Reviewerly/exHarmony huggingface dataset:
A Study on High School Students' Perception of Self-Growth Experience through Counseling Psychology Class: use of Q methodology

Objectives The purpose of this study is to explore the types and characteristics of high school students' self-growth experiences through counseling psychology subject classes.&#x0D; Methods This study utilized the Q methodology. A Q sample of 33 questions was determined through literature, open-ended questionnaires, and 1:1 in-depth interviews, and 30 high school sophomores who experienced counseling psychology subject classes were selected as P samples through objective sampling. After classifying the Q sample in the forced distribution method within the 9-point scale distribution, it was analyzed using the QUANL-PC program.&#x0D; Results As a result of the analysis, the perception of self-growth experience was found to be three types. Type 1 is the ‘Insight growth type’, which shows the characteristics of gaining insight into oneself and understanding others deeply through various activities in class. Type 2 is the ‘Self-esteem growth type’, which shows the characteristics of evaluating and respecting oneself as a person of value, such as not caring about others anymore and expressing one’s opinion appropriately. Type 3 is the ‘Initiative growth type’, showing active participation in each class and concentrating on the class, showing the characteristics of being satisfied with the process-oriented evaluation.&#x0D; Conclusions In line with the pursuit of individuality and diversity in the 2022 revised curriculum, counseling psychology is secured as a high school credit system subject, so students can choose subjects that they cannot learn at school, and an empirical curriculum for experts with professional careers to understand counseling psychology. can satisfy students' desire for self-growth.
Analysis of the difference in reading comprehension according to the blank variable of the text

Objectives In this study, the effect of the number of blanks in the text on students' reading was analyzed, and the possibility of development as a test tool was identified.&#x0D; Methods To this end, a test was conducted on 267 high school students in Daejeon Metropolitan City to measure the influence of the blank variable in the text. The effect of the number of blanks on students' reading comprehension was identified by analyzing the effect size by classifying it into four conditions according to the number of blanks conditions.&#x0D; Results First as a result, The effect size between the conditions without blanks and the conditions with blanks for each tenth word was small. When the blanks were in each of the 7th and 5th words, the number of blanks had a significant effect on students' reading. Second, when reading the explanatory text, the number of blanks had an effect rather than the narrative text. Third, the number of blanks had a greater influence on factual understanding than inference understanding.&#x0D; Conclusions Considering these results, the effect of the number of blanks on students' reading can be more specifically investigated, and evaluation tools such as the blank filling test can be actively used in class design considering students' reading comprehension.
Development and validation of home learning environment

Objectives The purpose of this study is to develop and validate a test that can measure the home learning environment perceived by university students.&#x0D; Methods The home learning environment test was composed of three valiables ; parent-child relationship, reading environment, learning support environment. The necessary for home learning environment by analyzing the environment that can be learned at home through previous research and extracting factors. This test is an environment for home learning, and it is a test that can comprehensively measure the home learning environment that can measure the environment that parents should provide. The subjects of this study were 460 university students, and a total of 450 data were analyzed except for 10 insincere data., The collected data were statistically processed by descriptive statistics, correlation, reliability test, exploratory factor analysis, and confirmatory factor analysis by using SPSS 27.0 and AMOS 25.0 programs.&#x0D; Results The reliability of the parent-child relationship among the sub-factors of the home learning environment was Cronbach α .905, the reliability of the reading environment was Cronbach α .896, the reliability of the learning environment was Cronbach α .899, and the reliability of the whole home learning environment was Cronbach α .933.&#x0D; Conclusions This test proved its validity through exploratory factor analysis and confirmatory factor analysis, and it will be used as basic data to check important environmental factors when parents teach their children at home.
Interconnected DeFi: Ripple Effects from the Terra Collapse

The emerging world of decentralized finance (DeFi), facilitated by smart contracts operating on blockchain networks, has been notable both for its rapid growth and the high-profile collapses of several of its largest participants. In this paper, we provide a technical account of the financial mechanisms which facilitated the growth and eventual collapse of the Terra Network. From this analysis, we outline a generalizable economic theory of blockchains which aims to differentiate the economics of blockchains as programmable environments from blockchains as accounting ledgers for crypto-assets. This adds to the existing literature on crypto-assets, which largely focuses on the financial characteristics of the crypto-assets themselves rather than their underlying blockchains. We argue that DeFi is structured so as to offer consumers distinct blockchain networks as competing choices differentiated by several key characteristics. We test several implications of this theory using Terra's collapse as a natural experiment, finding evidence that bridges between programmable blockchain networks create increased risk of spillover effects to other blockchains' programmable environments in the wake of a major shock event like Terra's collapse. Specifically, blockchains suffered a time-bound loss of market share and the likelihood of this loss grew approximately 40% for each additional bridge that was deployed in common with Terra at the time of Terra’s collapse.
Driving the Transformation to Digital Catalysis

Abstract This invited Team Profile was created by a group of scientists working on concepts for research data management in catalysis in the Department of Inorganic Chemistry at the Fritz‐Haber‐Institut (FHI) der Max‐Planck‐Gesellschaft in Berlin. They recently published an article about their views on the ongoing digital transformation in catalysis research, in which the structure and current status of catalysis data are analyzed to highlight the benefits of FAIR data. Considering the fundamental aspects of catalysis as a kinetic phenomenon, they discuss how working methods should change to achieve a deeper understanding of the physical principles governing catalysis and discover new catalysts. “Achieving Digital Catalysis: Strategies for Data Acquisition, Storage and Use”, C. P. Marshall, J. Schumann, A. Trunschke, Angew. Chem. Int. Ed. Engl . 2023, 62 , e202302971 .
REVEALING GENDER DIFFERENCES IN SELF-REGULATION SKILLS USING CLICKSTREAM DATA

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 4268-4273ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.1129Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
PROJECT FOR SECONDARY-SCHOOL STUDENTS: ENERGY USED TO OBTAIN WATER

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 1985-1993ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0601Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
MODERN AND FRIENDLY DIGITAL PORTAL FOR TEACHERS, STUDENTS AND PARENTS: “E-PREP” FOR EDUCATION IN THE EUROPEAN UNION

MODERN AND FRIENDLY DIGITAL PORTAL FOR TEACHERS, STUDENTS AND PARENTS: “E-PREP” FOR EDUCATION IN THE EUROPEAN UNION
EXPERIENCES, BARRIERS AND SUPPORTS IN DIGITAL ASSESSMENT ACROSS 4 EUROPEAN EDUCATIONAL INSTITUTIONS

Appears in: EDULEARN23 Proceedings Publication year: 2023Page: 3213 (abstract only)ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0890Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
THE CULTURAL VALUES OF EARTHEN ARCHITECTURE: A HERITAGE EDUCATION EXPERIENCE IN NEPAL

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 4900-4905ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.1296Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
DEVELOPMENT OF PERSONAL COMPETENCES THROUGH STEM: EVIDENCE-BASED METHODS AND THEIR USE IN EDUCATIONAL SYSTEMS

DEVELOPMENT OF PERSONAL COMPETENCES THROUGH STEM: EVIDENCE-BASED METHODS AND THEIR USE IN EDUCATIONAL SYSTEMS
TECHNOLOGIES OF PEDAGOGICAL ADAPTATION OF FOREIGN SCHOOLCHILDREN TO THE NEW EDUCATIONAL ENVIRONMENT

1 Kazan (Volga region) Federal University (RUSSIAN FEDERATION)2 Kazan State Power Engineering University (RUSSIAN FEDERATION)3 Kazan National Research Technical University named after A. N. Tupolev – KAI (RUSSIAN FEDERATION)
IREAD: INTERPRETABLE RECOGNITION AND AUTOMATED DECONSTRUCTION OF SEMANTICS IN WRITTEN ENGLISH

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 2266-2275ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0668Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
FRIENDSHIPS ON DEMAND? THE USE OF SOCIAL MEDIA BY MIDDLE SCHOOL YOUNGSTERS IN MEXICO CITY

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 2809-2815ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0798Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
COMPILATION AND ANALYSIS OF PHYSICS AND CHEMISTRY SIMULATORS AND VIRTUAL LABORATORIES FOR SECONDARY EDUCATION

COMPILATION AND ANALYSIS OF PHYSICS AND CHEMISTRY SIMULATORS AND VIRTUAL LABORATORIES FOR SECONDARY EDUCATION
THE LEARNING APPROACHES OF LYCEUM STUDENTS ATTENDING THE COURSE "PRINCIPLES OF ECONOMIC THEORY"

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 7172-7181ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.1880Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
DIGITAL MATHS PREPARATION COURSE IN MASTER CRAFTSMAN TRAINING - A PSEUDONYMOUS MULTIMETHOD EXPERIMENTAL STUDY

DIGITAL MATHS PREPARATION COURSE IN MASTER CRAFTSMAN TRAINING - A PSEUDONYMOUS MULTIMETHOD EXPERIMENTAL STUDY
PERCEIVED DISCRIMINATION IN MIGRANT SCHOOLCHILDREN IN NORTHERN CHILE

Appears in: EDULEARN23 Proceedings Publication year: 2023Page: 23 (abstract only)ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0025Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
A Remote Sensing Image Defogging Method Based on Improved CycleGAN Network

This article presents a methodology for dehazing remote sensing images using deep learning and multi-temporal remote sensing data. The CycleGAN network has been selected as the foundation. We created a sample set of satellite images that are roughly aligned, depicting both smoggy and non-smoggy conditions, using multi-temporal remote sensing resources. In the proposed defogging algorithm, the perceptual loss of cyclic consistency is added, and the trained VGG16 network is utilized to input the original and generated images simultaneously. This allows for the features of a certain layer to be obtained and the loss to be calculated. The structure is beneficial for minimizing the reliance on paired training data, preserving image details, and enhancing clarity. The experimental results on GF1, GF2, and GF7 satellite images demonstrate that the proposed method produces high-quality, clear images. The system is designed to process remote sensing images without requiring extensive processing of complex data and tags.
THE BENEFITS OF THE EARLY INTRODUCTION OF SEO TO THE NEW DIGITAL GENERATION

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 2357-2363ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0686Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
Notice of Retraction: Comparison of deep learning techniques on content based image retrieval

Modern Physics Letters AOnline Ready No AccessNotice of Retraction: Comparison of deep learning techniques on content based image retrievalOriginal articleComparison of deep learning techniques on content based image retrievalMeenakshi Garg, Manisha Malhotra, and Harpal SinghMeenakshi GargUniversity Institute of Computing, Chandigarh University, Mohali, Punjab, India, Manisha MalhotraUniversity Institute of Computing, Chandigarh University, Mohali, Punjab, India, and Harpal SinghDepartment of Electronics and Communication Engineering, CEC Landran, Punjab, Indiahttps://doi.org/10.1142/S021773232393001XCited by:0 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail [Mod. Phys. Lett. A, (2019) 1950285] DOI: 10.1142/S0217732319502857 Remember to check out the Most Cited Articles! Boost your collection with these new physics books today! FiguresReferencesRelatedDetailsRelated articlesComparison of deep learning techniques on content based image retrieval11 Sep 2019Modern Physics Letters A Recommended Online Ready Metrics History Published: 7 July 2023 PDF download
Experience the precision of time: radiocarbon 3.0

Experience the precision of time: radiocarbon 3.0 RESOLUTION aims to achieve an accurate and highly resolved chronology back to 55 000 years BP (Before Present), using some new floating sections of fossil trees. In fact, with tree rings, the resolution will be an order of magnitude higher, and using the most recent advances in the AMS technique, we will obtain confidence intervals of only a few centuries in glacial times. In this way, we can establish in a precise way the timing of when Homo sapiens arrived in Europe, their interaction with Neanderthals and the final cause of the Neanderthal extinction. The project involves fieldwork in the Mediterranean and Southeast Europe to find more glacial trees, study the exist-ing collection of glacial conifers, exceptional 14C precision for 14C dates in the glacial, and the cutting-edge methodolo-gy linking floating tree-ring chronologies to 10Be on the ice core scale.
The Development Trend of Intelligent Logistics Based on Machine Vision

After half a century of development, artificial intelligence technology has been preliminarily mature, and it has ushered in a stage of rapid development in the twenty-first century. Artificial intelligence has injected new impetus into health care, the Internet, manufacturing, and logistics, which have given these industries an opportunity for rapid development. Especially in the logistics industry, automatic vehicles, AGV, and intelligent picking have applied a large number of artificial intelligence technologies, bringing more changes to all aspects of logistics, improving efficiency, and reducing costs. In addition, AI will play a role in more aspects of logistics in the future, especially in data mining, machine vision, machine deep learning, and natural speech processing to open up more efficient ways to make “data-driven logistics” a reality. This paper shows the application and reform of artificial intelligence to the logistics industry from two dimensions, namely the application of artificial intelligence existing technology in the field of logistics and the promotion of the development of artificial intelligence to the development of logistics and the resulting development trend of intelligent logistics.
A scalable approach for continuous time Markov models with covariates

Abstract Existing methods for fitting continuous time Markov models (CTMM) in the presence of covariates suffer from scalability issues due to high computational cost of matrix exponentials calculated for each observation. In this article, we propose an optimization technique for CTMM which uses a stochastic gradient descent algorithm combined with differentiation of the matrix exponential using a Padé approximation. This approach makes fitting large scale data feasible. We present two methods for computing standard errors, one novel approach using the Padé expansion and the other using power series expansion of the matrix exponential. Through simulations, we find improved performance relative to existing CTMM methods, and we demonstrate the method on the large-scale multiple sclerosis NO.MS data set.
OLAC and Serials: An Appraisal

This paper reports on how journal articles are presented within the Open Language Archive Community’s (OLAC) OAI-PMH aggregator for language resources. It discusses metadata record composition across data providers. The conceptual category of "Language resource" is a broad agglomeration including original creative works captured in handwritten, audio, and video mediums, annotations to the raw captures, and analysis of those annotations. Discovery of language resources is a challenge given the diversity of resource origins. Original creative works and annotations are products often available via archives while analysis, theory, and advice are often released via formal publishing venues such as journals. Scholars benefit from a view where resources from various release sources can be displayed with their inter-resource relationships, e.g., source material and analysis. Understanding how secondary journal materials are presented in OLAC records is a first step towards increasing the end-user utility of the OLAC aggregator.
ResearchEquals Archival strategy

When we publish research, we are committing to preserving that research content for as long as we can. At the same time, we need to be realistic and recognize that Liberate Science (”the business”) is still young and it remains uncertain how long we will be around. How do we make sure copies of the research are archived and available in futures that may or may not include the business?To that end, we are today introducing the first iteration of our archival strategy for...
DEVELOPMENT OF FIREFIGHTING ROBOT TO USE IN HAZARDOUS SITUATION

This innovative project lets users wirelessly control a firefighting robot with a water tank and spray gun.The robotic vehicle and water pump are controlled by an RF remote and RF receive-based microcontroller circuit.The receiver circuit receives commands from the RF remote.Receiver circuit decodes data commands.It sends it to the microcontroller.The microprocessor then instructs the vehicle motors to move in the specified direction.The water pump motor and pump direction motor spray water on user demand.The operator can operate the robot and extinguish the fire from a safe distance.The remote controls the robot within 8 metres.
Automated Scoring of Asynchronous Interview Videos Based on Multi-modal Window-Consistency Fusion

Soft skills, such as personality characteristics, communication skills and leadership, affect personal career performance greatly. Therefore, predicting the soft skills of interviewees can provide interviewers with a strong reference for the decision of hiring. Nowadays, as asynchronous video interviews have gradually become a popular form of interviews, automatic interview evaluation of soft skills has attracted widespread attention from researchers. However, existing automatic evaluation methods have two significant drawbacks. Firstly, most of them model the problem as multi-modal fusion of long-term sequences, while ignoring the consistency of multi-modal expression in short-time windows, which is a key attribute of the interview scene. Secondly, without embedding of professional knowledge in the interview field, the interpretability of the model is relatively weak. To address the above problems, we propose a novel <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Multi-modal Window-Consistency Fusion</i> network, namely MWCF, to capture the expression consistency of different modalities in a short-time window and re-weight the language signals to enhance important portions in verbal clues. Meanwhile, in order to enhance the interpretability of the evaluation model, we introduce the professional knowledge of interviewers by proposing a topic generation module based on question attention, and embedding the most representative keywords under different soft skills into the model. Furthermore, a real-world interview dataset is built by developing an asynchronous interview platform, and extensive experiments are conducted to show the superior performance of our proposed model.
A Study of the Construction “Zhu Da De Jiu Shi Yi Ge X” in the New Media Context

There is an emerging linguistic construction “zhu da de jiu shi yi ge (主打的就是一个) X” in the new media context. By collecting and analyzing relevant linguistic data from three mainstream new media platforms, this paper investigates the syntactic features, semantic characteristics, and pragmatic aspects of this construction from a micro perspective. Additionally, taking into account the current development of new media and linguistic mechanisms, the study conducts a macro-level analysis of the formation pathway of this linguistic data and summarizes the usage characteristics and generation mechanism of this type of linguistic construction “zhu da de jiu shi yi ge X”, aiming to contribute its own perspectives and ideas to the application research of construction grammar and the exploration of regularities and trends in the use of language in new media.
Towards Making Shared Metadata Interoperable across the Open Language Archives Community

This paper presents two methods for connecting aggregated records to their source institutional metadata profiles. The use case of the Open Language Archives Community (OLAC) application profile is considered and evaluated. The design purpose of OLAC is to share knowledge about language resources. To that end, the OLAC metadata application profile supports the exchange of metadata so that it can be aggregated and serve the needs of end-users. Uniformity in the semantic use of elements within the application profile provides the greatest utility for end-users. Discovering the source of semantic diversity remains a challenge. A first step in providing scholars access to the semantics of aggregated metadata is to publish the local metadata profiles used by institutions.