bluuebunny/crossref_metadata_2025 huggingface dataset:
Rationale, Design, and Baseline Characteristics of Participants in the Health@NUS mHealth Augmented Cohort Study Examining Student-to-Work Life Transition: Protocol for a Prospective Cohort Study (Preprint)
Authors: Chua Xin Hui , Edney Sarah Martine , Müller Andre Matthias , Petrunoff Nicholas A , Whitton Clare , Tay Zoey , Goh Claire Marie Jie Lin , Chen Bozhi , Park Su Hyun , Rebello Salome A , Low Alicia , Chia Janelle , Koek Daphne , Cheong Karen , van Dam Rob M , Müller-Riemenschneider Falk
Published: February 2024

BACKGROUND

Integration of mobile health data collection methods into cohort studies enables the collection of intensive longitudinal information, which gives deeper insights into individuals’ health and lifestyle behavioral patterns over time, as compared to traditional cohort methods with less frequent data collection. These findings can then fill the gaps that remain in understanding how various lifestyle behaviors interact as students graduate from university and seek employment (student-to-work life transition), where the inability to adapt quickly to a changing environment greatly affects the mental well-being of young adults.

OBJECTIVE

This paper aims to provide an overview of the study methodology and baseline characteristics of participants in Health@NUS, a longitudinal study leveraging mobile health to examine the trajectories of health behaviors, physical health, and well-being, and their diverse determinants, for young adults during the student-to-work life transition.

METHODS

University students were recruited between August 2020 and June 2022 in Singapore. Participants would complete biometric assessments and questionnaires at 3 time points (baseline, 12-, and 24-month follow-up visits) and use a Fitbit smartwatch and smartphone app to continuously collect physical activity, sedentary behavior, sleep, and dietary data over the 2 years. Additionally, up to 12 two-week-long bursts of app-based ecological momentary surveys capturing lifestyle behaviors and well-being would be sent out among the 3 time points.

RESULTS

Interested participants (n=1556) were screened for eligibility, and 776 participants were enrolled in the study between August 2020 and June 2022. Participants were mostly female (441/776, 56.8%), of Chinese ethnicity (741/776, 92%), undergraduate students (759/776, 97.8%), and had a mean BMI of 21.9 (SD 3.3) kg/m2, and a mean age of 22.7 (SD 1.7) years. A substantial proportion were overweight (202/776, 26.1%) or obese (42/776, 5.4%), had indicated poor mental well-being (World Health Organization-5 Well-Being Index ≤50; 291/776, 37.7%), or were at higher risk for psychological distress (Kessler Psychological Distress Scale ≥13; 109/776, 14.1%).

CONCLUSIONS

The findings from this study will provide detailed insights into the determinants and trajectories of health behaviors, health, and well-being during the student-to-work life transition experienced by young adults.

CLINICALTRIAL

ClinicalTrials.gov NCT05154227; https://clinicaltrials.gov/study/NCT05154227

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/56749
Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach (Preprint)
Authors: Jeter Russell , Greenfield Raymond , Housley Stephen N , Belykh Igor
Published: February 2024

BACKGROUND

Stroke therapy is essential to reduce impairments and improve motor movements by engaging autogenous neuroplasticity. Traditionally, stroke rehabilitation occurs in inpatient and outpatient rehabilitation facilities. However, recent literature increasingly explores moving the recovery process into the home and integrating technology-based interventions. This study advances this goal by promoting in-home, autonomous recovery for patients who experienced a stroke through robotics-assisted rehabilitation and classifying stroke residual severity using machine learning methods.

OBJECTIVE

Our main objective is to use kinematics data collected during in-home, self-guided therapy sessions to develop supervised machine learning methods, to address a clinician’s autonomous classification of stroke residual severity–labeled data toward improving in-home, robotics-assisted stroke rehabilitation.

METHODS

In total, 33 patients who experienced a stroke participated in in-home therapy sessions using Motus Nova robotics rehabilitation technology to capture upper and lower body motion. During each therapy session, the Motus Hand and Motus Foot devices collected movement data, assistance data, and activity-specific data. We then synthesized, processed, and summarized these data. Next, the therapy session data were paired with clinician-informed, discrete stroke residual severity labels: “no range of motion (ROM),” “low ROM,” and “high ROM.” Afterward, an 80%:20% split was performed to divide the dataset into a training set and a holdout test set. We used 4 machine learning algorithms to classify stroke residual severity: light gradient boosting (LGB), extra trees classifier, deep feed-forward neural network, and classical logistic regression. We selected models based on 10-fold cross-validation and measured their performance on a holdout test dataset using F1-score to identify which model maximizes stroke residual severity classification accuracy.

RESULTS

We demonstrated that the LGB method provides the most reliable autonomous detection of stroke severity. The trained model is a consensus model that consists of 139 decision trees with up to 115 leaves each. This LGB model boasts a 96.70% F1-score compared to logistic regression (55.82%), extra trees classifier (94.81%), and deep feed-forward neural network (70.11%).

CONCLUSIONS

We showed how objectively measured rehabilitation training paired with machine learning methods can be used to identify the residual stroke severity class, with efforts to enhance in-home self-guided, individualized stroke rehabilitation. The model we trained relies only on session summary statistics, meaning it can potentially be integrated into similar settings for real-time classification, such as outpatient rehabilitation facilities.
Correction: Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial (Preprint)
Authors: Deckert Andreas , Anders Simon , Morales Ivonne , De Allegri Manuela , Nguyen Hoa Thi , Souares Aurélia , McMahon Shannon , Meurer Matthias , Burk Robin , Lou Dan , Brugnara Lucia , Sand Matthias , Koeppel Lisa , Maier-Hein Lena , Ross Tobias , Adler Tim J , Brenner Stephan , Dyer Christopher , Herbst Konrad , Ovchinnikova Svetlana , Marx Michael , Schnitzler Paul , Knop Michael , Bärnighausen Till , Denkinger Claudia M
Published: February 2024

UNSTRUCTURED

REMOVE
Unveiling the Influence of AI on Advancements in Respiratory Care: Narrative Review (Preprint)
Authors: Alqahtani Mohammed M , Alanazi Abdullah M M , Algarni Saleh S , Aljohani Hassan , Alenezi Faraj K , F Alotaibi Tareq , Alotaibi Mansour , K Alqahtani Mobarak , Alahmari Mushabbab , S Alwadeai Khalid , M Alghamdi Saeed , Almeshari Mohammed A , Alshammari Turki Faleh , Mumenah Noora , Al Harbi Ebtihal , Al Nufaiei Ziyad F , Alhuthail Eyas , Alzahrani Esam , Alahmadi Husam , Alarifi Abdulaziz , Zaidan Amal , T Ismaeil Taha
Published: February 2024

BACKGROUND

Artificial intelligence is experiencing rapid growth, with continual innovation and advancements in the health care field.

OBJECTIVE

This study aims to evaluate the application of artificial intelligence technologies across various domains of respiratory care.

METHODS

We conducted a narrative review to examine the latest advancements in the use of artificial intelligence in the field of respiratory care. The search was independently conducted by respiratory care experts, each focusing on their respective scope of practice and area of interest.

RESULTS

This review illuminates the diverse applications of artificial intelligence, highlighting its use in areas associated with respiratory care. Artificial intelligence is harnessed across various areas in this field, including pulmonary diagnostics, respiratory care research, critical care or mechanical ventilation, pulmonary rehabilitation, telehealth, public health or health promotion, sleep clinics, home care, smoking or vaping behavior, and neonates and pediatrics. With its multifaceted utility, artificial intelligence can enhance the field of respiratory care, potentially leading to superior health outcomes for individuals under this extensive umbrella.

CONCLUSIONS

As artificial intelligence advances, elevating academic standards in the respiratory care profession becomes imperative, allowing practitioners to contribute to research and understand artificial intelligence’s impact on respiratory care. The permanent integration of artificial intelligence into respiratory care creates the need for respiratory therapists to positively influence its progression. By participating in artificial intelligence development, respiratory therapists can augment their clinical capabilities, knowledge, and patient outcomes.
EXTRACTION TIME EFFECT ON ACTIVE COMPOUNDS LEVELS IN CAT WHISKERS (ORTHOSIPHON ARISTATUS (BLUME) MIQ.)
Authors: FARAMAYUDA FAHRAUK , RIYANTI SORAYA , SURYANI  , KARMILA SHINDI JUNI , WINDYASWARI ARI SRI , GUNTINA RIZKA KHOIRUNNISA
Published: February 2024

Objective: Determine the best time to boil cat whiskers by observing the impact of boiling time on the quantities of rosmarinic acid in cat whiskers.

Methods: For the extraction process, water is boiled for 10, 20, and 30 min at 90 degrees Celsius. High-Performance Liquid Chromatography (HPLC) was used to measure the quantities of rosmarinic acid and validate the analytical procedures in terms of accuracy, precision, linearity, and specificity. The one-way ANOVA test and Duncan's test were used to analyse the data; a p-value of 0.05 was used to indicate a statistically significant difference.

Results: The lowest quantities of rosmarinic acid were found in the study's results during a shorter boiling duration of 10 min, or 2.07% w/w. The highest concentrations of rosmarinic acid were found after a prolonged boiling period of 20 min, at 2.32 % w/w. Meanwhile, rosmarinic acid levels dropped to 2.15 % w/w after a 30 min overboiling period. Rosmarinic acid levels from the three boiling durations differed significantly, according to statistical analysis (p=0.000; p<0.05).

Conclusion: It was determined that 20 min was the ideal boiling duration for extracting rosmarinic acid from purple cat whiskers.
PHARMACOINFORMATICS ANALYSIS OF MORUS MACROURA FOR DRUG DISCOVERY AND DEVELOPMENT
Authors: PUTRA PURNAWAN PONTANA , ASNAWI AIYI , HAMDAYUNI FARIZA , ARFAN  , AMAN LA ODE
Published: February 2024

Objective: Pharmacoinformatics is an innovative approach rapidly evolving in pharmaceutical research and drug development. This study focuses on analysing Morus macroura, a plant species with untapped pharmacological potential. This investigation aims to leverage pharmacoinformatics techniques to unveil the hidden potential of Morus macroura in drug discovery and development.

Methods: The study includes analyses of protein-protein interactions, deep learning docking, adsorption tests, distribution, metabolism, excretion, molecular dynamics simulations and free energy calculation using Molecular Mechanics Generalized Born Surface Area (MMGBSA).

Results: Nine active compounds were identified in Morus macroura, namely Andalasin A, Guangsangon K, Guangsangon L, Guangsangon M, Guangsangon N, Macrourone C, Mulberrofuran G, Mulberrofuran K, and Mulberroside C. These compounds exhibit protein-protein interaction activities against a cytochrome P450 monooxygenase that catalyses the conversion of C19 androgens. These plant compounds influence aromatase excess syndrome, deficiency, and ovarian dysgenesis. Regarding drug-likeness, Mulberroside C and Macrourone C demonstrated good absorption potential by adhering to Lipinski's rule of five. Deep learning docking simulations yielded affinity results of-9.62 kcal/mol for Guangsangon M,-10.44 kcal/mol for Macrourone C, and-10.99 kcal/mol for Guangsangon L. Subsequent molecular dynamics simulations indicated that Guangsangon L and Macrourone C remained stable during a 100 ns simulation.

Conclusion: Morus macroura interacts with important proteins, particularly CYP19A1, which might influence health conditions like aromatase excess syndrome and ovarian dysgenesis. These findings provide potential paths for addressing specific health issues and advancing drug development. Molecular dynamics simulations indicated that Guangsangon L and Macrourone C remained stable during simulation.
Comparison between Power Dissipation and Propagation Delay on 6T SRAM Cell Design Using GDI Logic with Transmission Gate VMSA and Voltage Divider
Authors: Aditya Reza , Harahap Robby Kurniawan
Published: February 2024

The rapid evolution of the semiconductor industry has witnessed shrinking portable and mobile devices alongside an increasing demand for extended battery life. Addressing the critical challenges of speed and battery life in digital devices, this paper investigated the effectiveness of innovative low-power design techniques. Focusing on the Gate Diffusion Input (GDI) approach, a recent advancement in the field, a comprehensive analysis revealed its significant potential for reducing power consumption in digital circuits. Additionally, a comparative analysis was conducted to evaluate the performance of conventional 6T GDI SRAM cells and their Modified 6T GDI SRAM with Voltage Divider, considering the influence of Sense Amplifiers. Simulation data demonstrated that Modified 6T SRAM designs, particularly the Voltage Divider and TGVMSA variants, achieved significantly lower power dissipation and delay despite having a larger cell area. Remarkably, the proposed design substantially improved power dissipation and propagation delay, achieving 1.3 ps, and 889.41mV at 1.8V shows that the suggested design enhances power dissipation and propagation delay. These findings suggest that the proposed design offers a promising strategy for enhancing power efficiency and performance in digital devices, thereby mitigating the limitations of battery life and speed in the modern technological landscape.
A critical overview of Islamic Performance Bonds
Authors: Amareen Emad Mohammad Al , Al-Husban Mustafa M.
Published: February 2024

Banks might finance international trade activities, including import and export, through letters of credit and letters of guarantee (performance bonds). This contract provides a high level of safety and stability for international trade because of the banks' unwavering assurances. This research intends to determine the degree to which Islamic Shariah regulations are followed by Islamic banks' activities while outlining the challenges these institutions face while using performance bonds. This study has highlighted the performance bond issues that importers and exporters are dealing with and has proposed solutions to the issues. This research uses a qualitative and doctrinal legal approach to investigate the structure of Islamic banks in relation to Islamic economic restrictions. This study analyses the organization of Islamic banks regarding Islamic economic controls. It also examines, how far Islamic banks can benefit from the blockchain and smart contract technology to harmonize Islamic economic controls with Islamic banks' practice in such funding & guarantees instruments. Concerning the Islamic letter of credit, the findings reveal that Islamic banks face many risks resulting from the conditions and controls set by the Islamic Trade Guidelines. Therefore, Islamic banks can face more risks than conventional banks due to the nature of Islamic finance, which prohibits dealing with interest (Ribā) and conventional insurance. furthermore, the study reveals that Blockchain Technology and smart contract has a Positive Impact on Islamic banking practise.
The Effect of In-School Work Experience on First Job Satisfaction among College Graduates: Applying Causal Forests
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Jang Eunah , Chung Hyewon
Published: February 2024

Objectives This study was conducted to verify the effect of in-school work experience on job satisfaction in the first job among college graduates and to explore how the purpose of work experience while in school and the rele-vance of the major affect job satisfaction in the first job.
Methods To do this, causal forests were applied to the 2020 Graduates Occupational Mobility Survey (GOMS) to examine the average treatment effect of in-school work experience on the job satisfaction of the first employment. Additionally, heterogeneous treatment effects were explored based on personal backgrounds, col-lege factors, job preparation, and characteristics of the first job among college graduates. Furthermore, hier-archical regression analysis was applied to control for variables that were significant in the heterogeneous treat-ment effects and to verify the effects of the purpose of work experience and the relevance of the major on job sat-isfaction in the first job.
Results First, the average treatment effect of work experience during college had a positive effect on job sat-isfaction in the first job. Second, the heterogeneous treatment effect of college location was significant, with some regions showing a decreasing effect of in-school work experience on job satisfaction in the first job. Third, livelihood type work experience has a negative effect on job satisfaction in the first job. Fourth, the relevance of work experience to the major had a positive effect on job satisfaction in the first job.
Conclusions Based on the findings, implications and policy implications of the study were discussed.
The Effects of University Students' Parental Attachment on Dysfunctional Career Thoughts via Social Support and Emotional Intelligence
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim So-Hyun , Yoon Joong-Hun , Kim Se-Young
Published: February 2024

Objectives This study aimed to identify the impact the parental attachment of 4-year college students has on their dysfunctional career thoughts through social support and emotional intelligence to provide primary data that can be used for education and counseling for college students' career choice and preparation.
Methods In order to verify the research question, an online survey was conducted on students currently attending universities in Korea by selecting a total of 17 regions, including Seoul, Sejong, Jeonnam, Ulsan, and Jeju. A total of 300 questionnaires were used for the final analysis, and a structural equation model was used to investigate the relationship among latent variables and to verify the significance of model goodness of fit, and single- and dou-ble-mediated effects.
Results First, a single-mediated impact of social support was identified in terms of the relationship between pa-rental attachment and emotional intelligence, while emotional intelligence was determined as a single-mediated effect for social support and dysfunctional career thoughts. Second, the fully double-mediated effect of social support and emotional intelligence was identified in parental attachment and dysfunctional career thoughts.
Conclusions This demonstrates that in the short term, interventions focusing on social support and emotional in-telligence rather than parental attachment are expected to have a direct and short-term effect. In a fundamental aspect, this means that counseling strategies and interventions are needed to help recognize and understand cli-ent problems, considering mediation for parental attachment.
Service-learning in higher education in Korea: A review of research
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Choi Soo Joung
Published: February 2024

Objectives This study reports on a review of research concerning service-learning in higher education in Korea over the past 22 years (from 2001 to 2022).
Methods A total of 25 KCI-indexed empirical studies were analyzed in terms of their publication date, research methodology, service-learning characteristics, and research themes.
Results The results indicate that research on service-learning in the context of Korean higher education was not widely conducted until the early 2010s; however, studies have significantly increased since the latter half of the 2010s. Qualitative research methodology emerged as the most popular method in examining the experiences of college students’ engagement in service-learning. In most of the reviewed studies, service-learning was im-plemented in a semester-long curricular-based format, with service hours varying from 16 to 48 hours. Students’ involvement in service-learning was found to be closely related to their personal, academic, and social growth.
Conclusions Given that research on service-learning in higher education in Korea is in its infancy, more studies are needed, particularly those spanning diverse academic disciplines. These studies are crucial for achieving a comprehensive understanding of how service-learning experience contributes to Korean college students’ devel-opment as active citizens with social responsibility. The feedback on students’ reflection, promoted during the process of service-learning, warrants further investigation. This will enhance our understadning of the intricate relationship between reflection and successful learning via participation in service-learning.
Interaction Analysis between learning method and course division on learning satisfaction and learning presence in the synchronous universities online class
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Yu MinU , Kim SeungOk , Yu ByeongMin
Published: February 2024

Objectives The purpose of this study was to examine interaction between learning method and couse division on learning satisfaction and learning presence in the synchronous universities online class.
Methods Based on such research theories, the study conducted an online survey of 309 Korean university stu-dents who took synchronous online class before September 2020.
The questionnaire was developed through a prior study analysis, and 308 respondents, excluding one unfaithful case, were targeted for analysis. The data was analyzed by using the Microsoft Excel spread sheet and SPSS.22 program to verify the research hypothesis. The reliability test was conducted to verity the internal consistency by calculating Cronbach' α coefficient. In addition, a Two-way ANOVA was conducted to analyze the differences in learning satisfaction between he learning method and course division, and a multivariate analysis(MANOVA) was conducted to analyze the differences in the learning presence according to he learning method and course division. Results First, in synchronous online classes at universities, the learning satisfaction level according to the type of course division was found to be no significant difference, and there were significant differences only in the type of learning method. Second, the presence of learning about the course division did not reveal any significant difference. Third, in synchronous classes, the interaction of learning satisfaction with the interaction of course di-vision and learning method was found to be ineffective. Fourth, the interaction effect of the course division and learning method on the learning presence was shown in synchronous online classes.
Conclusions The synchronous online lectures were difficult to completely replace existing face-to-face lectures. Therefore, based on the characteristics of the platform on which synchronous online lectures are conducted and the learner's needs, a continuous study of the model of synchronous online classes should be processed.
A study on child counselors’ perception of countertransference using Q methodology
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Hwang Soon Won , Lee Sang Hee
Published: February 2024

Objectives This study applied Q methodology to type the subjectivity of child counselors' countertransference ex-periences and identify the characteristics of each type in order to identify the subjective perceptions and charac-teristics of each type according to the countertransference experiences of child counselors.
Methods To this end, a total of 143 statements were derived through literature research and in-depth interviews for a total of 26 days from March 20 to April 15, 2023, and a total of 25 child counselors were selected as the P sample and Q classification was conducted. . The collected data were analyzed using the PC-QUANL Program.
Results As a result of the study, the types of child counselors' countertransference experiences were classified into a total of four types, with type 1 being the 'countertransference self-reflection type' who believed that they experienced inner maturity and growth as a human being, and type 2 being the 'countertransference type' as an expert. ‘Countertransference management ability type’, who thinks they have experienced the need for the ability to manage themselves, Type 3 is the ‘Countertransference Active Acceptance Type’, who thinks they have experi-enced acknowledging and accepting countertransference rather than denying it, and Type 4 is self-managed. The 'reverse transfer professionalism improvement type' was found to have experienced improvement in expertise by encountering problems.
Conclusions Through the results of this study, we focused on the perception of child counselors' counter-transference experiences, classified and confirmed the structure of child counselors' subjective perception of countertransference, and provided information on accessibility and ways for child counselors to manage and pre-vent countertransference. We hope it will be used as relevant basic data.
Analysis of cyber university learners’ experiences through keyword network analysis
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Lee Eun-taek , Cha Jeongmin
Published: February 2024

Objectives As a basic research for studying cyber university learning experience, this study aims to structurally identify the main elements and relationships that make up the learning experience by analyzing previous studies related to cyber university learners using the keyword network method.
Methods Keyword network analysis was conducted on 75 keywords related to 'cyber university', 'distance uni-versity', and 'learning' published in domestic academic journals. The keyword network analysis focused on weight-ed connectivity, dominance centrality, proximity centrality, and mediation centrality, and the ego network analysis was conducted for the main keywords cyber university, cyber university learners, and online education.
Results As a result of examining the overall network structure of cyber university + learner-related research, the keywords learning performance, sense of presence, self-direction, satisfaction, and academic continuation were analyzed as major keywords in the weighted connectivity section. As a result of ego network analysis targeting the top three keywords of weighted connectivity, power centrality, closeness centrality, and betweenness centrality: cyber university, cyber university learner, and online education, the cyber university ego network was analyzed in the order of learning performance, academic continuation, and sense of presence.
Conclusions Cyber University is entering its maturity stage as it turns 20. The reality is that the patterns of cyber university learners have also diversified. Therefore, by understanding the diversity and context of various cyber university learners, it is necessary to be able to prescribe the learning difficulties they are experiencing. In addition, it was found that when studying cyber universities, the characteristics of online education and the changing digital environment must be kept in mind.
A Meta-analysis on the Effects of Domestic online-based Depression Relief Program
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Woo Junglan , Kim Yunhee
Published: February 2024

Objectives This study attempted to examine the effectiveness of domestic online-based depression relief pro-grams using meta-analysis methods.
Methods For this purpose, a total of 13 papers that met the analysis criteria were selected among domestic on-line-based depression relief program studies in which the general population, adolescents and adults with de-pressive symptoms, and the elderly participated until 2022. The random effect model was selected to calculate the overall average effect size, average effect size according to mediating variables, and average effect size ac-cording to dependent variables other than depression.
Results As a result of calculating the effect size of the papers subject to analysis, the overall average effect size was 0.6, which was medium size. Looking at the average effect size according to the mediating variable, the study subjects had an effect regardless of the clinical group excluding the general group in terms of depression level, presence or absence of facility use, dementia, and cognitive function. The operating method was found to be most effective when the total number of sessions was less than 10, the number of sessions per week was once a week, the implementation period was 8 weeks or less, and the time per session was between 30 and 60 minutes. Regarding content types, the effect size for Internet web and virtual reality was medium, and mobile applications were not significant. The effect size by program type was medium for cognitive behavioral therapy, cognitive train-ing and cognitive rehabilitation therapy, and convergence therapy. Among convergence treatments, programs combining cognitive behavioral therapy and interpersonal therapy appeared to be the most effective, and the aver-age effect size for dependent variables other than depression showed that all emotion-related variables were ef-fective, but the effect size for social skills was insufficient. It is worth paying attention.
Conclusions These results are meaningful in providing basic data on an effective domestic online-based depres-sion alleviation program and suggest directions for follow-up research.
A qualitative study on the counseling experience of social workers in daycare facilities for people with disabilities: Struggling between two identities
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Hwang Jee Yeon , Bae Young Kwang
Published: February 2024

Objectives This study aimed to investigate the meaning and phenomenon of the counseling experience of social workers who practice counseling at a daycare facility for people with disabilities in Busan, and presents the es-sence of their meanings.
Methods Using Giorgi's phenomenological research method, in-depth interviews were conducted with six social workers with more than three years of experience in daycare facilities for people with disabilities in Area P. Data from the interviews were analyzed. This study followed the following steps: reading the description with the over-all context in mind, distinguishing meaning units while focusing on the study phenomenon, converting the mean-ing units into counseling psychology terms, and integrating the converted meaning units into a general structural description of the study phenomenon.
Results As a result of the analysis, 26 meanings were derived, and their relationships were identified into nine themes and grouped under three topics. Focusing on the core themes, the social workers of the daycare facilities for people with disabilities “faced actual difficulties and counseling environment of people with disabilities and their caregivers, which is different from the counseling for people without disabilities.” They were “struggling for the change and growth of people with disabilities even in exhausting situations.” Because of this, they were aware of the need to “recognize the poor counseling environment for people with disabilities and take measures to im-prove it.”
Conclusions Based on the findings of this study that investigated the counseling experience of social workers in daycare facilities for people with disabilities in Busan, the significance and limitations of the study were discussed, and suggestions for follow-up research were presented.
Determinants influencing the adoption of artificial intelligence technology in non-life insurers.
Authors: Nguyen Thi Hai Duong , Nguyen Xuan Tiep , Le Tran Ha Trang , Bui Quynh Anh
Published: February 2024

Although artificial intelligence (AI) technology has been widely used in the insurance industry at a global scale, studies examining the adoption of AI technology in emerging markets are few and far between. This paper fills this gap by using Cronbach’s alpha, exploratory factor analysis, confirmatory factor analysis, and structural equation model (SEM) to discover significant factors affecting their behavioral intentions to adopt AI technology in Vietnam, a developing country. Data is collected from nearly 470 employees in Vietnamese non-life insurance firms. Empirical findings show that the most important determinant influencing the adoption of AI technology in Vietnamese non-life insurers is attitudes toward adoption. Attitudes toward adoption are positively related to the perceived ease of use and perceived usefulness, consistent with Gupta et al. (2022). Although perceived risk has a negative influence on the behavioral intention to adopt AI technology, it is not a serious issue for insurance companies.
Safety Regulations of Edible Ingredients Derived from Corynebacterium glutamicum
Authors: P Kim
Published: February 2024

Corynebacterium glutamicum has been researched and developed as a strain that produces various edible ingredients, starting with glutamic acid. Due to environmental pollution and food security issues, studies on using C. glutamicum as a single-cell protein (SCP) are emerging. For the past 20 years, cases valid as safe among edible ingredients derived from C. glutamicum by the European Food Safety Authority (EFSA) or U.S. Food and Drug Administration (FDA) were L-glutamic acid, L-lysine, L-arginine, L-valine, L-isoleucine, L-histidine, L-threonine, L-methionine, L-tryptophan, L-glutamine, 2′-fucosyllactose, corn syrup fermentation product, and D-psicose 3-epimerase. According to validation, it is recommended that the final product should be free of viable cells and recombinant DNA of the production strain. Although there is a possibility that viable cells may be present in the final product, it can be considered safe if the strain qualifies for Qualified Presumption of Safety (QPS) or Generally Recognized as Safe (GRAS). Even if there is a possibility that recombinant DNA may be present in the final product, it can be considered safe as long as it is not a gene of concern for antibiotic resistance, toxicity, or pathogenicity. This review provides insights for future safety validation of edible ingredients derived from C. glutamicum, including SCPs.
Validity of a Chemistry Learning Module Based on Socio-Scientific Issues
Authors: Utami Restu , Prodjosantoso Anti Kolonial
Published: February 2024

This paper aims to determine the validity and eligibility percentage of socio-scientific issues-based chemistry learning module by material and media experts. The method used in this research was Research and Development (R&D) using the 4D model by  Thiagarajan. The module was validated by two material experts and two media experts. The instrument used to obtain the validation data was an expert assessment questionnaire. The data were analyzed using quantitative descriptive analysis techniques. The validation value by material experts was 57.5, and its eligibility can be categorized as ’very good’. The percentage of eligibility from the material expert assessment obtained was 89.84%. The validation value by media experts was 61.50, and its eligibility can be categorized as ’very good’. The percentage of eligibility from the media expert assessment obtained was 96.09%.
Detection of Partial Central Diabetes Insipidus in Limited Resource Setting
Authors: Pasaribu Merci M. , Istiqomah Dina Nurul , Wulandari Dewi
Published: February 2024

Antidiuretic hormone (ADH) is an endogenous prohormone peptide synthesized in the posterior hypothalamus that regulates water excretion by the kidney. Diabetes insipidus is a disorder characterized by the excretion of large amounts of urine (diabetes) that are hypotonic, watery, and tasteless (insipid). The rarity of this case is one of the causes of missed diagnosis. If not diagnosed properly, patients will receive therapy that exacerbates the disease. The Water Deprivation Test (WDT) is one of the dynamic tests that can be done to narrow the diagnosis. A 44-year-old female was admitted to the hospital with chief complaints of polydipsia and polyuria during the previous 9 months. The patient had a history of irregular menstruation, cesarean delivery due to abdominal mass, and breast lump surgery. Diabetes mellitus and thyroid disease were excluded. Her blood pressure during admission was 150/100 mmHg and her body mass index was 31.1. Fluid balance data obtained before the water deprivation test showed that the urine volume (output) was 7.150 mL per 24 hours, and the total water input was 6.290 mL. Water deprivation test results showed that the kidneys were partially respond to the administration of exogenous ADH, suggestive of partial central diabetes insipidus.
Humoral and Cellular Immune Response on COVID-19 Patients and Sinovac Vaccine Participants
Authors: Sidharta Brigitte Rina Aninda , Senaputra Mas Aditya
Published: February 2024

Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV)-2 is a new SARS-CoV virus. A person who is infected with this virus will induce both humoral and cellular immune responses. Herd immunity can be achieved through vaccination. The purpose of vaccination is the formation of antibodies capable of neutralizing coronavirus against the receptor binding domain. This study aimed to determine the differences between humoral and cellular immune responses between confirmed COVID-19 patients and Sinovac vaccine participants. This observational analytic study with a prospective cohort approach was conducted between March to October 2021. Fifty subjects (25 officers who had received vaccinations for COVID-19 patients and 25 COVID-19 patients treated at the Dr. Moewardi General Hospital) and met the inclusion and exclusion criteria were enrolled. Different tests were carried out to see the difference between the levels of CD8+ T cells and anti-SARS-CoV-2 antibodies in the vaccine group and the COVID-19 patient group. There was no significant difference in humoral immune response (anti-SARS-CoV-2) between the vaccine group and COVID-19 patient group [33.93 (0.4–196.6) U/L vs. 101.28±158.59 U/L; p=0.409], but there was a significant difference in cellular immune response (CD8+) between the vaccine group and COVID-19 patient group [878.52±47368 cells/µL vs. 270.16±213.64 cells/µL; p=0.001]. CD8 assay can be used as a parameter to differentiate the cellular immune response between COVID-19 patients and COVID-19 vaccine recipients.
Comparison of Two SARS-CoV-2 Rapid Antigen Test
Authors: Boroh Stefany , Handayani Irda , Kadir Nursin Abdul , Bahrun Uleng
Published: February 2024

The Coronavirus Disease 2019 (COVID-19) pandemic continues to spread worldwide. A quick, simple, and accurate test to diagnose COVID-19 is essential for this situation. This study aims to evaluate and compare the rapid antigen examination of SARS-CoV-2 with Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) in detecting SARS-CoV-2. A retrospective study with a cross-sectional approach using medical record data from suspected, controlled, and confirmed COVID-19 patients whose samples were taken simultaneously for rapid antigen examination of SARS-CoV-2 (SD-Biosensor and Lungene) and RT-PCR at Labuang Baji Hospital, Makassar from September 2020-September 2021. Each instrument's sensitivity, specificity, negative predictive value, and positive predictive value were analyzed with the Receiver Operating Characteristics (ROC) curve method. This study obtained data from 312 rapid antigen tests for SARS-CoV-2, divided into two categories, 98 using Lungene and 214 using SD-Biosensor. Rapid antigen Lungene had a sensitivity of 71.4%, specificity of 71.4%, an accuracy of 71.4%, and a 31 reactive result in CT value. The SD-Biosensor Rapid antigen had a sensitivity of 62.6%, a specificity of 99.1%, an accuracy of 82.2%, and a 26 reactive result in CT value. In summary, the sensitivity of rapid antigen Lungene is higher than SD-Biosensor. Specificity and accuracy of rapid antigen SD-Biosensor higher than Lungene. Rapid test antigen SARS-CoV-2 has the potential to be a screening test for COVID-19 as long as the sampling time is right.
Procoagulant Phospholipid Activity and MPV Values in Acute Ischemic Stroke
Authors: Cynthia Cynthia , Immanuel Suzanna , Setiabudhy Rahajuningsih Dharma
Published: February 2024

Ischemic stroke can be caused by atherothrombosis or embolism. Atherothrombosis occurs due to the rupture of an atherosclerotic plaque causing platelet activation. There are several markers of platelet activation, including platelet microparticles. The levels of platelet microparticles can be measured by examining procoagulant phospholipid (PPL) activity. It is not yet known exactly what activates thrombopoiesis, which can be assessed by an increase in Mean Platelet Volume (MPV). This study aimed to know whether there is an increase in PPL activity and MPV values in acute ischemic stroke, whether platelet activation is influenced by differences in ischemic stroke subtypes, and whether there is a relationship between PPL activity and MPV values in acute ischemic stroke. The study design was cross-sectional and involved 60 subjects. PPL activity in acute ischemic stroke (65.14±13.35 seconds) tends to be higher (shorter clotting time) than in healthy individuals (68.59±8.56 seconds), however, this difference was not statistically and clinically significant. The MPV value in acute ischemic stroke (9.83±0.72 fL) compared to healthy individuals (9.65±0.86 fL) however this difference was not statistically significant. PPL activity in the SAO subtype (61.66±1.31 seconds) tends to be higher than LAA (68.62±14.57 seconds), however, this difference was also not statistically significant. There was a weak correlation between PPL activity (seconds) and MPV value (fL) in acute ischemic stroke (r =0.34, p-value=0.03).
Analysis of Blood Group Discrepancy at Dr. Wahidin Sudirohusodo Hospital's Blood Transfusion Unit Makassar
Authors: Erdayanti Erdayanti , Muhiddin Rachmawati , Arif Mansyur
Published: February 2024

Discrepancy is a lack of compatibility of blood group tests between forward grouping and reverse grouping. Based on the cause, discrepancies are divided into four groups as follows: group I discrepancies, which occur due to weak or missing antibodies, group II discrepancies, which occur due to weak or missing antigens, group III discrepancies, which result in the formation of rouleaux, and group IV discrepancies, which are caused by other problems. A retrospective study was carried out by using ABO blood group data, which were analyzed by the automatic gel test method with the IH-1000 device. Data from January 2019 to December 2021 was collected at the Blood Transfusion Unit, Dr. Wahidin Sudirohusodo Hospital of Makassar, and the data were grouped using SPSS version 22. A total of 21.742 samples were tested. The number of detected ABO blood group discrepancies was 127 (0.58%). There were 68 (51.3%) males and 59 (46.5%) females with an age range divided into toddler (38.6%), child (2.4%), adolescent (13.4%), adult (8.7%), pre-elderly (17.3%), and elderly (6.3 %). Based on the disease, discrepancies were categorized into samples with infectious disease (33.9%), autoimmune disease (3.9%), malignancy (23.6%), chronic disease (11%), and others (27.6%). The discrepancies consisted of group I (70.9%), group II (0%), group III (0.8%), and group IV (28.3%). There was a significant correlation between age and blood group discrepancy with p < 0.001 and moderate correlation strength (0.54). The prevalence of discrepancy in this study was 0.58%. Discrepancies must be resolved before they are reported to minimize transfusion reactions.
Identification of the Level of Development and the Current State of the Tourism in Slovak Regions
Authors: Gáll Jozef
Published: February 2024

Every region has its unique natural, cultural, and historical wealth, as well as infrastructure, a range of attractions, and business opportunities that can attract a large number of visitors. Developing the potential of tourism in regions is important for stimulating economic growth, job creation, and improving the quality of life for local residents. Its development in regions involves mapping and analyzing available resources, opportunities, and competitive environments. The purpose of this article is to quantify the level of regional tourism development, assess its potential in Slovak regions, and identify their current disparities. For the purposes of this study, we will evaluate the potential of Slovak tourism regions using commonly used indexes - indicators of tourism intensity. The results of the analyses have demonstrated significant disparities among the individual tourism regions. We see that the development in different tourism regions varies greatly, and in some cases, there are pronounced disparities in terms of their development, visitor interest intensity in each region, and the economic benefits of tourism in the regions. These findings have served as the basis for proposing solutions that address the development issues in regions through the impacts of tourism.
Effectiveness of Interpretative Signs on Visitors’ Behaviour and Satisfaction at Lekki Conservation Center, Lagos State, Nigeria
Authors: Arowosafe Folusade , Oni Festus , Tunde-Ajayi Olalekan
Published: February 2024

This study aimed to find out the effect of interpretive signs on visitors’ behaviour and satisfaction at Lekki Conservation Center, Lagos State. Direct observation and well-structured questionnaire; directed at 200 respondents were used to obtain primary data at the site. Data was analysed descriptively and inferentially. Results revealed different forms of interpretive signages available at the site as well as their location. Also, the visitors were aware of interpretive signages at the site, and they comply with these signages. Furthermore, results revealed the effect of interpretive signages on visitors’ behaviour which showed “The interpretive signages are helpful” had the highest mean value (4.52). There is significant relationship between the visitors’ awareness of interpretive signages and their compliance (r=0.404, P<0.01)), satisfaction (r=0.335, P<0.01) and revisit intention due to interpretive signages (r=0.220, P<0.01). Thus, this study which is valid for domestic tourism concludes that interpretive signages have positive effect on visitors’ behaviour and satisfaction and should therefore be managed well at tourism destinations. Findings from this study will help tourism industry professionals in creating strategies for effective inclusion and management of interpretive signages at tourism sites.
An Improved Alternating Direction Method of Multipliers for Matrix Completion
Authors: Yan Xihong , Zhang Ning , Li Hao
Published: February 2024

Matrix completion is widely used in information science fields such as machine learning and image processing. The alternating direction method of multipliers (ADMM), due to its ability to utilize the separable structure of the objective function, has become an extremely popular approach for solving this problem. But its subproblems can be computationally demanding. In order to improve computational e ciency, for large scale matrix completion problems, this paper proposes an improved ADMM by using convex combination technique. Under certain assumptions, the global convergence of the new algorithm is proved. Finally, we demonstrate the performance of the proposed algorithms via numerical experiments.