IL17RB Expression Might Predict Prognosis and Benefit From
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Small Intelligent Home System with Speech Recognition Based on ARM Processor
ISBN 978-981-14-1684-2 Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering Hong Kong, 15-17 June, 2019, pp. 545-550 Small Intelligent Home System with Speech Recognition Based On ARM Processor Hua Jiang 1,2 , Zihao Chen 1 1 School of Information Science and Technology, Nantong University, China 2 School of Tongke Microelectronics, Nantong University, China Abstract. The research is to design and implement the speaker independent speech recognition home system, and the final function achieves the recognition of isolated words. Through the module function integration, the speech recognition module LD3320 and the development board OK6410-A are connected. The results are processed, analyzed and judged after the speech module recognition results have been received by the ARM processor. Then the processor calls its own module function to indicate the recognition results. The program is implemented by C language in cross system compiler under Linux system. The downloading program is completed by the debugging function of the uboot. The opening and closing of the LED and the buzzer on the development board is completed by using 4 simple speech commands, including "kai deng", "la ba", "guan deng" and "fou jue". Then the intelligent home environment was simulated by 10 complex speech commands, including "wo shi", "chu fang", "ke ting", "dian shi" and so on. The results shows the small intelligent home system has been achieved. Keywords: Speech recognition, ARM, Linux, OK6410-A, LD3320 1. Introduction Embedding and hiding speech recognition system in the ARM platform will make full use of their advantages. Such products will be able to simulate people's consciousness and behavior for achieving more intelligent and humane. -
IL17RB Antibody Cat
IL17RB Antibody Cat. No.: 62-448 IL17RB Antibody Formalin-fixed and paraffin-embedded human colon Flow cytometric analysis of HepG2 cells using IL17RB carcinoma reacted with IL17RB Antibody , which was Antibody (bottom histogram) compared to a negative peroxidase-conjugated to the secondary antibody, control cell (top histogram). FITC-conjugated goat-anti- followed by DAB staining. rabbit secondary antibodies were used for the analysis. Specifications HOST SPECIES: Rabbit SPECIES REACTIVITY: Human This IL17_ antibody is generated from rabbits immunized with a KLH conjugated synthetic IMMUNOGEN: peptide between 207-234 amino acids from the Central region of human IL17_. TESTED APPLICATIONS: Flow, IHC-P, WB For WB starting dilution is: 1:1000 APPLICATIONS: For IHC-P starting dilution is: 1:10~50 For FACS starting dilution is: 1:10~50 September 25, 2021 1 https://www.prosci-inc.com/il17rb-antibody-62-448.html PREDICTED MOLECULAR 56 kDa WEIGHT: Properties This antibody is prepared by Saturated Ammonium Sulfate (SAS) precipitation followed by PURIFICATION: dialysis CLONALITY: Polyclonal ISOTYPE: Rabbit Ig CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: Supplied in PBS with 0.09% (W/V) sodium azide. CONCENTRATION: batch dependent Store at 4˚C for three months and -20˚C, stable for up to one year. As with all antibodies STORAGE CONDITIONS: care should be taken to avoid repeated freeze thaw cycles. Antibodies should not be exposed to prolonged high temperatures. Additional Info OFFICIAL SYMBOL: IL17RB Interleukin-17 receptor B, IL-17 receptor B, IL-17RB, Cytokine receptor-like 4, IL-17 ALTERNATE NAMES: receptor homolog 1, IL-17Rh1, IL17Rh1, Interleukin-17B receptor, IL-17B receptor, IL17RB, CRL4, EVI27, IL17BR ACCESSION NO.: Q9NRM6 PROTEIN GI NO.: 21263748 GENE ID: 55540 USER NOTE: Optimal dilutions for each application to be determined by the researcher. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Table S1| Differential Expression Analysis of the Atopy Transcriptome
Table S1| Differential expression analysis of the atopy transcriptome in CD4+ T-cell responses to allergens in atopic and nonatopic subjects Probe ID S.test Gene Symbol Gene Description Chromosome Statistic Location 7994280 10.32 IL4R Interleukin 4 receptor 16p11.2-12.1 8143383 8.95 --- --- --- 7974689 8.50 DACT1 Dapper, antagonist of beta-catenin, homolog 1 14q23.1 8102415 7.59 CAMK2D Calcium/calmodulin-dependent protein kinase II delta 4q26 7950743 7.58 RAB30 RAB30, member RAS oncogene family 11q12-q14 8136580 7.54 RAB19B GTP-binding protein RAB19B 7q34 8043504 7.45 MAL Mal, T-cell differentiation protein 2cen-q13 8087739 7.27 CISH Cytokine inducible SH2-containing protein 3p21.3 8000413 7.17 NSMCE1 Non-SMC element 1 homolog (S. cerevisiae) 16p12.1 8021301 7.15 RAB27B RAB27B, member RAS oncogene family 18q21.2 8143367 6.83 SLC37A3 Solute carrier family 37 member 3 7q34 8152976 6.65 TMEM71 Transmembrane protein 71 8q24.22 7931914 6.56 IL2R Interleukin 2 receptor, alpha 10p15-p14 8014768 6.43 PLXDC1 Plexin domain containing 1 17q21.1 8056222 6.43 DPP4 Dipeptidyl-peptidase 4 (CD26) 2q24.3 7917697 6.40 GFI1 Growth factor independent 1 1p22 7903507 6.39 FAM102B Family with sequence similarity 102, member B 1p13.3 7968236 5.96 RASL11A RAS-like, family 11, member A --- 7912537 5.95 DHRS3 Dehydrogenase/reductase (SDR family) member 3 1p36.1 7963491 5.83 KRT1 Keratin 1 (epidermolytic hyperkeratosis) 12q12-q13 7903786 5.72 CSF1 Colony stimulating factor 1 (macrophage) 1p21-p13 8019061 5.67 SGSH N-sulfoglucosamine sulfohydrolase (sulfamidase) 17q25.3 -
Table SI. Characteristics of 9 Patients Chosen from 60 Patients with Hepatocellular Carcinoma
Table SI. Characteristics of 9 patients chosen from 60 patients with hepatocellular carcinoma. Characteristic No. of patients (%) Age, years <50 3 (33.3) ≥50 6 (66.7) Sex Female 4 (44.4) Male 5 (55.6) Albumin, g/l ≥35 8 (88.9) <35 1 (11.1) AFP, ng/ml ≤20 2 (22.2) >20 7 (77.8) Tumor diameter, cm ≤5 3 (33.3) >5 6 (66.7) Portal vein invasion Without 3 (33.3) With 6 (66.7) BCLC stage A 2 (22.2) B/C 7 (77.8) AFP, α-fetoprotein; BCLC, Barcelona Clinic Liver Cancer. Table SII. List of the gene symbol and relative expression of six significant clusters. Gene symbol SPOT Profile Day 0 Day 3 Day 7 Day 14 Day 21 ALCAM ID_10 16 0 -356.5 378.5 0.1 307.8 ANGPT2 ID_13 16 0 -45.7 197.2 96 60.2 CD80 ID_24 16 0 -177 362 -29 187 CTNNB1 ID_29 16 0 -58 294 83 49 BMP4 ID_37 16 0 -107 189 0 53 CCL28 ID_49 16 0 -307 856 491 347 CCR1 ID_50 16 0 -189 391 236 112 CCR4 ID_53 16 0 -101 361 89 240 CCR7 ID_56 16 0 -98 361 103 66 CLC ID_70 16 0 -147 274 0 188 CRIM1 ID_74 16 0 -642 229 -48 -112 CXCL14 ID_83 16 0 -434 1,154.00 778 376 CXCL16 ID_84 16 0 -128 800 477 180 DKK3 ID_97 16 0 -199 610 107 3 FGFBP1 ID_129 16 0 -224 484 -155 37 FGF20 ID_147 16 0 -113 264 -32 -4 WFIKKN1 ID_163 16 0 -195 544 262 41 GFRA1 ID_175 16 0 -536 443 29 280 GFRA4 ID_178 16 0 -211 208 -47 116 TNFSF18 ID_180 16 0 -14 246 89 68 GPC5 ID_187 16 0 -180 1,345.00 298 509 GH1 ID_194 16 0 -596 206 10 -9 CCHCR1 ID_198 16 0 -108 322 50 238 NRG1 ID_200 16 0 -81 378.5 170.5 187 ICAM1 ID_207 16 0 -136 98 -17 63 IFNB1 ID_213 16 0 -87 233 143 29 IGFBP3 ID_218 16 0 -1,311.00 609 -368 -178 IGFBP4 ID_219 16 0 -
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association Between BMI and Adult-Onset Non- Atopic
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association between BMI and Adult-Onset Non- Atopic Asthma Ayoung Jeong 1,2, Medea Imboden 1,2, Akram Ghantous 3, Alexei Novoloaca 3, Anne-Elie Carsin 4,5,6, Manolis Kogevinas 4,5,6, Christian Schindler 1,2, Gianfranco Lovison 7, Zdenko Herceg 3, Cyrille Cuenin 3, Roel Vermeulen 8, Deborah Jarvis 9, André F. S. Amaral 9, Florian Kronenberg 10, Paolo Vineis 11,12 and Nicole Probst-Hensch 1,2,* 1 Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland; [email protected] (A.J.); [email protected] (M.I.); [email protected] (C.S.) 2 Department of Public Health, University of Basel, 4001 Basel, Switzerland 3 International Agency for Research on Cancer, 69372 Lyon, France; [email protected] (A.G.); [email protected] (A.N.); [email protected] (Z.H.); [email protected] (C.C.) 4 ISGlobal, Barcelona Institute for Global Health, 08003 Barcelona, Spain; [email protected] (A.-E.C.); [email protected] (M.K.) 5 Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain 6 CIBER Epidemiología y Salud Pública (CIBERESP), 08005 Barcelona, Spain 7 Department of Economics, Business and Statistics, University of Palermo, 90128 Palermo, Italy; [email protected] 8 Environmental Epidemiology Division, Utrecht University, Institute for Risk Assessment Sciences, 3584CM Utrecht, Netherlands; [email protected] 9 Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College, SW3 6LR London, UK; [email protected] (D.J.); [email protected] (A.F.S.A.) 10 Division of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria; [email protected] 11 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG London, UK; [email protected] 12 Italian Institute for Genomic Medicine (IIGM), 10126 Turin, Italy * Correspondence: [email protected]; Tel.: +41-61-284-8378 Int. -
Single-Cell Analysis of Crohn's Disease Lesions Identifies
bioRxiv preprint doi: https://doi.org/10.1101/503102; this version posted December 20, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Single-cell analysis of Crohn’s disease lesions identifies a pathogenic cellular module associated with resistance to anti-TNF therapy JC Martin1,2,3, G Boschetti1,2,3, C Chang1,2,3, R Ungaro4, M Giri5, LS Chuang5, S Nayar5, A Greenstein6, M. Dubinsky7, L Walker1,2,5,8, A Leader1,2,3, JS Fine9, CE Whitehurst9, L Mbow9, S Kugathasan10, L.A. Denson11, J.Hyams12, JR Friedman13, P Desai13, HM Ko14, I Laface1,2,8, Guray Akturk1,2,8, EE Schadt15,16, S Gnjatic1,2,8, A Rahman1,2,5,8, , M Merad1,2,3,8,17,18*, JH Cho5,17,*, E Kenigsberg1,15,16,17* 1 Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 2 Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 3 Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 4 The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA. 5 Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 6 Department of Colorectal Surgery, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 7 Department of Pediatrics, Susan and Leonard Feinstein IBD Clinical Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. -
Evolutionary Divergence and Functions of the Human Interleukin (IL) Gene Family Chad Brocker,1 David Thompson,2 Akiko Matsumoto,1 Daniel W
UPDATE ON GENE COMPLETIONS AND ANNOTATIONS Evolutionary divergence and functions of the human interleukin (IL) gene family Chad Brocker,1 David Thompson,2 Akiko Matsumoto,1 Daniel W. Nebert3* and Vasilis Vasiliou1 1Molecular Toxicology and Environmental Health Sciences Program, Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO 80045, USA 2Department of Clinical Pharmacy, University of Colorado Denver, Aurora, CO 80045, USA 3Department of Environmental Health and Center for Environmental Genetics (CEG), University of Cincinnati Medical Center, Cincinnati, OH 45267–0056, USA *Correspondence to: Tel: þ1 513 821 4664; Fax: þ1 513 558 0925; E-mail: [email protected]; [email protected] Date received (in revised form): 22nd September 2010 Abstract Cytokines play a very important role in nearly all aspects of inflammation and immunity. The term ‘interleukin’ (IL) has been used to describe a group of cytokines with complex immunomodulatory functions — including cell proliferation, maturation, migration and adhesion. These cytokines also play an important role in immune cell differentiation and activation. Determining the exact function of a particular cytokine is complicated by the influence of the producing cell type, the responding cell type and the phase of the immune response. ILs can also have pro- and anti-inflammatory effects, further complicating their characterisation. These molecules are under constant pressure to evolve due to continual competition between the host’s immune system and infecting organisms; as such, ILs have undergone significant evolution. This has resulted in little amino acid conservation between orthologous proteins, which further complicates the gene family organisation. Within the literature there are a number of overlapping nomenclature and classification systems derived from biological function, receptor-binding properties and originating cell type. -
Teravr Empowers Precise Reconstruction of Complete 3-D Neuronal Morphology in the Whole Brain
ARTICLE https://doi.org/10.1038/s41467-019-11443-y OPEN TeraVR empowers precise reconstruction of complete 3-D neuronal morphology in the whole brain Yimin Wang 1,2,3,14,QiLi2, Lijuan Liu1, Zhi Zhou1,4, Zongcai Ruan1, Lingsheng Kong2, Yaoyao Li5, Yun Wang4, Ning Zhong6,7, Renjie Chai8,9,10, Xiangfeng Luo2, Yike Guo11, Michael Hawrylycz4, Qingming Luo12, Zhongze Gu 13, Wei Xie 8, Hongkui Zeng 4 & Hanchuan Peng 1,4,14 1234567890():,; Neuron morphology is recognized as a key determinant of cell type, yet the quantitative profiling of a mammalian neuron’s complete three-dimensional (3-D) morphology remains arduous when the neuron has complex arborization and long projection. Whole-brain reconstruction of neuron morphology is even more challenging as it involves processing tens of teravoxels of imaging data. Validating such reconstructions is extremely laborious. We develop TeraVR, an open-source virtual reality annotation system, to address these challenges. TeraVR integrates immersive and collaborative 3-D visualization, interaction, and hierarchical streaming of teravoxel-scale images. Using TeraVR, we have produced precise 3-D full morphology of long-projecting neurons in whole mouse brains and developed a collaborative workflow for highly accurate neuronal reconstruction. 1 Southeast University – Allen Institute Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing 210096, China. 2 School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China. 3 Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China. 4 Allen Institute for Brain Science, Seattle 98109, USA. 5 School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou 325027, China. -
Chinese Public Diplomacy: the Rise of the Confucius Institute / Falk Hartig
Chinese Public Diplomacy This book presents the first comprehensive analysis of Confucius Institutes (CIs), situating them as a tool of public diplomacy in the broader context of China’s foreign affairs. The study establishes the concept of public diplomacy as the theoretical framework for analysing CIs. By applying this frame to in- depth case studies of CIs in Europe and Oceania, it provides in-depth knowledge of the structure and organisation of CIs, their activities and audiences, as well as problems, chal- lenges and potentials. In addition to examining CIs as the most prominent and most controversial tool of China’s charm offensive, this book also explains what the structural configuration of these Institutes can tell us about China’s under- standing of and approaches towards public diplomacy. The study demonstrates that, in contrast to their international counterparts, CIs are normally organised as joint ventures between international and Chinese partners in the field of educa- tion or cultural exchange. From this unique setting a more fundamental observa- tion can be made, namely China’s willingness to engage and cooperate with foreigners in the context of public diplomacy. Overall, the author argues that by utilising the current global fascination with Chinese language and culture, the Chinese government has found interested and willing international partners to co- finance the CIs and thus partially fund China’s international charm offensive. This book will be of much interest to students of public diplomacy, Chinese politics, foreign policy and international relations in general. Falk Hartig is a post-doctoral researcher at Goethe University, Frankfurt, Germany, and has a PhD in Media & Communication from Queensland Univer- sity of Technology, Australia. -
A New Location Detection Algorithm Research for the Boundary of Submarine Cable in Harbor Area 1 Zupei Yang (State Grid Fujian Power Co
2019 International Conference on Communications, Information System and Computer Engineering (CISCE 2019) Haikou, China 5 – 7 July 2019 IEEE Catalog Number: CFP19U49-POD ISBN: 978-1-7281-3682-0 Copyright © 2019 by the Institute of Electrical and Electronics Engineers, Inc. All Rights Reserved Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-copy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For other copying, reprint or republication permission, write to IEEE Copyrights Manager, IEEE Service Center, 445 Hoes Lane, Piscataway, NJ 08854. All rights reserved. *** This is a print representation of what appears in the IEEE Digital Library. Some format issues inherent in the e-media version may also appear in this print version. IEEE Catalog Number: CFP19U49-POD ISBN (Print-On-Demand): 978-1-7281-3682-0 ISBN (Online): 978-1-7281-3681-3 Additional Copies of This Publication Are Available From: Curran Associates, Inc 57 Morehouse Lane Red Hook, NY 12571 USA Phone: (845) 758-0400 Fax: (845) 758-2633 E-mail: [email protected] Web: www.proceedings.com 2019 International Conference on Communications, Information System and Computer Engineering (CISCE) CISCE 2019 Table of Contents CISCE 2019 Preface xx CISCE 2019 Committees xxi CISCE 2019 Reviewers xxiii Session 1: Circuits and Systems Design A New Location Detection Algorithm Research for the Boundary of Submarine Cable in Harbor Area 1 Zupei Yang (State Grid Fujian Power Co. -
Medical Students Coming to China
Consulate General of India Shanghai **** Information on Medical colleges in China Consulate General of India in Shanghai has been receiving queries from prospective Indian students and their parents with respect to studying MBBS in China and colleges in China which are authorized to impart MBBS courses to foreign students. 2. In this regard, Consulate General of India would like to inform that Ministry of Education of China had recently issued an official communication wherein they have shared the list of 45 Universities in China that are authorized to give admission to foreign students (including Indian students) to undertake MBBS degree course (in English language) in China for the year 2019. 3. Prospective students are advised to note carefully that only these 45 Chinese Universities are authorized to admit international students for an MBBS degree in English. They may also note the warning in the notification that teaching of MBBS courses under a bilingual (English/Chinese) model is strictly forbidden. 4. More details of the same can also be obtained from the website of MOE, People’s Republic of China in the following weblink: http://moe.gov.cn/srcsite/A20/moe_850?201901/t2019124_368005.html 5. The translation of the details in the weblink is as follows: The Announcement of General Office of the Ministry of Education on University list and enrollment plan for International MBBS undergraduates (English Teaching) for the school year 2019-2020 No. [2019] 3 Department of Education (Education Committee) of provinces, autonomous regions and municipalities directly under the Central Government and Bureau of Education of Xinjiang Production and Construction Corps: In accordance with the spirit of Notice No.