Reviewerly/exHarmony huggingface dataset:
Towards a smart University in the light of 21st century skills

In the recent years, the accelerated development of knowledge and the changeable demands of the technological learning put the educators on the face of many challenges. The 21st century skills promote the competitiveness and innovation capabilities of the organization. These skills are crucial for sustainability and development of organization. The main objective of this study is to evaluate the ownership degree of the faculty members at Al-Aqsa University of 21st century skills to propose a vision to transform Al-Aqsa University into a smart university in the light of the 21st century skills. The results show that (79.3%) of faculty members have high ownership degree of 21st century skills regardless of the specialization and academic degree; these skills are one of the most important elements for the transformation to smart universities. في السنوات الأخيرة، وضع التطور المتسارع للمعرفة والمتطلبات المتغيرة للتعلم التكنولوجي التربويين في مواجهة العديد من التحديات. وتعتبر مهارات القرن 21 من أهم المهارات التي تعزز القدرة التنافسية والإبداعية للمؤسسات هذه المهارات ضرورية لمواجهة تحديات العصر ومهمة لاستدامة وتطوير المؤسسات. ويعتبر الهدف الرئيسي من هذه الدراسة هو تقييم درجة امتلاك أعضاء هيئة التدريس في جامعة الأقصى لمهارات القرن الحادي والعشرون واقتراح رؤية لتحويل جامعة الأقصى إلى جامعة ذكية في ضوء مهارات القرن الحادي والعشرون، وأظهرت النتائج أن (79.3%) من أعضاء هيئة التدريس يمتلكون درجة عالية من مهارات القرن الحادي والعشرون بغض النظر عن التخصص والدرجة الأكاديمية؛ هذه المهارات هي واحدة من أهم عناصر التحول إلى جامعات ذكية.
PENGGUNAAN METODE SCAMPER TERHADAP HASIL BELAJAR PESERTA DIDIK KELAS IV

This study objective was to investigate the effect of using SCAMPER method on learning outcomes of fourth graders at Public Elementary School number 05 Indralaya. This study used quasi-experiments with the type of design of the One Group PreTest PostTest Design. The samples were237, 4th graders of public elementary school. Data-collecting techniques used were tests multiple choice. The results showed, the mean fare pretest written were 52,52. While the mean fare that Posttest value were 84,17. The result of test, obtained tcount = 3,9 while ttable = 0.413 with a significant level of 0.05 (5%). Finally, ttable then Ho was rejected and Ha was accepted. Then it could be concluded that there is an positive effect of using SCAMPER method on learning outcomes.Keywords: the effect, SCAMPER method learning outcomes
Preparing a law teacher to implement the goals and content of the subject

The paper examines the features of the training and activities of a law teacher in the context of the Russian legal tradition. The author concludes that teaching law based on the national tradition of legal thinking will provide a high quality of education and the formation of a highly moral legal consciousness of young people.
Comparative Study of a Cybersecurity Curriculum To Support Digital Transformation in The Public Sector

The Covid 19 pandemic that has occurred in all parts of the world since early 2020 has forced all humans to follow digital transformation. This momentum is considered good for the acceleration of digital transformation, which since the issuance of Presidential Decree Number 95 of 2018 has begun to be initiated. Digital transformation marks a radical rethinking of how an organization uses technology, people and processes to fundamentally change business performance. Digital transformation occurs in the economic, social and public sphere with the aim of creating innovation, encouraging inclusiveness and increasing efficiency and productivity. Although it is absolutely related to digital technology, digital transformation is not just technology but also takes into account other elements such as infrastructure, policies, leadership, digital literacy, mindset, data, research and cybersecurity. Cybersecurity is a crucial prerequisite because interconnection in the digital world demands data privacy and information security. In fact, the demands of cybersecurity in digital transformation are not matched by human resources who are experts in the cyber field. APTIKOM states that each year in Indonesia it only manages to produce 40 thousand - 50 thousand bachelors of information technology competence, while the need is predicted to reach 600 thousand people per year. At the higher education level, the curriculum in cybersecurity study programs tends to focus on technical areas only. Even though. Cybersecurity is a complex matter that requires a multidisciplinary approach such as experts in regulation and policy, governance and information security risk management, and so on. This research is a qualitative descriptive study. The author uses a comparative method to compare the cybersecurity curriculum in Indonesia with the Netherlands, which has a multi- disciplinary cybersecurity curriculum. So that we get multidisciplinary curriculum recommendations that can be applied in the cybersecurity curriculum in Indonesia.
«Strange» Laws of the Third World — the World of Documents

The article deals with the statement that the conception of three worlds (physical, mental and the world of objectified knowledge), suggested by Karl Raimund Popper (1902–1994), sets its object as a document described as materialized information. Arkadii Vasylovych Sokolov (born in 1934) puts the third world into noosphere, calling it Biblio-voice. Being as big as two other worlds, the world of documents has its own terms, laws, features that do not relate with the laws of physical and ideal worlds as well. It is demonstrated how these laws appear in generary, material, semantic, signative, temporal aspects of a document as an object of information. It is proved that because of worldwide civilizational importance of the third world expressions in digitalization century the future of humanity depends exactly on it. That is why the prime importance task of the modern science is to develop key issues of document studies and theory of information.
Modification of the Marching Cubes Algorithm to Obtain a 3D Representation of a Planar Image

The registration of a 3D model over an image can be seen as the alignment of visual correspondences extracted from these two data. This is a challenging task and it is even more complex when the two images have a different modality. This paper introduces an approach that allows matching features detected in two different modalities: photographs and 3D models, by using a common 2D representation. Our approach is based on a modifcation of the Marching Cubes algorithm aiming to remove ambiguous cases without adding further calculations in each cube. We share the idea about the crucial importance of splitting the equivalence cases into two classes. Considering all the possible states inside/outside in the four corners of a cube side, indeed, there are only four non-trivial cases after eliminating those equivalences through the rotation. The obtained results allow us to validate the feasibility of the proposed methodology.
THE CORRELATION READING COMPREHENSION AND WRITING ABILITY OF STUDENTS OF SMA NEGERI 11 PALEMBANG

This study focused on finding out the correlation between reading comprehension and writing ability.This study was conducted using correlation research design.The population of this study investigated the tenth grade students of SMA Negeri 11 Palembang with the total number were 482 students.In selecting the sample of this study, cluster random sampling technique was implemented.There were 147 students participated as the sample.The writer collected data by using two instruments from reading and writing test.The result of this study showed that the level of students' comprehension reading was in the average category.The analysis result showed the mean score of reading comprehension was 61.80.The level of students' writing ability was in the average category.The analysis result showed the mean score of students' writing ability was 6.2713.In analyzing the data of the correlation analysis it was found that there is a significant correlation between reading comprehension and writing ability.The results of this study showed that the correlation coefficient level between reading comprehension and writing ability was 0.323 with the significance value 0.000 that lower alpha value 0.05.Thus, reading comprehension gave positive contribution to students' ability in writing.
Research on the Application of Big Data and Artificial Intelligence Technology in Computer Network

With the continuous development of social economy, science and technology are also in continuous progress, relying on the Internet technology of big data era has come in an all-round way. On the basis of the development of cloud computing and Internet technology, artificial intelligence technology has emerged as the times require. It also has more advantages. Applying it to computer network technology can effectively improve the data processing efficiency and quality of computer network technology, and improve the convenience for people’s life and production. This paper studies and analyzes the practical application requirements of computer network, and discusses the application characteristics and timeliness of artificial intelligence technology.
Strategi Pemasaran Digital Dalam Peningkatan Penerimaan Mahasiswa Baru Menggunakan Analisis SWOT

One of the tertiary institutions in Surabaya City, East Java Province, is experiencing a decline in new students from the target that has been determined in previous years. The analysis conducted by tertiary institutions uses a SWOT analysis approach, by looking at the conditions experienced both from internal and external aspects. In addition, tertiary institutions also look at the aspects of opportunities and threats that affect new student admissions. In addition to looking at the four aspects, universities see the supporting factor in the admission of new students from the variable "Quality of higher education that can give an attractive impression", because this variable is very influential on new student admissions. This makes universities carry out digital marketing strategies. The target of new student candidates is students who have potential. Digital marketing media is the use of social media (Facebook and Instagram) and advertising on local television and local radio. The result of digital marketing is that it can increase the admission of new students, thereby increasing the reputation of higher education institutions and optimizing digital marketing.
Place of demonstration experiment in geography lessons

In accordance with the standards of education for the development of cognitive activity and creative abilities, to work with a large amount of information and interact in a group, the paper suggests using the possibilities of a demonstration experiment in all courses of physical geography. In accordance with the standards of education for improving the quality of students’ knowledge, developing their cognitive activity, creative abilities, the mechanism of forming positive motivation in the process of independent activity in the acquisition of new knowledge and creative approach to the learning process is shown. The conducted pedagogical research on the selection of the content and forms of organization of the demonstration experiment showed the possibility of forming critical thinking in students on the basis of experimental activities in geography lessons. A wide introduction of a demonstration experiment that brings the quality of the lesson and extracurricular work to a new level with the provision of differentiation and individualization of the learning process is proposed.
IMPROVING THE SKILLS OF STORY THROUGH THE APPLICATION OF THE GROUP INVESTIGATION LEARNING MODEL

The purpose of this study was to improve storytelling skills through the application of the Group Investigation learning model to VII grade students of Muhammadiyah Limbung Middle School. With a total of 24 students. Data collection techniques used in this study are: (a) students' learning outcomes in English are collected by giving tests at the end of each cycle, (b) data about the teaching and learning process are collected using observation sheets. The data that has been c0ollected is analyzed quantitatively. The results of the analysis showed an increase in quantitative learning outcomes marked by an increase in the average score of students, from 69.16 in the first cycle to 78.12 in the second cycle of an ideal score of 100. Qualitatively, an increase in the quality of the learning process is a change in the attitudes of students marked by: (a) Increasing the frequency of student attendance, (b) The activeness of students in the learning process, (c) The more students pay attention to the teacher's explanation, (d) The more students who ask questions and answer assignments correctly, (e) Increasingly less students who ask for guidance and ask to be explained about a concept.
Human Capitalin Valuable Orientations Of Students: Methodology, Methodology And Diagnostic Results

Diagnosing the value orientations of students as future leaders of organizations in the realization of the importance of developing the human capital of enterprises and firms is an actual practical and scientific-pedagogical problem. This is especially important for training students in national educational centers of the world level (SEC). Studying the orientation of students of SEC in the analysis and activation of human capital remains a poorly studied topic. The methodology of data analysis and analysis requires that the accumulation of experience occur in various communities – at the level of firms, regions, at the federal level. As shown by the results of experimental studies, it is advisable to formulate methodologies for substantiating student values in relation to human capital on the basis of a comparative analysis using the method of studying social indicators of students at a university. These results confirm the assumptions that: 1. The business qualities of the person that most affect the development of human capital, business qualities – in the system of values, students were obviously significant; 2. The growth of the values of quality education at the university correlates with the socio-demographic requirements of students (young men, urban, rural residents, etc.); 3. As you study at the university, the configuration of values relative to business qualities changes. It is concluded that there is a need to use diagnostic tools, as well as the possibility of using diagnostic information in the management of pedagogical processes in university (SEC).
Android Image Classifier

Image classification is the task of identifying an image. Android image classification model is trained to recognize various classes of images. For example, we may train a model to recognize photos representing three different types of animals: rabbits, hamsters, and dogs. Optimized pre-trained models are provided byTensor Flow Lite that we can deploy in our mobile applications. Simple Machine Learning (ML) algorithms in Python make relatively easy to start explore datasets and make some first predictions. We can make these trained models useful in the real world by making them available to make predictions on either the Web or Portable devices.
Quantum-Inspired Evolutionary Algorithms for Neural Network Weight Distribution

Parkinson’s Disease is a degenerative neurological disorder with unknown origins, making it impossible to be cured or even diagnosed. The following article presents a Three-Layered Perceptron Neural Network model that is trained using a variety of evolutionary as well as quantum-inspired evolutionary algorithms for the classification of Parkinson's Disease. Optimization algorithms such as Particle Swarm Optimization, Artificial Bee Colony Algorithm and Bat Algorithm are studied along with their quantum-inspired counter-parts in order to identify the best suited algorithm for Neural Network Weight Distribution. The results show that the quantum-inspired evolutionary algorithms perform better under the given circumstances, with qABC offering the highest accuracy of about 92.3%. The presented model can be used not only for disease diagnosis but is also likely to find its applications in various other fields as well.
IMPROVING DATA VALIDATION USING MACHINE LEARNING, A NEW WAYS OF SEEING BIG DATA

The new Data Innovation Strategy gives a chance to us to bring the thought into a progressively solid acknowledgment and to consider how it could turn out to be a piece of the generation procedure.Big data is an awesome stockpile of data and information from the frameworks to opposite end-clients.Big data's are growing in all science and graphically areas very rapidly.While the capability of these gigantic data is without a doubt critical, completely comprehending them requires new ways o thinking and novel learning strategies to address the different difficulties.Although for operating such quality of knowledge requires equipment and it motivate a simulation of data to made and machine learning technique.In this paper, we portray the idea of the data factualness contents with respect to big data and machine learning pertinent works and inspect machine learning strategies, tools, and statistical quality models.
Foreword to the Special Issue on the 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019)

The papers in this special section were presented at the 39th annual International Geoscience and Remote Sensing Symposium (IGARSS 2019) that was held from July 28 to August 2, at Convention Center, PACIFICO Yokohama, Yokohama, Japan.
Video Analytics Solution for COVID-19

Amid the global crisis of the Corona virus pandemic, new demands have emerged in the market which uses Video Analytics for finding solutions to halt the transmission of the Virus. The COVID - 19 pandemic is devastating mankind irrespective of caste, creed, gender, and religion. Until a vaccine is discovered, we should do our bit to constrain the expanse of the corona virus. Using a face mask can undoubtedly help in managing the spread of the virus. The face mask detector, a video analytic solution uses MobileNetV2 model, deep learning techniques to successfully test whether a person is wearing a face mask or not. The face mask identifier is least complex in structure and gives quick results and hence can be used in CCTV footage to detect whether a person is wearing a mask perfectly so that he does not pose any danger to others. Mass screening is possible with video analytics and hence can be used in crowded places like Airports, Hospitals Entrance Exam Centers, Schools and Colleges.
Qualitative Characteristics of the Educational Process Organized by the University Departments for Economics Students (Regional Aspect)

The assessment of the qualitative characteristics of the organization of the educational process by the departments of a regional university, in particular, Penza State University (PSU), for undergraduate students of economics is given. The following materials and scientific research methods are applied: questionnaire survey, ranking method, calculation of the Kendall rank correlation W test and the nonparametric Kruskal–Wallis H test. The departments involved in teaching undergraduate students of economics of PSU were assessed according to the level of their activity in organizing research work of students, the professionalism of teachers and methodological support of classes, the demand for the electronic LMS of the university. It is noted that the quality of the educational process at the university is determined by the personal and professional characteristics of the teachers of the departments and the level of organizational and methodological support of classroom studies. Moreover, the gender, place of residence and status of the students’ parents affect the results of assessing the quality of education from the standpoint of students.
Experimental analysis of non-Gaussian noise resistance on global method optical flow using bilateral in reverse confidential

This paper presents the analytical of non-Gaussian noise resistance with the aid of the use of bilateral in reverse confidential with the optical flow. In particular, optical flow is the sample of the image’s motion from the consecutive images caused by the object’s movement. It is a 2-D vector where every vector is a displacement vector displaying the motion from the first image to the second. When the noise interferes with the image flow, the approximated performance on the vector in optical flow is poor. We ensure greater appropriate noise resistance by applying bilateral in reverse confidential in optical flow in the experiment by concerning the error vector magnitude (EVM). Many noise resistance models of the global method optical flow are using for comparison in our experiment. And many sequenced image data sets where they are interfered with by several types of non-Gaussian noise are used for experimental analysis.
MULTIMODAL ANALYSIS OF WARDAH LIPSTICK ADVERTISEMENT

Advertising is utilized to promote certain products and attract the attention of potential customers to purchase the products. In this study, the researchers use advertisements broadcasted through an electronic form, namely Wardah lipstick advertisement. The advertisement is audiovisual, and the form of the message included sound and moving images. The analysis in this study used a semiotic approach and multimodal analysis focusing on multimodal systems, including aspects of linguistics, visual, audio, gestural, and location. This study used qualitative research methodology by applying a descriptive analysis in the research. The study found that this advertisement covers the five aspects of the multimodal semiotic system: linguistics, visuals, audio, gestural, and location. These five aspects are integrated to convey the core message in Wardah lipstick advertisement. Finally, this research found the meaning contained in an advertising message. The advertisement structure was also composed of verbal and visual text to persuade and affect buyers' decisions.