Reviewerly/exHarmony huggingface dataset:
The Effect of Using Video Power Director Learning Media on Student Learning Outcomes in Class VI SD

One part that cannot be separated from efforts to improve learning outcomes is improvement in the form of innovative learning media. By using learning media in the teaching and learning process can help teachers to clarify the presentation of material so that it is verbal and provide stimulation and arouse student learning interest. The purpose of this study is to determine the effect of using instructional media on student learning outcomes using the Power Director video on the material of the name of the capital city and currency of ASEAN class VI at UPT SDN 317 Gresik. This study uses the True-Experimental Design method using the PretestPosttest Control Group Design. Data collection was carried out in two meetings. Two classes were obtained as research samples by dividing class VI students into two classes, namely VI A as the control class and VI B as the experimental class. To determine the effect of using Power Director video media, students were given PreTest and Post-Test. Pre-test is given to students before being given treatment at the beginning of learning while post-test is given after receiving treatment at the end of learning. From the results of hypothesis testing it is also stated that Ha is accepted with the provisions of 𝑡𝑐𝑜𝑢𝑛𝑡(3,042) &gt; 𝑡𝑡𝑎𝑏𝑙𝑒 (2,262), Thus it can be concluded that Media Video Power Director has an effect on student learning outcomes in social studies class VI at UPT SDN 317 Gresik.
Cost-Efficient Data Privacy Protection in Multi Cloud Storage

Data privacy in the cloud is a big concern for all of its users, especially for public clouds. Modern trends in studies utilise multiple clouds to achieve data privacy protection. Most of the present studies focus on business-oriented solutions, but current study aims to create a solution for individual users which would not increase the cost of ownership, and provide enough flexibility and privacy protection by combining password protection, key-derivation, multilayer encryption and key distribution across multiple clouds. New design allows to use single cloud to store protected user data, meanwhile use free plans on other clouds to store key information on others and thereby does not rise a cost of the solution. As a result, proposed design gives multiple layers of protection of Data Privacy while having a low cost of use. With some further adaptation it could be proposed as a business solution.
Probabilistic Plan Recognition for Multi-Agent Systems under Temporal Logic Tasks

This paper studies the plan recognition problem of multi-agent systems with temporal logic tasks. The high-level temporal tasks are represented as linear temporal logic (LTL). We present a probabilistic plan recognition algorithm to predict the future goals and identify the temporal logic tasks of the agent based on the observations of their states and actions. We subsequently build a plan library composed of Nondeterministic Bu¨chi Automation to model the temporal logic tasks. We also propose a Boolean matrix generation algorithm to map the plan library to multi-agent trajectories and a task recognition algorithm to parse the Boolean matrix. Then, the probability calculation formula is proposed to calculate the posterior goal probability distribution, and the cold start situation of the plan recognition is solved using the Bayes formula. Finally, we validate the proposed algorithm via extensive comparative simulations.
MONITORING SYSTEM AND PERFORMANCE MEASUREMENT USING WEBSITE-BASED BALANCED SCORECARD METHOD

Abstract : Directorate General of State Assets West Kalimantan Regional Office each year has a work program provided by the central DJKN that must be completed, The work program is carried out with the target set by the central DJKN. DJKN has a standard method in measuring each work plan program, namely using the Balanced Scorecard method, But in its application there are still many processes in measuring and monitoring plans that are done manually so that business processes are carried out for a long time and are ineffective and without an information system, the monitoring process cannot be done in real time anywhere and anytime so that some work plans are late accordingly. with targets that will directly affect performance. This study aims to cut the manual business process by using a website-based performance monitoring and measurement system so that it is hoped that the performance monitoring process can be carried out optimally in real time and easily. The results of this research are in the form of a website-based performance monitoring and measurement system that has been tested for system functionalities and system interfaces by obtaining results according to each functional system and system interface available and testing for users at the Directorate General of State Assets West Kalimantan Regional Office obtaining a percentage of 88.55 % .. Keywords : Balanced Scorecard ; DJKN ; Monitoring ; Performance Measurement Abstract : Directorate General State Assets (DGST ) West Kalimantan Regional Office every year year have a given work program by the central DJKN which must completed , work program implemented with the target that has been set by the central DJKN . DJKN has standard method in measure every program plan work that is use the Balanced Scorecard method, but in implementation still many processes in measure and monitoring plan work done manually so that the business processes that are run eat long time and no effective as well as without existence system information make the monitoring process not can done by realtime everywhere and any time so that make a number of plan work late no in accordance with a target that direct will influence performance . Study this aim cut those manual business processes with use monitoring system and measurement performance web -based so that expected performance monitoring process could done by maximum with easy and realtime , Results study this in the form of monitoring system and measurement performance based on a website that has been tested functional system and interface system with get results in accordance will every functional system and interface existing system _ and testing to users at the West Kalimantan Regional Office DJKN get results percentage 88.55%. Keywords: Balanced Scorecard ; DJKN ; Monitoring ; Performance Measurement
Design and realization of a multi-channel high-speed synchronous data sampling system

In order to improve the problem of multi-channel and high-speed synchronous data sampling, a Broadband Signal synchronous sampling system of the inside and between boards is designed. It includes high-speed ADs with auto synchronous function, the synchronous sampling technology of between boards, analog light-module, digital light-module, GTX(Gigabit Transceiver) transmission technology. It ensures multi-channel synchronous data sampling and the phase coincidence indicator. Insides, the system can be realized easily and has stable synchronous performance and good extensibility. It can be widely implemented in area such as SAR, radiometer, phased array radar and so on.
EFL Students’ Difficulties in Writing Narrative Text

The purposes of this study are to identify the difficulties faced by students in writing narrative texts and to determine the factors that caused students’ difficulties in writing narrative texts. This research used qualitative research with a case study method. Data were collected from observations, questionnaires, and documentation. The participants in this study were tenth-grade students of one public high school in Serang, Banten Province. From the results of the study, there are four difficulties most agreed upon by students in writing narrative texts, namely students’ difficulties in (1) writing correct sentences, (2) using appropriate tenses, (3) using appropriate vocabulary, and (4) developing the ideas. Meanwhile, the factors causing students' difficulties in writing narrative texts that they are mostly agree with the limited vocabulary and they cannot write structured sentences in English. Based on the results of the study, it can be concluded that the difficulties faced by students in writing narrative texts are difficulties in grammar and vocabulary. Then, the factors that cause students difficulties in writing narrative texts are limited vocabulary and inability to understand the grammar well.
Revitalization of library management to optimize literacy in SDN 1 Kunti Ponorogo

In schools, libraries play a critical role in determining the academic climate. To optimize scientific activities, the library has been designed as a structured system with various purposes and functions. The library at SDN 1 Kunti, Ponorogo, on the other hand, has been unable to function properly. As a result, it is necessary to make efforts to reform the library's proper function. One of the suggested activities is the revitalization of library management in order to improve the school's literacy culture. This activity is part of a series of MBKM-related Kampus Mengajar program. Based on the activities carried out, it appears that the student literacy culture in schools is improving, allowing this revitalization program to run smoothly and on target.
Pedagogical conditions for the development of performing skills by clarnetists in distance learning conditions

The article is devoted to the pedagogical problem of creating conditions for the performing skills development among clarinet students in the context of distance learning. The relevance of the research topic lies in the fact that in the format of distance learning to play the clarinet, pedagogical conditions are needed that differ from traditional methods. The clarification of these issues with the help of empirical research will bring research in this area to a new methodological level. The research materials are evaluation sheets of pedagogical observation in two groups of 1st year students of the music university in distance learning. The general sample of students was 750 people. The representative sample was 75 people selected by mechanical sampling. The research methodology is based on a systematic approach and includes the methods of the general scientific group (analysis, synthesis, induction, deduction); as well as special methods: content analysis of scientific literature, the method of included pedagogical observation, the method of statistical analysis. All obtained qualitative results were converted into a quantitative format and processed using the special program. As a result, the author came to the following conclusions: for the successful formation of performing skills in playing the clarinet, it is necessary to create an interactive environment, use digital technologies and clearly set educational tasks, the solution of which contributes the development of performing skills by students.
Indian Sign Language Interpreter using CNN Algorithm

For quiet people, sign dialect could be an imperative implies of communication. Each movement in sign dialect features a unmistakable meaning. As a result, complex meanings may be portrayed employing a blend of a few crucial pieces. Sign language could be a gesture-based dialect utilized by hard of hearing and difficult of hearing people to communicate. It may be a non-verbal dialect that is utilized to assist hard of hearing and difficult of hearing people communicate more effectively with each other and with normal individuals. Sign dialect has its claim set of standards and sentence structure for communicating productively. The two essential sorts of sign dialect acknowledgment are image-based and sensor-based. Signal acknowledgment is getting to be more prevalent in an assortment of areas, counting human interface, communication, mixed media, and security. In most cases, sign acknowledgment is connected to visual comprehension. It is isolated into two stages: discovery and distinguishing proof of signs. The practice of obtaining a characteristic from certain objects based on specified parameters is known as sign detection. Sign identification is the process of recognizing a certain shape that differentiates a thing from other objects. Language is very useful when there are no other options for communicating.
Strategi Guru Untuk Meningkatkan Kemampuan Membaca Permulaan Pada Siswa Kelas I SD di Masa Pandemi

The ability to read is one of the aspects of language that students in elementary school need to learn. The success of students in learning is influenced by the mastery of students' reading skills at the beginning level. The impact of the Covid-19 virus makes it difficult for grade 1 elementary school students to read so that they have difficulty understanding the material presented by the teacher through online learning. For this reason, steps were taken to implement the strategy by holding "Reading Lessons". Through this strategy, it is hoped that: 1) the students' initial reading ability will increase; 2) understand the supporting and inhibiting factors of teachers in implementing strategies to improve students' early reading skills. The research design used descriptive qualitative. The research subjects were teachers and first grade students of SDN 1 Bawu Jepara. Data collection techniques using observation, interviews, and documentation. Data analysis through data reduction, data presentation, and drawing conclusions. The results showed that: 1) the "Les Reading" strategy can improve students' initial reading skills through: a) planning (teacher preparation in delivering materials and using learning methods and media; b) implementing strategies (learning steps and student participation); and 2) The supporting factors for the strategy are parents, school policies, and the availability of learning media. While the inhibiting factors for the strategy are internal to the students and the limited time for implementation.
Analyzing the Intensity of Complaints on Social Media

Complaining is a speech act that expresses a negative inconsistency between reality and human expectations.While prior studies mostly focus on identifying the existence or the type of complaints, in this work, we present the first study in computational linguistics of measuring the intensity of complaints from text.Analyzing complaints from such a perspective is particularly useful, as complaints of certain degrees may cause severe consequences for companies or organizations.We create the first Chinese dataset containing 3,103 posts about complaints from Weibo, a popular Chinese social media platform.These posts are then annotated with complaints intensity scores using Best-Worst Scaling (BWS) method.We show that complaints intensity can be accurately estimated by computational models with the best mean square error achieving 0.11.Furthermore, we conduct a comprehensive linguistic analysis around complaints, including the connections between complaints and sentiment, and a cross-lingual comparison for complaints expressions used by Chinese and English speakers.We finally show that our complaints intensity scores can be incorporated for better estimating the popularity of posts on social media. 1
Causal Alignment Based Fault Root Causes Localization for Wireless Network

Localizing fault root causes is challenging but critical for wireless network operation and maintenance. Though supervised methods have shown promising results in training samples, most of the existing approaches assume that the training and the testing samples are independent and identical distributed. Such an i.i.d assumption usually does not hold due to network faults that may occur in different devices across different domains (well known as the distribution shift). Thus, it is necessary to align distributions between the training and test data set. Motivated by the stability of the causal mechanism across the domains, a Causal Alignment based Root Cause Localization (CARCL) framework, including the causal alignment and the multi-stage classifier, is proposed. CARCL first offers to align the distributions locally for each causal module but not globally on the complete variable set. We further develop a multi-stage classifier to determine the root causes with the help of predicted pseudo labels. The experiments demonstrate a superior performance of our method.
Meta-Knowledge and Multi-Task Learning-Based Multi-Scene Adaptive Crowd Counting

In this paper, we propose a multi-scene adaptive crowd counting method based on meta-knowledge and multi-task learning. In practice, surveillance cameras are stationarily deployed in various scenes. Considering the extensibility of a surveillance system, the ideal crowd counting method should have a strong generalization capability to be deployed in unknown scenes. On the other hand, given the diversity of scenes, it should also effectively suit each scene for better performance. These two objectives are contradictory, so we propose a coarse-to-fine pipeline including meta-knowledge network and multi-task learning. Specifically, at the coarse-grained stage, we propose a generic two-stream network for all existing scenes to encode meta-knowledge especially inter-frame temporal knowledge. At the fine-grained stage, the regression of the crowd density map to the overall number of people in each scene is considered a homogeneous subtask in a multi-task framework. A robust multi-task learning algorithm is applied to effectively learn scene-specific regression parameters for existing and new scenes, which further improve the accuracy of each specific scenes. Taking advantage of multi-task learning, the proposed method can be deployed to multiple new scenes without duplicated model training. Compared with two representative methods, namely AMSNet and MAML-counting, the proposed method reduces the MAE by 10.29% and 13.48%, respectively.
Multilingual Machine Translation: Deep Analysis of Language-Specific Encoder-Decoders

State-of-the-art multilingual machine translation relies on a shared encoder-decoder. In this paper, we propose an alternative approach based on language-specific encoder-decoders, which can be easily extended to new languages by learning their corresponding modules. To establish a common interlingua representation, we simultaneously train N initial languages. Our experiments show that the proposed approach improves over the shared encoder-decoder for the initial languages and when adding new languages, without the need to retrain the remaining modules. All in all, our work closes the gap between shared and language-specific encoder-decoders, advancing toward modular multilingual machine translation systems that can be flexibly extended in lifelong learning settings.
تأثير تعليم القواعد لتنمية مهارة القراءة بمدرسة الثانوية الاسلامية الأهلية مفتاح العلوم سورين بجمبر جاوى الشرقية

The aim of this research is (1) to find out the effect of teaching grammar to develop reading skill at Al-Ahlia Islamic Secondary School Miftah Al-Ulum, Surin Jember, in the academic year 2020/2021, (2) to know the effect of teaching grammar to develop the skill of oral and silent reading. The research method that the researcher uses is to use the quantitative research method, which is a research that focuses on collecting quantitative data (data in the form of numbers) and uses statistical analysis as a basis for data presentation, data analysis, hypothesis and conclusion: In this study, it is necessary to test the theory that learning the good It has an effect on developing reading skill at Al-Ahlia Islamic Secondary School, Miftah Al-Ulum, Surin, Jember. To collect data, it is the method of questionnaire, observation, interview and documentation. To analyze the data, the researcher uses statistical methods in the form of (Product Moment). And the percentage on the research topic means causal correlation research. After analyzing the data in the form (Product Moment), the following number was obtained: (1) There is an effect of teaching grammar to develop reading skill. The value is 0.959, 1,000 means that "the effect is very high". (2) There is an effect of teaching grammar to develop the oral reading skill, meaning the obtaining of the value is 0.997, 1,000 that “the effect is very high”, and by the percentage of the silent reading skill, the means of obtaining the value is 0.997, 1,000 that the “high effect” severely."
When and How to Include Field Documentation Such as Photographs, Sketches, and Video in CSI Reports

A crime scene investigator is responsible for a variety of documenting methods on the scene which often include photographs, sketches, and videos. When completing these tasks, the CSI must include details of this documentation in their reports.
Collaborative Collection Management: Accessioning, De-accessioning, and Decision Making with a World View

Scientific and astronomical libraries often manage their collections in siloes, with limited coordination or communication when making collection decisions.These proceedings offer an alternative -making collection management decisions with a world view -and describe the benefits of this approach toward the collective stewardship of the scientific body of knowledge.We share two divergent, real life views of distinct library collections at the Space Telescope Science Institute and the U.S. Naval Observatory.The practical differences it has made to have a formal collection development policy in place, the evolution of those policies, and shared processes for developing a more collaborative mindset, such as worldwide assessment and transfer, are explored.Throughout, our aim is to increase cross-institutional communication and collaboration on collection decisions in order to ensure that unique historical materials are preserved for the common good in the location most in need or most capable of managing those materials.
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs

Learning the similarity between structured data, especially the graphs, is one of the essential problems. Besides the approach like graph kernels, Gromov-Wasserstein (GW) distance recently draws a big attention due to its flexibility to capture both topological and feature characteristics, as well as handling the permutation invariance. However, structured data are widely distributed for different data mining and machine learning applications. With privacy concerns, accessing the decentralized data is limited to either individual clients or different silos. To tackle these issues, we propose a privacy-preserving framework to analyze the GW discrepancy of node embedding learned locally from graph neural networks in a federated flavor, and then explicitly place local differential privacy (LDP) based on Multi-bit Encoder to protect sensitive information. Our experiments show that, with strong privacy protection guaranteed by ε-LDP algorithm, the proposed framework not only preserves privacy in graph learning, but also presents a noised structural metric under GW distance, resulting in comparable and even better performance in classification and clustering tasks. Moreover, we reason the rationale behind the LDP-based GW distance analytically and empirically.
Social Media Language and Images Predict Psychiatric Diagnoses and Impending Hospitalization

We used computational methods to extract features based on Facebook language and images and related these measures to clinically verified diagnoses and hospitalization events.