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ninth China-Japan Symposium on Materials for Advanced Energy Systems and Fission & Fusion Engineering Jointed with CAS-JSPS Core-university Program Seminar on Fusion Materials, System and Design Integration

作者： S.Ohnuki Y.Uchida M.Watanabe n.hashimoto T.Shibayama S.Yamashita S.Ohtsuka Fac.Eng. Hokkaido Univ.n-13 W-8 Kita-ku Sapporo 060-8628 Japan Fac.Eng. Hokkaido Univ.n-13 W-8 Kita-ku Sapporo 060-8628 Japan Fac.Eng. Hokkaido Univ.n-13 W-8 Kita-ku Sapporo 060-8628 Japan Fac.Eng. Hokkaido Univ.n-13 W-8 Kita-ku Sapporo 060-8628 Japan Fac.Eng. Hokkaido Univ.n-13 W-8 Kita-ku Sapporo 060-8628 Japan Japan Atomic Energy Agency Oarai Eng Center JnC Oarai Ibaraki 311-1393 Japan Japan Atomic Energy Agency Oarai Eng Center JnC Oarai Ibaraki 311-1393 Japan

Oxide dispersion strengthened（ODS）ferritic steels are one of candidate materials for both future fusion reactors and present fission reactors because of their good creep strength at high temperatures and excellent resistance for irradiation-induced ***,in order to develop advanced ODS steels,the critical issue is the nano-sized distribution of the particle in *** to our recent study,the addition of elements in Ⅳa family is effective to achieve the *** purpose of this study is to clarify the optimum concentration of such effective elements of Ti,Hf and Ce in Fe-9Cr-0.25YO.

关键词： ODS Effects of adding minor elements to ODS steel with dispersed complex oxides

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用电测试方法评估MOSLSI电路的工艺

微电子学与计算机 1983年第2期 38-40+4页

作者： Y.Wada ,H.Sunami ,n.hashimoto ,郑鹏洲

本文讲述一种采用电测试来评估MOS LSI电路工艺的方法。因为器件的主要性能参数如阈值电压、放大系数等可以由工艺参数(如栅长、栅氧化层厚度、结深、沟道掺杂浓度等)来决定。所以我们采用电测量方法得到这些工艺参数,并把所得之值与用... 详细信息

本文讲述一种采用电测试来评估MOS LSI电路工艺的方法。因为器件的主要性能参数如阈值电压、放大系数等可以由工艺参数(如栅长、栅氧化层厚度、结深、沟道掺杂浓度等)来决定。所以我们采用电测量方法得到这些工艺参数,并把所得之值与用光学、工艺检测手段测得的值作比较。按照本文的分析,芯片上阈值电压值的不同主要是由于栅氧化层厚度不同引起的。而短沟道区内,阈值电压值不规则地下降则是由于MOS管穿通所造成。

关键词：栅氧化层厚度工艺参数放大系数器件性能 MOSLSI 沟道区栅长大规模电路阈值电压载流子迁移率

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应对热电材料人工智能领域的大数据挑战

Science China Materials 2024年第4期67卷 1173-1182页

作者：贾雪 Alex Aziz Yusuke hashimoto 李昊 Advanced Institute for Materials Research(WPI-AIMR) Tohoku UniversitySendai 980-8577Japan Tohoku Forum for Creativity Tohoku UniversitySendai 980-8577Japan

人工智能的发展正在改变材料科学领域.然而,大规模材料数据集中存在错误数据以及利用机器学习预测与温度相关的性质时出现过拟合等挑战.本文以热电材料为例,首先采取一系列合理的方法删除问题数据,从Starrydata2数据库中获得包括7295种... 详细信息

人工智能的发展正在改变材料科学领域.然而,大规模材料数据集中存在错误数据以及利用机器学习预测与温度相关的性质时出现过拟合等挑战.本文以热电材料为例,首先采取一系列合理的方法删除问题数据,从Starrydata2数据库中获得包括7295种成分在不同温度下的92,291个数据.然后,提出了一种基于成分的交叉验证方法避免过拟合.进而,使用梯度提升决策树方法构建了机器学习模型,并获得了显著的R2.最后,使用该模型对Materials Project数据库中的材料进行评估,Ge2Te5As2和Ge3(Te3As)2表现出较高的zT值.理论计算得到n型和p型Ge2Te5As2的最大zT值为1.98和2.12,n型和p型Ge3(Te3As)2的最大zT值为0.58和0.74,表明它们是有潜力的热电材料.本工作提出了一个处理和克服材料科学中的人工智能大数据挑战的示例.

关键词：人工智能大数据机器学习过拟合热电材料材料数据数据库温度相关

Which characteristics are associated with changes in medication status for lower urinary tract symptoms among patients with prostate cancer receiving external beam radiotherapy?

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Current Urology 2024年第2期18卷 122-127页

作者： Yuki Kyoda Kohei hashimoto Atsushi Takahashi TakeshiMaehana Kimihito Tachikawa Takashi Muranaka Shuichi Kato Tomoyo Kurisug Fumimasa Fukuta Takahiro Kirisawa Manabu Okada Ko Kobayashi Toshiaki Tanaka Shiro Hinotsu naoya Masumoria Department of Urology SapporoMedical University School of MedicineSapporoJapan Department of Urology Hakodate Goryoukaku HospitalHakodateJapan Department of Urology Muroran City General HospitalMuroranJapan Department of Urology NTT-East Sapporo HospitalSapporoJapan Department of Urology Sunagawa City Medical CenterSunagawaJapan Department of Urology Oji General HospitalTomakomaiJapan Department of Urology Steel Memorial Muroran HospitalMuroranJapan Department of Urology Obihiro Kyokai HospitalObihiroJapan Department of Medical Statistics Sapporo Medical University School of MedicineSapporoJapan

Background:We clarified the predictive factors for changes in the status ofmedications for lower urinary tract symptoms(LUTS)2 years after local radiotherapy for nonmetastatic prostate *** and methods:We retrospectively included patients who underwent local external radiotherapy for nonmetastatic prostate cancer in 8 institutions between April 2001 and March *** were divided into themedication and no-medication group based on the use of drugs for LUTS before *** defined improvement of LUTS as when the patient did not require medication for LUTS at 24 months after radiotherapy in the medication group and as deterioration whenmedication was required in the no-medication *** regression analysis was used to evaluate predictive factors for changes in medication ***:Altogether,505 patients were divided into a no-medication group(n=352)and a medication group(n=153).The number of patients with deterioration and improvement in LUTS was 49(14%)and 36(23%),*** the multivariate analysis,the predictive variables for deterioration were the International Prostate SymptomScore(≥8;odds ratio[OR],2.21;p=0.014)and the biopsy Gleason score(≤3+4=7;OR,2.430;p=0.008)in the no-medication group,whereas those for improvement were age(nd a positive biopsy core rate(≥50%;OR,2.530;p=0.027)in the medication ***:These predictive factors for changes in the status ofmedications for LUTS at 2 years after external radiotherapymay help determine the definitive therapy for nonmetastatic prostate cancer.

关键词： Prostate cancer Radiotherapy Lower urinary tract symptoms Medications

Clinical-based phenotypes in children with pediatric post-COVID-19 condition

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World Journal of Pediatrics 2024年第7期20卷 682-691页

作者： Lieke C.E.noij Jelle M.Blankestijn Coen R.Lap Marlies A.van Houten Giske Biesbroek Anke-Hilse Maitland-van der Zee Mahmoud I.Abdel-Aziz Johannes B.van Goudoever Mattijs W.Alsem Caroline L.H.Brackel Kim J.Oostrom Simone hashimoto Suzanne W.J.Terheggen-Lagro Department of Pediatric Pulmonology and Allergy Amsterdam UMCLocation AMCEmma Children’s HospitalAmsterdam University Medical CenterRoom G2-222Meibergdreef 91105AZAmsterdamThe Netherlands Department of Pulmonary Medicine Amsterdam UMCAmsterdamThe Netherlands Department of Pediatrics Spaarne GasthuisHoofddorpThe Netherlands Department of Pediatrics Emma Children’s HospitalAmsterdam University Medical CenterAmsterdamThe Netherlands Department of Rehabilitation Medicine Amsterdam Movement SciencesMeibergdreef 9AmsterdamThe Netherlands Department of Paediatric Pulmonology Department of PaediatricsTergooi MCHilversumThe Netherlands Department of Child and Adolescent Psychiatry and Psychosocial Care Amsterdam UMCAmsterdam Reproduction and DevelopmentAmsterdamThe Netherlands

Background Pediatric post coronavirus disease 2019(COVID-19)condition(PPCC)is a heterogeneous syndrome,which can significantly affect the daily lives of *** study aimed to identify clinically meaningful phenotypes in children with PPCC,to better characterize and treat this *** Participants were children with physician-diagnosed PPCC,referred to the academic hospital Amsterdam UMC in the netherlands between november 2021 and March *** factors and information on post-COVID symptoms,comorbidities,and impact on daily life were *** clusters were identified using an unsupervised and unbiased approach for mixed data *** Analysis of 111 patients(aged 3–18 years)revealed three distinct clusters within *** 1(n=62,median age=15 years)predominantly consisted of girls(74.2%).These patients suffered relatively more from exercise intolerance,dyspnea,and smell *** 2(n=33,median age=13 years)contained patients with an even gender distribution(51.5%girls).They suffered from relatively more sleep problems,memory loss,gastrointestinal symptoms,and *** 3(n=16,median age=11 years)had a higher proportion of boys(75.0%),suffered relatively more from fever,had significantly fewer symptoms(median of 5 symptoms compared to 8 and 10 for clusters 1 and 2 respectively),and experienced a lower impact on daily *** This study identified three distinct clinical PPCC phenotypes,with variations in sex,age,symptom patterns,and impact on daily *** findings highlight the need for further research to understand the potentially diverse underlying mechanisms contributing to post-COVID symptoms in children.

关键词： Adolescents Clusters Long COVID Pediatric Phenotypes Post-COVID syndrome

Current applications of artificial intelligence for intraoperative decision support in surgery Allison

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Frontiers of Medicine 2020年第4期14卷 369-381页

作者： J.navarrete-Welton Daniel A.hashimoto Surgical Artificial Intelligence and Innovation Laboratory Massachusetts General HospitalBostonMA 02114USA Harvard Medical School BostonMA 02114USA

Research into medical artificial intelligence(AI)has made significant advances in recent years,including surgical *** scoping review investigated AI-based decision support systems targeted at the intraoperative phase of surgery and found a wide range of technological approaches applied across several surgical *** the twenty-one(n=21)included papers,three main categories of motivations were identified for developing such technologies:(1)augmenting the information available to surgeons,(2)accelerating intraoperative pathology,and(3)recommending surgical *** many of the proposals hold promise for improving patient outcomes,important methodological shortcomings were observed in most of the reviewed papers that made it difficult to assess the clinical significance of the reported performance *** limitations,the current state of this field suggests that a number of opportunities exist for future researchers and clinicians to work on AI for surgical decision support with exciting implications for improving surgical care.

关键词： artificial intelligence decision support clinical decision support systems intraoperative deep learning computer vision machine learning surgery

On the Eve of Upgrading Antidepressants:(R)-Ketamine and Its Metabolites

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neuroscience Bulletin 2016年第6期32卷 565-568页

作者： Kai Yuan Ying Han Kenji hashimoto Lin Lu Institute of Mental Health National Clinical Research Center for Mental DisordersKey Laboratory of Mental Health and Peking University Sixth HospitalPeking University Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research Peking University national Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Peking University Division of Clinical neuroscience Chiba University Center for Forensic Mental Health

Ketamine is a noncompetitive n-methyl-D-aspartate receptor （nMDAR） antagonist that has attracted wide- spread attention for its rapid-onset antidepressant effects, especially in individuals with treatment-resistant depres- sion and suicidal ideation [1-3]. Compared with the tra- ditional antidepressants that take weeks, if not months, to benefit patients and are associated with a high rate of relapse, ketamine exerts its antidepressant effects within several hours. These clinical benefits can last for 2 weeks after a single injection [1, 2, 4]. However, ketamine still has limited clinical application, psychotomimetic side-effects and liability of abuse. A recent paper in nature [5] showed that the ketamine metabolite enantiomer （2R,6R）-hydroxynorketamine （HnK） has rapid and sustained antidepressant effects without the side-effects associated with ketamine, such as abuse potential. The discovery of （R）-ketamine is a land- mark in the field of depression. Investigations of its mechanism of action will inspire the development of a new

关键词： nMDAR Ketamine and Its Metabolites On the Eve of Upgrading Antidepressants

Formation of intermetallic phases in unrefined and refined AA6082 Al alloys investigated by using SEM-based ultramicrotomy tomography

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Journal of Materials Science & Technology 2022年第25期120卷 118-128页

作者： J.M.Yu T.hashimoto H.T.Li n.Wanderka Z.Zhang C.Cai X.L.Zhong J.Qin Q.P.Dong H.nagaumi X.n.Wang Shagang School of Iron and Steel and High-Performance Metal Structural Materials Research Institute Soochow UniversitySuzhou 215137China School of Materials The University of ManchesterSackville StreetManchester M139PLUK Chinalco Materials Application Research Institute Co.Ltd. Beijing 102200China Helmholtz-Zentrum Berlin Für Materialien und Energie Hahn-Meitner-Platz 1Berlin 14109Germany Key Laboratory of Electromagnetic Processing of Materials Ministry of EducationNortheastern UniversityShenyang 110819China

The spatial arrangement,distribution and morphology of Fe-bearing intermetallics in AA6082 alloys depends on the manufacturing process of the alloy and thus influences the macroscopic ***,the microstructure of a near industrial scale casting AA6082 Al alloy fabricated by:(a)direct chill casting,(b)Al-5 Ti-1 B grain refiner addition and(c)intensive melt shearing has been investigated by threedimensional visualization using SEM-based serial ultra microtomy *** formation sequence of phases in AA6082 alloys is generally categorized into four stages:formation ofα-Al grains,Fe-bearing intermetallics,Mg_(2)Si phase,and eutectic *** of three-dimensional visualization of the microstructure indicated that TiBparticles not only could nucleate Fe-bearingβ-intermetallics,but also could provide substrate for the formation of Fe-bearingα-intermetallics and Mg_(2)Si.A further deep analysis reveals that the essential condition for the formation of secondary phases such as Fe-bearing intermetallics and Mg_(2)Si phase is the build-up of a supersaturated solute front at theα-Al solid-liquid interface irrespective of the specific nucleation *** addition,the results indicate that grain refinement processing causes the severe interconnectivity of Fe-bearingα-***,the intensive melt shearing is a better manufacturing process because the intermetallics are more evenly distributed and refined than with the addition of the grain refiner,thereby improving the properties of the alloy.

关键词： Al-Si-Mg alloy Grain refinement Al-Fe-Si intermetallic phase Tomography Ultramicrotomy Mg2Si

Risks Associated with Misuse of Ketamine as a Rapid-Acting Antidepressant

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neuroscience Bulletin 2016年第6期32卷 557-564页

作者： Weili Zhu Zengbo Ding Yinan Zhang Jie Shi Kenji hashimoto Lin Lu national Institute on Drug Dependence Beijing Key Laboratory of Drug DependencePeking UniversityBeijing 100191，China Institute of Mental Health/Peking University Sixth Hospital Key Laboratory of Mental HealthBeijing 100191，China Division of Clinical neuroscience Chiba University Center for Forensic Mental Health，Chiba 260-8670，Japan

Abstract Major depression is a serious psychiatric disorder and remains a leading cause of disability worldwide. Con- ventional antidepressants take at least several weeks to achieve a therapeutic response and this lag period has hin- dered their ability to attain beneficial effects in depressed individuals at high risk of suicide. The non-competitive n- methyl-D-aspartate glutamate receptor antagonist ketamine has been shown to have rapid antidepressant effects in both rodents and humans. The emergence of ketamine as a fast- acting antidepressant provides promising new insights into the development of a rapid treatment response in patients with clinical depression. However, its safety and toxicity remain a concem. In this review, we focus on the limitations of ketamine, including neurotoicity, cognitive dysfunction, adverse events associated with mental status, psy- chotomimetic effects, cardiovascular events, and uropathic effects. Studies have shown that its safety and tolerability profiles are generally good at low doses and with short-term treatment in depressed patients. The adverse events associ- ated with ketamine usually occur with very high doses that are administered for prolonged periods of time and can be relieved by cessation. The antidepressant actions of its two enantiomers, S-ketamine （esketamine） and R-ketamine, are also discussed. R-ketamine has greater antidepressantactions than S-ketamine, without ketamine-related side- effects. Future treatment strategies should consider using R- ketamine for the treatment of depressed patients to decrease the risk of adverse events associated with long-term keta- mine use.

关键词： Antidepressant Ketamine Fast-acting Depression Safety