case is the Simple Future Tense. This study uses quantitative as a research design and descriptive as research methodology. This study took a population of tenth graders at SMA 3 Jambi City in the 2021/2022 academic year and the sample was students in class X MIPA 6 in the 2021/2022 academic year. This study uses a test given to the respondents as a research instrument, then the results of the test are assessed and analyzed. The average value of the test obtained is 56.27. On the other hand, the value of the standard deviation obtained is 33.017. As a result, 11 respondents from the sample received the predicate "very good". 9 respondents received the “poor” predicate, followed by 5 respondents received the “very poor” predicate. 3 respondents received the predicate "good" and 2 respondents received the predicate "moderate". However, it should be noted that many errors occurred in the second part of the test where many of the respondents made a mistake in arranging one complete sentence with a percentage of 57.78% incorrect answers. This is inversely proportional to the test in the multiple-choice section, where the percentage of correct answers reaches 77.33%. In addition, although 11 respondents received a very good predicate, the collective average value shown is not a satisfactory result and is still categorized as "moderate". The difference between the mean and standard deviation shows that the data obtained are heterogeneous with most of them being below the sample mean.
An Analysis of Students’ Problems on Reading Comprehension in Online Learning at the Ninth Grade Students of Junior High School 2 Jambi City

This research was aimed to find out the student problems on online learning in reading comprehension. This research took this title to find out what are the problems of students in reading comprehension on online learning. The setting of the research was in Junior High School 2 and the subject of the research was the Ninth Grade Students. The problems in reading online that there are five aspects of reading comprehension were determining main idea, making inference, identifying reference, finding specific information, and the understanding meaning of words or vocabulary. The research methodology of This research was a qualitative phenomenological approach research which involve purposive sampling. The total of respondents who researched this was twenty-two ninth grade of students. The results of the study explained that most of the ninth grade students had problems answering the test questions that had been given. The result is that only a few students understand the comprehension after they read about it. The cause of student problems in online learning is the lack of understanding of the meaning of the test so that they have problems in determining the information contained in a test. Lack of knowledge about vocabulary so that they have problems in learning reading comprehension.Keywords: Students’ Problems, Online Learning, Reading Comprehension.
Students’ Perception Toward Learning Vocabulary by Using U-Dictionary Application at the First Grade Students of SMAN 3 Jambi in Academic Year 2020/2021

The purpose of the research is to know how the students’ perception toward learning vocabulary by using U-Dictionary application at the first grade students of SMAN 3 Jambi. This research is uses qualitative as the design of this research. The setting of this research is located at Jl. Guru Mukhtar Kota Jambi. The subject of the research is students in X science 1 with the total number 30 students but it takes 6 students in purposive sampling. The instrument of this research is used interview. Data were collected by using interview and analyzed by using code technique. Based on the results of interview all of the students prefer to use U-Dictionary application to learn vocabulary than the printed dictionaries. The use of U-Dictionary application had positive and negative effect for students such as students are easier to understand and more practical, the students can learning English form unknown become know, U-Dictionary application added some new words, it can made the students’ refresh, it can be used anytime and anywhere and suitable for current digital era. While negative effect such as, the students felt annoyed by many advertisements that appear on the U-Dictionary application, the students felt that sometimes in the conversation feature the students’ voice are not detected, and the students felt that when their handphone battery runs out then they are automatically cannot use the U-Dictionary application. Finally, more students stated positive perception than negative perception.Key words: Students’ perception, Vocabulary, U-Dictionary application
Measuring value at risk of cryptocurrency using quantum harmonic oscillator

Cryptocurrency, also known as crypto is a type of digital currency that operates as an exchange mechanism over a computer network and is not supported or maintained by any governing authority.Compared to other equities and bonds, the price of crypto-currencies is highly volatile in nature.Its fluctuations are highly influenced by supply and demand, sentiments of investors and media hype.This paper introduces quantum harmonic oscillator model to measure the value at risk for the fix amount of investment to identify the maximum risk behaviour of cryptocurrency.
Lexical Errors Made by Instagram Machine Translation in Translating the Account of “CNN Indonesia” News Article

This study aims to depict the types of errors made by Instagram Machine Translation and to find out the most dominant types of lexical errors made by Instagram Machine Translation on ‘CNN Indonesia’ Instagram account. The design of this research was qualitative design. The data were in words, phrases, and sentences that contained lexical errors made by Instagram Machine Translation on the “CNNIndonesia” Instagram account. The data were taken by running an Instagram in one account of various captions related to the lexical errors of the study object. The data were collected through stages: finding out and determining, classifying, and separating the words, phrases, and sentences that contained lexical errors made Instagram Machine Translation on the “CNN Indonesia” Instagram account. The techniques of analysis data researcher translated the captions using Instagram machine translation and then the translation result is compared to the source language. The next step is to examine the lexical errors produced by Instagram machine translation. The research result shows that the types of lexical errors made by Instagram Machine Translation on the “CNN Indonesia” Instagram account based on the error categories theory by Vilar et al founds are: 4 missing errors, 10 incorrect words, and 8 unknown words. All errors indicated that Instagram machine translation could not represent the target language in the “CNN Indonesia” Instagram account. The users of Instagram need to filter every translation that is translated by Instagram machine translation before receiving it as information.
How Distance Learning Affected Students' Education in Kazakhstan during the Pandemic?

It has been three years from now when humanity has first experienced COVID-19 virus. No one expected the consequences of new disease, however, now it can be certainly claimed that the coronavirus had huge effect on peopleâ€™s life in different spheres. Those spheres included health, economics, social sphere, and one of the most heavily affected spheres was education. So, in this project work will be full information about this.
Perancangan Tata Kelola Teknologi Informasi Menggunakan COBIT 2019 Pada Dinas Perpustakaan Dan Kearsipan Kota Salatiga

Current technological developments play a very important role in organizations and companies, both profit and non-profit. Information technology has been widely implemented in organizations and companies to support or facilitate the activities of organizations and companies. With the development of information technology, the needs of organizations and companies in terms of governance are very important to achieve the vision and mission of the organization and company. The research was conducted using the COBIT 2019 framework for the design of information technology governance at the Salatiga City Library and Archives Service to be better in the future. Methods of collecting data by conducting interviews and observations to determine the current state of the organization at the Salatiga City Library and Archives Service in implementing the implementation of information technology. The approach and problem analysis were carried out to produce recommendations for the management of information technology at the Salatiga City Library and Archives Service. After conducting interviews and discussions with the Salatiga City Library and Archives Office, the incumbent wants the organization to be ready to face changes in the future. Which is related to one of the COBIT processes, namely BA105 Managed Organizational Change, this is very in line with the objectives of the office holders at the Salatiga City Library and Archives Service, which aims to assist organizations in preparing for changes that may occur in the future, especially in the field of information &amp; technology. With this research report, it is hoped that it can be used as a reference or reference for the Salatiga City Library and Archives Service to help improve organizational performance and make information governance better.
Pelatihan Penggunaan Software Anatest dalam Menganalisis Butir Soal Tes Ekonomi bagi Mahasiswa Calon Guru

The purpose of this service is to provide information, knowledge and skills to prospective teacher students regarding the effectiveness of using Anates to validate test instruments as a support for the implementation of learning evaluation in schools. The implementation methodology is designed in the form of a simple offline training involving prospective teacher students as participants, especially final year students who are or have participated in PPL activities or are preparing their final assignments at the Faculty of Tarbiyah and Teacher Training. Bringing in resource persons who are proficient in the field of learning evaluation is carried out for 1 (one) day by providing materials related to evaluating student learning outcomes and using Anates software in order to analyze test items. The results of the community service carried out were training on using Anatest software which had been carried out for prospective teacher students of the Economics Education Study Program at the Tarbiyah and Teacher Training Faculty of UIN Suska Riau, so of the 30 participants who took part in the training it was seen that 25 students or 83% were able to operate the anatest software correctly , while 5 students still need guidance in operating the anatest software because they are still wrong in operating the anatest software. As for the ability to analyze the items, of the 30 students who attended the training, 27 students or 90% were able to analyze the items correctly and 3 students still needed further guidance.
Language Choice in Bilingual School in SMP Hikmatul Fadhillah Medan

This study analyzes language choice, the cause and effects of language choice by students in SMP Hikmatul Fadhillah Medan. The research method used is qualitative method by giving questionnaire to get the results of the analysis. Language choice that used in SMP Hikmatul Fadhillah Medan is English. The data identified according to the theory of Dell Hymes, SPEAKING: setting, participant, end, key, instrumentalities and norm of interaction is the cause that can influence the language choice for every person. Based on the data analysis by Ralph Fasold Theory: The effects of language choice iscaused by the occurrence of language, social, and cultural contacts. The effects of language choice is 58,6% for bilingual/multilingual, 20,7% for social contacts (communication &amp; interaction), 13,8% for mix language and 6,9% for cultural contact (habit) . From the data 17 students choose bilingual/multilingual as the answer, 6 students choose social contact as the answer, 4 students choose mix language as the answer and 2 students choose cultural contact as the answer. The result taken from the 29 answered of the students in one class in grade VIII SMP Hikmatul Fadhillah Medan.
AI and block chain: a view from neuroscience

Simplifying neuroscientific information is fraught with the risk of making it false. The idea of using artificial intelligence capabilities in combination with block chain technology to recognize neuromyths and counter their proliferation is being considered.
Pedagogical design of higher education in the context of digital transformation and mixed forms of education: principles, problems, tools

The article is devoted to some issues of digital transformation of higher education during the pandemic and the transition to digital distance and mixed forms of education. The main concept of this article was pedagogical design. The basic principles of pedagogical design and teaching according to Robert M. Gagne are considered, their interpretation is given, some problems of applying these principles in the current situation are formulated, IT tools for implementation in the activities of the university are identified, a preliminary survey of a group of experts on these issues using the Delphi method is conducted.
Digital transformation of higher education in the Russian Federation: legal framework, terminology, problems and solutions

The article is devoted to the issues of digital transformation of higher education during a pandemic and the transition to digital distance and mixed forms of education. The regulatory and legal framework for training in such formats is considered, the terminology is given. The practical part of the article contains the results of a survey of a group of experts on the issue of problems encountered by teachers when switching to these forms of education.
Rooster Colony Algorithm: A two-step Multi-Swarm Optimization Approach

Particle Swarm Optimization is a metaheuristic optimization algorithm inspired by the collective behavior of animal swarms where a set of candidate solutions, called particles, are randomly initialized in the search space, and their movements are iteratively updated based on their individual best solutions and the global best solution found by the swarm. This paper proposes a Multi-Swarm rooster colony algorithm (RCA) that considers a set of roosters, each owning a group of hens to compose a team. Each team (rooster and its hens) competes for the resource (food) with the other teams. From the combinatorial optimization point of view, each team analyzes part of the search space by an independent PSO algorithm with the same objective function. The RCA algorithm concurrently executes all PSO algorithms with different inertial weights for exploring different regions and the best solution (Gbest) of each team will compose the initial population for a new further centralized PSO algorithm that will exploit the previous solutions to search for the optimal one. Thus, the proposed RCA is composed of two steps, based on exploration and exploitation strategies to find an optimized solution in the search space. The results show that the proposed algorithm is competitive in solving well-known optimization functions. The objective is to apply this technique to solving real-life scheduling problems.
ARTIFICIAL INTELLIGENCE TECHNIQUES AND DATA FUSER IN UAS SWARMS

This paper depicts the progress of an appliance of Artificial Intelligence (AI) for Unmanned Aerial System (UAS) swarms' control.This job was done as part of the conditions for lectures and labs in AI at the School of Robotics, and a beginning project platform for research projects at Xi'an Jiaotong-Liverpool University for a flexible, healthy, and intelligent unmanned aerial vehicles (UAV) mission control system.A method is outlined which allows a base level application for applying an artificial intelligence method, fuzzy logic, to aspects of control logic for UAVs swarms' flight.The benefits of using fuzzy logic for a movement planner were shown in this research: a small number of failures, near-optimal pathways, and low control attempts.It is these benefits that make it a nice tool for additional improvement.Some elements of UAV flight, automated direction, altitude is held, and prevention of dynamic obstacles, have been implemented and results analysis displayed.Certain potential clear future works that were not investigated in this study are motion-planning in three dimensions, prevention of dynamic obstacles, and more robust analysis.Current UAS, which are mostly established on wired links, are intricate, complex to road, heavy and more susceptible to damage as they should be.In this case the most existing and perspective UAS structures and their subsystems require periodic and scheduled inspection and maintenance functions.Hence, structural examining is vital, and it has a gigantic capacity to reduce the costs related to these processes.In this case the Kalman filter method is extremely helpful in the kinematic fusion procedure.Through extremely dynamic drone systems continuous in time, the Kalman method is mainly applied.In this part of paper, the author studies the notion of integrating the magnitude into the data-fusion, as update as filtering procedure and find a developed and superior evaluation of the state.Accordingly, data updates and state-propagation algorithms were used.Due to traditional inference methods for decision making or fusion, it does
Using Deep Learning to Detect Islamophobia on Reddit

&#x0D; &#x0D; &#x0D; Islamophobia, a negative predilection towards the Muslim community, is present on social media platforms. In addition to causing harm to victims, it also hurts the reputation of social media platforms that claim to provide a safe online environment for all users. The volume of social media content is impossible to be manually reviewed, thus, it is important to find automated solutions to combat hate speech on social media platforms. Machine learning approaches have been used in the literature as a way to automate hate speech detection. In this paper, we use deep learning techniques to detect Islamophobia over Reddit and topic modeling to analyze the content and reveal topics from comments identified as Islamophobic. Some topics we identified include the Islamic dress code, religious practices, marriage, and politics. To detect Islamophobia, we used deep learning models. The highest performance was achieved with BERTbase+CNN, with an F1-Score of 0.92.&#x0D; &#x0D; &#x0D;
ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance

ARCHIMEDES is a suite of algorithms for planning and task allocation to monitor and surveil a geometrically defined area with a group of heterogenous agents. We focus on maximizing the information gained over a fleet of such agents. The multi-step process allows for our force-based system to find a solution faster by generating reasonable starting points for agents. We present our proposed algorithms, compare them to the most relevant related work via a walkthrough discussion, and describe experimental results from ARCHIMEDES in many mathematically abstract scenarios.
Analysis of Langkolome River Flood, Wambona Village, Muna Regency (Case Study: Langkolome River, Wambona Village, Muna Regency)

Rivers are natural channels on the surface of the earth to drain water, apart from that, of course, interactions between discharges, other factors such as human activities along rivers give different characteristics of river formation. the largest portion comes from land clearing activities around the Langkolome river body located in Wambona Village, South Wakorumba District, Muna Regency. Based on the results of the calculation of the flood discharge of the Langkolome River in Wambona Village from 10 years of rainfall data, namely Q10 = 128,773 m3/sec, Q25 = 244,067 m3/sec. The capacity of the Langkolome river which has an impact on flooding Q = 158,063 m3/s. The maximum rainfall is greater than the capacity of the river, so this causes flooding in the Langkolome River, Wambona Village, Muna Regency
Perancangan Sistem Fungsi Arsitektur Tanaman Berbasis Website Interaktif

Plants have various functions for human life which are generally used as architectural functions. Information regarding this utilization can be obtained from various sources such as encyclopedias, journals, and with the development of the times, this information can also be found through a technology called a website. Currently there is no specific website that discusses the function of plant architecture and its care, so this research was conducted to produce a website that includes this information. This study uses the research and development method with a qualitative approach which aims to create a website with information that has been filtered first through a collection of plant data and their functions originating from the major of Landscape Architecture. The results of the research are in the form of website pages that can convey information on the architectural functions of plants simultaneously along with the characteristics of the plants
Penetration Testing Berbasis OWASP Testing Guide Versi 4.2 (Studi Kasus: X Website)

Government website is one of the strategies in e-government development, x agency follows this strategy by having a website with address x, along with these developments, cyber attacks through websites also increase, therefore it is necessary to carry out periodic testing and evaluation of websites with penetration testing. Penetration testing is the security testing for network or website to find vulnerabilities that could be exploited by attackers. This research is supported by the OWASP Testing Guide Framework Version 4.2 with 12 modules covering all aspects of security testing on websites. The results of the penetration testing is found vulnerabilities then be assessed for with CVSS Calculator 3.1 and given recommendations afterward. This research finds 32 vulnerabilities, 12 of that vulnerabilities have an impact on the website with 4 vulnerabilities that have a medium risk, 5 vulnerabilities that have a high risk and 2 vulnerabilities that have a critical risk.
Post-selection-free preparation of high-quality physical qubits

Rapidly improving gate fidelities for coherent operations mean that errors in state preparation and measurement (SPAM) may become a dominant source of error for fault-tolerant operation of quantum computers. This is particularly acute in superconducting systems, where tradeoffs in measurement fidelity and qubit lifetimes have limited overall performance. Fortunately, the essentially classical nature of preparation and measurement enables a wide variety of techniques for improving quality using auxiliary qubits combined with classical control and post-selection. In practice, however, post-selection greatly complicates the scheduling of processes such as syndrome extraction. Here we present a family of quantum circuits that prepare high-quality |0<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo fence="false" stretchy="false">&amp;#x27E9;</mml:mo></mml:math> states without post-selection, instead using CNOT and Toffoli gates to non-linearly permute the computational basis. We find meaningful performance enhancements when two-qubit gate fidelities errors go below 0.2%, and even better performance when native Toffoli gates are available.