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第四届新型太阳能电池学术研讨会

作者： Zhen Song Jiang Liu Gang Wang Wentao Zuo Cheng Liao Jun Mei Chengdu Green Energy and Green Manufacturing Technology R&D Centre Chengdu Development Center of Science and TechnologyChina Academy of Engineering Physics Science and Technology on Surface Physics and Chemistry Laboratory School of Materials Southwest University of Science and Technology

Lead halide perovskite solar cells(PSCs) with remarkable power conversion efficiency have attracted tremendous attention in recent ***, there still exist lots of problems which are not completely understood, and further studies are ***, the hole-transport layer(HTL) dependence of the photovoltaic performance evolution of perovskite solar cells is investigated in *** found that the freshly prepared devices using pristine spiro-OMeTAd and Li-doped spiro-OMeTAd as HTLs always exhibited S-shaped J-V curves with poor fill factor(FF).The devices showed progressively improved FF and efficiencies when exposed to air, which is attributed to air-exposure induced conductivity improvement in spiro-OMeTAd *** introducing a cobalt salt dopant(FK209) into spiro-OMeTAd layer, the corresponding devices showed remarkable performance without the need of air *** results confirmed that the dopant not only increases the conductivity of spiro-OMeTAd layer, but also tunes the surface potential, and this helps to improve the charge transport and reduce the recombination loss.

关键词： photovoltaic performance evolution spiro-OMeTAd conductivity surface potential

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40.4: New generation of capacitive Sensors of EELY—Out cell and On cell

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SId Symposium digest of Technical Papers 2018年第S1期49卷

作者： Kylin Li R&D Department EELY-ECW technology LTD. NO.6 Nan Yun 3rd Road Science City Guangzhou Development Zone China

This article mainly introduces the manufacturing process and product features of EELY's new generation OUT or ON Cell GF2 capacitor sensor, and emphasizes the comparison with other structural products. It can not ... 详细信息

关键词： Out cell On Cell GF2 structure Sensors process flow

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revisiting the Plasmodium falciparum druggable genome using predicted structures and data mining

NPJ drug discovery

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NPJ drug discovery 2025年第1期2卷 3页

作者： Karla P Godinez-Macias daisy Chen J Lincoln Wallis Miles G Siegel Anna Adam Selina Bopp Krypton Carolino Lauren B Coulson Greg durst Vandana Thathy Lisl Esherick Madeline A Farringer Erika L Flannery Barbara Forte Tiqing Liu Luma Godoy Magalhaes Anil K Gupta Eva S Istvan Tiantian Jiang Krittikorn Kumpornsin Karen Lobb Kyle J McLean Igor M r Moura John Okombo N Connor Payne Andrew Plater Srinivasa P S rao Jair L Siqueira-Neto Bente A Somsen robert L Summers rumin Zhang Michael K Gilson Francisco-Javier Gamo Brice Campo Beatriz Baragaña James duffy Ian H Gilbert Amanda K Lukens Koen J dechering Jacquin C Niles Case W McNamara Xiu Cheng Lyn-Marie Birkholtz Alfred W Bronkhorst david A Fidock dyann F Wirth daniel E Goldberg Marcus C S Lee Elizabeth A Winzeler Department of Pediatrics University of California San Diego La Jolla CA USA. Panorama Global 2101 4th Ave Ste 2100 Seattle WA USA. Lgenia Inc. 412 S Maple St Fortville IN USA. MMV Medicines for Malaria Venture 1215 Geneva Switzerland. Department of Immunology and Infectious Diseases Harvard T.H. Chan School of Public Health Boston MA USA. Holistic Drug Discovery and Development (H3D) Centre Institute of Infectious Disease and Molecular Medicine University of Cape Town Cape Town South Africa. Department of Microbiology and Immunology Columbia University Irving Medical Center New York NY USA. Center for Malaria Therapeutics and Antimicrobial Resistance Division of Infectious Diseases Department of Medicine Columbia University Irving Medical Center New York NY USA. Department of Biological Engineering Massachusetts Institute of Technology Cambridge MA USA. Division of Infectious Diseases Boston Children's Hospital Boston MA USA. Global Health Biomedical Research Novartis Emeryville CA USA. Drug Discovery Unit Division of Biological Chemistry and Drug Discovery School of Life Science University of Dundee Dundee UK. Skaggs School of Pharmacy and Pharmaceutical Sciences University of California San Diego La Jolla CA USA. Calibr-Skaggs Institute for Innovative Medicines a division of The Scripps Research Institute La Jolla CA USA. Division of Infectious Diseases Washington University School of Medicine Saint Louis MO USA. São Carlos Institute of Physics University of São Paulo São Carlos São Paulo Brazil. Center for Systems Biology Massachusetts General Hospital Boston MA USA. TropIQ Health Sciences Nijmegen The Netherlands. Infectious Disease and Microbiome Program Broad Institute Cambridge MA USA. Global Health Drug Discovery Institute Beijing China. Global Health Medicines R&D GlaxoSmithKline Tres Cantos Madrid Spain. Department of Biochemistry Genetics & Microbiology Institute for Sustainable Malaria Control University of Pretoria Private B

Identification of novel drug targets is a key component of modern drug discovery. While antimalarial targets are often identified through the mechanism of action studies on phenotypically derived inhibitors, this method tends to be time- and resource-consuming. The discoverable target space is also constrained by existing compound libraries and phenotypic assay conditions. Leveraging recent advances in protein structure prediction, we systematically assessed the genome and identified 867 candidate protein targets with evidence of small-molecule binding and blood-stage essentiality. Of these, 540 proteins showed strong essentiality evidence and lack inhibitors that have progressed to clinical trials. Expert review and rubric-based scoring of this subset based on additional criteria such as selectivity, structural information, and assay developability yielded 27 high-priority antimalarial target candidates. This study also provides a genome-wide data resource for and implements a generalizable framework for systematically evaluating and prioritizing novel pathogenic disease targets.

关键词： Target identification Target validation

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Correction to: Population pharmacokinetics of PF‑05280014 (a trastuzumab biosimilar) and reference trastuzumab (Herceptin®) in patients with HEr2‑positive metastatic breast cancer

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Cancer chemotherapy and pharmacology 2019年第3期84卷 667页

作者： Xiaoying Chen Cheryl Li reginald Ewesuedo donghua Yin Early Oncology Development and Clinical Research Pfizer Inc. 10777 Science Center Drive San Diego CA 2121 USA. xiaoying.chen@***. Clinical Pharmacology/Pharmacometrics Pfizer Essential Health Research and Development Pfizer Inc 300 Technology Square Cambridge MA 02140 USA. Pfizer Essential Health Biosimilars Clinical R&D Pfizer Inc 610 Main Street Cambridge MA 02139 USA. Early Oncology Development and Clinical Research Pfizer Inc. 10777 Science Center Drive San Diego CA 2121 USA.

The article "Population pharmacokinetics of PF-05280014 (a trastuzumab biosimilar) and reference trastuzumab (Herceptin) in patients with HEr2-positive metastatic breast cancer" written by Xiaoying Chen, Cheryl Li, reginald Ewesuedo, donghua Yin was originally published electronically on the publisher's internet portal (currently SpringerLink) on 3rd May 2019 without open access.

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Empirical comparison of three models for determining market clearing prices in Turkish day-ahead electricity market

arXiv

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arXiv 2017年

作者： Ceyhan, Gökhan Bahadir Sahin, H. Kurt, Nermin Elif derinkuyu, Kürşad Software R&D Specialist Energy Exchange Istanbul Turkey Application Development Specialist Energy Exchange Istanbul Turkey Dept. of Industrial Engineering TOBB University of Economy and Technology Turkey

Bidders in day-ahead electricity markets want to sell/buy electricity when their bids generate positive surplus and not to take an action when the reverse holds. However, non-convexities in these markets cause conflicts between the actions that the bidders want to take and the actual market results. In this work, we investigate the non-convex market clearing problem of Turkish market operator and propose three different rule sets. The first rule set allows both rejection of bids with positive surplus and acceptance of bids with negative surplus. The second and the third sets only allow one of these conflicted cases. By using total surplus maximization as the objective, we formulate three models and statistically explore their performance with the real data taken from Turkish market operator. Copyright © 2017, The Authors. All rights reserved.

关键词： Power markets

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Empirical comparison of three models for determining market clearing prices in Turkish day-ahead electricity market

Empirical comparison of three models for determining market ...

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International Conference on European Electricity Market, EEM

作者： Gookhan Ceyhan Nermin Elif Kurt H. Bahadir Sahin Kürşad derinkuyu Software R&D Specialist Energy Exchange Istanbul Turkey Application Development Specialist Energy Exchange Istanbul Turkey Dept. of Industrial Engineering TOBB University of Economy and Technology Turkey

关键词： Pricing Europe Biological system modeling Electricity supply industry Energy exchange Electronic mail Indexes

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Bird-mimetic Wing System of Flapping-wing Micro Air Vehicle with Autonomous Flight Control Capability

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Journal of Bionic Engineering 2016年第3期13卷 458-467页

作者： Sriyulianti Widhiarini Ji Hwan Park Bum Soo Yoon Kwang Joon Yoon ll-Hyun Paik Jong Heon Kim Chan Yik Park Seung Moon Jun Changho Nam Department of Aerospace Engineering Konkuk University Gwangjin-gu Seoul South Korea Deptartment of PGM Technology Hanwha Corp. R&D Center Daejeon South Korea Agency for Defense Development Daejeon South Korea Department of Engineering Technology Arizona State University Mesa Arizona

A micro air vehicle with a bird-mimetic up-down and twisting wing drive system was developed in this study. The Flap- ping-wing Micro Air Vehicle （FMAV）, with a 50 cm wingspan and a double-crank drive system, performed successful flights of up to 23 min. The performance and capabilities of the FMAV were enhanced by adapting a number of unique features, such as a bird-mimetic wing shape with a span-wise camber and an up-down and twisting wing drive mechanism with double-crank linkages, This lift-enhancing design by mimicking the flapping mechanism of a bird＇s wing enabled the 210 g FMAV to fly autonomously in an outdoor field under wind speeds of less than 5 m.s-1. Autonomous flight was enabled by installing a flight control computer with a micro-electro-mechanical gyroscope and accelerometers, along with a micro video camera and an ultralight wireless communication system inside the fuselage. A comprehensive wind tunnel test shows that the FMAV with a high-camber wing and double-crank mechanism generates more lift and less net thrust than the FMAV with a flat wing and single-crank mechanism, which confirms the improved performance of the developed FMAV, as well as the superior slow flying or hovering capabilities of the FMAV with a high-camber wing and double-crank wing drive system.

关键词： flapping-wing MAV autonomous flight biomimetic wing double crank wing

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The tracking machine learning challenge: Accuracy phase

arXiv

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arXiv 2019年

作者： Amrouche, Sabrina Basara, Laurent Calafiura, Paolo Estrade, Victor Farrell, Steven Ferreira, diogo r. Finnie, Liam Finnie, Nicole Germain, Cécile Gligorov, Vladimir Vava Golling, Tobias Gorbunov, Sergey Gray, Heather Guyon, Isabelle Hushchyn, Mikhail Innocente, Vincenzo Kiehn, Moritz Moyse, Edward Puget, Jean-François reina, Yuval rousseau, david Salzburger, Andreas Ustyuzhanin, Andrey Vlimant, Jean-roch Wind, Johan Sokrates Xylouris, Trian Yilmaz, Yetkin Département de Physique Nucléaire et Corpusculaire Université de Genève Geneva Switzerland LRI TAU Univ. Paris-Sud INRIA CNRS Université Paris-Saclay Gif-sur-Yvette France Physics Division Lawrence Berkeley National Laboratory University of California BerkeleyCA United States IST University of Lisbon Lisbon Portugal IBM Germany Research and Development Germany Bosch Center for Artificial Intelligence Germany LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS IN2P3 Paris France Goethe University Frankfurt am Main Germany UPSud INRIA Université Paris-Saclay Orsay France ChaLearn BerkeleyCA United States National Research University Higher School of Economics Yandex School of Data Analysis Moscow Russia CERN Geneva Switzerland Department of Physics University of Massachusetts AmherstMA United States Data and AI R&D IBM France Lab Biot France Tel-Aviv Israel LAL Univ. Paris-Sud CNRS IN2P3 Université Paris-Saclay Orsay France California Institute of Technology PasadenaCA United States Norwegian University of Science and Technology Oslo Norway Frankfurt Germany

This paper reports the results of an experiment in high energy physics: using the power of the "crowd" to solve difficult experimental problems linked to tracking accurately the trajectory of particles in the Large Hadron Collider (LHC). This experiment took the form of a machine learning challenge organized in 2018: the Tracking Machine Learning Challenge (TrackML). Its results were discussed at the competition session at the Neural Information Processing Systems conference (NeurIPS 2018). Given 100.000 points, the participants had to connect them into about 10.000 arcs of circles, following the trajectory of particles issued from very high energy proton collisions. The competition was difficult with a dozen front-runners well ahead of a pack. The single competition score is shown to be accurate and effective in selecting the best algorithms from the domain point of view. The competition has exposed a diversity of approaches, with various roles for Machine Learning, a number of which are discussed in the document. © 2019, CC BY.

关键词： Machine learning

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Cover Feature: Synthesis, Structures, and Thermal Properties of Symmetric and Janus “Lantern Cage” Siloxanes (Chem. Eur. J. 7/2019)

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Chemistry – A European Journal 2019年第7期25卷 1603-1603页

作者： Taishi Uchida dr. Yasunobu Egawa Takuto Adachi Naoki Oguri Masato Kobayashi Prof. dr. Takako Kudo Prof. dr. Nobuhiro Takeda Prof. dr. Masafumi Unno dr. ryoji Tanaka Department of Chemistry and Chemical Biology Graduate School of Science and Technology Gunma University Kiryu 376-8515 Gunma Japan Present Address: Frontier Research Group Research and Development (R&D) Center for Marine Bioscience Japan Agency for Marine-Earth Science and Technology (JAMSTEC) 2-15 Natsushima-cho Yokosuka 237-0061 Kanagawa Japan Inorganic Materials Chemistry Group Sagami Chemical Research Institute Ayase 252-1193 Kanagawa Japan Department of Pure and Applied Science Graduate School of Science and Technology Gunma University Kiryu 376-8515 Gunma Japan

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Fundamental experiments of eddy current testing for additive manufacturing metallic material toward in-process inspection

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AIP Conference Proceedings 2019年第1期2102卷

作者： Noriyasu Kobayashi Setsu Yamamoto Azusa Sugawara Masayo Nakane daisuke Tsuji Takehisa Hino Takahiro Terada Makoto Ochiai 1Nuclear System Technology R&D Dept. Toshiba Energy Systems & Solutions Corporation 8 Shinsugita-cho Isogo-ku Yokohama-shi Kanagawa 235-8523 Japan 2Technology & Production Planning Div. Toshiba Energy Systems & Solutions Corporation 72-34 Horikawa-cho Saiwai-ku Kawasaki-shi Kanagawa 212-8585 Japan 3Structural and Functional Materials Technology R&D Dept. Toshiba Energy Systems & Solutions Corporation 2-4 Suehiro-cho Tsurumi-ku Yokohama-shi Kanagawa 230-0045 Japan 4Corporate Manufacturing Engineering Center Toshiba Corporation 33 Shinisogo-cho Isogo-ku Yokohama-shi Kanagawa 235-0017 Japan 5Power and Industrial Systems Research and Development Center Toshiba Corporation 8 Shinsugita-cho Isogo-u Yokohama-shi Kanagawa 235-8523 Japan

We evaluated the detectability of the eddy current testing for the inner defects of the additive manufacturing specimens with the step and the slope on the surfaces by the fundamental experiments. The eddy current testing was able to detect the inner defects of 0.5 mm or more in diameter which were at the depth of 0.5 mm from the surfaces of the specimens in signal-to-noise ratio of 2 or more at the frequency of 250 kHz. We also confirmed that the signal post-processing for the acquired eddy current testing data had the potential to separate the inner defect signals from the noises caused by the surface shapes using the difference in the phase angle between the signals and the noises.

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