bluuebunny/crossref_metadata_2025_split huggingface dataset:
Time to coronary catheterization in patients with non-ST-segment elevation acute coronary syndrome and high Global Registry of Acute Coronary Events score
Authors: Bar Omer , Elias Adi , Halhal Basheer , Marcusohn Erez 
Published: December 2023

Aims
Current guidelines recommend an early (<24 h) invasive coronary angiography (ICA) strategy in non-ST-segment elevation acute coronary syndrome (NSTE-ACS) patients with Global Registry of Acute Coronary Events (GRACE) score over 140. Evidence for this recommendation is based on older trials.

Methods and results
Between 1 February 2016 and 31 July 2021, 1767 patients with a primary diagnosis of NSTE-ACS without indication for urgent ICA underwent ICA during index hospitalization. Six hundred and fifty-five patients underwent early invasive ICA (within 24 h) and 1112 underwent late ICA (between 24 h and 1 week). One hundred and seven patients had a GRACE risk score of 140 or above and 1660 had a GRACE risk score under 140. The primary composite outcome was all-cause mortality, stroke, and recurrent myocardial infarction (MI). Median time from admission to ICA was 13.3 h (IQR 6.0–20.6) for the early group and 59.9 h for the late group (IQR 23.5–96.3). There was no difference between the early and late ICA groups in the primary composite outcome [late catheterization >24 h hazard ratio 1.196, 95% confidence interval (CI) 0.969–1.475, P-value 0.096]. A multivariable Cox regression model for the composite outcome revealed no difference between the early and late ICA groups (late catheterization >24 h hazard ratio 1.0735, 95% CI 0.862–1.327, P-value 0.512) with no effect for performing early ICA in patients with GRACE score over 140 (hazard ratio 1.291, 95% CI 0.910–1.831, P-value 0.151).

Conclusion
An early ICA strategy in patients with NSTE-ACS patients and GRACE risk score over 140, compared with late ICA, was not associated with improved composite outcome of death, myocardial infarction, and stroke at 1 year.
An Enhanced Accident Detection and Recovery System Using MEMS Technology
Authors: Purushothamans Sathasivam , Mohanavel Gunasekaran , Kalaichelvi Karuppanan 
Published: December 2023

Abstract
This is an intention to implement an innovative solution for this problem by developing an automatic accident detection system and recovery analysis play an important role. By using this mobile (SMS) and also with the help of embedded technology we can solve this problem. An accelerometer can be used in a car alarm application; Dangerous driving can be detected with an accelerometer. The vibration sensor detects the accident. The MEMS sensor detects a rollover and alerts the driver. A major accident can be detected using accelerometer readings. According to this idea, when a car is involved in an accident, the vehicle number and contact information for the people involved are promptly recorded and will be transferred to police control room or a rescue team by using GSM MODEM. As a result, using GPS, the cops can quickly determine where the communication originated. One more advances of this modern technology were for an uncertain situation many of vehicles that have center locking system, Due this technology people faces many problem due to automatic locking system. There is no option to open the lock in the case; our work will provide a suitable solution for this so it is useful for implementing this project in useful way to reduce the human death ratio by accidents.
Measurement of Particulate Matter: Principles and Options of Measurement at Present
Authors: Kirešová Simona , Guzan Milan 
Published: December 2023

Abstract
This paper serves as an overview of the research on particulate matter. This includes the sources of particulate matter, the composition of particles and, most importantly, negative impact on human health. The paper also deals with the methods, and instruments of measurement of particulate matter. Future development of measuring particulate matter is proposed, such as implementing Internet of Things and wireless sensor network technologies as well as performing the analysis of the measured data to find how other measured quantities affect the concentration of particulate matter.
Analysis of Li-Ion Battery Cell Internal Impedance Changes Based on Temperature and Soh
Authors: Biľanský Juraj , Ivan Jozef , Bodnár Dávid , Lacko Milan 
Published: December 2023

Abstract
The paper is focused on the analysis of changes in the internal impedance of the selected battery cell. In addition, the paper describes basic information about these batteries, their advantages/disadvantages and possible uses. Battery data was obtained using our own testing device, which performed long-term cyclical tests on batteries to decrease SOH. Thanks to these tests, we obtained batteries with different SOH used for further measurement and evaluation. The internal impedance of selected batteries was measured with an accurate measuring device. Based on these measured data, the analysis described in this paper was created.
Modeling of Protection Relays and Renewable Energy Sources for Microgrid Systems
Authors: Štefko Róbert , Šárpataky Miloš , Šárpataky Ľuboš , Kohan Vladimír , Havran Peter , Kolcun Michal 
Published: December 2023

Abstract
Further research and development in the field of microgrids and related modelling and testing will be necessary for successful application in practice, which will require various model elements. It will be possible to create near-real test microgrids to help better understand the behaviour of such grids. For this reason, it is necessary to develop elements of independent parts that appear in distribution networks that will experience conversion to microgrids in the future. Therefore, this article will describe and propose models of basic protection relays, whose potential for application in microgrids is high. The article will additionally provide models of some power supplies that will be found in such reconstructed new grids.
Which Data Format To Store Scientific Data Should I Use? A Performance Analysis
Authors: Gecášek Daniel , Solanik Michal , Genči Ján 
Published: December 2023

Abstract
A lot of scientific work is dedicated to the analysis of data. Most of the analyzed data, like data from space missions, are structured. The choice of data format can affect various characteristics - read/write speed of standard files, read/write speed of small files and read/write speed of compressed data formats. In this paper, we analyze binary data formats, proposed types of the tests and testing methods, and compare their performance with human-readable text format. We also discuss compressed and uncompressed modes available for data formats like HDF5 and netCDF. When disregarding precision, the best data format from the size perspective is lossy HDF5 without compression. Losless HDF5 without compression show the best speed performance. Lossy HDF5 without compression is the best balance between size reduction and speed. However, for specific criteria and types of files, there might be better candidates as detailed in the conclusion.
Review of Recent Trends in the Detection of Hate Speech and Offensive Language on Social Media
Authors: Sokolová Zuzana , Staš Ján , Juhár Jozef 
Published: December 2023

Abstract
In the article, we describe recent trends in the detection of hate speech and offensive language on social media. We accord from the latest studies and scientific contributions. The article describes current trends and the most used methods in connection with the detection of hate speech and offensive language. At the same time, we focus on the importance of emoticons, hashtags, and swearing in the field of social networks. We point out the topicality of the selected topic, describe the next direction of our work, and suggest possible solutions to current problems in this field of research.
Principles of Synthesizing Medical Datasets
Authors: Kolárik Michal , Gojdičová Lucia , Paralič Ján 
Published: December 2023

Abstract
Data in many application domains provide a valuable source for analysis and data-driven decision support. On the other hand, legislative restrictions are provided, especially on personal data and patients’ data in the medical domain. In order to maximize the use of data for decision purposes and comply with legislation, sensitive data needs to be properly anonymized or synthetized. This article contributes to the area of medical records synthesis. We first introduce this topic and present it in a broader context, as well as in terms of methods used and metrics for their evaluation. Based on the related work analysis, we selected CTGAN neural network model for data synthesis and experimentally validated it on three different medical datasets. The results were evaluated both quantitatively by means of selected metrics as well as qualitatively by means of proper visualization techniques. The results showed that in most cases, the synthesized dataset is a very good approximation of the original one, with similar prediction performance.
Advanced Prototype of Manus Diagnostics and Rehabilitation Device
Authors: Husár Stanislav , Bundzel Marek , Hliboký Maroš , Kardoš Slavomír , Ferenčík Norbert 
Published: December 2023

AbstractHand fine motor functions may be impaired by various conditions, from injury to neurodegenerative diseases. Previously, we developed a prototype called Rehapiano that used load cells to measure the force exerted by the individual fingers. Rehapiano could distinguish between Parkinson’s patients and healthy individuals by analysing the finger tremors. Based on the experiences with the prototype and consultations with experts, we developed a more advanced prototype, Rehabimano. We show here how we improved the ergonomics and electronics. In addition, we have performed experimental validation of the device and confirmed its ability to detect and measure frequencies of tremors. These results are a stepping stone for consecutive software development and pre-clinical trials.
What makes higher education contribute to high-quality economic development - a synergy effect analysis based on scale, structure and quality elements
Authors: Fu Hua’an , Gao Yang 
Published: December 2023

Abstract
This paper explores how the synergistic effect of scale, structure and quality of Certain components can encourage postsecondary education for superior economic growth. Firstly, this study illustrates the synergistic effect of scale, structure, and quality factors in higher education by exploring the theoretical mechanisms of these elements in higher education to promote good economic development. Second, the conventional TOPSIS method is refined, and the entropy power-TO PSIS model is constructed by combining the entropy power method with the regression model built on the theoretical mechanism of the previous paper, and the empirical design is executed. The measurement of high-quality development of higher education and the economy is made possible by this. After building and finishing the evaluation index system for higher education and high economic, high-quality development, the development measurement is examined at the end. Based on the regression results, Analysis is done on the mediation and threshold effects of higher education for the establishment of high-quality economic growth, and pertinent policy recommendations are made. The scale structure and quality criteria of higher education are 40.1,303.1,9.9, and 60.2, respectively. The growth levels of the east, central, and west are 0.27,0.24, and 0.24, respectively, as is the proportion of the mediating influence to the total effect of 0.32 and 0.51. Through the factors of scale, structure, and educational quality, higher education works in concert to optimize technology and industry and, in turn, to foster the excellent growth of the economy.
The Integration of Instrumental Elements and Vocal Music Teaching in Colleges and Universities Based on the Core Literacy View of Music
Authors: Du Juan 
Published: December 2023

Abstract
In this paper, Fourier transforms in big data technology is used to realize the data preprocessing process of vocal signals from analog signals to digital signals and to explore the identification law of various music styles in vocal teaching in colleges and universities. According to the application of a convolutional neural network in vocal music teaching, the evaluation model of vocal music teaching based on a convolutional neural network is constructed by utilizing a convolutional neural network with accurate sensitivity and high-speed eigenvalue training speed. Starting from the design of relevant variables and the selection of evaluation tools, the experimental study of emotional therapy for the integration of percussion instruments and vocal music teaching is designed, and statistical analysis and simulation analysis are used to analyze the integration of musical instruments and vocal music teaching in the context of music core literacy. The results show that the evaluation error of the recurrent neural network method is 10.07%, while the minimum value is 0.24%. The maximum evaluation error of the convolutional neural network method is 8.22%, and the minimum evaluation error is 0.22%. The evaluation results of the quality of the integrated teaching of percussion instruments and vocal music of the model in this paper are better than the evaluation method of recurrent neural networks. During the maintenance period, when subject three was given weekly emotional therapy for teaching percussion instruments and vocal fusion, it was found that the subject’s emotional behavioral problems also completely subsided. This study realizes that the elimination of negative emotions in the teaching of musical instrument elements and college vocal music has a facilitating effect on the formation of students’ core musical literacy perspective.
Exploratory Analysis of Securities and Contractors’ All Risk Insurance Implementation in the Construction Industry of Zambia
Authors: Ngoy Kabemba S. , N’Gandu Vennah Beene , Mwanaumo Erastus 
Published: December 2023

Abstract
The risks associated with construction can be transferred to insurance. However, in the Zambian construction industry (ZCI), knowledge and use of insurance covers (performance security, advance payment, and contractor’s all risk insurance) have not been previously fully elucidated. The study was designed to cover this knowledge gap among professionals in government and private sector construction institutions, as well as insurance and financial institutions. Analysed data were approached quantitatively. Based on responses collected from 68 participants purposively sampled using a structured questionnaire as instrument, results were discussed and conclusion drawn. Private sector personnel headed the number of respondents and were more likely to have had five or more years of work experience than those of the Government of the Republic of Zambia (GRZ) institutions (86 % vs 36 %, p = 0.001). Approximately 88 % of the participants both in the public 33 % and private 67 % sector had knowledge about securities and contractors’ all risk insurance. There was variation in the use of different securities and contractors’ all risk insurance, with the lowest uptake being for retention bonds. Personnel from public institutions were more likely to have used CAR-insurance security in one or more projects than those from the private sector (100 % vs 47 %, p = 0.009). Participants also reported that they had valid securities and had successful implementation of securities with a variable level of compliance among different stakeholders. Finally, approximately half of the participants had effective systems for monitoring performance of securities, and a majority of the systems were said to be effective. Education of key players in risk management, formulation and enforcement of laws are necessary to ensure effective risk management practices.
The human capital of firms and the formal training of workers
Authors: Islam Asif M. , Gatti Roberta 
Published: December 2023

Abstract
The benefits of formal training are numerous, and yet in many regions few firms utilize them. In this study, we build on the literature by exploring how two forms of human capital–the quality of management practices and the proportion of university educated employees - influence the adoption of formal training. Using both cross-sectional and panel firm-level data for 29 economies in Eastern Europe and Central Asia (ECA) and 6 Middle East and North Africa (MENA) economies, management practices of the firm are found to be positively correlated with the implementation of formal training in ECA but not in MENA. The proportion of university educated workers is positively correlated with formal training in both ECA and MENA, but the finding is more robust for the latter. The study explores potential explanations why management practices have no influence on formal training in MENA and related policy implications.
One Mind, Many Languages: Czech as an Additional Language in Plurilingual Repertoires
Authors: Převrátilová Silvie 
Published: December 2023

Abstract
Plurilingualism goes beyond the mere ability to use multiple languages; it emphasizes the interconnected nature of languages within an individual's linguistic competence. In line with the European language policy, university students are becoming users of several languages, and international university students in Czech universities often learn Czech as their fourth language or beyond (L4+). Understanding how their linguistic competencies interact can impact their language acquisition experience. Learners may perceive interactions among the languages within their linguistic repertoire. The concept of Perceived Positive Language Interaction (PPLI, Thompson, 2016) pertains to the perception that languages previously studied are interrelated in a positive way, ultimately enhancing a plurilingual's ability to acquire additional languages. This study explores the relationships between Czech as an additional language and the learners' prior languages. The research aims to answer three main questions: Do learners of Czech as L4+ perceive positive interactions among their learned languages? In what areas do these interactions manifest? How does Czech relate to their other languages? The study was conducted at a Czech university that provides optional introductory Czech courses (A1/A2), primarily to students in the Erasmus+ program. Fifty-four international students filled in an open-ended online questionnaire over two consecutive semesters. The analysis revealed that while students perceived positive interactions among some of the languages they had learned, especially within language families, interactions across typologically different languages occurred, particularly between Czech and German. The participants' mother tongue also emerged as a significant factor. While language instruction often follows a monolingual approach, where the target language is the primary mode of classroom interaction (Woll, 2020), learners may significantly benefit from their previous language learning experiences when learning an additional language. Despite the relatively limited research sample, this study suggests the didactic potential of positive language interaction in language teaching and learning and highlights further research opportunities.
Artificial Intelligence in Language Education: A Bibliometric Analysis
Authors: Jaleniauskienė Evelina , Lisaitė Donata , Daniusevičiūtė-Brazaitė Laura 
Published: December 2023

Abstract
Artificial Intelligence (AI) occupies a transforming role in education, including language teaching and learning. Using bibliometric analysis, this study aims to overview the most recent research related to the use of AI in language education. Specifically, it reviews the existing body of research, productivity in this field in terms of authors and countries, co-authorship, most cited references and most popular journals that publish on this topic. Furthermore, the study also analyses the most common keywords and extracts relevant terms that reveal trending topics. For the period between 2018 and 2022, 2,609 documents were retrieved from the Web of Science database. The results showed that each year a consistent number of publications on the application of AI in language education appears. Scholars from China and the USA have been revealed to be most productive. Computer Assisted Language Learning contains the highest number of publications. Within the research on the use of AI in language education, the most targeted language-learning aspects were acquisition, motivation, performance, vocabulary, instruction, feedback, and impact. The analysis of the most common keywords related to AI-based solutions showed that mobile-assisted language learning, virtual reality, augmented reality, elements of gamification, games, social robots, machine translation, intelligent tutoring systems, chatbots, machine learning, neural networks, automatic speech recognition, big data, and deep learning were most popular.
Lip Synchrony of Bilabial Consonants in the Lithuanian Dubbed Live-Action Filma Dog's Way Home
Authors: Koverienė Indrė 
Published: December 2023

AbstractThis article explores the intricate nature of lip synchrony in dubbing as an audiovisual translation mode, highlighting its significance beyond aesthetic considerations. Often overlooked during the translation process for dubbing, the mismatch between auditory and visual signals caused by unsynchronized lip movements can have a negative impact on speech perception. Moreover, with the constant rise of audiovisual content, achieving satisfactory lip synchrony remains a crucial challenge that demands attention. Although scholars such as Fodor (1976) and Chaume (2012) have recognized the importance of bilabial consonants in maintaining lip synchrony, there is a notable research gap specifically focusing on this aspect within the Lithuanian dubbed industry. To address this gap, this study investigates the lip synchrony of bilabial consonants in the Lithuanian dubbed version of the live-action filmA Dog's Way Home(2019). By employing a comparative research approach that integrates qualitative and quantitative analyses, the study draws on theoretical perspectives presented by McGurk and MacDonald (1976), Fodor (1976), Chaume (2004, 2012), and Koverienė (2015). The analysis of the cinematographic shots reveals that only a small percentage (19%) of the bilabial phonemes in the source language utterances were visually prominent instances, and consequently chosen for detailed examination of lip synchrony. This finding suggests that strict adherence to lip synchrony may not be crucial in numerous instances, allowing translators to have greater flexibility in their approach. The target language utterances demonstrate a relatively high percentage (approximately 76%) of synchronous cases for bilabials, particularly in proper names and international words. However, the research also reveals additional 94 instances of bilabials in the target language that were not found in the source language utterances, leading to dischronemes. Therefore, audiovisual translators are urged to consider not only how to maintain the lip synchrony of bilabial consonants in the target language, but also how to avoid the emergence of new bilabials.