bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation (Preprint)
Authors: Kulangareth Nikhil Valsan , Kaufman Jaycee , Oreskovic Jessica , Fossat Yan
Published: January 2024

BACKGROUND

The digital era has witnessed an escalating dependence on digital platforms for news and information, coupled with the advent of “deepfake” technology. Deepfakes, leveraging deep learning models on extensive data sets of voice recordings and images, pose substantial threats to media authenticity, potentially leading to unethical misuse such as impersonation and the dissemination of false information.

OBJECTIVE

To counteract this challenge, this study aims to introduce the concept of innate biological processes to discern between authentic human voices and cloned voices. We propose that the presence or absence of certain perceptual features, such as pauses in speech, can effectively distinguish between cloned and authentic audio.

METHODS

A total of 49 adult participants representing diverse ethnic backgrounds and accents were recruited. Each participant contributed voice samples for the training of up to 3 distinct voice cloning text-to-speech models and 3 control paragraphs. Subsequently, the cloning models generated synthetic versions of the control paragraphs, resulting in a data set consisting of up to 9 cloned audio samples and 3 control samples per participant. We analyzed the speech pauses caused by biological actions such as respiration, swallowing, and cognitive processes. Five audio features corresponding to speech pause profiles were calculated. Differences between authentic and cloned audio for these features were assessed, and 5 classical machine learning algorithms were implemented using these features to create a prediction model. The generalization capability of the optimal model was evaluated through testing on unseen data, incorporating a model-naive generator, a model-naive paragraph, and model-naive participants.

RESULTS

Cloned audio exhibited significantly increased time between pauses (P<.001), decreased variation in speech segment length (P=.003), increased overall proportion of time speaking (P=.04), and decreased rates of micro- and macropauses in speech (both P=.01). Five machine learning models were implemented using these features, with the AdaBoost model demonstrating the highest performance, achieving a 5-fold cross-validation balanced accuracy of 0.81 (SD 0.05). Other models included support vector machine (balanced accuracy 0.79, SD 0.03), random forest (balanced accuracy 0.78, SD 0.04), logistic regression, and decision tree (balanced accuracies 0.76, SD 0.10 and 0.72, SD 0.06). When evaluating the optimal AdaBoost model, it achieved an overall test accuracy of 0.79 when predicting unseen data.

CONCLUSIONS

The incorporation of perceptual, biological features into machine learning models demonstrates promising results in distinguishing between authentic human voices and cloned audio.
3Ps for ChatGPT: Best Practices for Generative AI Discharge Instructions (Preprint)
Authors: Kreisman Alexander , Matonis Danielle , Wray Alisa , Toohey Shannon , Wiechmann Warren
Published: January 2024

UNSTRUCTURED

Patients may leave the emergency room unsatisfied since so much of their care occurs away from their view. Additionally, generic discharge instructions further contribute to this dissatisfaction, lacking detail on the care provided and specific home guidance and precautions. The patients, their families, or care teams may then be left with lingering questions and potential adverse outcomes due to misinterpretation. Research has shown a positive correlation between patient satisfaction and their assessment of the quality of discharge instructions, but providers in a fast-paced emergency room are limited by time. The expansion and availability of AI technologies in recent years offer a potential solution. This article details a multi-step approach to interact with AI-powered language learning models, specifically ChatGPT3.5, to compose targeted, specific, and clear discharge instructions. We propose that strategic implementation of these technologies can improve both efficiency and promote patient-centered care.
Unveiling Male Infertility Research Hotspots: Leveraging ChatGPT's Information Enhancement for Clinical Translation (Preprint)
Authors: Zhang yingbo , Lu Junyu , Wang Jiao , Wu Rongrong , Liu Xingyun , He Mengqiao , Zong Hui , Zhan Chaoying , Zhang Yuxin , Huang Jiang , Shen Bairong
Published: January 2024

BACKGROUND

Infertility is a significant negative factor affecting societal population growth and economic stability, with male infertility being a major cause of infertility. In recent years, with the development and advancement of next-generation sequencing technologies and high-resolution mass spectrometry, the volume of male infertility-related literature in scientific databases such as Scopus and PubMed has rapidly increased, and its topics have undergone complex changes over the past 50 years. Additionally, the advent of large language models (like ChatGPT) has provided new tools for enhancing traditional literature analysis and topic modeling.

OBJECTIVE

This research study aims to explore the potential of large language models, such as ChatGPT, in decision support systems for the clinical translation of male infertility research.

METHODS

Various methods, including bibliometrics, topic modeling, and ChatGPT's question-answer approach, were employed to compare male infertility hotspots between real-world and virtual-world data. Additionally, the study investigated ChatGPT's ability to enhance information in summarizing male infertility hotspots.

RESULTS

Under the literature evidence of 14,478 male infertility-related papers (12,534 research papers and 1,944 review papers), traditional bibliometric analyses such as annual analysis, country analysis, and high-impact author analysis show that countries like the United States, China, and Italy are major publishers in infertility research, with the United States being the leading technical influencer in male infertility research. Subsequently, results from topic modeling analysis have effectively mapped out the research themes in male infertility over the past 50 years, this analysis highlights key subjects such as 'the impact of gene expression on male infertility', 'the effect of age on sperm parameters', and 'pathogenic genes of male infertility', marking them as recent research hotspots. However, this method falls short in clearly presenting the latest hotspots in male infertility research. Lastly, the integration of ChatGPT information enhancement offers a new dimension in this research. This approach successfully presents the recent hotspots in male infertility, encompassing not only the impact of risk factors like 'Environmental Exposures', 'Genetics', 'Immunological Factors', 'Hormonal Imbalances' on sperm count and quality but also highlighting emerging areas such as 'Precision Medicine' and 'Artificial Intelligence (AI)' in male infertility research.

CONCLUSIONS

Therefore, combining real-world literature evidence with the capabilities of ChatGPT is crucial for understanding and mapping future trends in this field.

CLINICALTRIAL

Trial Registration: Not applicable
Human-Centered AI: Large Language Models and the Need for Ethical Medical Chatbots (Preprint)
Authors: Chow James , Li Kay
Published: January 2024

BACKGROUND

The evolution of medical chatbots underscores the pressing need for human-centered AI to address patient and family concerns more personally and precisely. This paper explores the potential ways to do so, through tracing the historical development of artificial intelligence (AI), charting the progression from neural networks to the prevalent use of Large Language Models (LLMs) like GPT-3 and 4 within the realm of human-centered AI.

OBJECTIVE

This review critically examines the pivotal role of LLM-based medical chatbots in fostering ethical and humanistic AI in the construction of medical chatbots. Specifically, it investigates the transition from explicit algorithms to the contemporary landscape in which LLMs emulate human speech, language, and behavior.

METHODS

Beginning with examining the elements of human-centred AI, pathways to build medical chatbots ethically were identified. The loopholes for potential bias in LLMs were highlighted, such as their reliance on extensive datasets and neural networks, which have revolutionized programming methodologies, whereas bias in the datasets also may result in bias in the medical chatbot’s responses. The training methodology employed in developing ChatGPT was also reviewed, finding potential bias because of the bias in the massive training data.

RESULTS

The study's findings centered on the potential ways to design medical chatbots with human-centered AI. It delves not only into how LLMs, particularly in their proficiency in understanding and generating human language, can significantly shape the future of AI, but also how inherent bias in the training of the LLMs may result in chatbots not for everybody. The focus extends to broader implications for AI and computer science, shedding light on transformative opportunities and ethical challenges inherent in the application of LLMs.

CONCLUSIONS

This review highlights the transformative potential of LLMs in shaping the next generation of medical chatbots. It underscores the imperative of infusing human-centric values and ethical considerations into AI systems, aligning with the overarching goal of creating human-centered AI. The insights presented include considerations for mitigating bias in ChatGPT and reflections on the future trajectory of LLMs, emphasizing practical applications in the development and enhancement of ethical medical chatbots.

CLINICALTRIAL

NA
La migración rural-urbana como factor de cambio en la composición y manejo de solares mayas
Authors: Morales Rodríguez José Roberto , Aguilar Cordero Wilian de Jesús , Salazar Gómez Varela Carmen , García Gil José Gerardo
Published: January 2024

El objetivo del estudio fue determinar si la migración modifica el manejo y la composición de la  agrobiodiversidad en los solares, espacios donde la riqueza de especies asegura la provisión de bienes. En Dzoyaxché, Yucatán, se aplicó una entrevista semiestructurada y se realizó el inventario de la agrobiodiversidad a solares sin migrantes (SSM) y con migrantes (SCM). Los SSM registraron mayor diversidad florística y de fauna de traspatio; mientras que en SCM se registró una redistribución de las responsabilidades de manejo. En conclusión, la migración rural-urbana en Dzoyaxché es un factor que determina la agrobiodiversidad.
Transparencia, seguridad, empleo y participación electoral: su impacto en la recaudación municipal, Jalisco, México (2016-2018)
Authors: Alcantar López Cristian Omar
Published: January 2024

Este artículo mide el impacto de la transparencia de información, seguridad de los habitantes, empleo municipal y participación electoral de los ciudadanos (variables independientes) en la recaudación municipal (variable dependiente). Esto deriva en la siguiente pregunta: ¿cuál es el impacto de la transparencia, seguridad de los habitantes, empleo municipal y participación electoral de los ciudadanos en la recaudación de los municipios de Jalisco con más de 5000 habitantes? La metodología fue de corte  cuantitativa, mediante la aplicación del método de mínimos cuadrados ordinarios. Los resultados obtenidos indican que transparencia y seguridad inciden de manera positiva.
Renewal Concept of Sustainable Tourism Development in Indonesia: Comparative Study of Local Government of Batu City and Probolinggo Regency
Authors: Hardianto Willy Tri , Rusmiwari Sugeng , Firdausi Firman
Published: January 2024

Development planning and tourism are an inseparable part of the integrated development unity in Indonesia. SDGs demands for sustainable development are a challenge in themselves. Development in Indonesia has an integrated planning system from central to regional government and from region to center. Integrating the SDG's focus as a mandatory aspect of sustainable development, tourism is included as one of the development items. This research uses qualitative methods by comparing the two regions. The concept of sustainable tourism development, namely Pro-Economic Prosperity, Pro-Environmental Sustainability, Pro-Social Justice and Pro-Environment, has not fully answered new problems such as capacity which results in a saturation point in development and change. in leadership in a democratic system for 5 years, and unforeseen circumstances such as natural disasters. Tourism development has been discussed a lot, and some things refer to new variables. This research aims is to find a new concept of sustainable development. Informants from this research used purposive sampling with the informant being the Head of Research and Development at BAPPEDA and the Head of the Tourism Development Section at the Tourism Office in two different regions, namely Batu City and Probolinggo Regency. Primary data uses interview results and secondary data uses official documents from regional organizations. This research produces three new variables in Sustainable Development, namely political sustainability, disaster preparedness, and visitor capacity as aspects that need further consideration. This variable is a new concept in the development of Public Administration Science, especially in the field of Sustainable Development.
Strengths and Interests Between Actors in Collaborative Governance: Review of the Riverside Settlement Revitalization Policy in Banjarmasin City
Authors: Noor Muhammad , Suaedi Falih , Mardiyanta Antun
Published: January 2024

This study aims to analyze and identify the strengths and interests of state actors and non-state actors in the revitalization of residents’ houses in the riverside area of Banjarmasin City from the perspective of Collaborative Governance. This study used a qualitative approach by collecting data through observation, in-depth analysis, and document analysis. The findings of this study explain that collaborative governance is an alternative to public policy as an interactive process involving state and non-state actors autonomously who use shared rules and norms carried out collectively to solve societal problems. Collaboration involving actors in power with interests in decision-making might fail during its implementation. This research contributes to the scientific literature on interactions between actors and collaborative governance because the problems faced by the public are fought for, and collaborative governance implementation cannot be separated from the presence of actors involved in advocating for issues of public concern.
Research on the Application of Blockchain in SMEs Credit Risk
Authors: Zheng Yi-min , Xu Feng , Zhang Yi-min , Wang Jie
Published: January 2024

The credit of an enterprise is related to its own development. This paper mainly discusses the relationship between the credit risk of small and medium enterprises (SMEs) and the application degree of blockchain. 64 listed companies with block chain technology as the core theme are selected to analyze their comprehensive financial data. Factor analysis is used to quantitatively evaluate the application degree of blockchain in SMEs, and then the Logistic model is used to evaluate the credit risk of SMEs. Finally, combining the application degree of blockchain in small and medium-sized enterprises and the credit risk assessment of these two groups of data. It confirms the conclusion that the higher the degree of blockchain application, the closer the supply chain finance relationship, and the better the credit status.
THE INFLUENCE OF THE APOEε4 ALLELE ON PRO-INFLAMMATORY CYTOKINE LEVELS IN THE CEREBROSPINAL FLUID OF PATIENTS WITH ALZHEIMER’S DISEASE
Authors: Bašić Jelena , Milošević Vuk , Đorđević Branka , Stefanović Nikola , Stojiljković Vladana , Jevtović Stoimenov Tatjana , Stojanović Ivana
Published: January 2024

Single nucleotide polymorphisms (SNPs) rs429358 and rs7412, the most commonly investigated variants in the apolipoprotein E gene (APOE) are crucial for APOEε4 carrier status determination. However, their association with inflammatory cytokine levels in patients with dementia due to Alzheimer’s disease (AD) remains unclear. This study aimed to investigate the influence of the APOEε4 allele on pro-inflammatory cytokine levels in the cerebrospinal fluid of patients with AD dementia. The research was conducted on 36 patients with probable dementia due to AD. APOE rs429358 and rs7412 were analyzed using the Real-Time PCR method with allele-specific TaqMan assays, followed by the analysis of APOEε4 allele carrier status. Patients carrying at least one APOEε4 allele were assigned as APOEε4+. Core biomarkers (Aβ42/40 ratio, t-Tau, p-Tau levels), as well as pro-inflammatory cytokine (Tumor necrosis factor-a (TNF-a) and interleukin-1b (IL-1b)) levels, were determined in the patient’s cerebrospinal fluid (CSF) using Enzyme-linked Immunosorbent Assay (ELISA). Seventeen patients (47.22%) were assigned as APOEε4+. CSF TNF-α levels were significantly higher in APOEε4+ AD dementia patients in comparison to APOEε4- patients (p<0.001), while no significant differences in IL-1b levels between these two groups were obtained. Correlation analysis showed that TNF-α negatively correlated with the Aβ42/40 ratio (p=0.033), while positive correlation with t-Tau and p-Tau was observed (p=0.001, p=0.015, respectively). These findings highlight the potential significance of TNF-α in the context of APOEε4 positivity and its implications in AD pathology.
TRATAMENTO FOTOCATALÍTICO DE FÁRMACOS UTILIZANDO TIO2: UMA ANÁLISE SISTÊMICA DOS MECANISMOS DE DEGRADAÇÃO, REUSABILIDADE E VIABILIDADE DO PROCESSO EM ESCALA REAL
Authors: Nascimento Raqueline Caldas do , Rocha Elisângela Maria Rodrigues , Lucena Larissa Granjeiro , Cahino Arthur Marinho
Published: January 2024

A contaminação das águas por compostos farmacêuticos em matrizes aquáticas é um problema recorrente em nossa sociedade. Um dos tratamentos mais conhecidos e utilizados para enfrentar essa questão é a fotocatálise heterogênea, capaz de destruir e mineralizar diversos contaminantes orgânicos. Por isso, o objetivo desta pesquisa foi realizar uma investigação das produções científicas acerca da fotocatálise heterogênea aplicada ao tratamento de contaminantes fármacos.  Para tanto, utilizou-se o método da revisão sistemática em conjunto com uma análise sistêmica de um portfólio bibliográfico final (PBF) elaborado por meio do método construtivista PROKNOW-C. Dos 3.498 artigos selecionados, 33 foram escolhidos para comporem o PBF. As publicações analisadas abordavam as classes dos antibióticos, anti-hipertensivos, analgésicos e anti-inflamatórios e utilizavam o TiO2 como catalisador de referência. Observou-se que a maioria das pesquisas se concentrou no aprimoramento da fotocatálise de TiO2 por modificação com dopagem de metais e heterojunções para a formação de novos compósitos. A principal espécie reativa identificada no processo foi o radical hidroxila (•OH), ainda que sejam utilizados diferentes semicondutores, uma vez que os mecanismos de degradação se repetem durante a reação e podem ser intensificados pelas condições experimentais empregadas. A reusabilidade do catalisador em número de ciclos ocorreu no máximo até 5 vezes sem que houvesse perda de eficiência, sendo quatro a quantidade de vezes que alguns catalisadores obtiveram maior desempenho após a sua reutilização. Quanto ao uso em escala real, compreende-se que existe uma lacuna sobre as análises de desempenho dos fotocatalisadores utilizados em condições mais adversas e complexas.
Sistemas de protección social para la resiliencia
Authors: Zamudio Santos Verhonica
Published: January 2024

En el contexto de cambio climático y crisis por desastres, la protección social está cobrando especial relevancia. Se considera que la protección social adaptativa puede contribuir a la resiliencia de las personas y sociedades. El fascículo tiene por objeto analizar la importancia de que los riesgos ambientales sean considerados riesgos sociales por parte de los sistemas de protección social, incluso por los regímenes contributivos, que tienen en su núcleo el derecho humano a la seguridad social para todas las personas, que favorezca garantizar la protección en todo momento, inclusive en situaciones de desastres.
Study of the Effect of Selective Laser Melting Parameters on the Structure and Physico-Mechanical Properties of a Blank Made of Stainless Chromium-Nickel Steel
Authors: Khlybov A.A. , Ryabov D.A. , Solovev A.A. , Shuyanova A.A. , Lukoyanov A.V.
Published: January 2024

Currently, there are a number of additive technologies that are used in various industries (laser fusion of powder materials, electron beam melting, etc.). The formation of metal structures and products by methods of additive technologies occurs by adding a new layer of material and its further melting (sintering), ensuring the adhesion of each subsequent layer with the previous one in accordance with digital model data. The advantages of using and developing additive technologies include the possibility of using a wide range of materials, obtaining finished products with complex geometries, restoring and repairing damaged structures, as well as the possibility of applying protective and anticorrosive coatings. Metal powder materials with specified physical and mechanical properties are of crucial importance in additive manufacturing. The main requirements for such powders include requirements for their shape and size. The preferred particle shape is spherical, as it provides a more compact installation in a given volume and the necessary fluidity of the material, which is due to the low resistance in the supply systems of powder materials in 3D printers. The aim of the work is to study the influence of the parameters of the SLM printing process on the structure and mechanical properties of products made of 12Cr18Ni10Ti alloy. Samples obtained by selective laser melting were subjected to pycnometric and metallographic analysis. Based on the obtained microstructure images, a digital porosity analysis of the work piece under study was performed in the Thixomet Pro software package. The microhardness and acoustic characteristics were also measured over the entire section of the work piece under study. It was revealed that with an increase in the distance from the substrate (0...112 mm) in the transverse and longitudinal sections, the tendency remains to decrease the density values and increase the volume fraction of pores. It is shown that the acoustic parameter Dc can be used to control changes in the physical and mechanical properties of stainless chromium-nickel steel blanks obtained by selective laser melting.
Integration of Technological Preparation of Production into Automated Design Systems
Authors: Vagapov T.R. , Murav'ev V.V.
Published: January 2024

The concept of the development of an integrated system for the design of technological processes for the manufacture of mechanical engineering products is considered. The research relates to the field of automation of technological preparation of production in the development of the technological process of manufacturing a product (part, assembly unit). An algorithm for automated analysis of a three-dimensional product model (CAD model) made by the KIT system (KIT-computer information technology) is proposed to identify and formalize significant product parameters. As a discrete element of the part, a structural element is considered as the basis for choosing the manufacturing technology of the product as a whole. The general functional structure of the system being developed is described, which is necessary for the formation of the product manufacturing route taking into account the production process data structured in the product database. The practical result of the system when introduced into production is a reduction in the cycle of technological preparation for the release of a new product. The system allows you to design route-operational TP for all technological conversions of the enterprise. It is possible to design technologies for a group of parts. There are no restrictions on the size of the TP. The volume of the Database of Technological Design (BDTP) to date is more than 7000 technological processes, including existing production and discontinued products. The number of jobs on the enterprise network for the system is more than 150, the degree of coverage of the technological design system in the main production is 100 %.
Analysis of the Manufacturability of the Design of the Crankshaft of the Plunger Pump NTP-175, Produced at PJSC “Izhneftemash”
Authors: Brik V.R. , Bukharin E.V. , Dolganov A.M. , Kugultinov S.D.
Published: January 2024

Currently, mining and processing of minerals plays an important role in the economy of the country. In conditions of creating artificial economic problems for the supply of high-quality equipment, there is a high demand for inexpensive plunger pumps with suitable output characteristics and a sufficiently high resource. High-pressure pumps, which create high productivity, are urgently needed in mining, chemical, processing and other industries. Domestic enterprises have long been producing this type of product in the required quantity in mass production. But even a well-established and mastered structure in production must be constantly improved to improve operational performance. In all areas of application of high-performance pumps, an increase in specific characteristics is required, and of course, everyone expects an increase in the life of this equipment. An important factor in the choice of such equipment by the operating organization is the price. Production costs consist not only of initial capital investments for the purchase of pumping equipment, but also the cost of operation and repairs. In the mining industry, transportation costs associated with long distances to remote mining sites and repair or operating bases account for most of the increase in production costs. In this case, the less obvious specific characteristics of power and performance in relation to weight and dimensions provide huge advantages when transporting such equipment to the place of operation. Thus, the improvement of such a product as a pumping unit should follow all the laws of the development of technical systems with an increase in specific characteristics, and finally, a reduction in cost, which can be obtained only by improving the manufacturability of this design in the conditions of existing production. Only by improving the design can an increase in technology and an increase in specific characteristics be achieved simultaneously. This study describes the stages of design testing for the manufacturability of one of the key elements of a plunger pump mass-produced at the PJSC “Izhneftemash”.
The Role of Should-Thinking on the Academic Procrastination Process of High Achievement Motivators
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Choi Jung Ah , Yang Ji-Yeon
Published: January 2024

Objectives This study identified five types of high achievement goal orientations based on the concept of “mastery/performance x approach/avoidance”, and explored the relative prevalence and the academic pro-crastination paths of each type.
Methods The participants were 1,493 in their teens and 20s. Structural equation modeling was conducted to identify whether high-achievement motivatiors experience academic procrastination due to academic difficulties and whether “should thinking” functions as a moderator in the path from academic difficulties to overwhelming feelings.
Results Only one profile of high achievement motivation type was identified, which had high scores on all four achievement goal orientation sub-scales. The moderating effect of “should thinking” in the path to academic pro-crastination was more significant for learners with high achievement motivation than general learners.
Conclusions This study provides theoretical implications for exploring psychological paths to academic pro-crastination and practical implications for interventions to support high achievement motivators who experience academic procrastination due to “should thinking”.
The Meaning of the ｢Rainbow Fish｣ Picture Book Series: Centering on the semiotics of Greimas and Barthes
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Da-Hee , Lee Jeong-Hwa
Published: January 2024

Objectives The purpose of this study is to find the message to be delivered to infants in the “Rainbow Fish” picture book series, understand the implications of the picture book, and use it as basic data in the educational field.
Methods The “Rainbow Fish” series examined the overall content and in-depth implications of early childhood picture books based on Greimas (1985)'s sequence analysis, binary confrontation analysis, behavioral analysis, and Barthes (1997)'s semiotic approach to myth theory.
Results The common feature of the sequence analysis contents of the “Rainbow Fish” series picture book is that it is a happy ending in which all conflicts and problems are resolved. However, there was a difference in the format of the plot. There were two types: a single-line format in which the story unfolds over time, and a circular format in which events in the story progress one after another over time and then return to square one. In the case of binary confrontation analysis, there was a common point that all the situations, emotions, and attitudes of rainbow fish were included, and the differences were confrontation between characters, confrontation between places, and change of mind of rainbow fish. The behavioral analysis of the “Rainbow Fish” series picture book shows that rainbow fish become the same person and main character in the role of the subject and receiver, and the differ-ence between the series is that the role of callers and opponents is different. In addition, depending on the devel-opment of the story, there are times when there are no characters who play the role of assistants, and sometimes the same character changes from the role of the antagonist to the role of assistants. Through the myth analysis of the “Rainbow Fish” series picture book, we were able to derive topics such as finding happiness, forming rela-tionships, empathizing, being interested, solving problems, accepting minds, positive interaction, and resolving conflicts.
Conclusions This study is significant in that it helps in-depth understanding and interpretation of the “Rainbow Fish” series picture books based on a semiotic approach, and effectively conveys the meaning and literature im-plied in picture books in the field of early childhood education so that they can be applied to the field of early child-hood education.
Differences in Autism Symptom Severity According to the Sex, Birth Weight, Gestational Age, and Type of Birth in Children with Autism Spectrum Disorder: A Retrospective Analysis
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Jeon Jae-Hyo , Choi Bum-Sung , Kim Ji-Hoon , Park Hyun-Woo
Published: January 2024

Objectives This study is diagnosed to find out differences in child's level of adaptive behavior and symptom se-verity according to gender, birth weight, gestational age, and type of birth.
Methods This study is a retrospective analysis of 71 children with autism spectrum disorder. K-Vineland-II and K-CARS2-ST tests were performed, and descriptive analysis of each variable, correlation analyses, and multiple regression analysis were performed.
Results In terms of gender differences, higher scores were found in girls only in the K-CARS2-ST test (p=0.004). No significant difference was found in the two tests in birth weight and type of birth. A weak negative correlation was found in the K-CARS2-ST test in the gestational age (r=-0.282, p=0.022).
Conclusions This study demonstrated that there was no statistically significant correlation between the factors determined at the moment a child is born and the level of adaptive behavior or the autism symptom severity that the child shows afterwards. This can be used as a basis for the argument that more attention and effort are needed for parenting, education, and treatment for the children with autism spectrum disorder.
A Study on the Effect of Integrative Early Intervention Therapy on Language Development in Children with Autism Spectrum Disorder
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Park Hyun-Woo , Choi Bum-Sung , Kim Ji-Hoon
Published: January 2024

Objectives The purpose of this study is to provide information on the therapeutic effect of integrated early inter-vention by comprehensively performing speech therapy, applied behavior analysis, and sensory integration ther-apy in children with autism spectrum disorder.
Methods 30 children treated for more than 6 months at the P University Hospital's Autism and developmental dis-order treatment center were evaluated at the mean monthly language growth rate after 6 months of integrated intervention.
Results At the start of treatment, the mean monthly growth rate of the receptive languages was 0.35 months (SD=.22, S.E. Mean=.04), and the mean monthly growth rate of the expressive languages was 0.33 months (SD=.20, S.E. Mean=.04), whereas the mean monthly growth rate of the receptive languages after 6 months’ treatment was 1.31 months (SD=1.61, S.E. Mean=.29), and the mean monthly growth rate of the expressive lan-guages was 1.13 months (SD=1.31, S.E. Mean=.24) and paired t-tests showed significant differences.
Conclusions This study is significant in that it established the evidence base for integrated early intervention ther-apy by confirming that integrated early intervention therapy is effective for children's language growth.
Effect of acculturation stress of multicultural mothers on social withdrawal of their multicultural adolescent children: The Double-Mediation Effects of parenting efficacy and parental monitoring
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Bao Jin Lu , Chang Young Eun
Published: January 2024

Objectives The purpose of this study is to determine the impact of multicultural mothers' acculturation stress on the social withdrawal of multicultural adolescent children in the first year of middle school, and to verify the double mediation effects of multicultural mothers' parenting efficacy and parental monitoring.
Methods The subjects of the study used the fourth data from the Multicultural Adolescents Panel Study(2014), which involved 1,301 multicultural adolescents and their multicultural mothers. Data analysis was performed us-ing the SPSS 26.0 program for frequency analysis, descriptive analysis, and Pearson correlation analysis. In addi-tion, Process Macro 4.0 and Model 6 developed by Hayes (2021) were used to test the research model and the double mediation effects.
Results First, multicultural mothers' acculturation stress had a statistically significant effect on their adolescent children's social withdrawal. Second, multicultural mothers' acculturation stress had a significant negative (-) ef-fect on parenting efficacy, and parenting efficacy had a significant positive (+) effect on parental monitoring. Third, parental monitoring had a significant negative effect on children's social withdrawal. Fourth, a significant double mediation effect of parenting efficacy and parental monitoring was confirmed in the impact of multicultural moth-ers' acculturation stress on their children's social withdrawal. In other words, the greater the acculturation stress of multicultural mothers, the lower their parenting efficacy, low parenting efficacy predicted low parental monitor-ing, and low parental monitoring in turn predicted high social withdrawal in children.
Conclusions It was confirmed that the higher the acculturation stress of multicultural mothers, the lower their pa-renting efficacy, and thus the lower the level of parental monitoring, which has a negative impact on the social withdrawal of adolescent children. To help the development of multicultural families and promote the healthy growth of multicultural adolescents, specific action plans were presented to reduce the acculturation stress of multicultural mothers and prevent and reduce the social withdrawal of multicultural adolescent children.
Professor’s Perception on the Functional Indicators of Learning Management System(LMS) to Support Data-Based Adaptive Learning: Focusing on Local S University
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Park Youngsun
Published: January 2024

Objectives The purposes of this study were to find out the professor's perception of the functional indicators of the Learning Management System (LMS) that supports data-based adaptive learningspecify variables related to convergence competency, and to analyze the structural relationships among them. The purposes of this study were to specify variables related to convergence competency, and to analyze the structural relationships among them.
Methods Based on literature analysis, the functions of LMS required for adaptive learning were divided into re-porting (dashboard), diagnosis (evaluation and classification), prediction (recommendation), and individualization (non-curricular) areas, and a 34-question questionnaire was created through an expert meeting to ask for func-tional indicators for each area. Next, a Delphi survey was conducted on nine professors at S University, a four-year university in Region B, and a content validity (CVI) analysis was conducted with the data collected through it.
Results As a result of examining the professor's perception of LMS's functional indicators for each area that sup-port data-based adaptive learning, all of the proposed functional indicators except for some functions in each area satisfied content validity.
Conclusions The LMS can be utilized to support data-based adaptive learning, and for this, the function of LMS needs to be advanced.
Exploring the Perception of Pre-service Teachers on the Role of Teachers in the AI Era
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Lee Hye-Jeung
Published: January 2024

Objectives The purposes of this study is to analyze the view of pre-service teachers’ about teacher’s role in the AI era.
Methods For this, reflective writing was used for 101 pre-service teachers who were enrolled university located in D metropolitan.
Results Pre-service teachers predicated that AI’s influence on school education would increase in the future society. As a result, they concerned about excessive dependence on AI, fairness in evaluation and individualism while there were positive aspect of individualized education for learners, reducing teachers’ work and reducing the academic gap between students. Pre-service teachers recognized that teachers were who guide students to the human life by understanding and empathizing for them with a sense of duty in education and that AI could never replace them. They thought that teachers in future society should play the role of class planners, AI administrators, sympathetic leaders, guides to community life, and persons who develop critical thinking skills of students.
Conclusions Frist, Pre-service teachers positively recognize the need for school change due to social change and show their’s subjective appearance as subjects for school change. Second, focusing on the ambivalence of AI in-fluence on education, they define the role of teacher in terms of ethics aspect, focusing on humanity. Third, it can be seen that pre-service teachers have a self-reflection aspect, in that they define the identity of teachers through understanding and empathy of the relationship between teachers and students. Forth, Pre-service teachers suggest what the educational direction schools should be by defining the desirable human life is com-munity life.
“That’s Me as an English Teacher”: Using Metaphor Drawings to Assist Secondary English Teachers to Explore their Identities
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Yin Judy
Published: January 2024

Objectives The purpose of this study was to explore Korean Secondary English teachers’ professional identities by using metaphor drawings.
Methods A total of 15 secondary English teachers participated in this study and their metaphoric drawings at the beginning and the end of the course were collected as data. Furthermore, their reflective presentations and inter-view excerpts were transcribed for data analysis using a qualitative approach.
Results The results showed that exploring their identities using metaphors allowed them to reflect on a wide range of issues such as their teaching practices, relationship with students, and burdening factors. They were also able to address issues that were unclear prior to the course by means of depicting their identities using metaphors and sharing them with others.
Conclusions The findings of the study are in line with other studies that regard metaphors as an effective cognitive tool in shedding light on the teachers’ identities. The analysis of their metaphors also showed that they were able to reflect on how knowledge and experience gained from the teacher program have impacted their thoughts and beliefs.
Domestic Research Trends on Early Childhood Teacher Calling
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Park BongHwan
Published: January 2024

Objectives The purpose of this study was to identify the research trends related to calling in early childhood teacher and to present basic data for follow-up research to related calling in early childhood teacher.
Methods For this purpose, we selected 35 papers published in academic journals from 2014 to the end of July 2023 with early childhood teacher and calling as the keywords. For data analysis, the data were classified by pub-lication year, research method, academic field, academic organization, and related variables. The trends of calling were then analyzed using analysis methods such as the frequency analysis, cross analysisof the collected data.
Results The results of this study are as follows. First, Research on early childhood teacher calling first began in 2014 and increased rapidly from 2018. Second, As for research methods, The research method was predom-inantly quantitative research. Third, The academic field with the most papers published was social science. The largest number of papers were published in Korean Association for Learner-centered Curriculum and Instruction, published by The Journal of Learner-Centered Curriculum and Instruction. Fourth, Trends in calling-related varia-bles included many variables related to Grit, burnout, teacher efficacy, positive psychological capital, self-effi-cacy, resilience. Career and employment factor variables were analyzed, including major satisfaction, career deci-sion-making, and career stress, Work and organizational factor variables were classified into turnover intention, organizational commitment, and job satisfaction.
Conclusions Based on these results, Suggestions were made for the development and operation of on-the-job training and re-education programs to form a sense of calling and enhance practical capabilities, which are im-portant qualities in the teaching process of early childhood teachers.
Analysis of Extra-curricular Program Status and Performance for Development of Extra-curricular Roadmaps by Core Competency: A Case Study of H University
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Cha Jeong-Min
Published: January 2024

Objectives This study was conducted with the aim of providing fundamental data to support the development of a extra-curricular roadmap for the six core competencies at H University.
Methods As part of the research project, an analysis of extra-curricular program operations over the past two years was conducted, including an analysis of extra-curricular program operation status by type of activity and an analysis of extra-curricular achievements by core competency. Firstly, a comprehensive analysis was performed, including a student perception survey, to assess the operational status by domain based on the types of activities in extra-curricular programs. Secondly, for the analysis of extra-curricular achievements by core competency, paired samples t-tests (pre-post) and independent samples t-tests (participation group, Extra-participation group) were conducted for each core competency program using the statistical software SPSS version 26.
Results First, in extra-curricular activities, the operation rate of special lectures/workshops was significantly high, and it was also found that these were the types of activities in which students most wanted to participate. On the other hand, while the extra-curricular operation rate in the “understanding” domain was high, students' most de-sired activity phase was found to be in the “competency development” domain programs. Second, regarding the Extra-curricular operational outcomes by core competency, it was statistically significant that students demon-strated improved competencies in knowledge and information cultivation programs, humanities competency cul-tivation programs, communication competency cultivation programs, and leadership competency cultivation programs.
Conclusions Drawing on the findings of this study, foundational evidence has been generated for the establish-ment of a core competency-specific extra-curricular roadmap for enrolled students. Concurrently, deliberations were conducted concerning prospective development avenues in response to H University's Extra-curricular ed-ucation curriculum operation status and performance outcomes.
A content analysis of nursing students' experiences with positive psychology-based complementary and alternative programs
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Jang Hyun-Jung , PARK Hyangjin
Published: January 2024

Objectives The purpose of this study is to explore the experiences of senior nursing students with positive psy-chology-based complementary and alternative programs.
Methods The study participants consisted of 14 senior nursing students from a university located in C City who had participated in a positive psychology-based complementary and alternative program. These students volun-tarily agreed to participate in the research, demonstrating an understanding of the objectives of the positive psy-chology-based complementary and alternative program. Data was collected through focus group interviews, and the gathered information was analyzed using content analysis methods.
Results The analysis results indicate that senior nursing students' experiences with positive psychology-based complementary and alternative programs encompass five main themes: ‘self-understanding,’ ‘positive trans-formation,’ ‘achievement experiences,’ ‘program reevaluation,’ and ‘transformed life.’
Conclusions The positive psychology-based complementary and alternative program has been shown to be ef-fective in enhancing the physical and mental health of senior nursing students. Based on this, it suggests the need for the development and implementation of programs that will influence future physical and mental health promo-tion, as well as the development and application of education on complementary and alternative therapies.