Reviewerly/exHarmony huggingface dataset:
VirtualForce: Simulating writing and sketching on a 2D-surface in virtual reality

Realistically writing and sketching on virtual surfaces in virtual reality (VR) enhance the potential uses of VR in production and art creation.To achieve a similar writing experience as in the real world, the VR system needs to be pressure sensitive to the user's stylus on the virtual plane to create the effect of different pen strokes and improve the user experience.Typical 6 degree-offreedom (DoF) VR controllers do not measure force or pressure on surfaces because they are held in mid-air.We propose a new method, VirtualForce, to calculate the force based on the difference between the user's physical hand position and their hand avatar in VR.Our method does not require any specialized hardware.Furthermore, we explore the potential of our method to improve the creation of VR art, and we present several ways in which VirtualForce can greatly enhance the accuracy of drawing and writing on virtual surfaces in virtual reality.
Digital Literacy Perspective: Reflections on Education

Today's society demands more and more different types of skills. These skills need to be used not only to strengthen the capacity to use information for social and personal development purposes, but also to manage potential risks associated with mass media and digital media. As a matter of fact, the rapid development of digital technologies in the digital age confronts individuals with situations that require the use of ever-growing cognitive, sociological and technical skills required to identify and solve problems in digital environments. Individuals who are digitally illiterate or who lack digital literacy face the situation of exclusion from the digital world. Therefore, in today's technology age, being digital literate is an important skill needed in people's workplace and social lives beyond educational institutions. The increased focus on the development of digital literacy should be a policy priority, especially for educational institutions. Because education, which includes the learning and teaching process, is an area where digital media are used. In this study, the concept of digital literacy, the development of digital literacy, strategic perspectives in education, the 'Ng Model' in digital literacy and the use of digital literacy in education have been examined.
Improving the performance of ultrasound transducer using simulation and modeling: تحسين أداء محول طاقة الأمواج فوق الصوتية باستخدام المحاكاة والنمذجة

Improving medical imaging using ultrasound is important in order to get a high- resolution medical image, this research aims to achieve a physical modeling and simulation of an ultrasound transducer (UT) showing the electrical impedance of the piezoelectric material, in order to increase the transducer performance at both high and low frequencies by choosing a suitable piezoelectric material with good impedance. we adopted in this research Lead Zirconate Titanate material (PZT4), and performed modeling using mathematical equations that describe the actual physical behavior in the transducer structure and made a graphic user interface (GUI) using Matlab environment that demonstrate it, and display the electrical impedance of the piezoelectric material. As well as using Simulation by Finite Elements Methods (FEM) using On Scale environment and comparing the results in both of them. The results matched at a certain frequency, to give a clear image in the deep areas of the body. This later enables us to make modifications to the transducer structure and add backing layer and matching layer for the piezoelectric material.
Non-Replies in Interviews with Iranian Politicians

Iran has been at the centre of international controversies since 1979 when the Islamic Republic of Iran was established. The controversial issues that Iran is associated with include its involvement in nuclear programme and the violation of human rights in Iran. Iranian politicians are often criticised for the Iranian government’s non-conformity with Human Rights Council and International Atomic Energy Agency (IAEA). In this study we examine what strategies or non-replies Iranian politicians employ to respond to interviewers’ face-threatening questions. The data consist of thirty political interviews conducted from 2001 to 2015 with a total of twelve hours of talk involving journalists working for western broadcasting companies and Iranian politicians collected from YouTube packaged for public consumption. It was explored that Iranian politicians employed eight kinds of superordinate non-replies to avoid answering the interviewers’ face-threatening questions to save, protect or enhance their face. The findings of this study can shed light on the avoidance strategies of Iranian politicians.
Strategies Adopted by C. H. Brewitt-Taylor for Translating Military Terms in <i>San Guo Yan Yi</i> from the Perspective of Skopos Theory

As one of the "Four Great Chinese Classics", San Guo Yan Yi (the Three Kingdoms) takes an important position in Chinese literature.It contains a lot of military terms like weapons, military attires and military strategies or tactics with unique Chinese cultural elements or connotations which may generate some difficulties or obstacles in translating or understanding, especially for translators who have cultural backgrounds greatly different from what is set in the novel.From the perspective of Skopos Theory, this article aims to conduct a study on the strategies employed by C. H. Brewitt-Taylor for translating such military terms and his preference in the choice of translation strategies in this respect.As the study shows, governed by the Skopos rule, C. H. Brewitt-Taylor's version is somewhat more domesticated so as to make the translated text more natural and smooth, indicating that in translating the military terms, C. H. Brewitt-Taylor tends to follow the coherence rule more than the fidelity rule to enhance the acceptability among the target readers and to achieve the expected skopos.
The Financial Performance and Macrofinancial Implications of Large State-Owned Enterprises in Sub-Saharan Africa

Using a newly-compiled dataset of state-owned enterprises in Sub-Saharan Africa, we present aggregate information about profitability, liquidity and leverage. We find that 40 percent of the close to 300 surveyed SOEs are unprofitable, while larger firms also tend to be illiquid and overleveraged. In cross-sectional regressions we find that SOE debt stock sustainability is impacted by firms’ profitability and liquidity, while macroeconomic factors cannot be shown to matter, expect for some governance variables. Based on these findings and citing country examples, we also illustrate that weak SOE performance may have a macrofinancial impact affecting bank soundness through delinquent loan exposures.
Sentiment Analysis using Machine Translation

Sentiment analysis is extremely useful in social media monitoring as it allows us to gain an overview of the wider public opinion behind certain topics. While sentiment analysis of European languages has been widely studied and experimented on, such tools for Indian languages, are scarce and don’t provide much value as accuracy scores are not acceptable. In this paper, we tried to mitigate this problem by using Machine Translation. The main idea was to train a sentiment analysis system for English that provides high accuracy scores. This system will then be used to annotate the test English sentences with thei respective sentiment labels. Also, a machine translation system, trained to translate the English language to Bengali, was used to translate the same test sentences into Bengali. As a result, we were able to develop a labeled Bengali sentiment corpus. Thereafter, we were able to train a Bengali sentiment analysis system, using this corpus. When tested using automated and manual metrics, the developed model garnered very good qualitative scores.
Risk Assessment With Audit Tool and Linked Archive System (ATLAS) Methods on Going-Concern During The Covid-19 Pandemic

The risk-based audit approach focuses on identifying and assessing material risks as well as risks that have the potential to hinder business strategy.Moreover, this approach will help the auditor plan a more targeted audit to make the implementation and reporting stage easier.This risk-based audit approach can be applied through the ATLAS, consisting of risk assessment, risk responses, and reporting.This audit approach focuses on evaluating strategic, financial, operational, regulatory, and other risks faced by organizations, such as risks to the company's going concern during the covid 19 pandemic.Given the current conditions, economic uncertainty worldwide, and increasing business and operations for many entities can challenge the auditor's judgment in conducting accounting examinations.The auditor should also consider the impact of the auditor's evaluation on management's assessment of the entity's ability to continue as a going concern.This study aims to map going concern risk assessments during the COVID-19 pandemic using the ATLAS.The sample in this study is the company's 2020 financial statements which in their preparation apply the financial accounting standards of entities without public accountability (SAK ETAP), with the business fields of hotels, advertising, contractors, trade, travel, communication services, cooperatives, health clinics, and Education.Data analysis was conducted using a comparative descriptive method on implementing the audit stages, risk assessment, namely in the financial, operational, and other aspects, and testing with Z-Score analysis.Mapping going concern risk assessment during the covid-19 pandemic using the ATLAS shows that first of all the hotel, contractor, travel business facing bankruptcy condition, secondly the cooperative business, education fall in the grey area and finally the type of business advertising, trading, communication services, health clinics in non-bankrupt conditions.
Remote AI Supported E-Multidisciplinary Oncology Conference in Breast Cancer as a Technology and Method to Optimize Outcomes in the Peripheries

Feasibility-reliability control of Telemedicine Systems (TS) integrated with Multimedia Systems (MS) and Artificial intelligence (AI) for remote e-Multidisciplinary Oncology Conference in Breast Cancer.Forty (n1=40) patients suffering from breast surgical oncology malignant (n2=32) and non-malignant (n3=8) diseases classified to seven categories: Nipple Discharge, Dominant Breast Mass, Occult Breast Lesion, Early Breast Carcinoma, Advanced Breast Carcinoma, Recurrent Breast Carcinoma) and treated clinically with the standard diagnostic (Mammography, US, MRI, Cytology, Pathology, BRCA1/2 Mutation Predisposition and Breast Cancer Risk Analysis) surgical, auxiliary therapeutic methods. Then clinical decisions compared to those proposed remotely by the virtual AI supported e-Oncology Conference for each patient.In four (n4=4) out of forty patients (TS, MS and AI) supported decision making and surgical treatment proposal including postoperative Radiotherapy proposal was not as clear as expected. Non-output answer for non-malignant breast pathologies (n3=8) was accurately indicated by (MS and AI). Mean accuracy of (TS, MS and AI) for: 1.Surgical Operative Planning including Rad=94.1%, 2.Chem=96.8%, 3.Horm=96.7% [In 95%, (Confidence interval: 85-99%)].High feasibility-reliability of the virtual AI supported e-Multidisciplinary Oncology Conference for remote decision making and surgical planning and for optimum outcomes in Breast Cancer treatment makes it a clinical necessity especially for the periphery of Hellas.
Adaptive Language Processing Unit for Malaysian Sign Language Synthesizer

Language Processing Unit (LPU) is a system built to process text-based data to comply with the rules of sign language grammar. This system was developed as an important part of the sign language synthesizer system. Sign language (SL) uses different grammatical rules from the spoken/verbal language, which only involves the important words that Hearing/Impaired Speech people can understand. Therefore, it needs word classification by LPU to determine grammatically processed sentences for the sign language synthesizer. However, the existing language processing unit in SL synthesizers suffers time lagging and complexity problems, resulting in high processing time. The two features, i.e., the computational time and success rate, become trade-offs which means the processing time becomes longer to achieve a higher success rate. This paper proposes an adaptive Language Processing Unit (LPU) that allows processing the words from spoken words to Malaysian SL grammatical rule that results in relatively fast processing time and a good success rate. It involves n-grams, NLP, and Hidden Markov Models (HMM)/Bayesian Networks as the classifier to process the text-based input. As a result, the proposed LPU system has successfully provided an efficient (fast) processing time and a good success rate compared to LPU with other edit distances (Mahalanobis, Levensthein, and Soundex). The system has been tested on 130 text-input sentences with several words ranging from 3 to 10 words. Results showed that the proposed LPU could achieve around 1.497ms processing time with an average success rate of 84.23% for a maximum of ten-word sentences.
Interpreter identification in the Polish Interpreting Corpus

This paper describes automated identification of interpreter voices in the Polish Interpreting Corpus (PINC). After collecting a set of voice samples of interpreters, a deep neural network model was used to match all the utterances from the corpus with specific individuals. The final result is very accurate and provides a considerable saving of time and accuracy off human judgment.
PENGARUH MODEL PEMBELAJARAN ROLE PLAYING TERHADAP PRESTASI BELAJAR BAHASA INDONESIA SISWA KELAS IV SDN LIWUNG KABUPATEN LOMBOK TENGAH NTB

The purpose of this study was to determine the effect of role playing learning models on student learning outcomes in Indonesian 8 Theme areas where I live in fiction stories grade 4 SDN Liwung Lobok Tengah. This research using is quantitative research using quasi experimental research designs. The sample used in this study is nonprability sampling with saturated sampling so that all student used as sample, all classes 4 consisting classes A and B. Class A was chosen as the control class dan class B was chosen as the experimental class, each class containing 25 student. The research instrument used was a test (pretest and posttest)a. The result of data analysis obtained from the independent t test are sig (2 tailed = 0,000) &lt; ɑ 0, 05) it means that Ho is rejected dan Hɑ is accepted, Role Playing learing model affect student achievement.
Position-based Prompting for Health Outcome Generation

Probing factual knowledge in Pre-trained Language Models (PLMs) using prompts has indirectly implied that language models (LMs) can be treated as knowledge bases.To this end, this phenomena has been effective, especially when these LMs are fine-tuned towards not just data, but also to the style or linguistic pattern of the prompts themselves.We observe that, satisfying a particular linguistic pattern in prompts is an unsustainable, time-consuming constraint in the probing task, especially because, they are often manually designed and the range of possible prompt template patterns can vary depending on the prompting task.To alleviate this constraint, we propose using a position-attention mechanism to capture positional information of each word in a prompt relative to the mask to be filled, hence avoiding the need to re-construct prompts when the prompts' linguistic pattern changes.Using our approach, we demonstrate the ability of eliciting answers (in a case study on health outcome generation) to not only common prompt templates like Cloze and Prefix, but also rare ones too, such as Postfix and Mixed patterns whose masks are respectively at the start and in multiple random places of the prompt.More so, using various biomedical PLMs, our approach consistently outperforms a baseline in which the default PLMs representation is used to predict masked tokens.
Pengadaan koleksi electronic resources di Perpustakaan Universitas Islam Negeri Sunan Kalijaga Yogyakarta

University Libraries are sources of electronic resources that are accessible to users. The literature search results show that few studies discuss electronic resource procurement in Indonesian libraries. This article aimed to determine the procurement of electronic resources collections at the Sunan Kalijaga State Islamic University (UIN) Library. The study used a qualitative approach with a descriptive research method conducted at the UIN Sunan Kalijaga Library. Data collection techniques used structured interviews with seven informants. The analysis results showed seven main findings in the procurement process for collecting electronic resources: the target, budgeting, user specifications, single sign-on authentication, the right team, content duplication, and communication with vendors. The library analyzed the contents of electronic resources to be purchased. Libraries use Ministry and Institutional Work Plan and Budget (RKAKL) funds in their budgeting. Subscriptions to electronic resources are specially for undergraduate and postgraduate students. The Single Sign-On authentication system used is EZproxy. The Procurement team consists of the head of the library, deputy head of the library, technical service coordinator, and general reference coordinator. The duplication-checking process is carried out based on the subject. In the communication process with vendors, the team has coordinated well. The research findings contribute to Indonesia's electronic resources procurement management practices.
Humanization in Educational Environments; Aspects Necessary for Living in School Today

While it is true, quality has always been measured through statistics and percentages, often forgetting the training of the whole person. Now, when we talk about issues such as humanism and education supported by technology, we can fall into extremes: it is common to label technology as the provider of all the evils of today's civilization; or the opposite assumption; to argue that incorporating technologies into education would be the panacea for all the problems it faces and finally, to assume that the subject of the humanities is more typical of actions and attitudes of the past than as a current need, giving vitality to any educational process. However, and fortunately for the educational community, today there are global efforts to make the educational task a human action that minimizes inequities and the abysmal differences that exist in countries like ours. Fernando Reimers says: “Equal educational opportunities must be the priority objective of educational policies, the aim of education must be to contribute to creating just societies. This requires improving the learning environments of the poor, but not only along the paths that have been started over the last decade. This aspect pointed out by Reimers is precisely the central aspect that all educational action must contemplate, the educational policies that are implemented in our country must guarantee, above all, the construction of a just and egalitarian society, strengthening the cultural wealth that we have, with respect to the diversity of people, their past, their present and especially their future.
Formation and Development of the Ecosystem of Innovative Education in the Region

The article actualizes and discusses the formation and development of the ecosystem of innovative education in the region, an attempt is made to substantiate such an ecosystem.The purpose of the study, the results of which are presented in the article, was to substantiate the methodology of the ecosystem approach in relation to the consideration of innovative education systems, the analysis of internal and external factors that influence innovation processes.The article notes that in the ecosystem of innovative education in the region, its subjects actively interact with any other subject in their joint innovation activities.The ecosystem of innovative education in the region is interpreted and refers to an integrated environment where all subjects (managers, teachers, methodologists, specialists in the field of IT-technologies, students, representatives of science) interact with each other, as well as with a variety of innovative products, technologies, methods learning and other elements of the educational ecosystem.Moreover, instead of exchanging energy between components (as is customary in natural ecosystems), information is exchanged in an educational ecosystem, especially an innovative one.In the logic of the ecosystem approach, innovative models of the cross-multidimensional organization of the educational process are proposed, when the educational environment is complemented, intersected and interacts with other spaces and environments that have an appropriate educational and developmental potential.The article presents and discusses the results of a study with the participation of forty-six managerial and pedagogical workers, aimed at identifying effective managerial and pedagogical practices to stimulate and implement the innovative activity of the subjects of the educational process.Also presented is information obtained using the Ishikawa causal diagram on a set of factors that restrain the participation of teachers in innovative activities, limiting their innovative activity.
The Effect of Using Comic Strips on Students' Motivation in Mastering Vocabulary

This study focused on teaching vocabulary by using comic strips in Al-Manar Modern Islamic Boarding School Banda Aceh. The aims of study are to investigate whether it is effective to increase students’ motivation in mastering vocabulary by using comic strips and to find out the obstacles faced by the students in using them. The total population of this research was 215 students. The samples of the research are students of class IIA consisted of 21 students of Al-Manar Modern Islamic Boarding School Banda Aceh. The data were obtained from the students by observation, interview, and test. Statistically, the final result of this study is effective. The post test scores are slightly higher than pretest. The researcher applied independent sample t-test calculation to test the hypothesis to analyze the data. The Degree of Freedom (df) is 20. At level of significant 5% and 1% (2,09 and 2,84), the score of t-test (t0) is bigger than ttable : 2,09 &lt; 4,87 &gt; 2,83. Consequently, the hypothesis is accepted. As the result, the hypothesis of this thesis is proved. Therefore, it is effective to increase students’ motivation in mastering vocabulary. It also shows that comic strips help them in learning vocabulary become easier. It can be concluded that teaching vocabulary by using comic strips can be a good motivation for the students. Students have motivation in increasing vocabulary by using it. It made them more spirit and they do not feel sleepy in the class. The class also can be more active. Hence, comic strips can be used to teach English vocabulary to the students. The obstacles faced by the students in using comic strips are limited time provided and the difficulty in memorizing and recognizing words.