Reviewerly/exHarmony huggingface dataset:
RESEARCH OF COPING-RESOURCES OF PERSONALITY AT THE STAGE OF SELF-REALIZATION

The article presents the results of the study of the components of self-actualization and adaptation potential as predictors of strategies of proactive coping behavior of an individual at the stage of self-realization. Based on psychodiagnostic data obtained from a sample of 80 people aged 21 to 55, regression analysis revealed a combination of personal traits that determine the choice of each coping strategy. The key predictor factors of proactive coping have been established: self-esteem, contact and the ability to achieve an optimal balance in the "internal - external support" system. The results can be used in the practice of psychological counseling and corrective and developmental work to strengthen coping resources of the individual when faced with life difficulties at the stage of self-realization. The main method of data collection is psychological testing, implemented using the following methodological complex: self-actualization test (E. Shostrom, adaptation of Yu. E. Gozman, M. V. Zayka, M. V. Kroz); loss and acquisition of personal resources (N. Vodopyanova, M. Shtein); proactive coping (L. Aspinval, R. Schwarzer and S. Taubert, adapted by E. Starchenkova). Statistical data processing method is the regression analysis. The results of the regression analysis proved the influence of self-actualization and adaptation potential on the proactive coping behavior of the individual at the stage of self-realization. The choice of each strategy is determined by predictors (from 2 to 6). The largest contribution belongs to the indicators of self-realization scales (9 out of 14). Value orientations, spontaneity, synergy, cognitive needs, and creativity remained beyond the influence of proactive coping. The relationships between active coping strategies and components of self-realization are contradictory and ambiguous (most of them - 14 out of 22 - are of the opposite nature). The explanation is largely determined by the features of collectivist culture, the values of which are shared by adult members of society. It was found that the adaptive potential has a connection only with regard to the preventive coping strategy. Self-esteem, sociability, and the ability to find the optimal balance in the "internal-external support" system should be considered key predictors of active coping at the stage of self-realization.
Framework for entity extraction with verification: application to inference of data set usage in research publications

Purpose The purpose of this paper is to propose an extensible framework for extracting data set usage from research articles. Design/methodology/approach The framework uses a training set of manually labeled examples to identify word features surrounding data set usage references. Using the word features and general entity identifiers, candidate data sets are extracted and scored separately at the sentence and document levels. Finally, the extracted data set references can be verified by the authors using a web-based verification module. Findings This paper successfully addresses a significant gap in entity extraction literature by focusing on data set extraction. In the process, this paper: identified an entity-extraction scenario with specific characteristics that enable a multiphase approach, including a feasible author-verification step; defined the search space for word feature identification; defined scoring functions for sentences and documents; and designed a simple web-based author verification step. The framework is successfully tested on 178 articles authored by researchers from a large research organization. Originality/value Whereas previous approaches focused on completely automated large-scale entity recognition from text snippets, the proposed framework is designed for a longer, high-quality text, such as a research publication. The framework includes a verification module that enables the request validation of the discovered entities by the authors of the research publications. This module shares some similarities with general crowdsourcing approaches, but the target scenario increases the likelihood of meaningful author participation.
Predicting sparse circle maps from their dynamics

The problem of identifying a dynamical system from its dynamics is of great importance for many applications. Recently it has been suggested to impose sparsity models for improved recovery performance. In this paper, we provide recovery guarantees for such a scenario. More precisely, we show that ergodic systems on the circle described by sparse trigonometric polynomials can be recovered from a number of samples scaling near-linearly in the sparsity.
Current status of universities’ recommended book list: Analysis results, and recommendations - Focused on 21 universities in three regions

본 연구는 거점국립대학과 수도권 대학, 대전권 대학의 권장도서 목록과 현황을살펴보고, 어떠한 특징 및 경향을 보이고 있는지 분석하였다. 연구 대상은 충남대학교와의 비교 검토를 위해 거점국립대학(9개), 수도권 대학(7개), 대전권 대학(5개) 등21개 대학을 선정해 각 대학별 권장도서의 현황을 정리하였다. 대학의 권장도서와 관련된 특징을 요약하면 세 권역 모두 인문학 분야가 절대 다수를 차지하고, 다음으로 사회과학, 기술과학 분야이고, 자연과학 관련 도서는 전혀 없었다. 자연과학 관련 도서가 분류되지 못한 이유는 대학들의 권장도서 선정에서 인문학 또는 사회과학 도서를 주로 선정하는 이유도 있지만 최근 융복합 관련 도서들이점증하는 추세 속에서 자연과학 도서들이 기술과학으로 분류 집계되는 이유도 있다고 판단된다. 권장도서 목록의 분석 결과 1) 권장도서 선정에 있어서 유럽 북미 중심적이라는 점, 2) 선정 도서에 있어서 소설 장르를 중심으로 한 문학 작품의 비중이 많은 반면, 과학분야 서적이 크게 부족하다는 점, 3) 대학뿐만 아니라 사회적으로도 ‘고전’의 정의에대한 합의가 부족하다는 점, 4) 각 대학에서 추천도서나 교양도서라고 명명되는 대학의 권장도서 목록들이 학생들의 독서에 대해 무엇을 지향하고 있는가 잘 보이지 않는점 등의 문제점을 보였다. 따라서 대학들은 인문학과 사회과학 도서들의 선정과 마찬가지로 이공계열(기술과학, 자연과학 등) 권장도서를 분류할 때 명확한 기준과 트렌드를 반영하려는 노력이 필요하다.This study examines the list of recommended books and the current status of national universities, metropolitan universities, and universities in the Daejeon region, and analyzes the characteristics and trends they show. For comparative review with Chungnam National University, 21 universities including base national universities (9), metropolitan universities (7), and Daejeon (5) were selected and the current status of recommended books for each university was summarized. To summarize the characteristics related to the universities’ recommended books, the humanities field accounted for an absolute majority in all three areas, followed by the social sciences and technical sciences, and there were no books related to natural sciences. The reason why natural science books were not classified is because the humanities or social science books are mainly chosen in the selection of recommended books by universities. It is also considered that there is. As a result of the analysis of the recommended book list, 1) Europe and North America were central in the selection of recommended books; 2) the proportion of literary works centered on the novel genre in the selected books was high, but science books were greatly lacking; 3) there is a lack of consensus on the definition of 'classic', not only in universities but also in society; 4) it is difficult to see which of the universities’ recommended book lists, which are called recommended books or liberal arts books in each university, are oriented toward students' reading. The results showed problems such as incapacity. Therefore, as with the selection of humanities and social science books, universities need to make efforts to reflect clear standards and trends when classifying recommended books in science and engineering fields (technical science, natural science, etc.).
Analysis of Experience of Teacher’s Media Literacy Classes Using Grounded Theory

본 연구는 미디어 리터러시 수업경험이 있는 교사 9명을 대상으로 심층면담을 실시하고, 근거이론에 기반하여 교사의 미디어 리터러시 수업경험의 과정에 나타난 다양한 현상과 조건, 전략들을 파악하는 데 목적이 있으며, 이를 바탕으로 학교미디어교육의 활성화 방안에 관한 시사점을 도출하고자 하였다. 교사의 미디어 리터러시 수업 경험을 분석한 결과 187개의 개념, 56개의 하위범주, 28개의 범주가 도출되었다. 패러다임 모형을 활용한 분석 결과, 중심현상으로 교과 분절적·통합적·제한적 미디어 리터러시 교육 수행 및 버거움, 인과적 조건으로 긍정적 수업기대감 및 미디어교육에 관한 관점 혼란, 맥락적 조건으로 미디어 리터러시의 교과 연계 수행 욕구 및 실천적 한계, 중재적 조건으로 교사의 미디어 리터러시 교육 역량의 중요성 및 미디어 교육과정 수립의 필요성, 대응 전략으로 적극적·점진적· 제한적 미디어 리터러시 교육과정 재구성 및 학습자중심 수업 설계, 결과로 미디어리터러시 수업전문성 신장 및 학습자중심 교육관 강화 등을 발견하였고, 이를 토대로‘미디어 리터러시 수업을 통한 학습자 중심 교육 전문성 신장하기’ 과정 모형을 도출하였다. 분석 결과를 바탕으로 미래교육 및 국어교육과 연계한 미디어 교육 설계, 학교미디어 교육과정 운영 로드맵 개발 등의 정책적 시사점을 제안하였다.This study conducted in-depth interviews with nine teachers with media literacy teaching experience to identify various phenomena, conditions, and strategies that appeared in teachers’ experience of media literacy teaching based on grounded theory. We attempted to formulate implications for a revitalization plan for school media education. After analyzing the in-depth interview data, 187 concepts, 56 subcategories, and 28 categories were derived. Based on the paradigm model of grounded theory, We found that important phenomena such as the difficulty in carrying out curriculum-integrated media literacy education, confusion of perspectives on media education, the desire to perform media literacy education in connection with the subject, and the reorganization of the learner-centered media literacy curriculum were found. A process model was developed for ‘enhancing learner-centered educational expertise through media literacy classes’, Five policy implications for revitalizing school media education were suggested.
The Use and Potential of Critical Writing in Writing Education

이 연구에서는 쓰기 교육에서 교육적 의미를 확장해 갈 만한 비평적 글쓰기의 새로운 지향을 제안하였다. 비평적 에세이와 패러디 글쓰기, 매체 활용 비평이 그 대안이될 수 있다. 비평적 에세이는 비판적, 논리적 사고를 근간으로 하여 정형화된 패턴을벗어나 자유롭게 비평적 쓰기의 전략을 실현하는 폭넓은 쓰기 표현 활동을 의미한다. 패러디 쓰기는 원 텍스트와 그 시대의 문화를 반영하여 비판적 사고와 논리를 기초로 타당한 가치와 근거를 들어 텍스트를 재구성하는 것이다. 매체 활용 비평은 다양한 종류의 매체 텍스트를 통하여 개인의 비평적 표현을 담아내는 것이다. 이를 통하여 쓰기 교육 현장에서 논리적, 비판적 사고를 기반으로 비판적 문식성을 키워 독자와 텍스트 간 더 적극적으로 소통할 수 있는 다양한 방법론이 펼쳐지기를 기대한다.This report suggests a new purpose for critical writing that can be applied to writing education. It also proposes alternatives such as critical essay, parody writing, and media writing based on a critical thinking. Critical essays include various writing activities that practice the free strategy of critical writing that involve critical and logical thinking. Parody writing involves restructing the text so that it reflects both the original text and contemporary culture, which again involves critical and logical thinking while, providing reasonable value and evidence. Media writing based on a critical thinking includes individual critical expressions using various kinds of media text. Through these, students can raise their critical literacy through logical and critical thinking, using various means for readers to activly communicate with the text, and thus contribute to the field of writing education.
Distributed Computing Column 85 Elastic Consistency

Overview. In this column, we attempt to cover a new and exciting area in distributed computing, that is, distributed and parallel machine learning. Together with my students Giorgi Nadiradze and Ilia Markov, I share an expository version of a recent conference paper [30] which attempts to provide a "consistency condition" for optimization problems which appear in distributed computing and machine learning applications.
A portable clustering algorithm based on compact neighbors for face tagging

We focus on the following problem: Given a collection of unlabeled facial images, group them into the individual identities where the number of subjects is not known. To this end, a Portable clustering algorithm based on Compact Neighbors called PCN is proposed. (1) Benefiting from the compact neighbor, the local density of each sample can be determined automatically and only one user-specified parameter, the number of nearest neighbors k, is involved in our model. (2) More importantly, the performance of PCN is not sensitive to the number of nearest neighbors. Therefore this parameter is relatively easy to determine in practical applications. (3) The computational overhead of PCN is O(nk(k2+log(nk))) that is nearly linear with respect to the number of samples, which means it is easily scalable to large-scale problems. In order to verify the effectiveness of PCN on the face clustering problem, extensive experiments based on a two-stage framework (extracting features using a deep model and performing clustering in the feature space) have been conducted on 16 middle- and 5 large-scale benchmark datasets. The experimental results have shown the efficiency and effectiveness of the proposed algorithm, compared with state-of-the-art methods. [code]
Preserving Our Mental Autonomy: Freedom of Thought in the Speech 4.0 Era

The proliferation of new technologies paved the way for novel or contemporary methods of propaganda, shifting from traditional methods to computational ones that incorporate psychoanalytic techniques, behavioral microtargeting, personalized content delivery, automated bots, and widely accessible social media platforms. While digitalization aids the society in many affirmative aspects, above-referred tools could also be used by malicious or adversarial actors to manipulate the masses or targeted individuals, disregarding human mental autonomy and dignity.
Perancangan Sistem Informasi Penjadwalan Laboratorium Pendidikan Informatika Universitas PGRI Sumatera Barat

The preparation and writing of the practicum lecture schedule in the Informatics Education computer laboratory has not been optimal. In addition, the laboratory loan process has not been efficient in terms of time, because lecturers and students have to contact and come directly to the laboratory. The purpose of this study was to design and test a laboratory scheduling information system for the informatics education study program at Universitas PGRI Sumatera Barat using the Software Development Life Cycle (SDLC) method. This research resulted in an information system that can help labor technicians, lecturers, students and related stakeholders. The results of beta testing research on expert validation obtained an average validation of 87.4% with very good information and the user assessment questionnaire obtained an average value of 89.8% with very good information.
Perancangan Sistem Informasi Jasa Laundry berbasis Android Pada Bio Clean Laundry

Usually the recording of transactions in Bio Clean Laundry is done by writing transactions in a book that has been provided, so that it often causes errors in recording the transaction notes and the results of washing transactions. In addition, there are often discrepancies in the data resulting from transactions so that the business suffers losses. Based on these problems, an Android-Based Laundry Service information system was designed at Bio Clean Laundry using the Unified Modeling Language (UML) modeling language and getting to know programming languages using Block Programming, and the system development life cycle (SDLC) method where this method has planning stages, analysis phase, design phase, implementation phase, testing phase, and maintenance phase. Testing of this information system is done by using blackbox and whitebox methods. Based on testing with the blackbox method, 4 menus were tested with the expected results as many as 12 procedures and 26 results by obtaining a valid percentage of success results. This indicates that all the information system testing scenarios are as expected so that officers can easily record customer data and sales transactions, so this information system can function properly.
Patterns of Sociotechnical Design Preferences of Chatbots for Intergenerational Collaborative Innovation: A Q Methodology Study

Chatbot technology is increasingly emerging as a virtual assistant. Chatbots could allow individuals and organizations to accomplish objectives that are currently not fully optimized for collaboration across an intergenerational context. This paper explores the preferences of chatbots as a companion in intergenerational innovation. The Q methodology was used to investigate different types of collaborators and determine how different choices occur between collaborators that merge the problem and solution domains of chatbots’ design within intergenerational settings. The study’s findings reveal that various chatbot design priorities are more diverse among younger adults than senior adults. Additionally, our research further outlines the principles of chatbot design and how chatbots will support both generations. This research is the first step towards cultivating a deeper understanding of different age groups’ subjective design preferences for chatbots functioning as a companion in the workplace. Moreover, this study demonstrates how the Q methodology can guide technological development by shifting the approach from an age-focused design to a common goal-oriented design within a multigenerational context.
Metamorphic Cryptography using 8-Way Dynamic DNA Sequencing &amp; KIMLA Method

In the digital world transfer of information can take place in secure way by encrypting the secret message and hiding encrypted message in to various multimedia such as text, image, audio &amp; video. Cryptography along with steganography provides security by embedding the encrypted text message in such a way that any intruder is unaware about the message is embedded in it. Cipher text produced by encryption process that create confusion but the concept of steganography hiding doubtful characters of encrypted text message. So, it is well protected. This paper emphasizes on the encryption of secret text message and concealing the encrypted message in to gray scale image. To encrypt the secret text message 8-way dynamic DNA sequencing is used and for further security improved LSB (KIMLA) method has used an image for hiding the encrypted text message. The proposed approach provides better security &amp; also efficient in term of payload capacity and robustness.
AI as Inventor

The chapter analyses the impact of AI and IP Law. In August 2019, news reports carried stories about the first patent applications naming an AI algorithm, called DABUS, as an inventor on patent applications. Almost immediately, the United States Patent Office published a request for comments, asking questions about how it should approach AI and patent law. Less than a year later, the questions were seemingly definitively resolved.
Combining Measure Theory and Bayes? Rule to Solve a Stochastic Inverse Problem.

induced by the combination of a prior probability measure and the deterministic model. We establish existence and uniqueness of observation-consistent posteriors and present both stability and error analyses. We also discuss the relationships between consistent Bayesian inference, classical/statistical Bayesian inference, and a recently developed measure-theoretic approach for inference. Finally, analytical and numerical results are presented to highlight certain properties of the consistent Bayesian approach and the differences between this approach and the two aforementioned alternatives for inference.
The AI industry and regulation: time for implementation?

Artificial intelligence (AI) has enabled new innovations, as well as having applications in many traditional products, such as cars and aircraft, which are already subject to regulation designed to protect the public from harm and ensure fairness in economic competition. In general, the approach to the regulation of AI-enabled products to ensure public safety should be informed by an assessment of the aspects of risk that the addition of AI may introduce, including those aspects of risk that it may increase or reduce. Additional requirements for AI regulations add further layers of complexity to innovation by industry. This chapter will address questions such as how the incorporation of AI into these products will affect the relevant regulatory approaches. If a risk falls within the bounds of an existing regulatory regime, moreover, the policy discussion should start by considering whether the existing regulations already adequately address the risk, or whether they need to be adapted to the addition of AI. Where regulatory responses to the addition of AI threaten to increase the cost of compliance, or slow the development or adoption of beneficial innovations, policymakers should consider how those responses could be adjusted to lower the barriers to innovation without adversely impacting safety or market fairness. In April 2021, the European Commission introduced a proposal for legislation to govern the use of AI, acting on its aim to draw up rules for the technology sector over the next five years and on its legacy as the world’s leading regulator of digital privacy. At the heart of the issue is the will to balance the need for rules with the desire to boost innovation, allowing the old continent to assert its digital sovereignty. At the same time, with Brexit the UK is now in a more autonomous position and looking at diverging from the European Union (EU) on this issue as with many other regulatory frameworks (despite the current legislation having been inspired by the UK in the past). On where the needle should be, opinions are divided – and the publication of the Commission’s draft proposal will not be the end of the discussion. But how will such rules fit in with broader plans to build European tech platforms that will compete globally with other regions? How will new requirements on algorithmic transparency come across to the general public? And what kind of implementation effort will this require from start-ups, mid-size companies and big tech?
Stroboscopic lighting with intensity synchronized to rotation velocity alleviates motion sickness gastrointestinal symptoms and motor disorders in rats

Motion sickness (MS) is caused by mismatch between conflicted motion perception produced by motion challenges and expected "internal model" of integrated motion sensory pattern formed under normal condition in the brain. Stroboscopic light could reduce MS nausea symptom via increasing fixation ability for gaze stabilization to reduce visuo-vestibular confliction triggered by distorted vision during locomotion. This study tried to clarify whether MS induced by passive motion could be alleviated by stroboscopic light with emitting rate and intensity synchronized to acceleration-deceleration phase of motion. We observed synchronized and unsynchronized stroboscopic light (SSL: 6 cycle/min; uSSL: 2, 4, and 8 cycle/min) on MS-related gastrointestinal symptoms (conditioned gaping and defecation responses), motor disorders (hypoactivity and balance disturbance), and central Fos protein expression in rats receiving Ferris wheel-like rotation (6 cycle/min). The effects of color temperature and peak light intensity were also examined. We found that SSL (6 cycle/min) significantly reduced rotation-induced conditioned gaping and defecation responses and alleviated rotation-induced decline in spontaneous locomotion activity and disruption in balance beam performance. The efficacy of SSL against MS behavioral responses was affected by peak light intensity but not color temperature. The uSSL (4 and 8 cycle/min) only released defecation but less efficiently than SSL, while uSSL (2 cycle/min) showed no beneficial effect in MS animals. SSL but not uSSL inhibited Fos protein expression in the caudal vestibular nucleus, the nucleus of solitary tract, the parabrachial nucleus, the central nucleus of amygdala, and the paraventricular nucleus of hypothalamus, while uSSL (4 and 8 cycle/min) only decreased Fos expression in the paraventricular nucleus of hypothalamus. These results suggested that stroboscopic light synchronized to motion pattern might alleviate MS gastrointestinal symptoms and motor disorders and inhibit vestibular-autonomic pathways. Our study supports the utilization of motion-synchronous stroboscopic light as a potential countermeasure against MS under abnormal motion condition in future.