Reviewerly/exHarmony huggingface dataset:
Some Things Said, But More Unsaid

Milton QuarterlyVolume 54, Issue 2 p. 162-163 Miscellaneous Notes and News Some Things Said, But More Unsaid Edward Jones, Corresponding Author Edward Jones comus37@gmail.com Oklahoma State UniversitySearch for more papers by this author Edward Jones, Corresponding Author Edward Jones comus37@gmail.com Oklahoma State UniversitySearch for more papers by this author First published: 17 November 2020 https://doi.org/10.1111/milt.12344Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume54, Issue2May 2020Pages 162-163 RelatedInformation
Pelatihan TOEFL bagi Lembaga MAMMESA

The partner of this Community Partnership Program was Mammesa Institution (Massenrempulu Meeting of the English Students Association). The problems were: (1) The absence of facilitators who were considered competent in carrying out TOEFL training for Mammesa institution, (2) The TOEFL work program was not implemented because of financial constraints to bring up the facilitators. The expected outcome was that 80% of participants know the forms of questions in the TOEFL Test and are able to answer these questions using certain strategies. The approach used in the implementation of the training consisted of two methods, namely the presentation of material and the provision of tests. The results achieved were 90.3% of participants had known the forms of TOEFL questions and were able to answer these questions using the strategies that had been taught during the training. It was proved by the increase in scores they got from pre-test to post-test. Based on observations during the training activities, it can be concluded that the training participants were very enthusiastic in participating in the training. They earnestly paid attention to the presentation of material and asked questions that they did not understand. They were also very enthusiastic in working on examples of TOEFL Tets. They hope that similar activities will be carried out because it was very beneficial for them
¿Cómo aprenden las generaciones Z y Alpha desde la perspectiva docente?: Implicaciones para desarrollar la competencia aprender a aprender

The fast-paced changes and the uncertainty inherent in a liquid society make it more than ever necessary for students to acquire the learning to learn competence. This paper presents an international search following a qualitative approach in which, using interviews as a method for data collection, 80 Italian, Spanish and Uruguayan teachers have participated. The study aims to find out which are, from a teacher’s perspective, the defining characteristics of Generations Z and Alpha that currently attend school and how they learn, subsequently inferring the main lines of action to enhance learning to learn. The teachers of the three participating countries agree that students nowadays are remarkably different from those of years ago. They mention fascination with social media and low frustration tolerance, as well as a shorter attention span and an urge for immediacy. Following the results, the main lines of action to promote the learning to learn competence in schools are indicated.Key words: Generation Z, Generation Alpha, learning to learn, competences, teachers.
I DO LIKE SPEAKING ENGLISH

Speaking English skill has been trending in the mastery of foreign languages since the 19th century. However, at the beginning of the emergence of foreign language teaching in Indonesia, mastery of English speaking skills was only seen as an issue of formal learning outcomes in which English is a cumpolsory subject at the secondary school level. This condition led to the prestige of mastering English speaking skills starting to decline since the beginning of the 20th century where learning technology was increasingly sophisticated and brought formal learners of foreign languages on their own paths to master it. By using the Multiple Case Study, the issue that is the most underlying the students’ achievement of the English speaking skills mastery, how theylearnto achievethe skills, and how to keep on going on the skills were investigated. 10 informants were involved consisting of 7 active students and 3 alumni at and from UniversitasSembilanbelas November Kolaka, Southeast Sulawesi. Data were collected systematically through in-depth interviews, Focus Group Discussion (FGD), and documentation. Data were analyzed by applying six steps of Auerbach& Silverstein's analysis. The result revealed that a sense of liking was the most underlying issue in the informants’ achievement in English speaking skills, especially the past sense of liking. The result also revealed that the informants had a unique way in learning the English speaking skills, it was in an unpredictable way; they learned whenever and wherever they like, according to their own desire or willingness or pleasure, situational and curious – based, and free from formal regulations.
GOSTs (national standards) to support innovative activities: Application in libraries

Implementation of several national standards (GOSTs) to regulate innovative activities is discussed. These standards will have a positive impact on the innovative development of libraries and other organizations in the socio-cultural sphere.
Clustering Koridor Transjakarta Berdasarkan Jumlah Penumpang Dengan Algoritma K-Means

Transportation is one of the facilities that make it easy for humans to carry out activities to move places using vehicles that are driven by humans or machines. Based on data obtained from data.jakarta.go.id, the number of Transjakarta bus passengers in corridors 1 to 13 of 2017 amounted to 114,239,960, and in 2018 there were 121,918,964 passengers. The algorithm used in this research is K-Means Cluster, which is implemented using Microsoft Excel and Rapidminer Studio. The purpose of this study is to cluster Transjakarta corridors based on the number of passengers divided into 3 clusters: high, medium, and low. The results of data processing show that the Transjakarta corridor data cluster is based on the number of passengers using the K-Means cluster algorithm using Microsoft Excel and Rapidminer Studio to produce 3 clusters, namely cluster 1 with the highest number of passengers, one corridor, cluster 2 with the number of passengers being nine corridors and cluster 3 or 0 with a low number of passengers there are three corridors. The highest number of passengers is corridor one which serves the Blok M - Kota route, indicating that the Blok M - Kota route is the most used by Transjakarta passengers.
Electronic Data Interchange (EDI) Applications Use the Decision Tree Method to Determine Vendor Recommendations

Electronic Data Interchange (EDI) is an electronic data exchange mechanism between a company and another company or Business to Business (B2B) in a supply chain cycle. In this study, EDI's role in managing the procurement of goods as well as the EDI model has been applied. Determination of vendor recommendations is one element of vendor performance evaluation of the procurement process. Lack of information and analysis obtained by PT. Cinovasi Rekaprima makes it difficult to predict vendor recommendations. Predicted vendor recommendations can help the Procurement Division in developing appropriate strategies to determine recommended vendors. This problem can be applied to data mining techniques to make predictions using the classification method. Decision Tree is a method that converts facts into decision trees that represent rules that can be interpreted by humans. Attributes that influence the determination of vendor recommendations consist of the availability of goods, services, ease of ordering and product quality. Sample data obtained directly from the Procurement Division of PT. Cinovasi Rekaprima is primary data in the form of vendor data (quotation) and secondary data in the form of vendor performance evaluation forms. The result of the EDI application is a classification consisting of 2 classes, namely recommended vendors and non-recommended vendors and the Procurement Division can use it for decision making to determine the right vendor, so that the procurement process becomes easier and increases company profitability. The testing model uses k-fold cross-validation with the k value is 1 to 10 fold. This application can determine vendor recommendations with the highest accuracy 87.00 % on k-3 and k-5 fold.
ANALISIS DEBIT AIR DI SUB DAS NAHIYAH DAS ASAM-ASAM KABUPATEN TANAH LAUT

The purpose of this study is to determine the value of the Water Discharge in the Nahiyah Asam-Asam watershed sub-watershed. Measure of water discharge is carried out using two methods. The first method uses a current meter, while the second method uses a float and is accompanied by a measurement of Water Level (WL) using a Piscal tool. There are two data taken namely primary data and secondary data. The research was conducted from January 2019 to April 2019. Based on the result obtained, it is known that the upstream water discharge with an average water flow of 2,38 m 3 /second. In the middle water flow with an average water flow of 4,27 m 3 /second. In the downstream water discharge with an average water discharge of 8,16 m 3 /second. Keyword: water discharge; upstream; middle; downstream
Databases of stock-keeping units: Automation of hosting and maintenance processes

The productivity software solutions for remote managing movable electrical racks from tablets, laptop or PC and maintaining the unit database are discussed.
Digital Literacy Movement by Former Migrant Workers in Wonosobo, Central Java

The digital literacy movement is mostly centered in big cities even though internet users in rural areas are also very high. In Tracap Village, Wonosobo District, there is a community of former migrant workers who care about digital literacy. Living in a remote area does not mean that the people there are backward but it makes them more creative. This paper would like to describe the digital literacy movement carried out by former migrant workers in Wonosobo Regency, the goals to be achieved and their strategies in conducting digital literacy. The research method used in this study is qualitative. Data collection is done by in-depth interviews, observation, and document analysis. The study found that the experience of being a migrant worker who had difficulty communicating with families in the village was the main driver for former migrant workers in Wonosobo to share their knowledge about internet use with villagers. The goal is that communication between family members continues to exist even though one of his family is abroad. The strategies carried out to provide knowledge and skills in using the internet started from subscribing to the internet which can be accessed free of charge by citizens to open internet classes for migrant workers’ children. The internet which was originally only used as a medium of communication with families abroad developed into something productive, namely to help with school or work assignments, sell online and make games.
Report of a VR game dealing with the emotional stress caused by the outbreak of coronavirus

Due to the current epidemic situation, China has implemented measures such as banning recreational activities and reducing going out. This paper will take the impact of new technology on the current epidemic situation as the breakthrough point, and discuss how the application of VR technology affects the society shrouded by the epidemic.
Efficient Fundamental Matrix Estimation for Robotic Visual Servoing Based on Continuous-time Optimization

ABSTRACTThis paper deals with the problem of estimating the fundamental matrix in real time for robotic visual servoing. In order to improve the efficiency of the fundamental matrix estimation,anew method incorporating the rank-2 constraint directly is proposed based on continuous-time optimization. By designing a proper projection matrix, the estimation is transformed into an integration process of a continuous-time dynamical equation. Simulation and real experiments show that, compared to conventional discrete-time optimization methods, the proposed method could achieve similar accuracy while converging faster(more than 7 times faster when the number of point correspondences is 1000).
The Necessitate of Regulation for Social Media Posting in India

It has been recently assessed that the quantity of social media clients are generally around two billion; in addition, it is foreseen that this number would altogether ascend in an incentive because of the expanding utilization of PDAs, which thus brings about the expanding utilization of mobile social networks. Developed nations have their own guideline for posting and getting to the substance from/to the social media. Numerous nations didn’t outline any guideline for posting internet based social media substance. This paper dismembers about the peril components of social media and the proposed guideline of the government of India for Social Media posting. The purpose of this investigation is to make the attention about the social media issues and the need of immediate and effective regulation against the publication and proliferation of sexually abusive web content like kid erotic entertainment, assault and assault recordings and frightful material through Internet.
Large Product Key Memory for Pretrained Language Models

Product key memory (PKM) proposed by Lample et al. (2019) enables to improve prediction accuracy by increasing model capacity efficiently with insignificant computational overhead.However, their empirical application is only limited to causal language modeling.Motivated by the recent success of pretrained language models (PLMs), we investigate how to incorporate large PKM into PLMs that can be finetuned for a wide variety of downstream NLP tasks.We define a new memory usage metric, and careful observation using this metric reveals that most memory slots remain outdated during the training of PKMaugmented models.To train better PLMs by tackling this issue, we propose simple but effective solutions: (1) initialization from the model weights pretrained without memory and (2) augmenting PKM by addition rather than replacing a feed-forward network.We verify that both of them are crucial for the pretraining of PKM-augmented PLMs, enhancing memory utilization and downstream performance.Code and pretrained weights are available at https://github.com/clovaai/pkm-transformers.
Introduction to Cloud Computing and Amazon Web Services (AWS)

In this chapter, you will learn the fundamentals of cloud computing and get an overview of select products from Amazon Web Services. AWS offers a free tier where a new user can access many of the services free for a year, and this will make almost all examples here close to free for you to try out. Our goal is that by the end of this chapter, you will be comfortable enough with AWS to perform almost all the analysis in the rest of the book on the AWS cloud itself instead of locally.
법조(法曹)영역으로의 인공지능 도입에 대한 제언 - 영업비밀 침해사건을 중심으로 -

The symbol of the era of the Fourth Industrial Revolution, Artificial Intelligence(AI) is changing the direction of work in almost every area. This phenomenon is not an exception in the field of law. Actually, in overseas cases, artificial intelligence performs lawyer’s work such as reviewing and writing contracts, The area is gradually widening. In these circumstances AI, the most advanced scientific technology, is being introduced into the most conservative area, why do we look skeptical about its emergence? Now, it is necessary not to look only at the negative or skeptical view of the emergence of AI, but rather to actively and flexibly respond to it based on national and social consensus in terms of the right to a quick and accurate trial. Therefore, in this article, we investigate the possibilities of AI to limit the scope of business secret leakage cases based on the data that are examined and analyzed all over business secret cases saw. On the other hand, we can not rule out the possibility that AI will be introduced into the legal domain and eventually replace the role of human judges. However, in order to introduce AI into the legal domain, the issue of public disclosure of legal information big data, such as the judgment sentence which is currently only extremely limited, should be solved along with the improvement of the current legal system such as the Data Protection Act. Therefore, in this thesis, I would like to suggest some ideas on introducing AI into the legal domain, starting with interest and discussion on who should be AI.
Research on Educational Evaluation

Research on Educational Evaluation Investigate on Instructive Assessment Afterward Designs in Educator Advancement in youth work focuses to back energetic people to amplify their mindfulness and judgment aptitudes of the servile accept and unequal world in which we live, through a handle of intellectuals learning, conversation around, action and reflection could be a broad- scope, official peer-reviewed journal that conveys creative ask almost, With a collaborative, intensive and straight forward peer- review, the journal produces the most noteworthy logical quality in both principal and connected investigate, and progressed article- level measurements degree the real-time affect and impact of each distribution, driven by Prof Dr. Cecilia Youthful and bolstered by a geologically differing, high-quality publication board.
Photographic Text-To-Image Synthesis via Multi-Turn Dialogue Using Attentional GAN

The process of generating an image that depicts naturalness is not so easy. To address such problem this paper introduces a novel approach to synthesize a photo-realistic image from the caption. The user can adjust the image highlights turn-by-turn according to the caption. This leads to the integration of natural intelligence. For this, the input passed to dialogue state tracker to extract context feature. Then the generator produces an image. If image is not as per expectations then user gives another dialogue, but the system takes both recent input and previous image to generate a new one. In such a manner, user gets a chance to visualize as per the imagination. We performed extensive experiments on two datasets CUB and COCO to generate a realistic image each turn and obtained the results: Inception Score (IS) of 4.38 ± 0.05, R-precision of 67.96 ± 5.27 % on CUB dataset and IS of 26.12 ± 0.24, R-precision of 91.00 ± 2.31 % on COCO dataset. Further, the work could be enhance to synthesize HQ image, voice integration, and video generation from stories and so on. This research is limited to 256x256 image in each turn.
THE EFFECT OF POWTOON ON STUDENTS' SPEAKING SKILL AT SMK WIDYA TANJUNGPINANG

This research is aimed to determine the effect of PowToon animation video on students’ speaking skill in narrative text at SMK Kesehatan Widya Tanjungpinang. This study used quasi-experimental. During this study, involves 40 students which divided into two classes. 20 students in class X Perawat as experimental class and was taught using PowToon animation video and 20 students in class X Farmasi as control class and was taught using picture series. The research instrument employed in this research was oral test. The researcher carried out a pre-test which was then implemented in both groups. Then, after the treatment the researcher gave a post-test to figure out the increase in the mean score. The pre- and post-test findings were evaluated using normality, homogeneity and paired sample t-test. From post-test results it was shown that the group taught using PowToon animation video includes a higher mean score where the mean score of experimental class in post-test was 83.40 and therefore the mean score of control class in post-test was 76.40. The students’ mean score of the experimental class was beyond than the control class. Supported the results of the t-test and therefore the differences between The mean score of the experimental class and the control class concludes that PowToon animation video has a major impact on the narrative text of SMK Kesehatan Widya Tanjungpinang students in the 10th grade.
La dimensión moral en las redes: Cyberbullying y la educación ética para la ciudadanía

espanolEste trabajo presenta una reflexion critica y constructiva sobre la necesidad de analizar la conducta en las redes sociales y, en general, la ciberconducta como una dimension mas de las relaciones interpersonales. Fenomenos como el ciberacoso deben entenderse como formas de violencia injustificada que son inmorales y ponen en riesgo la construccion de una conciencia etica y ciudadana. La prevencion de estos riesgos debe focalizarse en la mejora de la comunicacion y la solidaridad en las redes sociales. Un escenario que hemos llamado ciberconvivencia. EnglishThis work presents a critical and constructive reflection on the need to analyze behavior in social networks and, in general, cyber behavior as another dimension of interpersonal relationships. Phenomena such as cyberbullying should be understood as forms of unjustified violence that are immoral and put at risk the construction of an ethical and citizen conscience. The prevention of these risks should focus on improving communication and solidarity in social networks. A scenario that we have called cybercoexistence.
Application of ert method for identification of electric anisotropy in the Kluchi field area

The article presents the results of the measurements by electrical tomography methods in the area of the Kluchi polygon. Taking into account a priori well data, the parameters of the geoelectric model and the anisotropic characteristics of the reference geoelectric horizon, represented by shale, are determined. The anisotropy parameter can be used in priority tasks of nature management for the exploration and development of minerals, in environmental problems, to prevent dangerous natural and man–made phenomena.
Policy Brief. Promoting the SOAS GCRF Strategy: A qualitative assessment of research development processes and partnerships building in collaborative international research

This policy briefing aims to present key findings from a recently completed review of internal research development processes and approaches to partnerships building at SOAS. Like other universities, SOAS successfully received GCRF QR funding in order to implement its GCRF Strategy, identifying specific outcomes for the period 2018-2020. The current research project was conducted in order to facilitate the implementation of these objectives. It aimed to investigate more systematically barriers related to finance, contracts and compliance in international collaborative research faced in-house and in partner countries, understand current approaches to partnerships building and identify possible improvements and good practices. The research was led by Dr Romina Istratii in her role as GCRF Project Officer and was overseen by the then Director of Research and Enterprise Dr Alex Lewis.
Predicting media memorability using ensemble models

Memorability, defined as the quality of being worth remembering, is a pressing issue in media as we struggle to organize and retrieve digital content and make it more useful in our daily lives. The Predicting Media Memorability task in MediaEval 2019 tackles this problem by creating a challenge to automatically predict memorability scores building on the work developed in 2018. Our team ensembled transfer learning approaches with video captions using embeddings and our own pre-computed features which outperformed Medieval 2018’s state-of-the-art architectures.