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On Numerical Implementation of the Laplace Equation-Based Image Inpainting

IOP Conference Series: Materials Science and engineering 2021年第1期1022卷

作者： Le Thi Thanh Dang Ngoc Hoang Thanh Nguyen Minh Hue Ha Nguyen Thuy Linh V. B. Surya Prasath Department of Basic Science Ho Chi Minh City University of Transport Ho Chi Minh City 70000 Vietnam Department of Information Technology School of Business Information Technology University of Economics Ho Chi Minh City Ho Chi Minh City 70000 Vietnam Division of Biomedical Informatics Cincinnati Children's Hospital Medical Center Department of Pediatrics University of Cincinnati Department of Biomedical Informatics College of Medicine University of Cincinnati Department of Electrical Engineering and Computer Science University of Cincinnati OH USA

In the current study, we focus on the development of a numerical algorithm for the Laplace equation-based image inpainting problem. A software program to implement the proposed algorithm is also developed. In experiments, the proposed method recovered corrupted images effectively. It can also remove defects as well as unnecessary objects successfully. The program provides an effective, convenient, and easy solution to perform the image inpainting in practical tasks. It also provides a useful feature to assess image quality after processing with both full reference and blind image quality assessment.

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Corrigendum to "Bifunctional alginate/chitosan stabilized perfluorohexane nanodroplets as smart vehicles for ultrasound and pH responsive delivery of anticancer agents" [Int. J. Biol. Macromol. 191 (2021) 1068-1078]

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International journal of biological macromolecules 2022年 202卷 710页

作者： Yang Gao Qingming Ma Jie Cao Yingying Shi Jiashan Wang Haixia Ma Yong Sun Yang Song Department of Pharmaceutics School of Pharmacy Qingdao University 266071 Qingdao China. Department of Pharmaceutics School of Pharmacy Qingdao University 266071 Qingdao China. Electronic address: qma@***. Center for Prenatal Diagnosis Zibo Maternal and Child Health Care Hospital Zibo 255000 China. Wallace H Coulter Department of Biomedical Engineering Georgia Institute of Technology & Emory School of Medicine Atlanta GA 30332 USA.

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Evolution of placental invasion and cancer metastasis are causally linked (vol 3, pg 1743, 2019)

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NATURE ECOLOGY & EVOLUTION 2020年第2期4卷 280-280页

作者： Kshitiz Afzal, Junaid Maziarz, Jamie D. Hamidzadeh, Archer Liang, Cong Erkenbrack, Eric M. Kim, Hong Nam Haeger, Jan-Dirk Pfarrer, Christiane Hoang, Thomas Ott, Troy Spencer, Thomas Pavlicev, Mihaela Antczak, Douglas F. Levchenko, Andre Wagner, Gunter P. Yale Institute of Systems Biology Yale University West Haven USA Department of Biomedical Engineering Yale University New Haven USA Department of Biomedical Engineering University of Connecticut Health Center Farmington USA Department of Medicine University of California San Francisco San Francisco USA Department of Ecology and Evolutionary Biology Yale University New Haven USA Center for BioMicrosystems Korea Institute of Science and Technology Seoul South Korea Institute of Anatomy University of Veterinary Medicine Hannover Germany Department of Animal Science Center for Reproductive Biology and Health Penn State University University Park USA Division of Animal Sciences University of Missouri Columbia USA Cincinnati Children’s Hospital and Medical Center Cincinnati USA Baker Institute for Animal Health College of Veterinary Medicine Cornell University Ithaca USA Department of Obstetrics Gynecology and Reproductive Sciences Yale Medical School New Haven USA Department of Obstetrics and Gynecology Wayne State University Detroit USA

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Separation of cells and particles by the application of discrete dielectrophoretic 22

Separation of cells and particles by the application of disc...

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22nd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2018

作者： Panklang, Force Nitipong Techaumnat, Boonchai Wisitsoraat, Anurat Suzuki, Yuji Department of Electrical Engineering Faculty of Engineering Chulalongkorn University Thailand Biomedical Engineering Research Center Faculty of Engineering Chulalongkorn University Thailand Nanoelectronics and MEMS Laboratory National Electronics and Computer Technology Center Thailand Department of Mechanical Engineering University of Tokyo Japan

ISBN: (纸本)9781510897571

This paper presents the application of the discrete dielectrophoretic force to the separation of red blood cells and polystyrene particles. The discrete dielectrophoretic force is utilized to control deflection and dispersion of red blood cells by adjusting the applied voltage magnitude and duty cycle. The experiments verify that the cell accumulation can be prevented in a continuous separation process. We can obtain the enrichment of the particles greater than 150 times, depending on the original particle-to-cell number ratio. Copyright © (2018) by Chemical and Biological Microsystems Society. All rights reserved.

关键词： Separation

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Kininogen–Nitric Oxide Signaling at Nearby Nonexcited Acupoints after Long-Term Stimulation

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JID Innovations 2021年第3期1卷 100038-100038页

作者： Wang, Ting Zhu, Geng Qin, Liyue Wang, Qian She, Chen Xu, Dongsheng Hu, Weiwei Luo, Kenghuo Lei, Ying Gong, Yanling Ghosh, Arijit Ma, Dongni Ding, Chun-Lei Wang, Bu-Yi Guo, Yang Ma, Shou-Shan Hattori, Michihiro Takagi, Yutaka Ara, Katsutoshi Higuchi, Kazuhiko Li, Xingwang He, Lin Bai, Wanzhu Ishida, Koichi Li, Sheng-Tian Bio-X Institutes Key Laboratory for the Genetics of Development and Neuropsychiatric Disorders (Ministry of Education) Shanghai Jiao Tong University Shanghai China Brain Science and Technology Research Center Shanghai Jiao Tong University Shanghai China Kao China Research and Development Center Shanghai China Department of Biomedical Engineering School of Medical Instrument Shanghai University of Medicine & Health Sciences Shanghai China Institute of Acupuncture and Moxibustion China Academy of Chinese Medical Sciences Beijing China Shanghai Key Laboratory of Psychotic Disorders Shanghai Jiao Tong University Shanghai China

Acupuncture treatment is based on acupoint stimulation;however, the biological basis is not understood. We stimulated one acupoint with catgut embedding for 8 weeks and then used isobaric tags for relative and absolute quantitation to screen proteins with altered expression in adjacent acupoints of Sprague Dawley rats. We found that kininogen expression was significantly upregulated in the stimulated and the nonstimulated adjacent acupoints along the same meridian. The enhanced kininogen expression was meridian dependent and was most apparent among small vessels in the subcutaneous layer. Enhanced signals of nitric oxide synthases, cGMP-dependent protein kinase, and myosin light chain were also observed at the nonstimulated adjacent acupoints along the same meridian. These findings uncover biological changes at acupoints and suggest the critical role of the kininogen–nitric oxide signaling pathway in acupoint activation. © 2021 The Authors

关键词： CEP catgut embedding iTRAQ isobaric tags for relative and absolute quantitation KNG kininogen MLC myosin light chain NO nitric oxide NOS nitric oxide synthase PKG protein kinase G sCEP sham catgut embedding

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Front Cover: Emergence of Non-photoresponsive Catalytic Techniques for Environmental Remediation and Energy Generation (Chem. Asian J. 9/2023)

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Chemistry – An Asian Journal 2023年第9期18卷

作者： Manish Kumar Sharma Dr. Imran Khan Kuldeep Kaswan Dr. Snigdha Roy Barman Prof. Dr. Subhajit Saha Wu-Chiao Hsieh Prof. Dr. Yu-Lun Chueh Prof. Dr. Yu-Lin Wang Prof. Dr. Sangmin Lee Prof. Dr. Dukhyun Choi Prof. Dr. Zong-Hong Lin Department of Materials Science and Engineering National Tsing Hua University Hsinchu 30013 Taiwan Institute of NanoEngineering and Microsystems National Tsing Hua University Hsinchu 30013 Taiwan International Intercollegiate PhD Program National Tsing Hua University Hsinchu 30013 Taiwan Department of Renewable Energy Maulana Abul Kalam Azad University of Technology West Bengal 741249 India Department of Obstetrics and Gynecology Chang Gung Memorial Hospital and College of Medicine Chang Gung University Taoyuan 333 Taiwan Frontier Research Center on Fundamental and Applied Sciences of Matters National Tsing Hua University Hsinchu 30013 Taiwan School of Mechanical Engineering Chung-Ang University Seoul 06974 South Korea Department of Mechanical Engineering Sungkyunkwan University Suwon 16419 South Korea Department of Biomedical Engineering National Taiwan University Taipei 10617 Taiwan

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Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosis

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Kidney international 2025年

作者： Fan Fan Qian Liu Jarcy Zee Takaya Ozeki Dawit Demeke Yingbao Yang Markus Bitzer Christopher L O'Connor Alton B Farris Bangcheng Wang Manav Shah Jackson Jacobs Laura Mariani Kyle Lafata Jeremy Rubin Yijiang Chen Lawrence Holzman Jeffrey B Hodgin Anant Madabhushi Laura Barisoni Andrew Janowczyk Department of Biomedical Engineering Emory University and Georgia Institute of Technology Atlanta GA USA. Children's Hospital of Philadelphia Research Institute Philadelphia PA. Children's Hospital of Philadelphia Research Institute Philadelphia PA Department of Biostatistics Epidemiology and Informatics University of Pennsylvania Perelman School of Medicine Philadelphia PA. Department of Internal Medicine University of Michigan Ann Arbor MI United States. Department of Pathology University of Michigan Ann Arbor MI United States. Department of Pathology and Laboratory Medicine Emory University Atlanta GA USA. Department of Pathology Division of AI & Computational Pathology Duke University Durham NC United States. Department of Radiation Oncology Duke University Durham NC United States. Department of Radiation Oncology School of Medicine Stanford University Stanford CA USA. Department of Medicine Division of Nephrology and Hypertension University of Pennsylvania Philadelphia PA United States. Department of Biomedical Engineering Emory University and Georgia Institute of Technology Atlanta GA USA Atlanta Veterans Administration Medical Center Atlanta GA USA. Department of Pathology Division of AI & Computational Pathology Duke University Durham NC United States Department of Medicine Division of Nephrology Duke University Durham NC USA. Electronic address: laura.barisoni@duke.edu. Department of Oncology Division of Precision Oncology University Hospital of Geneva Geneva Switzerland Department of Diagnostics Division of Clinical Pathology University Hospital of Geneva Geneva Switzerland. Electronic address: andrew.r.janowczyk@emory.edu.

BACKGROUND:Visual scoring of tubular damage has limitations in capturing the full spectrum of structural changes and prognostic potential. Here, we investigated if computationally quantified tubular features can enhance prognostication and reveal spatial relationships with interstitial fibrosis. METHODS:Deep-learning and image-analysis approaches were employed on 254/266 Periodic acid Schiff-stained whole slide image (WSI) kidney biopsies from participants in the NEPTUNE/CureGN prospective observational cohort studies (135/153 with focal segmental glomerulosclerosis (FSGS) and 119/113 with minimal change disease (MCD)) to segment cortex, tubular lumen (TL), epithelium (TE), nuclei (TN), and basement membrane (TBM). One hundred four pathomic features were extracted from these segmented tubular substructures and aggregated at the patient level using summary statistics. In the NEPTUNE dataset, tubular features were quantified at the WSI level and in manually segmented regions of mature interstitial fibrosis and tubular atrophy (IFTA), pre-IFTA, and non-IFTA. Minimum Redundancy Maximum Relevance was then used to select features most associated with disease progression and proteinuria remission. Ridge-penalized Cox models evaluated their predictive discrimination compared to clinical/demographic data and visual-assessment. Models were evaluated in the CureGN dataset. RESULTS:Nine features were predictive of disease progression and/or proteinuria remission. Models with tubular features had high prognostic accuracy in both NEPTUNE and CureGN, and higher prognostic accuracy for both outcomes compared to conventional parameters alone in NEPTUNE. TBM thickness/area and TE flattening and/or reduced cell size progressively increased from non- to pre- and mature IFTA. CONCLUSIONS:Previously underrecognized computationally derived and quantifiable tubular characteristics may contribute to improving prognostic accuracy and risk stratification in patients with FSGS/MCD. Future stud

关键词： Focal segmental glomerulosclerosis artificial intelligence kidney biopsy

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Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound

arXiv

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arXiv 2019年

作者： Dou, Haoran Yang, Xin Qian, Jikuan Xue, Wufeng Qin, Hao Wang, Xu Yu, Lequan Wang, Shujun Xiong, Yi Heng, Pheng-Ann Ni, Dong National-Regional Key Technology Engineering Laboratory for Medical Ultrasound Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging School of Biomedical Engineering Health Science Center Shenzhen University Shenzhen China Lab China Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Department of Ultrasound Luohu People's Hospital Shenzhen China

Standard plane localization is crucial for ultrasound (US) diagnosis. In prenatal US, dozens of standard planes are manually acquired with a 2D probe. It is time-consuming and operator-dependent. In comparison, 3D US containing multiple standard planes in one shot has the inherent advantages of less user-dependency and more efficiency. However, manual plane localization in US volume is challenging due to the huge search space and large fetal posture variation. In this study, we propose a novel reinforcement learning (RL) framework to automatically localize fetal brain standard planes in 3D US. Our contribution is twofold. First, we equip the RL framework with a landmark-aware alignment module to provide warm start and strong spatial bounds for the agent actions, thus ensuring its effectiveness. Second, instead of passively and empirically terminating the agent inference, we propose a recurrent neural network based strategy for active termination of the agent's interaction procedure. This improves both the accuracy and efficiency of the localization system. Extensively validated on our in-house large dataset, our approach achieves the accuracy of 3.4mm/9.6◦ and 2.7mm/9.1◦ for the transcerebellar and transthalamic plane localization, respectively. Our proposed RL framework is general and has the potential to improve the efficiency and standardization of US scanning. © 2019, CC BY.

关键词： Reinforcement learning

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Correction: Optimization of the clinically approved Mg-Zn alloy system through the addition of Ca

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Biomaterials Research 2022年第1期26卷 1-1页

作者： Hyung-Jin Roh Do-Hyang Kim Jaeho Park Sun-Hee Lee Gwang-Chul Lee Hojeong Jeon Hyung-Seop Han Yu-Chan Kim Jeong-Yun Sun Minseong Chae Kang-Sik Lee Dong-Ho Lee Nanostructural Material Laboratory Department of Advanced Materials Yonsei University Seoul 03722 Republic of Korea Center for Biomaterials Korea Institute of Science and Technology Seoul 02792 Republic of Korea Research and Development Center U&I Corporation Uijongbu 480-050 Republic of Korea Department of Materials science and Engineering Seoul National University Seoul 08826 Republic of Korea KU-KIST Graduate School of Converging Science and Technology Korea University Seoul 02841 Republic of Korea Biomedical Engineering Research Center Asan Institute for Life Sciences Asan Medical Center College of Medicine University of Ulsan Seoul 05505 Republic of Korea Department of Orthopedic Surgery Asan Medical Center College of Medicine University of Ulsan Seoul 05505 Republic of Korea

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‘Corrigendum to “Biologically excretable AIE nanoparticles wear tumor cell-derived “exosome caps” for efficient NIR-II fluorescence imaging-guided photothermal therapy” [Nano Today 41 (2021) 101333]’

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Nano Today 2022年 44卷

作者： Yirun Li Xiaoxiao Fan Yuanyuan Li Liang Zhu Runze Chen Yiyin Zhang Huwei Ni Qiming Xia Zhe Feng Ben Zhong Tang Jun Qian Hui Lin Department of General Surgery Sir Run Run Shaw Hospital School of Medicine Zhejiang University Hangzhou 310020 China State Key Laboratory of Modern Optical Instrumentations Centre for Optical and Electromagnetic Research College of Optical Science and Engineering International Research Center for Advanced Photonics Zhejiang University Hangzhou 310058 China College of Veterinary Medicine Jilin University Changchun 130062 China Interdisciplinary Institute of Neuroscience and Technology (ZIINT) College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou 310020 China Shenzhen Institute of Aggregate Science and Technology School of Science and Engineering The Chinese University of Hong Kong Shenzhen Guangdong 518172 China College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou 310058 China Zhejiang Engineering Research Center of Cognitive Healthcare，Sir Run Run Shaw Hospital，School of Medicine Zhejiang University 310020 China

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