Reviewerly/exHarmony huggingface dataset:
THE EFECT OF USING WEB TOON STORY AS TEACHING MATERIAL TOWARDS THE STUDENTS’ WRITING ABILITY

This paper reports a study on the effect of using web toon story towards students’ ability. The study was conducted at the second grade of SMK N 1 Gunung Pelindung, Lampung Timur. It used random sampling technique to select the sample. Pre-test and post-test were used as the research instrument to collect the data. In the quantitative method, the students as the subjects of participants were divided into two groups: experimental group (N=30) and control group (N=30). The data was analyzed by using t-test analysis showing that the experimental and control group mean scores in the pre-test were not significantly different. It can be seen that t-count was lower than t-table (0.229 &lt; 2.002) and the sig.2-tailed value is higher than sig. level (0.820 &gt; 0.05). Therefore, both experimental and control groups have the same level of writing ability before treatment. However, in the post-test, the mean score of experimental group is higher than control group. T-count is higher than t-table (10.706 &gt; 2.002) with the sig.2-tailed value is lower than sig. level (0.000 &lt; 0.005). Therefore, the null hypothesis (Ho) was rejected and the alternative (Ha) was accepted. It means that there was the effect of using web toon story as teaching material towards the students’ writing ability.
AMPLIFIER DESIGN FOR MODELING THE TRANSMISSION OF A DIGITAL VIDEO SIGNAL OVER A DATA TRANSMISSION CHANNEL

The use of video surveillance systems is used in the areas of security, law and order, in the territories of protected objects, in monitoring the movement of road vehicles and in other areas. The main disadvantage of a video surveillance system is its susceptibility to weather influences (rain, fog, snowfall, etc.), which degrades the quality of the video system by reducing the signal level. Therefore, the urgency of finding new ways and possibilities to improve the quality of video signals is one of the priority areas of signal processing. The main task of this work was to determine the main parameters, simulate the transmission line and amplifier, and select the schematic diagram of the transmitting and receiving path with the voltage and current ratings. Both the receiver and the cable video transmitter have different means of adjusting to different transmission line lengths. The signal at the output of each receiver should be in the range from 0.9 to 1.1 V, and the spread of the total ohmic resistance of the wires of the video transmission line at the input of the receiver should be no more than 2 – 3%. Based on these parameters, the equipment is configured for transmitting video over the channel. The magnitude of the mismatch is regulated by potentiometers, which allow smooth adjustment of the video transmission equipment [1]. As a rule, video transmission over the channel is carried out at a distance of 50 to 1500 m. If it is necessary to transmit video at distances less than 50 m, additional resistances are connected in series at the receiver input so that the total line resistance is 30 - 50 Ohm [1].
UMEC: Unified model and embedding compression for efficient recommendation systems

The recommendation system (RS) plays an important role in the content recommendation and retrieval scenarios. The core part of the system is the Ranking neural network, which is usually a bottleneck of whole system performance during online inference. In this work, we propose a unified model and embedding compression (UMEC) framework to hammer an efficient neural network-based recommendation system. Our framework jointly learns input feature selection and neural network compression together, and solve them as an end-to-end resource-constrained optimization problem using ADMM. Our method outperforms other baselines in terms of neural network Flops, sparse embedding feature size and the number of sparse embedding features. We evaluate our method on the public benchmark of DLRM, trained over the Kaggle Criteo dataset.
ONLINE ENGINEERING WORKSHOP

A new technique of distance learning of high school students in engineering disciplines in demand in modern experimental physics is presented. In the learning process, the student in practice solves a set of tasks that correspond to the real problems that arise when conducting modern physical research. For this purpose, an online engineering workshop was developed and implemented, including a modular type laboratory installation, with which it became possible to organize the implementation of various physical experiments using modern methods of a scientific experiment. Users can perform tasks remotely over the Internet, while simultaneously observing the actual process of the installation using a web camera, which provides a certain effect of presence.
Sexualbrott på distans – att vara eller inte vara en egen brottsrubricering

For a long time, it has been a certainty that sexual assaults are self-inflicted crimes. This matter, however, has begun to change. This has presented the possibility for Swedish courts to convict perpetrators of sexual offenses from a distance; that is, when the offense has occurred on the internet. The wording of the sixth chapter of the Penal Code makes this possible, if the act can be compared with intercourse in relation to the severity of the infringement. This judicial point of view is internationally unique. The crime of rape has changed and developed throughout history and has thus placed the legislature under pressure to counter the social changes with judicial ones. Due to this, the thesis aims to examine current law, clarify the concept of sexual offence from a distance and investigate a need for the offense to have its own classification of crime. To be able to do this, I have used historical, contemporary and future-based perspectives. It is clear that there are certain shortcomings in the application of law; perpetrators are able to avoid sentence if the assault does not meet the necessary prerequisites that a physical sexual offence must. This creates situations where the judiciary has to choose between a linguistically correct application of law, and victims of sexual offences from a distance. The thesis shows that there are clear reasons to reflect on whether physical sexual offenses and sexual offenses from a distance should be covered by the same legislation. On the other hand, there is a reluctance from the legislator to allow sexual offences from a distance to receive its own classification of crime, possibly in order not to dilute from the concept of rape. However, as the thesis states, it is not a question of title, but rather of legality and protection of one's sexual integrity and sexual self-determination; something that possibly could be ensured more satisfactory if sexual offenses from a distance were classified as its own offense.
AGI's Framework on Addressing Equity in the Geoscience Societies and the Challenge of Defining Success

&amp;lt;p&amp;gt;The American Geosciences Institute in cooperation with its member societies has developed the Framework for Addressing Racial and Ethnic Equity in Geosciences Professional Societies.&amp;amp;#160; The geoscience societies are a pivotal area to influence the culture of the geosciences, and in response to the events of June 2020, many societies determined they needed to directly act on the issue of equity in the geosciences. Being birthed from a federation of US-centric organizations, the Framework has clear US-aligned approaches and boundaries.&amp;amp;#160; However, the baseline proposed actions are fundamentally universal and meet the goal of the authoring committee to provide a framework from which we hope geoscience organizations of all types would use it to craft their own specific action plan and policies.&amp;amp;#160;&amp;amp;#160; A critical component of this framework for the committee was to ensure definable actions were included.&amp;amp;#160;&amp;amp;#160; Some of these suggested actions and their intended extensions will be discussed.&amp;amp;#160; Additionally, ongoing conversations among the societies, with the US National Academy of Sciences Board on Earth Science and Resources, and other science organizations have begun to examine what the path forward looks like.&amp;amp;#160;&amp;amp;#160; One area that AGI particularly is concerned about is the process of measuring progress.&amp;amp;#160;&amp;amp;#160; Understanding and recognizing the impacts of efforts like this is critical to ensure agile responses for success.&amp;amp;#160;&amp;amp;#160; But with AGI's intimate knowledge of much of the U.S. federal data, some of the ambiguities and definitional challenges within the US system complicates the ability to directly measure progress and for which further discussion of what success looks like is critically needed.&amp;amp;#160;&amp;amp;#160;&amp;lt;/p&amp;gt;
Sustainable Principles of Mobile Computing

Mobile Computing is the advanced and developing computer application that allows voice and video transmission in the form of data through computer or wireless devices without any further linking. Mobile computing has three aspects: mobile communication, mobile hardware, and mobile software. Modern way of mobile computing view as any electronic device that helps you organize your life, communicate with coworkers or friends, or do your job more efficiently is part of mobile computing.
Error Analysis on the Students’ English Speech of STMIK Sinar Nusantara

This research was aimed at finding out the student’s English speech errors of STMIK Sinar Nusantara using psycho-linguistic approach. This study belongs to the qualitative descriptive research with 30 respondents selected by using simple random sampling. The data were collected by recording the students’ presentation. After that the data were analyzed by conducting observation and classification the errors found in the respondents’ speech using psycho-linguistic approach proposed by Clark and Clark. The result of the study showed that there were 336 (100%) speech errors found which were than classified into Silent Pause (34%), Filled Pause (13.7%), Repeats (9.2%), Retraced False Start 0.3%), Corrections (4.5%), Interjections (3.7%), Stutters (14%), dan Slip of Tongue (20.1%).
An Autonomous Learning in English Class in the Situation of COVID-19

During the season of pandemic covid-19, every school in Indonesia is asked to carry out distance learning. The teachers are asked to do their learning process through online so that their students would learn from their own home. This policy indirectly makes the students to study in their home independently and require more responsibility and autonomous students. (Atmojo and Nugroho, 2020). Based on the phenomenon, the researcher was interested to describe how teachers’ understanding about learner autonomy and how teachers view and promote it in this pandemic situation.The researcher applied the descriptive statistic to analyze the data that have collected. The questionnaire would be the instruments in this research. Close ended question and open ended question about learner autonomy which would ask to the teachers who teach in Junior High schools. It presented in five steps of data analyzed procedure: collecting, editing, coding, entering data, interpret.The result showed that there were 63,4%-93,3% of the teachers who understood learner autonomy and there were 63,4%-96,7% of the teachers who agreed to promote autonomy in pandemic COVID-19. There were several ways that teachers applied in this research in promoting autonomous learning in the situation of COVID-19.
Intelligens ágens alapú humanoid robot vezérlés: Intelligent agent based control of humanoid robot

The subject of the research is to investigate ways to teach an intelligent agent to be able to control a customly designed and built humanoid robot, that has 26 revolute joints. The goal to achieve for the agent, in terms of control is to be able to keep itself balanced, furthermore to learn to develop anecient walking gait, through sequences of trials. The learning method is based on reinforcement learning, for the actual learning the three dimensional mechanical model was used, paired with a simulation environment specifically designed for this application.KivonatA kutatas temaja, annak vizsgalata, hogy milyen modon tudunk egy intelligens agenst megtanitani egy sajat tervezesű, huszonhat forgasponttal rendelkező humanoid robot vezerlesere. A munka celja annak elerese, hogy az agens probalkozasok soran tanulja meg, hogy milyen modon kepes az egyensulya fenntartasara, illetve, hogy milyen mozgasi szekvenciak reven tud hatekonyan, egyenesvonalban mozogni. A tanitas, a megerősitő tanulasi modszer alapjan valosult meg, a vezerelni kivant robot haromdimenzios mechanikai modellje es egy erre a celra kialakitott szimulacios kornyezet reven.
Session-Based Recommender System for Social Networks' Forum Platform

Recommendation systems are important technology, especially for e-commerce and social media platforms. The study has been focused on forum based data. In the forum system, data is producing by users and This production makes data more sparse and pattern free form. This study proposes session-based recommendation system for forum type data. System has been built with recurrent neural network architecture. Each topic is considered as a item and entries in the topics are contracting sequence system. With this our problem space becomes proper for RNN(Recurrent Neural Network), GRU(Gated recurrent Unit) and LSTM(Long Short Term Memory) based architectures. For testing phase, HIT@K and MAP@K error metrics has been used. According error metrics results, Stacked LSTM architecture has been more successful then the others and Study shows that, Stacked based architectures are more precise then single-layered recurrent models.
WRITING ANXIETY OF INDONESIAN EFL STUDENTS: LEVELS, FACTORS, AND COPING STRATEGIES

Although, there have been similar studies on writing anxiety in the Indonesian context, this study is particularly important because it investigates three broad spectra in the study of writing anxiety simultaneously. This study examined the levels, the associating factors, and the strategies used to cope with writing anxiety among Indonesian EFL learners. The participants were 148 EFL students in two Study Programs at the Department of English, Universitas Negeri Padang. Second Language Writing Anxiety Inventory (SLWAI) developed by Cheng (2004) was used to collect the data on students’ levels of anxiety. Factors causing writing anxiety were investigated by administering Writing Anxiety Test (WAT) developed by Dally-Miller (1975). To gather data on coping strategies used to deal with writing anxiety, a questionnaire developed by Kondo & Yingling (2004) was utilized. It was found that the level of students’ writing anxiety ranged from medium to high, with the majority was in the medium level and none was in the low level. Factors causing writing anxiety were dominated by evaluation apprehension followed by stress apprehension and product apprehension. The coping strategies used by students to overcome writing anxiety were positive thinking, preparation, relaxation, resignation, and peer-seeking (most-frequent to least frequent respectively). Referring to these findings, it is imperative for writing instructors to implement assessment or evaluation strategies which facilitate learning (assessment for learning). Instructors are also encouraged to create a less tense atmosphere in writing class that no student resort to resignation as their way to cope with their anxiety. Keywords: writing anxiety, EFL, levels, factors, coping strategies
Statistical analysis to evaluate the quality of an online practice test

This paper describes the statistical analysis of an online practice test, developed on the grounds of the story “The Lumber Room” by Saki. The test contains 62 multiple-choice questions and 4 open-ended test items, constructed in accordance with specifically developed criteria, and it was taken by 37 first-year university students. The quality of each test question was evaluated as well as the quality of the test as a whole, including the difficulty level of the items, their discrimination, a distractor analysis, and the item-test correlation, along with the reliability and validity of the test. As a result of the performed analysis, conclusions were drawn regarding the student achievement and some corrections to the test questions were made.
Using interactive technologies to improve the quality of humanitarian education in a metropolis

Modern society presents high requirements to the quality of humanitarian education, and one of the methods of optimization is the use of interactive education technologies. Formation of the system of teacher’s domination in implementation of active learning methods (ALM) is based on the development of meaningful components of own subject experience, representing continuous and purposeful process, the active use of which is an expression of independence and educational activity. In the metropolis environment, the degree of development of each component of the subject experience and their ratio between each other determine the teacher’s ability to construction and subsequent implementation of own educational route. The research objective was to develop a model of ALM selection for humanitarian education in metropolis and estimate it experimentally with consideration for existing level of development of subject experience of teachers of higher education. The research was based on theoretical (analysis of psychological and pedagogical scientific publications, regulatory documents, state educational standards, simulation, analysis and generalization of pedagogical experience) and practical (monitoring, expert appraisal, pedagogic experiment) methods. For the first time, the objective and subjective factors have been revealed and systemized, which can influence the development and subsequent implementation of subject experience of teachers in humanitarian education under conditions of metropolis. With consideration for highlighted scientifically substantiated meaningful components of subject experience, the model has been developed to support ALM by teachers depending on the level of formation of subject position of a teacher. During the performed pedagogical experiment the efficiency of different variants of the recommended model of pedagogical support during ALM selection has been determined.
The Effects of Usage of Educational Interface Agent in Virtual Science and Technology Museums on The Interests and Successes of The Students

The aim of this research was to investigate the effects of the usage of educational interface agent in virtual science and technology museum on students successes and interests towards Science. Quasi-experimental research design with pretest-posttest control group was applied.The sample of the research consists of 67 6 th grade students from KA±rAŸehir Prof. Dr. Erol GA¼ngA¶r Elementary School in 2010-2011 spring semester. The students were randomly assigned to two different web based MTA Virtual Science and Technology Museum learning environments, one of which provided educational interface agent and the other did not. It took five weeks for the experimental process. According to the covariance analysis (ANCOVA) results, usage of educational interface agent in MTA Virtual Science and Technology Museum made a significant difference between the success scores of students. Students who studied with the virtual museum which provided educational interface agent were successful than the others [F(1-64)=4.429, p .05].
LibGuides: Dual Credit/Dual Enrollment Students:: Resources for Faculty

Welcome to the DSU Library Dual Credit/Dual Enrollment Research Guide! Find books and websites detailing information about MLA, Chicago (CMS), Turabian, and ACS citation styles.
B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks

Urban areas are negatively impacted by Carbon Dioxide (CO2 ) and Nitrogen Oxide (NOx) emissions. In order to achieve a cost-effective reduction of greenhouse gas emissions and to combat climate change, the European Union (EU) introduced an Emissions Trading System (ETS) where organizations can buy or receive emission allowances as needed. The current ETS is a centralized one, consisting of a set of complex rules. It is currently administered at the organizational level and is used for fixed-point sources of pollution such as factories, power plants, and refineries. However, the current ETS cannot efficiently cope with vehicle mobility, even though vehicles are one of the primary sources of CO2 and NOx emissions. In this study, we propose a new distributed Blockchain-based emissions allowance trading system called B-ETS. This system enables transparent and trustworthy data exchange as well as trading of allowances among vehicles, relying on vehicle-to-vehicle communication. In addition, we introduce an economic incentive-based mechanism that appeals to individual drivers and leads them to modify their driving behavior in order to reduce emissions. The efficiency of the proposed system is studied through extensive simulations, showing how increased vehicle connectivity can lead to a reduction of the emissions generated from those vehicles. We demonstrate that our method can be used for full life-cycle monitoring and fuel economy reporting. This leads us to conjecture that the proposed system could lead to important behavioral changes among the drivers
El rol de la academia en la sociedad en tiempos de distanciamiento social por el COVID-19

The academy must remain firm with its role with society in the face of times of social distancing, this may even imply with the situation experienced with the health emergency COVID-19; However, for this it is important to analyze the applicable educational strategies, the use of cyberspace being one of them, with applications such as WhatsApp, Teams or Zoom, which facilitate interaction between the subjects of the educational process: parents, teachers and students. Therefore, a theoretical tour is carried out on the existing studies that contribute to distance education, added to the conception of education in times of social distancing, in order to revalue the axes of action of the academy: teaching management, linking with the community and qualification for and with society.Keywords: Academy; social distancing; knowledge.
Progress on photonic tensor processors based on time multiplexing and photoelectric multiplication

Optical approaches to machine learning rely heavily on programmable linear photonic circuits. Since the performance and energy efficiency scale with size, a major challenge is overcoming scaling roadblocks to the photonic technology. Recently, we proposed an optical neural network architecture based on coherent detection. This architecture has several scaling advantages over competing approaches, including linear (rather than quadratic) chip-area scaling and constant circuit depth. We review the fundamental and technological limits to the energy consumption in this architecture, which shed light on the quantum limits to analog computing, which are distinct from the thermodynamic (e.g. Landauer) limits to digital computing. Lastly, we highlight a recent "digital" implementation of our architecture, which sheds light on the scaling challenges associated with controlling aberrations in the free-space optical propagation.