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Corrigendum: "Analysis of hot carrier instability in a floating body cell" [Jpn. J. Appl. Phys. 63, 094002 (2024)]

Japanese Journal of Applied Physics 2024年第11期63卷 119301-119301页

作者： Hiroomi Nakajima Tomoaki Shino Hironobu Furuhashi Jun Nishimura Tomoki Higashi Katsuyuki Fujita Kosuke Hatsuda ryo Fukuda Takeshi Kajiyama Memory Development Strategy Group2 Memory Development Strategy Division KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa-Pref. 247-8585 Japan File Memory Device Peripheral Element Development Group File Memory Device Engineering Department KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan Advanced Memory Development Center KIOXIA Corporation 800 Yamanoissiki-Cho Yokkaichi Mie-Pref. 510-0906 Japan Memory Device Engineering Department KIOXIA Systems Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa-Pref. 247-8585 Japan Circuit Technology Research Department AI & System Research Center Frontier Technology R&D Institute KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan Memory Design Group 4 Memory Design Department 2 Memory Design Managing Department KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan

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LBA4: Osimertinib (osi) after definitive chemoradiotherapy (CrT) in patients (pts) with unresectable (Ur) stage III EGFr-mutated (EGFrm) non-small cell lung cancer (NSCLC): Updated overall survival (OS) analysis from the LAUrA study

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Journal of Thoracic Oncology 2025年第3期20卷 S123-S124页

作者： S.S. ramalingam M. Ozguroglu M-J. Ahn X. dong J.C-H. Yang S. Oizumi K. Goto M.A. Cobo dols S-W. Kim T-C. Hsia J. Chindaprasirt F. Fujiki N.I. Valdiviezo Lama I.A. Casarini T. Kato X. Huang A.L. Evans A.L. Bolanos S. Lu Department of Hematology and Medical Oncology Emory University School of Medicine Winship Cancer Institute Atlanta United States of America Department of Internal Medicine Division of Medical Oncology Clinical Trial Unit Istanbul University-Cerrahpaşa Cerrahpaşa Faculty of Medicine Istanbul Türkiye Division of Hematology-Oncology Department of Medicine Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea Cancer Center Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China Department of Oncology National Taiwan University Hospital and National Taiwan University Cancer Center Taipei City Taiwan Department of Respiratory Medicine NHO Hokkaido Cancer Center Sapporo Japan Department of Thoracic Oncology National Cancer Center Hospital East Kashiwa Japan Unidad de Gestión Clínica Intercentros de Oncología Médica Hospitales Universitarios Regional y Virgen de la Victoria IBIMA Málaga Spain Department of Oncology Asan Medical Center Seoul Republic of Korea Department of Internal Medicine China Medical University Hospital Taichung Taiwan Department of Internal Medicine Faculty of Medicine Khon Kaen University Khon Kaen Thailand ICESP – Instituto do Ca?ncer do Estado de Sa?o Paulo Sao Paulo Brazil Department of Oncology Instituto Nacional de Enfermedades Neoplasicas Surquillo Peru Servicio Oncología Hospital Bernardo Houssay Buenos Aires Argentina Department of Thoracic Oncology Kanagawa Cancer Center Yokohama Japan Biometrics Late-Stage Development Oncology R&D AstraZeneca Cambridge United Kingdom Late-Stage Development Oncology R&D AstraZeneca Macclesfield United Kingdom Late-Stage Development Oncology R&D AstraZeneca Mississauga Canada Shanghai Lung Cancer Center Shanghai Chest Hospital School of Medicine Shanghai Jiao Tong University Shanghai China

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retracted: Artificial intelligence point-to-point signal communication network optimization based on ubiquitous clouds

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International Journal of Communication Systems 2020年第6期34卷

作者： Lin Hong Lianbing deng daming Li Harry Haoxiang Wang School of Management Beijing Normal University at Zhuhai Zhuhai China The Post-Doctoral Research Center Zhuhai Da Hengqin Science and Technology Development Co. Ltd Zhuhai China Department of R&D Guangdong Qinzhi Science and Technology Research Institute Zhuhai China Department of R&D Huazhong University of Science and Technology Wuhan China Institute of Data Science City University of Macau Macau China Department of R&D GoPerception Laboratory Ithaca New York USA

At present, the application of communication network has spread to every area of social life. The progress of network technology has driven the development of information technology industry and the advancement of cloud computing. With the application of artificial intelligence and deep learning technology, the network becomes more and more intelligent, so the application of artificial intelligence theory in communication network optimization modeling is more extensive. In this paper, we propose the ubiquitous clouds framework and apply the artificial intelligence optimization scheme to the point-to-point (P2P) signal transmission network optimization scheme. For different application scenarios, this paper analyzes and experiments the proposed method. The experimental results show that the proposed method makes full use of the advantages of communication network resources which improves the efficiency of communication network optimization and also reduces the optimization cost to a certain extent compared with the state-of-the-art approaches.

关键词： artificial intelligence communication network neural network optimization particle swarm optimization (PSO) point-to-point transmission ubiquitous clouds

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Chromoselective Photocatalysis Enables Stereocomplementary Biocatalytic Pathways

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Angewandte Chemie (Weinheim an der Bergstrasse, Germany) 2021年第13期133卷 7041-7045页

作者： Luca Schmermund Susanne reischauer Sarah Bierbaumer Christoph K Winkler Alba diaz-rodriguez Lee J Edwards Selin Kara Tamara Mielke Jared Cartwright Gideon Grogan Bartholomäus Pieber Wolfgang Kroutil Institute of Chemistry Department of Organic and Bioorganic Chemistry University of Graz NAWI Graz BioTechMed Graz Heinrichstrasse 28 8010 Graz Austria. Department of Biomolecular Systems Max Planck Institute of Colloids and Interfaces Am Mühlenberg1 14476 Potsdam Germany. Chemical Development Medicinal Science and Technology Pharma R&D GlaxoSmithKline Medicines Research Centre Gunnels Wood Road Stevenage SG1 2NY UK. Department of Engineering Biological and Chemical Engineering Biocatalysis and Bioprocessing Group Aarhus University Gustav Wieds Vej 10 8000 Aarhus Denmark. Department of Chemistry University of York Heslington York YO10 5DD UK. Field of Excellence BioHealth- University of Graz 8010 Graz Austria.

Controlling the selectivity of a chemical reaction with external stimuli is common in thermal processes, but rare in visible-light photocatalysis. Here we show that the redox potential of a carbon nitride photocatalyst (CN-OA-m) can be tuned by changing the irradiation wavelength to generate electron holes with different oxidation potentials. This tuning was the key to realizing photo-chemo-enzymatic cascades that give either the ()- or the ()-enantiomer of phenylethanol. In combination with an unspecific peroxygenase from , green light irradiation of CN-OA-m led to the enantioselective hydroxylation of ethylbenzene to ()-1-phenylethanol (99 % ). In contrast, blue light irradiation triggered the photocatalytic oxidation of ethylbenzene to acetophenone, which in turn was enantioselectively reduced with an alcohol dehydrogenase from to form ()-1-phenylethanol (93 % ).

关键词： C−H activation carbon nitrides chromoselectivity photobiocatalysis unspecific peroxygenases

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A Simple Mathematical Model for Establishing Isothermal Transformation Kinetics from Continuous Cooling data

SSRN

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SSrN 2020年

作者： Kim, Jeong Min Kang, Minwoo Goo, Nam Hoon Hong, Seung-Hyun Shim, Jae-Hyeok Lee, Young-Kook Lee, Kyung Jong Division of Materials Science and Engineering Hanyang University Seoul04763 Korea Republic of Center for Energy Materials Research Korea Institute of Science and Technology Seoul02792 Korea Republic of Metallic Materials Research Lab. Automotive Research and Development Division Hyundai Motor Group Gyeonggi18280 Korea Republic of R&D Center Hyundai Steel Company Chungnam31719 Korea Republic of Department of Materials Science and Engineering Yonsei University Seoul03722 Korea Republic of

A simple mathematical model for establishing isothermal transformation kinetics from continuous cooling transformation data is presented. A new regression function of k, which is a reaction parameter of the Johnson-Mehl-Avrami equation is proposed. The isothermal transformation kinetics of austenite-pearlite transformation in a eutectoid steel is converted from continuous cooling transformation data using the regression function in combination with the inverse additivity rule. The converted isothermal transformation kinetics excellently agrees with experimental results irrespective of temperature, showing a big improvement compared with a previous model. © 2020, The Authors. All rights reserved.

关键词： Kinetics

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Cover Feature: Aquivion-Based Spray Freeze-dried Composite Materials for the Cascade Production of γ-Valerolactone (ChemSusChem 14/2024)

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ChemSusChem 2024年第14期17卷

作者： dr. Alessandro Allegri Anna Saotta Francesca Liuzzi Prof. Enrica Gianotti dr. Geo Paul dr. Alice S. Cattaneo dr. Claudio Oldani Andrea Brigliadori dr. Ilaria Zanoni Prof. Giuseppe Fornasari Prof. Nikolaos dimitratos Prof. Stefania Albonetti Department of Industrial Chemistry C3-Centre for Chemical Catalysis CIRI-FRAME Alma Mater Studiorum – University of Bologna Viale Risorgimento 4 40136 Bologna Italy Department for Sustainable Development and Ecological Transition Università del Piemonte Orientale P.zza Sant'Eusebio 5 13100 Vercelli Italy Department of Science and Technological Innovation Università del Piemonte Orientale Via T. Michel 11 15100 Alessandria Italy R&D Centre Solvay Specialty Polymers Spa Viale Lombardia 20 20021 Bollate Italy CNR-ISSMC Institute of Science Technology and Sustainability for Ceramics National Research Council of Italy Via Granarolo 64 48018 Faenza Italy

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Application of LithoScanner Logging technology in CO2 Geological Storage Injection Well

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IOP Conference Series: Earth and Environmental Science 2021年第2期781卷

作者： Ping Yan Xizhou Yue Xiaopan Kou Gang Hu Qian Yin Jinyu Chang Fuqiang Lai Logging Application Research Institute China Petroleum Logging CO.LTD Xi'an 710077 China China Oilfield Services LTD Well-tech R&D Institute Beijing 101149 China Exploration and Development Research Institute of Changqing oilfield Company Xi'an 710021 China Key Laboratory of Complex Oil and Gas Field Exploration and Development Chongqing University of Science and Technology Chongqing 401331 China

The formation evaluation in a primary formation of a CO2 sequestration project in Western Australia has been very challenging due to the presence of glauconite and other iron rich minerals. The conventional method cannot handle the mineralogy effects, hence the accurate porosity, clay type and clay content cannot be calculated accurately. The latest generation in spectroscopy technology LithoScanner was brought to the project and run in well A for the first time in Australia. The tool has a high output pulse neutron generator and unique cerium-doped lanthanum bromide (LaBr3:Cr) gamma ray detector. This combination enables the tool to measure both inelastic and capture spectra for an expanded set of elements from that of previous-generation tools. We are measuring elements that make up more than 99% of the average abundance in the earth's crust. Measuring the elements is the starting point to calculate minerals, matrix density and those are key to obtain accurate reserves estimates (porosity) and build an accurate petrophysical and reservoir model. For well A, the LithoScanner elements weight fractions are used in the Techlog QuantiElan module to solve mineralogy that includes quartz, K-feldspar, calcite, siderite, pyrite, illite, kaolinite, glauconite and chlorite. There is a very good agreement between the computed mineralogy and the mineralogy from core measurements. LithoScanner provides a continuous log of matrix density that is used as an input to porosity calculations. This formation evaluation based on Litho Scanner does not require the subjective inputs from the log analysis, but completely rely on the tool's reading. It can be used for both simple and complex formation to obtain the good consistency and accurate answers.

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development of responsive well plugging material in carbonate reservoir

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Journal of Physics: Conference Series 2021年第1期1777卷

作者： T Zhou J T Liu X J Kong F Qian W J Li Z Zhong N Jing J Feng Q Zheng Y X Gu J Y Li Y Y Li X Shi Y d Sun CNPC Engineering Technology R&D Company Limited. Beijing 102206 China China National Oil and Gas Exploration and Development Corporation Beijing 100034 China Drilling Technology Service Company BHDC Tianjin 300280 China Greatwall Drilling Company Drilling Technology Service Company Panjin 124010 China The fourth branch of China Petroleum Pipeline Bureau Engineering Co. Ltd Langfang 065000 China

One of the most critical problems limiting the exploration and development of the Central Asia and Middle East Areas is lost circulation caused by the natural fracture propagating in carbonate reservoir. Traditional plugging materials had limited performance due to poor adaptability to carbonate formation. This paper investigated the mechanism of lost circulation in Central Asia and Middle East Areas, and a new responsive fracture plugging materials was developed. After implementation, the complexities treatment time was shortened and drilling efficiency was increased. The main types of lost circulation mechanism are summarized and analysed by studied the reservoir characteristics of Central Asia and Middle East Areas. A physical model of horizontal V funnel leakage channel in the target block was established to simulate the migration and plugging process of plugging particles in natural fractures. Based on the analysis of the flow and accumulation pattern of the plugging fluid in the leakage channel with different aperture ratio, a statistical model of the particle flow in the plugging material was established. A response controllable solidification plugging material was developed. The application results show that, the responsive solidification controllable well plugging material could rapidly accumulate in the 1mm and 3mm fractures in the upper sealing formation. The mud cake has good toughness with compressive strength of 3.4-9.5MPa, which achieves a rapid and high-strength plugging for the fracture formation. The acid soluble consolidation plugging material, mainly composed of curing agent, retarder, suspending agent, etc., is developed for long open hole section. The dissolution rate could reach up to 91%, the plugging strength of the solidified plug is up to 10MPa and which could be stable for 15d under 150°C. This innovative anti-lost circulation materials for carbonate reservoirs can effectively solve the problem of serious loss of production due to sever l

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Cover Feature: Tetrazole-Based Energetic Metal-Organic Frameworks: Impacts of Metals and Ligands on Explosive Properties (Eur. J. Inorg. Chem. 1/2022)

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European Journal of Inorganic Chemistry 2021年第1期2022卷

作者： Sujee Cho Yeongjin Kim Soochan Lee Hyeonsoo Cho Jonghoon Park doo Hwan Hong dr. Kuktae Kwon dr. Hae-Wook Yoo Prof. Wonyoung Choe Prof. Hoi ri Moon Department of Chemistry Ulsan National Institute of Science and Technology (UNIST) 50 UNIST-gil Ulju-gun Ulsan 44919 Republic of Korea The 1th R&D Institute – 2nd Directorate Agency for Defense Development (ADD) Bugyuseong-daero 488beon-gil Uichang-gu Daejeon 34186 Republic of Korea

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Person re-identification with fusion of hand-crafted and deep pose-based body region features

arXiv

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arXiv 2018年

作者： Johnson, Jubin Yasugi, Shunsuke Sugino, Yoichi Pranata, Sugiri Shen, Shengmei Panasonic R&D Center Singapore Panasonic Corporation Core Element Technology Development Center Japan

Person re-identification (re-Id) aims to accurately retrieve a person from a large-scale database of images captured across multiple cameras. Existing works learn deep representations using a large training subset of unique persons. However, identifying unseen persons is critical for a good re-Id algorithm. Moreover, the misalignment between person crops to detection errors or pose variations leads to poor feature matching. In this work, we present a fusion of handcrafted features and deep feature representation learned using multiple body parts to complement the global body features that achieves high performance on unseen test images. Pose information is used to detect body regions that are passed through Convolutional Neural Networks (CNN) to guide feature learning. Finally, a metric learning step enables robust distance matching on a discriminative subspace. Experimental results on 4 popular re-Id benchmark datasets namely VIPer, dukeMTMC-reId, Market-1501 and CUHK03 show that the proposed method achieves state-of-the-art performance in image-based person re-identification. Copyright © 2018, The Authors. All rights reserved.

关键词： Benchmarking

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