检索结果-内蒙古大学图书馆

Radiation Detection technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-Yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng Yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi Ling-Yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China Jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of Mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan Chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

来源：评论

学校读者我要写书评

暂无评论

Biochemical mechanisms and molecular interactions of vitamins in cancer therapy

引用

Cancer Pathogenesis and Therapy 2025年第1期3卷 3-15页

作者： Abdullahi T.Aborode Isreal A.Onifade Mercy M.Olorunshola Gladys O.Adenikinju Ibude J.Aruorivwooghene Adeboboye C.Femi Osasere Jude-Kelly Osayawe Abraham Osinuga Ebenezer A.Omojowolo Adekunle F.Adeoye Segun Olapade Ibroadhfrimed O.Acdoelaku Ogundepo D.Moyinoluwa Oluwatosin M.Adeyemo Godfred Y.Scott Ruth A.Ogbonna Emmanuel A.Fajemisin Omama Ehtasham Soyemi Toluwalashe Adetolase A.Bakre Ridwan O.Adesola Seto C.Ogunleye Nnenna R.Anyanwu Terungwa H.lorkula Department of Chemistry Mississippi State UniversityStarkvilleMS 39759USA Department of Biology University at AlbanyAlbanyNY 12222USA Department of Biological Sciences State University of New York at BinghantonBinghamtonNY 13902USA Department of Biological and Environmental Sciences University of Rhode IslandKingstonRI 02881USA Department of Biological Sciences University of Kansas Medical CenterKansasKS 66103USA Department of Microbiology Federal University of TechnologyAkure 340110Nigeria Department of Chemistry and Biochemistry Brigham Young UniversityProvoUT 84602USA 8 Department of Chemical and Biomolecular Engineering University of Nbraska-LincolnLincolnNE 68588USA9 Department of Chemistry University of AlbanyState University of New YorkAlbanyNY 12222USA Department of Mathematics and Statistics Georgia State UniversityAtlantaGA 30302USA Department of Chemistry University of LouisvilleLouisvilleKY 40208USA Department of Biochemistry Federal University of TechnologyAkure 340110Nigeria Deparment of Medical Diagnostics Kwame Nkrumah University of Science and TechnologyKumasi AK385Ghana Department of Research and Development Nasarawa State AIDS and STI Control ProgramNasarawaLafia 96210Nigeria Department of Integrative Biomedical Science University of Cape TownCape'Town 7701South Africa Department of Medicine and Surgery Karachi Medical and Dental CollegeKarachi 74700Pakistan Department of Medicine Lagos State University College of MedicineLagos 10010Nigeria Department of Veterinary Medicine Faculty of Veterinary MedicineUniversity of lbadanlbadan 200005Nigeria Faculty of Pharmaceutical Sciences University of JosPlateauJos 930003Nigeria

Recently,the potential role of vitamins in cancer therapy has attracted considerable research ***,the reported findings are inconsistent,with limited information on the biochemical and molecular interactions of different vitamins in various cancer ***,the presence of vitamin receptors in tumor cells suggests that vitamins play a significant role in the molecular and biochemical interactions in ***,studies on the efficacy of vitamin supplementation and dosage levels on tumor progression and mortality risk have yielded inconsistent ***,molecular and biochemical investigations have reported the function of vitamins in the proliferation,growth,and invasiveness of tumor cells,as well as in cell cycle arrest and inflammatory ***,different vitamins may regulate the cancer microenvironment by activating various molecular *** significantly affect immunological function,antioxidant defense,inflammation,and epigenetic control,and can improve treatment outcomes by affecting cell behavior and combating stress and DNA ***,further research is necessary to confirm the efficacy of vitamins,establish ideal dosages,and develop effective cancer prevention and treatment *** supplementation plans guided by medical knowledge are crucial to achieving optimal results in clinical and preclinical *** this review,we critically evaluated the effects of different vitamins on the risk and development of ***,we examined the potential of vitamin supplements to enhance the efficacy of drug therapy and counteract resistance mechanisms that often arise during cancer treatment.

关键词： Vitamins Cancer Biochemical Molecular interactions Therapy

来源：评论

学校读者我要写书评

暂无评论

Computational prediction and validation of specific EmbR binding site on PknH

引用

Synthetic and Systems Biotechnology 2021年第4期6卷 429-436页

作者： Insung Na Huanqin Dai Hantian Li Anvita Gupta David Kreda Powell Zhang Xiangyin Chen Lixin Zhang Gil Alterovitz Computational Health Informatics Program Boston Children’s Hospital/Harvard Medical SchoolBostonMA 02115USA Department of Medicine Brigham and Women’s Hospital/Harvard Medical SchoolBostonMA 02115USA State Key Laboratory of Mycology Institute of MicrobiologyBeijing100101 China Department of Computer Sciences Stanford UniversityStanford CA 94305USA Center for Biomedical Informatics Harvard Medical SchoolBostonMA 02115USA State Key Laboratory of Bioreactor Engineering East China University of Science and TechnologyShanghaiChina Department of Biology The Johns Hopkins UniversityBaltimoreMD 21218USA Lexington High School BostonMA 02115USA

Tuberculosis drug resistance continues to threaten global health but the underline molecular mechanisms are not ***(EMB),one of the well-known first-line drugs in tuberculosis treatment is,unfortunately,not free from drug resistance *** studies have shown that some genetic mutations in Mycobacterium tuberculosis(Mtb)EmbR,and EmbC/A/B genes cause EMB ***-PknH pair controls embC/A/B operon,which encodes EmbC/A/B genes,and EMB interacts with EmbA/B ***,the EmbR binding site on PknH was *** conducted molecular simulation on the EmbR-peptides binding structures and discovered phosphorylated PknH 273-280(N′-HEALS^(P)DPD-C′)makesβstrand with the EmbR FHA domain,asβ-MoRF(MoRF;molecular recognition feature)does at its binding *** bond number analysis also supported the peptides’β-MoRF forming activity at the EmbR FHA ***,we discovered that previously known phosphorylation residues might have their chronological order according to the phosphorylation *** discovery validated that Mtb PknH 273-280(N′-HEALSDPD-C′)has reliable EmbR binding *** approach is revolutionary in the computer-aided drug discovery field,because it is the first trial to discover the protein-protein interaction site,and find binding partner in nature from this site.

关键词： Disorder-to-order transition Protein intrinsic disorder Binding site prediction Drug resistance Molecular simulation

来源：评论

学校读者我要写书评

暂无评论

Recent advances of antibody drug conjugates for clinical applications

引用

Acta Pharmaceutica Sinica B 2020年第9期10卷 1589-1600页

作者： Pengxuan Zhao Yuebao Zhang Wenqing Li Christopher Jeanty Guangya Xiang Yizhou Dong Division of Pharmaceutics&Pharmacology College of Pharmacythe Ohio State UniversityColumbusOH 43210USA School of Pharmacy Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Department of Biomedical Engineering the Ohio State UniversityColumbusOH 43210USA The Center for Clinical and Translational Science the Ohio State UniversityColumbusOH 43210USA The Comprehensive Cancer Center the Ohio State UniversityColumbusOH 43210USA Dorothy M.Davis Heart&Lung Research Institute the Ohio State UniversityColumbusOH 43210USA Department of Radiation Oncology the Ohio State UniversityColumbusOH 43210USA Neuroscience Program College of Medicine&College of Arts and Sciencesthe Ohio State UniversityColumbusOH 43210USA

Antibody drug conjugates(ADCs)normally compose of a humanized antibody and small molecular drug via a chemical *** decades of preclinical and clinical studies,a series of ADCs have been widely used for treating specific tumor types in the clinic such as brentuximab vedotin(Adcetris?)for relapsed Hodgkin’s lymphoma and systemic anaplastic large cell lymphoma,gemtuzumab ozogamicin(Mylotarg?)for acute myeloid leukemia,ado-trastuzumab emtansine(Kadcyla?)for HER2-positive metastatic breast cancer,inotuzumab ozogamicin(Besponsa?)and most recently polatuzumab vedotin-piiq(Polivy?)for B cell *** than eighty ADCs have been investigated in different clinical stages from approximately six hundred clinical trials to *** review summarizes the key elements of ADCs and highlights recent advances of ADCs,as well as important lessons learned from clinical data,and future directions.

关键词： Antibody drug conjugates Antibody Cytotoxic agents Linker Clinical application

来源：评论

学校读者我要写书评

暂无评论

Ranking Magnetic Colloid Performance for Magnetic Particle Imaging and Magnetic Particle Hyperthermia

引用

Advanced Functional Materials 2025年第2期35卷 2412321页

作者： Carlton, Hayden Salimi, Marzieh Arepally, Nageshwar Bentolila, Gabriela Sharma, Anirudh Bibic, Adnan Newgren, Matt Goodwill, Patrick Attaluri, Anilchandra Korangath, Preethi Bulte, Jeff W.M. Ivkov, Robert Department of Radiation Oncology and Molecular Radiation Sciences the Johns Hopkins University School of Medicine BaltimoreMD21231 United States Russell H. Morgan Department of Radiology and Radiological Science Division of MR Research the Johns Hopkins University School of Medicine BaltimoreMD21205 United States Cellular Imaging Section and Vascular Biology Program Institute for Cell Engineering the Johns Hopkins University School of Medicine BaltimoreMD21205 United States Department of Mechanical Engineering School of Science Engineering and Technology The Pennsylvania State University – Harrisburg HarrisburgPA17057 United States F.M. Kirby Research Center for Functional Brain Imaging Kennedy Krieger Inc. BaltimoreMD21205 United States Magnetic Insight Inc. AlamedaCA94502 United States Department of Biomedical Engineering the Johns Hopkins University School of Medicine BaltimoreMD21205 United States Department of Chemical & Biomolecular Engineering Whiting School of Engineering Johns Hopkins University BaltimoreMD21218 United States Department of Oncology Sydney Kimmel Comprehensive Cancer Center Johns Hopkins University School of Medicine BaltimoreMD21287 United States Department of Mechanical Engineering Whiting School of Engineering Johns Hopkins University BaltimoreMD21218 United States Department of Materials Science and Engineering Whiting School of Engineering Johns Hopkins University BaltimoreMD21218 United States

Magnetic particle imaging (MPI) is an emerging modality that can address longstanding technological challenges encountered with magnetic particle hyperthermia (MPH) cancer therapy. MPI is a tracer technology compatible with MPH for which magnetic nanoparticles (MNPs) provide signal for MPI and heat for MPH. Identifying whether a specific MNP formulation is suitable for both modalities is essential for clinical implementation. Current models predict that functional requirements of each modality impose conflicting demands on nanoparticle magnetic properties. This objective here is to develop a measurement and ranking scheme based on end-use performance to streamline evaluation of candidate MNP formulations. The measured MPI point-spread function (PSF) and specific loss power (SLP) is combined to generate a single numerical value for comparison on a relative ranking scale, or figure of merit (FoM). 12 aqueous iron-containing formulations are evaluated, including FDA-approved (parenteral) iron-containing colloids. MNPs with high (Synomag-D70: 123.4), medium (Synomag-D50: 63.2), and low (NanoXact: 0.147) FoM values are selected for in vivo validation of the selection scheme in subcutaneous 4T1 tumors. Results demonstrate that the proposed ranking accurately assessed the relative performance of MNPs for MPI and MPH. Data demonstrated that image quality and tumor temperature rise increased with FoM ranking, validating predictions. It isshown that the MPI signal correlated with MNP concentration in tissue. Computational heat transfer models anchored on tumor MPI data harmonized with experimental results to within an average of 2 °C when MNP content estimated from MPI data is included. Computational studies emphasized the importance of post-injection MNP quantitation and MPI spatial resolution. © 2024 The Author(s). Advanced Functional Materials published by Wiley-VCH GmbH.

关键词： Hyperthermia therapy

来源：评论

学校读者我要写书评

暂无评论

Nanostructure-gated organic electrochemical transistors for accurate glucose monitoring in dynamic biological pH conditions

引用

Biosensors and Bioelectronics 2025年 287卷 117677页

作者： Ke Meng Jia Zhu Tianyao Zhang Xianzhe Zhang Yingying Zhang Xiangjie Chen Fan Li Yao Tong Senhao Zhang Donghai Qiu Hongbo Yang Shangbin Liu Lan Yin Rui Zhao Libin Huang Tao Li Min Gao Taisong Pan Jian Yang Huanyu Cheng Yuan Lin School of Materials and Energy University of Electronic Science and Technology of China Chengdu 610054 China Yangtze Delta Region Institute (Quzhou) University of Electronics Science and Technology of China Quzhou 324000 China Department of Engineering Science and Mechanics The Pennsylvania State University University Park PA 16802 USA Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Science Suzhou 215011 China School of Materials Science and Engineering Tsinghua University Beijing 100084 China Department of Gastroenterology West China Hospital Sichuan University Chengdu 610041 China Research Center for Industries of the Future Biomedical Engineering Program School of Engineering Westlake University Hangzhou Zhejiang 310030 China Medico-Engineering Cooperation on Applied Medicine Research Center University of Electronics Science and Technology of China Chengdu 610054 China

Non-invasive, real-time, and continuous monitoring of trace amounts of glucose in near-neutral biofluids is significant for the daily care and treatment of diabetic patients or people with suboptimal health status. Despite improved sensing performance with novel low-dimensional materials or porous structures in various enzymatic and non-enzymatic electrochemical glucose sensors, they still suffer from high cost, poor long-term stability, and performance fluctuations in varied temperature and pH. This work synergistically combines an Au-modified porous laser-induced graphene (LIG) gate electrode with an organic electrochemical transistor (OECT) to create a flexible non-enzymatic glucose sensor. The resulting OECT-based non-enzymatic glucose sensor exhibits significantly enhanced sensitivity in near-neutral biofluids, the limit of detection (LOD) (0.08 μM in pH = 7.4), excellent stability over time (degradation of ∼10 % in 180 days) and against temperature changes (30 °C–40 °C), self-pH calibration capabilities, and uncompromised sensing performance with shrinking sizes. The highly consistent laser patterning technique and in situ galvanic reduction process for electrode modifications not only provide a simple yet versatile approach to creating low-cost, compact sensing platforms for precise and real-time sweat glucose measurements but also support scalable production, allowing the correlation study of key biomarkers in sweat and blood.

关键词： Laser-induced graphene nanocomposite Long-term stability Non-enzymatic glucose sensor Organic electrochemical transistor Self-pH calibration

来源：评论

学校读者我要写书评

暂无评论

Hypoglycemic activity of curcuma mangga val. Extract via modulation of GLUT4 and ppar-γ mrna expression in 3T3-L1 adipocytes

引用

Journal of Experimental Pharmacology 2020年 12卷 363-369页

作者： Pujimulyani, Dwiyati Yulianto, Wisnu Adi Setyowati, Astuti Arumwardana, Seila Kusuma, Hanna Sari Widya Sholihah, Ika Adhani Rizal, Rizal Widowati, Wahyu Maruf, Ali Faculty of Agroindustry University of Mercu Buana Yogyakarta Yogyakarta 55753 Indonesia Biomolecular and Biomedical Research Center Aretha Medika Utama Bandung 40163 Indonesia Biomedical Engineering Study Program Department of Electrical Engineering Faculty of Engineering University of Indonesia Jakarta 16424 Indonesia Medical Research Center Faculty of Medicine Maranatha Christian University Bandung 40164 Indonesia Key Laboratory for Biorheological Science and Technology of Ministry of Education State and Local Joint Engineering Laboratory for Vascular Implants Bioengineering College Faculty of Medicine Chongqing University Chongqing 400030 China

Background: There would be over 600 million people living with diabetes by 2040 as predicted by the World Health Organization. Diabetes is characterized by raised blood sugar and insulin resistance. Insulin regulates the influx of glucose into the cell by upregulating the glucose transporter type 4 (GLUT4) expression on the plasma membrane. Besides, PPAR-γ also controls the metabolism of glucose in adipose tissues. Curcuma mangga Val., denoted as C. mangga, is a native Indonesian medicinal plant that has many beneficial effects, including an antidiabetic potential. Purpose: In this research, we aimed to disclose the hypoglycemic activity of ethanol extract of C. mangga (EECM) in 3T3-L1 fibroblasts-derived adipocyte cells in regulating glucose uptake as confirmed by the GLUT4 and PPAR-γ gene expression. Methods: The uptake of glucose was determined using radioactive glucose, while the gene expression of GLUT4, PPAR-γ, and β-actin was quantified using mRNA segregation and real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR). Results: We discovered that EECM interventions (200 and 50 μg/mL) increased glucose uptake in lipid-laden 3T3-L1 cells by 14.75 and 8.86 fold compared to the control noninsulin, respectively (p < 0.05). At the same doses, they also increased GLUT4 mRNA expression by 8.41 and 11.18 fold compared to the control non-insulin, respectively (p < 0.05). In contrast, EECM interventions (200 and 50 μg/mL) showed lower levels of PPAR-γ mRNA expression compared to the control metformin, indicating the anti-adipogenic potentials of EECM. Conclusion: EECM showed hypoglycemic activity in lipid-laden 3T3-L1 cells by improving glucose ingestion into the cells, which was mediated by increased GLUT4 expression and downregulated PPAR-γ expression. © 2020 Pujimulyani et al.

关键词： 3T3-L1 adipocytes Curcuma mangga Val Glucose uptake GLUT4 PPAR-γ

来源：评论

学校读者我要写书评

暂无评论

A consensus protocol for functional connectivity analysis in the rat brain (vol 26, pg 673, 2023)

引用

NATURE NEUROscience 2023年第6期26卷 1127-1128页

作者： Grandjean, Joanes Desrosiers-Gregoire, Gabriel Anckaerts, Cynthia Angeles-Valdez, Diego Ayad, Fadi Barriere, David A. Blockx, Ines Bortel, Aleksandra Broadwater, Margaret Cardoso, Beatriz M. Celestine, Marina Chavez-Negrete, Jorge E. Choi, Sangcheon Christiaen, Emma Clavijo, Perrin Colon-Perez, Luis Cramer, Samuel Daniele, Tolomeo Dempsey, Elaine Diao, Yujian Doelemeyer, Arno Dopfel, David Dvorakova, Lenka Falfan-Melgoza, Claudia Fernandes, Francisca F. Fowler, Caitlin F. Fuentes-Ibanez, Antonio Garin, Clement M. Gelderman, Eveline Golden, Carla E. M. Guo, Chao C. G. Henckens, Marloes J. A. G. Hennessy, Lauren A. Herman, Peter Hofwijks, Nita Horien, Corey Ionescu, Tudor M. Jones, Jolyon Kaesser, Johannes Kim, Eugene Lambers, Henriette Lazari, Alberto Lee, Sung-Ho Lillywhite, Amanda Liu, Yikang Liu, Yanyan Y. Lopez-Castro, Alejandra Lopez-Gil, Xavier Ma, Zilu MacNicol, Eilidh Madularu, Dan Mandino, Francesca Marciano, Sabina McAuslan, Matthew J. McCunn, Patrick McIntosh, Alison Meng, Xianzong Meyer-Baese, Lisa Missault, Stephan Moro, Federico Naessens, Daphne M. P. Nava-Gomez, Laura J. Nonaka, Hiroi Ortiz, Juan J. Paasonen, Jaakko Peeters, Lore M. Pereira, Mickael Perez, Pablo D. Pompilus, Marjory Prior, Malcolm Rakhmatullin, Rustam Reimann, Henning M. Reinwald, Jonathan Del Rio, Rodrigo Triana Rivera-Olvera, Alejandro Ruiz-Perez, Daniel Russo, Gabriele Rutten, Tobias J. Ryoke, Rie Sack, Markus Salvan, Piergiorgio Sanganahalli, Basavaraju G. Schroeter, Aileen Seewoo, Bhedita J. Selingue, Erwan Seuwen, Aline Shi, Bowen Sirmpilatze, Nikoloz Smith, Joanna A. B. Smith, Corrie Sobczak, Filip Stenroos, Petteri J. Straathof, Milou Strobelt, Sandra Sumiyoshi, Akira Takahashi, Kengo Torres-Garcia, Maria E. Tudela, Raul van den Berg, Monica van der Marel, Kajo van Hout, Aran T. B. Vertullo, Roberta Vidal, Benjamin Vrooman, Roel M. Wang, Victora X. Wank, Isabel Watson, David J. G. Yin, Ting Zhang, Yongzhi Zurbruegg, Stefan Achard, Sophie Alcauter, Sarael Auer, Dorothee P. Barbier, Emmanuel L. Baudewig, Juergen Beckmann, Chri Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada Integrated Program in Neuroscience McGill University Montreal QC Canada Bio-imaging Lab University of Antwerp Antwerp Belgium µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico Biological and Biomedical Engineering McGill University Montreal QC Canada McConnell Brain Imaging Centre McGill University Montreal QC Canada Montreal Neurological Institute McGill University Montreal QC Canada UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France Department of Neurology and Neurosurgery McGill University Montreal QC Canada Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA Department of Neurology University of North Carolina at Chapel Hill Chapel Hill NC USA Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill NC USA Preclinical MRI Champalimaud Research Champalimaud Centre for the Unknown Lisbon Portugal Laboratoire des Maladies Neurodégénératives Molecular Imaging Research Center (MIRCen) Université Paris-Saclay Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA) CNRS Fontenay-aux-Roses France Departamento de Neurobiología Conductual y Cognitiva Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro México Translational Neuroimaging and Neural Control Group High-Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tuebingen Germany Graduate Training Centre of Neuroscience International Max

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.

关键词： Databases Neural circuits

来源：评论

学校读者我要写书评

暂无评论

Search for electron-antineutrinos associated with gravitational-wave events GW150914,GW151012,GW151226,GW170104,GW170608,GW170814,and GW170817 at Daya Bay

引用

Chinese Physics C 2021年第5期45卷 190-201页

作者： F.P.An A.B.Balantekin H.R.Band M.Bishai S.Blyth G.F.Cao J.Cao J.F.Chang Y.Chang H.S.Chen S.M.Chen Y.Chen Y.X.Chen J.Cheng Z.K.Cheng J.J.Cherwinka M.C.Chu J.P.Cummings O.Dalager F.S.Deng Y.Y.Ding M.V.Diwan T.Dohnal J.Dove M.Dvorak D.A.Dwyer J.P.Gallo M.Gonchar G.H.Gong H.Gong W.Q.Gu J.Y.Guo L.Guo X.H.Guo Y.H.Guo Z.Guo R.W.Hackenburg S.Hans M.He K.M.Heeger Y.K.Heng A.Higuera Y.K.Hor Y.B.Hsiung B.Z.Hu J.R.Hu T.Hu Z.J.Hu H.X.Huang X.T.Huang Y.B.Huang P.Huber D.E.Jaffe K.L.Jen X.L.Ji X.P.Ji R.A.Johnson D.Jones L.Kang S.H.Kettell S.Kohn M.Kramer T.J.Langford J.Lee J.H.C.Lee R.T.Lei R.Leitner J.K.C.Leung F.Li J.J.Li Q.J.Li S.Li S.C.Li W.D.Li X.N.Li X.Q.Li Y.F.Li Z.B.Li H.Liang C.J.Lin G.L.Lin S.Lin J.J.Ling J.M.Link L.Littenberg B.R.Littlejohn J.C.Liu J.L.Liu C.Lu H.Q.Lu J.S.Lu K.B.Luk X.B.Ma X.Y.Ma Y.Q.Ma C.Marshall D.A.Martinez Caicedo K.T.MeDonald R.D.McKeown Y.Meng J.Napolitano D.Naumov E.Naumova J.P.Ochoa-Ricoux A.OIshevskiy H.-R.Pan J.Park S.Patton J.C.Peng C.S.J.Pun F.Z.Qi M.Qi X.Qian N.Raper J.Ren C.Morales Reveco R.Rosero B.Roskovec X.C.Ruan H.Steiner J.L.Sun T.Tmej K.Treskov W.-H.Tse C.E.Tull B.Viren V.Vorobel C.H.Wang J.Wang M.Wang N.Y.Wang R.G.Wang W.Wang W.Wang X.Wang Y.Wang Y.F.Wang Z.Wang Z.Wang Z.M.Wang H.Y.Wei L.H.Wei L.J.Wen K.Whisnant C.G.White H.L.H.Wong E.Worcester D.R.Wu F.L.Wu Q.Wu W.J.Wu D.M.Xia Z.Q.Xie Z.Z.Xing J.L.Xu T.Xu T.Xue C.G.Yang L.Yang Y.Z.Yang H.F.Yao M.Ye M.Yeh B.L.Young H.Z.Yu Z.Y.Yu B.B.Yue S.Zeng Y.Zeng L.Zhan C.Zhang F.Y.Zhang H.H.Zhang J.W.Zhang Q.M.Zhang X.T.Zhang Y.M.Zhang Y.X.Zhang Y.Y.Zhang Z.J.Zhang Z.P.Zhang Z.Y.Zhang J.Zhao L.Zhou H.L.Zhuang J.H.Zou Instiute of Modern Physics East China University of Science and TechnologyShanghai 200237 University of Wisconsin MadisonWisconsin 53706 Wright Laboratory and Department of Physics Yale UniversityNew HavenConnecticut 06520 Brookhaven National Laboratory UptonNew York 11973 Department of Physics National Taiwan UniversityTaipei Institute of High Energy Physics Beijing 100049 National United University Miao-Li Department of Engineering Physics Tsinghua UniversityBejing 100084 Shenzhen University Shenzhen 518060 Sun Yat-Sen(Zhongshan)University Guangzhou North China Electric Power University Bejjing 102206 Chinese University of Hong Kong Hong Kong 999077 Siena College LoudonvilleNew York 12211 Department of Physics and Astronomy University of CaliforniaIrvineCaliformia 92697 University of Science and Technology of China Hefei 230026 Charles University Faculty of Mathematics and PhysicsPrague Department of Physics University of llinois at Urbana-ChampaignUrbanaIlinois 61801 Lawrence Berkeley National Laboratory BerkeleyCalifornia 94720 Department of Physics Illinois Institute of TechnologyChicagoIllinois 60616 Joint Institute for Nuclear Research DubnaMoscow Region Beijing Normal University Beijing 100875 Department of Nuclear Science and Technology School of Energy and Power EngineeringXi'an Jiaotong UniversityXi'an 710049 Department of Physics University of HoustonHoustonTexas 77204 China Institute of Atomic Energy Beijing 102413 Shandong University Jinan 250100 Guangxi University Nanning 530004 Center for Neutrino Physics Virginia TechBlacksburgVirginia 24061 Institute of Physics National Chiao-Tung UniversityHsinchu Department of Physics University of CincinnatiCincinnatiOhio 45221 Department of Physies Collge of Science and TechnologyTemple UniversityPhiladelphiaPennsylvania 19122 Dongguan University of Technology Dongguan 523808 Department of Physics University of CaliforniaBerkeleyCalifornia 94720 Department of Physics The University of Hong KongPokfulamHong Kong 999077 School

The establishment of a possible connection between neutrino emission and gravitational-wave(GW)bursts is important to our understanding of the physical processes that occur when black holes or neutron stars *** the Daya Bay experiment,using the data collected from December 2011 to August 2017,a search was per-formed for electron-antineutrino signals that coincided with detected GW events,including GW150914,GW151012,GW151226,GW170104,GW170608,GW 170814,and GW *** used three time windows of±10,±500,and±1000 s relative to the occurrence of the GW events and a neutrino energy range of 1.8 to 100 MeV to search for correlated neutrino *** detected electron-antineutrino candidates were consistent with the expected background rates for all the three time *** monochromatic spectra,we found upper limits(90%confidence level)of the electron-antineutrino fluence of(1.13-2.44)×10^(11)cm^(-2)at 5 MeV to 8.0×10^(7)cm^(-2)at 100 MeV for the three time w *** the assumption of a Fermi-Dirac spectrum,the upper limits were found to be(5.4-7.0)×10^(9)cm^(2)for the three time windows.

关键词： grav itational waves electron-antineutrinos fluence upper limit

来源：评论

学校读者我要写书评

暂无评论

Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples

arXiv

引用

arXiv 2023年

作者： Song, Andrew H. Williams, Mane Williamson, Drew F.K. Jaume, Guillaume Zhang, Andrew Chen, Bowen Serafin, Robert Liu, Jonathan T.C. Baras, Alex Parwani, Anil V. Mahmood, Faisal Department of Pathology Brigham and Women’s Hospital Harvard Medical School BostonMA United States Department of Pathology Massachusetts General Hospital Harvard Medical School BostonMA United States Cancer Program Broad Institute of Harvard and MIT CambridgeMA United States Data Science Program Dana-Farber Cancer Institute BostonMA United States Department of Biomedical Informatics Harvard Medical School BostonMA United States Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology CambridgeMA United States Department of Mechanical Engineering Bioengineering Laboratory Medicine & Pathology University of Washington SeattleWA United States Department of Pathology Johns Hopkins Hospital BaltimoreMD United States Department of Biomedical Engineering Johns Hopkins Hospital BaltimoreMD United States Department of Pathology The Ohio State University ColumbusOH United States

Human tissue consists of complex structures that display a diversity of morphologies, forming a tissue microenvironment that is, by nature, three-dimensional (3D). However, the current standard-of-care involves slicing 3D tissue specimens into two-dimensional (2D) sections and selecting a few for microscopic evaluation1,2, with concomitant risks of sampling bias and misdiagnosis3–6. To this end, there have been intense efforts to capture 3D tissue morphology and transition to 3D pathology, with the development of multiple high-resolution 3D imaging modalities7–18. However, these tools have had little translation to clinical practice as manual evaluation of such large data by pathologists is impractical and there is a lack of computational platforms that can efficiently process the 3D images and provide patient-level clinical insights. Here we present Modality-Agnostic Multiple instance learning for volumetric Block Analysis (MAMBA), a deep-learning-based platform for processing 3D tissue images from diverse imaging modalities and predicting patient outcomes. Archived prostate cancer specimens were imaged with open-top light-sheet microscopy12–14 or microcomputed tomography15,16 and the resulting 3D datasets were used to train risk-stratification networks based on 5-year biochemical recurrence outcomes via MAMBA. With the 3D block-based approach, MAMBA achieves an area under the receiver operating characteristic curve (AUC) of 0.86 and 0.74, superior to 2D traditional single-slice-based prognostication (AUC of 0.79 and 0.57), suggesting superior prognostication with 3D morphological features. Further analyses reveal that the incorporation of greater tissue volume improves prognostic performance and mitigates risk prediction variability from sampling bias, suggesting that there is value in capturing larger extents of spatially heterogeneous 3D morphology. With the rapid growth and adoption of 3D spatial biology and pathology techniques by researchers and clinicians, M

关键词： Pathology

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：