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A convolutional neural network-based diagnostic method using resting-state electroencephalograph signals for major depressive and bipolar disorders

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Biomedical Signal Processing and control 2022年第PartB期72卷 103370-103370页

作者： Lei, Yu Belkacem, Abdelkader Nasreddine Wang, Xiaotian Sha, Sha Wang, Changming Chen, Chao Beijing Institute of Basic Medical Sciences Beijing China Department of Computer and Network Engineering College of Information Technology United Arab Emirates University Al Ain United Arab Emirates School of Artificial Intelligence Xidian University Xian China National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital Capital Medical University Beijing China Brain-inspired Intelligence and Clinical Translational Research Center/Department of Neurosurgery Xuanwu Hospital Capitap Medical University Beijing China Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology China Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China

Background: Early and accurate diagnosis of bipolar and major depressive disorders is important in clinical practice. However, no diagnostic biomarkers can discriminate bipolar from major depressive disorder with high accuracy at present. Methods: We propose a novel convolutional neural network architecture using multichannel raw resting-state electroencephalograph signals to differentiate bipolar disorder from major depressive disorder. This method has great potential in diagnosing mental disorders. In total, 101 patients with major depressive disorder, 82 patients with bipolar disorder, and 81 healthy controls were assessed. Clinical diagnosis was performed by psychiatrists based on the Diagnostic and Statistical Manual of Mental Disorders, fifth edition. Participants were instructed to fix their eyes on a cross on the monitor during the collection of resting-state electroencephalograph signals. Results: A classification mean accuracy of 96.88% was achieved using the resting-state electroencephalograph signals with the 10-fold cross-validation method. The results indicate that deep neural networks could learn efficient feature patterns automatically without manual feature selections. Both statistical analysis and feature visualization on different brain regions showed that the classification performance and the learned features of the proposed model were consistent with that obtained in neurobiological studies on bipolar and major depressive disorders. Conclusions: The combined use of deep neural networks and electroencephalograph signals is an effective approach for the computer-aided diagnosis of bipolar and major depressive disorders. © 2021 Elsevier Ltd

关键词： Deep neural networks

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Energy-Efficient Cell-Free Massive MIMO Through Sparse Large-Scale Fading Processing

arXiv

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arXiv 2022年

作者： Chen, Shuaifei Zhang, Jiayi Björnson, Emil Demir, Özlem Tuğfe Ai, Bo The School of Electronic and Information Engineering The Frontiers Science Center for Smart Highspeed Railway System Beijing Jiaotong University Beijing100044 China Purple Mountain Laboratories Nanjing211111 China The Department of Computer Science KTH Royal Institute of Technology Kista164 40 Sweden The Department of Electrical and Electronics Engineering TOBB University of Economics and Technology Ankara Turkey The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China

Cell-free massive multiple-input multiple-output (CF mMIMO) systems serve the user equipments (UEs) by geographically distributed access points (APs) by means of joint transmission and reception. To limit the power consumption due to fronthaul signaling and processing, each UE should only be served by a subset of the APs, but it is hard to identify that subset. Previous works have tackled this combinatorial problem heuristically. In this paper, we propose a sparse distributed processing design for CF mMIMO, where the AP-UE association and long-term signal processing coefficients are jointly optimized. We formulate two sparsity-inducing mean-squared error (MSE) minimization problems and solve them by using efficient proximal approaches with block-coordinate descent. For the downlink, more specifically, we develop a virtually optimized large-scale fading precoding (V-LSFP) scheme using uplink-downlink duality. The numerical results show that the proposed sparse processing schemes work well in both uplink and downlink. In particular, they achieve almost the same spectral efficiency as if all APs would serve all UEs, while the energy efficiency is 2-4 times higher thanks to the reduced processing and signaling. Copyright © 2022, The Authors. All rights reserved.

关键词： Energy efficiency

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Development of power drive technology for high lift system of commercial aircraft

Development of power drive technology for high lift system o...

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CSAA/IET International Conference on Aircraft Utility systems 2020, AUS 2020

作者： Liu, Tong Zhang, Yue Wang, Weida Ju, Jiachen Yu, Wenbin Department of Flight Control System Shanghai Aircraft Design and Research Institute 5188 Jinke Rd. Shanghai201210 China Department of Science and Technology Management Commercial Aircraft Corporation of China Ltd. 1919 Shibo Ave. Shanghai200126 China Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiaotong University 800 Dongchuan Rd. Shanghai200240 China

ISBN: (纸本)9781839535635

In this paper, the development of power driving technology for high lift system of modern commercial aircraft is presented. Three kinds of power driving technical schemes of high lift system are demonstrated together with their characteristics. Various applications of power drive technology on present mainstream aircrafts have been addressed and analyzed respectively. In addition to the analysis of existing power drive technology, this work presented that distributed electric power drive technology could be a potential future development trend. The paper can be read as a reference for selecting power driving technical scheme of high lift systems at conceptual design phase of a commercial aircraft. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Conceptual design

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Phase-based testability analysis of multi-function integrated RF system using generalized stochastic Petri net

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Expert systems with Applications 2025年 284卷

作者： Zhang, Chao Cui, Changkai Zhou, Dingyu Dong, Zhijie He, Shilie Zhou, Zhenwei Department of Integrated Technology and Control Engineering School of Aeronautics Northwestern Polytechnical University Xi'an710072 China National Key Laboratory of Aircraft Design Xi'an710072 China School of Civil Aeronautics Northwestern Polytechnical University Xi'an710072 China Shanghai Civil Aviation Control and Navigation System Co. Ltd Shanghai201100 China The 6th Research Institute of China Electronics Corporation Beijing102209 China China Electronic Product Reliability and Environmental Testing Institute Guangzhou510610 China

Multi-Function Integrated RF system (MIRFS) is a crucial part of an aircraft's airborne systems. Unlike disposable equipment such as missiles and torpedoes, MIRFS has to face two different operating environments, ground and air, during a mission cycle. In these two operating environments, the test equipment and data processing methods are different. These differences bring problems with test information not being fully utilized and testability indexes not being accurately calculated. Traditional testability modelling and analysis method cannot deal with the above problems. In this paper, a phase-based testability modelling and analysis method using generalized stochastic Petri net (GSPN) is proposed to fully use test information and determinate accurate testability indexes. Firstly, depending on the operating environment, two phases which are readiness phase and flight combat phase are designed to build separate testability models. Secondly, since static modelling techniques like UML and SysML lack the ability to dynamically evaluate and analyse system, GSPN is used to model the testability of each phase to better describe the MIRFS state and behavior. Then the testability models for each phase are integrated and optimised into the mission cycle GSPN testability model, which contains fully test information. The integration principle involves linking testability models according to the mission cycle sequence, including time synchronization, fault detection synchronization, and maintenance synchronization. Finally, Markov chain is used to solve the mission cycle GSPN model and obtain the precise testability indexes. The testability indexes obtained effectively enhances the testability of the MIRFS. This method can also be used when there are more phases of the mission. © 2025 Elsevier Ltd

关键词： Data integration

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Modulating motor cortical oscillation with coordinated reset multifocal transcranial magnetic stimulation

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Journal of neurophysiology 2023年第5期129卷 1061-1071页

作者： Kai-Hsiang Stanley Chen Tzu-Kang Hung Rupesh Kumar Chikara Yu-Ting Kuo Yi-Ping Liu Yan-Siou Dong Yih-Ru Wu Li-Wei Ko Ying-Zu Huang Robert Chen Department of Neurology National Taiwan University Hospital Hsinchu Branch Hsinchu Taiwan. Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu Taiwan. Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu Taiwan. Jane and John Justin Neurosciences Center Cook Children's Health Care System Fort Worth Texas United States. Department of Bioengineering University of Texas at Arlington Arlington Texas United States. Department of Neurology Chang Gung Memorial Hospital and Chang Gung University College of Medicine Taoyuan Taiwan. Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan. Neuroscience Research Center and Department of Neurology Chang Gung Memorial Hospital and Chang Gung University College of Medicine Taoyuan Taiwan. Institute of Cognitive Neuroscience College of Health Science and Technology Taoyuan Taiwan. Krembil Research Institute University Health Network Toronto Ontario Canada. Division of Neurology Department of Medicine University of Toronto Toronto Ontario Canada. Edmond J. Safra Program in Parkinson's Disease University Health Network Toronto Ontario Canada.

According to the theory of coordinated reset (CR) stimulation, multifocal bursts of stimuli delivered in a random order with a specific interval may reduce the resonance power of the oscillatory generator in the epicenter. We develop a noninvasive coordinated multifocal burst stimulation (COMBS) with three repetitive transcranial stimulation machines based on CR theory to modulate the target frequency in the primary motor cortex and to assess its effect on motor cortical excitability in separate experiments. Electroencephalography and electromyography were recorded in 16 healthy participants during a finger-tapping task, both before and after the intervention. The resting oscillatory power at the targeted frequency was not changed by COMBS. α-Band power was increased in both preparation and movement stages and the low β-band power was increased in the movement stage of the finger tapping task. The extent of low β-band event-related desynchronization was reduced by COMBS. There were no changes in reaction time, but there was a trend for a reduced error rate after COMBS. In another 14 healthy participants, there were no significant changes in cortical excitability before and after COMBS measured by rest motor threshold, short interval intracortical inhibition, short interval intracortical facilitation, and cortical silent period. The result indicates that COMBS may modify the cortical oscillatory power and its perturbation within specific movement stage. This is the first study, to our knowledge, to apply coordinated reset (CR) neuromodulation to the motor cortex with three repetitive transcranial magnetic stimulation (rTMS) stimulators to assess its effect on cortical oscillation. The results revealed enhancement of α-band power specifically in preparation and movement stages and low β-band power in the movement stage of a motor task. It postulated that CR stimulation may modify the motor cortical oscillation in the specific movement stages.

关键词： coordinated reset event-related desynchronization low beta oscillation motor cortical excitability repetitive transcranial magnetic stimulation (rTMS)

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Biochar addition affects soil carbon stock by altering keystone fungal species and necromass abundance and oxidase activities in forest and paddy soils

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Pedosphere 2024年

作者： Leiyi ZHANG Yingxin WU Jie ZHANG Kumuduni Niroshika PALANSOORIYA Chao LIU Rahat SHABIR Yao HUANG Qianying SUN Wencheng WU Scott X. CHANG Guangdong Engineering &Technology Research Center for System Control of Livestock and Poultry Breeding Pollution South China Institute of Environmental Sciences MEE Guangzhou 510535 (China) State Key Laboratory of Subtropical Silviculture Zhejiang A&F University Hangzhou 311300 (China) School of Environmental Science and Engineering Hainan University Haikou 570228 (China) Australian Rivers Institute and School of Environment and Science Griffith University Brisbane 4111 (Australia) National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management Institute of Eco-environmental and Soil Sciences Guangdong Academy of Sciences Guangzhou 510650 (China) Department of Renewable Resources University of Alberta Edmonton AB T6G 2E3 (Canada)

Fungi play a crucial role in the utilization and storage of soil organic carbon (SOC). Biochar can potentially influence soil carbon (C) turnover by mediating extracellular electron transfer, which can be facilitated by fungi. However, the effects of biochar and soil types on the community, abundance, enzyme secretion, and necromass of fungi mediating SOC storage remain unclear. Using a mesocosm experiment, we studied the impact of biochars pyrolyzed at low (300 °C, BL) and high (700 °C, BH) temperature on fungal abundance, community composition, necromass size, and C-degrading enzyme activities in forest and paddy soils from southern China. The SOC retention ratio was higher under BL (84.0%) than under BH (76.3%). The BL (an electron shuttle) application increased fungal abundance in the forest soil by 230%. In contrast, BH (a geological capacitor) decreased fungal abundance in the paddy soil by 20.8%. Biochar addition affected fungal necromass accumulation and oxidase activity and regulated SOC turnover. The BL’s high available C and moderate liming effects significantly increased fungal abundance and its necromass in the forest soil compared to the paddy soil. Moreover, after 16 weeks of incubation, BL addition decreased peroxidase activity by 32.1% in the forest soil due to the higher C use efficiency of fungi ( i.e. , the enrichment of Talaromyces, Umbelopsis , and Trichoderma ), decreasing C-degrading enzyme secretion and reducing SOC degradation compared to the paddy soil. However, BH addition increased the Fusarium abundance, which regulated the polyphenol oxidase activity and promoted SOC degradation in the paddy soil. We conclude that biochars alter the soil environment and extracellular electron transfer to mediate fungal-driven necromass content and C-degrading enzyme activities, thus affecting SOC storage in forest and paddy soils.

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Mechanism of electron power absorption in radio frequency plasmas with inverse sheaths

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Plasma Sources Science and Technology 2025年第6期34卷 065005-065005页

作者： Zhenhua Zhou Dong Yang Bocong Zheng Yangyang Fu Department of Engineering Physics Tsinghua University Beijing 100084 People’s Republic of China Department of Electrical Engineering Tsinghua University Beijing 100084 People’s Republic of China School of Physics Beijing Institute of Technology Beijing 100081 People’s Republic of China State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing 100084 People’s Republic of China Sichuan Energy Internet Research Institute Tsinghua University Sichuan 610213 People’s Republic of China

This study reports mechanisms of electron power absorption in radio frequency (RF) plasmas with inverse (negatively charged) sheaths, which are caused by strong thermionic electron emission from the electrode surface. Based on particle-in-cell/Monte-Carlo collision simulations and the moment analysis of the Boltzmann equation, we confirm that this thermionic-emission-driven RF plasma features more intense electron heating in the bulk plasma, which differs from capacitive RF discharges. We reveal that non-local collisional heating can still be the dominant electron power absorption mechanism even when the strong electric field penetrates across the gap in an RF discharge. Furthermore, a transition of the dominant heating mode from non-local collisional to Ohmic is demonstrated as the gas pressure increases in RF plasmas with inverse sheaths.

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Toward a sustainable grassland ecosystem worldwide

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The Innovation 2022年第4期3卷 15-16页

作者： Jian Sun Yi Wang Shilong Piao Miao Liu Guodong Han Junran Li Eryuan Liang Tien Ming Lee Guohua Liu Andreas Wilkes Shiliang Liu Wenwu Zhao Huakun Zhou Mesenbet Yibeltal Mulatu Liyew Berihun Dawn Browning Ayele Almaw Fenta Atsushi Tsunekawa Joel Brown Walter Willms Mitsuru Tsubo State Key Laboratory of Earth System Resources and Environment of Tibetan Plateau Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China School of Life Sciences and School of Ecology State Key Lab of Biological ControlSun Yat-sen UniversityGuangzhou 510275China Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100871China College of Grassland Science and Technology China Agricultural UniversityBeijing 100193China Key Laboratory of Grassland Resources of the Ministry of Education College of GrasslandResources and EnvironmentInner Mongolia Agricultural UniversityHohhot 010011China Department of Geosciences The University of TulsaTulsaOK 74137USA State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Values for Development Ltd Bury St.Edmunds IP333EQUK School of Environment Beijing Normal UniversityBeijing 100875China Faculty of Geographical Science Beijing Normal UniversityBeijing 100875China Key Laboratory of Restoration Ecology for Cold Regions in Qinghai Northwest Institute of Plateau BiologyChinese Academy of SciencesXining 810008China Faculty of Civil and Water Resource Engineering Bahir Dar Institute of TechnologyBahir Dar UniversityBahir DarEthiopia Arid Land Research Center Tottori UniversityTottori 6800001Japan USDA–ARS Jornada Experimental Range Las CrucesNM 88003USA USDA NRCS Jornada Experimental RangeNew Mexico State UniversityMSC 3JERPO Box 30003Las CrucesNMUSA Agriculture and Agri-Food Canada Lethbridge Research Centre54031st Avenue SouthLethbridgeABCanada

Globally,grasslands,covering about 40%of the Earth’s land area,are vital for supporting important ecosystem functions,services,and livelihoods of millions of ***,grassland degradation is a major threat to the maintenance of ecological services,1 food security,and sustainable development,and directly hinders the global efforts with meeting goals and targets such as the The UN Decade on Ecosystem Restoration and Sustainable Development Goals(SDGs).Remote sensing approaches have the advantages of spanning large geographical areas withmultiple spatial,spectral,and temporal *** global scale,remote sensing methods used normalized difference vegetation index to determine net primary productivity(NPP),which still is the effectivemethod to indicate grassland *** master the general situation of grassland,we analyzed the global spatial-temporal variation of NPP from 2001 to 2019 at the pixel level across the *** presented in Figure 1A,the NPP values of global grasslands showed an obvious variation trend,which indicated a considerable distribution pattern of spatial *** decreasing and increasing trend in grassland NPP covered approximately 25.3%and 74.5%of the total grassland area,respectively.

关键词： grassland Figure hinder

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Polygenic risk score and lung adenocarcinoma risk among never-smokers by EGFR mutation status-a brief report

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Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 2024年第4期20卷 521-530页

作者： Batel Blechter Chao Agnes Hsiung Xiaoyu Wang Haoyu Zhang Wei Jie Seow Jianxin Shi Nilanjan Chatterjee Hee Nam Kim Maria Pik Wong Yun-Chul Hong Jason Yy Wong Juncheng Dai H Dean Hosgood Zhaoming Wang I-Shou Chang Jiyeon Choi Jiucun Wang Minsun Song Wei Hu Wei Zheng Jin Hee Kim Baosen Zhou Demetrius Albanes Min-Ho Shin Lap Ping Chung She-Juan An Hong Zheng Yasushi Yatabe Xu-Chao Zhang Young Tae Kim Xiao-Ou Shu Young-Chul Kim Roel C H Vermeulen Bryan A Bassig Jiang Chang James Chung Man Ho Bu-Tian Ji Michiaki Kubo Yataro Daigo Yukihide Momozawa Yoichiro Kamatani Takayuki Honda Hideo Kunitoh Shun-Ichi Watanabe Yohei Miyagi Haruhiko Nakayama Shingo Matsumoto Masahiro Tsuboi Koichi Goto Zhihua Yin Atsushi Takahashi Akiteru Goto Yoshihiro Minamiya Kimihiro Shimizu Kazumi Tanaka Tangchun Wu Fusheng Wei Jian Su Yeul Hong Kim In-Jae Oh Victor Ho Fun Lee Wu-Chou Su Yuh-Min Chen Gee-Chen Chang Kuan-Yu Chen Ming-Shyan Huang Hsien-Chih Lin Adeline Seow Jae Yong Park Sun-Seog Kweon Chien-Jen Chen Yu-Tang Gao Chen Wu Biyun Qian Daru Lu Jianjun Liu Hyo-Sung Jeon Chin-Fu Hsiao Jae Sook Sung Ying-Huang Tsai Yoo Jin Jung Huan Guo Zhibin Hu Tzu-Yu Chen Laurie Burdett Meredith Yeager Amy Hutchinson Sonja I Berndt Wei Wu Junwen Wang Jin Eun Choi Kyong Hwa Park Sook Whan Sung Li Liu Chang Hyun Kang Chung-Hsing Chen Jun Xu Peng Guan Wen Tan Chih-Liang Wang Alan Dart Loon Sihoe Ying Chen Yi Young Choi Jun Suk Kim Ho-Il Yoon Qiuyin Cai In Kyu Park Ping Xu Qincheng He Chih-Yi Chen Junjie Wu Wei-Yen Lim Kun-Chieh Chen John K C Chan Jihua Li Hongyan Chen Chong-Jen Yu Li Jin Joseph F Fraumeni Jie Liu Maria Teresa Landi Taiki Yamaji Yang Yang Belynda Hicks Kathleen Wyatt Shengchao A Li Hongxia Ma Bao Song Zhehai Wang Sensen Cheng Xuelian Li Yangwu Ren Motoki Iwasaki Junjie Zhu Gening Jiang Ke Fei Guoping Wu Li-Hsin Chien Fang-Yu Tsai Jinming Yu Victoria L Stevens Pan-Chyr Yang Dongxin Lin Kexin Chen Yi-Long Wu Keitaro Matsuo Nathaniel Rothman Kouya Shiraishi Hongbing Shen Stephen J Chanock Takashi Kohno Qing Lan Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville MD USA. Institute of Population Health Sciences National Health Research Institutes Zhunan Taiwan. Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville MD USA Saw Swee Hock School of Public Health National University of Singapore and National University Health System Singapore Singapore Department of Medicine Yong Loo Lin School of Medicine National University of Singapore and National University Health System Singapore Singapore. Department of Oncology School of Medicine Johns Hopkins University Baltimore MD USA Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore MD USA. Department of Preventive Medicine Chonnam National University Medical School Gwangju Republic of Korea. Department of Pathology Queen Mary Hospital Hong Kong Hong Kong. Department of Preventive Medicine Seoul National University College of Medicine Seoul Republic of Korea. Epidemiology and Community Health Branch National Heart Lung and Blood Institute Bethesda MD USA. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Department of Epidemiology and Population Health Albert Einstein College of Medicine New York USA. Department of Computational Biology St. Jude Children's Research Hospital Memphis TN USA. National Institute of Cancer Research National Health Research Institutes Zhunan Taiwan. Ministry of Education Key Laboratory of Contemporary Anthropology School of Life Sciences Fudan University Shanghai China State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai China. Department of Statistics & Research Institute of Natural Sciences Sookmyung Women's University Seoul 04310 Korea. Division of Epidemiology Department of Medicine Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center Nashville TN USA. Department of Environmental Health

We assessed the association between a genome-wide polygenic risk score (PRS) developed for lung adenocarcinoma (LUAD) risk and mutation on the epidermal growth factor receptor (EGFR) gene in 998 East Asian never-smoking female LUAD cases (518 EGFR-positive; 480 EGFR-negative) and 4,544 never-smoking controls using case-case and multinomial regression analyses. We found that the PRS was more strongly associated with EGFR-positive LUAD compared to EGFR-negative LUAD, where the association between the fourth quartile of the PRS and EGFR-positive LUAD (OR=8.63, 95% CI:5.67, 13.14) was significantly higher than the association between the fourth quartile of the PRS with EGFR-negative LUAD (OR=3.50, 95% CI: 2.44, 5.00) (p-heterogeneity=3.66x10). Our findings suggest that germline genetic susceptibility may be differentially associated with LUAD in never-smoking female East Asian patients depending on the cancer's mutation status, which may have important public health and clinical implications.

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Study on the Band Gap and Directional Wave Propagation Mechanism of Novel Single-Phase Metamaterials

SSRN

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SSRN 2022年

作者： Cheng, Shu-Liang Yang, Hong-Yun Yan, Qun Wang, Bin Sun, Yong-Tao Xin, Ya-Jun Ding, Qian Yan, Hao Wang, Liang Key Laboratory of Mechanical Reliability for Heavy Equipment and Large Structure of Hebei Province Yanshan University Qinhuangdao China Tianjin Key Laboratory of Soft Soils and Engineering Environment Tianjin Chengjian University Tianjin China Department of Mechanics Tianjin Key Laboratory of Nonlinear Dynamics and Control Tianjin University Tianjin China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang China Key Laboratory of Aeroacoustics and Dynamics Aircraft Strength Research Institute Xi’an China Key Laboratory of Green Construction and Intelligent Maintenance for Civil Engineering of Hebei Province Yanshan University Qinhuangdao China

In this paper, a new type of single-phase metamaterial is proposed. Based on the finite element method, the band gap characteristics of the structures with different branches are comprehensively analyzed, and the existence of the band gap is further verified by the frequency response transmission spectrum. Then, the propagation characteristics of elastic waves of different frequencies in different combinations of structures are investigated respectively. The results show that the proposed single-phase metamaterial structure has an excellent band gap range, and under the action of relatively low-frequency elastic waves, the wave propagation in the structure has a certain direction and regionality, while the elastic waves at higher frequencies are applied, the propagation direction of the wave tends to propagate in all directions. This paper provides a new idea for studying the structural design of metamaterials with specific wave propagation directions. © 2022, The Authors. All rights reserved.

关键词： Energy gap

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