Reviewerly/exHarmony huggingface dataset:
MSCTD: A Multimodal Sentiment Chat Translation Dataset

Multimodal machine translation and textual chat translation have received considerable attention in recent years. Although the conversation in its natural form is usually multimodal, there still lacks work on multimodal machine translation in conversations. In this work, we introduce a new task named Multimodal Chat Translation (MCT), aiming to generate more accurate translations with the help of the associated dialogue history and visual context. To this end, we firstly construct a Multimodal Sentiment Chat Translation Dataset (MSCTD) containing 142,871 English-Chinese utterance pairs in 14,762 bilingual dialogues and 30,370 English-German utterance pairs in 3,079 bilingual dialogues. Each utterance pair, corresponding to the visual context that reflects the current conversational scene, is annotated with a sentiment label. Then, we benchmark the task by establishing multiple baseline systems that incorporate multimodal and sentiment features for MCT. Preliminary experiments on four language directions (English-Chinese and English-German) verify the potential of contextual and multimodal information fusion and the positive impact of sentiment on the MCT task. Additionally, as a by-product of the MSCTD, it also provides two new benchmarks on multimodal dialogue sentiment analysis. Our work can facilitate research on both multimodal chat translation and multimodal dialogue sentiment analysis.
The Influence of “Search Engine” Utilization Toward English Master Students’ Learning Culture

Search engines are tools to seek, identify and retrieve information on different websites. In this modern era, the changes of learning culture among higher education students are undeniable, especially on the use of internet. This paper aims to investigate the effectiveness of search engine utilization toward learning culture of English Master students of Universitas Ahmad Dahlan. The Participants were 10 students which consist of five males and five females. This research was under qualitative research followed by direct observation through semi-structured interview. Based on data interview, it showed that the participants are enthusiasm in using search engine. The result presents that search engine utilization has positive effects in enhancing students’ knowledge in the learning culture development. Furthermore, the utilization of search engine in improving the positive learning culture should be continued with different styles of educational approaches in the future.
PRESCHOOL EDUCATORS’ OPINIONS AND PRACTICES DURING THE IMPLEMENTATION OF EMERGENCY REMOTE TEACHING DUE TO THE PANDEMIC OF COVID-19

One of the consequences of the pandemic of Covid-19 was the closure of schools, forcing the implementation of education online. The present research project focuses on Greek preschool education and aims to analyze the actions, practices, and opinions of preschool education teachers during the Emergency Remote Teaching (ERT) in the school years 2019-2021. Moreover, the present study aims to compare the consecutive school closures and highlight their similarities and differences concerning the implementation of the ERT in Greek preschool education. The research project is taking into consideration multiple variables of the preschool teachers’ experience, such as the educational practices, partnership with parents, received support, perceived pros, and cons, suggestions for improvement of the ERT, as well as the attitudes and opinions on ERT and how it affected traditional teaching and the potential future complementary use of distance learning in kindergarten. The research was conducted with qualitative means.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0555/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
The Effect Of Audio-Visual Daily Reminder On Medicine Treatment Compliance In Tuberculosis Patients In Puskesmas Garuda, Bandung City.

Tuberculosis is an infectious disease caused by TB germs. Adherence to treatment requires the patient's active participation in self-care management and collaboration between the patient and the health care provider. One way that can be done to improve compliance is with a daily reminder using audio-visual media. To find out how the daily reminder audio-visual effect on medication adherence in patients with tuberculosis. This research is a Quasi Experimental two Group Pre-Posttest Design with control group in May 2021 with 60 respondents in the working area of ??the Garuda Puskesmas Bandung City. Medication adherence was measured using the MMAS (Morisky Medication Adherence Scale) questionnaire with 8 question items. The description of the level of adherence to taking medication in the intervention group before being given an audio-visual daily reminder showed a low level of adherence (score &lt;6) as many as 28 respondents (93.3%) and after being given the daily audio-visual reminder it increased to moderate adherence as many as 12 respondents. (40.0%) and high compliance 12 respondents (40.0%). The level of adherence to taking medication in the control group before being given the intervention showed low adherence by 15 respondents (50.0%) and after being given the leaflet the level of adherence remained in the low category as many as 13 respondents (43.3%). The results of this study indicate that there is a significant effect of the results of the daily reminder audio-visual intervention on medication adherence in tuberculosis patients
DIGITAL TEACHER COMPETENCE DIMENSIONS: EXPERIENCES OF NORWEGIAN PRESERVICE TEACHERS

&lt;p&gt;Most Norwegian preservice teachers are required to perform assignments relating to digital competence during their education. In this article, one such mandatory student assignment is used to explore students’ interpretations of digital teacher competence. In a study programme for future primary and lower secondary school teachers, second-year social studies students were required to develop digital teaching arrangements, apply these arrangements during their teaching practice, and finally share their experiences with their peers in online presentations. In the present study, these student presentations are used to examine how future teachers understand digital teacher competence, and a model consisting of five digital teacher dimensions is suggested. This way, the article aims to provide students and teacher educators with a conceptualisation of digital teacher competence.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0587/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
The Correlation between Students' Preferences and English Achievement in Hybrid Learning during Covid-19 Pandemic

The objective of this study was to investigate the correlation between university students’ preferences and their English achievement in hybrid learning. Correlational research design was utilized in this research. The participants of this study were 77 students from three universities in Pekanbaru, Riau. Random sampling technique was applied in choosing the participants in this study. The researcher collected the data of this study through questionnaire and achievement test. Descriptive statistical analysis namely correlation and regression analysis were applying to analyze the quantitative data. The findings revealed that there was a significant correlation between students’ preferences on their English achievement in hybrid learning with p-value 0.000&lt;0.05 and correlation coefficient was 0.723. This result was categorized as a high or strong correlation. In addition, regarding to the results of regression analysis, R square was 0.522 which mean the influence percentage of university students’ preferences to students’ English achievement was 52.2%. The conclusion of this study that there was a strong correlation between students’ preferences in hybrid learning and their English achievement during COVID-19 pandemic.
Analysis of Bias in NLP Models With Regression and Effect Sizes

In recent years, there has been an increasing awareness that many NLP systems incorporate biases of various types (e.g., regarding gender or race) which can have significant negative consequences. At the same time, the techniques used to statistically analyze such biases are still relatively simple. Typically, studies test for the presence of a significant difference between two levels of a single bias variable (e.g., male vs. female) without attention to potential confounders, and do not quantify the importance of the bias variable. This article proposes to analyze bias in the output of NLP systems using multivariate regression models. They provide a robust and more informative alternative which (a) generalizes to multiple bias variables, (b) can take covariates into account, (c) can be combined with measures of effect size to quantify the size of bias. Jointly, these effects contribute to a more robust statistical analysis of bias that can be used to diagnose system behavior and extract informative examples. We demonstrate the benefits of our method by analyzing a range of current NLP models on one regression and one classification tasks (emotion intensity prediction and coreference resolution, respectively).
Non-criteria expertise of research projects: Typed examples

The article focuses on the academic expertise. Various types of assessment are considered. The author studies the evaluation’s violations and systematizes them in the phenomenon of expertise’s criteria declining. So, it is no coincidence the special attention is paid to the expertise’s parameterization. This work is the result of its author experience – for more than 20 years – with dozens of research institutions in different countries. Findings and outcomes can be used both by the expertise-holders (the definition of this publication’s author) in various fields of this kind of research activity and by the projects /text’s contributors.
Negative types of authors and their manuscripts in Russian academic periodicals for Humanities and Social Sciences

The author based on his experience revealed a typology of quasi-professional researchers and their manuscripts, which are submitted in the Russian academic periodicals for Humanities and Social Sciences. Different methods of declining quality in the context of violation of academic ethics are considered, about 30 kinds of them have been identified. Each of these examples complicates the peerreview process (perhaps without the obtaining of final result). This research has some perspectives to be kind of an academic guide for academic periodicals’ management and for its contributors. Thanks to this project, as its author believes, it is possible to reduce the organizational and time costs for evaluating manuscripts submitted in modern academic periodicals for Humanities and Social Sciences, as in Russia as so in some foreign countries.
Development of methods and technologies for creating intelligent scientific and educational internet resources

The purpose of this work is to develop methods, technologies and tools for creating and maintaining intelligent scientific and educational internet resources (ISEIR) based on a service-oriented approach and Semantic Web technologies. The main purpose of ISEIR is to provide meaningful access to scientific and educational information resources of a given field of knowledge and integrated information processing services. According to the preliminary concept, an intelligent scientific and educational internet resource will be an information system accessible via the internet which provides ontology-based systematization and integration of scientific knowledge, data and information resources into a single information space together with a meaningful effective access to them as well as supporting their use in solving various scientific and educational tasks. ISEIR is equipped with an ergonomic web-based user interface and special editors designed to manage the knowledge integrated into it. The proposed approach to the construction of intelligent scientific and educational internet resources is the basis for the developed technology in creating and maintaining information environments for distributed learning.
An insight into the intricacies of lingual paraphrasing pragmatic discourse on the purpose of synonyms

The term "paraphrasing" refers to the process of presenting the sense of an input text in a new way while preserving fluency. Scientific research distribution is gaining traction, allowing both rookie and experienced scientists to participate in their respective fields. As a result, there is now a massive demand for paraphrase tools that may efficiently and effectively assist scientists in modifying statements in order to avoid plagiarism. natural language processing (NLP) is very much important in the realm of the process of document paraphrasing. We analyze and discuss existing studies on paraphrasing in the English language in this paper. Finally, we develop an algorithm to paraphrase any text document or paragraphs using WordNet and natural language tool kit (NLTK) and maintain "Using Synonyms" techniques to achieve our result. For 250 paragraphs, our algorithm achieved a paraphrase accuracy of 94.8%.
Noise resistance evaluation of spatial-field optical flow using modifying Lorentzian function

This paper presents the evaluation of the modifying Lorentzian function on the spatial-field optical flow to examine the validity in the noisy domain of motion estimation. In the routine of the motion estimation, the frame’s motion vector is estimated by the optical flow approach where the flow of the image’s frames is caught to estimate the motion vector. Nevertheless, in the noisy domain, the preciseness of the motion vector is weakened. We operated the measurement along with several non-Gaussian noises standards through several styles of the standard image frame. The determination on error vector magnitude (EVM) was taken into account to consider the preciseness of direction and length of the motion vector (MV) in comparison with various noise resistance techniques in spatial-field optical flow approach. In the achievement results, we found that this modifying Lorentzian norm function added up in the optical flow strengthen the degree of preciseness in the estimation of the spatial-field optical flow approach in the noisy domain.
Perjuangan Tokoh dalam Novel “Ibu Ketika Surga itu Harus Pergi” Karya Utami Panca Dewi (Analisis Sosiologi Sastra)

The research objectives are 1) To describe the elements of the characters, characterizations, settings, and plots that shape the struggles of the characters in the novel "Ibu Ketika Surga Itu Harus Pergi" by Utami Panca Dewi. 2) Describe the struggles of the characters in the novel "Ibu Ketika Surga Itu Harus Pergi " by Utami Panca Dewi. 3) Describe the implementation of the results of the struggles of the characters in the novel " Ibu Ketika Surga Itu Harus Pergi " by Utami Panca Dewi in learning literature in Junior High School. The research used is qualitative research, namely finding something useful based on existing facts, by producing descriptive data. The method used in this research is the sociology of literature method. The conclusions obtained from the research of the dominant struggle are the values of patience and unyielding spirit. For the analysis of the sociology of literature there are aspects of beauty, history, and sociology. In addition, the relationship between the author and society is also influential in the sociology of literature research. Social background, ideology, and social integrity influence authors in making novels. The relationship with the community in the story shows that the sense of social, familial, empathetic, and caring is still very high.
Pengaruh Persepsi atas Model Pembelajaran dan Kecerdasan Linguistik terhadap Kemampuan Menuilis Teks Cerpen

The purpose of this study was to analyze the effect of perceptions on learning models and linguistic intelligence on the ability to write short stories. The research method used is a survey research method with multiple regression analysis. The research sample amounted to 50 people. The results of this study illustrate: (1) There is a significant effect of perception on the learning model and linguistic intelligence on the ability to write short stories for state high school students in Sukabumi District. (2) There is a significant influence on the perception of the learning model on the ability to write short stories. (3) There is a significant influence of linguistic intelligence on the ability to write short stories. Keywords: Learning Models, Linguistic Intelligence, Short Stories Text
Aktualisasi Diri dan Nilai Pendidikan dalam Novel Bocah Penghalau Kera Karya Sintha Rosse Kamlet

This study aims to analyze self-actualization and educational values contained in Sintha Rosse's Dendam si Yatim Piatu novel based on Abraham Maslow's humanistic psychology. The research method used was descriptive qualitative method and content analysis technique. The results showed: 1) Self actualization was found to be more dominant in this novel as much as 60% % while the value of education was 40%. Eight groups of characters who show self-actualization are found entirely in this novel. The most dominant self-actualization, namely. From the self-actualization data found in the novel Bocah Penghalau Kera, there are 8 groups of self-actualization, starting with the most frequently occurring ones: (1) independence-independence 25 quotes (23.81%), (2) peak experience 18 quotes (17.14 %), (3) focused on democratic issues 16 quotes (15.24%), (4) creativity-appreciation 15 quotes (14.29%), (5) interpersonal relations-acceptance 11 quotes (10.48%), (6) social reality-awareness 10 quotes (9.52%), (7) spontaneity-sense of humor 6 quotes (5.71%), (8) needing solitude 4 quotes (3.81 %). The most common educational value found was the value of divinity education, which was 36 quotes (51.43%), followed by the value of moral education as many as 12 quotes (17.14%), the value of aesthetic education as many as 10 quotes (14.29%), the value of social education is 8 citations (11.43%), and the value of cultural education is 4 citations (5.71%). In this novel, the author provides an example of making life more meaningful through self-actualization of the protagonist, maximizing all his efforts, developing his talents and potentials, never giving up on achieving his goals and achieving the desired success. The author also conveys good values so that readers can wisely take lessons that are expected to be applied in everyday life. Keywords: self-actualization, educational value, pshycology, character, novel Bocah Penghalau Kera
Effects of Crypto Currency in India

Crypto currency is an innovative concept of decentralized virtual currency. It has turned out to be а new venue of investment instrument in Indiа similar to gold.. This study focuses on understanding what cryptocurrency is all about and its impact.
Personal Virtual Assistant (“DANI”)

Smart voice assistants are gadgets that connects to the Internet, listen to their location and also respond to the instructions given by users to extract information online, manage resources, or notify the user with incoming messages, reminders, and the like.With their growing visibility in smart homes, their app seems to be limited only by the imagination of developers, who connect this off-the-shelf device to existing programs, Internet resources, or electronics.However, as their location is easy to use in their home, their location also raises concerns about user safety and privacy.In order to justify the trust placed on devices, devices must be protected from unauthorized access and the background infrastructure provided for speech and text analysis, command interpretation, and communication of other services and electronic devices must maintain data privacy.To investigate current risks, mitigation measures, and common assumptions in this emerging field, add recent research findings to the results of systematic reviews.We were able to compile a list of six main types of user privacy risks, which slightly confirm previous findings, but also find additional problems.We discuss these threats, their associated attack vectors, and the limits users can take to protect themselves are data retention, processing and storage of data, Side Channel Attacks, Attacks on Voice Models using Adversarial Samples.
Multilingual Speech and Text Recognition and Translation

The automated translation of one human speech into another is referred to as "machine translation."The primary goal is to cross the linguistic gap between people from different cultures, neighborhoods, or countries.There are 18 major texts and ten scripts that are commonly used.Because the majority of Indians, especially remote dwellers, could really know, read, or write English, a better language translator is essential.Machine translation systems that convert one content into another will benefit Indians, allowing them to live in a more intelligent society without language barriers.Because English is a global language and Hindi is the native tongue spoken by the vast majority of Indians, we posit an English to Hindi autoencoder based on runs.(RNN), LSTM (Long-term Memory), but also attention processes "Machine translation" automatic object transcription of one basic language into another.The primary goal is to bridge a linguistic divide between different native languages, groups, or countries.There are 18 languages and ten commonly used scripts.
Image Processing for Secure ATM

Image Processing is Secure structure.Image Processing structure contains picture check, finger inspect.Image recognition presents a challenging problem in the field of image analysis and computer vision.The security of information is becoming very significant and difficult.The image planning is progressively balanced system.Secure Automated Teller Machine by picture taking care of is assume control over a huge segment of the bank ATMs.In private and government territories.The image taking care of is very frustrated structure incorporated many numbers of mixed technique.The image planning from admiting the information to presentation of the screens.This present system's essential target is to develop a structure that is used for ATM security applications.Dealers are gathering customer fingerprints in these systems Nowadays, there has been wide advancement in oneself organization banking structure with the component offering splendid 24/7 customer organization.Though banking becomes easier today with the support of ATMs, it also became vulnerable.There have been countless cases of abuse that have occurred in banking transactions.Thus, there is an essential need to provide high security for banking transactions.This paper proposes an improvement computation for the affirmation and planning of one-of-a-kindimprints structures.An essential development in customized novel finger impression organizing is to normally and constantly definitely arrange the finger impression picture redesign estimation input finger impression, apply a great deal of transitional steps to the information picture, finally yield the improved picture.