Reviewerly/exHarmony huggingface dataset:
IOT Based Video Surveillance System

In present scenario, the security concerns have grown tremendously. The security of restricted areas such as borders, is of utmost importance, in particular with the worldwide increase of military conflicts, illegal immigrants, and terrorism over the past decade. Monitoring such areas rely currently on technology and manpower, however automatic monitoring has been advancing in order to avoid potential human errors that can be caused by different reasons. The purpose of this work is to design a surveillance system which would detect motion in a live video feed and record the video feed only now where the motion was detected, also to track moving objects based on background subtraction using video surveillance. The moving object is identified using the image subtraction method through machine learning based Algorithms (i.e., like keras and OpenCV). This work is based on AIOT (Artificial Intelligence of Things which is a combination of Artificial Intelligence and Internet of Things). In addition, face detection and Intruder Alert through notification is proposed in this work.
English Education Master Students' Perceptions on Metacognitive Strategy in Academic Reading

Abstract&#x0D; Metacognitive strategy can bring about varied fruitful influential impacts toward academic reading enterprises endured by graduate university EFL learners. In this present small-scale qualitative study, the researcher aimed to profoundly investigate English Education Master Students’ perceptions on metacognitive strategy in academic reading. To achieve this research objectivity, this study employed a qualitative content analysis method to obtain more specific portrayals out of the gathered data. 10 online Likert-scale questionnaire items were distributed to 18 English Education Master Students, batch 2019, Sanata Dharma University, Yogyakarta. After obtaining the intended data from this first research instrument, the researcher also planned to make use of 5 open-ended written narrative inquiry questions to be responded to by 3 randomly selected interviewees derived from similar research samplings. Two major-specific themes were revealed namely: (1) Metacognitive strategy has successfully promoted more positive academic reading behaviors and (2) Metacognitive strategy allowed graduate university EFL learners to achieve more fruitful academic reading outcomes. The main conclusion of these aforementioned findings is the internalization of metacognitive strategy at the beginning of academic reading dynamics is indispensably crucial in which graduate university EFL learners can potentially transform into more mature, strategic, critical, and proficient L2 academic readers.&#x0D; Keywords: Metacognitive strategy, academic reading, students’ perceptions&#x0D;
DEVELOPING HOSPITALITY E-MODULE TO IMPROVE HOTEL EMPLOYEES ENGLISH SKILL

Abstract&#x0D; The purpose of this research was to develope Hospitality e-modul for hotel, especially for Grand Zuri Hotel Padang employees. The type of this research is Research and Development toward designing and developing e-modul for teaching and learning at Grand Zuri Hotel Padang. It is conducted for the employees of the hotel which participates for English class. In additon, there were 60 (sixty) employees involved in English teaching and learning process at Grand Zuri Hotel Padang which divided into two meeting. In fact, the result of the study shows that: (1) current analysis about teaching and learning process of Grand Zuri Hotel Padang related to several information of the previous teaching and learning process where the learners are in pre-intermediate level and a meeting last in 120 minutes, but there was no modul for the learners; (2) need analysis showed that the dominant skill needed by the learners based on the questionnaire were listening and speaking, generally the ability of the learners in English are good, and there were 19 (nineteen) topics that could be choosen by the learners; (3) in designing and developng e-modul, there were 14 (fourteen) topics in the modul and there was also a syllabus of the modul, also the activity in the e-modul consist of the introduction about the topic, expressions, reading, paired practice, chit chatting, and worksheet; (4) to validate the modul, there were 4 (four) validators involved, General Manager of Grand Zuri Hotel Padang (Surni Yanti,S.Pd), two lecturers from Hotel Management Study Program at Universitas Negeri Padang, and experience trainer for English in hotel industry. In conclusion, based on the findings, there should be attractive and easy to understand materials or e-modul for the employees of Grand Zuri Hotel Padang; (5) in order to know the effectifity of e-modul in teaching and learning there was limited try out in Grand Zuri Hotel. Based on the result of the try out, there is a conclution that the material which is prepared for the employees were needed in teaching and learning process , such as handout, which is made by easy and understandable format to be learned.&#x0D; &#x0D;
THE EXPLORATION OF UNIVERSITY STUDENTS’ PERCEPTIONS OF USING TECHNOLOGY IN ACADEMIC WRITING CLASSROOMS

This study explores university students’ perceptions of the usefulness of technology, the frequency of using technology, a technology tool that the students like the most, and perceptions if the technology they like the most helps them meet the characteristics of good writing. To meet the research goals, sixty-seven undergraduate students of a private university in Indonesia were asked to respond to a close-ended online questionnaire that surveyed their perceptions of using technology in their academic writing classroom. The findings indicate that an online dictionary, Google search engine, and Google translate are the technology that the students frequently use and consider useful to enhance their writing. Further, an online grammar checker is found to be a technology tool that the students like the most, and they feel that the tool can help them meet the characteristics of good writing. Recommendations for teaching practices using the technology and directions for further research are discussed.
Learning to Take Cover on Geo-Specific Terrains via Reinforcement Learning

This paper presents a reinforcement learning model designed to learn how to take cover on geo-specific terrains, an essential behavior component for military training simulations. Training of the models is performed on the Rapid Integration and Development Environment (RIDE) leveraging the Unity ML-Agents framework. We show that increasing the number of novel situations the agent is exposed to increases the performance on the test set. In addition, the trained models possess some ability to generalize across terrains, and it can also take less time to retrain an agent to a new terrain, if that terrain has a level of complexity less than or equal to the terrain it was previously trained on.
Humanities teachers in Russian universities: the crisis of the professional group or adaptation to the "new normality"?

The article examines the characteristics of the professional identity of humanitarian teachers working in Russian universities, the peculiarities of their behavior in the context of global and national changes in higher education. The strengthening of the unstable position of the professional group "university teacher of social and humanitarian profile" led the authors to the need for a new large-scale study, which was based on the theory of professional identity, social adaptation, as well as on the author's empirical research carried out ten years ago. The traditional appointment of university teachers associated with the roles of a teacher, scientist, educator, mentor in modern conditions has come into conflict with the functions of providing and promoting educational services dictated by the inclusion of higher education in market relations. The purpose of our work is aimed at identifying the resulting indicators of values and behavior of university humanities teachers, establishing the nature of their professional identity. Functional-role, axiological and communicative approaches were used in the study, which made it possible to link new social, cultural, and political processes with the implementation of the functions and roles of teachers of the humanities. Based on the author's definition of the professional identity of university teachers, including the awareness and living of the subjects of their involvement in the group, readiness to implement the qualities and behaviors demanded by the university-employer, the authors analyzed the empirical data of an interregional sociological survey and came to scientific conclusions within the framework of the goal. The resulting indicators of values and behavior of humanities teachers working in Russian universities indicate that in their group consciousness there was a reassessment of the functions performed, which led to professional re-identification: a gradual departure from the role of "university intelligentsia" and the development of the role of "intellectuals", for whom the main quality is the development of professionalism and its advantageous offer. The traditional and previously sought-after qualities of teachers of the humanities cycle - intelligence, citizenship, social activity, mentoring, justice - are being pushed to the periphery of the consciousness of teachers of the socio-humanitarian cycle of the Russian higher school.
TO RESEARCH THE RELATIONSHIP BETWEEN THE PERCENTAGE OF OVERSPEED OF COLONOSCOPY WITHDRAWAL AND THE ADENOMA DETECTION RATE

Aims Colonoscopy can reduce the incidence of colorectal cancer by detecting and resecting precancerous lesions such as adenomas. The existing evidence shows that the quality of colonoscopy varies from different endoscopists and the adenoma detection rate varies from 7.2% to 52.3% . Therefore, the purpose of this study was to research the relationship between the percentage of overspeed of colonoscopy withdrawal and the adenoma detection rate through prospectively collected colonoscopy videos, so as to guide the practice of endoscopists and improve the adenoma detection rate.
An experimental investigation of the deep double-&lt;em&gt;o&lt;/em&gt; constraint in Japanese causative constructions

The double-o constraint (DoC) (Harada, 1973) was proposed to explain the ungrammaticality of having two or more noun phrases (NPs) marked by the accusative case marker -o in a single Japanese clause. Poser (2002) argued for two types of DoCs: the surface double-o constraint (SDoC) and the deep double-o constraint (DDoC). The DDoC prohibits two accusative arguments in a single argument structure and is not affected by the number of accusative case markers on the surface. The evidence is from Japanese causatives. Our study conducted an experiment to test the DDoC and found that it may not exist.
Representation and Aggression in Digital Racial Conflict: Analyzing Public Comments during Live-Streamed News of Racial Justice Protests – ERRATUM

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Social media use for medicine information seeking behaviour among undergraduate students via the prism of the innovation decision process

Purpose: To assess the level of adoption of social media for medical information-seeking behaviour (MISB) among students of Obafemi Awolowo University, Nigeria based on the prism of Roger’s innovation-decision process theory.&#x0D; Methods: The study was a cross-sectional survey of 429 students. Primary data were collected with a set of questionnaires comprising two main sections which sought to elicit information, first, on the adoption level of social media for medicine information employing a Likert-type scale with five alternative responses and weighting scores of 1 - 5, and second, on use of social media for MISB on a dichotomous (yes/no) scale. Collected data were analysed with descriptive and inferential statistics at 5 % level of significance.&#x0D; Results: The results show that adoption of social media tools for sourcing medicine information among the students was at a persuasion level (MWA 2.10) and correlates with the finding on the dichotomous scale that they were barely (28.7 %) using the tools.&#x0D; Conclusion: Social media for medicine information-seeking among students of OAU have not been effectively adopted and their use is infrequent. Furthermore, studies on the use of social media may be better assessed using the innovation-decision theory process model rather than a simple dichotomous scale.
Recent development in speech recognition systems for Indian regional languages

Mother Language is the important means of communication and speech is its main medium. In human machine interface speech technologies are vastly used and has unlimited uses. Advances of ASRs in English language have lead to the evolution of the Speech recognition systems in other languages also. This paper focuses on the development of SRSs for the Indian regional languages. India is well known for its national integrity. Unity in diversity can also be observed in India in terms of languages used for communication. Many researchers developed Speech recognition systems for different Indian languages. In this paper we provide an overview of recent research works on SRSs for various Indian Languages.
BIALL Covid-19 ‘State of the Nation’ Survey 2021: an Introduction

Abstract In Autumn 2021 the British and Irish Association of Law Librarians (BIALL) carried out a follow-up survey to the May 2020 ‘ Covid-19 Industry Survey '. BIALL President, Catherine Bowl, gives an overview of the findings of ‘ State of the Nation ' survey which was published in December 2021. The results of the survey are to be found on the pages that follow this introduction.
Conversion of Sign Language Video to Text and Speech

Abstract: Sign Language recognition (SLR) is a significant and promising technique to facilitate communication for hearingimpaired people. Here, we are dedicated to finding an efficient solution to the gesture recognition problem. This work develops a sign language (SL) recognition framework with deep neural networks, which directly transcribes videos of SL sign to word. We propose a novel approach, by using Video sequences that contain both the temporal as well as the spatial features. So, we have used two different models to train both the temporal as well as spatial features. To train the model on the spatial features of the video sequences we use the (Convolutional Neural Networks) CNN model. CNN was trained on the frames obtained from the video sequences of train data. We have used RNN(recurrent neural network) to train the model on the temporal features. A trained CNN model was used to make predictions for individual frames to obtain a sequence of predictions or pool layer outputs for each video. Now this sequence of prediction or pool layer outputs was given to RNN to train on the temporal features. Thus, we perform sign language translation where input video will be given, and by using CNN and RNN, the sign shown in the video is recognized and converted to text and speech. Keywords: CNN (Convolutional Neural Network), RNN(Recurrent Neural Network), SLR(Sign Language Recognition), SL(Sign Language).
Towards Query Efficient and Derivative Free Black Box Adversarial Machine Learning Attack

While deep learning has shown phenomenal success in many critical applications such as in autonomous driving and medical diagnosis, it is vulnerable to black box adversarial machine learning attacks.Objective of these attacks is to mislead a classifier in making mistakes.Hard Label attacks are those in which an adversary has access only to the top-1 prediction label and has no knowledge about model parameters or gradient loss.Secondly, for security concerns, the number of model queries that an attacker can perform for evaluation are restricted.In this paper, we propose a novel nature-inspired optimization algorithm for generating adversarial examples.Proposed algorithm is derivative-free, meta-heuristic algorithm.It searches for optimum adversarial examples in high-dimensional image space using simple arithmetic operations inspired by Brownian motion of molecules in fluids and gases.Experiments with CIFAR-10 image dataset yielded encouraging results with a query budget of less than 1000 and with a minimal distortion to original image.Its performance was determined to be comparable and exceeded in some cases compared to previous state of the art attacks.
Implementasi Peraturan Menteri Pendidikan Dan Kebudayaan Republik Indonesia Nomor 8 Tahun 2020 di Sekolah Menengah Atas Negeri 8 Medan

Regular School Operational Assistance (BOS) is a central government program to provide funding for operational costs for schools sourced from non- physical special allocation funds, in its implementation technically experiencing problems, including slow BOS management, misuse of the BOS budget, incomplete accountability reports and late data synchronization. SMA Negeri 8 is one of the school as recipients of the Regular School Operational Assistance in the city of Medan.This study aims to identify and analyze the policy implementation of the Regulation of the Minister of Education and Culture of the Republic of Indonesia Number 8 of 2020 concerning the Technical Guidelines for Regular School Operational Assistance at SMA Negeri 8 Medan and to find out what factors are obstacles/ obstacles in the implementation of the Regulation of the Minister of Education and Culture Number 8 Tahun 2020 regarding Regular School Operational Assistance Technical Guidelines.The research method used is a descriptive method with qualitative approach, with the research informants being the Regular BOS Team at SMA Negeri 8 Medan.The theory used is George C Edward III’s public policy theory. The influencing factors are communication, resources, disposition and bureaucratic structure. The results of this study indicate that The implementation of the regulation of the minister of education and culure of the Republic of Indonesia Number 8 of 2022 has been carried out but not yet with optimal results. The succes of policy implementation.
Cessation implicature and simultaneous readings

Altshuler &amp; Schwarzschild (2013a, 2013b) provide an account of the simultaneous reading of past-under-past sentences in English (called the sequence-of-tense (SOT) phenomenon) based on a lack of cessation implicature. However, this analysis encounters empirical and technical issues in accounting for the English data in the same construction involving the future auxiliary would, the past perfect, and the future-under-future configuration. It also faces difficulty in accounting for the cross-linguistic data that concerns tense in verb complements. We are, therefore, led to conclude that the traditional solution to this problem (Abusch 1988, 1997, Ogihara 1996, von Stechow 1995, Stowell 1996, and Kratzer 1998) that renders structurally lower past tense morphemes in English semantically empty (or plain variables) is preferable. This system allows us to adopt the same semantic mechanism for both SOT languages such as English and non-SOT languages such as Japanese.
Features of the Development of Primary Education in the Context of the Impact of COVID-19

The main purpose of the article is to study the features of the development of primary education under the influence of COVID-19. Competently oriented primary education is a response to the challenges of modern society, to the requirements of new information progress. The crisis caused by a dangerous new coronavirus required urgent measures to reduce the risks of the spread of infection in various areas of people's lives and activities. In the field of primary education, an urgent transfer of the educational process to a distance form using e-learning technologies was chosen as such a measure. Such an attitude, in principle, corresponds to the current level of accessibility of digital technologies for the majority of the world's population. In addition, the vast majority of educational institutions, in accordance with accreditation requirements, must have an Internet connection, which is the basic criterion for assessing the ability of a school to work remotely using digital technologies. As a result of the study, the main prerequisites for the development of primary education under the impact of COVID-19 were identified
Improve Discourse Dependency Parsing with Contextualized Representations

Recent works show that discourse analysis benefits from modeling intra-and inter-sentential levels separately, where proper representations for text units of different granularities are desired to capture both the meaning of text units and their relations to the context.In this paper, we propose to take advantage of transformers to encode contextualized representations of units of different levels to dynamically capture the information required for discourse dependency analysis on intra-and inter-sentential levels.Motivated by the observation of writing patterns commonly shared across articles, we propose a novel method that treats discourse relation identification as a sequence labelling task, which takes advantage of structural information from the context of extracted discourse trees, and substantially outperforms traditional directclassification methods.Experiments show that our model achieves state-of-the-art results on both English and Chinese datasets.Our code is publicly available 1 .
Excel Guide and Learning App

Abstract: A application has been developed to assist students in understanding the working of Microsoft excel. The working of Microsoft excel is necessary element that students need to understand before they can solve problems such as calculations, table creation, data entry, giving presentations, accounting etc. This application will help students to learn basic functions of Microsoft excel. This app contains images, definitions, tips, suggestions and methods of how every functions of Microsoft excel is been used along with examples. Another feature of this application is that is could be further developed to enhance the user experiences and comfort. Developed application will focus on bug repairing, working on no internet connection, fast performance, mobile and desktop compatibility. The application is written in java language and html using the Android studio. The data required for developing this program are stored in Android studio. This program receives a positive feedback based on a perception survey on 10 students. Keywords: guide, application, learning, mentor