An instrument for measuring scientific empathy in students’ disciplinary engagement: the scientific empathy index

A crucial component of disciplinary engagement for learners in science is that of scientific empathy—in other words, the metaphysical connection between the student and the object of study, as scientists embody when deeply engaged in their work. Scientific empathy is the factor that stimulates and maintains students’ desire to inquire and that elicits creative problem-solving in their “doing” science as a distinctive disposition from general empathy. As such, in this study, the scientific empathy index (SEI) was developed to measure these traits of scientific empathy. For this purpose, two-rounds of factor analyses were conducted in the preliminary and the main tests of SEI. To prove the validity of the main test, correlation and mediated analysis were additionally conducted between other problem-solving scales and Final SEI. The first-factor analysis was conducted on 1,048 elementary, middle, and high school students as a preliminary test for extracting SEI questions. Based on the preliminary test results, 956 K-12 students were newly recruited, and the validity of the main test was confirmed through a second-factor analysis. Through these analyses, it was identified that the scale comprised five factors: sensitivity, situational interest, scientific imagination, empathetic concern, and empathetic understanding of others. Each scientific empathy factor revealed both cognitive and affective process dimensions including individual and social interrelations of students’ empathy in doing science. SEI was more highly correlated than the general empathy scale in the process of creative problem-solving and science process skills. In addition, it was found to exhibit a mediating effect between creative problem-solving and scientific inquiry. These findings validate the newly developed SEI and how it contributes to providing science learners with a useful tool for quick and easy measurement of scientific empathy and its components for the empathized involvement process between the student and their research subject

Label-Noise Robust Diffusion Models

Conditional diffusion models have shown remarkable performance in various generative tasks, but training them requires large-scale datasets that often contain noise in conditional inputs, a.k.a. noisy labels. This noise leads to condition mismatch and quality degradation of generated data. This paper proposes Transition-aware weighted Denoising Score Matching (TDSM) for training conditional diffusion models with noisy labels, which is the first study in the line of diffusion models. The TDSM objective contains a weighted sum of score networks, incorporating instance-wise and time-dependent label transition probabilities. We introduce a transition-aware weight estimator, which leverages a time-dependent noisy-label classifier distinctively customized to the diffusion process. Through experiments across various datasets and noisy label settings, TDSM improves the quality of generated samples aligned with given conditions. Furthermore, our method improves generation performance even on prevalent benchmark datasets, which implies the potential noisy labels and their risk of generative model learning. Finally, we show the improved performance of TDSM on top of conventional noisy label corrections, which empirically proving its contribution as a part of label-noise robust generative models. Our code is available at: https://github.com/byeonghu-na/tdsm.Comment: Accepted at ICLR 202

Relationship between metformin use and mortality in tuberculosis patients with diabetes: a nationwide cohort study

Background/Aims To determine whether metformin, which is considered a host-directed therapy for tuberculosis (TB), is effective in improving the prognosis of patients with TB and diabetes mellitus (DM), who have higher mortality than those without DM. Methods This cohort study included patients who were registered as having TB in the National Tuberculosis Surveillance System. The medical and death records of matched patients were obtained from the National Health Information Database and Statistics Korea, respectively, and data from 2011 to 2017 were collected retrospectively. We classified patients according to metformin use among participants who used diabetes drugs for more than 28 days. The primary outcome was all-cause mortality during TB treatment. Double propensity score adjustment was applied to reduce the effects of confounding and multivariable Cox proportional hazard models were used to estimate adjusted hazard ratio (aHR) with 95% confidence interval (CI). Results The all-cause mortality rate during TB treatment was lower (9.5% vs. 12.4%, p < 0.01) in the metformin user group. The hazard of death due to all causes after double propensity score adjustment was also lower in the metformin user group (aHR 0.76, 95% CI 0.67–0.86, p < 0.01). There was no significant difference in mortality between metformin users and non-users for TB-related deaths (p = 0.22); however, there was a significant difference in the non-TB-related deaths (p < 0.01). Conclusions Metformin use in patients with TB–DM co-prevalence is associated with reduced all-cause mortality, suggesting the potential for metformin adjuvant therapy in these patients

The multiplex bead array approach to identifying serum biomarkers associated with breast cancer

Introduction Breast cancer is the most common type of cancer seen in women in western countries. Thus, diagnostic modalities sensitive to early-stage breast cancer are needed. Antibody-based array platforms of a data-driven type, which are expected to facilitate more rapid and sensitive detection of novel biomarkers, have emerged as a direct, rapid means for profiling cancer-specific signatures using small samples. In line with this concept, our group constructed an antibody bead array panel for 35 analytes that were selected during the discovery step. This study was aimed at testing the performance of this 35-plex array panel in profiling signatures specific for primary non-metastatic breast cancer and validating its diagnostic utility in this independent population. Methods Thirty-five analytes were selected from more than 50 markers through screening steps using a serum bank consisting of 4,500 samples from various types of cancer. An antibody-bead array of 35 markers was constructed using the Luminex (TM) bead array platform. A study population consisting of 98 breast cancer patients and 96 normal subjects was analysed using this panel. Multivariate classification algorithms were used to find discriminating biomarkers and validated with another independent population of 90 breast cancer and 79 healthy controls. Results Serum concentrations of epidermal growth factor, soluble CD40-ligand and proapolipoprotein A1 were increased in breast cancer patients. High-molecular-weight-kininogen, apolipoprotein A1, soluble vascular cell adhesion molecule-1, plasminogen activator inhibitor-1, vitamin-D binding protein and vitronectin were decreased in the cancer group. Multivariate classification algorithms distinguished breast cancer patients from the normal population with high accuracy (91.8% with random forest, 91.5% with support vector machine, 87.6% with linear discriminant analysis). Combinatorial markers also detected breast cancer at an early stage with greater sensitivity. Conclusions The current study demonstrated the usefulness of the antibody-bead array approach in finding signatures specific for primary non-metastatic breast cancer and illustrated the potential for early, high sensitivity detection of breast cancer. 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Exploration of empathy factors in the science and development of related scales

For a scientific educational approach toward empathy, this study newly defined empathy in science as “empathy with a problematic situation and other people.” In 6 competency frameworks, content related to empathy was extracted, and exploratory factor analysis was conducted through an online survey of 150 teachers. Three factors of empathy with other people and four factors of empathy with the problem situation were extracted. Based on this content, the study modified the Interpersonal Reactivity Index (IRI; Davis, 1980) for use in a scientific situation. This scale was applied to 357 high school students in Korea, and the scale’s validity was confirmed through exploratory factor analysis. Finally, scientific empathy with others was defined as the ability to understand the emotions, thoughts, feelings, and intentions of others and share their viewpoints with accurate emotional responses. And this consisted of perspective-taking in cognitive factor and empathic concern and empathic arousal in emotional empathy. Scientific empathy with the problem situation was defined as an intellectual mechanism deeply involved in the phenomenon of inquiry to clearly understand the scientific problem situation and to share the viewpoint. And this turned out to be perspective-taking and scientific imagination as cognitive factors

Current Status of Women's Health Nursing Practicum and Direction

PURPOSE: This study was done to examine current status of women&apos;s health nursing practicum and identify necessary core nursing skills in this practicum area. Moreover, one syllabus and evaluation sheets for women&apos;s health nursing clinical practicum at one university were reviewed. METHODS: A survey design was used with 81 educators who were teaching maternity or women&apos;s health nursing and its practicum. RESULTS: Most clinical sites for practicum were university hospitals (43.0%), women&apos;s hospitals (32.7%), or general hospitals (17.3%); but the majority (77.8%) of educators expressed difficulty in finding appropriate practicum places. Common teaching and learning methods were clinical guides for practicum (44.6%), e-learning content (30.2%), and simulation (23.6%). Core nursing skills for this practicum included assessment of stages of labor, preparation of uterine-fetal monitoring devices and interpretation of results, monitoring uterus and fetal activity, and performing Leopold&apos;s maneuver. For postpartum care, the following were included; postpartum fundal massage, assessment of breast engorgement, fundus height, and episiotomy sites, inserting urinary catheter, and teaching the use of patient-controlled analgesia. CONCLUSION: To improve the quality of clinical practicum, development of a clear course syllabus, standardized clinical guidebook, and core nursing skills is required and should be shared with all relevant nurse educators

Exploration of empathy factors in the science and development of related scales

<p>For a scientific educational approach toward empathy, this study newly defined empathy in science as “empathy with a problematic situation and other people.” In 6 competency frameworks, content related to empathy was extracted, and exploratory factor analysis was conducted through an online survey of 150 teachers. Three factors of empathy with other people and four factors of empathy with the problem situation were extracted. Based on this content, the study modified the Interpersonal Reactivity Index (IRI; Davis, 1980) for use in a scientific situation. This scale was applied to 357 high school students in Korea, and the scale’s validity was confirmed through exploratory factor analysis. Finally, <i>scientific empathy with others</i> was defined as the ability to understand the emotions, thoughts, feelings, and intentions of others and share their viewpoints with accurate emotional responses. And this consisted of perspective-taking in cognitive factor and empathic concern and empathic arousal in emotional empathy. <i>Scientific empathy with the problem situation</i> was defined as an intellectual mechanism deeply involved in the phenomenon of inquiry to clearly understand the scientific problem situation and to share the viewpoint. And this turned out to be perspective-taking and scientific imagination as cognitive factors.</p

Vacant House Characteristics by Use Area and Their Application to Sustainable Community

The problem of vacant houses is important to identify its causes and then solve it. This study aims to determine the factors affecting the occurrence of vacant houses and examines their influence. The results highlight that the residential environment, population, social, physical environment, and geographic factors are statistically significant for the residential areas&rsquo; vacant house occurrence, but physical environmental was not significant for the commercial area vacant house occurrence; however, the individual building factor was significant. In residential areas, if the housing itself becomes obsolete or the area is outdated, people often depart from the area, leaving behind empty houses. In the commercial area, it is possible to decrease the number of vacant houses by converting old houses into shops in line with revitalizing a commercial district; a decrease in the number of businesses can be interpreted as a decline in commercial districts and an increase in vacant houses

Statins induce insulin-degrading enzyme secretion from astrocytes via an autophagy-based unconventional secretory pathway

Background Insulin degrading enzyme (IDE) is a major protease of amyloid beta peptide (Aβ), a prominent toxic protein in Alzheimers disease (AD) pathogenesis. Previous studies suggested that statins promote IDE secretion; however, the underlying mechanism is unknown, as IDE has no signal sequence. Results In this study, we found that simvastatin (0.2 μM for 12 h) induced the degradation of extracellular Aβ40, which depended on IDE secretion from primary astrocytes. In addition, simvastatin increased IDE secretion from astrocytes in a time- and dose-dependent manner. Moreover, simvastatin-mediated IDE secretion was mediated by an autophagy-based unconventional secretory pathway, and autophagic flux regulated simvastatin-mediated IDE secretion. Finally, simvastatin activated autophagy via the LKB1-AMPK-mTOR signaling pathway in astrocytes. Conclusions These results demonstrate a novel pathway for statin-mediated IDE secretion from astrocytes. Modulation of this pathway could provide a potential therapeutic target for treatment of Aβ pathology by enhancing extracellular clearance of Aβ

ATG101 Degradation by HUWE1-Mediated Ubiquitination Impairs Autophagy and Reduces Survival in Cancer Cells

Autophagy is a critical cytoprotective mechanism against stress, which is initiated by the protein kinase Unc-51-like kinase 1 (ULK1) complex. Autophagy plays a role in both inhibiting the progression of diseases and facilitating pathogenesis, so it is critical to elucidate the mechanisms regulating individual components of the autophagy machinery under various conditions. Here, we examined whether ULK1 complex component autophagy-related protein 101 (ATG101) is downregulated via ubiquitination, and whether this in turn suppresses autophagy activity in cancer cells. Knockout of ATG101 in cancer cells using CRISPR resulted in severe growth retardation and lower survival under nutrient starvation. Transfection of mutant ATG101 revealed that the C-terminal region is a key domain of ubiquitination, while co-immunoprecipitation and knockdown experiments revealed that HECT, UBA and WWE domain containing E3 ubiquitin protein ligase 1(HUWE1) is a major E3 ubiquitin ligase targeting ATG101. Protein levels of ATG101 was more stable and the related-autophagy activity was higher in HUWE1-depleted cancer cells compared to wild type (WT) controls, indicating that HUWE1-mediated ubiquitination promotes ATG101 degradation. Moreover, enhanced autophagy in HUWE1-depleted cancer cells was reversed by siRNA-mediated ATG101 knockdown. Stable ATG101 level in HUWE1-depleted cells was a strong driver of autophagosome formation similar to upregulation of the known HUWE1 substrate WD repeat domain, phosphoinositide interacting 2 (WIPI2). Cellular survival rates were higher in HUWE1-knockdown cancer cells compared to controls, while concomitant siRNA-mediated ATG101 knockdown tends to increase apoptosis rate. Collectively, these results suggest that HUWE1 normally serves to suppress autophagy by ubiquitinating and triggering degradation of ATG101 and WIPI2, which in turn represses the survival of cancer cells. Accordingly, ATG101-mediated autophagy may play a critical role in overcoming metabolic stress, thereby contributing to the growth, survival, and treatment resistance of certain cancers