Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of the Ionospheric Effect on GBAS (Ground-Based Augmentation System) Using the Nation-Wide GPS Network Data in Japan

This paper presents an investigation of spatial gradient of ionospheric delay that has a possibility of affecting GBAS (Ground-Based Augmentation System) using the nationwide and dense GPS network in Japan (GEONET; GPS earth observation network). GBAS is a system based on a differential GPS technique for aircraft precision approach near an airport using C/A pseudorange. In general, ionospheric delay will be removable using correction data set that is generating and transmitting from a ground segment of GBAS. However, a large spatial gradient of ionospheric delay between ground GPS monitoring station and aircraft will be a risk to integrity of GBAS. Therefore, our purpose is to exactly estimate local-scale variation of ionospheric delay. Because Japan is located in lower geomagnetic latitude than geographic latitude, ‘Equatorial anomaly’ phenomenon is especially remarkable for generating a variation of ionospheric delay gradient in the North-South direction. GEONET is consists of about 1,000 GPS stations using dual-frequency receiver and a typical distance between neighbor stations is about 20 km. We used Total Electron Content (TEC) data of GEONET with a correction of inter-frequency bias that provided from TEC database of Kyoto University, Japan. Firstly, we investigated general characteristic of spatial gradient of ionospheric delay over Japan using TEC data with rough grid and time resolutions. In distribution analysis of the number of times for each magnitude of gradient in the S-N direction, the results were consistent with the matter that growth of equatorial anomaly produced large TEC gradient toward south.
The Role of Platelet Parameters in Predicting the Disease Severity of COVID-19 Patients: A Hospital-Based Study

Background and objective Globally, a large number of people have been impacted by the extremely contagious coronavirus disease 2019 (COVID-19) infection, and several pieces of literature were published on hematological parameter changes in this infection, particularly focusing on leucocytes. In this study, we have analyzed the platelet parameters and platelet-leucocyte ratios in COVID-19 patients and correlated them with the disease severity. Methods The COVID-19 patients who were hospitalized during the second peak of the pandemic were assessed. The platelet count and indices, platelet to lymphocyte ratio (PLR), neutrophil to platelet ratio (NPR), and clinical severity of each patient were analyzed. The significance of parameters and clinical severity was evaluated using analysis of variance (ANOVA) and the Kruskal Wallis test. A bivariate analysis was performed to assess the strength of the association. Receiver operating characteristic (ROC) curves were plotted to detect the predictive value of parameters for disease severity. Results The data of 132 COVID-19 patients has been evaluated. The average mean age was 45.60 ± 15.76 years with slight female predominance. Thrombocytopenia was found in 33% of cases with the majority of them being mild. Age, platelet distribution width (PDW), and PLR and NPR parameters were significantly (p-value <0.05) associated with disease severity. ROC curves showed age, PDW, PLR, NPR, absolute neutrophil count (ANC), and absolute lymphocyte count (ALC) had significant prediction values for clinical severity. Conclusions Platelet parameters may not accurately reflect the severity of the disease, but when combined with leucocyte parameters and their ratios (PLR and NPR), they offer important information about disease severity.
Meta-analyses in Economic Psychology: A sustainable approach to cross-cultural differences

This manuscript is a methodological work on the state of research using meta-analytic procedures in Economic Psychology, with a focus on the investigation of cross-cultural differences. We review published meta-analyses and introduce a new classification thereof by data source, describing how the different categories relate to the study of cross-cultural differences. We also discuss related opportunities and challenges, proposing a sustainable methodological approach that is then implemented in three case studies where we re-analyze data from published meta-analyses. In doing so, the relevance of culture as a determinant is explored by relating country-level cultural indicators to experimental measures of risk aversion, tax compliance, and prosocial behavior, respectively. It turns out that, after we control for country-level cultural heterogeneity and economic development, country-level individualism predicts these economic outcomes. We discuss possible interpretations of our findings. meta-analysis, individualism, fractionalization, Multiple Price List, Tax Evasion Game, Dictator Game
Social Work Education and the Tribal/Indigenous peoples of India’s northeast

Social work as a profession has evolved out of contextualised human responses to social, political and economic questions that afflict human existence. Its education and practice in India, imported from the west as a part of the colonisation process, has remained stagnated, for long, with concepts and methods suited to respond to the ravages of industrial revolution in Europe. Thus, it has failed, in many ways than one, to position itself responsively to India’s contexts. The tribal/indigenous situation of India’s northeast, for instance, challenge social work education and practice to define programmes and strategies, respectively, suited to meet its unique needs. The present paper is an attempt to conceptualise a social work education framework suited to this context.
Impact of floor covering on wheelchair rugby players: analysis of rolling performance

Introduction Despite the increased interest in indoor wheelchair sports in many countries, research on the effect of floor coverings on sports performance is limited. Currently, there are no specific guidelines for covering characteristics for wheelchair sports, whether for competitive or recreational purposes. This study aimed to determine the impact of floor coverings on the biomechanical parameters of manual wheelchair propulsion for wheelchair rugby practice. Methods Ten wheelchair rugby players performed 6 maximum-velocity sprints over 20 meters, with a 20-second recovery time between sprints, on 3 different coverings, using their personal sports wheelchairs. The coverings were: wood parquet, Gerflor TX System Endurance®, and a plastic synthetic covering (balatum). Performance and propulsion technique variables were collected using inertial measurement units (265 Hz, Kinvent, France). Additionally, rolling resistance quantification tests were conducted on each covering. Results Rolling resistance was lowest on the wood parquet, with an average value of 3.98 ± 0.97 N. Best sprint performance was achieved on the wood parquet. The fatigue index on the parquet was significantly lower than on the balatum (p < 0.05). Discussion Our results highlight that floor surface influences both performance and propulsion technique variables. Therefore, we recommend performing wheelchair rugby training on wood parquet to optimize performance. It is also important to consider the impact of different coverings on sprint performance when organizing player rotations to maintain a high level of competition during tournaments.
Impact Analysis of Economic Factors, Education, and Access to Resources on Income Gap in Yogyakarta

This research delves into the intricate dynamics of income inequality in Yogyakarta, focusing on the interplay of Access to Resources, Economic Factors, Education, and the resulting Income Gap. Utilizing a quantitative approach, the study employs Structural Equation Modeling to analyze data collected from a diverse sample. The findings reveal significant relationships between these socio-economic variables, shedding light on the nuanced factors contributing to income disparities. Access to Resources emerges as a pivotal factor, alongside the influence of Economic Factors and the mitigating effect of Education. The results carry profound policy implications, emphasizing the need for targeted interventions to enhance resource accessibility, foster inclusive economic development, and promote educational opportunities. This research contributes to the broader discourse on income inequality, offering actionable insights for policymakers, researchers, and practitioners invested in creating a more equitable socio-economic landscape in Yogyakarta.
Using Thematic Analysis to Characterize the Connection Between Sociotechnical Engineering Courses and Students' Sense of Belonging and Engineering Identity

This full research paper explores the connections between students' exposure to sociotechnical engineering coursework and their sense of belonging in engineering and/or engineering identity. We applied thematic analysis to 164 responses from two open-ended survey questions that asked students how their sociotechnical engineering courses affected their sense of belonging in engineering and how they see themselves as an engineer. Using a framework proposed by Fila et al. [1] for teaching engineering within a humanistic lens to help students develop a sense of belonging and their engineering identity, we coded student responses to themes that aligned with the framework's three dimensions: engineering for, with, and as people. We found that 86% of the responding students provided comments that aligned with this framework. The strongest impact on students' engineering identity and/or sense of belonging was through characteristics associated with the engineering for people theme, which supports previous work indicating the impact of sociotechnical engineering courses on students' perspectives. Our findings show more specifically that sociotechnical courses impact students' engineering identity and/or sense of belonging largely by conveying to them the impact they can have on society through their role as an engineer. More broadly, our findings support Fila et al.'s three-dimensional framework for teaching engineering through a humanistic lens.
LIGHT/TNFSF14 Affects Adipose Tissue Phenotype

LIGHT/TNFSF14 is linked to several signaling pathways as a crucial member of a larger immunoregulatory network. It is primarily expressed in inflammatory effector cells, and high levels of LIGHT have been reported in obesity. Thus, with the aim of deepening the knowledge of the role of LIGHT on adipose tissue phenotype, we studied wild-type (WT), Tnfsf14−/−, Rag−/− and Rag-/Tnfsf14- (DKO) mice fed a normal diet (ND) or high-fat diet (HFD). Our results show that, although there is no significant weight gain between the mice with different genotypes, it is significant within each of them. We also detected an increase in visceral White Adipose Tissue (vWAT) weight in all mice fed HFD, together with the lowest levels of vWAT weight in Tnfsf14−/− and DKO mice fed ND with respect to the other strain. Inguinal WAT (iWAT) weight is significantly affected by genotype and HFD. The least amount of iWAT was detected in DKO mice fed ND. Histological analysis of vWAT showed that both the genotype and the diet significantly affect the adipocyte area, whereas the number is affected only by the genotype. In iWAT, the genotype and the diet significantly affect mean adipocyte area and number; interestingly, the area with the least adipocyte was detected in DKO mice fed ND, suggesting a potential browning effect due to the simultaneous lack of mature lymphocytes and LIGHT. Consistently, Uncoupling Protein 1 (UCP1) staining of iWAT demonstrated that few positive brown adipocytes appeared in DKO mice. Furthermore, LIGHT deficiency is associated with greater levels of UCP1, highlighting the lack of its expression in Rag−/− mice. Liver examination showed that all mice fed HFD had a steatotic liver, but it was particularly evident for DKO mice. In conclusion, our study demonstrates that the adipose tissue phenotype is affected by LIGHT levels but also much more by mature lymphocytes.
Adult Animal Stem Cell-Derived Organoids in Biomedical Research and the One Health Paradigm

Preclinical biomedical research is limited by the predictiveness of in vivo and in vitro models. While in vivo models offer the most complex system for experimentation, they are also limited by ethical, financial, and experimental constraints. In vitro models are simplified models that do not offer the same complexity as living animals but do offer financial affordability and more experimental freedom; therefore, they are commonly used. Traditional 2D cell lines cannot fully simulate the complexity of the epithelium of healthy organs and limit scientific progress. The One Health Initiative was established to consolidate human, animal, and environmental health while also tackling complex and multifactorial medical problems. Reverse translational research allows for the sharing of knowledge between clinical research in veterinary and human medicine. Recently, organoid technology has been developed to mimic the original organ’s epithelial microstructure and function more reliably. While human and murine organoids are available, numerous other organoids have been derived from traditional veterinary animals and exotic species in the last decade. With these additional organoid models, species previously excluded from in vitro research are becoming accessible, therefore unlocking potential translational and reverse translational applications of animals with unique adaptations that overcome common problems in veterinary and human medicine.
Telemedicine treatment adherence and perception compared with face-to-face treatment in eating disorder patients

Objective: To determine the perception of and adherence to psychiatric, psychotherapeutic, and nutritional treatment via telemedicine compared with face to face care in patients with eating disorders. Methods: Descriptive quantitative study with nonprobability, convenience sampling of patients treated between May and October 2021. We conducted semi-structured interviews, based on subjects’ satisfaction with the telemedicine experience versus face-to-face treatment. Findings were described by grouping responses by significance analysis and systematically drawing conclusions. Results: Twenty female subjects aged between fourteen and fifty participated. Seventy-five per cent perceived telemedicine as an effective option and expressed a high degree of satisfaction, while 55% stated that they preferred face-to-face care. The advantages reported included less travel time and expense, and avoiding infection while disadvantages included the difficulty of ensuring technological access, and the lack of privacy and electronic prescriptions. Telemedicine also improved treatment attendance. Conclusions: Telemedicine in the interdisciplinary treatment of eating disorders is feasible, effective, and satisfactory, contributing to therapeutic adherence. However, most subjects regard it as being contingent on the situation, rather than a choice, and would prefer to return to face-to-face treatment.
Robustness and performance evaluations for simulation-based control and component parameter optimization for a series hydraulic hybrid vehicle

ABSTRACT Simulation-based optimization is a useful tool in the design of complex engineering products. Simulation models are used to capture numerous aspects of the design problem for the objective function. Optimization results obtained can be assessed from various perspectives. In this study, component and control optimization of a series hydraulic hybrid vehicle is used as an application, and different robustness and performance aspects are evaluated. Owing to relatively high computational loads, efficient optimization algorithms are important to provide sufficient quality of results at reasonable computational costs. To estimate problem complexity and evaluate optimization algorithm performance, the definitions for information entropy and the related performance index are extended. The insights gained from various simulation-based optimization experiments and their subsequent analysis help characterize the efficiency of the optimization problem formulation and parameterization, as well as optimization algorithm selection with respect to parallel computation capabilities for further development of the model and optimization framework.
THE EFFECT OF USING DIFFERENT LEVELS OF MANGO SEED KERNEL ON DIGESTION COEFFICIENTS, RUMEN FERMENTATION AND METHANE EMISSION IN SHEEP DIET

SUMMARY he purpose of this study was to determine the optimal ratio for improved dietary utilization by evaluating the effects of varying levels of mango seed kernel added to sheep diets on the nutritional value, digestion coefficients, and rumen fermentation. Four concentrate feed mixtures (CFM) were used to feed the Barki sheep: the first had a basal diet without mango seed kernels (MSK), the second had 5% MSK, the third had 10% MSK, and the fourth had 20% MSK. Using fully grown rams, the parameters of digestion were estimated, while rumen fermentation, the breakdown of dry and organic matters, and methane production using three ewes with rumen fistulas. The following are the outcomes:
Effectiveness of an Educational Program about Iatrogenic Skin Afflictions on Pediatric Nurses' Performance and Neonates' Clinical Outcomes

Background : Neonates, inherently vulnerable due to low birth weight, physiological immaturity, and extensive medication exposure, are at an increased risk of iatrogenic skin harm . Aim of the study: The study aimed to evaluate effectiveness of an educational program on iatrogenic skin afflictions, focusing on pediatric nurses' performance and neonates' clinical outcomes. Methods: Conducted at the Neonatal Intensive Care Unit (NICU) of Aswan University hospital, the quasi-experimental study involved a convenient sample of 55 nurses and 39 neonates admitted within one month. Data collection utilized three tools: a structured interview questionnaire encompassing biosocial data and nurses' knowledge, an observation checklist to assess nurse practices regarding iatrogenic skin affliction, and an assessment of neonate clinical outcomes. Results: Post-educational program, the study revealed significant improvements in both nurses' knowledge and practices. Statistically significant differences were observed in nurses' knowledge and practices before, immediately after, and one month after the educational program. Conclusion: Implementation of an educational program addressing skin injuries resulted in improved nurses' performance in Neonatal Intensive Care Units. Integrating preventive care measures for acquired skin injuries into routine neonatal care is highly recommended. Practical Implications: Highlighting neonatal vulnerability to iatrogenic skin issues, the NICU education program proved crucial for nurses. Post-program, enhanced knowledge and practices were noted, emphasizing the practical significance of targeted education to mitigate iatrogenic risks in neonatal care settings. for targeted neonatal education to mitigate iatrogenic risks
Tourist Attraction and the Uniqueness of Resources on Tourist Destination in West Java, Indonesia

Results of a preliminary study on tourist destinations, West Java showed a decline in revenue from the tourism sector, tourist arrivals, investments hospitality and restaurant, as well as the number of tourists. This study aimed to assess the condition of tourist attraction and uniqueness of resources at the tourist destinations in West Java. The units of analysis in this study were thirty attractions in West Java. The data source consists of primary and secondary data collected from two groups of respondents, specifically managers of attractions and tourists as much as 384 respondents. Hypothesis testing was verification using the PLS. The results showed that the tourist destinations in West Java have not adopted and developed several strategic aspects, especially from behavioral characteristics of the trip and elements, which is a tourist attraction with factors of long travel time, length of stay and the role of the travel company. The uniqueness of resources at the tourist destinations in West Java needs to be improved from the aspects of reputation, technology, culture, and communication. The results also revealed that in order to produce good performance in tourism, it is necessary to integrate the unique resources and the attractiveness of the tourist destinations in West Java.
Preparation, In-vitro, and Ex-vivo Evaluation of Ondansetron Loaded Invasomes for Transdermal Delivery

Invasomes are newly developed types of nanovesicles. A vesicular drug delivery system is considered one of the approaches for transdermal delivery to enhance permeation and improve drug bioavailability. Ondansetron is a serotonin receptor antagonist used for treating vomiting associated with different clinical cases. The study aimed to prepare invasomal dispersions for improving permeation of ondansetron across the skin with a controlled release pattern. Twenty-seven formulas of ondansetron-loaded invasomes were prepared by a modified mechanical dispersion method. These formulas were optimized by studying the effect of variables on entrapment efficiency. Vesicle size, polydispersity, zeta potential, in-vitro release and ex-vivo permeation studies were done for the optimized formulas. The selected formula was )F25( had )88.24%±0.04 (entrapment, (317.7 nm) vesicle size, (0.29) polydispersity, and (-31.5mV) zeta potential. In-vitro release study showed That (F25) had 75% release after (12) hrs. , and dissolution followed the Korsmeyer-Peppas model with anomalous diffusion. Ex-vivo permeation study showed steady-state flux was 340.2 µg/cm2.hr with no lag time using rat skin tissue. A transmission electron microscope was done to visualize the selected formula. Invasomes are considered promising drug delivery systems for transdermal delivery of ondansetron, ensuring efficient permeation with a sustained release pattern.
Autism Spectrum Disorder Prediction in Children Using Machine Learning

Life symptoms associated with autism spectrum disorder (ASD) typically manifest during childhood and persist into adolescence and adulthood. ASD, which can be caused by genetic or environmental factors, can be significantly improved through early detection and treatment. Currently, standardized clinical tests are the primary diagnostic method for ASD. However, these tests are time consuming and expensive. Early detection and intervention are pivotal in enhancing the long-term prospects of children diagnosed with ASD. Machine-learning (ML) techniques are being utilized alongside conventional methods to improve the accuracy and efficiency of ASD diagnosis. Therefore, the paper aims to explore the feasibility of employing support vector machines, random forest classifier, naïve Bayes, logistic regression (LR), K-nearest neighbor, and decision tree classification models on our dataset to construct predictive models for predicting and analyzing ASD problems across different age groups: children, adolescents, and adults. The proposed techniques are assessed using publicly available nonclinical ASD datasets of three distinct datasets. The four ASD datasets, namely toddlers, adolescents, children, and adults, were obtained from publicly available repositories, specifically Kaggle and UCI ML. These repositories provide a valuable data source for research and analysis related to ASD. Our main objective is to identify the susceptibility to ASD in children during the early stages, thereby streamlining the diagnosis process. Based on our findings, LR demonstrated the highest accuracy for the selected dataset.