Reviewerly/exHarmony huggingface dataset:
PENGARUH CARA BELAJAR TERHADAP PRESTASI SISWA PADA PEMBELAJARAN DARING DAN LURING SD NEGERI KASSI KOTA MAKASSAR

Irmayanti, 2021.The Effect of Learning Methods towards Studentâ€™ Achievement in Online and Offline Learning at SD NegeriKassi Makassar.Supervised by Perawati Bte Abustang and Eka Fitriana HS.&#x0D; This study aims to determine the effect of learning methods on studentâ€™ achievementin Online and Offline Learning at SD NegeriKassi Makassar. This research used Ex Post Facto research with a quantitative approach. The research took place at SD NegeriKassi Makassar. The sample in this study was all students of class IV/A and IV/B consisting of 20 students in class IV/A and 20 students in class IV/B, total the total sampel is 40 students, while the technique of sample is simple random sampling.&#x0D; Data collection is a questionnaire, with data analysis using spss 21.0. The results of the descriptive shows that the analysis of the student learning method was very good category (65%), and studentâ€™ achievement was good category (60%). Inferential analysis results show that there is a positive influence on the way of learning on student achievement is online and offline learning at SD NegeriKassi Makassar with a sig value of 0.000&lt;0,05. So, theoretically and empirically the findings of this study states that the learning methodshaveaffectsof student achievement in online and offline learning at SD NegeriKassi Makassar.&#x0D; Keywords:Learning Method, Studentâ€™ Achievement, Online and Offline Learning
Analyzing Toxicity in Open Source Software Communications Using Psycholinguistics and Moral Foundations Theory

Studies have shown that toxic behavior can cause contributors to leave, and hinder newcomers’ (especially from underrepresented communities) participation in Open Source Software (OSS) projects. Thus, detection of toxic language plays a crucial role in OSS collaboration and inclusivity. Off-the-shelf toxicity detectors are ineffective when applied to OSS communications, due to the distinct nature of toxicity observed in these channels (e.g., entitlement and arrogance are more frequently observed on GitHub than on Reddit or Twitter). In this paper, we investigate a machine learning-based approach for automatic detection of toxic communications in OSS. We leverage psycholinguistic lexicons, and Moral Foundations Theory to analyze toxicity in two types of OSS communication channels; issue comments and code reviews. Our evaluation indicates that our approach can achieve a significant performance improvement (up to 7% increase in F1 score) over the existing domain-specific toxicity detector. The results show that utilizing moral values is more effective than linguistic cues, resulting in 67.50% F1measure in identifying toxic instances in code review data and 64.83% in issue comments.
Theme setting and achievement analysis of micro intelligent robot development education with social implementation in mind

Since 1988, the Department of Electronic Control System Engineering at National Institute of Technology, Numazu College has conducted development of Micro Intelligent Robot System“ MIRS ” as a Project-Based Learning (PBL) into the curriculum for the education of system development. The purpose of this project is to provide a place to learn ”the process of system development,” ”education as creative education,” and ”social implementation experiments” through robot development. In this paper, we report on the results of the socially-implemented robot education conducted under the theme of ”Life with Robots. The analysis of the past five years of practice results in this paper shows that the teams that conducted social implementation experiments had higher technology evaluation scores than those that did not. However, even among the groups that did not set a theme for possible social implementation, there were teams with high technology evaluation scores. Furthermore, because of the emphasis on social performance, groups with low technology evaluation scores appeared, indicating that it is necessary to set themes that allow social implementation and technological achievement.
Peer Recognition and Content Provision Online

This paper studies the effect of receiving recognition from peers on the motivation for providing the content. Using unique data from the most prominent Chinese Question-and-Answer (Q&A) platform, we evaluate whether an influencer is motivated to answer more questions after receiving more votes from others. Employing panel regression models with instrumental variables, we find that peers’ votes significantly encourage more answers. However, the platform’s badge policies largely weaken the effect of peers. Two badge policies are considered in our paper: a “self-authentication” badge and a “best-answerer” badge. Our findings suggest that while badges in the Q&A platform make it easier for users to identify the quality of an influencer, those badges that include a strong connotation also limit the content contribution, since influencers have concerns about their reputational management and privacy. Therefore, policies based on reputation and privacy may backlash against policies that increase traffic by encouraging voting.
A Contrastive Analysis Study Between English and Batak Toba in Request Sentence

This study examines the English and Toba Batak language request sentence. The imperative phrase of both languages from its form, purpose, and category in a sentence was studied in this analysis. The research used descriptive approach and contrastive analysis in terms of methods, the entire data were gathered by observing and interviewing the native speakers of Toba Batak dialects who still speak in their everyday communication. In the analysis, the authors outlined and compared the differences and similarities in request sentences. The result that we saw from the position of the subject In Toba Bataknese, the position of subject was flexible, they could change without changing the meaning. While in English the position of subject was stable. In the request sentence, Batak Toba is less harsh and Batak people rarely use the word please, and usually the intonation seems strong and there is emphasis, while the request sentence is more likely to be smooth and polite, and the intonation is smoother.
Smooth Representation Learning of Infrared and Visible Images

Deep learning-based methods generally adopt an unsupervised similarity fusion optimization mechanism (UFM) or Generative Adversarial Network-based fusion optimization mechanism (GFM) toward image fusion tasks without ground truth (GT) labels, which leads to the problem that the fused image is over smooth or under smooth. This paper adopts a simple-yet-effective self-supervised fusion representation learning optimization mechanism (FLM) by directly maximizing the mutual information between the fused image and the samples (i.e., positive and negative samples), which aims to overcome over- and under-smoothing problems at intra-image level. Following InfoNCE, we further propose a smooth representation learning optimization mechanism (SFLM), which balances the fused image under-smoothing and over-smoothing at the inter-image level. Specifically, the SFLM is optimized by minimizing the total variation loss in the pixel space and maximizing the total variation loss in the gradient space. To show the superiority of SFLM, quantitative and qualitative experiments are carried out on four public infrared and visible image fusion datasets, including RoadScene, TNO, VIFB, and MF. Experimental results and comparisons with the state-of-the-art on four public datasets validate the effectiveness, robustness, and overall superiority of our method.
Pi-Experience – Making 62.8 Trillion Digits Come Alive

In 2021, the University of Applied Sciences of the Grisons (FHGR) set the world record for the most accurate calculation of the circular number pi by calculating 62.8 trillion decimal places. The goal of the follow-up project described here is to present the world record to the public using different methodologies. To make the record comprehensible, it was planned to use different techniques and methods to convey the dimensions of the calculated number. In a first step, we created a website to allow searching for number patterns within the decimal places of pi. So far, pattern search has been implemented for dates, birthdays, and geocoordinates. We developed a custom corporate design and implemented it into the website for its presentation. We also enriched data with Linked Open Data. Further implementations, for example in the form of a virtual reality experience in the “Igloo” at the Institute for Multimedia Production at FHGR, are planned.
Examples of the use of “Yukkuri Kaisetsu” in robotics education

We are teaching "Fundamental Experiment on Mechatronics". In this experiment, we tried to have students prepare for the experiment by watching a short lecture video, which explains the principle of the experiment, before the day of the experiment together with reading the instruction manual. As a result, we found that while some students were able to gain sufficient understanding, others either did not watch the videos or skipped them, and thus did not fully understand the experiments. In this study, we made a video explaining the principle of the experiment using the “Yukkuri Kaisetsu” slow commentary technique often used on YouTube, etc. The students were asked to watch the video voluntarily, and the results of a questionnaire survey on the ease of understanding were reported.
The Stream Reasoning System I-DLV-sr: Enhancements and Applications in Smart Cities

I-DLV-sr is a recently proposed logic-based system for reasoning over data streams, which relies on a framework enabling a tight, fine-tuned interaction between Apache Flink and the ASP system $$\mathcal {I}^2$$ -DLV. Flink enables distributed stream processing, whereas $$\mathcal {I}^2$$ -DLV acts as full-fledged reasoner capable of transparently performing incremental evaluations. In this paper, we present a new and optimized version of I-DLV-sr that features an improved management of parallel computations and communications between Flink and $$\mathcal {I}^2$$ -DLV, along with new linguistic extensions aiming at allowing its effective application in smart city scenarios.
Students Report of ACM Multimedia System 2021

The 12th ACM Multimedia Systems Conference (MMSys'21) happened from September 28th through October 1st, 2021. The MMSys conference is an important forum for researchers in multimedia systems. But, due to the ongoing pandemic, the event was held in a hybrid mode - onsite in Istanbul, Turkey, and online. Organizers and chairs (Özgü Alay, Cheng-Hsin Hsu, and Ali C. Begen) worked very hard to make sure the conference was successful, both for the on-site participants (around 50) and the online participants (with a peak of 330 concurrent viewers). For a small description of the event, take a look at the text written by Ali Begen, one of the general chairs. To encourage student authors to participate on-site, SIGMM has sponsored a group of students with Student Travel Grant Awards. Students who wanted to apply for this travel grant needed to submit an online form before the submission deadline. Then, the selection committee chose 7 travel grant winners. The selected students received either 1,000 or 2,000 USD to cover their airline tickets as well accommodation costs for this event. We asked the travel grant winners to share their unique experiences attending MMSys'21. The following are their comments.
Analysis of Human Stepping Rhythmic Movements Instructed by Sound Signals

Compared to 30 years ago, motor skills of Japanese children have decreased. On the other hand, the height and weight have increased, and when considered as a musculoskeletal system, modern children are more developed. Nevertheless, motor skills have decreased, in order to solve the problem of decreased motor skills, it is important to improve not only the development of physical constitution but also the motor control skills. Thus, we focused on the sense of rhythm which is considered to be one of the motor control skills. In this study, we evaluated the human stepping rhythmic movements instructed by sound signals, conducted experiments twice a week for 4 consecutive weeks, and analyzed the improvement in rhythmic sense over time. We report the results.
The Impact of Corporate Social Responsibility on the Financial Performance with reference to the Banking Sector in Sri Lanka

Banks play a vital role in boosting economic development of a nation through financial instruments, transaction mechanism etc. While being so, it’s important also to be socially responsible as presently we live in a community where customers are more ethically, and CSR driven and are more attracted to firms that engage in socially responsible activities. Purpose of this research is to examine the relationship between corporate social responsibility (CSR) and financial performance within the banking sector of Sri Lanka. Research has selected seven high performing domestic licensed commercial banks in Sri Lanka as its sample for a period from 2010 - 2016. Research is conducted to gain more knowledge on the relationship between corporate social responsibility and financial performance with reference to the banking industry in Sri Lanka. Under such, research focus to achieve four objectives on to evaluate existing extent of CSR disclosure within banking sector in Sri Lanka, evaluate key elements of CSR initiatives in banking sector, evaluate impact of CSR on financial performance and establishing of effective CSR investments that could enhance bank financial performance.Research uses secondary data for the analysis purpose and employs ROE, ROA to identify the financial performance and CSR disclosure to identify the CSR activity levels of the selected sample within banking sector of Sri Lanka. The research results conclude that the null hypothesis is rejected as there is a positive significant relationship between CSR and financial performance. However, coefficient of both financial performance indicators show a non-linear relationship which concludes that even though there is a positive relationship between the two variables, it’s not strong and there are other more important variables like economy, macro-economic factors, political, social factors etc. that affect the ROE, ROA and simple the financial performance of banks in Sri Lanka. The research concludes the above sing five chapters that provide a thorough knowledge on research topic, purpose, methodology, data findings, data results discussion and practical aspects of the research results.
RESOURCES OF THE MULTIMEDIA HISTORICAL PARK “RUSSIA – MY HISTORY” IN THE CONTEXT OF THE IMPLEMENTATION OF THE STATE EDUCATIONAL POLICY

The article deals with the problem of modernizing the modern system of Russian education. The author focuses on the fact that state regulation and funding alone is not enough to improve the quality of education in Russia. In addition to the technical equipment of schools, it is necessary to take care of the training of modern highly qualified teachers who are able to effectively use modern digital technologies to solve professional problems. Attention is drawn to the educational potential of the multimedia historical park “Russia - my history”.
Pengaruh Metode Pembelajaran Card Short Terhadap Peningkatan Daya Ingat Mahasiswa Pada Pembelajaran Bahasa Arab Di Lapas Pemuda Kelas II A Kota Tangerang

The purpose of this study was to determine the effect of applying the short card learning method on improving student memory. Total population of 30 students, sampling technique using saturated sampling technique. Data analysis techniques using correlation and regression analysis. The results showed that there was a significant effect on the application of the short card learning method on improving student memory. With the results of calculating the correlation coefficient with the rxy formula, the results obtained are 0.67 with a significantly strong level and are positive in the use of the short card learning method to improve student memory at the Tangerang City Youth Lapas. This is also reinforced by the tcount results obtained with a score of 4.776 which is greater than the ttable which has a value of 2.048 and 1.701. And the results of the calculation of the coefficient of determination can be seen that the independent variable, namely the card short learning method with a contribution of 44.89%, influences the dependent variable, namely increasing student memory and 55.11% is influenced by other factors that the researchers did not study carefully. Keywords: card short learning method; memory
Miniaturization of Bathroom Cleaning (Bath Cleaning) Robot

We have developed a bathroom cleaning (bath cleaning) as part of our daily life support. The developed robot can clean walls, bathtubs, and floors with the single robot. In this study, we report that the size was reduced by replacing the nozzle.
Text Localization and Script Identification in Natural Scene Images and Videos

Text detection and its script identification in a natural scene image/video has attracted the attention of many researchers over the recent years due to its application in the de-sign of computer vision devices for usage by the visually impaired people, global tourists travelling in unfamiliar tourist places, etc. to facilitate them to understand the textual information displayed on sign boards, bill boards, public notice boards, etc., the objective of the proposed method is detection and localization of multilingual text in a natural scene video image and its corresponding script identification. The texts in three languages, namely, English, Hindi and Kannada, are considered. In the proposed method, CNN based YOLOv5 is used for text detection and localization in real-time videos of natural scene and it is also trained for script identification. The YOLOv5 performance is found to yield an accuracy higher than otherobject detection algorithms. The proposed model is trained witha custom dataset containing video images of natural scenes and istested for different scenarios like texts in different backgrounds, fonts, orientations, resolutions, and disturbances in the images. The experimental results demonstrate the effectiveness and robustness of the proposed method. The performance comparison is done with other methods in the literature.
Monitoring Open Science policy using a regional CRIS – the Flanders case with FRIS

In Flanders the government adopted an ambitious policy initiative to promote Open Science and it appointed FRIS, the regional CRIS, as the main tool to monitor the progress. Using a CRIS as a monitoring tool for a regional policy initiative has some advantages like good transparency, consistency, comparability of the results and less administrative burden for the institutions once the process for gathering and sending the information is in place. The preparatory process to define concepts, create definitions, discuss about the scope and the goals, was quite laborious and time-consuming, but proved very useful and necessary to get a good common understanding of the context, yielding better metrics and better alignment of the stakeholders towards the same goals. The current metrics framework is not an endpoint, but only the beginning. It is a start to improve the way we will monitor Open Science as we gather more insights on the way. The metrics help to get all stakeholders pulling in the same direction towards more Open Science.
Development and validation of a questionnaire on teaching and learning in remote education

Abstract This article presents a questionnaire proposal to inquire about teaching and learning in remote education. The questionnaire consists of 6 dimensions, 38 indicators, and 2 open-ended questions. The dimensions pertain to instructional planning, teaching resources, assessment for learning, social interaction, and pedagogical support. The instrument was constructed through an iterative process according to criteria of coherence and relevance considering the literature on the subject. The questionnaire was validated by five expert trials with the same criteria for its construction. The instrument was applied to a non-probabilistic sample of 202 teachers at different levels of school education. The overall reliability of the questionnaire was 0.943, so it has a high consistency between the indicators and the construct. The factorial analysis performed on the questionnaire indicates that there are seven factors that explain 61.6% of the total variance. These results indicate that it is a valid and reliable tool to inquire about the teaching and learning process in remote education. It is concluded that this instrument is a proposal that collaborates with the elaboration of relevant research criteria to study this emerging issue.
Numerical Analysis to Study the Effect of Control Temperature Location Inside a Datacenter

Abstract Modern HVAC control systems lack any sort of a link between the temperature sensors and thermal fields inside closed environments. Whether it is the CRAHBP or a single-unit HVAC system, temperature sensors are coupled with the return air temperature. This connection causes HVAC systems to continue operating until the return air temperature falls below a value defined by an operator. It results in wastage of electricity, because a significant amount of electricity is used to cool down almost the entire closed environment. With rapid advancements in cloud computing services, the expansion of existing and establishment of new datacenters is expected to grow. A major portion of the total electricity consumption in datacenters is consumed by the HVAC equipment. In this work, through high fidelity numerical simulations, we show that a coupling between HVAC sensors and the temperature field in regions of interest inside datacenters can lead to substantial saving of energy. For this study, we consider a tier-2, localized datacenter. It should be noted that the implementation of the proposed flow control method presented in this research work will result in improvement of the overall efficiency of the HVAC system without any major changes to already existing infrastructures of datacenters. Our CFD simulations predict that implementing the proposed control method reduces the power consumption of cooling equipment in the datacenter by 23%.
From GNNs to Sparse Transformers: Graph-Based Architectures for Multi-hop Question Answering

Sparse Transformers have surpassed Graph Neural Networks (GNNs) as the state-of-the-art architecture for multi-hop question answering (MHQA). Noting that the Transformer is a particular message passing GNN, in this paper we perform an architectural analysis and evaluation to investigate why the Transformer outperforms other GNNs on MHQA. We simplify existing GNN-based MHQA models and leverage this system to compare GNN architectures in a lower compute setting than token-level models. Our results support the superiority of the Transformer architecture as a GNN in MHQA. We also investigate the role of graph sparsity, graph structure, and edge features in our GNNs. We find that task-specific graph structuring rules outperform the random connections used in Sparse Transformers. We also show that utilising edge type information alleviates performance losses introduced by sparsity.
Peningkatan Minat dan Hasil Belajar Materi Getaran dan Gelombang pada Siswa Kelas VIII D melalui Model Group Investigasi

The lecture technique that does not vary used is not suitable for students because it is less fun and makes learning meaningless and this low learning outcome occurs in students of SMPN 10 Muaro Jambi. The low student learning outcomes are caused by the lack of accuracy in using the learning model. The investigative group learning model can be an alternative to fun learning, improving learning outcomes and making students build their own knowledge.