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arXiv 2022年

作者： Kong, Zhenzhen Li, Zonghu Cao, Gang Su, Jiale Zhang, Yiwen Liu, Jinbiao Liu, Jingxiong Ren, Yuhui Wei, Laiming Guo, Guoping Wu, Yuanyuan Radamson, Henry H. Li, Junfeng Wu, Zhenhua Li, Haiou Yang, Jiecheng Zhao, Chao Wang, Guilei Integrated Circuit Advanced Process R&D Center Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China School of Integrated Circuits University of Chinese Academy of Sciences Beijing100049 China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China Hefei National Laboratory Hefei230088 China School of Advanced Manufacturing Engineering Hefei University Hefei230601 China Origin Quantum Computing Company Limited Hefei230026 China Research and Development Center of Optoelectronic Hybrid IC Guangdong Greater Bay Area Institute of Integrated Circuit and System Guangzhou510535 China Beijing Superstring Academy of Memory Technology 100176 China

We fabricate an undoped Ge quantum well under a 30 nm relaxed Ge0.8Si0.2 shallow barrier. The bottom barrier contains Ge0.8Si0.2 (650 ℃) followed by Ge0.9Si0.1 (800 ℃) such that variation of Ge content forms a sharp interface that can suppress the threading dislocation density (TDD) penetrating into the undoped Ge quantum well. The Ge0.8Si0.2 barrier introduces enough in-plane parallel strain (Ε strain -0.41%) in the Ge quantum well. The heterostructure field-effect transistors with a shallow buried channel obtain an ultrahigh two-dimensional hole gas (2DHG) mobility over 2×106 cm2/Vs and a very low percolation of 5.625 × 1010cm−2. A tunable fractional quantum Hall effect at high densities and high magnetic fields has also been observed. This approach defines strained germanium as providing the material basis for tuning the spin-orbit coupling strength for fast and coherent quantum *** Codes 81-05, 81V70 © 2022, CC BY-NC-ND.

关键词： Germanium

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Novel carrier measurement methodology for floating gate of sub-20 nm node flash memory using scanning nonlinear dielectric microscopy 44

Novel carrier measurement methodology for floating gate of s...

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44th International Symposium for Testing and Failure Analysis, ISTFA 2018

作者： Hirota, Jun Takeno, Shiro Yamagishi, Yuji Cho, Yasuo Institute of Memory Technology Research and Development Toshiba Memory Corporation Mie Yokkaichi Japan Research Institute of Electrical Communication Tohoku University Sendai Japan

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Metal-Assisted Solid-Phase Crystallization Process for Vertical Monocrystalline Si Channel in 3D Flash memory

Metal-Assisted Solid-Phase Crystallization Process for Verti...

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International Electron Devices Meeting (IEDM)

作者： Hidenori Miyagawa Haruka Kusai Riichiro Takaishi Tomoya Kawai Yuuichi Kamimuta Toshiya Murakami Keiko Ariyoshi Takanori Asano Masakazu Goto Makoto Fujiwara Yuichiro Mitani Tomoyuki Obu Hideaki Aochi Institute of Memory Technology Research & Development Kioxia Corporation Yokkaichi Japan Western Digital Corporation Yokkaichi Japan

In order to improve the channel conductance of 3D flash memory cell, metal-assisted solid-phase single crystallization process has been demonstrated for the first time. Metal induced lateral crystallization (MILC) process is well-known for the thin film transistors (TFTs).We tried to apply this technology to channel Si in a vertical memory holes of 3D flash memory. Monocrystalline growth was confirmed by in- situ TEM and nano-beam diffraction (NBD) analysis. Moreover, it shows superior device characteristics (Icell, Vth, sub-threshold slope, transconductance) and those uniformities with maintaining memory performance and reliability.

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ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability

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Neuroinformatics 2022年第1期20卷 261-275页

作者： Turner, Jessica A. Calhoun, Vince D. Thompson, Paul M. Jahanshad, Neda Ching, Christopher R. K. Thomopoulos, Sophia I. Verner, Eric Strauss, Gregory P. Ahmed, Anthony O. Turner, Matthew D. Basodi, Sunitha Ford, Judith M. Mathalon, Daniel H. Preda, Adrian Belger, Aysenil Mueller, Bryon A. Lim, Kelvin O. van Erp, Theo G. M. Psychology Department Georgia State University Atlanta GA United States Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology Emory University Atlanta 30303 GA United States Imaging Genetics Center Mark & Mary Stevens Neuroimaging and Informatics Institute Keck School of Medicine University of Southern California Marina del Rey CA United States Departments of Psychology and Neuroscience University of Georgia Athens GA United States Weill Cornell Medicine Department of Psychiatry White Plains 10605 NY United States Veterans Affairs San Francisco Healthcare System San Francisco 94121 CA United States Department of Psychiatry and Behavioral Sciences University of California San Francisco 94121 CA United States Department of Psychiatry and Human Behavior University of California Irvine University of California Irvine Medical Center 101 The City Drive S Orange 92868 CA United States Department of Psychiatry and Frank Porter Graham Child Development Institute University of North Carolina at Chapel Hill 105 Smith Level Road Chapel Hill 27599-8180 NC United States Department of Psychiatry and Behavioral Sciences University of Minnesota Minneapolis 55414 MN United States Clinical Translational Neuroscience Laboratory Department of Psychiatry and Human Behavior University of California Irvine 5251 California Ave Irvine 92617 CA United States Center for the Neurobiology of Learning and Memory University of California Irvine 309 Qureshey Research Lab Irvine 92697 CA United States

The FAIR principles, as applied to clinical and neuroimaging data, reflect the goal of making research products Findable, Accessible, Interoperable, and Reusable. The use of the Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymized Computation (COINSTAC) platform in the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium combines the technological approach of decentralized analyses with the sociological approach of sharing data. In addition, ENIGMA + COINSTAC provides a platform to facilitate the use of machine-actionable data objects. We first present how ENIGMA and COINSTAC support the FAIR principles, and then showcase their integration with a decentralized meta-analysis of sex differences in negative symptom severity in schizophrenia, and finally present ongoing activities and plans to advance FAIR principles in ENIGMA + COINSTAC. ENIGMA and COINSTAC currently represent efforts toward improved Access, Interoperability, and Reusability. We highlight additional improvements needed in these areas, as well as future connections to other resources for expanded Findability. © 2021, The Author(s).

关键词： COINSTAC Data privacy Decentralized ENIGMA Meta-analysis

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MKP-1 reduces Aβ generation and alleviates cognitive impairments in Alzheimer’s disease models

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Signal Transduction and Targeted Therapy 2019年第1期4卷 149-160页

作者： Yehong Du Yexiang Du Yun Zhang Zhilin Huang Min Fu Junjie Li Yayan Pang Peng Lei Yu Tian Wang Weihong Song Guiqiong He Zhifang Dong Pediatric Research Institute Ministry of Education Key Laboratory of Child Development and DisordersNational Clinical Research Center for Child Health and DisordersChina International Science and Technology Cooperation Base of Child Development and Critical DisordersChongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory DisordersChildren’s Hospital of Chongqing Medical UniversityChongqing400014PR China Department of Anatomy Basic Medical CollegeChongqing Medical UniversityChongqing400016PR China Townsend Family Laboratories Department of PsychiatryThe University of British ColumbiaVancouverBCV6T 1Z3Canada West China School of Basic Medical Sciences and Forensic Medicine Sichuan UniversityChengdu610041SichuanChina Brain Research Centre The University of British ColumbiaVancouverBCV6T 2B5Canada

Mitogen-activated protein kinase(MAPK)phosphatase 1(MKP-1)is an essential negative regulator of MAPKs by dephosphorylating MAPKs at both tyrosine and threonine *** of the MAPK signaling pathway has been associated with Alzheimer’s disease(AD).However,the role of MKP-1 in AD pathogenesis remains ***,we report that MKP-1 levels were decreased in the brain tissues of patients with AD and an AD mouse *** reduction in MKP-1 gene expression appeared to be a result of transcriptional inhibition via transcription factor specificity protein 1(Sp1)cis-acting binding elements in the MKP-1 gene ***-β(Aβ)-induced Sp1 activation decreased MKP-1 ***,upregulation of MKP-1 inhibited the expression of both Aβprecursor protein(APP)andβ-site APP-cleaving enzyme 1 by inactivating the extracellular signal-regulated kinase 1/2(ERK)/MAPK signaling ***,upregulation of MKP-1 reduced Aβproduction and plaque formation and improved hippocampal long-term potentiation(LTP)and cognitive deficits in APP/PS1 transgenic *** results demonstrate that MKP-1 impairment facilitates the pathogenesis of AD,whereas upregulation of MKP-1 plays a neuroprotective role to reduce Alzheimer-related ***,this study suggests that MKP-1 is a novel molecule for AD treatment.

关键词： Alzheimer Aβ impairment

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Point of view: Challenges in implementation of new immunotherapies for Alzheimer's disease

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The journal of prevention of Alzheimer's disease 2025年第1期12卷 100022-100022页

作者： Aye, Sandar Johansson, Gunilla Hock, Christoph Lannfelt, Lars Sims, John R. Blennow, Kaj Frederiksen, Kristian S. Graff, Caroline Molinuevo, José Luis Scheltens, Philip Palmqvist, Sebastian Schöll, Michael Wimo, Anders Kivipelto, Miia Handels, Ron Frölich, Lutz Zilka, Norbert Tolar, Martin Johannsen, Peter Jönsson, Linus Winblad, Bengt Division of Neurogeriatrics Department of Neurobiology Care Sciences and Society Karolinska Institutet 171 64 Solna Sweden Neurimmune Switzerland Dept. of Public Health Geriatrics Uppsala University Sweden BioArctic AB Stockholm Sweden Eli Lilly and Company Indianapolis IN United States Inst. of Neuroscience and Physiology University of Gothenburg Mölndal Sweden Clinical Neurochemistry Lab Sahlgrenska University Hospital Mölndal Sweden Paris Brain Institute ICM Pitié-Salpêtrière Hospital Sorbonne University Paris France Neurodegenerative Disorder Research Center Division of Life Sciences and Medicine and Department of Neurology Institute on Aging and Brain Disorders University of Science and Technology of China and First Affiliated Hospital of USTC Hefei PR China Danish Dementia Research Center Department of Neurology Copenhagen University Hospital - Rigshospitalet Copenhagen Denmark Department of Clinical Medicine Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark Division of Neurogeriatrics Department of Neurobiology Care Sciences and Society Karolinska Institutet BioClinicum 171 64 Solna Sweden Theme Inflammation and Aging Unit for hereditary dementias Karolinska University Hospital Solna Sweden Global Clinical Development H. Lundbeck A/S 2500 Valby Denmark BarcelonaBeta Brain Research Center 08005 Barcelona Spain EQT Group Dementia Fund Amsterdam Netherlands Clinical Memory Research Unit Department of Clinical Sciences in Malmö Lund University Lund Sweden Memory Clinic Skåne University Hospital Sweden Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology The Sahlgrenska Academy University of Gothenburg Gothenburg Sweden Wallenberg Centre for Molecular and Translational Medicine University of Gothenburg Gothenburg Sweden Department of Psychiatry Cognition and Aging Psychiatry Sahlgrenska University Hospital Mölndal Sweden Dementia Research Centre Institute of Neurology Unive

The advancement of disease-modifying treatments (DMTs) for Alzheimer's disease (AD), along with the approval of three amyloid-targeting therapies in the US and several other countries, represents a significant development in the treatment landscape, offering new hope for addressing this once untreatable chronic progressive disease. However, significant challenges persist that could impede the successful integration of this class of drugs into clinical practice. These challenges include determining patient eligibility, appropriate use of diagnostic tools and genetic testing in patient care pathways, effective detection and monitoring of side effects, and improving the healthcare system's readiness by engaging both primary care and dementia specialists. Additionally, there are logistical concerns related to infrastructure, as well as cost-effectiveness and reimbursement issues. This article brings together insights from a diverse group of international researchers and dementia experts and outlines the potential challenges and opportunities, urging all stakeholders to prepare for the introduction of DMTs. We emphasize the need to develop appropriate use criteria, including patient characteristics, specifically for the European healthcare system, to ensure that treatments are administered to the most suitable patients. It is crucial to improve the skills and knowledge of physicians to accurately interpret biomarker results, share decision-making with patients, recognize treatment-related side effects, and monitor long-term treatment. We advocate for investment in patient registries and unbiased follow-up studies to better understand treatment effectiveness, evaluate treatment-related side effects, and optimize long-term treatment. Utilizing amyloid-targeting therapies as a starting point for combination therapies should also be a priority. Copyright © 2024. Published by Elsevier Masson SAS.

关键词： Alzheimer's disease Amyloid-targeting therapies Challenges in clinical implementation Disease-modifying treatments

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High-Sri concentration MOCVD-grown strained GeSn thin films evaluated using HAXPES and XRD base on synchrotron technique

High-Sri concentration MOCVD-grown strained GeSn thin films ...

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8th Symposium on SiGe, Ge, and Related Compounds: Materials, Processing, and Devices - AiMES 2018, ECS and SMEQ Joint International Meeting

作者： Usuda, K. Yoshiki, M. Suda, K. Ogura, A. Tomita, M. Future Memory Development Department Device Technology R and D Center Institute of Memory Technology R and D Toshiba Memory Corporation Kawasaki212-8582 Japan Research and Development Center Toshiba Corporation Kawasaki212-8582 Japan School of Science and Technology Meiji University Kawasaki214-8571 Japan

ISBN: (纸本)9781510871670

We demonstrate a GeSn growth method that uses new source gases to increase the Sn concentration of GeSn thin films, which are attracting attention as a next-generation semiconductor material for replacing for Si. Synchrotron radiation techniques are very useful for physical analysis of ultrathin films, particularly hard X-ray photoelectron spectroscopy, which can simultaneously analyze the outermost surface of the thin film and the bulk GeSn just underneath. As a result, we obtained results suggesting the growth of a high-quality GeSn thin film with suppression of surface Sn segregation and surface oxidation. Analysis of Sn concentration using a combination of Rutherford backscattering spectroscopy and secondary ion mass spectrometry revealed that the concentration of Sn was about 6.6 atom % and that the Sn content was uniform in the depth direction. These synchrotron techniques are expected to facilitate the preparation of high-quality, high-Sn GeSn thin films. © 2018 ECS Transactions. All rights reserved.

关键词： X ray diffraction

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Complete Multipartite Graph Codes

Complete Multipartite Graph Codes

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International Symposium on Information Theory and Its Applications, ISITA

作者： Yuta Kumano Yoshiyuki Sakamaki Hironori Uchikawa System Technology Research & Development Center Institute of Memory Technology Research & Development Toshiba Memory Corporation Corporate Research & Development Center Toshiba Corporation

ISBN: (纸本)9781538682234;9784885523182

Graph codes are constructed from undirected graphs where the code symbols correspond to the edges and component codes are associated with the vertices. We investigate graph codes on multigraphs whereas previous work has mainly studied them on simple graphs. This paper proposes graph codes constructed from complete multipartite graphs as generalizations of block-wise product codes. The graph codes show better error-correcting performance in error-floor region compared with block-wise product codes. This paper also shows an efficient encoding method for the graph codes by employing Richardson and Urbanke's encoding algorithm for LDPC codes.

关键词： Product codes Iterative decoding Bipartite graph Linear codes

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Author Correction: Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer's disease

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Nature communications 2024年第1期15卷 5784页

作者： Konstantinos Poulakis Joana B Pereira J-Sebastian Muehlboeck Lars-Olof Wahlund Örjan Smedby Giovanni Volpe Colin L Masters David Ames Yoshiki Niimi Takeshi Iwatsubo Daniel Ferreira Eric Westman Division of Clinical Geriatrics Department of Neurobiology Care Sciences and Society Karolinska Institutet Stockholm Sweden. konstantinos.poulakis@ki.se. Division of Clinical Geriatrics Department of Neurobiology Care Sciences and Society Karolinska Institutet Stockholm Sweden. Clinical Memory Research Unit Department of Clinical Sciences Lund University Malmo Sweden. Department of Biomedical Engineering and Health Systems (MTH) KTH Royal Institute of Technology Stockholm Sweden. Department of Physics University of Gothenburg Gothenburg Sweden. The Florey Institute of Neuroscience and Mental Health The University of Melbourne Victoria Australia. Academic Unit for Psychiatry of Old Age St George's Hospital University of Melbourne Melbourne Victoria Australia. National Ageing Research Institute Parkville Victoria Australia. Unit for Early and Exploratory Clinical Development The University of Tokyo Hospital Tokyo Japan. Department of Radiology Mayo Clinic Rochester MN USA. Department of Neuroimaging Centre for Neuroimaging Sciences Institute of Psychiatry Psychology and Neuroscience King's College London London UK.

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Spatial mapping of protein composition and tissue organization: A primer for multiplexed antibody-based imaging

arXiv

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arXiv 2021年

作者： Hickey, John W. Neumann, Elizabeth K. Radtke, Andrea J. Camarillo, Jeannie M. Beuschel, Rebecca T. Albanese, Alexandre McDonough, Elizabeth Hatler, Julia Wiblin, Anne E. Fisher, Jeremy Croteau, Josh Small, Eliza C. Sood, Anup Caprioli, Richard M. Angelo, R. Michael Nolan, Garry P. Chung, Kwanghun Hewitt, Stephen M. Germain, Ronald N. Spraggins, Jeffrey M. Lundberg, Emma Snyder, Michael P. Kelleher, Neil L. Saka, Sinem K. Department of Pathology Stanford University School of Medicine StanfordCA94305 United States Department of Biochemistry Vanderbilt University NashvilleTN37232 United States Mass Spectrometry Research Center Vanderbilt University NashvilleTN37232 United States Lymphocyte Biology Section Center for Advanced Tissue Imaging Laboratory of Immune System Biology NIAID NIH BethesdaMD20892 United States Department of Chemistry Molecular Biosciences The National Resource for Translational and Developmental Proteomics Northwestern University EvanstonIL60208 United States Institute for Medical Engineering and Science MIT CambridgeMA United States Picower Institute for Learning and Memory MIT CambridgeMA United States GE Research NiskayunaNY12309 United States Antibody Development Department Bio-techne MinneapolisMN55413 United States Department of Research and Development Abcam PLC Cambridge Biomedical Campus Discovery Drive CambridgeCB2 0AX United Kingdom Department of Research and Development Cell Signaling Technology Inc. DanversMA01923 United States Department of Applications Science BioLegend San DiegoCA92121 United States Thermo Fisher Scientific RockfordIL United States Department of Chemistry Vanderbilt University NashvilleTN37232 United States Department of Chemical Engineering MIT CambridgeMA United States Department of Brain and Cognitive Sciences MIT CambridgeMA United States Seoul Korea Republic of Yonsei-IBS Institute Yonsei University Seoul Korea Republic of Laboratory of Pathology Center for Cancer Research National Cancer Institute National Institutes of Health BethesdaMD20892 United States Department of Cell and Developmental Biology Vanderbilt University School of Medicine NashvilleTN37240 United States Science for Life Laboratory School of Engineering Sciences in Chemistry Biotechnology and Health KTH-Royal Institute of Technology Stockholm Sweden Department of Genetics Stanford University School o

Tissues and organs are composed of distinct cell types that must operate in concert to perform physiological functions. Efforts to create high-dimensional biomarker catalogs of these cells are largely based on transcriptomic single-cell approaches that lack the spatial context required to understand critical cellular communication and correlated structural organization. To probe in situ biology with sufficient coverage depth, several multiplexed protein imaging methods have recently been developed. Though these antibody-based technologies differ in strategy and mode of immunolabeling and detection tags, they commonly utilize antibodies directed against protein biomarkers to provide detailed spatial and functional maps of complex tissues. As these promising antibody-based multiplexing approaches become more widely adopted, new frameworks and considerations are critical for training future users, generating molecular tools, validating antibody panels, and harmonizing datasets. In this perspective, we provide essential resources, key considerations for obtaining robust and reproducible imaging data, and specialized knowledge from domain experts and technology developers. Copyright © 2021, The Authors. All rights reserved.

关键词： Antibodies

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