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| 1 | Comparison of dissimilarity measures for cluster analysis of X-ray diffraction data from combinatorial libraries显示文摘Machine learning techniques have proven invaluable to manage the ever growing volume of materials research data produced as developments continue in high-throughput materials simulation,fabrication,and characterization.In particular,machine learning techniques have been demonstrated for their utility in rapidly and automatically identifying potential composition-phase maps from structural data characterization of composition spread libraries,enabling rapid materials fabrication-structure-property analysis and functional materials discovery.A key issue in development of an automated phase-diagram determination method is the choice of dissimilarity measure,or kernel function.The desired measure reduces the impact of confounding structural data issues on analysis performance.The issues include peak height changes and peak shifting due to lattice constant change as a function of composition.In this work,we investigate the choice of dissimilarity measure in X-ray diffraction-based structure analysis and the choice of measure’s performance impact on automatic composition-phase map determination.Nine dissimilarity measures are investigated for their impact in analyzing X-ray diffraction patterns for a Fe-Co-Ni ternary alloy composition spread.The cosine,Pearson correlation coefficient,and Jensen-Shannon divergence measures are shown to provide the best performance in the presence of peak height change and peak shifting(due to lattice constant change)when the magnitude of peak shifting is unknown.With prior knowledge of the maximum peak shifting,dynamic time warping in a normalized constrained mode provides the best performance.This work also serves to demonstrate a strategy for rapid analysis of a large number of X-ray diffraction patterns in general beyond data from combinatorial libraries. | Yuma Iwasaki A.Gilad Kusne Ichiro Takeuchi | 2017 | npj Computational Materials2017，，1： | 8 |
| 2 | Towards development of enhanced fully-Lagrangian mesh-free computational methods for fluid-structure interaction显示文摘Simulation of incompressible fluid flow-elastic structure interactions is targeted by using fully-Lagrangian mesh-free computational methods. A projection-based fluid model(moving particle semi-implicit(MPS)) is coupled with either a Newtonian or a Hamiltonian Lagrangian structure model(MPS or HMPS) in a mathematically-physically consistent manner. The fluid model is founded on the solution of Navier-Stokes and continuity equations. The structure models are configured either in the framework of Newtonian mechanics on the basis of conservation of linear and angular momenta, or Hamiltonian mechanics on the basis of variational principle for incompressible elastodynamics. A set of enhanced schemes are incorporated for projection-based fluid model(Enhanced MPS), thus, the developed coupled solvers for fluid structure interaction(FSI) are referred to as Enhanced MPS-MPS and Enhanced MPS-HMPS. Besides, two smoothed particle hydrodynamics(SPH)-based FSI solvers, being developed by the authors, are considered and their potential applicability and comparable performance are briefly discussed in comparison with MPS-based FSI solvers. The SPH-based FSI solvers are established through coupling of projection-based incompressible SPH(ISPH) fluid model and SPH-based Newtonian/Hamiltonian structure models, leading to Enhanced ISPH-SPH and Enhanced ISPH-HSPH. A comparative study is carried out on the performances of the FSI solvers through a set of benchmark tests, including hydrostatic water column on an elastic plate,high speed impact of an elastic aluminum beam, hydroelastic slamming of a marine panel and dam break with elastic gate. | Abbas Khayyer Hitoshi Gotoh Hosein Falahaty Yuma Shimizu | 2018 | Journal of Hydrodynamics2018，30，1： | 8 |
| 3 | Identification of advanced spin-driven thermoelectric materials via interpretable machine learning显示文摘Machine learning is becoming a valuable tool for scientific discovery.Particularly attractive is the application of machine learning methods to the field of materials development,which enables innovations by discovering new and better functional materials.To apply machine learning to actual materials development,close collaboration between scientists and machine learning tools is necessary.However,such collaboration has been so far impeded by the black box nature of many machine learning algorithms.It is often difficult for scientists to interpret the data-driven models from the viewpoint of material science and physics.Here,we demonstrate the development of spin-driven thermoelectric materials with anomalous Nernst effect by using an interpretable machine learning method called factorized asymptotic Bayesian inference hierarchical mixture of experts(FAB/HMEs).Based on prior knowledge of material science and physics,we were able to extract from the interpretable machine learning some surprising correlations and new knowledge about spin-driven thermoelectric materials.Guided by this,we carried out an actual material synthesis that led to the identification of a novel spin-driven thermoelectric material.This material shows the largest thermopower to date. | Yuma Iwasaki Ryohto Sawada Valentin Stanev Masahiko Ishida Akihiro Kirihara Yasutomo Omori Hiroko Someya Ichiro Takeuchi Eiji Saitoh Shinichi Yorozu | 2019 | npj Computational Materials2019，，1： | 7 |
| 4 | Plasma brain natriuretic peptide level in older outpatients with heart failure is associated with physical frailty, especially with the slowness domain显示文摘ObjectiveTo 决定在血浆大脑 natriuretic 之间的协会在有心失败( HF )和物理脆弱以及与心血管的药的 106 个门诊病人变老的物理 frailty.MethodsTwo 的每个领域的病人的肽( BNP )水平60岁以上为 HF 被就医了或被给了一为 HF 的药方药被包括。物理脆弱用下列五个领域被估计:缓慢,软弱,疲劳,低活动,并且缩小,根据心血管的健康学习。病人们根据脆弱分数被划分成 nonfrailty 和脆弱组。血浆 BNP 水平被测量。6-min 散步测试被执行测量 endurance.ResultsPlasma BNP 在二个组之间是显著地不同的(脆弱组:158.0 ±214.7 pg/mL, nonfrailty 组:65.2 ±88.0 pg/mL, P <0.01 ) 。Multivariate 逻辑回归分析表明转变木头的血浆 BNP (木头 BNP ) 显著地与物理脆弱被联系(或:1.68, 95% CI:1.11-2.56 ) ,并且木头 BNP 显著地与缓慢领域被联系(走的速度 <1.0 m/s ) 物理脆弱(或:1.75, 95% CI:1.15-2.67 ) 。另外,木头 BNP 否定地被相关到 6 分钟的散步距离(6MWD )(ρ=− 0.37, P <0.01 ) ,当 6MWD 断然被相关到走速度时(ρ= 0.66, P <0.01 ).ConclusionsPlasma BNP 水平与物理脆弱有关,特别在缓慢领域。耐力可以在在血浆 BNP 水平和走的速度之间的协会干涉。 | Shu Nishiguchi Yuma Nozaki Masayuki Yamaji Kanako Oya Yuki Hikita Tomoki Aoyama Hiroshi Mabuchi | 2016 | Journal of Geriatric Cardiology2016，13，7： | 5 |
| 5 | Hilar cholangiocarcinoma with intratumoral calcification: A case report显示文摘This report describes a rare case of hilar cholangiocarcinoma with intratumoral calcification that mimicked hepatolithiasis. A 73-year-old man presented to a local hospital with a calcified lesion in the hepatic hilum. At first,hepatolithiasis was diagnosed,and he underwent endoscopic stone extraction via the transpapillary route. This treatment strategy failed due to biliary stricture. He was referred to our hospital,and further examination suggested the existence of cholangiocarcinoma. He underwent left hepatectomy with caudate lobectomy and extrahepatic bile duct resection. Pathological examination revealed hilar cholangiocarcinoma with intratumoral calcification,while no stones were found. To the best of our knowledge,only one case of calcified hilar cholangiocarcinoma has been previously reported in the literature. Here,we report a rare case of calcified hilar cholangiocarcinoma and reveal its clinicopathologic features. | Kazuho Inoko Takahiro Tsuchikawa Takehiro Noji Yo Kurashima Yuma Ebihara Eiji Tamoto Toru Nakamura Soichi Murakami Keisuke Okamura Toshiaki Shichinohe Satoshi Hirano | 2015 | World Journal of Gastroenterology2015，21，38： | 2 |
| 6 | Silencing of pkm2 increases the efficacy of docetaxel in human lung cancer xenografts in mice显示文摘 | Hua‐shanShi DanLi JingZhang Yong‐shengWang LiYang Hai‐longZhang Xian‐huoWang BoMu WeiWang YuMa Fu‐chunGuo Yu‐quanWei | 2010 | Cancer Science2010，，6： | 2 |
| 7 | Synthesis of 2-substituted indoles by palladium-catalyzed heteroannulation with Pd-NaY zeolite catalysts 显示文摘 | Ki Bum Hong Chul Wee Leeb Eul Kgun Yuma | 2004 | Tetrahedron Letters2004，45，： | 1 |
| 8 | Flash ignition of Al nanoparticles: mechanism and applications 显示文摘 | Yuma Ohkura Pratap M Rao Zheng Xiao-lin | 2011 | Com- bustion and Flame2011，158，12： | 1 |
| 9 | Synthesis and ignition of energetic CuO/Al core/shell nanowires显示文摘 | Yuma Ohkura Shih-Yu Liu Pratap M. Rao Xiaolin Zheng | 2010 | Proceedings of the Combustion Institute2010，，： | 1 |
| 10 | Thirteen cases with intramural metastasis to the stomach in 1259 patients with oesophageal squamous cell carcinoma显示文摘 | Yuma Ebihara Masao Hosokawa Satoshi Kondo Hiroyuki Katoh | 2004 | European Journal of Cardio-Thoracic Surgery2004，，6： | 1 |
| 11 | Introduction of Gear Noise Reduction Ring By Mechanism Analysis Including Fem Dynamic Tuning显示文摘 | Yuma Miyauchi Koji Fujii Takayuki Nishino etc | 2001 | SAE transactions2001，110，6： | 1 |
| 12 | A highspeed f requency shift method as a protection for islanding phenomena of utility interactive PV systems显示文摘 | Yu Yuma S Lchinose T Kimoto K | 1994 | Solar Energy Materials and Solar Cells1994，35，： | 1 |
| 13 | Solubility of titanium diisopropoxide bis(dipivaloylmethanate)complex in supercritical carbon dioxide and its effect on supercritical fluid deposition process显示文摘 | Hiroshi Uchida Kazuyuki Sekino Yuma Hayawa | 2012 | The Journal of Supercritical Fluids>2012，66，： | 1 |
| 14 | Weldability of dissimilar joint between F82H and SUS316L under fiber laser welding 显示文摘 | Hisashi Serizawa Daiki Mori Yuma Shirai | 2013 | Fusion Engineering and Design2013，88，： | 1 |
| 15 | Prediction of hardness in HAZ of low-alloy steel produced by temper bead welding using neural network显示文摘 | Yu Lina Nakabayashi Yuma Shinsuke Ito | 2010 | Transactions of JWRI2010，39，： | 1 |
| 16 | Neural network based toughness prediction in CGHAZ of low-alloy steel produced by temper bead welding显示文摘 | Yu Lina Nakabayashi Yuma Shinsuke Ito | 2011 | Transactions of JWRI2011，，： | 1 |
| 17 | Structural hierarchy developed in injectionmolding of nylon 6 /clay/carbon black nanocomposites显示文摘 | YUMA K MIKO C | 2005 | Polymer2005，，46： | 1 |
| 18 | Corrosion mechanisms in reinforced concrete by acoustic emission显示文摘 | Yuma Kawasaki Tomoyo Wakuda Tomoe Kobarai Masayasu Ohtsu | 2013 | Construction and Building Materials2013，，： | 1 |
| 19 | Target tracking in air borne forward looking infrared imagery 显示文摘 | Yuma A Shafique K Shah M | 2003 | Image Vision Compute2003，21，1： | 1 |
| 20 | Flash ignition of A1 nanoparticles: Mechanism and applications显示文摘 | Ohkura Yuma Rao Pratap M Zheng Xiaolin | 2011 | Combustion and Flame2011，25，： | 1 |
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