Reviewerly/exHarmony huggingface dataset:
Ensemble of Networks for Multilabel Classification

Multilabel learning goes beyond standard supervised learning models by associating a sample with more than one class label. Among the many techniques developed in the last decade to handle multilabel learning best approaches are those harnessing the power of ensembles and deep learners. This work proposes merging both methods by combining a set of gated recurrent units, temporal convolutional neural networks, and long short-term memory networks trained with variants of the Adam optimization approach. We examine many Adam variants, each fundamentally based on the difference between present and past gradients, with step size adjusted for each parameter. We also combine Incorporating Multiple Clustering Centers and a bootstrap-aggregated decision trees ensemble, which is shown to further boost classification performance. In addition, we provide an ablation study for assessing the performance improvement that each module of our ensemble produces. Multiple experiments on a large set of datasets representing a wide variety of multilabel tasks demonstrate the robustness of our best ensemble, which is shown to outperform the state-of-the-art. The MATLAB code for generating the best ensembles in the experimental section will be made available at https://github.com/LorisNanni.
Modularization Method to Reuse Medical Knowledge Graphs

During the creation and integration of a health care system based on medical knowledge graphs, it is necessary to review and select the vocabularies and definitions that best fit the information requirements of the system being developed. This implies the reuse of medical knowledge graphs; however, full importation of knowledge graphs is not a tractable solution in terms of memory requirements. In this paper we present a modularization-based method for knowledge graph reuse. A case study of graph reuse is presented by transforming the original model into a lighter one.
Exploration and Practice of "One stop" Student Community Comprehensive Management Mode in Local Colleges and Universities

Student community has become an important carrier and space for college talent training in the new era. How to establish and improve the effective system and mechanism, guide the management force, service power and education force sinking student community a line, relying on the big data technology to meet the needs of The Times, school needs, meet the needs of students of community comprehensive education management mode, constantly play a role of college community education, improve the quality of education, is a new era and an important topic in colleges and universities. This paper discusses the experience of building the community education management mode and system from the aspects of the current situation and dilemma, and summarizes the experience of local universities in China in the "one-stop" education management mode.
Contentment with the Quality of Students’ Education of Russian Universities in a Pandemic (on the Example of the Financial University)

The paper reveals the features of contentment with the quality of education in higher educational institutions of the Russian Federation during the pandemic. The emphasis is on the forced transition first to the distance learning format of higher educational institutions in Russia, and then to the hybrid format chosen by some universities. The authors reveal the importance of conducting research aimed at studying satisfaction with the quality of education. The paper presents the data of scientific research characterizing the attitude of students and teachers to online classes. Also, there are described the advantages and disadvantages that the informants encountered during the distance learning format, and the disciplines that are especially difficult to conduct on online platforms are also highlighted. The authors paid particular attention to the results of a monitoring study on satisfaction with the quality of education of the Educational Sociological Laboratory of the Department of Sociology of the Financial University under the Government of the Russian Federation. The analysis of the research was based on compiling indices using its own calculation method. It is presented as a general index of contentment with the quality of education for the entire university, by courses and by the basis of education, as well as indices separately for full-time and online formats for conducting various groups of disciplines.
Research on the Predicament and Development Path of China's Higher Education under the Background of "One Belt and One Road"

The Belt and Road Initiative aims to create a community of interests, a community of responsibilities, and a community of destiny. With the vigorous implementation of the "Belt and Road" initiative and the deepening of education and teaching reform, China's higher education development is facing new opportunities. The "One Belt, One Road" proposal has pointed out the direction for improving the internationalization level of China's higher education under the open pattern and given it a new connotation. Under this background, the global transformation and development of China's higher education should clarify the development direction and development ideas, introduce high-quality educational resources, give full play to the subjective initiative of the main body of the university, innovate the teaching methods of higher education, actively seek new paths for transformation, and vigorously enhance the innovation of universities. , deeply promote the internationalization of university education, and actively carry out people-to-people and cultural exchanges with higher education in countries along the "Belt and Road" to realize the leap-forward development of Chinese higher education in the new era.
Specific Features of Teaching Generation Z English in a Non-linguistic University (Based on the example of students majoring in public relations)

This research aims to identify the specifics of teaching generation Z English as a foreign language in Russian non- linguistic universities and covers the principles of the theory of generations including focus group methodology. The survey encompassed eighty-seven undergraduate freshmen majoring in Advertising and Public Relations and included the following key aspects: professor’s qualifications and behavior, overall atmosphere and lesson structure, frequency of utilization of audio and visual materials as well as students’ preferred forms of interaction. Contrary to the belief that generation Z is not sociable and prefers individualism, our survey highlights those students willingly interact in groups of several people maintaining their motivation and realizing creative potential. Employment of digital technologies plays a crucial role for generation Z as it contributes to the widespread implementation of pedagogical and methodological principles, by making a lesson more interesting for nowadays students consequently reducing the generation gap.
The Relationship of News Title Writing and Multiple Intelligences of Journalistic Students

This study examines the correlation of news headlines with multiple intelligences. What is to be tested is how big the correlation between writing headlines and multiple intelligences, especially with the dimensions of language intelligence and intrapersonal intelligence. If there is a relationship between news headlines and the two dimensions of multiple intelligences, multiple intelligences can be a predictor of a person's competence in writing news, especially as a reporter or editor. This issue, so far as following the publication of news headline research in journals over the last five years (2017 – 2021), has never been studied. In fact, research on the correlation of news headline writing with multiple intelligences can explain the mistakes that occur in news headline writing. The results of this study became the basis for the publishing/journalistic study program to create an intelligence instrument as a tool to identify the competence of prospective (young) journalists. With intelligence instruments, media editors can recruit competent journalists more accurately and easily, especially in news writing. This study uses a survey method for students of the Publishing/Journalistic Study Program, Department of Graphic and Publishing Engineering. The questionnaire was prepared using the Multiple Intelligences scale and the choice of various news titles. The results of the relationship between news headlines and multiple intelligences will be analyzed using a statistical method approach: correlation and factor analysis. The results of this study are that there is a relationship between News Title Writing and Multiple Intelligences, the relationship occurs between Active Sentences containing facts or opinions with the dimensions of Multiple Intelligences Music. There is no influence of Language dimension or Intrapersonal dimension on Music Intelligence. Music can be said to influence someone's news writing. To increase the reliability of the measurement of news ...
Research on Online and Offline Integrated Teaching Mode of Artificial Intelligence Courses Based on Flying Paddle AI Studio Platform

At present, there are many problems in the teaching of deep learning courses, the most important of which is that it is difficult to carry out experiments in an orderly manner. To solve this problem, this paper puts forward an online experiment scheme based on Baidu Flying Paddle AI Studio platform, so as to realize the teaching mode of online and offline integration. This paper introduces the specific implementation scheme in detail.
Research on the Development of College Music Education under the New Media Environment

Along with our country continually promoting the reform of quality education, the university music education as an important part of quality education, its shape is of great significance to the comprehensive talents. On the one hand, good music education can help students form the correct aesthetic view, values and outlook on life. On the other hand it also can promote students to master good music skills, so as to meet the social development demand and enrich our literary market. However, influenced by Chinese traditional education mode and concept, the current many university music education present situation is not optimistic, the phenomenon is not only conducive to the physical and mental health of students and the education for all-around development, at the same time also will restrict the university music education of the sustainable and healthy development, therefore, requires universities to innovate, change education idea and abandon its own constraints, Continuous innovation of music education can promote the good development of university music education and cultivate excellent comprehensive music talents for the society. Based on the characteristics and current situation of college music education, this paper summarizes and puts forward the development and innovation strategies of college music education under the new media environment.
Practice Exploration of Curriculum Reform Based on Systematization of Working Process

The author follows the basic path of the course reform of work process systematization, and makes a practical exploration of the course reform of "front-end development technology". Through deconstructing the teaching materials of the subject system, reconstructing the learning situation, overcoming key difficulties, and greatly improving the teaching effect, students' professional ability has been significantly improved.
Talking About the Cultivation of Students' Listening Ability in The Applied Chinese Teaching of Training Vocational High School

For students, especially vocational high school students in schools with intellectual disabilities, listening ability is directly related to the quality of their studies and their subsequent careers. Good listening ability can not only improve their concentration, but also actively think in the process of listening. Therefore, applied Chinese cannot teach book knowledge mechanically, but guide students to learn to listen and learn through learning, Thinking, and constantly promote the development of students.
Research on Informatization Teaching Ability Cultivation of Normal Students under the Background of Digital Teaching

The digital teaching background environment provides a good environmental foundation for the information teaching. How to find the development opportunities in the digital teaching background and solve the main problems in the training of the information ability has become the practical need for the improvement of the information teaching ability. This study analyzes the current situation and shortcomings of informatization teaching ability training of normal students under the background of digital teaching, the exploration of informatization teaching ability training approaches of normal students, and the strategies of informatization teaching ability training methods of normal students. Aiming at improving the comprehensive teaching ability of normal university students, the cultivation of informatization teaching ability of normal university students is constantly strengthened.
Deep HDR Deghosting by Motion-Attention Fusion Network

Multi-exposure image fusion (MEF) methods for high dynamic range (HDR) imaging suffer from ghosting artifacts when dealing with moving objects in dynamic scenes. The state-of-the-art methods use optical flow to align low dynamic range (LDR) images before merging, introducing distortion into the aligned LDR images from inaccurate motion estimation due to large motion and occlusion. In place of pre-alignment, attention-based methods calculate the correlation between the reference LDR image and non-reference LDR images, thus excluding misaligned regions in LDR images. Nevertheless, they also exclude the saturated details at the same time. Taking advantage of both the alignment and attention-based methods, we propose an efficient Deep HDR Deghosting Fusion Network (DDFNet) guided by optical flow and image correlation attentions. Specifically, the DDFNet estimates the optical flow of the LDR images by a motion estimation module and encodes that optical flow as a flow feature. Additionally, it extracts correlation features between the reference LDR and other non-reference LDR images. The optical flow and correlation features are employed to adaptably combine information from LDR inputs in an attention-based fusion module. Following the merging of features, a decoder composed of Dense Networks reconstructs the HDR image without ghosting. Experimental results indicate that the proposed DDFNet achieves state-of-the-art image fusion performance on different public datasets.
Technologization of Innovative Educational Processes in Higher Education Establishments

The needs of Ukraine’s economic development require the creation of new, innovative technologies that take into account changes in the social and spiritual life of young people, the need to form a harmonious personality and optimize the learning process. New pedagogical technologies are aimed primarily at “providing conditions for self-realization of student’s essential capabilities in various kinds of theoretical and practical activities, in dynamic life in the new market conditions”.&#x0D; An essential feature of modern innovation processes in the field of education and upbringing is their technologization – a strict compliance with the content and sequence of stages of innovation implementation.&#x0D; The difference between technology and methodology is a fundamental issue for modern pedagogics. Technology and methodology are distinguished by two main points: the guarantee of the final outcome and planning of the future educational process.&#x0D; The varieties of personality-centered pedagogical technologies include personality developmental teaching, productive teaching, personalized teaching and technology of higher labor, self-development, technology of humanism.&#x0D; Analyzing the features of higher pedagogical education technologization, the attention should be paid to an increase in the need for the use of new information technologies in the training of new generation specialists for modern educational systems. New information technologies (NIT) are defined as a set of methods and technological means of collecting, organizing, storing, processing, transmitting and presenting information that increases people’s knowledge and develops their capabilities to manage technological and social problems.&#x0D; Pedagogical technology is interpreted according to three aspects: the scientific aspect (pedagogical technology as a component of pedagogical science that creates pedagogical processes in pedagogical systems); procedural and descriptive aspect (description, process algorithm, a set of goals, content of methods and means to achieve guaranteed results according to the goal); procedural and effectual aspect (implementation of the technological process, functioning of all personal tools).
A Model Fit Comparative Study of K-Component Mixture of One Parameter Univariate Distributions

This is a comparative study on mixture distribution; where the study seeks to ascertain whether higher number of k-component mixtures could result to development of models that show better fits. In the performance comparison, special consideration was given to univariate one parameter distributions derived using mixture models, and the results show that distributions of higher k-mixture components relatively have greater propensity to exhibit better fit than the lesser mixture component distributions (k &lt; 3).
flashr: An R package that creates flashcards

Flashcards can be an effective way to learn new material, including vocabulary, spoken languages, and computer programming languages. The `flashr` R package creates decks of flashcards from sets of terms and descriptions built around learning R. This package draws from a repository of decks based on existing books and resources. New decks are easy to build, and users can create new decks either for their own use or to contribute to the repository. Moreover, the decks do not have to be about R or even programming languages. Users can develop their own decks for whatever material they would like to learn.
Modeling the Proportion of Tuberculosis Cases in South Sulawesi using Sparse Least Trimmed Squares

The deadliest infectious disease in Indonesia is tuberculosis (TB), and South Sulawesi is one of the provinces that contributed the most tuberculosis cases in Indonesia in 2018 with 84 cases per 100,000 population. This study aims to identify variables that could explain the proportion of TB cases in South Sulawesi. The data used has many explanatory variables, and there are outliers. Sparse Least Trimmed Squares (LTS) analysis can be used to handle data that has many explanatory variables and outliers. The resulting sparse LTS model successfully selects and shrinks the variables to 14 variables only. In addition, based on the value of R2 and RMSE for the model evaluation, the sparse LTS shows satisfying results rather than classical LASSO. The government can focus on these factors if they want to reduce the proportion of TB cases in South Sulawesi.
Identity-Based Encryption in DDH Hard Groups

The concept of Identity-Based Encryption was first introduced by Shamir (CRYPTO 1984) but were not realised until much later by Sakai, Ohgishi and Kasahara (SCIS 2000), Boneh and Franklin (CRYPTO 2001) and Cocks (IMACC 2001). Since then, Identity-Based Encryption has been a highly active area of research. While there have been several instantiations of Identity-Based Encryption and its variants, there is one glaring omission: there have been no instantiations in plain Decisional Diffie-Hellman groups. This seemed at odds with the fact that we can instantiate almost every single cryptographic primitive in plain Decisional Diffie-Hellman groups. An answer to this question came in a result by Papakonstantinou, Rackoff and Vahlis (EPRINT 2012), who showed that it is impossible to instantiate an Identity-Based Encryption in plain DDH groups. The impossibility result was questioned when Döttling and Garg (CRYPTO 2017) presented an Identity-Based Encryption based on the Decisional Diffie-Hellman problem. However, this result did not disprove the impossibility result, as it requires the use of garbled circuits, which are inherently interactive. This type of scheme is not covered by the impossibility result, but it does raise some questions. In this paper, we answer some of those questions by constructing an Identity-Based Encryption scheme based on the Decisional Diffie-Hellman problem. We achieve this by instantiating the generic construction based on Witness Encryption by Garg, Gentry, Sahai and Waters (STOC 2013), with some minor changes. To this end, we construct the first unique signature scheme in Decisional Diffie-Hellman groups, to the best of our knowledge. The unique signature scheme, and as a result, our Identity-Based Encryption scheme, is inefficient, but this is unavoidable. Our construction does not completely contradict the impossibility result but instead shows that the statement was too strong, and the result only rules out efficient constructions.
BITCOIN: A BLESSING OR A CURSE?

Some concepts become economically relevant as new technologies emerge, as is the case with cryptocurrencies in general, or Bitcoin and Ethereum in particular. Because of the importance of these tools, a thorough bibliometric study that allows us to obtain all information about cryptocurrencies is required. This study will aid related research that has been and is currently being conducted. The bibliometric analysis includes 11 articles that highlight the most related papers, research fields, countries, organizations, authors, publications, and trends over the last few years. Finally, the number of papers published has increased over the last three years. The analysis depicts the evolution of block chain technology, which is used in this type of crypto currency. And finally, will help the reader to find the answer for the research Question.
COMPARING DIAGNOSTIC QUALITY BETWEEN JENOPTIK AND SMART PHONE-BASED SLIDE IMAGING OF APPENDICITIS CASES.

Context – Digital pathology involves collecting, managing, sharing and interpreting pathological information including [1] slides and data in a digital environment. In the age of digitization, these two alternative solutions were developed to evaluate and compare smartphones and JENOPTIK based photomicrographs slide imaging. This will help you create [2] your own digital library archive for future reference. The COVID-19 pandemic has brought novel challenges to educational programs worldwide, with pathologists adopting new imaging techniques for slides that mandate social [3,4] distancing while maintaining effective delivery of educational materials. Care centers are adopting digital technology slide imaging. Improve the quality, innovation and convenience of case reporting. In this Summary: study, percentage of measure of agreement was 85.3%, 89.1% and 81.5%, 83.7% for the slide images taken in the JENOPTIK and smartphone-based photomicrographs and analyzed by Observer 1 and Observer 2, respectively. It can be seen that the serial photomicrographs taken by JENOPTIK has better diagnostic accuracy as compared to SMART PHONE based photomicrographs.