Reviewerly/exHarmony huggingface dataset:
Abstractive Text Summary of COVID-19 Documents based on LSTM Method and Word Embedding

An abstractive summary is a process of producing a brief and coherent summary that contains the original text's main concepts. In scientific texts, summarization has generally been restricted to extractive techniques. Abstractive methods that use deep learning have proven very effective in summarizing articles in public fields, like news documents. Because of the difficulty of the neural frameworks for learning specific domain- knowledge especially in NLP task, they haven't been more applied to documents that are related to a particular domain such as the medical domain. In this study, an abstractive summary is proposed. The proposed system is applied to the COVID-19 dataset which a collection of science documents linked to the coronavirus and associated illnesses, in this work 12000 samples from this dataset have been used. The suggested model is an abstractive summary model that can read abstracts of Covid-19 papers then create summaries in the style of a single-statement headline. A text summary model has been designed based on the LSTM method architecture. The proposed model includes using a glove model for word embedding which is converts input sequence to vector forms, then these vectors pass through LSTM layers to produce the summary. The results indicate that using an LSTM and glove model for word embedding together improves the summarization system's performance. This system was evaluated by rouge metrics and it achieved (43.6, 36.7, 43.6) for Rouge-1, Rouge-2, and Rouge-L respectively.
PROBLEMATIKA GURU DALAM MENGGUNAKAN MEDIA PEMBELAJARAN PADA KURIKULUM 2013 (STUDI KASUS DI SD NEGERI 1 TAMAN AYU)

The purpose of this study is to describe the problem of teachers in using learning media in the 2013 curriculum at SDN 1 Taman Ayu, Gerung District. The research approach used is qualitative research with the type of case study research. Data collection techniques using interviews, observation and documentation. Data analysis used Milles and Huberman model data analysis. The results of the study indicate that the difficulties experienced by teachers include; 1) the difficulty of the teacher in choosing the media to be used. 2) Difficulties of teachers in using learning media 3) Difficulties of teachers in evaluating the use of learning media. the way the teacher overcomes these obstacles is to carry out reflection activities to restore student learning concentration, use student books, provide special guidance for students who have difficulties in understanding learning materials, evaluate media at other times. It can be concluded that teachers at SDN 1 Taman Ayu, Gerung Sub-district experienced problems in using learning media in the 2013 curriculum.
Images of Machines and Technology. Author’s Interpretations

The problem of interaction between machines and humans has been relevant at all times of human civilization’s development. This subject arose most acutely in the era of scientific and technical progress, giving rise to a wide problem field, many aspects of which still require scientific understanding. In this discussion, the researchers tried to analyze the situation of the widespread implantation of new technologies and machines into the art field. The integration of technology generates the necessity of the author’s interpretations about the relationship between the technological and the humanistic. The authors turned to the problem of identification and draw the boundaries of the human “I” in the era of computerization of many spheres of life, to the topic of technology’s images in cinema (Polish, American, documentary), to the image of industrialization in American art of the first half of the 20th century, to modern installations by A. Reichstein, to the screen media in the stage space, in the city, and even in the virtual environment (for example on incredibly popular TikTok platform). The authors conclude that machine civilization is closely intertwined with humans. The images of technology are overgrown with countless interpretations: they can act as a theme, device, context, decoration, character, conflict with humanity, fight for its prosperity, try to identify itself in the human world.
Harmonic HD 1000i Shears

Biomedical Safety & Standards: November 15, 2021 - Volume 51 - Issue 20 - p 156 doi: 10.1097/01.BMSAS.0000798384.25395.86
EDUCATIONAL EXAMPLE OF INFORMATION MASKING IN THE ACOUSTIC SIGNAL

The paper presents a steganographic method of hiding textual information in an audio file. Hiding is implemented by a program in Python. The introduction of individual letters of the text into the sound is carried out by the method of «the least significant bit». The program can be used for both educational and practical purposes. The commonly used wave library was used to work with sound files. It is not a library specialized for cryptographic and steganographic needs. Its use and the conciseness of the program code makes it possible to visualize the mechanism of hiding information in the classroom and demonstrate in the process of creating a program its debugging and testing. It is also important for educational purposes that working within the library allows you to see the state of an empty and filled audio container at the level of individual bits. To assess the practical value of the program, it was tested with texts of different lengths and with sound containers of different grades. In particular, the sound of a tuning fork, the sound of a guitar string, classical music, rap, jazz, and an audiobook were used. The experiment showed the correct reproduction of texts. It was found that if you listen carefully to the «pure sound» of the tuning fork, when the container is overloaded with information, suspicions of a text bookmark may arise. A text bookmark in the sound, in which the volume, tempo and frequency change quickly, does not reveal the suspicion of a possible bookmark. However, if the party who intercepted the masked message has guesses about how to bookmark the text, then the text is easily removed. Therefore, the use of the program for practical purposes requires additional manipulations in the code, in particular related to the order of text input and the choice of location. Additional text encryption is also desirable. Analysis of sound and its manipulation at the level of individual bits also has educational value in the sense that it gives an idea of the noise level, the magnitude of the useful physical signal and the sensitivity of the human ear. Key words: Python language, steganography, hiding information, masking information in an audio file, educational example.
Evaluation of LIDAR and Camera External Reference Calibration Methods

In the implementation of autonomous driving, high-precision maps and environment perception are required to support the driving process.They are commonly used to fuse image and point cloud data, but it is necessary to obtain the external parameters of the camera and radar when performing data fusion.However, the external parameters of the camera and radar can cause problems that can be solved by joint calibration.For fast, accurate acquisition of external parameters, a special three-plane calibration plate is designed to fit the spatial equations for each of three different planes passing through the initial point clouds in this study.The calibration plate is used to obtain the coordinates of feature points in the radar coordinate system through the spatial relationships and to extract the pixel coordinates of the feature points from the images to establish the corresponding equations.Finally, the least squares method is used to obtain the calibration parameters.The experimental results show that this method can obtain calibration results faster and more robustly than the traditional checkerboard grid calibration method.
Augmented Reality and Wireless Navigation Robot Implementation for Room Decoration Planning

This study aims to find a significant correlation between the work of a wireless navigation robot with Augmented Reality (AR) technology in the process of taking projection point of the room in conditions when the user doing a room decoration process in virtual and remotely. By utilizing the wireless robot feature in collaboration with an AR camera, users can directly control the robot to be directed to that location. The research methodology used is thematic analysis with an approach through direct observation. The AR method used is marker-based which will be attached to each wall. The program will detect the marker and receive a receiving signal to display the available three-dimensional furniture oject. The existence of a marker can lock the object not to move from its coordinate point. The robot is driven through the remote control system by the Visual Studio application, which will be forwarded to the bluetooth, microcontroller, and motor driver. While the camera installed on top of the robot is controlled via the Unity app, users can adjust the location and position of three-dimensional furniture virtually through the Unity application. In this study, it is concluded that users who needs to explore the overall room and doing a room decoration design through AR remotely, can be assisted by remote navigation robots.
PROFESSIONAL DIGITAL COMPETENCE IN LANGUAGE EDUCATION

This article aims to unpack the term ‘professional digital competence’ and similar notions in language teacher education, to explore the existing Digital Competence Frameworks and their constituents. We also targeted to identify the most relevant findings in terms of digital competence of university language teachers through the analysis of scientific production in specialized literatures in the last decade (2012-2022). A search was carried out on Scopus database. After applying the inclusion and exclusion criteria, the sample was made up of 11 articles. The main findings helped to reveal the list of aspects investigated in terms of technology enhanced-foreign language teaching.
Preface

2021 5th International Conference on Electrical, Automation and Mechanical Engineering (EAME2021) was held in virtual form via Tencent Meeting on September 17, 2021 due to current epidemic development and prevention and control policies. This virtual meeting aims to provide an academic sharing and exchanging platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Electrical, Automation and Mechanical Engineering. EAME2021 committee attach high importance on epidemic prevention and control under the general environment of normalized epidemic situation. And we adopt this virtual meeting for all interested attendee can choose to make oral and poster presentations. In order to avoid the uncertainties of online meeting, including software operation and network stability, etc., EAME2021 staff set the test room for attendees before formal opening for the keynote speaker and representatives to test their audio, video and check the stability of network connection. List of EAME 2021 Organization Committees are available in this pdf.
THE CORRELATION BETWEEN GRAMMAR COMPETENCY AND SPEAKING ABILITY OF THE EIGHTH GRADE STUDENTS IN SMPN 1 PALU

This research was motivated by the problems experienced by some of the eighth grade students in SMPN 1 Palu. The students still had some difficulties when expressing their ideas or feelings by using English. They had various reasons for this. Most of them said that grammar is one of the causes of their difficulties in speaking English.&#x0D; This research was a correlational design, the technique of collecting data using test. There were two kinds of test such as written test and oral test as the research instrument. The written test was used to measure students’ grammar competency and oral test was used to measure students’ speaking ability. The researcher used Pearson Product Moment Correlation in analyzing the data by using SPSS program 26 version.&#x0D; Based on the results of the correlation analysis between the students’ grammar competency and the students speaking ability, the r value was obtained at 0.407 (r &gt; 0.361) with p = 0.023 (p &lt;0.05) indicating that there was a significant positive correlation between students’ grammar competency and students’ speaking ability. This supported the alternative hypothesis to be accepted and the null hypothesis to be rejected. It could be concluded that there was a correlation between grammar competency and speaking ability at the eighth grade students of SMPN 1 Palu in the academic year of 2020/2021.
Performance of TyrerCuzick Model for Breast Cancer Risk Assessment among Pakistan’s Females

Background: Breast cancer incidence is highest in Pakistan among Asian countries. The known risk factors are family history, hormonal exposure, benign proliferative diseases, and high mammographic density which are included in the TyrerCuzick model. The model needs validation studies to implement in prediction, screening, and prevention strategies among different populations. This study aims to validate the TyrerCuzick model for Pakistan's females.&#x0D; Methods and Materials: A total of 317 biopsy-proven breast cancer patients from the breast surgery clinic at Liaquat National Hospital were included. The 10 years risk score is calculated by applying the TyrerCuzick model software. Subcategories of low risk &lt;2%, moderate risk 2-7%, and high risk &gt;8% were identified. Further risk group stratification is done to find the association with individual factors i.e., age group, menopausal status, family history, and mammographic density.&#x0D; Results: The mean TyrerCuzick score was low to moderate i.e. 2.23±1.66. The score was distributed as low risk 174(54.9%), moderate risk 137(43.2%), and high risk 6(1.9%). Low risk was observed among 116(81.7%) of less than 50 years old, 105(78.9%) premenopausal, 113(59.8%) with no family history, and 120 patients (59.7%) with low mammographic density. Most of the moderate risk was found in 113(64.6%) of more than 50 years old, 109(60.2%) with postmenopausal, 24(61.5%) with family history, 58(50%) with high mammographic density respectively.&#x0D; Conclusion: The TyrerCuzick model can predict risk for developing breast cancer among Pakistan’s femalesclose to accurate among older age, postmenopausal, family history of breast cancer, and high mammographic density.
Featured Cover

The cover image is based on the Research Article Fault-tolerant control of an aerial manipulator with guaranteed tracking performance by Yadong Ding et al., https://doi.org/10.1002/rnc.5863.
Cultural aspects of uncertainty phenomenon

The article examines the prerequisites for increasing uncertainty in the context of the globalization of society, and pays special attention to the definition, characteristics and features of the cultural aspects of the phenomenon of uncertainty. The reasons for the dominance of this phenomenon in the scientific, artistic, and everyday consciousness are clarified. The article substantiates the need to study the consequences of the implementation of the uncertainty principle in the fields of culture, education, and production.
Crytpo-Assets Regime in the European Area

The International Conferences on Economics and Social Sciences (ICESS)organized by Bucharest University of Economic Studies provide an opportunity for all those interested in Economics and Social Sciences to discuss and exchange research ideas. The papers presented at the Conference are available online in the Conference Proceedings series (ISSN 2704-6524): Volume 2019 Collaborative Research for Excellence in Economics and Social Sciences, ISBN 9788366675322 Volume 2020 Innovative Models to Revive the Global Economy, ISBN 9788395815072 Volume 2021 Resilience and Economic Intelligence Through Digitalization and Big Data Analytics, ISBN 9788366675704 During 2020, leaders found themselves at a historic crossroads, taking decisions under remarkable pressures and uncertainties. However, windows of opportunity are being created to shape the economic recovery, restore the health of the environment, develop sustainable business models, strengthen regional development, revitalize global cooperation, harness Industry 4.0, and redesign the social contracts, skills, and jobs. This conference provides an opportunity for all those interested in Economics and Social Sciences to discuss and exchange research ideas especially in the light of recent crisis determined by COVID-19. We welcome both empirical and theoretical work that is broadly consistent with the conference’ general theme. Especially, researchers, PhD
Statistical Study of Brazilian Solarimetric Measurements and Comparison with Satellite Models for Eventual Use in Feasibility Studies of Photovoltaic Solar Generation

In Brazilian Energy Sector, solar photovoltaic energy is increasing its importance. It presents itself as a promising alternative for supplying national electric demand. In order to develop a photovoltaic system, it is very important to know how solar resource behaves in a given place and its variability during the year. The objective of this study was to obtain data from a given number of solarimetric stations and to compare it with satellite data from the same places, analyzing the differences observed in order to assess its influence in the risks of the decision to construct a photovoltaic generation system. It was concluded that irradiation models presented high correlation coefficients with the typical meteorological year, higher than 0.90 for the less accurate and higher than 0.98 for the more accurate. Student's t test presented probability higher than 97% of the results to correspond to reality. Another conclusion indicates that models with higher correlation coefficient can be used in feasibility studies for decision making, with uncertainties smaller than measurement errors.
The Role of Employees Empowerment Strategy in Crisis Management: Applied Study in Public Company of Electrical Industrial

The current research aims to test the relationship linkage and the effect between the employees empowerment strategy and crisis management, the problem of the research is the role of employees empowerment strategy in crisis management in the state company of electrical industry. A questionnaire was used in data collection depending on the distribution of (58) questionnaire to the research sample. Data were analyzed using (SPSS) program. Using a number of statistical tools to test the research hypothesis. The research came out with a set of conclusions, one of the most important thinks was that there is a linkage and impact relation between employees empowerment strategy, it's variables (Information sharing, Freedom and autonomy, Replace hierarchical structure with self-employment teams) and crisis management as a whole. The research came out with many suitable recommendations.
Information, Assumptions, and Concepts

This chapter shows the interrelationships between the processes to analyze information, identify assumptions, or apply concepts. This chapter uses an example to show how Socrates DigitalTM examines the assumptions and the information they rest on simultaneously. If the user begins with analyzing information, then Socrates DigitalTM asks the user to provide a data item that is relevant to the analysis. Next, it asks the user to identify the underlying assumptions used to analyze the data. After identifying the assumptions, Socrates DigitalTM asks for the evidence that the assumption holds for a larger dataset.
The effect of college students' English learning using YouTube on their learning motivation and learning attitude

The purpose of this study was to explore the effect of English learning using YouTube on learning motivation and attitude of today’s college students, so-called digital natives’ living in the Corona era. A total of 113 university students from various majors participated in the study. During the twelve-week period of the study, students learned English outside of their online class sessions using YouTube in a self-directed and autonomous way. To examine the change of students’ motivation and attitude, an online survey was conducted at the beginning of the semester and at the end of the semester, then a paired sample t-test was performed. The survey questions regarding students’ motivation and attitude were created based on the Language Learning Orientation Scale (LLOS). Results of the study showed a significant improvement in both students’ intrinsic and extrinsic motivation regarding English learning using YouTube. As for the amotivation, there were not significant differences between pre and post survey results. Finally, there was an overall positive change in students’ attitude towards learning English. Based on the results of this study, pedagogical implications on using YouTube as a useful and educational tool for further studies are suggested.
Quantum Technologies

A summary is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Implementation of User Centered Design Method on e-Catalog Information System of UMKM in South Aceh Agency

The utilization of digital technology produces efficiency, effectiveness and accountability that can support the UMKM (Usaha Mikro, Kecil, Menengah) so that the Regional Government (PEMDA) in this case the Koperasi and UKM Office of South Aceh agency can contribute in providing services and education for UMKM which are expected to be able to improve productivity and profit of UMKM in their region. To using of the UCD (User Centered Design) model involves the user in the development process. This study focuses on the implementation of the use of the UCD development model after going through the evaluation process of the user context, analysis and design of solutions based on recommendations from users. Based on the evaluation results, it is known that the implementation of UCD method to the system have a good response from users.
From Intelligent Crawling to Inclusive Fact-Checking: An End-to-End System

In this article, we present an aggregation platform of journalistic contents based on an intelligent crawler of articles from Online Press, of an inclusive fact-checking approach and an Opinion Mining method. More than 300 000 press articles from more than 145 Senegalese online information websites have been collected, processed, analyzed, aggregated, stored, and classified by category and theme, thanks to Machine Learning. The primary objective in these researches is to provide Web surfers, mainly journalists and fact-checkers, with a unique platform aggregating all the data related to Senegalese current affairs with analysis options, display and fact-checking.