Reviewerly/exHarmony huggingface dataset:
Value-added Evaluation System for Vocational School Students Construction and Practice Research

Student evaluation in the new era should be rooted in the educational macro background of "cultivating people by virtue" and comply with the overall policy orientation of educational evaluation reform. This research focuses on the construction and implementation of value-added evaluation system. Combined with the characteristics of vocational school students, this paper constructs a four-level index system and refines the student evaluation standards. The evaluation subjects are students, head teachers, teachers, parents and enterprise managers. Through the development of the related APP, it is convenient for each evaluation subject to input information, and finally use K-line chart to visually present the change process of the appreciation in students' literacy. A value-added evaluation system with strong timeliness, objectivity, motivation and operability is constructed.
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning.

In this work, we introduce panoramic panoptic segmentation as the most holistic scene understanding both in terms of field of view and image level understanding for standard camera based input. A complete surrounding understanding provides a maximum of information to the agent, which is essential for any intelligent vehicle in order to make informed decisions in a safety-critical dynamic environment such as real-world traffic. In order to overcome the lack of annotated panoramic images, we propose a framework which allows model training on standard pinhole images and transfers the learned features to a different domain. Using our proposed method, we manage to achieve significant improvements of over 5% measured in PQ over non-adapted models on our Wild Panoramic Panoptic Segmentation (WildPPS) dataset. We show that our proposed Panoramic Robust Feature (PRF) framework is not only suitable to improve performance on panoramic images but can be beneficial whenever model training and deployment are executed on data taken from different distributions. As an additional contribution, we publish WildPPS: The first panoramic panoptic image dataset to foster progress in surrounding perception.
Examining cyber security implementation through TLS/SSL on academic institutional repository in Indonesia

Introduction. This paper examines the cybersecurity of AIR in Indonesia by analyzing the security aspect focusing on the security protocols involving network called TLS (Transport Layer Security) and SSL (Secure Socket Layer), which has functions to secure the communication.&#x0D; Data Collection Methods. This research was conducted through experimental on the best AIR in Indonesia at private and public universities.&#x0D; Data Analysis. The data were descriptively analysed using scoring method of SSL Scoring.&#x0D; Results and Discussion. Several issues found was most Indonesian Academic Institutional Repositories have vulnerable security issues in their TLS/SSL and could cause problems disastrous for their information asset's security. &#x0D; Conclusion. Based on the findings, Indonesian AIR is urgent to implement security intervention for AIR to update the technology and policy to protect the information asset.&#x0D;
PROMOTING STUDENTS’ CONFIDENCE THROUGH VIDEO PROJECT-BASED LEARNING

Students require confidence in order to use language they are learning, yet self-confidence remains a challenge for them in language learning. This research examines Video Project-Based Learning (VPBL) which is a video learning method as an educational process of delivering knowledge and skills. In this study, the researchers focus on students’ perception on the use of project-based learning using video as a method to promote students’ confidence in learning English. The study was conducted at the fifth semester of 2019-2020 academic year in English Education Department of a university in Bogor. The data was collected by qualitative approach with open-ended questionnaire and semi-structed interview for ten students as the respondents. This research found that the use of VPBL can facilitate student information processing faster, retain knowledge and remember materials accurately, encourage students to apply and develop their creativity in learning, promote students’ confidence in speaking skills and enhance speaking skills with their own understanding and creativity with the lesson. This research advises taking a broader view of students' self-confidence as the implication of video project-based learning in individual project is really needed.
Preparation of Future Teachers for the Formation of Information-Digital Competence of Primary School Age Students Through the Prism of a Competence-based Approach

The article is devoted to the actual problem of the professional training of future primary school teachers for the formation information-digital competence of primary school age students from the point of view of the competence-based approach. The urgency of the problem under study has been proved, taking into account the transformation processes taking place in society, in particular: digitalization, updating the content of education, the impact of the consequences of a global pandemic, etc. The essence of the concepts «competence», «competence-based approach», «information-digital competence» has been determined. The priority of the competence-based approach to the problem of professional training of future primary school teachers, including the formation of various competencies of primary school age students, is noted. The leading competencies that make up the information-digital competence of a primary school teacher have been determined (the ability to: navigate the information space, search and critically evaluate information, operate it in professional activities; effectively use existing and create (if necessary) new electronic (digital) educational resources, use digital technologies in the educational process) and a primary school age students (the ability: to understand the essence of information, analyze it, search in different sources and critically reflect on it; to use media for educational purposes; to effective communication on the Internet; to create and distribute various content on the network Internet).
ANALISIS REGRESI LINEAR DAN MOVING AVERAGE DALAM MEMPREDIKSI DATA PENJUALAN SUPERMARKET

Sales in supermarkets during the Covid 19 pandemic will change normally. Sales in normal times may always be crowded and a lot. It is different during a pandemic because several layers of society experience economic difficulties. Supermarkets that cannot solve this problem may have a loss or may have to close temporarily. From this background, we propose a predictive analysis of sales of electronic and health goods in supermarkets using Linear Regression and Moving Average methods. The data used in this research were taken from the Kaggle dataset website. The data consists of several types of goods, but we use the electronics and health categories. The purpose of this research to analyze the two algorithms in predicting electronic sales and health data. The tool used to help analyze is python. How to analyze the two algorithms with MSE (Mean Square Error) and RMSE. The results of the analysis show that the Moving Average method has the best performance as evidenced by the MSE and RMSE values ​​of electronic data which are 57,603, 7.59, health data are 50,489, 7,106. While the linear regression method prediction results on electronic data and health, the MSE and RMSE values ​​are 114.79, 10.71, 59.965, 7,744.
Project-based learning and its contribution in virtual education

At the present time, teaching is going through an experience at a global level, due to the Covid 19 pandemic. Students experienced a new way of learning, because of the health emergency; In this period, project-based learning was introduced as a contribution to virtual education, a methodology that was applied in the Sebastián Muñoz Educational Unit of the San Sebastián Parish of the Pichincha canton. The purpose of this work is to carry out an analysis of the contribution that this methodological strategy has had on high school students. The criterion that is intended to show is the marked acceptance that this significant learning has had, through a detailed analysis, starting from the management of the ordinary use platform Microsoft teams with which there is direct communication in the educational community. The qualitative method is proposed based on interpreting the data obtained from the objective set, using a direct survey of students and teachers. It was obtained as a result that the schoolchildren who make use of technological tools are precisely those who have efficient connectivity and that the educators who work the most applying the studied methodology are those who adequately handle the technological elements.
Real-Time Sign Language Detection and Recognition

Abstract: Sign language is one of the oldest and most natural form of language for communication, but since most people do not know sign language and interpreters are very difficult to come by we have come up with a real time method using neural networks for fingerspelling based American sign language. In our method, the hand is first passed through a filter and after the filter is applied the hand is passed through a classifier which predicts the class of the hand gestures.
Segmentation Of Wound By K-Means Clustering And Automatic Prediction Of Healing Time

A wound is any damage or break on the surface of the skin. Wounds can be injuries caused by burns, abrasions, skin tears, and surgical. They also occur because of underlying diseases. All these do not have the same healing time as it depends on the type of wound, its initial reaction, and the time taken to form new skin. Wounds generally heal within one to eight weeks depending on its nature. Non-healing types that do not heal within this period. A non-invasive type of wound assessment is proposed in this study. Wound images were collected and are color segmented by K-means clustering method. Then the parameters such as area, perimeter, length, and width are determined automatically by the code written using MATLAB software. Using these parameters an automatic prediction of healing time is estimated. The user had to load the image of the wound into the developed software and the prediction of healing in given terms of days. This has the potential to be developed as a mobile application so that it can be used by the health care professionals and laymen. This type of prediction reduces the anxiety of the suffering.
PENERAPAN DATA MINING DALAM MEMPREDIKSI PEMBELIAN SEMEN

When faced with a decision to determine one choice it is sometimes a very difficult thing, this can occur due to lack of knowledge and supporting data that exists. Supporting data is usually not too difficult to find because it can be taken from our own environment or on our own, because without realizing it around us it is basically a very large and large collection of data but sometimes it is not utilized because it cannot use it. For example, this can be seen in the Batam Saddhana Legenda Building Shop, in principle, the building store is the same as the other building shops. But the problem arising from shop owners was when determining the purchase of cement as the main ingredient in building construction. If you prioritize closeness or good relations with sponsors and sponsors' contributions to the store, the shop owner will not be difficult to determine which supplier to contact, but because you have to learn the tendency of the buyer which brand they prefer, the problem will be complicated. Because the shop owner must order products that are tailored to consumer demand, if this is not done then what will happen to the existing customers will be disappointed because the product they want does not exist, even the shop owner must put stock for a long time that can harm the shop owner own. By applying the data mining classification technique to effective cement purchases at the Saddhana Shop, it is hoped that later it can produce a knowledge that can be used for decision making in effective cement purchases from suppliers.
Improve Teacher Community Knowledge on Creating Instructional Video as Media Center based on Social-Network in SMPN 20 Jakarta

Due to Covid-19 pandemic, learning activities turn into online. Online learning requires a media that can maximize the delivery of material and thus students can understand independently. Teachers should improve their ability to use information technology and creativ to create a good learning video which is worth to upload and deserves copyright recognition. The method is to provide the mentorship. Mentorship purpose is to assist teachers to produce learning videos that are suitable being uploaded on YouTube and receive recognition of the copyrighted videos. As a result of these mentorships, the participants succeed in creating a learning video with a variety of material topics which can be uploaded in Youtube and receive recognition of copyright ownership. Thereafter, the school can manage independently and continue to enrich content of school's YouTube channel and increase the number of copyright for teacher's video works.&#x0D;
Impact of ICTs and emergency remote teaching on technical and technological education

Due to the national state of emergency, the restriction of mobility and the adoption of teleworking are established to fulfill the activities. The Higher Institutes take on the challenge of changing face-to-face classes to remote courses through virtual platforms. The purpose of this study is to investigate the impact of ICTs and emergency remote teaching in technical and technological education. Data was collected from 140 students from 2 institutes in the city of Ambato. The impact of online courses and the use of technological tools was investigated. As a result, the students of the technological careers consider this new modality of receiving classes a learning opportunity, despite the connectivity problems that occurred in the homes, they consider that the contribution of ICTs and remote teaching as part of education distance learning is important in their professional training.&#x0D; Keywords: Remote emergency teaching, ICTs, connectivity, education.&#x0D; References&#x0D; [1]O. Picardo, "COVID-19: Una mirada interdisciplinaria a la pandemia..," REDICCES, 2020.&#x0D; [2]H. M. Abdulrahim, "transformación digital de la educación superior saudita," Asian Journal of Distance Education, 2020.&#x0D; [3]T. Bates, " Informes de investigación sobre Covid-19 y Aprendizaje remoto de emergencia / Aprendizaje en línea," tonybates.ca, 2020.&#x0D; [4]M. Bond, K. Buntins, S. Bedenlier, O. Zawacki-Richter and M. Kerres, "Mapeo de la investigación sobre la participación de los estudiantes y la tecnología educativa en la educación superior: un mapa de evidencia sistemático," Revista Internacional de Tecnología Educativa en la Educación Superior, p. 7, 2020.&#x0D; [5]S. Alqabbani, A. Almuwais, N. Benajiba and F. Almoayad, "Preparación para el cambio de emergencia al aprendizaje remoto durante la pandemia de COVID-19 entre los profesores universitarios," E-Learning y medios digitales, vol. 5, no. 460-479, 2020.&#x0D; [6]P. Bawa, "Aprendizaje en la era del SARS-COV-2: Un estudio cuantitativo del desempeño de los estudiantes en la era de la enseñanza remota de emergencia," Computers and Education Open , vol. 1, 2020.&#x0D; [7]S. J. G. Merchán, "Las TIC en la educación superior durante la pandemia de la COVID-19.," Las TIC en la educación superior., 2017.
Random Perturbation Order Preserving Distribution Encryption

Cloud computing services have to gain fast awareness by many organizations because of their cost-effectiveness, but they are faced with many security issues in protecting client business data in the current technological generation. Order-preserving encryption (OPE) is a very important technique for databases, and cloud storage encryption executes range queries efficiently, but regrettably, limited systems have stood to accomplish confirmable security. However, these schemes leak the distribution of repeated plaintext values. This paper presents a random perturbation distribution scheme (RPDS), which is secure and does not leak the distribution of repeated plaintext values. Our technology is based on Popa’s mutable order preserving encoding (mOPE) and storage-aware order-preserving encoding (stOPE). We supported RPDS with an insertion algorithm in which we added a random bit value to handle a repeated plaintext value that stops the server from recognizing repeated values, and we developed a proof to show the correctness of its syntax. This paper suggests that the arbitrary collision probability and proof show that collisions can only occur with a lower probability in the RPDS. This paper presents proof of the safety of the RPDS and its applicability, usability, and functionalities. Finally, we compared the RPDS with existing OPE schemes and provided an experimental result for the practicality of the RPDS.
INTANGIBLE HERITAGE TOURISM: THE NEPALESE DIASPORA IN MALAYSIA

Who are you? Where are you from? How did you end up in Malaysia? These are the common questions that the Nepalese community here in Malaysia has had to respond to many a time. We cannot blame the naïve attitudes that our Malaysians possess but it is a matter of regret that most Malaysians from other ethnic groups are not aware of the Nepalese community here, simply because there has been no exposure to their presence. The intangible heritage of one’s ethnicity and culture play a crucial role in pointing out one’s origin, identity and existence. In the context of tourism, it is essential to sustain this minority group as it may arouse the interest of the Nepalese not only in their motherland but also around the globe. Tourists will be interested to learn about how the Nepali diaspora is able to preserve their unique traditions despite the influence of urbanisation and other culturalisations. The authors would apply the functionalist approach to discuss how the intangible tourism not only benefits the nation’s economy but also functions to prevent the extinction of the Malaysian Nepalese customs. The research questions that are posed for this paper are as follows i) How do the Nepalese Malaysians sustain their intangible heritage? ii) What measures are this minority group taking to safeguard their tradition? and iii) In what way will the preservation be able to benefit the country and themselves? In-depth interviews with 15 informants will be conducted along with consensual audio-recording. Transcriptions of the interviews will analyse the thematic patterns coupled with peer checking to reduce bias for the data to be credible and trustworthy. The outcome of this research will be presented.
Discovering Interpretable Topics by Leveraging Common Sense Knowledge

Traditional topic modeling approaches generally rely on document-term co-occurrence statistics to find latent topics in a collection of documents. However, relying only on such statistics can yield incoherent or hard to interpret results for the end-users in many applications where the interest lies in interpreting the resulting topics (e.g. labeling documents, comparing corpora, guiding content exploration, etc.). In this work, we propose to leverage external common sense knowledge, i.e. information from the real world beyond word co-occurrence, to find topics that are more coherent and more easily interpretable by humans. We introduce the Common Sense Topic Model (CSTM), a novel and efficient approach that augments clustering with knowledge extracted from the ConceptNet knowledge graph. We evaluate this approach on several datasets alongside commonly used models using both automatic and human evaluation, and we show how it shows superior affinity to human judgement. The code for the experiments as well as the training data and human evaluation are available at https://github.com/D2KLab/CSTM.
Peningkatan Aktivitas Belajar IPS Siswa Melalui Model Pembelajaran Kooperatif Tipe Number Heads Together (NHT) di Kelas VII.4 SMP Negeri 5 Pariaman

The problem in this study is the low learning activity of students in social studies subjects obtained by class VII.4 SMP Negeri 5 Pariaman City, this is due to the learning methods and student learning methods that are not appropriate. The purpose of this study was to obtain information about improving students' social studies learning activities through the Numbered Heads Together (NHT) cooperative learning model in Class VII.4 SMP Negeri 5 Kota Pariaman. The research was conducted in Class VII.4 SMP Negeri 5 Kota Pariaman. Types of classroom action research (CAR). The research subjects were class VII.4 SMP Negeri 5 Kota Pariaman with 31 students consisting of 13 female students and 18 male students. The research procedure for each cycle is planning, implementation, observation and reflection. The research instruments were observation, questionnaire, pretest, posttest, and daily notes. Data analysis technique is descriptive analysis. The results showed that the activity of asking questions in the first cycle was 67.7%, and in the second cycle it was 81.7%, which means an increase of 14.0%. The activity of answering in the first cycle is 61.1%, and in the second cycle it is 77.4% which means an increase of 16.1%. The response activity in the first cycle is 46.3%, and in the second cycle it is 64 .5% which means an increase of 18.2%. The activity of giving advice in the first cycle is 37.7%, and in the second cycle it is 59.1%, which means there is an increase of 21.4%. So the study concluded that the learning process using the Numbered Heads Together (NHT) cooperative learning model can improve the social studies learning activities of class VII.4 students of SMP Negeri 5 Pariaman City.