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38th International Cosmic Ray Conference, ICRC 2023

作者： Kim, Jihyun Ivanov, Dmitri Kawata, Kazumasa Sagawa, Hiroyuki Thomson, Gordon Abbasi, R.U. Abe, Y. Abu-Zayyad, T. Allen, M. Arai, Y. Arimura, R. Barcikowski, E. Belz, J.W. Bergman, D.R. Blake, S.A. Buckland, I. Cheon, B.G. Chikawa, M. Fedynitch, A. Fujii, T. Fujisue, K. Fujita, K. Fujiwara, R. Fukushima, M. Furlich, G. Gerber, Z. Globus, N. Hanlon, W. Hayashida, N. He, H. Hibi, R. Hibino, K. Higuchi, R. Honda, K. Ikeda, D. Inoue, N. Ishii, T. Ito, H. Ivanov, D. Iwasaki, A. Jeong, H.M. Jeong, S. Jui, C.C.H. Kadota, K. Kakimoto, F. Kalashev, O. Kasahara, K. Kasami, S. Kawakami, S. Kawata, K. Kharuk, I. Kido, E. Kim, H.B. Kim, J.H. Kim, S.W. Kimura, Y. Komae, I. Komori, K. Kusumori, Y. Kuznetsov, M. Kwon, Y.J. Lee, K.H. Lee, M.J. Lubsandorzhiev, B. Lundquist, J.P. Matsuyama, T. Matthews, J.A. Matthews, J.N. Mayta, R. Miyashita, K. Mizuno, K. Mori, M. Murakami, M. Myers, I. Nagataki, S. Nakai, K. Nakamura, T. Nishio, E. Nonaka, T. Ogio, S. Ohoka, H. Okazaki, N. Oku, Y. Okuda, T. Omura, Y. Onishi, M. Ono, M. Oshima, A. Oshima, H. Ozawa, S. Park, I.H. Park, K.Y. Potts, M. Pshirkov, M.S. Remington, J. Rodriguez, D.C. Rott, C. Rubtsov, G.I. Ryu, D. Sagawa, H. Saito, R. Sakaki, N. Sako, T. Sakurai, N. Sato, D. Sato, K. Sato, S. Sekino, K. Shah, P.D. Shibata, N. Shibata, T. Shikita, J. Shimodaira, H. Shin, B.K. Shin, H.S. Shinto, D. Smith, J.D. Sokolsky, P. Stokes, B.T. Stroman, T.A. Takagi, Y. Takahashi, K. Takamura, M. Takeda, M. Takeishi, R. Taketa, A. Takita, M. Tameda, Y. Tanaka, K. Tanaka, M. Thomas, S.B. Thomson, G.B. Tinyakov, P. Tkachev, I. Tokuno, H. Tomida, T. Troitsky, S. Tsuda, R. Tsunesada, Y. Udo, S. Urban, F. Vaiman, I.A. Warren, D. Wong, T. Yamazaki, K. Yashiro, K. Yoshida, F. Zhezher, Y. Zundel, Z. Department of Physics Loyola University Chicago ChicagoIL60660 United States Academic Assembly School of Science and Technology Institute of Engineering Shinshu University Nagano Nagano380-8554 Japan High Energy Astrophysics Institute Department of Physics and Astronomy University of Utah Salt Lake CityUT84112-0830 United States Graduate School of Science Osaka Metropolitan University Sugimoto Sumiyoshi Osaka558-8585 Japan Department of Physics The Research Institute of Natural Science Hanyang University Seongdong-gu Seoul426-791 Korea Republic of Institute for Cosmic Ray Research University of Tokyo Kashiwa Chiba277-8582 Japan Institute of Physics Academia Sinica Taipei City115201 Taiwan Nambu Yoichiro Institute of Theoretical and Experimental Physics Osaka Metropolitan University Sugimoto Sumiyoshi Osaka558-8585 Japan Astrophysical Big Bang Laboratory RIKEN Wako Saitama351-0198 Japan Faculty of Engineering Kanagawa University Kanagawa Yokohama221-8686 Japan Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Kofu Yamanashi400-8511 Japan The Graduate School of Science and Engineering Saitama University Saitama Saitama338-8570 Japan Department of Physics SungKyunKwan University Jang-an-gu Suwon16419 Korea Republic of Department of Physics Tokyo City University Setagaya-ku Tokyo158-8557 Japan Institute for Nuclear Research The Russian Academy of Sciences Moscow117312 Russia Faculty of Systems Engineering and Science Shibaura Institute of Technology Minato-ku Tokyo337-8570 Japan Graduate School of Engineering Osaka Electro-Communication University Neyagawa-shi Osaka572-8530 Japan Service de Physique Théorique Université Libre de Bruxelles Brussels1050 Belgium Department of Physics Yonsei University Seodaemun-gu Seoul120-749 Korea Republic of Center for Astrophysics and Cosmology University of Nova Gorica Nova Gorica5297 Slovenia Faculty of Science Kochi University Kochi Kochi

Ultra-high energy cosmic rays (UHECRs) are extremely energetic, charged particles with energies greater than 1018 eV, originating from outer space. We investigate anisotropic patterns in the arrival direction distribution of UHECRs to identify their source locations. The Telescope Array (TA) experiment, the largest UHECR observatory in the northern hemisphere, has observed evidence of two intermediate-scale anisotropies in UHECR arrival direction distributions: the TA Hotspot and the Perseus-Pisces supercluster excess. In this presentation, we will describe an oversampling analysis that we performed to find the excess of events using the data measured by the TA surface detector array. We will report the latest results of the TA Hotspot and Perseus-Pisces supercluster excesses. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Anisotropy

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NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods ...

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2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Li, Yawei Zhang, Yulun Timofte, Radu Van Gool, Luc Yu, Lei Li, Youwei Li, Xinpeng Jiang, Ting Wu, Qi Han, Mingyan Lin, Wenjie Jiang, Chengzhi Luo, Jinting Fan, Haoqiang Liu, Shuaicheng Wang, Yucong Cai, Minjie Li, Mingxi Zhang, Yuhang Fan, Xian-Jun Sheng, Yankai Mao, Yanyu Zhang, Nihao Wang, Qian Zheng, Mingjun Sun, Long Pan, Jinshan Dong, Jiangxin Tang, Jinhui Yang, Zhongbao Wang, Yan Pan, Erlin Cai, Qixuan Dai, Xinan Zhussip, Magauiya Kalyazin, Nikolay Vyal, Dmitry Zou, Xueyi Yan, Youliang Chung, Heaseo Zhang, Jin Yu, Gaocheng Zhang, Feng Wang, Hongbin Liao, Bohao Du, Zhibo Wu, Yu-Liang Shi, Gege Peng, Long Wang, Yang Cao, Yang Zha, Zhengjun Huang, Zhi-Kai Chen, Yi-Chung Chiang, Yuan-Chun Yang, Hao-Hsiang Chen, Wei-Ting Chang, Hua-En Chen, I-Hsiang Hsieh, Chia-Hsuan Kuo, Sy-Yen Liu, Xin Pan, Jiahao Yu, Hongyuan Yu, Weichen Ge, Lin Dong, Jiahua Zou, Yajun Wu, Zhuoyuan Han, Binnan Zhang, Xiaolin Zhang, Heng Yin, Xuanwu Zuo, Kunlong Deng, Weijian Yuan, Hongjie Lu, Zengtong Ouyang, Mingyu Ma, Wenzhuo Liu, Nian Zheng, Hanyou Zhang, Yuantong Zhang, Junxi Chen, Zhenzhong Gendy, Garas Sabor, Nabil Hou, Jingchao He, Guanghui Zhu, Yurui Wang, Xi Fu, Xueyang Zha, Zheng-Jun Yin, Daheng Liu, Mengyang Chen, Baijun Li, Ao Luo, Lei Jin, Kangjun Zhu, Ce Zhang, Xiaoming Xie, Chengxing Li, Linze Meng, Haiteng Zhang, Tianlin Li, Tianrui Zhao, Xiaole Zhang, Zhao Li, Baiang Zheng, Huan Zhao, Suiyi Gao, Yangcheng Ren, Jiahuan Hu, Kang Shi, Jingpeng Wu, Zhijian Huang, Dingjiang Zhu, Jinchen Li, Hui Xv, Qianru Liu, Tianle Weng, Shizhuang Wu, Gang Jiang, Junpeng Liu, Xianming Jiang, Junjun Zhang, Mingjian Hu, Jing Wu, Chengxu Fan, Qinrui Feng, Chengming Luo, Ziwei Hu, Shu Lyu, Siwei Wu, Xi Wang, Xin Computer Vision Lab ETH Zurich Switzerland Computer Vision Lab University of Würzburg Germany Megvii Technology China MicroBT China College of Computer Science and Electronic Engineering Hunan University China Attrsense Xian University of Posts and Telecommunications Xi'an China National Engineering Laboratory for Cyber Event Warning and Control Technologies China Nanjing University of Science and Technology China Nankai University China University of Electronic Science and Technology of China China Tianjin University China Noah's Ark Lab Huawei Technologies McMaster University Canada Espresomedia Korea Republic of AntGroup China University of Science and Technology of China China Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taiwan ServiceNow United States China Mobile Research Institute China Chongqing University of Technology China Multimedia Department Xiaomi Inc. China Institute of Automation Chinese Academy of Sciences China Shenyang Institute of Automation Chinese Academy of Sciences China School of Information and Communication Engineering Communication University of China China Smart Classroom Division Ruijie Networks Co. Ltd. China School of Remote Sensing and Information Engineering Wuhan University China Micro-Nano Electronics Department Shanghai Jiao Tong University Shanghai200240 China Electrical Engineering Department Faculty of Engineering Assiut University Assiut71516 Egypt Southeast University China University of Electronic Science and Technology of China Chengdu China Chongqing University of Posts and Telecommunications Chongqing China Information Technology Co. Ltd Hangzhou China Southwest Jiaotong University China National Space Science Center Chinese Academy of Science China Hefei University of Technology Hefei China Anhui University China Fried Ric

ISBN: (纸本)9798350302493

This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge had 272 registered participants, and 35 teams made valid submissions. They gauge the state-of-the-art for efficient single-image super-resolution. © 2023 IEEE.

关键词： Optical resolving power

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Automated Leukemia Screening and Sub-types Classification Using Deep Learning

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Computer systems science & engineering 2023年第9期46卷 3541-3558页

作者： Chaudhary Hassan Abbas Gondal Muhammad Irfan Sarmad Shafique Muhammad Salman Bashir Mansoor Ahmed Osama M.Alshehri Hassan H.Almasoudi Samar M.Alqhtani Mohammed M.Jalal Malik A.Altayar Khalaf F.Alsharif Department of Computer Science COMSATS University Islamabad44000Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Control Automotive and Robotics LabNational Center of Robotics and Automation(NCRA HEC)MirpurPakistan Mirpur University of Science and Technology(MUST)MirpurPakistan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Clinical Laboratory Sciences College of Applied Medical SciencesNajran UniversityNajran61441Saudi Arabia Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Medical Laboratory Technology Faculty of Applied Medical SciencesUniversity of TabukTabukSaudi Arabia Department of Clinical Laboratory Sciences College of Applied Medical SciencesTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

Leukemia is a kind of blood cancer that damages the cells in the blood and bone marrow of the human *** produces cancerous blood cells that disturb the human’s immune system and significantly affect bone marrow’s production ability to effectively create different types of blood cells like red blood cells(RBCs)and white blood cells(WBC),and *** can be diagnosed manually by taking a complete blood count test of the patient’s blood,from which medical professionals can investigate the signs of leukemia ***,two other methods,microscopic inspection of blood smears and bone marrow aspiration,are also utilized while examining the patient for ***,all these methods are labor-intensive,slow,inaccurate,and require a lot of human experience and *** authors have proposed automated detection systems for leukemia diagnosis to overcome these *** have deployed digital image processing and machine learning algorithms to classify the cells into normal and blast ***,these systems are more efficient,reliable,and fast than previous manual diagnosing ***,more work is required to classify leukemia-affected cells due to the complex characteristics of blood images and leukemia cells having much intra-class variability and inter-class *** this paper,we have proposed a robust automated system to diagnose leukemia and its *** have classified ALL into its sub-types based on FAB classification,i.e.,L1,L2,and L3 types with better *** have achieved 96.06%accuracy for subtypes classification,which is better when compared with the state-of-the-art methodologies.

关键词： Healthcare cancer detection deep learning convolutional neural network

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Constructive barrier feedback for collision avoidance in leader-follower formation control

arXiv

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arXiv 2023年

作者： Tang, Zhiqi Cunha, Rita Hamel, Tarek Silvestre, Carlos Institute for Systems and Robotics Instituto Superior Técnico Universidade de Lisboa Portugal Division of Decision and Control Systems KTH Royal Institute of Technology Sweden I3S-CNRS Université Côte d'Azur Institut Universitaire de France France Department of Electrical and Computer Engineering The Faculty of Science and Technology The University of Macau China

This paper proposes a novel constructive barrier feedback for reactive collision avoidance between two agents. It incorporates this feature in a formation tracking control strategy for a group of 2nd-order dynamic robots defined in three-dimensional space. Using only relative measurements between neighboring agents, we propose an elegant decentralized controller as the sum of a nominal tracking controller and the constructive barrier feedback for leader-follower formations under a directed single-spanning tree graph topology. The key ingredient is the use of divergent flow as a dissipative term, which slows down the relative velocity in the direction of the neighboring robots without compromising the nominal controller's performance. Compared to traditional barrier function-based optimization controllers, the proposed constructive barrier feedback avoids feasibility issues and results in more computationally efficient control algorithms with systematic equilibrium analysis. Simulations are provided to validate the effectiveness of the proposed control method. © 2023, CC BY-NC-ND.

关键词： Collision avoidance

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Short-term load forecasting of building electricity consumption using NARX neural networks model 6

Short-term load forecasting of building electricity consumpt...

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6th International Conference on Smart and Sustainable Technologies, SpliTech 2021

作者： Zuazo, Irati Zapirain Boussaada, Zina Aginako, Naiara Curea, Octavian Camblong, Haritza Sierra, Basilio Faculty of Engeneering of Gipuzkoa Department of Systems Engineering and Control Plaza de Europa 1 Donostia-San Sebastián20018 Spain Univ. Bordeaux ESTIA INSTITUTE of TECHNOLOGY BidartF-64210 France Faculty of Engeneering of Gipuzkoa Department of Computer Science and Artificial Intelligence Plaza de Europa 1 Donostia-San Sebastián20018 Spain

ISBN: (纸本)9789532901122

Electric grid, as we nowadays know it, is undergoing a significant transformation. What we are now witnessing is an undoubted change of trend towards a decentralized and decarbonized electric grid, where the electric generation based on local resources will take on special relevance. In this context, the encouragement of collective self-consumption becomes one of the key issues when it comes to taking steps forward to this end. One of the aspects that will contribute to this aim is the development of a consumption-forecasting tool. Hence, a load-forecasting model based on NARX Neural Network is proposed in the following paper. The prediction of the next day (24h) load profile of an individual building is carried out aiming an optimal management of the flexible loads so to achieve the maximum self-consumption. To ensure a consistent behavior of the NARX Neural Network model, identification and removing of outliers, together with data normalization and fixing common time interval has been carried out. The first results of the research are promising, being obtained a 17, 6% MAPE in NARX and 25, 19% with LSTM model, both evaluated during a regular week on winter in adverse conditions. © 2021 University of Split, FESB.

关键词： Distributed power generation

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Qualitative Behavior of a Nonlinear Generalized Recursive Sequence with Delay

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Mathematical Problems in engineering 2021年第1期2021卷

作者： Ibrahim, Tarek F. Khan, Abdul Qadeer Ibrahim, Abdelhameed Department of Mathematics Faculty of Science Mansoura University Mansoura Egypt King Khalid University Abha Saudi Arabia Department of Mathematics University of Azad Jammu and Kashmir Muzaffarabad13100 Pakistan Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

Difference equations are of growing importance in engineering in view of their applications in discrete time-systems used in association with microprocessors. We will check out the global stability and boundedness for... 详细信息

关键词： Difference equations

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Systematic uncertainty in the analysis of the TA fluorescence detector from fluorescence yield models 38

Systematic uncertainty in the analysis of the TA fluorescenc...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Komori, Kohei Tameda, Yuichiro Sato, Shoma Takagi, Yutaro Kusumori, Yuki Iwagami, Hirai Ogio, Shoichi Fujita, Keitaro Tomida, Takayuki Abbasi, R.U. Abe, Y. Abu-Zayyad, T. Allen, M. Arai, Y. Arimura, R. Barcikowski, E. Belz, J.W. Bergman, D.R. Blake, S.A. Buckland, I. Cheon, B.G. Chikawa, M. Fedynitch, A. Fujii, T. Fujisue, K. Fujita, K. Fujiwara, R. Fukushima, M. Furlich, G. Gerber, Z. Globus, N. Hanlon, W. Hayashida, N. He, H. Hibi, R. Hibino, K. Higuchi, R. Honda, K. Ikeda, D. Inoue, N. Ishii, T. Ito, H. Ivanov, D. Iwasaki, A. Jeong, H.M. Jeong, S. Jui, C.C.H. Kadota, K. Kakimoto, F. Kalashev, O. Kasahara, K. Kasami, S. Kawakami, S. Kawata, K. Kharuk, I. Kido, E. Kim, H.B. Kim, J.H. Kim, J.H. Kim, S.W. Kimura, Y. Komae, I. Komori, K. Kusumori, Y. Kuznetsov, M. Kwon, Y.J. Lee, K.H. Lee, M.J. Lubsandorzhiev, B. Lundquist, J.P. Matsuyama, T. Matthews, J.A. Matthews, J.N. Mayta, R. Miyashita, K. Mizuno, K. Mori, M. Murakami, M. Myers, I. Nagataki, S. Nakai, K. Nakamura, T. Nishio, E. Nonaka, T. Ogio, S. Ohoka, H. Okazaki, N. Oku, Y. Okuda, T. Omura, Y. Onishi, M. Ono, M. Oshima, A. Oshima, H. Ozawa, S. Park, I.H. Park, K.Y. Potts, M. Pshirkov, M.S. Remington, J. Rodriguez, D.C. Rott, C. Rubtsov, G.I. Ryu, D. Sagawa, H. Saito, R. Sakaki, N. Sako, T. Sakurai, N. Sato, D. Sato, K. Sato, S. Sekino, K. Shah, P.D. Shibata, N. Shibata, T. Shikita, J. Shimodaira, H. Shin, B.K. Shin, H.S. Shinto, D. Smith, J.D. Sokolsky, P. Stokes, B.T. Stroman, T.A. Takagi, Y. Takahashi, K. Takamura, M. Takeda, M. Takeishi, R. Taketa, A. Takita, M. Tameda, Y. Tanaka, K. Tanaka, M. Thomas, S.B. Thomson, G.B. Tinyakov, P. Tkachev, I. Tokuno, H. Tomida, T. Troitsky, S. Tsuda, R. Tsunesada, Y. Udo, S. Urban, F. Vaiman, I.A. Warren, D. Wong, T. Yamazaki, K. Yashiro, K. Yoshida, F. Zhezher, Y. Zundel, Z. Graduate School of Engineering Osaka Electro-Communication University 18-8 Hastutyo Neyagawa-shi Osaka572-0833 Japan Institute for Cosmic Ray Research The University of Tokyo 5 chome 1-5 kashiwanoha Kashiwa-shi Chiba277-0882 Japan Academic Assembly School of Science and Technology Institute of Engineering Shinshu University 3 chome 1-1 asahi Matsumoto-shi Nagano390-8621 Japan Department of Physics Loyola University Chicago ChicagoIL60660 United States Academic Assembly School of Science and Technology Institute of Engineering Shinshu University Nagano Nagano380-8554 Japan High Energy Astrophysics Institute Department of Physics and Astronomy University of Utah Salt Lake CityUT84112-0830 United States Graduate School of Science Osaka Metropolitan University Sugimoto Sumiyoshi Osaka 558-8585 Japan Department of Physics The Research Institute of Natural Science Hanyang University Seongdong-gu Seoul426-791 Korea Republic of Institute for Cosmic Ray Research University of Tokyo Chiba Kashiwa277-8582 Japan Institute of Physics Academia Sinica Taipei City115201 Taiwan Nambu Yoichiro Institute of Theoretical and Experimental Physics Osaka Metropolitan University Sugimoto Sumiyoshi Osaka558-8585 Japan Astrophysical Big Bang Laboratory RIKEN Saitama Wako351-0198 Japan Faculty of Engineering Kanagawa University Kanagawa Yokohama221-8686 Japan Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Kofu400-8511 Japan The Graduate School of Science and Engineering Saitama University Saitama Saitama338-8570 Japan Department of Physics SungKyunKwan University Jang-an-gu Suwon16419 Korea Republic of Department of Physics Tokyo City University Setagaya-ku Tokyo158-8557 Japan Institute for Nuclear Research The Russian Academy of Sciences Moscow117312 Russia Faculty of Systems Engineering and Science Shibaura Institute of Technology Minato-ku Tokyo337-8570 Japan Graduate School of Engineer

Currently, ultra-high energy cosmic rays (UHECRs) are being measured by the Telescope Array (TA) and Pierre Auger (Auger) experiments. There are differences in the energy spectra measured by TA and Auger. One reason for this difference is systematic uncertainty in the energy determination. The fluorescence yield model, which consists of fluorescence emission efficiencies and spectra, is one of the most significant components of this systematic uncertainty. Fluorescence emission efficiencies and spectra have been measured by various experiments, and different measurements are currently used to determine the energy of the TA and Auger experiments. In this study, we estimate the influence of the fluorescence yield model on the systematic uncertainty in the energy determination of the TA fluorescence detector. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Fluorescence

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Genome degradation promotes Salmonella pathoadaptation by remodeling fimbriae-mediated proinflammatory response

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National science Review 2023年第10期10卷 32-43页

作者： Xiao Zhou Xiamei Kang Jiaqi Chen Yan Song Chenghao Jia Lin Teng Yanting Tang Zhijie Jiang Xianqi Peng Xiaoxi Tao Yiwei Xu Linlin Huang Xuebin Xu Yaohui Xu Tengfei Zhang Shenye Yu Jiansen Gong Shaohui Wang Yuqing Liu Guoqiang Zhu Corinna Kehrenberg Fran?ois-Xavier Weill Paul Barrow Yan Li Guoping Zhao Min Yue Institute of Preventive Veterinary Sciences and Department of Veterinary Medicine Zhejiang University College of Animal Sciences Ningbo Academy of Agricultural Sciences Hainan Institute of Zhejiang University Department of Microbiology Laboratory Shanghai Municipal Center for Disease Control and Prevention College of Veterinary Medicine Henan University of Animal Husbandry and Economy Key Laboratory of Prevention and Control Agents for Animal Bacteriosis Institute of Animal Husbandry and Veterinary Hubei Academy of Agricultural Sciences Division of Bacterial Diseases State Key Laboratory of Veterinary BiotechnologyHarbin Veterinary Research InstituteChinese Academy of Agricultural Sciences Poultry Institute Chinese Academy of Agricultural Sciences Department of Animal Public Health Shanghai Veterinary Research Institute Chinese Academy of Agricultural Sciences Shandong Key Laboratory of Animal Disease Control and Breeding Institute of Animal Science and Veterinary MedicineShandong Academy of Agricultural Sciences College of Veterinary Medicine Yangzhou University Institute for Veterinary Food Science Faculty of Veterinary MedicineJustus-Liebig University Giessen Institut Pasteur Université Paris Cité Unité des bactéries pathogènes entériques School of Veterinary Medicine University of Surrey School of Life Science Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences CAS Key Laboratory of Synthetic Biology Institute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of Sciences Department of Microbiology and Microbial Engineering School of Life SciencesFudan University State Key Laboratory for Diagnosis and Treatment of Infectious Diseases National Clinical Research Center for Infectious DiseasesNational Medical Center for Infectious DiseasesThe First Affiliated Hospital College of Medicine Zhejiang University Zhejiang Provincial Key Laboratory of Preventive Veterinary Medicine

Understanding changes in pathogen behavior(*** virulence,a shift in transmission channel) is critical for the public health management of emerging infectious *** degradation via gene depletion or inactivation is recognized as a pathoadaptive feature of the pathogen evolving with the ***,little is known about the exact role of genome degradation in affecting pathogenic behavior,and the underlying molecular detail has yet to be *** large-scale global avian-restricted Salmonella genomes spanning more than a century,we projected the genetic diversity of Salmonella Pullorum(bvSP)by showing increasingly antimicrobial-resistant ST92 prevalent in Chinese *** phylogenomic analysis identified three lineages in bvSP,with an enhancement of virulence in the two recently emerged lineages(L2/L3),as evidenced in chicken and embryo infection ***,the ancestor L1 lineage resembles the Salmonella serovars with higher metabolic flexibilities and more robust environmental tolerance,indicating stepwise evolutionary trajectories towards avian-restricted ***-genome analysis pinpointed fimbrial degradation from a virulent *** later engineeredfim-deletion mutant,and all other five fimbrial systems,revealed behavior switching that restricted horizontal fecal-oral transmission but boosted virulence in *** depleting fimbrial appendages,bvSP established persistent replication with less proinflammation in chick macrophages and adopted vertical transovarial transmission,accompanied by ever-increasing intensification in the poultry ***,we uncovered a previously unseen paradigm for remodeling bacterial surface appendages that supplements virulence-enhanced evolution with increased vertical transmission.

关键词： Salmonella host adaptation pathogenic evolution virulence evolution vertical transmission fimbrial adhesin

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COHEN-MACAULAY REPRESENTATIONS OF ARTIN-SCHELTER GORENSTEIN ALGEBRAS OF DIMENSION ONE

arXiv

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arXiv 2024年

作者： Iyama, Osamu Kimura, Yuta Ueyama, Kenta Graduate School of Mathematical Sciences The University of Tokyo 3-8-1 Komaba Meguroku Tokyo 153-8914 Japan Department of Mechanical Systems Engineering Faculty of Engineering Hiroshima Institute of Technology 2-1-1 Miyake Saeki-ku Hiroshima731-5143 Japan Osaka Central Advanced Mathematical Institute Osaka Metropolitan University 3-3-138 Sugimoto Sumiyoshi-ku Osaka558-8585 Japan Department of Mathematics Faculty of Science Shinshu University 3-1-1 Asahi Mat-sumoto Nagano390-8621 Japan

The existence of a tilting or silting object is an important feature for an algebraic triangulated category since it gives an equivalence with the derived category of a ring. By applying tilting theory, we study Cohen-Macaulay representations of N-graded Artin-Schelter Gorenstein algebras (formula presented), where do not assume that A0 is a field. This is a large class of noncommutative Gorenstein rings containing Gorenstein orders. In this paper, we concentrate on the case where A has dimension one. Under the assumptions that A is ring-indecomposable and A0 has finite global dimension, we show that the stable category (formula presented) always admits an (explicitly constructed) silting object. We also show that (formula presented) admits a tilting object if and only if either A is Artin-Schelter regular or the average Gorenstein parameter (formula presented) of A is non-positive. These results are far-reaching generalizations of the results of Buchweitz, Iyama, and Yamaura. We give two different proofs of the second result;one is based on Orlov-type semiorthogonal decompositions, and the other is based on a more direct calculation. We apply our results to a Gorenstein tiled order A to prove that CM A is equivalent to the derived category of the incidence algebra of an (explicitly constructed) poset. We also apply our results and Koszul duality to prove that the derived category Db(qgr B) of a smooth noncommutative projective quadric hypersurface qgr B admits an (explicitly constructed) tilting object, which contains the tilting object of CM B due to Smith and Van den Bergh as a direct summand. Copyright © 2024, The Authors. All rights reserved.

关键词： Algebra

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Teleoperation of Humanoid Robots: A Survey

arXiv

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arXiv 2023年

作者： Darvish, Kourosh Penco, Luigi Ramos, Joao Cisneros, Rafael Pratt, Jerry Yoshida, Eiichi Ivaldi, Serena Pucci, Daniele Artificial and Mechanical Intelligence Center for Robotics and Intelligent Systems Istituto Italiano di Tecnologia Genoa Italy Florida Institute for Human and Machine Cognition 40 S Alcaniz St PensacolaFL32502 United States Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign United States Department of Information Technology and Human Factors Tsukuba Japan Inria Loria Université de Lorraine CNRS Nancy France Department of Applied Electronics Faculty of Advanced Engineering Tokyo University of Science Japan

Teleoperation of humanoid robots enables the integration of the cognitive skills and domain expertise of humans with the physical capabilities of humanoid robots. The operational versatility of humanoid robots makes them the ideal platform for a wide range of applications when teleoperating in a remote environment. However, the complexity of humanoid robots imposes challenges for teleoperation, particularly in unstructured dynamic environments with limited communication. Many advancements have been achieved in the last decades in this area, but a comprehensive overview is still missing. This survey paper gives an extensive overview of humanoid robot teleoperation, presenting the general architecture of a teleoperation system and analyzing the different components. We also discuss different aspects of the topic, including technological and methodological advances, as well as potential applications. A web-based version of the paper can be found at https://***/. © 2023, CC BY.

关键词： Remote control

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