Reviewerly/exHarmony huggingface dataset:
COOPERATIVE PRINCIPLE IN PARMOEDYA ANANTA TOERS’ NOVEL BUMI MANUSIA

People always do communication with others. Communication has several functions, such as conveying idea and giving information to others. In conveying idea and giving information, people use a language. One main requirements needed by person to do communication is to make sure that the listener or people involved in the conversation will cooperate each other; so by this, the communication can run well. Paul Grice states that the cooperative principle is the assumption that participants in a conversation normally attempt to be informative, truthful, relevant, and clear and the cooperative principle of conversation is elaborated in four sub-principles called maxims. They are maxim of quantity, maxim of quality, maxim of relevance and maxim of manner. The aims of this study are to reveal the use of framework principle and to entangle the implied meanings in the conversations in terms of their maxim arrangement. This research uses descriptive qualitative method and the results show that there are maxim of relevant, quality, quantity and manner used in the novel.
TIME DEIXIS IN ANTHONY MCCARTEN’S SCREENPLAY THE THEORY OF EVERYTHING

This research is about time deixis on the screenplay of The Theory of Everything by Anthony McCarten with various indicators that explain the whole analysis, such as multiverse concepts in the physics law that are in force. The lack of understanding of language and time deixis is a serious problem often creating chaos in human civilization, resulting in something very extraordinary bad impact on life that seems to have nothing to do at all. This research is useful to make humanity aware of the importance of understanding language and understanding pluralism as a new era of human, not only in culture but also the way to learn. In the fact, that has small probability of success to rebel it off since it involves the prosperity of human life throughout the world. However, this study does not aim to force readers to change the ideology, perspective, and point of view that have been believed, only as the informative research showing new concepts of understanding literary work and life concepts so far. Notwithstanding, political interests in the future may be able to restructure all policies that have been mutually agreed internationally, if the agreement is nearing a saturation point. The method used in this study is a scientific methodology with qualitative description by collecting data through the screen play and literary review. And, various historical and future suggestions are also presented in this study. The results show that there are exposures of time deixis in the screenplay: ambiguity, polysemy, and vagueness.
MISCHIEVOUS BEHAVIOR IN HONEY DEE’S NOVEL UNBROKEN VOW

This study is entitled Antagonist’s Mischievous Behavior in Honey Dee’s novel Unbroken Vow. The story tells about the antagonist, Mirriam who comes from family trouble and she is full of jealousy when seeing someone who has a happy family. Mirriam has a desire to destroy the protagonist’s family by giving poison, injecting narcotics, making sexual abuse, and attacking everyone around her. The researchers are curious and interested in analyzing the antagonist's mischievous behavior because all the deeds are weird. The researchers also wish to know the reasons why the antagonist does such things. This article uses mischievous behavior theories by Purwanto and Denis. In completing the analysis, this study uses descriptive method proposed by Meoleong who describes the ways of conducting research method. The findings show that the types of mischievous behavior conducted by the antagonist are: attacking her rival, sexual abuse, injecting narcotics and giving poison; while the reasons of mischievous behavior are having problems at home, being bullied and having no clear boundaries.
LANGUAGE TEACHING IN VIEW OF POSTMODERN PARADIGM

The postmodern paradigm has developed very broadly. It has not only become a discussion in the field of philosophy but also influenced almost all fields of science, especially the socio-cultural sciences, including language teaching. This study aims to review how postmodernism affects language teaching and what effects it has on the language teaching and learning process, be it teaching a second or foreign language or teaching a first language. This is an analytic study using a literature review approach from written sources to describe the results and draw research conclusions. The results show that postmodernism has influenced language teaching, especially with the emergence of criticism of existing teaching methods and the raising of the critical question of whether teaching languages should use existing teaching methods or whether language teaching does not need to follow these methods. Criticism then gives birth to an understanding method of pedagogy that is based on communicative language teaching (CLT). Postmodern philosophy suggests that language teaching can be done with a combination of several existing methods or can also add new methods or techniques.
INFOGRAPHIC AND RELIGIOUS CONTENT TO IMPROVE STUDENTS’ ABILITY CONSTRUCTING CAUSE EFFECT RELATIONSHIP

This research is aimed at elucidating the improving of students’ ability in constructing cause effect sentences using Islamic content blended to one of multimodality teaching called infographic. This research is applied on tourism regular class X of SMK Negeri 8 Medan in 2020 where 30 students participated as subject of the research. This class action research is conducted in two main cycles namely planning, conducting, observing and reflecting where all are implemented separately in both cycles. Collection of the data is taken through observation sheet, result of the test and documentation of activity and infograhic result. The using of infographic not only could increase the ability of students to construct sentences containing cause effect relationship but also trigger their interest and maintain their motivation to participate actively during learning hours, and religious content itself is to call back students’ knowledge about why something is obliged or forbidden in Islam. The results show that students level of participation to actively get involved in learning cause effect sentences in first cycle reaches 60% while average learning outcomes is 60%. Then in second cycle the participation increases to 75% and average learning outcomes exceed 75%. Thus, using infographic is very useful to increase students’ ability in constructiong cause effect sentences.
Student’s Personal Coping with University Studies while Facing Drop Out

Drop out is a phenomenon imparted of complexity, factorial polysynthesis, and diversity of consequences unfortunately negative in nature. Thus, a thorough comprehension and analysis of the factors affecting drop out and the tendency to it, are crucial. In this paper, the latter is examined in an effort to enlighten the causes behind the manifestation of drop out so as appropriate interventions are applied. In this respect, the present work focused on those factors that exert direct or indirect influence of positive or negative nature on the way students cope with university studies, overcome obstacles and value the university experience. The research was conducted at the University of Patras on a student sample with 696 valid questionnaires. The findings indicate that the principal factors behind the tendency to drop out are the students’ frustration, the absence from their obligatory academic duties, and dissatisfaction with their cognitive subject. On the contrary, the primary factors decreasing the students’ tendency to drop out are the sense of effectiveness in their studies, the perception of gaining valuable things from studying at university, and the creation of good relationships with their fellow students and university teachers.
Identifying A Target Scope of Complaints on Social Media

A complaint is uttered when reality violates one’s expectations. Research on complaints, which contributes to our understanding of basic human behavior, has been conducted in the fields of psychology, linguistics, and marketing. Although several approaches have been implemented to the study of complaints, studies have yet focused on a target scope of complaints. Examination of a target scope of complaints is an important topic because the functions of complaints, such as evocation of emotion, use of grammar, and intention, are different when the target scope of complaints is different. We first tackle the construction and release of a complaint dataset of 6,418 tweets by annotating Japanese texts collected from Twitter with labels of the target scope. Our dataset is available at https://github.com/sociocom/JaGUCHI. We then benchmark the annotated dataset with several machine learning baselines and obtain the best performance of 90.4 F1-score in detecting whether a text was a complaint or not, and a micro-F1 score of 72.2 in identifying the target scope label. Finally, we conducted case studies using our model to demonstrate that identifying a target scope of complaints is useful for sociological analysis.
Sports Visual Data Analysis with Deep Vision

The sports industry is surrounded by opportunities in all facets, including sports marketing, sports media, education institutions, sponsorship, and so on. They are adopting the newest technology such as computer vision to improve coaching task as well as benefit the sport broadcasting industry. In this paper, we examine action spotting in sports, particularly soccer. We found the SoccerNet challenge, which is a soccer video understanding challenge. SoccerNet provides a dataset for action spotting in soccer of 550 videos of famous leagues in recent years along with the event annotations in 17 classes. Action spotting is a concept that SoccerNet defined as finding the anchor time (or spot) that identifies an event. Inspired by previous successful methods under the action spotting task NetVLAD++ and AudioVid, we propose a multimodal architecture that learns temporal features of both visual and audio representation of video data. Our method achieves an mAP of 56.58%, which rises 3.18% higher than NetVLAD++ and 16.68% higher than AudioVid. Furthermore, we integrate that research into a web-based platform in order to contribute to the annotation industry. This platform consists of a client application written in ReactJS and a backend server. Both of them are deployed on the Google Cloud Platform so that users can experience our platform on any device without complex installation.
Studi Kasus Penggunaan Video Sebagai Media Pembelajaran Daring Dalam Mata Kuliah Japanese for Business di Era Pandemi

In the covid 19 pandemic era, education in Indonesia is appliying an online learning system. The use of technology and computer-based applications is inevitable. Teachers are faced with the use of applications such as Zoom, G Classroom, Screenomatic, Canva, Prezi, and others. The use of these applications is constructive in the knowledge transfer process. However, the use of supporting media in online learning also plays an important role. Because in practice, the use of learning media will greatly help the learning process. One of them is by using video media. Video is a multimedia-based learning media. In the video, learners can listen to the material through audio-visual which can help optimize the function of the five senses and make it easier for learners to understand the content of the material presented. This research will use videos from a Youtube channel. One course that requires videos as learning media is Japanese for Business, which is given to 3rd year 6th-semester students for 4 meetings with various themes. In this course, students are taught Japanese conversation for business. The difficulties faced in online learning are the lack of time for practice and limited language use situations. Moreover, the pandemic period has also affected the company's work system, so it is necessary to deliver material about the work system. Such as presentations and meetings through zoom as well as other situations that might occur in the online work system. Based on this background, it can be concluded that the purpose of this study is to find out how teaching in Japanese for Business course through the use of video media in the pandemic era. The method used is a mixed method.
Expressive Speech Acts of Complaining in The Anime “Tanaka Kun Wa Itsumo Kedaruge” (Pragmatics Study)

Language is used to communicate with fellow human beings on this earth, with language we can understand what other people want to convey to us either in spoken, written, formal or informal language. With the language we perform an action to convey the language to the speech partner or often referred to as our interlocutor in order to capture the meaning of what we convey or we say. In language there are speech acts, speech acts are part of pragmatics. A speech act is an utterance of a sentence to state that a purpose of the speaker is known by the interlocutor. In the speech act itself there are three main parts, called locution, illocution and perlocution. Each of the three main pillars has its own function in performing a speech so that a speech can be easily understood by the interlocutor. This study aims to describe the forms of speech acts and complaining strategies used in a Japanese animation This study uses qualitative descriptive method by examining the utterances that occur in the data. The Data used by the researchers were obtained from the anime entitled Tanaka kun wa Itsumo Kedaruge where in the anime there are many complaints that become the source of research. Data analysis is done by classifying the form of speech acts and complaining strategies used using existing theories. The results of the study found that the form of speech acts was 51 data with the form of direct speech acts as many as 22 data, the form of indirect speech acts as many as 29 data. From the results of the discussion, Complaint data found 51 data with implicit complaints with 17 data cues sub- category (hint), expressions of annoyance/disapproval with 31 data sub-categories annoyance, 2 data of painful consequences sub-category (ill consequences), accusations with category of direct accusation (direct accusation) as much as 1 data, explicitly blame (attitude) explicit blame (behavior) as much as 2 data.
Waseda Boys’ Phonological Interference of Indonesian Food Names In Nihongo Mantappu Vlogs

Interference is a mistake generally made by second language learners because they are influenced by their first language ability. Meanwhile, phonological interference is a mistake that occurs at the sound level due to changes in phonemes influenced by knowledge of the sound system in the first language. This paper discusses the errors of second language learners in understanding the sound changes that occur in the language they are learning. This study aims to describe the forms and factors that cause phonological interference committed by “Tes Wasedaboys Tulis Nama Makanan Indonesia! Ngakak Banget!”. The method used in the research is descriptive qualitative method with the theory referring to Weinrich's interference theory (1953). The data collection method used is the listening method with free listening technique. Based on the analysis that has been done, the form of phonological interference that occurs in the YouTube video on the Nihongo Mantappu channel entitled “Tes Wasedaboys Tulis Nama Makanan Indonesia! Ngakak Banget!” is divided into 2 classifications, namely 9 data of vowel phoneme interference and 8 data of consonant phoneme interference. Each interference is divided based on the addition of phonemes as much as 3 data, based on phoneme changes as much as 7 data, and based on phoneme reduction as much as 7 data. The factors that cause phonological interference are (1) bilingualism of speech participants which amounted to 3 data, (2) differences in vowel sounds and writing methods which amounted to 11 data, (3) carrying the mother tongue which amounted to 3 data.
NOMA—Non-offensive Messaging Application Framework Using Machine Learning Technique for Online Communication Through Social Media

Nowadays, the usage trend of social media platforms such as Facebook, Twitter, and WhatsApp has increased among all age groups, especially teenagers. Despite its positive aspects, the circulation of offensive/hate/abusive text to the online community undermines its reputation, scares away users, and directly affects their mental growth. To address this issue, in this work, we have proposed a machine learning-based framework, which detects, classify, filter, and block the offensive/hate/abusive text at the sender level particularly in three languages (English, Hinglish, and Punglish) during the online communications through social media applications. We have built, trained, and tested the proposed model and evaluated its performance. The proposed model gives the accuracy around and above 90 per cent. Further, we have implemented the proposed model and built an Android-based application named Non-offensive Messaging Application (NOMA) having the in-built machine learning-based feature of offensive/hate/abusive text detection and filtration at the sender level.
Salient Object Detection with Fusion of RGB Image and Eye Tracking Data

Salient object detection (SOD) is one of the fundamental topics in computer vision, but the current SOD algorithm is difficult to accurately find salient regions in scenarios such as multiple objects or small objects. Considering the above problems, this paper proposes a SOD algorithm with the fusion of RGB image and eye tracking data. The specific methods are as follows: (1) The eye tracking data can well simulate the human visual selection attention mechanism and contains high-level semantic information, so the eye fixation points are integrated into the salient object detection algorithm. (2) Considering the different characteristics of high-level features and low-level features, an improved cascade decoder including channel cascaded decoder (CCD) and spatial cascaded decoder (SCD) is designed. Moreover, the cross-modal fusion module (CMFM) is employed to better fuse the eye tracking data and the RGB image features. (3) The comparative experiments on the two datasets show that the performance of the proposed method exceeds that of the mainstream algorithms and can achieve effective SOD.
COBIMET Library Consortium: the experiences of a collaborative project of four Hispanic Higher Education Institutions in Puerto Rico

&#x0D; &#x0D; &#x0D; This paper describes the experiences of the only registered library consortium under the State Department of Puerto Rico, mostly composed by private higher education institutions.The author explains how the Consorcio de Bibliotecas Metropolitanas (COBIMET) was founded and what were the challenges, needs and goals of this collaborative group. To achieve cooperation the members of the consortium considered the common needs of each one of the participating libraries. The areas to work on were technology, library services, information resources, budget constraints and professional development. Among the benefits derived from all activities the participating institutions were able to reduce costs, share knowledge, and explore diverse learning experiences.&#x0D; &#x0D; &#x0D;
La presencia docente conquistando la virtualidad

Faced with the dilemma of the teacher's presence (TP) in virtuality, the following questions arose: How is TP defined in virtuality? What are the indicators that describe the profile of the TP? What effect does TP have on the student? The method is qualitative and documentary, nourished by studies already carried out. We conclude that TP indicators are the agents promoting well-being, comfort, and pleasure for meaningful learning.
Microsoft Teams

Grace Simons, Electronic Resources and Cataloging Librarian, and Cathy Mayer, Visiting Instruction Librarian, share a belief that academic libraries can practice hospitality for staff members (librarians and paraprofessionals) by reimagining workflows through expanded use of digital platforms. Simons and Mayer shared their experience utilizing Microsoft Teams at North Park University’s Brandel Library and invited attendees to reflect on how ideas shared might be applied at other Atla institutions. Content shared is intended to provide a high-level introduction to Microsoft Teams and explores three themes: needs that drove adoption at Brandel Library, a tour of the platform highlighting key functions, and ideas for organizational strategies that can be adapted by others.
The integration of DRTA strategy and the zoom conference for teaching reading: an action research

This present research aimed to investigate the integration of Directed Reading Thinking Activity (DRTA) and Zoom conference for improving students' reading comprehension. Classroom Action Research was the research design employed in this study. The independent variable was the DRTA Strategy and the dependent variable was the students' reading comprehension. There were 30 students as the subject of this study. Reading test, field notes, questionnaires, interview, and observation sheets were the instrument of research for collecting the data. The findings of pre-test and post-test mean scores showed the improvement of students' reading comprehension using the integration of DRTA Strategy and Zoom conference. Furthermore, this combination can help English learner achieve the learning target. The students can get many benefits from using this combination to study English. They also can conduct an effective teaching-learning activity in a modern way even though they are not allowed to attend the face-to-face classroom Keywords: Action Research, DRTA Strategy, Zoom Conference
Root Cause Analysis Bot using Machine Learning Techniques

&lt;p&gt;The data currently used from Build Test Automation from Jenkins Pipeline.&lt;/p&gt;
Assessing Scan and Deliver Request Form

&lt;p&gt;Requests for Scan and Deliver survey are submitted through Google forms. This is a download of the request form. Please note that the list of program names would be seen by users as a drop down. &lt;/p&gt;
BEST PRACTICES FOR VULNERABILITY MANAGEMENT IN LARGE ENTERPRISES: A CRITICAL VIEW ON THE COMMON VULNERABILITY SCORING SYSTEM

Over the past decade, enterprises have been increasingly suffering from attacks conducted by cybercriminals.Potential losses are not only reflected on their revenue or stolen data, but also on their damaged reputation.Most often, these attacks were possible due to the successful exploitation of vulnerabilities within the company's system.Many of such attacks could have been mitigated, if responsible actors took the right actions related to the management of such vulnerabilities.This paper aims to summarize good practices regarding vulnerability management, with essential focus on the matter of prioritization.For this, several vulnerability scoring systems such as the Common Vulnerability Scoring System were analyzed according to the way they are portrayed in scientific literature.It will also analyze non-technical, human factors as well by reflecting on organizational aspects.The aim is to provide an overview about the options large enterprises have in this regard and to inform about potential consequences they could face.It will also reflect on the problematic behind the trade-off between investing enough in a cybersecurity foundation, while simultaneously remaining profitable.
Human Attention and Visual Cognition: Introduction

In a world that is increasingly fast and complex, the human ability to rapidly perceive, comprehend, and act on visual information is extremely important [...].