Purpose: To predict the presence of tractional retinal detachment (TRD) in eyes with dense vitreous hemorrhage (VH) and proliferative diabetic retinopathy (PDR) by evaluating the status of posterior vitreous detachment (PVD) in fellow eyes using optical coherence tomography (OCT). Methods: A total of 44 eyes from 22 patients who underwent vitrectomy due to dense VH with PDR were enrolled. Using OCT, the PVD status in the fellow eye was divided into two groups (incomplete and complete PVD). The incomplete PVD group included eyes without PVD and eyes with partial PVD. B-scan ultrasonography was performed on eyes with dense VH to evaluate the presence of TRD. Both OCT and B-scan images were reviewed by four ophthalmologists (two novices and two experienced), and the interobserver agreement was evaluated. Results: There was a difference in the interobserver agreement regarding the presence of TRD in eyes with dense VH evaluated by B scan between novice and experienced ophthalmologists (novice, κ = 0.421 vs. experienced, κ = 0.814), although there was no difference between novice and experienced ophthalmologists in the interobserver agreement regarding the status of PVD in the fellow eye evaluated by OCT (novice, κ = 1.000 vs. experienced, κ = 1.000). All observed TRD during vitrectomy occurred in eyes with incomplete PVD in the fellow eye. Logistic regression analysis revealed a statistically significant relation between TRD and the age of the patient (odds ratio [OR], 0.874; p = 0.047), and between TRD and incomplete PVD in the fellow eye evaluated by OCT (OR, 13.904; p = 0.042). Conclusions Evaluation of the PVD status in the fellow eye using OCT may be a useful predictor for detecting the presence of TRD in eyes with dense VH and PDR.

Neurocritical patients who can self-report pain use the 0-10 numerical rating scale (NRS, verbal or visual form). However, critically ill patients whose nervous systems cannot express pain use the behavioral pain scale (BPS) and the critical care pain observation tool (CPOT) behavioral pain assessment tools. These tools reveal pain-related changes in movement, facial expression, posture, and physiological indicators such as heart rate, blood pressure, and respiratory rate. In pain control, it is first essential to reduce unnecessary painkillers through non-drug therapy and maximize the effect of the administered analgesics. For nonneuropathic pain, narcotic analgesics such as fentanyl, hydromorphone, morphine, and remifentanil are administered intravenously. Gabapentin, pregabalin, and carbamazepine are recommended along with narcotic analgesics for neuropathic pain control. In addition, nonnarcotic analgesics for multi-modal analgesia are used to reduce the use of narcotic analgesics or the side effects of narcotic analgesics. In the intensive care unit (ICU), the sedation-agitation scale (SAS) and the Richmond agitation-sedation scale (RASS) are used to determine the depth of sedation to be maintained during shallow or deep sedation, considering the condition of the critically ill patient. When selecting sedatives for critically ill patients, preferentially consider nonbenzodiazepines such as propofol or dexmedetomidine rather than benzodiazepines such as midazolam or lorazepam. In addition, patients use painkillers or sedatives for over a week, and neurological changes or physiological dependence may occur. Therefore, clinicians should evaluate the critically ill patient’s condition, and sedatives and painkillers should be reduced or discontinued.

An endolichenic fungus,Xylaria grammica strain EL000614, showed strong nematicidal effects against plant pathogenic nematode, Meloidogyne incognita by producing grammicin. We report genome assembly of X. grammica EL000614 comprised of 25 scaffolds with a total length of 54.73 Mb, N50 of 4.60 Mb, and 99.8% of BUSCO completeness. GC contents of this genome were 44.02%. Gene families associated with biosynthesis of secondary metabolites or regulatory proteins were identified out of 13,730 gene models predicted.

An endolichenic fungus, Xylaria grammica strain EL000614, showed strong nematicidal effects against plant pathogenic nematode, Meloidogyne incognita by producing grammicin.We report genome assembly of X. grammica EL000614 comprised of 25 scaffolds with a total length of 54.73 Mb, N50 of 4.60 Mb, and 99.8% of BUSCO completeness. GC contents of this genome were 44.02%. Gene families associated with biosynthesis of secondary metabolites or regulatory proteins were identified out of 13,730 gene models predicted.

An endolichenic fungus Xylaria grammica EL000614 produces grammicin, a potent nematicidal pyrone derivative that can serve as a new control option for root-knot nematodes. We optimized an Agrobacterium tumefaciens-mediated transformation (ATMT) protocol for X.grammica to support genetic studies. Transformants were successfully generated after co-cultivation of homogenized young mycelia of X.grammica with A. tumefaciens strain AGL-1 carrying a binary vector that contains the bacterial hygromycin B phosphotransferase (hph) gene and the eGFP gene in T-DNA. The resulting transformants were mitotically stable, and PCR analysis showed the integratin of both genes in the genome of transformants.Expression of eGFP was confirmed via fluorescence microscopy. Southern analysis showed that 131 (78.9%) out of 166 transformants contained a single T-DNA insertion. Crucial factors for producing predominantly single T-DNA transformants include 48 h of co-cultivation, pretreatment of A. tumefaciens cells with acetosyringone before co-cultivation, and using freshly prepared mycelia. The established ATMT protocol offers an efficient tool for random insertional mutagenesis and gene transfer in studying the biology and ecology ofX.grammica.

An endolichenic fungus,Xylaria grammica strain EL000614, showed strong nematicidal effects against plant pathogenic nematode, Meloidogyne incognita by producing grammicin. We report genome assembly of X. grammica EL000614 comprised of 25 scaffolds with a total length of 54.73 Mb, N50 of 4.60 Mb, and 99.8% of BUSCO completeness. GC contents of this genome were 44.02%. Gene families associated with biosynthesis of secondary metabolites or regulatory proteins were identified out of 13,730 gene models predicted.

An endolichenic fungus, Xylaria grammica strain EL000614, showed strong nematicidal effects against plant pathogenic nematode, Meloidogyne incognita by producing grammicin.We report genome assembly of X. grammica EL000614 comprised of 25 scaffolds with a total length of 54.73 Mb, N50 of 4.60 Mb, and 99.8% of BUSCO completeness. GC contents of this genome were 44.02%. Gene families associated with biosynthesis of secondary metabolites or regulatory proteins were identified out of 13,730 gene models predicted.

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.

Purpose: To evaluate the association between long-term glycated hemoglobin A (HbA1c) variability and treatment outcomes ofanti-vascular endothelial growth factor (VEGF) injection in diabetic macular edema patients. Methods: The medical records of 49 eyes (38 patients) that received anti-VEGF injection for diabetic macular edema were reviewedretrospectively. Best-corrected visual acuity (BCVA) and central macular thickness (CMT) before injection and at onemonth and six months after injection were analyzed. HbA1c variability (HbA1c coefficient of variation [CV]) was calculated usingthe HbA1c results from the year prior to (before) and the year after injection and compared with clinical results. Results: In the group with a low mean HbA1c level before injection, the group with lower HbA1c CV showed greater reduction inmacular edema one month after injection (low HbA1c CV, 122.4 ± 123.2 μm versus high HbA1c CV, 5.2 ± 37.0 μm, p= 0.027).In the group with high mean HbA1c, there was no significant difference between HbA1c variability and clinical features. In a multivariateanalysis, the factor related to the reduction of macular edema was initial CMT (one month adjusted hazard ratio (aHR)0.5, p< 0.001; six months aHR 0.3, p= 0.023). The factor associated with visual gain was initial visual acuity (LogMAR) (onemonth aHR 0.4, p< 0.001; six months aHR 0.4, p< 0.001). The association between mean HbA1c or HbA1c variability and clinicaloutcome was not significant. Conclusions Unlike initial CMT or BCVA, mean HbA1c and HbA1c variability were not significantly associated with clinical outcomesof anti-VEGF injection in diabetic macular edema patients.

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.