Reviewerly/exHarmony huggingface dataset:
Research and Practice on the Precise Cultivation Model of High-Skilled Applied Talents in AI Majors in GBA

With more and more universities in China offering AI majors, the cultivation of AI talents has become a research topic of widespread concern.With the continuous updating of sci & tech and the rapid development of digital economy, the construction of intelligent Greater Bay Area has become the general trend, which brings new opportunities to the development of cultural industry in GBA.However, at present, GBA's cultural industries are faced with problems and challenges such as insufficient development imbalance, low degree of integration of creativity and technology, and urgent need for upgrading and upgrading of traditional industries.As a leading technology in the field of scientific and technological innovation in the new era, AI provides new ideas for solving the problems encountered in the development of cultural industry in Guangdong, Hong Kong and Macao, provides more optimized creative design solutions and more efficient production methods for the cultural industry, and can optimize the production links of cultural industry; Expand the marketing and distribution channels of the cultural industry from the two levels of depth and breadth to improve and improve the user experience; Enable the cultural industry in an all-round way to form intelligent creation, intelligent production, intelligent marketing and intelligent experience.Exploring the strategic opportunities for the development of AI application and gradually forming a characteristic AI application-oriented talent training system is a supplement to the formulation of the development plan of scientific and technological talents in China.
Research on the inheritance, development and innovation of Chinese pension mode under the background of "Internet +"

In modern China, with the perfect market economy system, social welfare undertakings have also made great development, promote the socialization of the social welfare policy, the original endowment service mode for survival in constant change, at the same time, all kinds of new endowment service form has sprung up, such as home endowment, embedded endowment, migratory endowment, rural endowment way, and so on.The pension problem involves all aspects of the society, inherits the culture of respecting the elderly, comparing and analyzing the problems existing in the current pension mode, and puts forward innovative suggestions for the future pension mode, and improving the pension system is of great significance to the modern society.
Development of citizen science as a mechanism of scientific knowledge creation in the digital environment

Aim . The presented study aims to identify the causes and factors that determine the positive effect of integrating the efforts of the representatives of institutionalized (professional) and social (citizen) science to obtain new knowledge in the digital environment; to investigate the phenomenon of “citizen science” in the context of current trends in the development of scientific knowledge creation mechanisms. Tasks . The authors examine approaches to understanding the essence of the concept of “citizen science” in relation to the concepts of participation, distributed knowledge, Science 2.0, etc.; identify opportunities and promising areas for the collaboration between professional and citizen science; formulate conditions and directions for further development of scientific knowledge creation mechanisms involving scientific volunteering. Methods . This study uses general scientific methods of cognition in various aspects to consider the phenomenon and concept of “citizen science” as a vital component of the mechanisms of scientific knowledge creation in project form using the capabilities of digital tools and network technology. Results . The genesis and priority directions for the development of citizen science are described. The reasons and factors of complementarity between professional and citizen science are substantiated. The development of digital tools and network technology is considered as an essential condition for further development of scientific knowledge creation mechanisms. Conclusions . The development of citizen science is a natural stage in the development of society, which requires consolidated efforts of the bearers of different competencies to collect and process scientific data for further development.
RCCA-secure public-key encryption based on SM2

SM2 cryptographic algorithms have become vital in achieving independently controllable security for national networks and information systems. However, recent studies have shown that in a real-world implementation, the SM2 encryption algorithm might suffer from effective algorithm substitution attacks, which enable attackers to obtain the randomness used in the next-round encryption from the current ciphertext, and thus could decrypt all the successive ciphertexts without a decryption key. A cryptographic reverse firewall has been considered a useful tool to defend against such an attack by rerandomizing a ciphertext, which, however, is incompatible with the CCA security of the SM2 encryption algorithm. To tackle this problem, this work improves the SM2 encryption algorithm for Replayable-CCA (RCCA) security, which could offer a similar security guarantee as CCA while supporting ciphertext rerandomizability for using cryptographic reverse firewalls. The core idea is to apply the OAEP three-round design paradigm by Phan et al. to the context of the SM2 encryption algorithm and rigorously prove its RCCA security in the random oracle model. The proposed scheme is the first rerandomizable RCCA-secure public-key encryption scheme based on SM serial algorithms and could help enhance the security of the SM2 encryption algorithm in real-world applications.
UNIVERSALITY OF NEURAL NETWORKS WITH A SIGMOIDAL ACTIVATION OR DISCRIMINATORY FUNCTIONS ON FUNCTIONAL BANACH LATTICES OVER THE REAL LINE

The universality of neural networks with sigmoidal or discriminatory functions are characterized on functional Banach lattices. This study is an extension of a previous study on a similar problem of an unbounded exponent in variable Lebesgue spaces, which contain essentially bounded measurable functions. However, the notion of functional Banach lattices includes other fundamental function spaces and our result is a natural generalization of the well-known result by Cybenko. We examine the structure of bounded uniformly continuous functions for this purpose and provide functional Banach lattices over unbounded domains.
Critical Thinking in Education: The Question of the Method of Knowledge Translation

The study of critical thinking is carried out through the prism of the program “Logic and Critical Thinking”. The search for methodological foundations of modern pedagogy is undertaken through an appeal to the tradition of postmodernism. Among the postmodern ideas, the idea of “experience” stands out in all its diversity, which takes place in the learning process. The variability of experience authorizes the rejection of intellectual pressure and the possibility of methodological pluralism in the choice of teaching methods and approaches. Anti-pedagogy, postmodernly oriented in its theory and practice on the principles of “experiential learning”, contains grounds for the development of a problem-oriented method, considered as a trigger mechanism in the cognitive process aimed at the formation of critical thinking skills. The effective practice of implementing the problem approach in the development of intellectual, linguistic, logical dispositions of the personality of students and their transformation into a research community is shown. The conclusion is made about the priority of the problem-oriented method in teaching the art of thinking critically.
Ontological Representation and Analysis for Smart Education

A solid instructional design knowledge base is lacking in the majority of educational technology today, resulting in dubious instructional quality. The ability to modify these educational technologies for a variety of adaptable instructional designs is also a key problem. In the literature, ontology’s are considered to be one of the most effective systems for representing instructional design. A flexible instruction design cannot be modelled using the present techniques. Our study proposes a knowledge-based ontological framework for grouping similar student traits, which is necessary for forming a smart educational framework. It is evident from the algorithms created and execution that the students have integrated the system. Lastly, a set of inference rules is constructed.
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation

Stain color variation in histological images, caused by a variety of factors, is a challenge not only for the visual diagnosis of pathologists but also for cell segmentation algorithms. To eliminate the color variation, many stain normalization approaches have been proposed. However, most were designed for hematoxylin and eosin staining images and performed poorly on immunohistochemical staining images. Current cell segmentation methods systematically apply stain normalization as a preprocessing step, but the impact brought by color variation has not been quantitatively investigated yet. In this paper, we produced five groups of NeuN staining images with different colors. We applied a deep learning image-recoloring method to perform color transfer between histological image groups. Finally, we altered the color of a segmentation set and quantified the impact of color variation on cell segmentation. The results demonstrated the necessity of color normalization prior to subsequent analysis.
Hybrid Global Search Algorithm with Genetic Blocks for Solving Hexamatrix Games

This work addresses the development of a hybrid approach to solving threeperson polymatrix games (hexamatrix games). On the one hand, this approach is based on the reduction of the game to a nonconvex optimization problem and the Global Search Theory proposed by A.S. Strekalovsky for solving nonconvex optimization problems with (d.c.) functions representable as a difference of two convex functions. On the other hand, to increase the efficiency of one of the key stages of the global search — constructing an approximation of the level surface of a convex function that generates the basic nonconvexity in the problem under study — operators of genetic algorithms are used. The results of the first computational experiment are presented.
Hybrid ACO-PSO-GA-DE Algorithm for Big Data Classification

This paper designs a technique to classify big data efficiently. This work considers the processing of big data as an optimization problem due to the trade-off between accuracy and time and solves this optimization problem by using a meta-heuristic approach. The HAPGD (Hybrid ACO (Ant Colony Optimization), PSO (Particle Swarm Optimization), GA (Genetic Algorithm), and DE (Differential Evolution)) classification algorithm is designed by using the support vector machine (SVM) along with hybrid ACO-PSO-GA-DE algorithm that hybrids exploration capability of ACO with exploitation capability of PSO whose balance is maintained using modified GA. The GA has been modified by using the DE algorithm. The presented technique performs classification efficiently as shown in results on seven datasets using different analysis parameters due to balanced exploration and exploitation search with fast convergence.
Towards Normalized Systems from RDF with SPARQL

Normalized Systems are a model-driven development technique focusing on evolvability and sustainability of resulting enterprise information systems. It applies well-defined principles to create a fine-grained modular structure while limiting combinatorial effects. The systems are generated (or, more precisely, expanded) from models of so-called NS Elements. NS has its own modelling language; however, interoperability with other knowledge representations is necessary. This work presents our solution for transforming knowledge kept in one of the most generic forms – RDF semantic triples – to NS Elements. The transformation enables mapping using RDFS/OWL ontologies describing both the input RDF. It utilizes SPARQL for executing the transformation to RDF based on the existing NS Element ontology. The presented transformation is demonstrated on an example case study, and its features and limitations are discussed together with potential future steps.
Bayesian Recurrent Units and the Forward-Backward Algorithm

Using Bayes's theorem, we derive a unit-wise recurrence as well as a backward recursion similar to the forward-backward algorithm. The resulting Bayesian recurrent units can be integrated as recurrent neural networks within deep learning frameworks, while retaining a probabilistic interpretation from the direct correspondence with hidden Markov models. Whilst the contribution is mainly theoretical, experiments on speech recognition indicate that adding the derived units at the end of state-of-the-art recurrent architectures can improve the performance at a very low cost in terms of trainable parameters.
Crossing Frontiers: Implementing an EBA Model at a Caribbean Academic Library

Evidence-based acquisition (EBA) programmes have been gaining momentum in academic libraries over the past 5–10 years. This paper examines our experience implementing one of these programmes at The University of the West Indies, St. Augustine Campus. In 2019, The Alma Jordan Library of the St. Augustine Campus partnered with Wiley Publishers to administer the Usage Based Collection Management (UBCM) programme. The results at the end of this first year were very encouraging and therefore, the decision was taken to extend the programme for a second year, and it has been continued for a third year. This paper describes the process of selecting a provider of a user-driven eBook acquisition model, implementing the programme, and gathering usage statistics. An analysis of the data was conducted at the end of the programme, and then criteria developed and used for identifying titles for purchase. In the analysis, the authors explore the following: usage based on titles not owned, usage based on subject areas; return on investment to the library; continued use of UBCM- purchased titles. Also included are the benefits of implementing such a programme, challenges experienced, and recommendations for libraries wishing to embark on such a project.
Recommender systems in major media platforms

As online streaming audiences increase worldwide through VODs, OTTs, and other platforms, the weight of algorithms in our media consumption patterns grows accordingly. Particularly in the case of media, algorithms are especially popular for catering personalised recommendations based on different layers of data that the system retrieves from the user. As algorithms become more present behind our media content intake, so do concerns on the efficiency of the design, transparency, and implementation of these, which can be very useful in delivering pertinent and relevant content to the user but might also limit the user’s scope on a subject through what we know as ‘filter bubble’. There is a growing discussion on how the algorithms should behave according to the nature of its platform (i.e., commercial media vs. public service media), which places the focus of algorithm design in the juncture of purpose and responsibility. This chapter aims to discuss the specifics of recommender systems and which ones are used in platforms such as YouTube, Spotify, Netflix, Yahoo, and the BBC’s iPlayer to understand how the construction of each algorithm responds to the different purposes marked by the organizations, and whether there are differences in how these systems apply recommendations for the same kind of content.
Analysis of the Application Value of Campus Card Data in Colleges and Universities: An Example of Precise Financial Aid for Poor Students

Big data in colleges and universities is generated during the whole process of college activities and collected according to the educational needs.Mining and utilize the potential huge value of data to support the informatization development of colleges and universities has become an inevitable trend in the future strategy.This paper takes financial aid for poor college students as an example to analyze the application value of campus card data in colleges and universities, and specifically introduces how to use big data processing technology to fully mine the campus card data and discover the hidden value behind it, which can not only realize the accurate identification of poor college students and provide precise financial aid but also greatly protect students' self-esteem, let students feel the school's attention and care for themselves.
Differences in Learning Engagement Depending on Need for Cognition and the Effect of Need for Cognition on Cognitive Competency through Self-Directed Learning Process among College Students

Objectives The purpose of this study was first to explore whether high/low need for cognition groups differ in the level of learning engagement, and second to examine the effect of the need for cognition on cognitive competency development through the self-directed learning process.&#x0D; Methods Using the data of 1,110 students in four-year colleges from the 9th-year (2014) Korean Education Longitudinal Study 2005, independent sample t-tests and three-step linear regression analysis suggested by Baron and Kenny (1986) were conducted.&#x0D; Results First, t-tests found that students with a high need for cognition showed higher mean scores for the self-directed learning process, classroom engagement, reading books, taking classes, and studying than those with low need for cognition. Second, after controlling for a variety of control variables, the higher need for cognition predicted a higher self-directed learning process and higher cognitive competency development. In addition, the self-directed learning process was found to have a partial mediation effect on the relationship between the need for cognition and cognitive competency.&#x0D; Conclusions This study found the significant role that the need for cognition, which has received limited attention in higher education research, plays in learning engagement and in cognitive competency development through self-directed learning process. The results added empirical evidence to the individual-level predictors that are important for college student learning and cognitive competency development among college students.
Exploring the Direction of Early Childhood Parent Education through Theory and Research Trends

Objectives This study aims to present guidelines for parent education through the exploration of theories, programs, and research trends.&#x0D; Methods The theories and programs related to the education of parents of young children were reviewed, and a total of 143 domestic journals were analyzed.&#x0D; Results Results Five theories and four programs related to parent education were compared and analyzed, and the results of analysis of trends in domestic academic journals related to parent education were presented by research period, research method, and research topic. 1) Research on education of parents of young children has continued to increase since 2000. 2) In terms of research methods, quantitative studies were mainly conducted, and investigatory research studies and program development studies were the most frequent. In the second phase, qualitative research increased markedly. 3) In terms of themes, during the first phase, many studies were conducted in relation to parent education programs, whereas during the second phase, many studies were conducted in relation to the social aspects of parent education.&#x0D; Conclusions The direction of education proposed for parents of young children derived through the exploration of parent education theories, programs and research trends is the strengthening of each of the following: expert-parent cooperative parent education; diversification of parent education according to changes in family form; parent education focused on young children of a future society; sustainable development parent education; reinforcement of preliminary parental education. In addition, a practical alternative to early childhood institution- centered parental education was suggested. The results of this study is intended to provide direction for future research on parent education, provide practical guidelines for parent education in early childhood education institutions, give policy direction in the education of parents of young children, and serve as the impetus for finding a solution for the low fertility rate problem.
Analysis on the Development Status and Prospect of Digital Currency under Blockchain Technology

Block chain technology is considered to be the next core technology with a disruptive impact on the world after Internet technology.As the basic means of digital currency technology, block chain technology has greatly promoted the development of digital currency and digital finance.Based on the integration mechanism of block chain technology and digital currency, this paper analyses the development status of block chain and digital currency, the problems faced by the development of digital currency, proposes feasible development paths, and looks into the future development direction of digital currency.
Intelligent identification technology of river and lake "four chaos" based on satellite remote sensing data

This study investigated and collected evidence on the "four chaos" problems of rivers and lakes through cutting-edge information technology, and promoted regulatory upgrading with technological progress to ensure that relevant departments comprehensively strengthened supervision of rivers and lakes in the region.The use of remote sensing information technology to achieve large-scale periodic macro monitoring of the "four chaos" of rivers and lakes, provide timely and reliable technical support for the supervision of the "four chaos" of rivers and lakes, and help the realization of the beautiful ecological vision of "clear water and green mountains"; With the macro and periodicity characteristics of remote sensing monitoring, problems such as incomplete supervision scope, inaccurate information acquisition, untimely acquisition and difficult problem summary and statistics can be solved.On the premise of ensuring accuracy and timeliness, human and material costs can be greatly saved and good economic benefits can be achieved.
Application of Blended Teaching Mode Based on SPOC in the Course of “History of British&amp;American Literature”

The research of blended teaching mode based on SPOC is still in its infancy in English major literature courses (direction in teacher education).Under the current situation of continuous reduction of course hours, large amount of information in literature courses, students' lack of interest and unsatisfactory teaching effects, this teaching design selects Victorian English literature as the design object.Based on the analysis of the characteristics of the teaching object, we cover the teaching objectives, teaching process, teaching evaluation and the usage of teaching materials in one unit and single class period, hoping to shed some light on the current reform of English literature courses.