PURPOSE: The purpose of this study is to verify the validity and reliability of the the Inner Strength Questionnaire-Korean version (ISQ-K). METHODS: The questionnaire was provided to breast cancer survivors in two Cancer centers in Gyeonggi, Korea and 167 surveys were analyzed. Data were analyzed by CVI for contents validity, confirmative factor analysis for construct validity and correlation for criteria validity. Test-retest analysis and Cronbach's α was calculated for reliability. RESULTS: Content validity was excellent. Confirmative factor analysis was performed on 4 factors based on the original structures and the goodness-of-fit was as followed: χ2=784.01, df=318, RMSEA=.09, TLI=.78, CFI=.72, GFI=.72. Standard errors of variance ranged from 0.06 to 0.15. Inner strength was correlated positively with resilience (r=.47, p<.001). Test-retest reliability was 0.90 and internal consistency was indicated by Cronbach alphas of 0.85 for inner strength. CONCLUSION: We conclude that the ISQ-K would be a valuable tool in evaluating inner strength among breast cancer survivors.
Breast Neoplasms ; Gyeonggi-do ; Humans ; Korea ; Psychometrics* ; Quality of Life ; Reproducibility of Results ; Survivors

Takayasu's arteritis (TA), a granulomatous vasculitis, affects the aorta and its major branches. Glucocorticoids are an effective treatment for patients with active TA, but some patients fail to achieve or maintain remission with the conventional therapy, and side effects resulting from long-term glucocorticoid therapy are potentially serious. Anti-tumor necrosis factor-alpha agents, such as infliximab, may be efficient in patients with refractory TA. We report on a 24-year-old female patient with refractory TA who was treated successfully with infliximab. Clinical remission was induced as determined by repeated 18F-fluoro-2-deoxy-D-glucose positron emission tomography scans combined with assay of serological inflammatory markers.
Antibodies, Monoclonal ; Aorta ; Female ; Glucocorticoids ; Humans ; Necrosis ; Positron-Emission Tomography ; Takayasu Arteritis* ; Vasculitis ; Young Adult ; Infliximab

Background: As the number of large-scale studies involving multiple organizations producing data has steadily increased, an integrated system for a common interoperable format is needed. In response to the coronavirus disease 2019 (COVID-19) pandemic, a number of global efforts are underway to develop vaccines and therapeutics. We are therefore observing an explosion in the proliferation of COVID-19 data, and interoperability is highly requested in multiple institutions participating simultaneously in COVID-19 pandemic research. Results: In this study, a laboratory information management system (LIMS) approach has been adopted to systemically manage various COVID-19 non-clinical trial data, including mortality, clinical signs, body weight, body temperature, organ weights, viral titer (viral replication and viral RNA), and multiorgan histopathology, from multiple institutions based on a web interface. The main aim of the implemented system is to integrate, standardize, and organize data collected from laboratories in multiple institutes for COVID-19 non-clinical efficacy testings. Six animal biosafety level 3 institutions proved the feasibility of our system. Substantial benefits were shown by maximizing collaborative high-quality non-clinical research. Conclusions This LIMS platform can be used for future outbreaks, leading to accelerated medical product development through the systematic management of extensive data from non-clinical animal studies.

Viral load and the duration of viral shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are important determinants of the transmission of coronavirus disease 2019.In this study, we examined the effects of viral doses on the lung and spleen of K18-hACE2 transgenic mice by temporal histological and transcriptional analyses. Approximately, 1×105 plaque-forming units (PFU) of SARS-CoV-2 induced strong host responses in the lungs from 2 days post inoculation (dpi) which did not recover until the mice died, whereas responses to the virus were obvious at 5 days, recovering to the basal state by 14 dpi at 1×102 PFU. Further, flow cytometry showed that number of CD8+ T cells continuously increased in 1×102 PFU-virusinfected lungs from 2 dpi, but not in 1×105 PFU-virus-infected lungs. In spleens, responses to the virus were prominent from 2 dpi, and number of B cells was significantly decreased at 1×105PFU; however, 1×102 PFU of virus induced very weak responses from 2 dpi which recovered by 10 dpi. Although the defense responses returned to normal and the mice survived, lung histology showed evidence of fibrosis, suggesting sequelae of SARS-CoV-2 infection. Our findings indicate that specific effectors of the immune response in the lung and spleen were either increased or depleted in response to doses of SARS-CoV-2. This study demonstrated that the response of local and systemic immune effectors to a viral infection varies with viral dose, which either exacerbates the severity of the infection or accelerates its elimination.

This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.

This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.