Predicting Directions of Changes in Genotype Proportions Between Norovirus Seasons in Japan

The norovirus forecasting system (NOROCAST) has been developed for predicting directions of changes in genotype proportions between human norovirus (HuNoV) seasons in Japan through modeling herd immunity to structural protein 1 (VP1). Here 404 nearly complete genomic sequences of HuNoV were analyzed to examine whether the performance of NOROCAST could be improved by modeling herd immunity to VP2 and non-structural proteins (NS) in addition to VP1. It was found that the applicability of NOROCAST may be extended by compensating for unavailable sequence data and observed genotype proportions of 0 in each season. Incorporation of herd immunity to VP2 and NS did not appear to improve the performance of NOROCAST, suggesting that VP1 may be a suitable target of vaccines

Nonvanishing string tension of elastic membrane models

By using the grand canonical Monte Carlo simulations on spherical surfaces with two fixed vertices separated by the distance L, we find that the second-order phase transition changes to the first-order one when L is sufficiently large. We find that string tension \sigma \not= 0 in the smooth phase while \sigma \to 0 in the wrinkled phase.Comment: 10 pages with 6 figure

サイセンタン ノ サンジゲン イメージング システム : シンゾウ ケッカン ゲカ ニオケル Virtual Reality ギジュツ ノ ユウヨウセイ

滋賀医科大学心臓血管外科では医療用画像を三次元構築し、臓器を立体表示するVirtual Reality (VR) 技術を用いて心臓血管系の3D解析研究を進めている。VRでは臓器の内腔を可視化することができ、また3D構築した画像に直接介入し、従来の2D解析では評価困難であった複雑な構造も術者の視点で直観的に計測できるという利点がある。あらゆる医療画像データを三次元化し, かつ直感的な立体計測が可能なVR技術は, これまでの診断精度を上回る形態学的な情報を臨床医に提示し得ると考えられる。特に外科医にとって有用な手術支援VR画像は, 難易度が高い手術の治療成績を向上させる可能性が高い。Adequate preoperative planning may facilitate successful procedures in cardiovascular surgery. We have newly developed a system the Vesalius 3D suite, combining three-dimensional (3D) image-processing software with an optic-tracking spatial navigation, allowing quick, accessible 3D image interpretation for virtual reality (VR) exploration and measurement of complex anatomy. In this review, we present a novel method of virtual imaging analysis for preoperative planning and simulation in cardiovascular operation using this 3D-VR system. Based on unimodal or multimodal medical imaging data, DICOM data sets can be reconstructed for 3D visualization. Virtually reconstructed images can be viewed on stereoscopic 3D display, revealing each patient’s specific anatomy and the internal structures in exquisite detail. Highly accessible 3D interpretation promptly permits precise and intuitive measurements of repair-relevant anatomical parameters including geometrically complex shapes. This technology may promote understanding of form and function in the cardiovascular system, and facilitate operative procedures in more challenging cases. Furthermore, this system can be especially valuable for any surgeon to gain experience in practicing for rarely-performed procedures or uncommon patient-specific preoperative surgical simulations

Supply Chain Optimization at Evergreen Hospital

In 1972, Evergreen Hospital opened its doors and began servicing the greater Redmond, Woodinville, and Kirkland areas. Since then, it has expanded its capacity and grown into a major service provider in the Seattle area of Washington, specializing in cancer and cardiac care, orthopedics, maternity, and neuroscience. This case study seeks to analyze their supply chain system, specifically its purchasing system, and propose solutions that cut costs, improve efficiency, and maximize patient care. Information will be obtained through interviews with key purchasing personnel, particularly the supply chain director at the hospital. The study’s scope could potentially include the entirety of Evergreen Hospital’s supply chain management system, but will likely be narrowed down to specific purchasing functions and/or departments

Determination of N-15/N-14 of Ammonium, Nitrite, Nitrate, Hydroxylamine, and Hydrazine Using Colorimetric Reagents and Matrix-Assisted Laser Desorption Ionization-Time-of-Flight Mass Spectrometry (MALDI-TOF MS)

In the nitrogen (N) cycle, nitrogenous compounds are chemically and biologically converted to various aqueous and gaseous N species. The N-15-labeling approach is a powerful culture-dependent technique to obtain insights into the complex nitrogen transformation reactions that occur in cultures. In the N-15-labeling approach, the fates of supplemented N-15- and/or unlabeled gaseous and aqueous compounds are tracked by mass spectrometry (MS) analysis, whereas MS analysis of aqueous N species requires laborious sample preparation steps and is performed using isotope-ratio mass spectrometry, which requires an expensive mass spectrometer. We developed a simple and high-throughput MS method for determining the N-15 atoms percent of NH4+, NO2-, NO3-, NH2OH, and N2H4, where liquid samples (1,000 liquid samples daily at 1,000 liquid samples daily at <$1 (U.S.) per 384 samples for routine analysis