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Increased Expression and Altered Subcellular Distribution of Cathepsin B in Microglia Induces Cognitive Impairment through Oxidative Stress and Inflammatory Response in Mice

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神经药理学报 2018年第2期 27-28页

作者： NI Jun-jun WU Zhou Veronika Stoka christoph peters QING Hong Vito Turk Hiroshi Nakanishi Department of Aging Science and Pharmacology Faculty of Dental ScienceKyushu University Department of Biochemistry and Molecular and Structural Biology J.Stefan Institute Institute für Molekulare Medizin und Zellforshung Albert-Ludwigs-Universit?t Freiburg Beijing Key Laboratory of Separation and Analysis in Biomedical and Pharmaceuticals Department of Biomedical EngineeringSchool of Life ScienceBeijing Institute of Technology

Objective:During normal aging,innate immunity progresses to a chronic state. However,how oxidative stress and chronic neuroinflammation arise during aging remain unclear. In this study,we intended to demonstrate the novel function of Cathepsin B（ CatB） in the age related oxidative stress and chronic neuroinflammation. Methods:（1）2 month-old and 20 month-old wild-type and CatB;mice were used for learning and memory tests by step through passive avoidance tests. The cumulative potentiation of the field excitatory postsynaptic potential（ f EPSP） slope and dendritic spine density were also examined.（2）Inflammation were examined by immunoblotting of interleukin-1β（ IL-1β）,tumor necrosis factor-α（ TNF-α） and inducible nitric oxide synthase（ i NOS）,and oxidative stress were examined by checking the level of 8-oxo-7,8-dihydro-2’-deoxyguanosine（ 8-oxo-d G） and 4-hydroxynonenal（ 4-HNE） in the hippocampal lysate of 2 month-old and 20 month-old wild-type and CatB;mice.（3）Intra-lateral ventricle transplantation of CatB over-expressed microglia in middleaged mice,learning and memory were examined by Y-maze and novel objective tests. Results:（1）The retention latencies of both aged groups were significantly longer than those in the acquisition trial. The retention latency of four consecutive trials was significantly longer in aged CatB;mice than in aged wild-type mice. Furthermore,the mean relative f EPSP slope measured at 30 min after stimulationwith 25,50 and 100 Hz in the aged CatB;mice was significantly larger than that in the aged wildtype mice. The mean dendritic spine density of CA1 neurons in the aged CatB;mice was significantly larger than that in the aged wild-type mice.（2）The mean levels of CatB,i NOS,IL-1β and TNF-α in the hippocampus were significantly higher in aged wild-type mice than in younger animals. Furthermore,their mean levels in the hippocampus of aged CatB;mice were significantly lower than those in aged wild-type mice. The mean amounts of these oxidative ma

关键词： Increased Expression and Altered Subcellular Distribution of Cathepsin B in Microglia Induces Cognitive Impairment through Oxidative Stress and Inflammatory Response in Mice HNE

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Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

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npj Computational Materials 2020年第1期6卷 1592-1600页

作者： Zekun Ren Felipe Oviedo Maung Thway Siyu I.P.Tian Yue Wang Hansong Xue Jose Dario Perea Mariya Layurova Thomas Heumueller Erik Birgersson Armin G.Aberle christoph J.Brabec Rolf Stangl Qianxiao Li Shijing Sun Fen Lin Ian Marius peters Tonio Buonassisi Singapore-MIT Alliance for Research and Technology SMART Singapore 138602Singapore Solar Energy Research Institute of Singapore(SERIS) National University of SingaporeSingapore 117574Singapore Massachusetts Institute of Technology CambridgeMA 02139USA Institute of Materials for Electronics and Energy Technology(i-MEET) Friedrich-Alexander University Erlangen-Nürnberg91058 ErlangenGermany Helmholtz Institute HI-ErN Forschungszentrum JülichImmerwahrstrasse 291058 ErlangenGermany National University of Singapore Singapore 119077Singapore

Process optimization of photovoltaic devices is a time-intensive,trial-and-error endeavor,which lacks full transparency of the underlying physics and relies on user-imposed constraints that may or may not lead to a global ***,we demonstrate that embedding physics domain knowledge into a Bayesian network enables an optimization approach for gallium arsenide(GaAs)solar cells that identifies the root cause(s)of underperformance with layer-by-layer resolution and reveals alternative optimal process windows beyond traditional black-box *** Bayesian network approach links a key GaAs process variable(growth temperature)to material descriptors(bulk and interface properties,e.g.,bulk lifetime,doping,and surface recombination)and device performance parameters(e.g.,cell efficiency).For this purpose,we combine a Bayesian inference framework with a neural network surrogate device-physics model that is 100×faster than numerical *** the trained surrogate model and only a small number of experimental samples,our approach reduces significantly the time-consuming intervention and characterization required by the *** a demonstration of our method,in only five metal organic chemical vapor depositions,we identify a superior growth temperature profile for the window,bulk,and back surface field layer of a GaAs solar cell,without any secondary measurements,and demonstrate a 6.5%relative AM1.5G efficiency improvement above traditional grid search methods.

关键词： knowledge network enable

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Author Correction:Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

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npj Computational Materials 2020年第1期6卷 955-955页

作者： Zekun Ren Felipe Oviedo Maung Thway Siyu I.P.Tian Yue Wang Hansong Xue Jose Dario Perea Mariya Layurova Thomas Heumueller Erik Birgersson Armin G.Aberle christoph J.Brabec Rolf Stangl Qianxiao Li Shijing Sun Fen Lin Ian Marius peters Tonio Buonassisi Singapore-MIT Alliance for Research and Technology SMART Singapore Singapore Solar Energy Research Institute of Singapore (SERIS) National University of Singapore Singapore Singapore Massachusetts Institute of Technology Cambridge USA Institute of Materials for Electronics and Energy Technology (i-MEET) Friedrich-Alexander University Erlangen-Nürnberg Erlangen Germany Helmholtz Institute HI-ErN Forschungszentrum Jülich Erlangen Germany National University of Singapore Singapore Singapore

In the original version of the published Article,there was ambiguity in Eq.(1).To improve clarity,Eq.(1)has been corrected to the following.

关键词： enable corrected ambiguity

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Latest development status of Qcells *** NEO technology

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第十九届中国太阳级硅及光伏发电研讨会(19th CSPV)

作者： J?rg W.Müller Ansgar Mette Stefan H?rnlein Ingmar H?ger Martin Schaper Kai Petter Matthias Jungh?nel Christian Klenke Anika Weihrauch Hans-christoph Ploigt Ohjin Kwon Antje Sch?nmann Osama Tobail Kyunghun Kim Axel Schwabedissen Maximilian Kauert Klaus Duncker René H?nig Janko Cieslak Florian Stenzel Bj?rn Faulwetter-Quandt Jessica Scharf Friederike Kersten Benjamin Lee Sissel Tind Kristensen Olaf Schnelting Carsten Baer Martina Queck Gregor Zimmermann Matthias K?hler Nicole Lampa Britta Pohl-Hampel Lorenzo Burtone Larissa Niebergall Matthias Schütze Susanne Schulz Fabian Fertig Stefan peters Markus Fischer Qcells Thalheim R&D Center(Hanwha Q CELLS GmbH)

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