Miracle-dz/UniFAR-FTUs huggingface dataset:
European Journal of Educational Research

: In recent years, there is a growing number of Vietnamese students applying to study abroad at a younger age. Instead of waiting until adulthood, many Vietnamese parents decide to send their offspring to study abroad early from high school. This study was conducted to analyze the factors affecting the intention of Vietnamese parents to send their children to study abroad. The dataset includes 350 responses, in which parents of middle and high school students having the intention and willingness to send their children to study abroad are respondents. The research results show that perceived value, perceived risk, and three variables of the theory of planned behavior (TPB) model affect the intention to send their children to study abroad with the ability of explanation 53.4%. In detail, Attitude (influenced by Success, Modern self, and Traditional self) has the most significant influence (30.9%) on the dependent variable. On that basis, some suggestions are proposed for international educational organizations and study-abroad counseling centers to help them give the right orientation to Vietnamese parents about studying-abroad. Besides, proposing some recommendations for domestic educational institutions, international educational institutions, and educational management agencies in Vietnam, in order to improve the quality of education and training, creating an ideal learning environment that meets international standards for students, and simultaneously attracting international students to Vietnam.
Language Teaching Research Quarterly

Electronic service (e-service) learning has considerable potential to promote engagement and interactions between people by liberating spatial constraints. Due to the pandemic situation, ordinary face-to-face service learning was impossible, but there was an urgent need to support adolescent English learners in communities. In accordance with the community needs, this phenomenological study explored Korean EFL preservice teachers’ experiences and perceptions of e-service learning, focusing on the collaborative nature of learning. Based on this, we collected data from multiple sources (i.e., interviews, reflective reports, and artifacts) from 23 Korean preservice teachers majoring in English language education and conducted interviews with six teachers. The qualitative analysis of these data reveals that the Korean EFL preservice teachers seem to see four essential benefits and strengths of e-service learning: (1) the construction of their teacher identity, (2) the development of teaching-related skills, (3) the fulfillment of EFL learner needs, and (4) a social impact. They also addressed several challenges of e-service learning. Findings provide EFL teacher educators and researchers with valuable insights into e-service learning as part of teacher education.
Experiences of Dietetic Interns Taking a Trauma-Informed Care Educational Intervention

Trauma Informed Care (TIC) approaches recognize the impact of trauma on patients' health and their ability to engage in therapeutic relationships. TIC training should follow the same principles as students may have a trauma history. This educational intervention explored the experiences and attitude changes among dietetic interns (DIs) taking TIC training and developed recommendations for trauma-informed teaching practices. A multi-method interpretative phenomenological design was employed for this educational intervention. Semi-structured interviews were conducted with nine Hispanic female DIs completing their supervised practice at Veterans Affairs Caribbean Healthcare System (VACHS) dietetic internship program. The intervention consisted of three modules, and pre-and post-intervention surveys were administered. According to statistical analysis, four out of the eight statements showed signi�cant changes in attitude with a large effect size. The analysis revealed �ve main themes: 1) Change of attitude, where interns became more aware of implicit bias and personal identity; 2) The teaching approach was comfortable enough to share and discuss complex topics; 3) Inquiry-based learning, highlighting the value of topics for dietetic practice and self-reection; 4) Emotionally engaged, with interns experiencing various emotions and recognizing the importance of trigger warnings; 5) Recommendations for future training. This educational project contributes to the literature on TIC education among DIs. The �ndings emphasize the need for integrating TIC principles into TIC educational interventions and provide valuable insights into the safest methods for teaching TIC in dietetic internships. The recommendations derived from this project can guide the development of effective TIC teaching practices in healthcare education.
A LIQUEFACTION ANALYSIS OF SATURATED SAND GROUND BASED ON SHEAR WORKS

A simple formulation is proposed by using shear works to express the development of pore water pressure under cyclic stresses. The proposed formulation is derived from data of the cyclic triaxial tests with various confining stresses and relative densities on a saturated sand. The pore water pressure model can be easily coupled with a nonlinear model to perform the liquefaction analysis for saturated sand deposits. The analysis, called Ws method, is a simplified effective stress analysis, calculating pore water pressure every half cycle. The method is compared with a nonlinear effective analysis, which is called the equi-Wst-line method and evaluates the pore water pressure by every time step.
Annual Change in Fungal Concentrations and Allergic Sensitization Rates to Alternaria and Cladosporium in Korea During the Period 1998–2022

Purpose Atmospheric fungi are associated with respiratory allergies in humans, and some fungal spores can cause allergic diseases. Environmental and biological factors influence the concentrations of atmospheric spores. In this study, we evaluated the climate change-induced annual variations in fungal spore concentrations and allergic sensitization rates in the Seoul Metropolitan Area over a period of 25 years. Methods Fungal spores and pollen were obtained from Hanyang University Seoul and Guri Hospitals; they were identified and counted for 25 years (1998-2022). The study participants included patients who underwent tests for allergic diseases in both hospitals. Their allergenic sensitization rates were determined via allergic skin prick and serum tests, after which their sensitization rates to allergenic fungi and pollens were calculated. The daily climatic variables were obtained from the Korea Meteorological Administration. Results The total annual atmospheric fungal concentrations decreased in both areas during the period. Simultaneously, we recruited 21,394 patients with allergies (asthma, 1,550; allergic rhinitis, 5,983; and atopic dermatitis, 5,422) from Seoul and Guri Hospitals for allergenic fungal sensitization evaluations over the period. The allergenic fungal sensitization rates decreased annually in both areas over that time `+(Alternaria [3.5%] and Cladosporium [4.4%] in 1998; Alternaria [0.2%] and Cladosporium [0.2%] in 2022). In contrast, the annual pollen concentrations increased with the sensitization rates to pollen in children. Conclusions The atmospheric fungal concentrations decreased annually, with allergic sensitization rate decreasing over the period of 25 years. Allergenic fungal sporulation could decrease with climate changes, such as desertification and drought. Extended monitoring periods and further large-scale studies are required to confirm the causality and to evaluate the impact of climate change.
Evidence of Large Infrasonic Radiation Induced by Earthquake Interaction with Alluvial Sediments

The M w 5.9 Ferrara earthquake that struck northern Italy on 20 May 2012 was recorded with an infrasound array at a source‐to‐receiver distance of 300 km. The infrasound record revealed early and late detections characterized by large back‐azimuth variations, suggesting the existence of an extended area of infrasound radiation. Unlike most previous studies, the modeled area of maximum infrasound radiation appears to mimic an extended flat area (plain of the Po River) with no significant contributions from nearby mountain ranges. The ShakeMap of the earthquake and the map of the reported acoustic boom are in good agreement with the modeled area of infrasound radiation, suggesting how the transition of seismic waves into acoustic atmospheric waves is efficiently exciting infrasound recorded at far distances from the source. Such a result is in agreement with the significant seismic amplification within the Po plain alluvial sediments.
Comparison of Simulated and Reconstructed Temperature in China during the Last 500 Years

Climatic simulation experiments of long-term integration since the Little Ice Age by the use of the global atmosphere-ocean coupled climate model ECHO-G are introduced in this paper.The simulated temperature series were compared with the reconstructed temperature of China.There were two modeling experiments: control run and forced run.First,modeling result was compared with the observed data for examining the model ability of simulating the climate of China.Then the simulated temperature series were compared with the reconstructed 500-year temperature series in 10 regions of China.The analysis of mean value,variance and EOF showed that for the period from 1550 to the present, there are good correlations between the simulated and reconstructed series except for the regions of the Xinjiang,the Northeastern and the Southwestern China. The correlation confidences are greater than 90% for this period.For the period since 1760,most regions have good correlations with more than 90% confidence levels between simulations and reconstructions except for south,northwest,and southwest of China.This indicates that the climate model ECHO-G can simulate the temperature characteristics of the trends and low frequency changes in most regions of China,and the forcing factors used in the simulations are the main controlling factors for climate change during the last 500 years.However,the spatial differences of simulated temperature anomalies are less than that of reconstructions,and for shorter term variations,such as decadal and interannual changes,the model results are not consistent with the reconstructions very well.The errors may come from both the simulation and the reconstruction.For the reconstruction,the representation,accuracy,and reliability of proxies need to be improved.And for the simulation,more accurate forcing series and more forcing factors,such as land surface vegetation and industrial aerosols need to be drawn into the modeling.If much more work both in simulation and reconstruction are done,the evolution and mechanisms of Chinese historical climate can be deeply understood.
The Perth Empathy Scale: Psychometric Properties of the Polish Version and Its Mental Health Correlates

The Perth Empathy Scale (PES) is a 20-item self-report questionnaire that assesses people’s ability to recognize emotions in others (i.e., cognitive empathy) and vicariously experience other’s emotions (i.e., affective empathy), across positive and negative emotions. Originally developed in English, the aim of our study was to introduce the first Polish version of the PES and test its psychometric performance. Our sample was 318 people (184 females, 134 males) with ages ranging from 18 to 77. The factor structure was verified with confirmatory factor analysis. Reliability was tested in terms of internal consistency and test–retest reliability. To explore convergent, divergent, and discriminant validity, we examined relationships between the PES and measures of depression, anxiety, and emotional intelligence. It was shown that the scale was characterized by the intended four-factor solution, thus supporting factorial validity. The internal consistency reliability was also good and test–retest reliability was moderate. The convergent, divergent, and discriminant validity were strong. The clinical importance of assessing affective empathy across both positive and negative emotions was supported. Overall, our results therefore suggest that the Polish version of the PES has strong psychometric performance and clinical relevance as a measure of the multidimensional empathy construct.
Studying Sediment Sources in Small Watershed Using ~(137) Cs Tracing

The amount of 137 Cs of the 525 soil samples were analyzed on different landform units in a small watershed.The results showed:(1)The variations of the amount of 137 Cs on the different landform units are obvious ,which offered the scientific foundation to study soil erosion. (2)In addition, the sediment came from the gully slope mainly, occupying 72.4% of the total amount sediment in the watershed. (3)The 137 Cs technique measured net soil loss at each site rather than the total soil loss estimated by other methods, and thus provided better information on true erosion rates and sediment delivery. This is the special characteristics of 137 Cs technique, although the 137 Cs method is not perfect enough to estimate precisely erosion and deposition amount, the variation and trend of the relative erosion amounts could be described more accurately.
DYNAMICS OF TSUNAMI-AFFECTED SOIL PROPERTIES

Seawater inundation after the tsunami on December 26, 2004 changed the soil chemical properties of agricultural land along the coastal areas of Aceh, Indonesia. It was approximated that 90,000 ha of paddy fields, 25,000 ha of mixed gardens, and 90,000 ha of estate crops were inundated. The objective of this study was to study the changes in soil chemical properties on the selected areas affected by the tsunami and access constraints to crop performance. Twenty monitoring sites have been established to regularly assess soil chemical properties and crop performance. Crops which have been assessed include rice, corn, peanut, soybean, onion and chillies. At each site, composite soil samples were collected from 4 depths at 20 cm interval for selected soil chemical analyses. The level of soil salinity in tsunami-affected areas appears to be related to the duration of inundation by the sea water and the permeability of the soils. Soils that were inundated for up to 6 days after the tsunami appear to be more saline compared to those inundated for only 1-3 days. In most areas, soil salinity has returned to normal levels within less than one year period especially in areas with relatively high rainfall, sandy soils or peat soils. However, in areas where lateral water flows are prevented by damaged drainage systems, salinity is still too high for most crops (ECe>4 dS/m). Where farmers had access to irrigation water, the vegetative growth of rice crops established after the tsunami appeared unaffected, but grain formation has been severely affected causing up to 50% yield loss. The lack of grain formation on rice and empty pod of peanut appeared to be related to high soil salinity that cause osmotic stress and nutritional imbalance. The low Ca/Mg and K/(Ca+Mg) ratios, <5 for Ca/Mg ratio and <0.04 for K/(Ca+Mg) ratio, may have caused low P and K availability for plant uptake. Farmers are encouraged to apply inorganic fertilizers, especially potassium and phosphorus besides nitrogen, and organic matter from crop residues and manures to improve nutrient and water holding capacity of soils; improve soil structure to allow effective root development for non-rice crops.
Fgf2 and Ptpn11 play a role in cerebral injury caused by sevoflurane anesthesia

Sevoflurane is a new inhaled anesthetic, which has better physical properties than the existing inhalational anesthetics, rapid induction, less tissue uptake, and faster recovery. Sevoflurane can directly dilators cerebral blood vessels and increase cerebral blood flow, but it also reduces cerebral oxygen metabolism rate, thereby reducing cerebral blood flow. However, the role of Fgf2 and Ptpn11 in cerebral injury caused by sevoflurane anesthesia remains unclear. The sevoflurane anesthesia brain tissue datasets GSE139220 and GSE141242 were downloaded from gene expression omnibus (GEO). Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis (WGCNA) was performed. Construction and analysis of protein-protein interaction (PPI) Network. Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG), comparative toxicogenomics database (CTD) were performed. A heat map of gene expression was drawn. TargetScan was used to screen miRNAs regulating DEGs. 500 DEGs were identified. According to GO, in Biological Process analysis, they were mainly enriched in response to hypoxia, blood vessel development, inner ear development, neural tube closure, and aging. In Cellular Component (CC), they were mainly enriched in plasma membrane, integral component of membrane, and basal lamina. In Molecular Function (MF), they were mainly associated with protein binding, Wnt-activated receptor activity, and organic anion transmembrane transporter activity. In the KEGG analysis, they were mainly enriched in proteoglycans in cancer, pathways in cancer, transcriptional misregulation in cancer, basal cell carcinoma, thyroid hormone signaling pathway. In the Metascape enrichment analysis, the GO enrichment items revealed upregulated regulation of vascular endothelial cell proliferation, platelet-derived growth factor receptor signaling pathway, inner ear development, and response to hypoxia. A total of 20 modules were generated. Gene Expression Heatmap showed that the core genes (Fgf2, Pdgfra, Ptpn11, Slc2a1) were highly expressed in sevoflurane anesthesia brain tissue samples. CTD Analysis showed that the 4 core genes (Fgf2, Pdgfra, Ptpn11, Slc2a1) were associated with neurodegenerative diseases, brain injuries, memory disorders, cognitive disorders, neurotoxicity, drug-induced abnormalities, neurological disorders, developmental disorders, and intellectual disabilities. Fgf2 and Ptpn11 are highly expressed in brain tissue after sevoflurane anesthesia, higher the expression level of Fgf2 and Ptpn11, worse the prognosis.
Morphological Signal Processing for Phenotype Recognition of Human Pluripotent Stem Cells Using Machine Learning Methods

Human pluripotent stem cells have the potential for unlimited proliferation and controlled differentiation into various somatic cells, making them a unique tool for regenerative and personalized medicine. Determining the best clone selection is a challenging problem in this field and requires new sensing instruments and methods able to automatically assess the state of a growing colony (‘phenotype’) and make decisions about its destiny. One possible solution for such label-free, non-invasive assessment is to make phase-contrast images and/or videos of growing stem cell colonies, process the morphological parameters (‘morphological portrait’, or signal), link this information to the colony phenotype, and initiate an automated protocol for the colony selection. As a step in implementing this strategy, we used machine learning methods to find an effective model for classifying the human pluripotent stem cell colonies of three lines according to their morphological phenotype (‘good’ or ‘bad’), using morphological parameters from the previously published data as predictors. We found that the model using cellular morphological parameters as predictors and artificial neural networks as the classification method produced the best average accuracy of phenotype prediction (67%). When morphological parameters of colonies were used as predictors, logistic regression was the most effective classification method (75% average accuracy). Combining the morphological parameters of cells and colonies resulted in the most effective model, with a 99% average accuracy of phenotype prediction. Random forest was the most efficient classification method for the combined data. We applied feature selection methods and showed that different morphological parameters were important for phenotype recognition via either cellular or colonial parameters. Our results indicate a necessity for retaining both cellular and colonial morphological information for predicting the phenotype and provide an optimal choice for the machine learning method. The classification models reported in this study could be used as a basis for developing and/or improving automated solutions to control the quality of human pluripotent stem cells for medical purposes.
Bioactive Compounds from an Endophytic Pezicula sp. Showing Antagonistic Effects against the Ash Dieback Pathogen

A fungal endophyte originating from the Canary Islands was identified as a potent antagonist against the fungal phytopathogen Hymenoscyphus fraxineus, which causes the devastating ash dieback disease. This endophyte was tentatively identified as Pezicula cf. ericae, using molecular barcoding. Isolation of secondary metabolites by preparative high-performance liquid chromatography (HPLC) yielded the known compounds CJ-17,572 (1), mycorrhizin A (3) and cryptosporioptides A–C (4–6), besides a new N-acetylated dihydroxyphenylalanin derivative 2, named peziculastatin. Planar structures were elucidated by NMR and HRMS data, while the relative stereochemistry of 2 was assigned by H,H and C,H coupling constants. The assignment of the unknown stereochemistry of CJ-17,572 (1) was hampered by the broadening of NMR signals. Nevertheless, after semisynthetic conversion of 1 into its methyl derivatives 7 and 8, presumably preventing tautomeric effects, the relative configuration could be assigned, whereas comparison of ECD data to those of related compounds determined the absolute configuration. Metabolites 1 and 3 showed significant antifungal effects in vitro against H. fraxineus. Furthermore, 4–6 exhibited significant dispersive effects on preformed biofilms of S. aureus at concentrations up to 2 µg/mL, while the biofilm formation of C. albicans was also inhibited. Thus, cryptosporioptides might constitute a potential source for the development of novel antibiofilm agents.