Reviewerly/exHarmony huggingface dataset:
ROCLING-2021 Shared Task: Dimensional Sentiment Analysis for Educational Texts

This paper presents the ROCLING 2021 shared task on dimensional sentiment analysis for educational texts which seeks to identify a real-value sentiment score of self-evaluation comments written by Chinese students in the both valence and arousal dimensions. Valence represents the degree of pleasant and unpleasant (or positive and negative) feelings, and arousal represents the degree of excitement and calm. Of the 7 teams registered for this shared task for two-dimensional sentiment analysis, 6 submitted results. We expected that this evaluation campaign could produce more advanced dimensional sentiment analysis techniques for the educational domain. All data sets with gold standards and scoring script are made publicly available to researchers.
PEMBUATAN ANIMASI SIMULASI FRAME BY FRAME PENYULINGAN AIR BAKU MENJADI AIR BERSIH

Animation, in generally, is a look which describes between texts, grafic and voice in a movement activity. in multimedia, Animation is a computer use to create movement in the scene. In the application of simulation animation, Refinery of basic water becomes clean water uses software of Adobe Flash CS6 and there is also an additronal software sketchUP. Adobe Flash is one of vector based program which is used by animator to make some animations. Adobe Flash also has ability to make interactive content, interactive website, media advertisement, learning media, presentation, online game or content for mobile intstrument. The goal of making this animation is to help user who needs information to know how the simulation of basic water refinery to be clean water which is daily used in the area of Medan and also as media of learning interactive for students to know what process happended in the Refinery of basic water becomes clean water.
User Acceptance Test For Digital Signature Application In Academic Domain To Support The Covid-19 Work From Home Program

The user acceptance test (UAT) is the final stage in the production of the application. This is intended to see the degree to which the system can function and satisfy the needs of its users. The objectives of this research is to test the function and user acceptance of the digital signature application in the academic environment to support the covid-19 work from home program. The approach used in the user acceptance test is to use the black box method and the Likert scale questionnaire to figure out the functional scope of the program, as well as the acceptance of system by users while using the application. The results of the test show that the digital signature application that has been designed, functionally can run well and generates a user acceptance value of 82.07%. It can be concluded that the application that was developed has been accepted by users and fulfills the needs of its users, it is an alternative solution, especially in signing academic documents during the current Covid-19 pandemic.
STORM DETECTION APPLICATION ON SATELLITE IMAGE USING THE HOUGH CIRCLE METHOD BASED ON DIGITAL IMAGE PROCESSING

Image processing is the process of taking information from an image, either in the form of a frame or video (a set of frames). In general, this information is used for specific purposes, such as counting, identifying and classifying objects. Image processing can consist of 1 or more processes, examples of these processes are filtering, smoothing, background subtraction and so on. This research will discuss an image processing for storm detection on satellite images using pattern recognition. The research object of this case is a storm that will be recognized from a satellite image recording. The satellite imagery referred to here is obtained from several sites. The stages of image processing are carried out, among others, the first is the extraction of frames from the video. Then the frame in the form of an RGB image is converted into a grayscale image. The next process is smoothing which aims to minimize noise so that the information obtained is more accurate. The last stage is the process of object detection using pattern recognition. The recognized pattern is a pattern based on the video which has a shape resembling a circle and is dominated by white. A pattern that is recognized as a potential storm will be marked with a certain marker shape. The detected storm information will be shared with all users. Applications made on the android smartphone platform with the java programming language. After the application is successfully made, the level of accuracy will be analyzed and calculated.
Positive politeness strategies of Tonado Javaness (Jaton) community

Politeness is very important in communication to maintain a harmonious relationship between the speaker and the speech partner and to avoid conflict. Politeness is a way to maintain and save the face of the speaking actor. A positive politeness strategy in speaking frankly with pleasantries is the speaker's effort in expressing polite behavior in the form of language. The focus of this research lies in positive politeness strategies in speaking frankly with pleasantries in the Tondano Javanese community. This study aims to describe and explain positive politeness speaking strategies used by the Tondano Javanese people who live in Kampung Jawa Village. This study uses a qualitative approach with a descriptive method. Data collection is done by listening, recording, and taking notes. Furthermore, the data were analyzed using the theory of politeness strategies by Brown and Levinson (1987), which is related to the concept of 'face'. The results show that the Tondano Javanese people use ten positive politeness strategies and these strategies are used in speech situations when the interlocutor is lower or equal in power to the speaker, and the relationship between the speaker and the speech partner is familiar.
LibGuides: AUNY - Literacy: Media

This library guide will help you find resources to support your studies in your pursuit of your Master's of Science in Education in Literacy through AUNY.
Product Reviews: A Benefit, a Burden, or a Trifle? How Seller Reputation Affects the Role of Product Reviews

The sales effect of product reviews has been a contentious issue with competing perspectives about when product reviews serve as a benefit, a burden, or a trifle. Unlike previous research that separately investigates the impact of each eWOM system, our study empirically examines the interaction effects of dual eWOM systems, i.e., product reviews and seller reputation. Drawing on reference point theory, we find that seller reputation systems play a reference point role and determine the efficacy of product reviews. Specifically, negative reviews cause a significant loss in sales for high-reputation sellers but are less detrimental for low-reputation sellers. In contrast, positive reviews can boost sales for low-reputation sellers but are less helpful for high-reputation sellers. These results highlight that seller reputation is a double-edged sword. On the one hand, a high level of seller reputation can reduce seller uncertainty and attract more consumers. On the other hand, a high level of seller reputation may raise consumers' expectations and lead to potential negative expectancy violations. Moreover, we explore what strategy may help mitigate the potential detrimental effect of reference points for high-reputation sellers. Through the lens of restructuring reference points, the reputation reference effect can be adjusted in a more dynamic reputation system (e.g., a reputation badge). Compared to sellers that have never lost their top-rated badge, sellers that have lost the top-rated badge may face an attenuated detrimental impact on sales from the negative expectancy violation due to negative reviews and enjoy a positive impact from positive reviews. We discuss the implications of our findings for both theory and practice.
Analisis Kemampuan Siswa Dalam Memproduksi Teks Anekdot : (Kajia Teks Dalam Pembelajaran Bahasa Indonesia, Prof. Mahsun, M.Pd)

This study aims to describe the ability of students at x grade students of MAN 1 Bima in writing anecdotal text with scientific approach. Therefore to know this problem used the theory of qualitative data analysis and quantitative analysis by using tabulation width of student learning achievement in book of  Prof.Mahsun, MS, and other theories. The research method used in this research is qualitative research method with the character of analytic description. Interpretation of data is done through literature method and field observation with student assignment technique writing anecdote text using scientific approach. Based on the results of data analysis, it can be concluded that the students' ability to analyze at x grade students of MAN 1 Bima in writing anecdotal text with scientific approach is at less skilled value, This is evidenced from the results from students’ score that is only under minimum score. This is also evidenced from the results of qualitative data analysis and  the score of students is only in the range under the minimum score. it is also evidenced from the results of qualitative data analysis and quantitative data analysis used tabulation data sheet that shows the number of the ability to write anecdote text of all student got score 30 that is in the less skilled value category.
Implementation of Management Information at Online Transportation Service

Digitization is a trend and need in every activity. Almost all activities are always in contact with technology. Likewise with Indonesian transportation which cannot be separated from the use of technology. So this study aims to examine the feeling of information technology in operational and management activities at the Indonesian transportation facility, namely PT. Go-Jek Indonesia. The method in this study is direct observation of the perpetrators of Go-Jek transportation with qualitative data. The results show that the E-Commerce system plays an important role in the smooth running of people's life activities, many conveniences are provided both in traveling, ordering a joint, ordering food or other facilities. Vice versa with workers in this field are very accommodated with the information system used.
Next Generation Design: The Taylor Family Digital Library

Presentation at the Society for Society for College and University Planners (SCUP) 2019 National Conference, Workshop on Permeability: A Driver of Change and Cutting-edge Learning Spaces, Seattle, USA
ACTION RESEARCH ON USING SHORT STORIES TO BOOST EFL LEARNERS’ PERFORMANCE: A SYSTEMATIC REVIEW

Various conceptual and empirical research has revealed that short stories are effective learning tools teachers can use to boost English as a foreign language (EFL) learning performances. However, most EFL teachers are still find using short stories in EFL classrooms challenging. To solve the problem, conducting action research on using short stories in EFL teaching seems to be the best option. This study aims at reviewing action research on using short story use to increase EFL students’ learning achievement. Employing four inclusion and three exclusion criteria, 12 action research articles indexed in Google Scholar and published in 2011-2020 were selected. Data were analyzed using the constant comparative method. The results showed that the use of short stories employing the Before-During-After reading strategy, language-based model, and literature as content model managed to attain the intended outcomes in 2 to 3 cycles. This review is ended by highlighting some research gaps for future action research and future review as well.
Motion Sickness and Concerns for Urban Air Mobility Vehicles: A Literature Review

Motion sickness is a general term for a constellation of signs and symptoms, generally due to exposure to abrupt, periodic, or unnatural accelerations, especially when traveling in a vehicle. Motion sickness results from a mismatch of the visual and nonvisual (vestibular and kinesthetic) information, the observed scene and the motion felt or lack of it. Motion sickness onset is associated with a pattern of physiological changes in heart rate, peripheral blood flow, respiration, and skin conductance and the pattern is repeatable for a particular subject but variable between subjects. Demographic factors such as gender and age that affect motion sickness are well known with children, women, and older adults more likely to be susceptible. Often motion sickness is assessed and quantified using variations of the motion sickness susceptibility questionnaires including the Pensacola Diagnostic Rating Scale and the Simulator Sickness Questionnaire. Even though symptoms are easily identified by such questionnaires, they commonly are subjective. Tools such as these questionnaires for screening individuals susceptible to motion sickness are useful, however, they are only mildly predictive. Moreover, models for predicting motion sickness, which have largely been developed for sea sickness, do not consider task characteristics. Predictions of motion sickness rates and prevalence for Urban Air Mobility (UAM) vehicles are not possible at present because data from actual flight or full-fidelity simulation are simply not yet available. Extrapolation from other modes of transportation (i.e., automobiles, buses, trains, boats, other types of aircraft) is difficult because of differences in the motion stimulus experienced, trip duration, and other factors. How UAM vehicles will change the social dynamics of passenger interaction and vehicle interior design changes (e.g., seat orientations) is unknown. Should motion sickness prove to be an issue, vehicle design modifications such as having passengers face forward, providing additional seat recline, giving each person their own climate control for airflow, perhaps ensuring the horizon is visible to all passengers (reducing visual occlusion by the headrest) and visually stabilizing displays on carry-on devices (smart phones, tablets, etc.) may benefit passengers. Several commercial companies provide wearable devices for physiological monitoring that have been validated and are suitable for use with passengers in UAM vehicles or high-fidelity simulators. Potential countermeasures for motion sickness include user-worn devices, anti-motion sickness medications, and non-pharmacological approaches such as biofeedback and Autogenic Feedback Training Exercise. Both simulator and in-vehicle UAM research is needed to evaluate the effectiveness of any potential countermeasure.
Implementation of Robotic Navigation Algorithms Using Partial Reconfiguration on Zynq SoC

The purpose for this research work is to design a heterogeneous method for adaptive, task-based computer hardware reconfiguration for adaptive mobile robotic applications. The proposed method uses the dynamic reconfiguration technique to modify the navigation system to meet the requirements of various navigation algorithms for accomplishing an assigned task. In this work, we have proposed an efficient architecture that satisfies the requirements with adequate hardware and software resources by dynamically reconfiguring the system. The ability to change resources allows robots to collaborate more easily, to enhance performance and fault tolerance. The method is endorsed with case studies in which a multiple mobile robots are loaded with bitfile and their behaviors are dynamically modified during runtime. This paper also proposes the hardware implementation of navigation algorithms on Zynq SoC, XC7Z020CLG484-1, using Xilinx Vivado 2017.3 to simulate and synthesize the design. Verilog is a real-time hardware description language, which is used to deploy multiple robots. Software Development Kit (SDK) is used to facilitate the generation of integrated software applications for Xilinx embedded processors. One of the important aspects of this work is adopting an FPGA-based robot in service-based applications for assisting humans in their daily lives.
LibreEOL FOR A WORLDWIDE EChemTest®: AND E-ASSESSMENT SERVICE

The evolution of EChemTest® towards a worldwide open service is based on a decision taken one year ago by the ECTN Association and implemented starting from January 1st, 2021 leveraging the use of LibreEOL [1] Self Evaluation Sessions (SES)s. Such a move has called for a tighter collaboration among Test Centres (TC)s (and related Accredited Test Sites (ATS)s if any) and the central and financial management of relevant activities by the ECTN Association. Central to this point is the handling of the information produced by LibreEOL during the SESs for the evaluation of the test taker and the issuing of the Individual Proficiency Certificates (IPC)s. We are working to facilitate the automatic issuance of certificates.
Direct and Indirect Speech Acts Analysis of TOEFL Listening Preparation Test for Vocational Students

TOEFL (Test of English as a Foreign Language) is the common test used to measure English proficiency for non-native speakers. The utterance in TOEFL listening test can be analyzed using pragmatics. This descriptive qualitative study analyzes the direct and indirect speech acts of short dialogs in TOEFL listening preparation tests. The data was obtained from the utterances occurring in 40 short dialogs and then analyzed the direct and indirect speech acts using Yule’s speech acts classification. The analysis of syntactic structure in the form of declarative, interrogative, and imperative, and the three general communicative functions (statement, question, command/ request) are used in this study. From 40 short dialogs, there were 82 utterances. In total, there are 59 direct speech acts and 23 indirect speech acts. The dominant type of direct speech acts takes 59 utterances that include 20 interrogatives that have function as questions, 7 imperatives as command/request, and 32 declaratives as statements. The indirect speech acts analyzed takes 23 utterances that include 12 interrogatives as a request/command, 9 declaratives as request, and 2 declarations that have function as questions.
Cross-lingual Representation Learning for Natural Language Processing

Author(s): Ahmad, Wasi Uddin | Advisor(s): Chang, Kai-Wei | Abstract: In the modern era of deep learning, developing natural language processing (NLP) systems require large-scale annotated data. However, it is unfortunate that most large-scale labeled datasets are only available in a handful of languages; for the vast majority of languages, either a few or no annotations are available to empower automated NLP applications. Hence, one of the focuses of cross-lingual NLP research is to develop computational approaches by leveraging resource-rich language corpora and utilize them in low-resource language applications via transferable representation learning.Cross-lingual representation learning has emerged as an indispensable ingredient for cross-lingual natural language understanding that learns to embed notions, such as meanings of words, how the words are combined to form a concept, etc., in shared representation space. In recent years, cross-lingual representation learning and transfer learning together have redefined low-resource NLP and enabled us to build models for a broad spectrum of languages.This dissertation discusses the fundamental challenges and proposes several approaches for cross-lingual representation learning that (1) utilize universal syntactic dependencies to bridge the typological differences across languages and (2) effectively use unlabeled resources to learn robust and generalizable representations. The proposed approaches in this dissertation effectively transfer across a wide range of languages across different NLP applications, including dependency parsing, named entity recognition, text classification, question answering, and more.
Independent Work of Students as a Factor of Increasing the Efficiency of the Educational Process

The article examines the role of students 'independent work, presents their components, considers the features of mental skills, presents the conditions for the effective organization of students' independent work.
Validating Quality Estimation in a Computer-Aided Translation Workflow: Speed, Cost and Quality Trade-off

In modern computer-aided translation workflows, Machine Translation (MT) systems are used to produce a draft that is then checked and edited where needed by human translators. In this scenario, a Quality Estimation (QE) tool can be used to score MT outputs, and a threshold on the QE scores can be applied to decide whether an MT output can be used as-is or requires human post-edition. While this could reduce cost and turnaround times, it could harm translation quality, as QE models are not 100% accurate. In the framework of the APE-QUEST project (Automated Post-Editing and Quality Estimation), we set up a case-study on the trade-off between speed, cost and quality, investigating the benefits of QE models in a real-world scenario, where we rely on end-user acceptability as quality metric. Using data in the public administration domain for English-Dutch and English-French, we experimented with two use cases: assimilation and dissemination. Results shed some light on how QE scores can be explored to establish thresholds that suit each use case and target language, and demonstrate the potential benefits of adding QE to a translation workflow.