Reviewerly/exHarmony huggingface dataset:
The Transformation and Upgrading of English Teaching Modernization under the Background of Information Technology

With the development of Information Technology, English teaching system has realized intelligent innovation and all-round development, especially by paying attention to students' learning demands and integrating all kinds of teaching resources, it realizes the essential optimization of English teaching ecology. Therefore, based on the mature application of information technology, it is of great practical significance to focus on the transformation and upgrading of English teaching modernization. Based on the trend of modernization and transformation of English teaching under the background of information technology, this paper puts forward some corresponding upgrading strategies and suggestions.
ORGANIZATIONAL TRANSPARENCY AND ITS IMPACT ON SERVICE QUALITY - AN EXPLORATORY STUDY OF THE OPINIONS FOR LEADERS OF THE FIRST KARKH EDUCATION DIRECTORATE

This research aims to examine the correlation and the impact of Organizational Transparency on Service Quality in the first Karkh Education Directorate, Starting from the importance of research in public organizations and the importance of these organizations to the community, it is rely descriptive analytical methods in achievement of this research, the research involved board of directors, Data has collected from (48) respondents, represent the respondent society exclusively and comprehensively, it involved the general directors, assistant general directors and heads of department and their assistants, The research relied programs (Excel 2010, Spss V.28), moreover, some of descriptive statistics methods to test research's Hypotheses (Mean , St .D, KMO , Correlation and Regression), The researcher is attain to the existence of relationship and impact of Organizational Transparency in Quality of Work , the research included four axes first went to the methodology and second to theoretical frame and the third to view and analyze the results and test hypotheses while the fourth was devoted to the conclusions and recommendations.
Research on interactive innovation of computer-aided music teaching

Music education is an important subject that deepens five education and promotes students' art accomplishment and humanity cultivation in an all-round way, which is of great practical value to improve students' comprehensive quality. In the context of wisdom education, it will provide strong support for students to participate in music teaching deeply by giving full play to the advantages of computer-aided instruction and building an interactive platform for music teaching. By studying the value of interactive innovation in computer-aided music teaching, this paper puts forward the interactive innovation strategy of computer-aided music teaching.
Application of PBL pedagogy based on virtual reality technology in the teaching of sports anatomy

Purposes To explore the teaching effect and value of virtual reality technology combined with PBL teaching method applied to sports anatomy.Procedures 119 undergraduate students majoring in physical education of Xianyang Normal University were selected as research objects.Randomly divided into experimental group (N=59) and control group (N=60).Methods The experimental group used virtual reality technology combined with PBL teaching method, and the control group used traditional teaching method to teach. At the end of the course, the test scores of the two groups and the evaluation results of self-learning effect were statistically analyzed. Results the test scores of the students in the experimental group were significantly higher than those in the control group (P&lt;0.05); Most of the items in which the experimental students self-evaluated the learning effectiveness were also superior to the control group (P&lt; 0.05), and the difference was statistically significant. Conclusions VR technology combined with PBL teaching method can improve academic performance, enhance students’ learning interest and independent learning ability, and cultivate students’ ability to find and solve problems. It is a teaching method worth promoting.
Analysis of willingness and influencing factors of nursing undergraduates to engage in elderly service management

Under the background of population aging, the development of pension industry urgently needs colleges and universities to cultivate highlevel elderly service management talents. In this paper, 513 nursing undergraduates were investigated with self-made questionnaire. The results showed that the overall willingness of nursing undergraduates to engage in elderly service management was not high, and there was a significant difference in the willingness of nursing undergraduates with different demographic characteristics (P &lt; 0.05). On the basis of in-depth analysis of influencing factors, the article holds that we should actively promote the cultivation of senior service management personnel at undergraduate level by guiding students to establish a sense of honor, enhancing their professional cognition of pension service, and reasonably positioning the training objectives to adapt to the professional development of nursing undergraduates.
THE ROLE OF THE GREEN OCEAN STRATEGY IN MEDIATING STIMULATING CONTINUOUS INNOVATION TO ACHIEVE STRATEGIC VICTORY: AN EXPLORATORY STUDY IN THE GENERAL COMPANY FOR LEATHER INDUSTRIES

The management of the General Company for Leather Industries faces in its work in the local market a constant state of competition; whether it is from competing companies or products imported from different countries, in addition to changes in customer tastes and the acceleration of the pace of designs and environmental variables, which requires the adoption of a green ocean strategy to help the company face those challenges, Hence, the research problem crystallizes on how the green ocean strategy that employ to achieve strategic victory by adopting stimulating Continuous innovation in the General Company for Leather Industries. The goals that it seeks to achieve indicate the objectives of the research. A questionnaire was adopted and distributed to (84) samples of employees of the General Company for Leather Industries in the city of Baghdad. To measure the results of the influence relationship. The research concluded that there is an influence relationship of the green ocean strategy on the strategic victory and a positive effect to stimulate Continuous innovation. The study recommends adopting the green ocean strategy as an approach followed by the management of the General Company for Leather Industries to increase the creative ideas that help it reach and maintain the strategic victory
Android application development teaching reform based on innovation ability training

Under the background of training and construction of innovative talents in new engineering, taking the Android application development course of Internet of things engineering in our university as an example, this paper explores the innovative ability training mode of programming application development courses under the background of new engineering from five aspects: project-based course teaching, enterprise training, competition driving, development project inspection and improvement, and diversified assessment methods, Gradually formed a “five in one” new teaching mode of two wheel drive. After two years of teaching reform practice, it has achieved obvious reform results from the aspects of students’ learning enthusiasm, students’ participation in competition and project development ability, and achieved the teaching effect of cultivating innovative ability.
The Importance of Introducing Innovations in the Teaching of Informatics and Computer Science in Primary School

The paper presents the importance of introducing innovations in the teaching of informatics and computer science, which is studied in primary schools.Given the rapid development of science and technology and the availability of these new technologies to today's new generations, there is a need to change the way we approach the students' upbringing and education.The introduction of innovations in the teaching process, primarily computers and computer technologies, encourages greater motivation and interest of students to acquire new knowledge and to study teaching materials, as well as check previously acquired knowledge.The justification for introducing innovative methods in teaching the subject of informatics and computer science has been proven on a concrete example through the usage of the application "InfoZNANJE".This application was created with the aim of enriching and improving the teaching of the subject in which it is applied, and its functionality is reflected in solving pre-prepared interactive tests in a digital form adapted to the age of students and the class they attend.
“Planning” and “construction” of the renovation of the open-air swimming pool

The paper combined with the actual situation of setting up outdoor swimming pool facilities in the school analyzes and studies the design content of the preliminary positioning, engineering design, construction design and operation use from the positioning, design, cost, energy saving, management, operation and other aspects of the transformation concept of “planning” and “construction”, and provides a reference for the design of the outdoor swimming pool in the school.
Muography of the Active Sakurajima Volcano: Recent Results and Future Perspectives of Hazard Assessment

Sakurajima volcano is one of the world's most active volcanoes with over 3,000 of explosive eruptions during the last five years.A muography observatory is under construction in international collaboration since 2017 at a distance of approx.2,800 m in south-west direction from the active craters.Currently, the Sakurajima Muography Observatory is operating with 11 Multi-Wire-Proportional-Chamber-based Muography Observation Systems that are covering a sensitive surface area of 8.25 square meters.This work is focusing on the volcanological implications of muographic monitoring of Sakurajima: (i) tephra deposition, and erosion of the surface region exist due to heavy rains and post-eruptive lahars; (ii) magmatic plug formation was observed beneath the active craters after the deactivation of Showa crater in 2018 and after a dormant period of Central craters in 2020; (iii) machine-learning-based processing of daily muographic images achieved a fair area under the receiver operating characteristic curve score of 0.76.
Analysis on teacher teaching evaluation system based on clustering constant modulus

It is compiled by referring to some dimensions of cartel 16 personality factors questionnaire (16PF) and combined with the current situation of teachers in vocational colleges. Six dimensions are designed, which are communication and expression, innovation, persistence, manual operation, teachers’ professional identity and intelligence. The clustering algorithm is used to simulate and analyze the data system and establish the big data norm. In addition to describing the whole from the data of centralized trend and discrete trend, it can also describe the position of each individual score in the whole. Here, the concept of overall distribution is used to describe the overall data state by presenting the distribution diagram.
Application of Multimedia Network Technology in Preschool Education Informatization

By means of information, fully integrating high-quality teaching resources and promoting the construction of pre-school education information, it is not only a change of promoting education and teaching mode, but also a vivid embodiment of the scientific upgrade of the concept of home interaction. In the informationization of pre-school education, the full application of multimedia network technology has broadened the space of pre-school education, built a home-based cooperative bridge, and created a new intelligent pre-chemical education environment, the ecology of preschool education has been completely reconstructed. This paper analyzes the application value of multimedia network technology in preschool education informationization, and puts forward some concrete application strategies.
Using ARIMA and BP neural network to analyse incidence rate of AIDS in China

To analyse the characteristics of AIDS transmission from incidence, we used ARIMA and BP neural networks to model the incidence of AIDS and predict them based on modelling. When the sequence is a small sample sequence and instability, the input of the BP neural network can use raw data or stationary sequence in the ARIMA. When using the stationary sequences of incidence as the input of the BP neural network, we can obtain the output corresponding to raw data by matrix operations. Results show that raw data combined with the stationary sequences as the input of the BP neural network can get better modelling results. Moreover, all the predicted values fall within the 95% CI of the ARIMA model. Although there was also a study (reference 14) using BP to predict the incidence of AIDS, it is the original used stationary series as the input of BP in this study.
Developing Interactive Multimedia for Teaching Reading Comprehension on Narrative Texts Based on South Sumatera Local Culture

The objectives of this study were to find out the validity, practicality, and effect of interactive multimedia for teaching reading comprehension on narrative texts based on South Sumatera local culture. This reasearch was development research by adapting the ADDIE model consisting of analysis, design, development, implementation, and evaluation. The subjects of this study were 25 fourth-semester students of Tridinanti University. This study found that The interactive multimedia for teaching narrative texts based on South Sumatera local culture were valid in terms of its contents, construct and after evaluated by three experts review. The total average score of the validity was 3.53. It was indicated at high validity level. This media was practical after evaluated in one-to-one evaluation with an average score (3.63) and small group evaluation with an average score (3.78). It was indicated at high practical Level. Moreover, it also had a potential effect after tried out in field test. It was determined by the result of students’ achievement in reading comprehension test since 72 % of the students pass.
ANALISIS KEBUTUHAN PENGEMBANGAN MEDIA PEMBELAJARAN DARING PADA MATA KULIAH LITTÉRATURE FRANÇAISE BERBASIS CANVA

Abstract Learning the Littérature Française course online is relatively monotonous and less interesting. This is indicated by the stunted attention and participation of students in attending lectures. This has an impact on the poor learning achievement for the subject which in turn is one of the causes of the low language skills of students. To overcome these problems, it is necessary to develop an interesting and a creative online learning media based on Canva application in order to increase student’s learning outcomes in the Littérature Française course. This article discusses the result of need analysis of developing the Canva-based online learning media in Littérature Française course which is the basis for the importance of this development research.Keywords: developing, media, online, canva, need analysis
Forms and Means of Information and Communication Support for Students of Mathematics in the Pedagogical Institution of Higher Education

The article is devoted to the forms and means of information and communication support for students of mathematics in the pedagogical institution of higher education. The main purpose of the article is to define and characterize the forms and means of information and communication support for teaching mathematics in a pedagogical institution of higher education. To achieve this goal, the authors used the following research methods: analysis and generalization of scientific and methodological sources, government documents on the research topic for theoretical justification of the problem, modeling, synthesis of data. The results. The introduction to this article presents a theoretical analysis of educational technologies, in particular, highlights the «information technology» and defines the essence of this concept. The authors define the pedagogical goals of the use of information technology, as well as provide a classification of pedagogical software. The article highlights and substantiates computer training programs used in higher education institutions in the study of some disciplines, which by their purpose are divided into control (tests, questionnaires, etc.), reference and information (databases, dictionaries), modeling and electronic textbooks. In the process of analysis, the means of information and communication support for teaching mathematics in a pedagogical institution of higher education are identified: computer training and control programs (electronic textbooks, workshops, test systems, simulators), expert systems, electronic libraries, telecommunications, e-mail, teleconferences) and multimedia systems. Conclusions. The authors proved that spreadsheets and integrated mathematical packages can also be widely used in teaching students of mathematical disciplines. Integrated mathematical packages such as Matlab, MathCad, Maple, Mathematica are singled out and briefly described. It is noted that one of the leading types of ICT is computer telecommunications, in the system of mathematics education the use of the following types of computer telecommunications as teleconferencing, e-mail, electronic bulletin board and other Internet capabilities is quite possible. So, modern MultiMedia tools allow you to create a variety of information environments that increase the level of emotional perception of information, and to develop the ability to implement various forms of independent activities for information processing.
Probabilistic framework for solving Visual Dialog

In this paper, we propose a probabilistic framework for solving the task of `Visual Dialog'. Solving this task requires reasoning and understanding of visual modality, language modality, and common sense knowledge to answer. Various architectures have been proposed to solve this task by variants of multi-modal deep learning techniques that combine visual and language representations. However, we believe that it is crucial to understand and analyze the sources of uncertainty for solving this task. Our approach allows for estimating uncertainty and also aids a diverse generation of answers. The proposed approach is obtained through a probabilistic representation module that provides us with representations for image, question and conversation history, a module that ensures that diverse latent representations for candidate answers are obtained given the probabilistic representations and an uncertainty representation module that chooses the appropriate answer that minimizes uncertainty. We thoroughly evaluate the model with a detailed ablation analysis, comparison with state of the art and visualization of the uncertainty that aids in the understanding of the method. Using the proposed probabilistic framework, we thus obtain an improved visual dialog system that is also more explainable.
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

Deep learning has solved a problem that as little as five years ago was thought by many to be intractable - the automatic recognition of patterns in data; and it can do so with accuracy that often surpasses human beings. It has solved problems beyond the realm of traditional, hand-crafted machine learning algorithms and captured the imagination of practitioners trying to make sense out of the flood of data that now inundates our society. As public awareness of the efficacy of DL increases so does the desire to make use of it. But even for highly trained professionals it can be daunting to approach the rapidly increasing body of knowledge produced by experts in the field. Where does one start? How does one determine if a particular model is applicable to their problem? How does one train and deploy such a network? A primer on the subject can be a good place to start. With that in mind, we present an overview of some of the key multilayer ANNs that comprise DL. We also discuss some new automatic architecture optimization protocols that use multi-agent approaches. Further, since guaranteeing system uptime is becoming critical to many computer applications, we include a section on using neural networks for fault detection and subsequent mitigation. This is followed by an exploratory survey of several application areas where DL has emerged as a game-changing technology: anomalous behavior detection in financial applications or in financial time-series forecasting, predictive and prescriptive analytics, medical image processing and analysis and power systems research. The thrust of this review is to outline emerging areas of application-oriented research within the DL community as well as to provide a reference to researchers seeking to use it in their work for what it does best: statistical pattern recognition with unparalleled learning capacity with the ability to scale with information.
Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts

Automatic text summarisation has drawn considerable interest in the field of software engineering. It can improve the efficiency of software developers, enhance the quality of products, and ensure timely delivery. In this paper, we present our initial work towards automatically generating human-like multi-document summaries from heterogeneous software artefacts. Our analysis of the text properties of 545 human-written summaries from 15 software engineering projects will ultimately guide heuristics searches in the automatic generation of human-like summaries.
Learning to Learn Semantic Parsers from Natural Language Supervision

As humans, we often rely on language to learn language. For example, when corrected in a conversation, we may learn from that correction, over time improving our language fluency. Inspired by this observation, we propose a learning algorithm for training semantic parsers from supervision (feedback) expressed in natural language. Our algorithm learns a semantic parser from users' corrections such as "no, what I really meant was before his job, not after", by also simultaneously learning to parse this natural language feedback in order to leverage it as a form of supervision. Unlike supervision with gold-standard logical forms, our method does not require the user to be familiar with the underlying logical formalism, and unlike supervision from denotation, it does not require the user to know the correct answer to their query. This makes our learning algorithm naturally scalable in settings where existing conversational logs are available and can be leveraged as training data. We construct a novel dataset of natural language feedback in a conversational setting, and show that our method is effective at learning a semantic parser from such natural language supervision.
A Walk-based Model on Entity Graphs for Relation Extraction

We present a novel graph-based neural network model for relation extraction. Our model treats multiple pairs in a sentence simultaneously and considers interactions among them. All the entities in a sentence are placed as nodes in a fully-connected graph structure. The edges are represented with position-aware contexts around the entity pairs. In order to consider different relation paths between two entities, we construct up to l-length walks between each pair. The resulting walks are merged and iteratively used to update the edge representations into longer walks representations. We show that the model achieves performance comparable to the state-of-the-art systems on the ACE 2005 dataset without using any external tools.