346 research outputs found
Changes in subsurface chlorophyll-a maximum in the Canada Basin, 2003-2019
The Tenth Symposium on Polar Science/Ordinary sessions: [OB] Polar Biology, Wed. 4 Dec. / 3F Multipurpose conference room, National Institute of Polar Researc
Crystal Growth of BiSrCaCuO Whiskers from Pulverized Amorphous Precursors
High-transition temperature superconducting whiskers of
BiSrCaCuO were successfully grown from
pulverized amorphous precursors. The obtained whiskers revealed a typical
composition and diffraction patterns of a superconducting Bi-2212 phase. The
whiskers from tiny precursors exhibit a spiral feature, suggesting a
contribution from the growth mechanism of both vapor-liquid-solid and
compressive stress models. The proposed method provides longer whiskers against
the growth period, compared with that from conventional root-growth method
A Case of Dominant Dystrophic Epidermolysis Bullosa with a G2043R Mutation in the Type VII Collagen Gene
Dystrophic epidermolysis bullosa (DEB) is a subepidermal
bulla, characterized by severe itching, lichenoid
or nodular prurigo-like lesions, skin erosion,
scars, milia, and nail dystrophy, resulting from COL7A1
mutation. Herein, we report a case of dominant DEB
with a G2043R mutation in COL7A1
Development of a preoperative prediction model for new-onset diabetes mellitus after partial pancreatectomy
ABSTRACT: Pancreatectomy is an invasive surgery that is sometimes associated with complications. New-onset diabetes mellitus sometimes develops after partial pancreatectomy and severely affects the patient's quality of life. This study aimed to develop a preoperative prediction model of new-onset diabetes mellitus after partial pancreatectomy, which will help patients and surgeons to achieve more easily better common decisions on regarding whether to perform partial pancreatectomy. This retrospective cohort study analyzed medical records of patients who underwent partial pancreatectomy (total pancreatectomy excluded) from April 1, 2008, to February 28, 2016, which were available in the database provided by Medical Data Vision Co., Ltd. (Tokyo, Japan). The predictors were preoperative age, body mass index, hemoglobin A1c level, blood glucose level, and indication for partial pancreatectomy. The outcome was the development of new-onset diabetes mellitus at 1 to 12 months after partial pancreatectomy. We used a logistic regression model and calculated the scores of each predictor. To determine test performance, we assessed discrimination ability using the receiver operating characteristic curve and calibration with a calibration plot and the Hosmer-Lemeshow test. We also performed internal validation using the bootstrap method. Of 681 patients, 125 (18.4%) had new-onset diabetes mellitus after partial pancreatectomy. The developed prediction model had a possible range of 0 to 46 points. The median score was 13, and the interquartile range was 9 to 22. The C-statistics of the receiver operating characteristic curve on the score to predict the outcome was .70 (95% confidence interval [CI], .65-.75). Regarding the test performance, the Hosmer-Lemeshow test was not significant (P = .17), and calibration was good. In the bootstrapped cohorts, the C-statistics was .69 (95% CI, .62-.76). We developed a preoperative prediction model for new-onset diabetes mellitus after partial pancreatectomy. This would provide important information for surgeons and patients when deciding whether to perform partial pancreatectomy
回復期リハビテーション病棟の看護師を対象とした退院支援教育プログラムの開発と評価
愛知県立大学2018年
Data-driven Exploration of New Pressure-induced Superconductivity in PbBiTe with Two Transition Temperatures
Candidates compounds for new thermoelectric and superconducting materials,
which have narrow band gap and flat bands near band edges, were exhaustively
searched by the high-throughput first-principles calculation from an inorganic
materials database named AtomWork. We focused on PbBiTe which has the
similar electronic band structure and the same crystal structure with those of
a pressure-induced superconductor SnBi2Se4 explored by the same data-driven
approach. The PbBiTe was successfully synthesized as single crystals
using a melt and slow cooling method. The core level X-ray photoelectron
spectroscopy analysis revealed Pb2+, Bi3+ and Te2- valence states in
PbBiTe. The thermoelectric properties of the PbBiTe sample were
measured at ambient pressure and the electrical resistivity was also evaluated
under high pressure using a diamond anvil cell with boron-doped diamond
electrodes. The resistivity decreased with increase of the pressure, and two
pressure-induced superconducting transitions were discovered at 3.4 K under
13.3 GPa and at 8.4 K under 21.7 GPa. The data-driven approach shows promising
power to accelerate the discovery of new thermoelectric and superconducting
materials
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