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Silicone breast implant modification review: Overcoming capsular contracture

Biomaterials Research 2018年第1期22卷 319-327页

作者： Shin, Byung Ho Kim, Byung Hwi Kim, Sujin Lee, Kangwon Choy, Young Bin Heo, Chan Yeong Seoul National University College of Medicine Department of Biomedical Engineering Seoul 03080 South Korea Seoul National University Department of Transdisciplinary Studies Graduate School of Convergence Science and Technology Seoul 08826 South Korea Seoul National University Interdisciplinary Program for Bioengineering College of Engineering Seoul 08826 South Korea Seoul National University Department of Plastic and Reconstructive Surgery College of Medicine Seoul 03080 South Korea Seoul National University Bundang Hospital Department of Plastic and Reconstructive Surgery Seongnam 13620 South Korea Seoul National University Institute of Medical and Biological Engineering Medical Research Center Seoul 03080 South Korea Advanced Institutes of Convergence Technology Suwon Gyeonggi-do 16229 South Korea

Background: Silicone implants are biomaterials that are frequently used in the medical industry due to their physiological inertness and low toxicity. However, capsular contracture remains a concern in long-term transplantation. To date, several studies have been conducted to overcome this problem. This review summarizes and explores these trends. Main body: First, we examined the overall foreign body response from initial inflammation to fibrosis capsule formation in detail and introduced various studies to overcome capsular contracture. Secondly, we introduced that the main research approaches are to inhibit fibrosis with anti-inflammatory drugs or antibiotics, to control the topography of the surface of silicone implants, and to administer plasma treatment. Each study examined aspects of the various mechanisms by which capsular contracture could occur, and addressed the effects of inhibiting fibrosis. Conclusion: This review introduces various silicone surface modification methods to date and examines their limitations. This review will help identify new directions in inhibiting the fibrosis of silicone implants. © 2018 The Author(s).

关键词： Capsular contracture Fibrosis Foreign body reaction Inflammation Modification Silicone implant

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Using a Recurrent Neural Network Model for Classification of Tweets Conveyed Influenza-related Information 1

Using a Recurrent Neural Network Model for Classification of...

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1st International Workshop on Digital Disease Detection using Social Media, DDDSM 2017, co-located with the 8th International Joint Conference on Natural Language Processing, IJCNLP 2017

作者： Wang, Chen-Kai Singh, Onkar Tang, Zhao-Li Dai, Hong-Jie Graduate Institute of Biomedical Informatics Taipei Medical University Taipei Taiwan Bioinformatics Program Taiwan International Graduate Program Institute of Information Science Academia Sinica Taipei Taiwan Institute of Biomedical Informatics National Yang-Ming University Taipei Taiwan Department of Computer Science and Information Engineering National Taitung University Taitung Taiwan Interdisciplinary Program of Green and Information Technology National Taitung University Taitung Taiwan

ISBN: (纸本)9781948087070

Traditional disease surveillance systems depend on outpatient reporting and virological test results released by hospitals. These data have valid and accurate information about emerging outbreaks but it's often not timely. In recent years the exponential growth of users getting connected to social media provides immense knowledge about epidemics by sharing related information. Social media can now flag more immediate concerns related to outbreaks in real time. In this paper we apply the long short-term memory recurrent neural network (RNN) architecture to classify tweets conveyed influenza-related information and compare its performance with baseline algorithms including support vector machine (SVM), decision tree, naive Bayes, simple logistics, and naive Bayes multinomial. The developed RNN model achieved an F-score of 0.845 on the MedWeb task test set, which outperforms the F-score of SVM without applying the synthetic minority oversampling technique by 0.08. The F-score of the RNN model is within 1% of the highest score achieved by SVM with oversampling technique. © 2017 AFNLP

关键词： Support vector machines

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Molecular identification and phylogenetic reconstruction of two fiddler crabs (Uca forcipata and Uca triangularis)

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IOP Conference Series. Earth and Environmental Science 2019年第1期236卷 012036-012036页

作者： Andriyono, S Pramono, H Kim, H W Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan 48513 Republic of Korea Department of Marine Fisheries and Marine Faculty C Campus Jl. Mulyorejo Surabaya 60115. Universitas Airlangga Surabaya East Java Indonesia Department of Marine Fisheries and Marine Faculty C Campus Jl. Mulyorejo Surabaya 60115. Universitas Airlangga Surabaya East Java Indonesia Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan 48513 Republic of Korea Department of Marine Biology Pukyong National University Busan 48513 Republic of Korea

Fiddler crabs are one of the types of fauna that inhabit the mangrove ecosystem. They have an essential role in nutrient improvements in the mangrove substrate, besides increasing oxygenation, decomposition and percolation rate, and decreasing salinity and the sulfide substrate condition. This study performed the identification of two species based on their molecular qualities through COI gene markers. The samples were collected from Surabaya, Indonesia and their genomic DNA was extracted through DNA kit extraction at the Molecular Physiology Laboratory PKNU, Busan Korea. Based on the molecular identification in BLASTN, the two species confirmed were Uca forcipata and Uca triangularis with 99% certainty. The species were classified as an Asian fiddler crab species based on the phylogenetic tree featuring 59 species of fiddler crab from around the world.

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Appropriate feeding for early juvenile stages of eunicid polychaete Marphysa sanguinea

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Fisheries and Aquatic Sciences 2017年第1期20卷 1-9页

作者： Kim, Kyeong Hun Kim, Byoung Kwon Kim, Sung Kyun Phoo, War War Venmathi Maran, B.A. Kim, Chang-Hoon Pukyong National University Interdisciplinary Program of Biomedical Engineering Busan 48513 South Korea Pukyong National University Department of Marine Bio-materials and Aquaculture Busan 48513 South Korea Pukyong National University Fisheries Science and Technology Centre Goseong-gun Gyeongsangnam-do 52957 South Korea

Survival rate (SR) and growth rate (GR) were tested with various feed sources to identify an appropriate feed to improve the productivity in the early life stage of the rock worm Marphysa sanguinea (Montagu, 1813) (Eunicidae: Polychaeta). In addition, feed supply rates were also examined. Three experiments were performed to identify the appropriate feed for the juvenile stages of M. sanguinea. Experiment 1 was done using seven different feed sources and without feed as well for the first 20days of M. sanguinea culture. Decapsulated Artemia and extruded pellet for shrimp were showed with high SR and GR in the experiment 1. Experiment 2 was performed with five different feed sources. Two feeds were selected from experiment 1 in addition to eel feed, mixed micro-algae, and benthic diatom. Four different quantities of each feed were supplied to 3000 individuals of early juvenile stage of M. sanguinea. High quantity of decapsulated Artemia and shrimp feed resulted with a relatively good SR and GR. In experiment 3, we provided 20, 50, and 75mg of decapsulated Artemia and shrimp feed to 3000 individuals of M. sanguinea. Our results demonstrated that after 3months, decapsulated Artemia showed high survival rate and 75mg/3000 inds provided the best quantity of feed in the earlier life stage culture of M. sanguinea. © 2017 The Author(s).

关键词： Decapsulated Artemia Feed Feeding rate Marphysa sanguinea Polychaete

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Residue detection in the large intestine from colonoscopy video using the support vector machine method

Residue detection in the large intestine from colonoscopy vi...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： M. Cho H. J. Kong J. H. Kim B. Jeon K. S. Hong S. Kim Interdisciplinary Program in Bioengineering Graduate School Seoul National University Seoul Republic of Korea Department of Biomedical Engineering Chungnam National University College of Medicine Daejeon Korea Department of Gastroenterology Seoul National University Boramae Medical Center Seoul Korea Department of Gastroenterology Mediplex Sejong Hospital Incheon Korea Institute of Medical and Biological Engineering Medical Research Center Seoul National University Seoul Republic of Korea

ISBN: (纸本)9781538670804;9788993215168

As colonoscopy is the gold standard screening test for colorectal cancer, studies of applying image processing to colonoscopy video are increasing. When performing colonoscopy or applying image processing to colonoscopy video, the presence of a residue in the large intestine is a negative affecting factor. In this reason, the colonoscopist evaluates and records the colon cleanliness after performing colonoscopy. However, these assessments can be influenced by the subjectivity of the colonoscopist. In order to quantify the frequency of residues in the large intestine, we applied image processing and machine learning techniques to the digital images obtained from colonoscopy. Support vector machine technique was applied to distinguish informative frames from colonoscopy videos, and to classify residue frames and the others. The sensitivity, specificity, and accuracy were evaluated for five patients.

关键词： Colonoscopy Support vector machines Intestines Image processing Endoscopes Cancer Colon

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Extraciliary roles of the ciliopathy protein JBTS17 in mitosis and neurogenesis

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IBRO Reports 2019年 6卷 S342-S343页

作者： Hyowon Hong Kwangsic Joo Sang Min Park Jimyung Seo Min Hwan Kim Eunbie Shin Hae Il Cheong Jeong Ho Lee Joon Kim Biomedical Science and Engineering Interdisciplinary Program KAIST Daejeon Republic of Korea Department of Opthalmology Seoul National University College of Medicine Seoul National University Bundang Hospital Seongnam Republic of Korea Graduate School of Medical Science and Engineering KAIST Daejeon Republic of Korea Research Coordination Center for Rare Disease Seoul National University Hospital Seoul Republic of Korea

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Corrigendum to "Metal-organic frameworks, NH2-MIL-88(Fe), as carriers for ophthalmic delivery of brimonidine" [Acta Biomater. 79 (2018) 344-353]

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Acta biomaterialia 2019年 85卷 321页

作者： Se-Na Kim Chun Gwon Park Beom Kang Huh Seung Ho Lee Chang Hee Min Yun Young Lee Young Kook Kim Ki Ho Park Young Bin Choy Interdisciplinary Program in Bioengineering College of Engineering Seoul National University Seoul 08826 Republic of Korea. Department of Biomedical Engineering SKKU Institute for Convergence Sungkyunkwan University (SKKU) Suwon 16419 Republic of Korea. Institute of Medical & Biological Engineering Medical Research Center Seoul National University Seoul 03080 Republic of Korea. Department of Biomedical Engineering Seoul National University College of Medicine Seoul 03080 Republic of Korea. Department of Ophthalmology Seoul National University Hospital Seoul 03080 Republic of Korea Department of Ophthalmology Seoul National University College of Medicine Seoul 03080 Republic of Korea. Interdisciplinary Program in Bioengineering College of Engineering Seoul National University Seoul 08826 Republic of Korea Institute of Medical & Biological Engineering Medical Research Center Seoul National University Seoul 03080 Republic of Korea Department of Biomedical Engineering Seoul National University College of Medicine Seoul 03080 Republic of Korea. Electronic address: ybchoy@snu.ac.kr.

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Author Correction: Battery-free, wireless soft sensors for continuous multi-site measurements of pressure and temperature from patients at risk for pressure injuries

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Nature communications 2021年第1期12卷 6827页

作者： Yong Suk Oh Jae-Hwan Kim Zhaoqian Xie Seokjoo Cho Hyeonseok Han Sung Woo Jeon Minsu Park Myeong Namkoong Raudel Avila Zhen Song Sung-Uk Lee Kabseok Ko Jungyup Lee Je-Sang Lee Weon Gi Min Byeong-Ju Lee Myungwoo Choi Ha Uk Chung Jongwon Kim Mengdi Han Jahyun Koo Yeon Sik Choi Sung Soo Kwak Sung Bong Kim Jeonghyun Kim Jungil Choi Chang-Mo Kang Jong Uk Kim Kyeongha Kwon Sang Min Won Janice Mihyun Baek Yujin Lee So Young Kim Wei Lu Abraham Vazquez-Guardado Hyoyoung Jeong Hanjun Ryu Geumbee Lee Kyuyoung Kim Seunghwan Kim Min Seong Kim Jungrak Choi Dong Yun Choi Quansan Yang Hangbo Zhao Wubin Bai Hokyung Jang Yongjoon Yu Jaeman Lim Xu Guo Bong Hoon Kim Seokwoo Jeon Charles Davies Anthony Banks Hyung Jin Sung Yonggang Huang Inkyu Park John A Rogers Center for Bio-Integrated Electronics Northwestern University Evanston IL USA. Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea. Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL USA. Department of Materials Science and Engineering University of Illinois at Urbana Champaign Urbana IL USA. Querrey Simpson Institute for Bioelectronics Northwestern University Evanston IL USA. State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering Mechanics Dalian University of Technology Dalian People's Republic of China. Ningbo Institute of Dalian University of Technology Ningbo People's Republic of China. Department of Biomedical Engineering Texas A&M University College Station TX USA. Department of Mechanical Engineering Northwestern University Evanston IL USA. Advanced 3D Printing Technology Development Division Korea Atomic Energy Research Institute Daejeon Republic of Korea. Qualcomm Institute La Jolla CA USA. Sibel Health Inc Niles IL USA. Department of Rehabilitation Medicine Gimhae Hansol Rehabilitation & Convalescent Hospital Gimhae Republic of Korea. Department of Planning and Development Gimhae Hansol Rehabilitation & Convalescent Hospital Gimhae Republic of Korea. Department of Rehabilitation Medicine Pusan national university hospital Busan Republic of Korea. Department of Materials Science and Engineering KAIST Institute for The Nanocentury (KINC) Korea Advanced Institute of Science and Technology Daejeon Republic of Korea. Department of Materials Science and Engineering Northwestern University Evanston IL USA. Department of Mechanical Engineering Kyung Hee University Yongin Republic of Korea. Department of Biomedical Engineering College of Future Technology Peking University Beijing People's Republic of China. School of Biomedical Engineering Korea University Seoul Republic of Korea. Interdisci

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Abstracts

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JOURNAL OF SPINAL CORD MEDICINE 2021年第SUPPL 1期44卷 S278-S324页

作者： [Anonymous] Department of Medicine Division of Physical Medicine and Rehabilitation University of Toronto Toronto ON CA KITE - Toronto Rehabilitation Institute University Health Network Toronto ON CA Institute for Health Policy Management and Evaluation University of Toronto Toronto ON CA Rehabilitation Sciences Institute University of Toronto Toronto ON CA Institute of Medical Sciences University of Toronto Toronto ON CA. Rehabilitation Sciences Institute University of Toronto ON CA KITE Research Institute-Toronto Rehab-University Health Network Toronto ON CA Physical Therapy Department University of Toronto ON CA Praxis Spinal Cord Institute Vancouver BC Université de Montréal (École de réadaptation) Montreal QC CA Institut de réadaptation Gingras-Linsay-de-Montréal Montreal QC CA Division of Physical Medicine & Rehabilitation Department of Medicine Faculty of Medicine & Dentistry University of Alberta Edmonton AB CA University of Calgary Calgary AB CA Alberta Health Services Centre for Family Medicine Kitchener ON CA McMaster University Department of Family Medicine Hamilton ON CA Dept. of Physical Therapy University of Toronto Toronto ON CA KITE-University Health Network Toronto ON CA Praxis Spinal Cord Institute Vancouver BC CA Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS) Quebec City QC CA Dept. of Rehabilitation Laval University Quebec City QC CA Institute of Health Policy Management and Evaluation University of Toronto Toronto ON CA School of Rehabilitation Science University of Saskatchewan Saskatoon SK CA Ontario Neurotrauma Foundation Toronto ON CA Canadian Spinal Research Organization Toronto ON CA CIUSSS du Centre-Sud-de-l ‘Île-de-Montréal (Installation Gingras-Lindsay) Montréal QC CA École de réadaptation Université de Montréal Montréal QC CA First Steps Wellness Centre Regina SK CA Stan Cassidy Centre for Rehabilitation Horizon Health Network Fredericton NB CA Departmen

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Evaluation of biomaterial scaffold delivery of IL-33 as a localized immunomodulatory agent to support cell transplantation in adipose tissue

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Journal of immunology and regenerative medicine 2018年 1卷 1-12页

作者： Jeffrey M H Liu Xiaomin Zhang Shelby Joe Xunrong Luo Lonnie D Shea Interdisciplinary Biological Sciences Program Northwestern University Evanston IL 60208 USA. Department of Biomedical Engineering University of Michigan Ann Arbor MI 48109 USA. Department of Surgery Division of Transplantation Feinberg School of Medicine Northwestern University Chicago IL 60611 USA. Center for Kidney Research and Therapeutics Feinberg Cardiovascular Research Institute Northwestern University Chicago IL 60611 USA. Department of Medicine Division of Nephrology and Hypertension Northwestern University Chicago IL 60611 USA.

INTRODUCTION:The development of novel immunomodulatory strategies that might decrease the need for systemic immune suppression would greatly enable the utility of cell-based therapies. Cell transplantation on biomaterial scaffolds offers a unique opportunity to engineer a site to locally polarize immunogenic antigen generation. Herein, we investigated the localized delivery of IL-33, which is a novel cytokine that has been shown to have beneficial immunomodulatory effects in certain transplant models as mediating anti-inflammatory properties in the adipose tissue, to determine its feasibility for use as an immunomodulatory agent. RESULTS:Localized IL-33 delivery from poly(lactide-co-glycolide) (PLG) scaffolds implanted into the epididymal fat specifically increased the Foxp3+ population of CD4+ T cells in both blank scaffold implants and scaffolds seeded with allogeneic islets. In allogeneic islet transplantation, we found IL-33 delivery results in a local upregulation of graft-protective T cells where 80% of the local CD4+ population is Foxp3+ and overall numbers of graft destructive CD8+ T cells are decreased, resulting in a prolonged graft survival. Interestingly, local IL-33 also delayed islet engraftment by primarily inducing a local upregulation of Th2 cytokines, including IL-4 and IL-5, leading to increased populations of ST2+ Type 2 innate lymphoid cells (ILC2s) and Siglec F+ eosinophils. CONCLUSIONS:These results suggest that local IL-33 delivery from biomaterial scaffolds can be used to increase Tregs enriched in adipose tissue and reduce graft-destructive T cell populations but may also promote innate cell populations that can delay cell engraftment.

关键词： biomaterials immunomodulation interleukin-33 transplantation

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