Recent sediment accumulation rates are 18-230 mg cm\ yr\ (0.02-0.2 cm yr\) based on excess Pb activity profiles in the southwestern part of the East Sea (Sea of Japan). Assuming no mixing beneath surface mixed layers, Pb-derived sediment accumulation rates are 18-32 mg cm\ yr\ in the northern part of the Yamato Ridge and the Ulleung Basin, 29-136 mg cm\ yr\ in the Korea Plateau, and 230 mg cm\ yr\ in the southern shelf. These values generally agree with long-term sedimentation rates estimated from dated ash layers.

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Impressive clinical efficacy of chimeric antigen receptor (CAR)-engineered T cell therapy for hematological malignancies have prompted significant efforts in achieving similar responses in solid tumors. The lack of truly restricted and uniform expression of tumor-associated antigens, as well as limited T cell persistence and/or tumor trafficking pose major challenges for successful translation of CAR T cell therapy in solid tumors. Recent studies have demonstrated that aberrantly glycosylated cell surface proteins on tumor cells are amenable CAR targets. Tumor-associated glycoprotein 72 (TAG72) antigen is the sialyl-Tn found on multiple O-glycoproteins expressed at high levels on the surface of several cancer types, including ovarian cancer. Here, we developed a humanized TAG72-specific CAR containing a 4-1BB intracellular co-stimulatory signaling domain (TAG72-BBζ). TAG72-BBζ CAR T cells showed potent antigen-dependent cytotoxicity and cytokine production against multiple TAG72+ ovarian cancer cell lines and patient-derived ovarian cancer ascites. Using in vivo xenograft models of peritoneal ovarian tumors, regional intraperitoneal delivery of TAG72-BBζ CAR T cells significantly reduced tumor growth, extended overall survival of mice, and was further improved with repeat infusions of CAR T cells. However, reduced TAG72 expression was observed in early recurring tumors, which coincided with a lack of T cell persistence. Taken together, we demonstrate efficacy with TAG72-CAR T cells in ovarian cancer, warranting further investigations as a CAR T cell therapeutic strategy for this disease.

We report a C-F reductive elimination from a characterized first-row aryl metal fluoride complex. Reductive elimination from the presented nickel(III) complexes is faster than C-F bond formation from any other characterized aryl metal fluoride complex.

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We sought to determine whether tactile train-of-four (TOF) count can predict the efficacy of neostigmine administration for rocuronium-induced blockade during propofol or sevoflurane anesthesia, and to follow subsequent recovery until the TOF ratio reached 0.9. One-hundred-sixty patients, divided into eight equal groups, were randomly allocated to maintenance of anesthesia with propofol or sevoflurane. The tactile response of the adductor pollicis to TOF stimulation was evaluated on one arm, and the mechanomyographic response was recorded on the other. Neuromuscular block was induced with rocuronium 0.6 mg/kg and maintained with rocuronium to 15% of the control first twitch in TOF. Neostigmine 0.07 mg/kg was administered on reappearance of the first (Group I), second (Group II), third (Group III), or fourth (Group IV) tactile TOF response in each anesthesia. At this time, sevoflurane or the propofol dosage was reduced in each group (n = 20 in each group). The times from administration of neostigmine until the TOF ratio recovered to 0.7, 0.8, and 0.9 were recorded. The times [median (range)] to TOF ratio = 0.9 were 8.6 (4.7-18.9), 7.5 (3.4-9.8), 5.4 (1.6-8.6), and 4.7 (1.3-7.2) min in Groups I-IV during propofol anesthesia, respectively, and 28.6 (8.8-75.8), 22.6 (8.3-57.4), 15.6 (7.3-43.9), and 9.7 (5.1-26.4) min in corresponding groups during sevoflurane anesthesia, respectively (P < 0.0001). We recommend more than 2 TOF responses with propofol anesthesia and 4 TOF responses with sevoflurane anesthesia for adequate reversal within 10 and 15 min, respectively. The more tactile TOF responses present at the time of reversal achieved greater adequate recovery; however, tactile TOF responses are not a completely reliable predictor within a reasonable time period.

BackgroundFactors affecting the quality of life (QOL) may be different between young and old stroke patients. However, these issues have not yet been properly investigated.MethodsWe identified 170 young-onset stroke patients (onset between 15 and 45 years of age) who were admitted to the Asan Medical Center. Three hundred and forty follow-up period matched, old-onset stroke patients (onset >45 years of age) were chosen as a control group. A follow-up interview was performed 1~5 years after the onset of stroke in 96 young patients and 160 old patients. With the use of standardized questionnaire, we assessed physical disabilities, activity of daily living (Barthel Index Score, modified Rankin scale), the presence of depression (using DSM IV criteria and Beck Depression Inventory) and socio-economic/job status. The QOL was assessed using the Stroke Specific QOL developed by Williams et al.ResultsThe QOL scores were significantly higher in young patients than in old ones. Univariate analysis showed that factors related to low QOL included unemployment, motor impairment, aphasia, dysarthria, dysaphagia and severe modified Rankin score in young patients while poor economic status, unemployment, supratentorial (vs. infratentorial) stroke, anterior (vs. posterior) circulation stroke, the presence of diabetes mellitus, motor impairment, aphasia, dysarthria, dysphagia, visual field defect, severe modified Rankin score, the presence of post-stroke seizures and depression were related to the low QOL in old patients. Cigarette smoking (in old patients) and alcohol drinking (in both young and old patients) were related to high QOL. Multiple regression analysis showed that modified Rankin score was the most important factor explaining low QOL in both groups, while other important factors included depression, visual field defect and anterior circulation stroke in old patients, and the motor dysfunction and dysarthria in young patients.ConclusionsWe conclude that aside from modified Rankin scale, factors affecting the quality of life are different between these two groups. Recognition of these differences may allow us to develop different strategies to improve the quality of life in stroke patients.