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Microglial response to aging and neuroinflammation in the development of neurodegenerative diseases

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Neural regeneration research 2024年第6期19卷 1241-1248页

作者： Tingting Han Yuxiang Xu Lin Sun Makoto hashimoto Jianshe Wei Institute for Brain Sciences research School of Life Sciences Henan University College of Chemistry and Molecular Sciences Henan University Department of Basic Technology Tokyo Metropolitan Institute of Medical Science

Cellular senescence and chronic inflammation in response to aging are considered to be indicators of brain aging; they have a great impact on the aging process and are the main risk factors for neurodegeneration. reviewing the microglial response to aging and neuroinflammation in neurodegenerative diseases will help understand the importance of microglia in neurodegenerative diseases. This review describes the origin and function of microglia and focuses on the role of different states of the microglial response to aging and chronic inflammation on the occurrence and development of neurodegenerative diseases, including Alzheimer’s disease, Huntington’s chorea, and Parkinson’s disease. This review also describes the potential benefits of treating neurodegenerative diseases by modulating changes in microglial states. Therefore, inducing a shift from the neurotoxic to neuroprotective microglial state in neurodegenerative diseases induced by aging and chronic inflammation holds promise for the treatment of neurodegenerative diseases in the future.

关键词： aging Alzheimer's disease cytokines Huntington's disease microglia neurodegenerative diseases neuroinflammation neuroprotection neurotoxicity Parkinson's disease

Humanoid robot heads for human-robot interaction:A review

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Science China(Technological Sciences) 2024年第2期67卷 357-379页

作者： LI Yi ZHU LiXiang ZHANG ZiQian GUO MingFei LI ZhiXin LI YanBiao hashimoto Minoru Key Laboratory of Special Purpose Equipment and Advanced Processing Technology of Ministry of Education Zhejiang University of TechnologyHangzhou 310023China Zhejiang Provincial Key Laboratoryof Special Purpose Equipment and Advanced Processing Technology Zhejang Universityof Technology Hangzhou 310023 China Faculy of Textile Science and Technology Shinshu UniversityUeda 386-8567Japan

The humanoid robot head plays an important role in the emotional expression of human-robot interaction(HrI).They are emerging in industrial manufacturing,business reception,entertainment,teaching assistance,and tour *** recent years,significant progress has been made in the field of humanoid ***,there is still a lack of humanoid robots that can interact with humans naturally and *** review comprises a comprehensive survey of state-of-the-art technologies for humanoid robot heads over the last three decades,which covers the aspects of mechanical structures,actuators and sensors,anthropomorphic behavior control,emotional expression,and human-robot ***,the current challenges and possible future directions are discussed.

关键词： humanoid robot head anthropomorphic behaviors emotional expression human-robot interaction

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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

Electronic structure and effective mass of pristine and Cl-doped CsPbBr_(3)

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Chinese Physics B 2024年第5期33卷 167-171页

作者：魏志远魏愉昊徐申东彭舒婷 Makoto hashimoto 路东辉潘旭匡泯泉肖正国何俊峰 Department of Physics and CAS Key Laboratory of Strongly-coupled Quantum Matter Physics University of Science and Technology of ChinaHefei 230026China Chongqing Key Laboratory of Micro & Nano Structure Optoelectronics and School of Physical Science and TechnologySouthwest UniversityChongqing 400715China Key Laboratory of Photovoltaic and Energy Conservation Materials Institute of Applied TechnologyHefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China Stanford Synchrotron radiation Lightsource and Stanford Institute for Materials and Energy Sciences SLAC National Accelerator LaboratoryMenlo ParkCalifornia 94025USA

Organic–inorganic lead halide perovskites(LHPs) have attracted great interest owing to their outstanding optoelectronic ***,the underlying electronic structure would determinate the physical properties of *** as for now,limited studies have been done to reveal the underlying electronic structure of this material system,comparing to the huge amount of investigations on the material *** effective mass of the valance band is one of the most important physical parameters which plays a dominant role in charge transport and photovoltaic *** pristine CsPbBr_(3),the Fr?hlich polarons associated with the Pb–Br stretching modes are proposed to be responsible for the effective mass *** this regard,it would be very interesting to explore the electronic structure in doped ***,we report high-resolution angle-resolved photoemission spectroscopy(ArPES) studies on both pristine and Cl-doped CsPbBr_(3).The experimental band dispersions are extracted from ArPES spectra along both ■ and ■ high symmetry *** calculations are performed and directly compared with the ArPES *** results have revealed the band structure of Cl-doped CsPbBr_(3) for the first time,which have also unveiled the effective mass renormalization in the Cl-doped CsPbBr_(3) *** dependent measurements indicate that the chlorine doping could moderately tune the renormalization *** results will help understand the physical properties of LHPs as a function of doping.

关键词： lead halide perovskites electronic structure effective mass

A dynamic database of solid-state electrolyte(DDSE)picturing all-solid-state batteries

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Nano Materials Science 2024年第2期6卷 256-262页

作者： Fangling Yang Egon Campos dos Santos Xue Jia ryuhei Sato Kazuaki Kisu Yusuke hashimoto Shin-ichi Orimo Hao Li Advanced Institute for Materials research(WPI-AIMr) Tohoku UniversitySendai980-8577Japan Key Laboratory of radiation Physics and Technology Ministry of EducationCollege of PhysicsSichuan UniversityChengdu610065People's Republic of China Institute for Materials research(IMr) Tohoku UniversitySendai980-8577Japan Tohoku Forum for Creativity Tohoku UniversitySendai980-8577Japan

All-solid-state batteries(ASSBs)are a class of safer and higher-energy-density materials compared to conventional devices,from which solid-state electrolytes(SSEs)are their essential *** date,investigations to search for high ion-conducting solid-state electrolytes have attracted broad ***,obtaining SSEs with high ionic conductivity is challenging due to the complex structural information and the less-explored structure-performance *** provide a solution to these challenges,developing a database containing typical SSEs from available experimental reports would be a new avenue to understand the structureperformance relationships and find out new design guidelines for reasonable ***,a dynamic experimental database containing>600 materials was developed in a wide range of temperatures(132.40–1261.60 K),including mono-and divalent cations(e.g.,Li^(+),Na^(+),K^(+),Ag^(+),Ca^(2+),Mg^(2+),and Zn^(2+))and various types of anions(e.g.,halide,hydride,sulfide,and oxide).Data-mining was conducted to explore the relationships among different variates(e.g.,transport ion,composition,activation energy,and conductivity).Overall,we expect that this database can provide essential guidelines for the design and development of high-performance SSEs in ASSB *** database is dynamically updated,which can be accessed via our open-source online system.

关键词： Solid-state electrolyte(SSE) All-solid-state battery(ASSB) Ionic conductivity Dynamic database Machine learning

An event mixing technique for Bose-Einstein correlations of two pions in photoproduction around 1 GeV

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Chinese Physics C 2016年第11期40卷 67-74页

作者：何庆华 H.Fujimura H.Fukasawa r.hashimoto Y.Honda T.Ishikawa T.Iwata S.Kaida J.Kasagi A.Kawano S.Kuwasaki K.Maeda S.Masumoto M.Miyabe F.Miyahara K.Mochizuki N.Muramatsu A.Nakamura K.Nawa S.Ogushi Y.Okada Y.Onodera K.Ozawa Y.Sakamoto M.Sato H.Shimizu H.Sugai K.Suzuki Y.Tajima S.Takahashi Y.Taniguchi Y.Tsuchikawa H.Yamazaki r.Yamazaki H.Y.Yoshida research Center for Electron Photon Science Tohoku University Institute of Fluid Physics China Academy of Engineering Physics Department of Physics Wakayama Medical University Department of Physics Yamagata University Department of Information Science Tohoku Gakuin University Department of Physics Tohoku University Department of Physics University of Tokyo Accelerator Laboratory KEK Institute of Particle and Nuclear Studies KEK Wakasa-wan Energy research Center

We have developed an event mixing technique to observe Bose-Einstein correlations （BEC） between two identical neutral pions produced in photo-induced reactions in the non-perturbative QCD energy region. It is found that the missing-mass consistency cut and the pion-energy cut are essential for the event mixing method to effectively extract BEC observables. A Monte Carlo （MC） simulation is used to validate these constraints and confirms the efficiency of this method. Our work paves the way for similar BEC studies at lower energies where the multiplicity of emitted bosons is limited.

关键词： Bose-Einstein correlations photoproduction event mixing

应对热电材料人工智能领域的大数据挑战（英文）

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Science China Materials 2024年

作者：贾雪 Alex Aziz Yusuke hashimoto 李昊 Tohoku Forum for Creativity Tohoku University Advanced Institute for Materials research (WPI-AIMr) Tohoku University

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...

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：

Preoperative albumin-bilirubin score and liver resection percentage determine postoperative liver regeneration after partial hepatectomy

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World Journal of Gastroenterology 2024年第14期30卷 2006-2017页

作者： Kazuhiro Takahashi Masahiko Gosho Yoshihiro Miyazaki Hiromitsu Nakahashi Osamu Shimomura Kinji Furuya Manami Doi Yohei Owada Koichi Ogawa Yusuke Ohara Yoshimasa Akashi Tsuyoshi Enomoto Shinji hashimoto Tatsuya Oda Department of Gastrointestinal and Hepatobiliary-Pancreatic Surgery University of TsukubaTsukuba 3058-575IbarakiJapan Department of Biostatistics University of TsukubaTsukuba 3058-575IbarakiJapan

BACKGrOUND The success of liver resection relies on the ability of the remnant liver to *** of the knowledge regarding the pathophysiological basis of liver regeneration comes from rodent studies,and data on humans are ***,there is limited knowledge about the preoperative factors that influence postoperative *** To quantify postoperative remnant liver volume by the latest volumetric software and investigate perioperative factors that affect posthepatectomy liver *** A total of 268 patients who received partial hepatectomy were *** were grouped into right hepatectomy/trisegmentectomy(rH/Tri),left hepa-tectomy(LH),segmentectomy(Seg),and subsegmentectomy/nonanatomical hepatectomy(Sub/Non)*** regeneration index(rI)and late rege-neration rate were defined as(postoperative liver volume)/[total functional liver volume(TFLV)]×100 and(rI at 6-months-rI at 3-months)/rI at 6-months,*** lower 25th percentile of rI and the higher 25th percentile of late regeneration rate in each group were defined as“low regeneration”and“delayed regeneration”.“restoration to the original size”was defined as regeneration of the liver volume by more than 90%of the TFLV at 12 months *** The numbers of patients in the rH/Tri,LH,Seg,and Sub/Non groups were 41,53,99 and 75,*** rI plateaued at 3 months in the LH,Seg,and Sub/Non groups,whereas the rI increased until 12 months in the rH/Tri *** to our multivariate analysis,the preoperative albumin-bilirubin(ALBI)score was an independent factor for low regeneration at 3 months[odds ratio(Or)95%CI=2.80(1.17-6.69),P=0.02;per 1.0 up]and 12 months[Or=2.27(1.01-5.09),P=0.04;per 1.0 up].Multivariate analysis revealed that only liver resection percentage[Or=1.03(1.00-1.05),P=0.04]was associated with delayed ***,multivariate analysis demonstrated that the preoperative ALBI score[Or=2.63(1.00-1.05),P=0.02;per 1.

关键词： Liver regeneration Albumin-bilirubin score Liver resection percentage Partial hepatectomy Human regeneration index

π~0 Photoproduction on Deuteron for Photon Energies from 0.6 to 1.15 GeV

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原子核物理评论 2009年第S1期26卷 104-108页

作者： F.Miyahara H.Fukasawa r.hashimoto T.Ishikawa M.Itoh T.Iwata H.Kanda J.Kasagi H.Kato T.Kinoshita K.Maeda M.Matsuzawa T.Michigami K.Motiduki K.Murakami T.Nakabayashi K.Nawa T.Nomura K.Okamura H.Okamura H.Okuyama Y.Onodera Y.Saito T.Sasaki H.Shimizu T.Shishido S.Suzuki K.Suzuki Y.Tajima S.Takita T.Takahashi H.Ueno S.Yamaguchi H.Yamazaki H.Y.Yoshida Laboratory of Nuclear Science Tohoku University Mikamine 1-2-1 Cyclotoron and radioisotope Center Tohoku University Department of Physics Yamagata University Department of Physics Tohoku University research Center for Nuclear Physics Osaka University KEK

Differential and total cross sections of the γp→π0p and the γd→π0pn reaction were measured for photon energies between 640 and 1 150 MeV. The data have been compared with SAID and MAID model calculations. π0 photoproduction on the deuteron shows a strong suppression of the 2nd resonance which is clearly seen in the γp→π0p reaction.

关键词： pion photoproduction resonance