Reviewerly/exHarmony huggingface dataset:
La educación remota tras el cierre de escuelas como respuesta internacional a la Covid-19

The pandemic caused by the Covid-19 virus during 2020 has put world education systems in check after the almost global schools’ closure. The proposals from the international community to preserve the right to education have been based on, for the majority, remote or online education. However, an assessment of the reality of the countries and regions is necessary to give a contextualized response to the needs and possibilities of each scenario. In this purpose, this work aims to: study the response of international organizations to the Covid-19 crisis in education; analyze the infrastructures, resources and real competences of the educational centers and of the teaching staff to develop a remote education; and to synthesize the main national policies to give continuity to the right to education in the face of school closure. In order to carry out the analysis according to the information that has been published since the beginning of the Covid-19 pandemic outbreak, data and inventories of measures published by different institutions such as UNESCO, OECD, World Bank, UNICEF and Cotec Foundation were selected. The results have found that regions that concentrate high-income countries are prepared to offer remote education, while middle-income countries find barriers to make remote education possible, and low-income countries must rely on other mass media and communication resources.
RANCANG BANGUN SISTEM PAKAR MENDIAGNOSA PENYAKIT OBSESSIVE COMPULSIVE DISORDER DENGAN METODE DEMPSTER SHAFER

Anxiety is a normal reaction to stress and can be beneficial in some situations. It can alert us to dangers and help us prepare and pay attention. Anxiety disorders differ from normal feelings of nervousness or anxiousness and involve excessive fear or anxiety. Anxiety disorders can cause people to try to avoid situations that trigger or worsen their symptoms. There are several types of anxiety disorders, including Obsessive-Compulsive Disorder. Obsessive-Compulsive Disorder (OCD) is a disorder in which people have recurring, unwanted thoughts, ideas, or sensations (obsessions) that make them feel driven to do something repetitively (compulsions). Repetitive behaviors, such as hand washing, checking on things, or cleaning, can significantly interfere with a person’s daily activities and social interactions. This Expert system which implements Dempster Shafer Method can help anyone to make sure that they have OCD and need psychologist help to prevent this distress from becoming worst.
COVID-19, Preparedness, and Technology:

Technology has become even more important to ensure that the needs of individuals with disabilities and others with access and functional needs (AFN) are met.This is especially apparent in the Delaware Office of Preparedness' planning, mitigation, and response efforts throughout the Coronavirus disease 2019 (COVID-19) pandemic.The office, based within the Delaware Department of Health and Social Services (DHSS), Division of Public Health (DPH), had already integrated multiple technologies into preparedness planning, mitigation, and recovery efforts prior to the pandemic.It uses the CMIST framework (Communication, Maintaining Health, Independence, Safety/Support Services/Self-Determination, and Transportation) which encompasses meeting the needs of individuals with disabilities and others with AFN.The framework helps identify individuals' needs before, during, and after an incident.
외국인 유학생의 서술형 답안 분석 및 교육적 제언

In this paper, the genre characteristic of the narrative type of answer was examined through the review of the previous research, and the narrative type of the foreign student was analyzed based on this. This is basically to provide basic data for academic writing education. Analysis was made on two aspects of knowledge of major and genre, and major knowledge was used as the criterion of analysis. Genre knowledge is composed of four aspects: structure, style, cohesion and cohesiveness. As a result of the analysis, foreign students understood the knowledge of the major, but did not explain it in detail. In terms of genre knowledge, it is rare to have all of the macroscopic structures required by the problem. In the case of style, the form of the predicate was appropriate, but the use of colloquial expressions was more frequent, and there were few cases where the propositions were presented in a compact manner using limited phrases. In terms of binding structures, the directive connection expressions of ‘yi’ type are not properly used. Even in the case of coherence, discourse markers were not used properly, and expressions of opinions were not properly used.
Flow-based SVDD for anomaly detection

We propose FlowSVDD -- a flow-based one-class classifier for anomaly/outliers detection that realizes a well-known SVDD principle using deep learning tools. Contrary to other approaches to deep SVDD, the proposed model is instantiated using flow-based models, which naturally prevents from collapsing of bounding hypersphere into a single point. Experiments show that FlowSVDD achieves comparable results to the current state-of-the-art methods and significantly outperforms related deep SVDD methods on benchmark datasets.
Implementation of the Fuzzy Topsis Algorithm in the Scholarship Recommendation System

The scholarships given to the University of Muhammadiyah Sidoarjo include outstanding scholarships (PPA) and underprivileged scholarships (BBP). During the selection made by the university which has 9 faculties throughout the university by manual method. Although there are requirements and files that must be submitted during registration as a potential recipient, this still supports the objectivity of the selection being carried out. For this reason, it is necessary to have an innovation digitally in the selection process for this scholarship recipient. Selection system that was built practically, quickly, and accurately. For this reason, it is necessary to support the support of a client-server application and also the Fuzzy TOPSIS algorithm to determine the results of calculations and rankings based on the calculation value of each student who has been registered as a scholarship recipient. In this study, an application that is a client server has been made, where students can enter prospective scholarship recipients online. The application made has implemented the TOPSIS Fuzzy Algorithm for sorting or ranking. So that this selection work is considered faster, easier and has objective results based on the system. From the applications that have been made, 1,000 students have been tested with the composition of quotas on PPA scholarships as many as 370 and 875 for BBP scholarships. Of the 1000 data on registered students, 239 met the top ranking requirements which were declared PPA scholarship recipients. As well as the top 793 students as BBP scholarship recipients, a letter of recommendation will be printed automatically based on the information the student has received as a scholarship candidate. This trial application recommendation is for ± 3 minutes. With an average value of 77.60% satisfactory..
Medical Data Security and Privacy using Released Signature Schemes- Flexible Release Control

At the global level, various enterprises, public agencies, and governments have amassed vast amounts of digital data, thereby creating humungous amounts of knowledge-based applications. In view of the enormous potential thrown up by such innovative applications, the global business has witnessed a surge in demand in data collection. When huge amounts of data that are varied and sensitive in nature, are published and exchanged among various persons and entities, maintaining data security and personal privacy becomes a really challenging task. In particular, the patient information and health data leaks are highly potential for pharma companies for targeted marketing. It is very essential to provide security to the collected medical document. In this research article, we propose a novel technique called Released Signature Schemes and Flexible Release Control (RSS-FRC) to safeguard the documents both in transit and in rest. The document data is encrypted using image-based steganography technique and stored in cloud for effective retrieval process.
“Minus Stroke-operation” and its Declarative Aspects

The article considers the capacities of “Minus stroke-operation”, which was introduced as the inverse of “stroke-operation” (dereferencing a pointer).Addressing higher ranks Address Programming is based on “stroke-operation” and, in contrast to the dereference (or indirection) operator, allows you to specify the rank of addressing, which can be both an integer value or an expression of integer type. The paper gives an example of using a “stroke-operation” to obtain the address of an arbitrary element of a linear single-linked list by its sequence number. The dereference operator of modern programming languages does not allow to make it and demands implementation with use of a cycle.“Minus stroke operation” operation is not used in imperative high-level programming languages, be- cause it belongs to the declarative paradigm of programming.Address programming language has the dynamic types of data, which are based on “minus stroke-operation”.This article provides some specific examples of the use of “minus stroke-operation” in the Address Programming language and compares the capabilities of this operation with some modern declarativeprogramming tools. From the above examples it follows the universal power of “minus stroke-operation” as a tool of declarative programming.The paper presents an example of tree representation using “minus stroke-operation”. In Address Programming, you can represent trees by defining only the vertex parents. The result of applying to the address of the node “minus the stroke-operation” is a set of sons of this node. An example of a tree representation in the Address Programming Language with parent-only indication is given.The Address Programming Language is multi-conceptual and combines the concepts of imperative and declarative programming. The basis of the declarative concept of Address Programming (1955) is “minus stroke-operation”.Manuscript received 11.06.2020
Real and Imaginary Part of Conductivity of Strongly Interacting Bosons in Optical Lattices

We calculate the conductivity of strongly interacting bosons described by the Bose-Hubbard model in a twodimensional lattice in controlled gauge potential acting as a uniform external magnetic field.In such scenario, two types of conductivity can be distinguished: intra-and inter-band.The interband contribution, usually omitted in analysis of multiband systems, appears to have a crucial role in the transport properties as its values are a few orders of magnitude greater than the intraband one.
Frequency-based Discrimination in Fast Periodic Visual Stimulation

Humans capitalize on statistical cues to discriminate fundamental units of information within complex streams of sensory input. We sought neural evidence for this phenomenon by combining fast periodic visual stimulation (FPVS) and EEG recordings. Skilled readers were exposed to sequences of linguistic items with decreasing familiarity, presented at a fast rate and periodically interleaved with oddballs. Crucially, each sequence comprised stimuli of the same category, and the only distinction between base and oddball items was the frequency of occurrence of individual tokens within a stream. Frequency-domain analyses revealed robust neural responses at the oddball presentation rate in all conditions, reflecting the discrimination between two locally-emerged groups of items purely informed by token frequency. Results provide evidence for a fundamental frequency-tuned mechanism that operates under high temporal constraints and could underpin category bootstrapping. Concurrently, they showcase the potential of FPVS for providing a direct neural measure of implicit statistical learning.
Learning Word Meanings Using Joint Attention and MLDA in Environments with a Plurality of Objects

Humans can learn word meanings by associating objects with words even in an environment with a plurality of objects by using joint attention, which is an ability to detect a target object that others pay attention to. In this paper, we propose a method for robots to learn word meanings using joint attention and co-occurrence of objects and words, which is modeled by multimodal latent Dirichlet allocation (MLDA). A target object is detected by using MLDA and joint attention, and MLDA is updated by the detected object. This updated MLDA can improve the accuracy of the target object detection.
Lecture Evaluation Using Face Emotion Recognition

In this system we proposed “Lecture Evaluation Using Face Emotion Recognition”. In institute many students are not mentally attend lectures, unfortunately they don’t get any concepts of that lecture. So we can use OpenCV technology and Convolution Neural Network (CNN) Machine Learning Algorithm for this implementation of system. The goal of this study is to develop the recognition of lecture evaluation for more accuracy and satisfaction. Also prevents recognition of lectures caused by lack of face representation.
Will Jeff Bezos release 'Apprentice' footage after Amazon acquisition of MGM?

The Amazon acquisition of MGM may mean a potentially uncomfortable situation for former President Donald Trump thanks to alleged outtakes from “The Apprentice now being in the hands of Jeff Bezos.
Students’ Difficulties in Answering the Written Expression Section of the TOEFL Test at English Study Program of State Islamic University of SUSKA Riau

TOEFL test is one of the requirements for the students of English Study Program of State Islamic University of Sultan Syarif Kasim Riau (UIN Suska Riau) to finish their study at S1 Degree. Based on the researcher’s observation, most of the students did not pass the TOEFL Test. The students followed the test for several times till they reached the passing grade. It seemed that the students got difficulties in answering the TOEFL Test. So, in this research the researcher focused on analyzing the students’ difficulties in answering the Written Expression section of the TOEFL test. The aims of this research were to identify the categories of items in the Written Expression section of the TOEFL test which were difficult for the fourth semester students of English Study Program UIN Suska Riau, and to identify which categories of items that were easy for the students. This research was a quantitative research. The researcher analyzed the categories of items tested in TOEFL test, especially in the Written Expression section. There were 12 categories of items tested in the Written Expression section of the TOEFL test based on Longman Preparation Course for the TOEFL Test by Deborah Phillips (2000: 144-221). The categories consisted of subject-verb agreement, parallel structure, comparative and superlative, the use of the verbs, the forms of the verbs, passive verbs, nouns, pronouns, adjectives and adverbs, articles, prepositions and usages The result of the research showed that all of the categories of items were difficult for the students. None of the categories of items were easy for the students. The most difficult category for the students was usages. So, in general, the students extremely got difficulties in answering the Written Expression section of the TOEFL test.
Adapting Segmentation Networks to New Domains by Disentangling Latent Representations.

Deep learning models achieve outstanding accuracy in semantic segmentation, however they require a huge amount of labeled data for their optimization. Hence, domain adaptation approaches have come into play to transfer knowledge acquired on a label-abundant source domain to a related label-scarce target domain. However, such models do not generalize well to data with statistical properties not perfectly matching the ones of the training samples. In this work, we design and carefully analyze multiple latent space-shaping regularization strategies that work in conjunction to reduce the domain discrepancy in semantic segmentation. In particular, we devise a feature clustering strategy to increase domain alignment, a feature perpendicularity constraint to space apart feature belonging to different semantic classes, including those not present in the current batch, and a feature norm alignment strategy to separate active and inactive channels. Additionally, we propose a novel performance metric to capture the relative efficacy of an adaptation strategy compared to supervised training. We verify the effectiveness of our framework in synthetic-to-real and real-to-real adaptation scenarios, outperforming previous state-of-the-art methods on multiple road scenes benchmarks and using different backbones.
Hate speech e rap

In what follows I try to show the connections between hate speech and rap music. The main thesis of this article is twofold: on one hand I claim that hate speech is a useful way to better understand rap music. On the other hand, the use of the hate speech made by the rappers of the so called Golden age helps us to show some aspects of the intricate relationship between violence and language. The most prominent of which is the ambivalence of aggressive speech.
SPEECH ACTS ANALYSIS OF PRE-SERVICE TEACHERS AND STUDENTS AT SMK NEGERI 1 SINGARAJA

This research aims to analyze the kind of speech act used by pre-service teachers and students of SMK Negeri 1 Singaraja in WhatsApp as learning media. Investigate the most dominant speech act used by pre-service teachers and students, and analyze the kind of instructional function used by the pre-service teachers. The data were analyzed using descriptive qualitative. The subject of this research is the pre-service teacher and students in SMK Negeri 1 Singaraja. The data were collected through observation and interview. The data from the observation was collected using an observation sheet which developed from Searle’s (1969) theory of speech act and Johnson’s (1997) theory of instructional function. The interview has been done semi-structured using an interview guide. The result shows that the pre-service teacher use four speech act in the learning activity; representative, directive, commissive, and expressive. The pre-service teacher uses directive speech to act dominantly to make the students active in the learning process. Meanwhile, the students use four speech act, including representative, directive, commissive, and expressive. The students use representative in dominant to be active and getting feedback in the learning activity. The kinds of the instructional function used by the pre-service teacher are control, organize, and motivational. It was found that the directive speech act functioned as control. Commissive functioned as organize. And expressive as motivational function
Shared Models and Open Infrastructures for the smart City Internet of Things based on the Semantic Web

Contemporary cities face many challenges: energy, ecological, demographic or economic. To answer this, technological means are implemented in cities through the use of sensors and actuators. These cities are said to be smart. Currently, smart cities are operated by actors who share neither their sensor data nor access to their actuators. This situation is called vertical: each operator deploys its own sensors and actuators and has its own IT infrastructure hosting its applications. This leads to infrastructure redundancy and ad-hoc applications to oversee and control an area of the city. A trend is to move towards a so-called horizontal situation via the use of an open and shared mediation platform. Sensor data and access to the actuators are shared within this type of platform, allowing their sharing between the different actors. The costs of infrastructure and development are then reduced. This work is part of such a context of horizontalization, within an open and shared platform, in which we propose: 1) a layer of abstraction for control and supervision of the city, 2) a competition control mechanism handling conflict cases based on the RDF (Resource Description Framework) semantic Web standard, 3) a coordination mechanism promoting the reuse of actuators using ontology, 4) an implementation of our work by a proof of concept. The abstraction we propose is based on models from reactive systems. They aim to be generic and represent the invariant of the smart city: the physical elements. They allow applications to control and supervise the city. To facilitate the development of applications we standardize the interface of our models. Since these applications may have real-time constraints, especially those that have control objectives, we propose to take advantage of the distributed architecture of this type of platform. Given the sharing of the actuators, we have identified that conflicts can arise between applications. We propose a mechanism of competition control to deal with these cases of conflicts. We have also identified that a coordination mechanism must be offered to applications wishing to perform atomic control operations. Such a mechanism promotes the reuse of the actuators present in the city. Finally, we implemented our proposals around a proof of concept, including several use cases, to demonstrate our work.
Insights Procured From the Recommendation System Based On User Reviews

With the dawn of the 21st century we saw an unprecedented influx of data. It is only in the past decade that ourprocessing capabilities have caught up to being able to utilize the huge amount of data with several algorithms to beuseful. Product reviews and ratings are popular tools to support buying decisions of consumers. These tools are alsovaluable for online retailers, who use rating systems in order to build trust and reputation in e- commerce. Manyonline shops offer quantitative ratings, textual reviews or a combination of both. The number of reviews on Amazonhas grown significantly over the years. Customers who made purchases on Amazon provide reviews by rating theproduct from 1 to 5 stars and sharing a text summary of their experience and opinions of the product. This researchaims to provide statistical insights into Amazon product reviews, examine their helpfulness in recommendingproducts, and suggest a new way to predict the helpfulness score of the user reviews
Parents Perspective on Translation Quality of Children Bilingual Storybooks

Parents believe that bilingual storybooks for children can be used as media for children in learning English. However, not all bilingual books have good quality in their translation. This research aims to know the parents’ perspective on the quality of translation in children’s bilingual storybooks. This is descriptive quantitative research. The data were gathered by using a questionnaire through implementing Google Form for 52 parents as respondents. Some considerations in choosing the respondents were applied, such as the parents have kindergarten and elementary schools level students and the parents use bilingual storybooks at home. The storybooks in this research consist of English and Indonesia, with Bahasa Indonesia as the source language and English as a target language. The research was conducted from April to June 2021. After being collected, the data are presented as the data display stage, and the researchers conclude. The result shows that there are 48 parents of 52 parents who consider bilingual storybooks as media. Fifty parents also buy bilingual storybooks for their children. Among the respondents, 37 parents check the language of the books, and 15 parents do not match. Forty-two parents believe that the books are qualified for learning English. There are five considerations for parents in buying books: story, picture, language, price, and publishers/authors.