Reviewerly/exHarmony huggingface dataset:
SISTEM INFORMASI PADA MTS DARUL DA'WAH WAL IRSYAD KOTA HARAPAN KEC. MUARA SABAK TIMUR BERBASIS WEB

Along with the development of information technology makes the computer at this time as a tool to obtain information. Therefore, with the development of this technological advancement, MTs DDI Kota Harapan needs to promote itself through an online website on the internet. research with the title "INFORMATION SYSTEM AT MTS DARUL DA'WAH WAL IRSYAD KOTA HARAPAN KEC. MUARA SABAK TIMUR WEB-BASED". formulation of the problem "How to design a web-based school information system at MTs DDI Kota Harapan using the PHP and MYSQL programming languages". The purpose of this study is to produce a school website information system design at MTs DDI Kota Harapan, to design a school information system that can be accessed easily without being limited by time and distance. This study uses a descriptive analysis approach. The data collection techniques used are observation and interviews. The research approach used is descriptive analysis approach. The theoretical basis used is secondary data, namely data that has been collected. The results of this study are the design of this website using the PHP programming language, MYSql database, CodeIgniter Framework and using Visual Studio Code and Wamp Server tools, this web-based information system is an information medium for MTs Darul Da'wah Wal Irsyad Kota Harapan.
Ethnic References in Branding and AI Content Moderation: From the Ajax 'Jews' to the Washington Redskins and Beyond

Sports teams sometimes adopt names — and fans sometimes adopt team nicknames — that might be viewed as derogatory epithets targeting a particular racial, ethnic, or religious group, but which serve as a badge of honor for team fans or even for members of the targeted group. How does and should trademark law address such uses, particular uses of derogatory epithets that are “reclaimed” as badges of honor by a minority group? How do AI content moderation tools account for social media user postings that feature hate speech or reclaimed epithets, whether as sport team names or otherwise? And, to put those questions into their broader framework: how is regulation, whether through formal law or AI, to account for semiotic fluidity, the variable meaning of words over different temporal, spatial, and social contexts?My essay is inspired by the Ajax “Jews”, a phenomenon I learned of when Bernt Hugenholtz told me about it some 25 years ago.
Implementing the School Management System through the Application in SDN 17 Rantau Utara

The rapid development of information technology is a very important role in supporting educational institutions at SDN 17 Rantau Utara where the purpose of this research is to create an application system that can help schools in management. This study uses the faterfall method, the application system that has been created is used to store data related to schools, teachers, staff, students. The results of the research at SDN 17 Rantau Utara are expected to be able to improve the quality of application-based school management.
Pelatihan Ultanum Sebagai Media Pembelajaran Matematika di Sekolah Dasar

The purpose of the community service program is to provide online learning model training in mathematics subjects using the numeracy snake and ladder game application at SDN Susukan 04. This community service utilizes Android as a learning medium in elementary mathematics numeracy with the aim of honing students' numeracy literacy. The data from this service were obtained through interviews with the homeroom teacher who became the main source, observations in the form of passive participation observations and documentation as supporting data from the results of the interviews. The results of the service show that teachers have used ultanum media as a learning medium in supporting online learning activities for mathematics subjects to be able to hone students' numeracy literacy. The implementation of the use of ultanum media as a learning medium has several obstacles, namely signal interference, the level of mathematical literacy is still at levels 1-3, but the benefits obtained from this service include being able to hone the ability of teachers to develop numeracy skills at levels 1-3, problem solving skill in doing mathematics learning with ultanum games and honing their skills in numeracy literacy.
Startup Digital Sebagai Proyek Kolaboratif Tugas Akhir Mahasiswa Teknik Informatika

Collaboration is an important 21st century skill. Also, the fastest way to build a student entrepreneurial ecosystem is to create an industrial world within the campus itself. Campus, apart from being an educational institution, can also be a place to collaborate for the growth of digital startups. This paper is a conceptual study that aims to build a final project flow for informatics students. Focusing on digital startup development. Design thinking was adopted into the flow of student final projects to produce the digital startup. This project because it is done in a team will create collaboration between students
K-Nearest Neighbour Algorithm

The k-Nearest Neighbor (kNN) rule is a classical non-parametric classification algorithm in pattern recognition, and has been widely used in many fields due to its simplicity, effectiveness and intuitiveness. However, the classification performance of the kNN algorithm suffers from the choice of a fixed and single value of k for all queries in the search stage and the use of simple majority voting rule in the decision stage.
Social dimension of modern higher school teachers` personality

This research deals with an important state and public problem concerning the expertise of higher school teachers; according to the authors, the latter is determined by their formation level of the social dimension of personality. In the paper, issues are discussed touching on the essence and content of the social dimension of personality in relation to teachers of modern higher educational institutions in their professional activity. The paper covers requirements set for teachers of modern higher educational institutions, problems, and controversies preventing Russian higher school from developing efficiently, etc. The objective of the research consisted in providing grounds for the necessity of making the focus area associated with the formation and development of higher school teachers' social dimension relevant within the Russian education system (in terms of theory and practice). Conceptual statements on the development of consciousness and worldview of higher educational institution teachers within their professional activity are substantiated. Similarly, so are provisions on adoption, acceptance, and inclusion of meanings and values of the Russian culture into the educational process, as well as on the teachers' understanding their state and public mission as serving their Motherland.
A Comparative Export Prediction Study of Korea and Japan Using Semi-parametric Panel Neural network

Purpose : To compare the predictability of gravity model based on panel data, the two methodologies are used and compared. One comes from the traditional panel individual fixed effects and the alternative methodology comes from semi-parametric panel neural network. Research design, data, methodology : The exporting cases of Korea and Japan, for 30 years of data with 247 countries of export partners, were analyzed. Two scenarios dividing the learning period into 20 years with 10 years’ prediction period and the 25 year learning period with 5 years’ prediction periods are performed and compared. Results : The semi-parametric panel artificial neural network outperformed than the traditional panel fixed effect method in 7 out of 8 cases in terms of MSE. Conclusions : The results showed the superiority of semi-parametric neural networks in the analysis and forecasting based on panel data compared to traditional fixed effect panel analysis.
Bigger than they appear: Electronic architecture in recording studios

A significant concern for recording in acoustically small spaces is that they often sound zingy, splashy, fluttery or resonant, or (with attempts at treatment) small, choked, dry, and lifeless. Either of these extremes is not conducive to a good recording experience for the performer or the recording engineer. At the same time, variable acoustics has been an elusive goal in small spaces. Passive solutions are generally ineffective, since one’s perception of a small room’s acoustical character is driven primarily by the room volume and the mean free path. Technological advancements in electronic architecture, and specific adaptations of that technology to the challenges of deploying it in small spaces, have made it an affordable application for recording studios. When combined with appropriate natural acoustics, this approach can achieve acoustical results not possible by treatments alone. The apparent volume, surface treatments, and resulting reverberant energy can be modified in real time beyond the constraints of the physical space, both for what the performer experiences within the space, and for what the engineer can capture in a recording. The essential considerations for using electronic architecture in a recording studio are illustrated using examples from recent projects.
Intrinsic Leaking in a Domain-Wall Magnetic Tunnel Junction Neuron.

show that edgy-relaxed behavior improves both classification accuracy and classification rate for ordered datasets while sacrificing little to no accuracy for a randomized dataset. This letter establishes methods by which artificial spintronic neurons can be flexibly adapted to datasets.
Reading intervention : promoting late elementary students’ reading comprehension, motivation and strategy use

Many late elementary students still struggle with reading comprehension, a key competence in our information society (Rasinski, 2017). Moreover, the society is becoming increasingly diverse as well as the student needs (Tenenbaum et al., 2017). Within this context, educational researchers increasingly focus on response-to-intervention (RTI) research (e.g., Jimerson et al., 2016). RTI research aims to meet a diverse range of student needs by implementing multitiered interventions. The first tier of RTI (i.e., high-quality whole classroom instruction) is regarded as the most important level (Swanson et al., 2017). However, most RTI studies report tier 2 or tier 3 interventions instead of tier 1 interventions (e.g., Wanzek et al., 2015).Therefore, this study examines the effect of a tier 1 intervention on fifth- and sixth-graders’ (a) reading comprehension, (b) reading motivation and (c) strategy use. The intervention contains four evidence-based teaching practices (i.e., strategy instruction, reading motivation promotion, peer-mediated instruction and differentiated instruction). Second, this study pays specific attention to the participating struggling students (i.e., poor readers or students with learning disabilities).A clustered-randomized controlled trial with repeated measures design (i.e., pre- and posttest) at school level is conducted from December 2020 till March 2021. Based on the pretest data, 459 students participated, divided into a control (n = 230) and intervention (n = 229) condition (46.2% girls; 53.8% boys; 57.7% fifth-graders; 42.3% sixth-graders). Multilevel analyses will be used to analyze the results.The presentation will discuss the analyses in detail as well as the implications for practice and further RTI research.
Application of structured illumination microscopy in fast and accurate measurement of complex-surface and steep-edge

With the wide application of micro-nano structures in various fields, micro-nano technology has been developed continuously. Among them, micro-nano surface morphology detection technology has become a research hotspot, because the surface geometry and morphology of micro-nano devices determine the functional level and service life of devices. With the increasing complexity of micro nano device surface morphology and the increasing sharp edges, the detection technologies are facing severe challenges. Among various detection methods, structured illumination microscopy (SIM) has attracted many research interests due to the characteristics of high accuracy, strong adaptability and high efficiency. The existing SIM are mainly based on phase-shift technique, Hilbert transform technique and global Fourier transform technique. However, for complex-surface and steep-edge measurements, it is difficult for traditional SIM to achieve both high accuracy and high efficiency. In this paper, a method based on SIM which combines vertical scan and phase-shift is proposed. In this proposed measurement system, vertical scanning of the object is synchronized with the switching of the phase-shifted fringe pattern and only one fringe pattern needs to be projected, which enables a point-to-point processing defined as local Fourier transform method in this paper to be utilized to extract the modulation information which will reserve high-frequency information of the image so it can be applied to both smooth and rough surfaces. Simulation and experiment are carried out to demonstrate that the proposed method can successfully realize fast and accurate detection of complex-surface and steep-edge.
Event Representation and Research on Formalizing Representation Model Based on Ontology

Based on the knowledge graph to describe the process knowledge, there are deficiencies. Based on the theoretical basis of the knowledge graph and the affair map, the author proposes a new ontology for the industrial Internet of Things field—the Internet of Things perception and control ontology to solve the large number of temporal and spatial characteristics and states in domain knowledge. Semantic modeling of the X-ray single crystal diffractometer using t the Internet of Things (IoT)perception and control ontology(IoT-PCO) to describe its automatic operation mechanism. The research results show that the ontology can effectively solve the problem of semantic representation of perception and control data, and provide support for complex semantic flow processing driven by affair knowledge.
The Application of Acceleration-Level Quaternion Interpolation in the Visual-Servoing Process.

Visual servoing process is widely applied in robot control. In the visual servoing process, an interpolation of the robot end pose is necessary. In the interpolation, quaternion suffers a lot for the discontinuity in trajectory velocity and acceleration. In this paper, we propose an acceleration-level continuous interpolation method and apply it to visual servoing process. In the method, we make up use of the conversion between different rotation descriptors and achieve a smooth enough trajectory. Simulations and experiments are carried out to validate the method and the results show considerable performance.
Infiltration and Utilization of Folk Music Resources in Music Education in Kindergarten under the Background of "Internet Plus"

The universal application of Internet technology enables music education resources for children to be more abundant, which provides good conditions for children in music teaching activities. Folk music resources are the foundation of traditional music in China. Infiltrating folk music into music education in kindergartens can cultivate their sentiments of love for labor, hometown and motherland, and enhance their sense of belonging and identity to national culture. Based on the simple introduction of the application necessity of information technology in kindergarten music education and the infiltration principle of ethnic music resources in kindergarten music education under the background of "Internet +", this paper makes a detailed discussion on the infiltration strategy of folk music resources in music education in kindergarten under the background of "Internet +".
Mitigation Techniques to Overcome Data Harm in Model Building for ML

Given the impact of Machine Learning (ML) on individuals and the society, understanding how harm might be occur throughout the ML life cycle becomes critical more than ever. By offering a framework to determine distinct potential sources of downstream harm in ML pipeline, the paper demonstrates the importance of choices throughout distinct phases of data collection, development, and deployment that extend far beyond just model training. Relevant mitigation techniques are also suggested for being used instead of merely relying on generic notions of what counts as fairness.
ПРИРОДНЫЕ И ТЕХНОГЕННЫЕ ОСОБЕННОСТИ ЗАГРЯЗНЕНИЯ ПРИРОДНЫХ ВОД МЫШЬЯКОМ

The problem of arsenic in drinking water, which causes a violation of human health, is revealed. The main ways of arsenic ingress from the lithosphere into drinking water are shown. In the earth's crust, arsenic is contained in rocky rocks, from where it under the influence of weathering processes passes into sedimentary rocks, alluvium and silts. When underground water passes through a section of the earth's crust containing arsenic in the form of its minerals, the water is saturated with arsenic. Chemical reactions of arsenic transition to easily soluble forms and its main compounds in natural waters are presented. The mechanism of arsenic migration in natural surface and underground waters is explained. In Bangladesh, about 60 million people use arsenic-contaminated groundwater as drinking water and are therefore at risk of poisoning. Detailed map of the world on the risk of arsenic contamination of natural fresh water. It is shown that in Kazakhstan there are numerous geogenic deposits and ore occurrences of arsenic, which naturally infect groundwater. The West Kalba ore belt, which is about 800 km long and 80-100 km wide, has been identified only within Eastern Kazakhstan, and its ore objects are represented by goldarsenopyrite (with an arsenic content of up to 2-5 %) ores. In addition, Kazakhstan has a significant technogenic component of arsenic water pollution due to the influence of the mining industry: only in the dumps of the Ust-Kamenogorsk metallurgical plant, more than 300 thousand tons of arsenic mineral products have already accumulated, with an annual increase of 11 thousand tons. The method of disposal of such waste, as well as localization of arsenic from underground polluted waters on technogenic geochemical barriers, is described.
THE EFFECTIVENESS OF USING SCAFFOLDING TECHNIQUE ON THE STUDENTS WRITING RECOUNT TEXT ACHIEVEMENT OF THE FIRST GRADE AT ISLAMIC SENIOR HIGH SCHOOL 3 TULUNGAGUNG

ABSTRACKIrfani, Mohammad Wahid. Student Registered Number. 17203153117. 2019. The Effectiveness of Using Scaffolding Technique on The Students Writing Recount Text Achievement of The First Grade at Islamic Senior High School 3 Tulungagung. Thesis. English Education Department. Faculty of Tarbiyah and Teacher Training. State Islamic Institute (IAIN) Tulungagung. Advisor : Faizatul Istiqomah, M. Ed.Keywords : Writing, Scaffolding Technique, Recount Text.There are problems faced by students in writing. Students are frustrated and bored when they do not understand what they want to write. The interesting technique is needed to teach writing them. There are so many techniques that used by teacher to teach writing. One of them is scaffolding. Scaffolding techniques is a technique in writing that give any help to students. The teacher can give their students any motivation, clue, suggesstion or etc. Giving any help to students not only can be done by teacher but also by someone that has or may can help them and also friends that have higher ability. In scaffolding technique the teacher give some help to students, actually the teacher could help the students to work by gives them a short explain and action about the material when the students do their task. This study is to investigate the effectiveness of using scaffolding technique on writing recount text achivement at first grade of Islamic Senior High School 3 TulungagungThe research problem of this study : Is scaffolding technique effective for teaching writing recount text at First grade of islamic senior high school 3 Tulungagung? Based on the research problem above, a purpose of this study to know whether the used of scaffolding technique is effective in teaching writing of recount text or not. This research used quasi experimental research with quantitative approach. The population was all the students of the first grade that consist of 222 students. The researcher took of the first grade IIA-1 and IIA-2 class as the sample. The instrument of this research used testwriting (pre-test and post-test). Data analysis of this research was using Independent Samples T test with SPSS 16.00.The result of this test, tcount was (5.867) and ttable was (2.008). By comparing the “t” was tcount > ttable known that (5.867 > 2.008). Based on the result above, the alternative hypothesis (Ha) that state is significant difference of students’ Writing recount text by using scaffolding technique is accepted, while the null hypothesis (Ho) that states there is no significant difference of students’ Writing recount text by using scaffolding technique is rejected. Finally, it can be concluded that Scafffolding technique is effective to teach Writing especially Recount text at First Grade of Islamic Senior High School 3 Tulungagung.
Detecting Currency Notes For Visually Challenged People Using Machine Learning

In the current world of cheating and other frauds, people find it very difficult to lead their lives. The same is even worse in the case of Blind or visually challenged. They face many more challenges in their daily life, especially while dealing with currency and other money related issues. In order to help blind people, we are developing a project that helps them identify the denomination of the currency, as there is no brail mark on the currency note. Counterfeit note or fake note is another difficult task to identify, for both healthy and blind person. So, in addition to it we are incorporating fake note detection system, which helps every citizen from verge of being cheated.
Information Society Development Trends: Philosophical Analysis of Basic Concepts

Philosophical analysis of the basic concepts of the information society involves the disclosure of its essence, understanding the roles and meanings of general information flows, in which a person is included as a part of nature and an element of the universe, determines promising directions. Moreover, each concept has its own approach to the study of the information society and, ultimately, considers its individual aspects using its own research methods.
An Efficient Content Based Image Retrieval System and Various Methods

Content based image retrieval is an active research issue that had been famous from 1990s till present. The main target of CBIR is to get accurate results with lower computational time. This paper discusses on the comparative method used in color histogram based on two major methods used frequently in CBIR which are; normal color histogram using GLCM, and color histogram using K Means. A set of 9960 images are used to test the accuracy and the precision of each methods. Using Euclidean distance, similarity between queried image and the candidate images are calculated. Experiment results shows that color histogram with K-Means method had high accuracy and precise compared to GLCM. Future work will be made to add more features that are famous in CBIR which are texture, color, and shape features in order to get better results.