Reviewerly/exHarmony huggingface dataset:
A Typology of Semantic Entities

The goal of this paper is to discuss which basic semantic entities we should include in our formal semantic ontology, and on which principles we should include them (cf. Bach 1986b). The vast majority of formal theories employ individuals as a basic type; they represent quantification over, modification of, and reference to individuals. But many theories include additional types or entities, including possible worlds, but also less common ones like vectors. Some papers have argued that types should be constrained or reduced; others that they should be proliferated. I present some representative arguments on both sides and suggest a path forward in evaluating them against one another.
The Principles of Semantic Modeling

Psychosemantics studies the genesis, structure, and functioning of an individual or collective consciousness and its major element, the meaning. The last can be fixed in the words of a natural language as well as signs, symbols, pictures, and so on in their meaning invariant to different individuals of the same culture in a socially scaled sense. To have a chance to compare sensations and to simulate (represent) the surrounding reality, an individual needs to “construct” a certain semantic space (mental map of reality) and define metric and system of coordinates. Definition of semantic spaces is the mathematical method to construct a mental map as a system that simulates an “objective reality” in terms of mathematical structures (arbitrary sets with the relations defined on them)
Structural Organization of the Brain

The current views of the neuropsychological organization of the brain are briefly reviewed based on the systemic description by A.R. Luria, one of the founders of neuropsychology. The ability of the brain, i.e., to represent reality in a spacetime manner and to construct objects of a totality of elementary sensations, has been analyzed. Extrasensory perception abilities of the brain as well as the potential involvement of brain structures in quantum interactions have been discussed.
Purposeful Systems, Evolution, and Subject-Based Aspect of Systems Science

In systems science, the category of goal is restored in its rights. However, the current studies are mainly confined to closed systems and are of an object-based character although the teleological principle, defining a system, is inapplicable to the object. The issues associated with the possibility of the subject to be included in systems analysis are discussed as well as the approaches to the research into evolutionary processes in open systems. In addition to this, the problems in a subjectbased approach in psychosemantics and quantum physics are considered.
Schrödinger's Cat Smile

The book presents a multidisciplinary analysis of the context of quantum physics experiments and the function of the human mind that makes it possible to demonstrate that an object-based model of reality formed at the level of the unconscious is the basis of our worldview. The consciousness experiences a ''time flow'' because of the specific features of perception in the form of a model with a sequential fixation of events. Together with the need to relate objects in terms of the model, this generates a space-time representation of the world around us. Acceptance of a mental character of our construct of reality allows for resolution of the problems in quantum physics and its paradoxes, thereby opening the way to an insight into reality. The presented material is organized in a specific order to facilitate the reader's understanding. First, the fact that if there are no objects in the area of quantum mechanics, then they belong to the corresponding model rather than the reality is proved by case studies of the most discussed and relevant paradoxes of quantum physics. The authors consider a topological variant in constructing an object-based space that describes the physical properties of an object that are the most verified in science and describable with mathematical relations. The functionality of the proposed construct is tested by deriving the ''laws'' of conservation of energy and momentum in a relativistic form. The book is oriented towards experts in physics and psychology, advanced students, and readers interested in state-of-the-art science and the philosophy connected to it.
Digital Surplus

The information age has forced us to revise some of our traditional conceptions about work, profit, production relations, consumption and leisure. Traditional strategies focus on defending user rights and privacy. Instead, we propose to replace the concept of a user of digital services with that of a genuine digital worker: a person who produces content and who contributes to the formation of a digital capital that can eventually be transformed into material capital. In this chapter, we will try to summarize the research carried out by authors such as Fuchs, Fisher, Sandoval, et al. on digital work during the last decade. We will delve into the mechanisms for generating digital surplus value, clearly distinguishing between the material and digital planes, and we will discuss solutions that are somewhat more realistic than those that have so far been proposed in the literature. In particular, we will analyze the mechanisms that are used to recover the data we generate on the different digital platforms without worrying so much about the problem of privacy. The question is not what is known about us, but how many agents have access to that information. Free access to non-public data of the platforms is claimed through duly standardized procedures and monitored by public institutions. The possibility of demanding an economic return on the benefits obtained by the platforms on which we generate content is also analyzed. Incentives could be made through direct payments or by other means that may be yet to come. This work shows the appearance of new layers of economic activity, typical of the Digital Age. Finally, we can recognize an increase in complexity in the traditional political economy concepts themselves.
Meta-path Discovering based Recommendation Model via Heterogeneous Graph Neural Networks

Abstract In the era of information explosion, information overload has become a challenge for people to find information that interests them. Recommendation systems, as a kind of information filtering system, can understand users’ interests based on their personal data or historical behavior records, and are widely used in Web applications such as e-commerce, search, and streaming websites. However, traditional GNN-based recommendation algorithms can only handle regular topological graphs composed of a single type of nodes, while the data in today’s network is not composed of only a single type of nodes. In addition, traditional GNNs only fuse the first-order neighborhood features of nodes and cannot obtain the deeper structural relationships of nodes in the network. Therefore, when the data set is sparse and each node has only a very small number of neighbors, the recommendation quality of the traditional GNNbased recommendation algorithm decreases significantly. Heterogeneous graph neural networks provide new directions and ideas for recommendation research, and bring new challenges to data mining methods of heterogeneous graphs. Although the recommendation algorithm based on heterogeneous graph neural network is mainly based on the similarity of meta-paths, this method cannot effectively extract and utilize the rich structural and semantic information in heterogeneous graphs for recommendation, although the performance of the recommendation model can be improved by using the similarity of meta-paths. We proposed a joint multi-feature representation of information in heterogeneous information networks. For both user/item interaction and user socialization domains, the representation of node features in the case of sparse network connectivity is enhanced by using multi-order topological structure information in heterogeneous information networks. A graph neural network recommendation method oriented to attention mechanism is proposed. The recommendation quality of the recommendation model is enhanced in the case of sparse scoring matrix through the effective fusion of multidimensional representation vectors of users, items, ratings, and social. By conducting experiments on multiple public data sets, it is verified that the recommendation performance of our model in this paper significantly better than the baseline methods.
Challenges of Newspapers Production in Sudan

This study entitled: Challenges of Newspaper Production in Sudan - A survey study with application on a number of Sudanese newspapers in the period from January 1 to March 2022 AD, via using the descriptive analytical approach. The study aimed at supporting Sudanese newspapers to open new horizons for distribution, and promoting layoutthoughts that support raising the rate of readership. The study involves questions which are: What are the most prominent indicators of the weakness of journalistic production in Sudan, and what is the way to remedy them? What are the best ways to ensure the stability of the journalism in Sudan? In this study, an expertise questionnaire was used, targeting: (30) respondents. The study concluded to a set of findings: The study proved that the spread of digital news websites contributed to the reluctance of readers to buy hard copy newspapers. The field study showed that the high distribution costs affected the economics of the Sudanese press. Among the most important recommendations of the study: the press institutions should focus on implementing more improvements in the aspects of press layout and direction and avoiding the excitement that loses its value, necessity of giving the press sector more care and attention to reducing customs and taxes imposed on the inputs of the newspaper industry to ensure its stability.
The The effect of quality factors of hospital information systems on patient satisfaction

Hospital information systems (HIS) have brought significant changes in the way hospitals communicate with patients and add great value to the medical services provided by modern. Despite HIS long implementation in the public hospitals in the UAE, little is known about the quality aspects of HIS on patients. Accordingly, this study addresses this gap and assesses the effect of system quality, service quality, and information quality of HIS on patients’ satisfaction. This study adopted a quantitative approach. The sample consists of 500 patients at public hospitals in Al-Sharjah city. Respondents were selected using a systematic sampling technique. Data were collected using the questionnaire and analyzed using Structural Equation Modeling. The results reveal that the quality attributes of HIS i.e. system quality, service quality, and information quality, have a significant effect on patients’ satisfaction. Notably, these attributes are important measures of the success of every information system. Hence, HIS should be carefully designed to ensure these measures are well delivered for the users of these systems as well as hospital staff.
I feel kinda blah! Investigating language use in blogs

As social media users, English language students are likely to be faced with non-standard forms which are increasingly widespread in computer-mediated communication (CMC), where the distinction between spoken and written English seems to be blurred. The language used in CMC has come to be considered as a new literacy and needs to be explicitly taught to TESOL students. As a case in point, the proposed lesson explores the lexico-grammatical profile of a common phrase in Internet English (i.e. kinda) using the Birmingham Blog Corpus, a corpus consisting of nearly 630 million words from blog texts, freely accessible through the WebCorp Linguist’s Search Engine service.
Learning about words in use with StringNet Navigator

An essential part of language acquisition is acquiring vocabulary. Memorization of word meaning and/or spelling is not enough for students to understand how the word is used in context, and classroom activities do not always provide students with enough opportunities to recycle their vocabulary knowledge. The present lesson provides students with an opportunity to interact with new vocabulary in a different way and employ this newly acquired knowledge in context using an online corpus as a learning tool.
She said she told him

Despite their similarity in meaning, there are crucial grammatical differences when the verbs say and tell are used. In this chapter, a set of steps based on guided induction are described. These steps show how to use Sketch Engine for Language Learning to discover the grammatical differences between say and tell. Following these steps allows learners to discover the differences themselves; the role of the instructor is to assist and clarify. Furthermore, these steps can be used by learners to discover other facts of English usage as well.
Special Issue on “Operational Research Models for Blockchain”

The International Transactions in Operational Research (ITOR) will publish a special issue dedicated to “Operational Research Models for Blockchain”. Blockchain, a distributed ledger technology, is influential nowadays. After being successful in the finance sector in supporting cryptocurrency (such as bitcoins) and crowdfunding, as well as facilitating transactions via smart contracting, blockchain is nowadays proposed to be used in almost all industrial sectors. Well-known industrial examples include the use of blockchain for diamond provenance information disclosure, COVID-19 “vaccine passports”1 and food safety (e.g., in Walmart2). Each submission will be peer-reviewed according to the standard editorial policy of the International Transactions in Operational Research (ITOR), the flagship journal published by the International Federation of Operational Research Societies – IFORS. All contributions must be original, unpublished, and not under consideration for publication elsewhere at the time of submission. All manuscripts should be prepared according to the instructions to authors that can be found on the journal homepage (http://www3.interscience.wiley.com/journal/118505725/home). Authors should submit via the manuscript submission center at http://mc.manuscriptcentral.com/itor. Please indicate in the cover letter that the paper is submitted for publication in this special issue. The deadline for submissions is September 30, 2022. Inquiries should be sent directly to the managing Guest Editor of this special issue, Professor Tsan-Ming CHOI at tmjchoi@gmail.com.
Proving the Difference between the Social Presence and Level of Interest according to the Non-Face-To-Face Teaching Method in Pre-School Teachers' Major Classes at Universities: focusing on Video Classes and Real-time Video Classes

본 연구의 목적은 유아교육 전공수업에서 비대면 수업 방식에 의해 사회적 실재감과 흥미 수준의 차이를 검증하는 것이다. 이를 위해 비대면 수업 방식인 동영상 수업과 실시간 화상 수업의 방법에 의해서 학습자들의 사회적 실재감과 흥미수준에 차이가 나타나는지 검증하기 위해서 실험 연구를 수행하였다. 연구를 위해서 충남의 B대학의 유아교육 전공 수업을 수강하는 학생 51명을 대상으로, 동영상 수업은 23명, 실시간 화상 수업은 28명으로 수행하였다. 동영상 수업은 사전에 제작된 수업 동영상을 정해진 기간 내에 수강을 하고, 추가로 부여된 학습 과제를 수행하는 방식으로 진행되었고, 실시간 화상 수업은 수업 시간으로 정해진 시간에 실시간 화상 시스템(ZOOM)에 접속을 해서 수업을 운영하였다. 학기가 시작되는 시점에 사회적 실재감과 흥미 수준을 측정하였고, 학기가 종료되는 시점에 사회적 실재감과 흥미 수준을 측정하였다. 수집된 자료는 두 집단의 비교를 위해서 공변량분산분석(ANCOVA)를 사용하여 분석하였다. 그 결과 흥미수준 전체는 집단 간 차이가 나타났고, 흥미 수준의 하위 요인 중 교육내용 선호, 교육활동의 가치, 교육 담당자 선호도, 교육기관에 대한 선호도는 집단 간 차이가 나타나지 않았고, 교육 활동 참여의 노력, 교육활동에 대한 유능감, 교육에 대한 또래 추천 의지는 집단 간 차이가 나타났다. 사회적 실재감 전체와 하위요인 중 영향력과 응집력만 집단 간 차이가 나타났다. 본 연구의 결과는 수업의 목적과 교육 내용을 고려하여 수업 방식에 대한 전략 수립을 위한 기반 자료를 제시한 것이 함의점이다.The purpose of this study is to verify the effect of non-face-to-face teaching methods on social presence and interest level in early childhood education classes. The subjects of this study were 51 students majoring in early childhood education at University B in Chungnam. The video class was attended by 23 people. And 28 people took the real-time video class. Video class is to take a pre-made class video within a set period. The real-time video class was conducted at a fixed time using a real-time video system (ZOOM). The preliminary survey measured the social presence and interest level at the beginning of the semester. And the post-morate survey measured the social presence and interest level at the end of the semester. The collected data were analyzed using ANCOVA for comparison between the two groups. As a result, among the overall interest level and sub-factors, the effort to participate in educational activities, competence in educational activities, and the will to recommend peers for education showed differences among groups. Among the sub-factors, there were no differences between groups in terms of preference for educational content, value of educational activities, preference for educators, and preference for educational institutions. Among the overall social presence and sub-factors, only influence and cohesion showed differences between groups. The result of this study is to present the basic data for establishing a strategy for the teaching method in consideration of the purpose and contents of the lesson.
Study on uniform settlement monitoring and construction control of highway subgrade

In order to improve the accuracy of highway subgrade settlement monitoring, a method of automatic monitoring of highway subgrade uniform settlement is designed. Based on the settlement mechanism of highway subgrade, the lower computer and settlement displacement sensor of the monitoring system hardware are designed. In the software part, after reading the AD7606 data, the digital filter is carried out, and the model of monitoring subgrade settlement is designed. Experimental results show that the MRE and MSE index values of the method are higher than those of the comparison method, and the detection accuracy is higher.
Psychosocial Data

Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA The author declares no conflict of interest. Correspondence to: Matthew Alcusky, PharmD, PhD, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA 01605. E-mail: [email protected].
Fourier-based convolutional neural network accelerator (Conference Presentation)

Decision-making by artificial neural networks with minimal latency is paramount for numerous applications such as navigation, tracking, and real-time machine action systems. This requires the machine learning hardware to handle multidimensional data with a high throughput. Processing convolution operations being the major computational tool for data classification tasks, unfortunately, follows a challenging run-time complexity scaling law. However, implementing the convolution theorem homomorphically in a Fourier-optic display-light-processor enables a non-iterative O(1) runtime complexity for data inputs beyond 1,000 × 1,000 large matrices. Following this approach, here we demonstrate data streaming multi-kernel image batch-processing with a Fourier Convolutional Neural Network (FCNN) accelerator. We show image batch processing of large-scale matrices as passive 2-million dot-product multiplications performed by digital light-processing modules in the Fourier domain. In addition, we parallelize this optical FCNN system further by utilizing multiple spatio-parallel diffraction orders, thus achieving a 98-times throughput improvement over state-of-art FCNN accelerators. The comprehensive discussion of the practical challenges related to working on the edge of the system’s capabilities highlights issues of crosstalk in Fourier domain and resolution scaling laws. Accelerating convolutions by utilizing the massive parallelism in display technology brings forth a non-van Neuman-based machine learning acceleration.
A Study on the Educational Approach to Narrative : Focusing on TV current affairs and culture programs

이 연구는 TV 시사교양 프로그램을 중심으로, 매체의 변화 상황에 부합할 수 있는이야기 교육의 방향을 모색하는 데 목적을 둔다. 이야기는 그 의미의 폭이 매우 넓고친근한 것이지만, 매체 환경의 변화 속에서 TV 시사교양 프로그램에서 나타나는 이야기는 과거와는 다른 모습을 보인다. 학습자들이 정보의 왜곡 없이 시사교양 프로그램에서 나타난 이야기를 이해하기 위해서는 체계적인 교육적 접근이 필요하다. 이 연구에서는 2장에서 이야기 구조와 이야기의 구성적 자질, 매체와의 관계를 중심으로 이야기의 특성을 살펴보고, 3장에서 TV 시사교양 프로그램에서 이야기가 실현되는 모습을 고찰해 보았다. 그리고 4장에서는 교육과정을 중심으로 국어교육에서 이야기를 다루는 모습을 살펴본 후 시사교양 프로그램을 대상으로 한 이야기 교육의 방향을세 단계로 설정해 보았다. 본 연구를 기반으로 매체의 특성에 부합하는 이야기 교육을실현할 수 있는 구체적인 교육 방안이 마련되고 체계적인 교수 학습이 이루어진다면 학습자들은 TV 시사교양 프로그램에 실현된 이야기를 정확하게 이해하는 능력을 기를 수있을 것이다.Focusing on TV current affairs and culture programs, this essay aims to explore the direction of narrative education that can meet the changing situation of the media. The narrative is very familiar and broad in its meaning, but in the midst of changes in the media environment, the narratives appearing in TV current affairs and culture programs are different from those of the past. A systematic educational approach is necessary for learners to understand the narratives presented in current affairs and culture programs without distortion of information. In chapter 2, this essay examined the characteristics of the narrative, focusing on the narrative structure, the compositional qualities of the narrative, and its relationship with the media, and chapter 3 considered the realization of the narratives in TV current affairs and culture programs. In chapter 4, after examining how Korean language education deals with narratives, focusing on the Korean language curriculum, this essay set the direction of narrative education for current affairs and culture programs in three stages. Based on this research, specific teaching and learning methods to realize narrative education that matches the characteristics of the media are prepared, and systematic teaching and learning is carried out, so that learners can develop the ability to accurately understand the narratives realized in TV current affairs and culture programs.
Developing a Quality Management System and Indicators for Competency-Based Curriculum of Major Programs

This paper aims to develop and validate a quality management system and indicators for competency-based curriculum of major programs in 4-year universities. A quality management system and indicators were derived through a systematic approach and two times Delphi tests with experts. The quality management systems includes four areas: curriculum organization, curriculum implementation, curriculum supports, and educational performance and improvement. A total of four areas and 25 indicators were derived, and all indicators showed an average score of 4.0(appropriate) or higher, and the minimum CVR value of .64 or higher to ensure content validity. This study shows factors to consider when designing for university officials who consider to develop a competency-based major program curriculum. This study is meaningful in that it provided basic data for establishing a quality management system that improve the quality of education in many departments and universities operating competency-based curriculum continuously and systematically.