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2013 IEEE Conference Anthology, ANTHOLOGY 2013

作者： Kim, Gi Myung Kim, Se Hwan Hong, Seung Ho Lee, Jin Department of Electrical Control and Instrumentation Engineering Hanyang University Ansan Korea Republic of Head of Advanced Technology RandD Center Research and Development Group LS Industrial Systems Co. Ltd. Anyang Korea Republic of

ISBN: (纸本)9781479916603

Smart Grid (SG) is a modernized and a future-oriented electric grid that deals with the whole energy chain from generation to consumer. Among SG applications, demand response (DR) is an important control mechanism to manage the electricity consumption of the customer in response to the supply condition. In buildings, DR is managed through communication networks installed in the buildings. These communication protocols must include DR-supporting applications. BACnet (Building automation and control network) [3] is an international standard communication protocol for building automation and control systems (BACS). BACnet uses ZigBee as a wireless communication protocol for BACS. Both BACnet and ZigBee have their own DR applications. In this study, we developed a BACnet-ZigBee gateway that maps the DR application of BACnet to that of ZigBee. The function of the BACnet-ZigBee gateway was verified through experiment. © 2013 IEEE.

关键词： Zigbee

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Generalized predictive control of pH neutralization process based on fuzzy inverse model

Generalized predictive control of pH neutralization process ...

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Iranian Conference on Fuzzy Systems (IFSC)

作者： Davood Shaghaghi Hossein MonirVaghefi Alireza Fatehi Advanced Process Automation & Control (APAC) Research Group K. N. Toosi University of Technology Tehran Iran

control of pH neutralization process has always been one of challenging problem in process control. The method presented here to control this process is the fuzzy identification of systems using Wiener model, and then multiplying the measured signal by the inverse of the nonlinear part of model. Therefore, we can design a linear controller for this new augmented system. This strategy is implemented in a generalized predictive control. One of the advantages of this control structure is consideration of explicit constraint in control of systems which also included in proposed fuzzy predictive control. At the end, the proposed method is tested on the model of a pH neutralization process.

关键词： Predictive control Predictive models Adaptation models Fuzzy systems Cost function Nonlinear dynamical systems

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XXIV World Allergy Congress 2015 Seoul, Korea. 14-17 October 2015 Abstracts

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WORLD ALLERGY ORGANIZATION JOURNAL 2016年第1期9卷 1-206页

作者： [Anonymous] Korea University College of Medicine Guro Hospital Seoul South Korea College of Medicine Korea University Seoul South Korea Korea University Guro Hospital Seoul South Korea Seoul National University Boramae Hospital Seoul South Korea Division of Clinical Immunology Faculty of Medicine University of Debrecen Debrecen Hungary Meiji Pharmaceutical University Tokyo Japan Suri Medical Foundation Hospital Uttar Pradesh State India Shahid Beheshti University Tehran Iran Airlangga University Teaching Hospital Surabaya Indonesia Tokyo Metropolitan Police Hospital Tokyo Japan Shinichiro KogaSamsung Changwon Hospital Seoul South Korea Sapporo Tokushukai Hospital Sapporo Japan Department of Dermatology Yonsei University College of Medicine Seoul South Korea Brain Korea 21 PLUS Project for Medical Science Yonsei University College of Medicine Seoul South Korea Sureyyapasa Chest Diseases and Chest Surgery Training Hospital Istanbul Turkey Kangnam Sacred Heart Hospital Seoul South Korea Sakai City Medical Center Sakai Japan Osaka University Suita Japan Yonsei University College of Medicine Seoul South Korea Osaka-Minami Medical Center Kawachinagano Japan Inha University College of Medicine Incheon South Korea Inha University Hospital Incheon South Korea Center for Rhinology and Allergology Wiesbaden Wiesbaden Germany Leti Pharma Gmbh Witten Germany Postgraduate Institute of Medical Education and Research Chandigarh India West Bengal Technical University Kolkata India Institute of Microbiology Academy of Sciences of the Czech Republic Prague Czech Republic Seoul National University Hospital Seoul South Korea Ent and Allergy Centre(INDIA) Panchkula India University of Santo Tomas Hospital Manila Philippines University of Santo Tomas Faculty of Medicine Manila Philippines Kyung Hee University Hospital at Gang-Dong Seoul South Korea Sangji University Wonju South Korea Division of Allergy and Immunology Department of Internal Medicine Yonsei University Colle

A1 Pirfenidone inhibits TGF-b1-induced extracellular matrix production in nasal polyp-derived fibroblasts Jae-Min Shin, Heung-Man Lee, Il-Ho Park A2 The efficacy of a 2-week course of oral steroid in the treatment of chronic spontaneous urticaria refractory to antihistamines Hyun-Sun Yoon, Gyeong Yul Park A3 The altered distribution of follicular t helper cells may predict a more pronounced clinical course of primary sjögren’s syndrome Margit Zeher A4 Betamethasone suppresses Th2 cell development induced by langerhans cell like dendritic cells Katsuhiko Matsui, Saki Tamai, Reiko Ikeda A5 An evaluation of variousallergens in cases of allergic bronchial asthma at lucknow and neighbouring districts by intradermal skintest Drsushil Suri, Dranu Suri A6 Evaluation ferqency of ADHD in childhood asthma Marzieh Heidarzadeh Arani A7 Steven johnson syndrome caused by typhoid fever in a child Azwin Lubis, Anang Endaryanto A8 Chronic Bronchitis with Radio Contrast Media Hypersensitivity: A Case with Hypothesized GINA Step 1 Asthma Shinichiro Koga A9 The association between asthma and depression in Korean adult : An analysis of the fifth korea national health and nutrition examination survey (2010-2012) Lee Ju Suk A10 Management of allergic disease exacerbations in pregnancy Yasunobu Tsuzuki A11 Subcutaneous immunotherapy mouse model for atopic dermatitis Seo Hyeong Kim, Jung U Shin, Ji Yeon Noh, Shan Jin, Shan Jin, Hemin Lee, Jungsoo Lee, Chang Ook Park, Kwang Hoon Lee, Kwang Hoon Lee A12 Atopic disease and/or atopy are risk factors for local anesthetic allergy in patients with history of hypersensitivity reactions to drugs? Fatma Merve Tepetam A13 Food hypersensitivity in patients with atopic dermatitis in Korea Chun Wook Park, Jee Hee Son, Soo Ick Cho, Yong Se Cho, Yun Sun Byun, Yoon Seok Yang, Bo Young Chung, Hye One Kim, Hee Jin Cho A14 Anaphylaxis caused by an ant (Brachyponera chinensis) in Japan Yoshinori Katada, Toshio Tanaka, Akihiko Nakabayashi, Koji Nishida, Kenichi A

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Highlights from the 11th ISCB Student Council Symposium 2015. Dublin, Ireland. 10 July 2015

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BMC bioinformatics 2016年第3期17 Suppl 3卷 95页

作者： Katie Wilkins Mehedi Hassan Margherita Francescatto Jakob Jespersen R. Gonzalo Parra Bart Cuypers Dan DeBlasio Alexander Junge Anupama Jigisha Farzana Rahman Griet Laenen Sander Willems Lieven Thorrez Yves Moreau Nagarajan Raju Sonia Pankaj Chothani C. Ramakrishnan Masakazu Sekijima M. Michael Gromiha Paddy J Slator Nigel J Burroughs Przemysław Szałaj Zhonghui Tang Paul Michalski Oskar Luo Xingwang Li Yijun Ruan Dariusz Plewczynski Giulia Fiscon Emanuel Weitschek Massimo Ciccozzi Paola Bertolazzi Giovanni Felici Pieter Meysman Manu Vanaerschot Maya Berg Hideo Imamura Jean-Claude Dujardin Kris Laukens Westa Domanova James R. Krycer Rima Chaudhuri Pengyi Yang Fatemeh Vafaee Daniel J. Fazakerley Sean J. Humphrey David E. James Zdenka Kuncic Plant Pathology and Plant-Microbe Biology Section School of Integrative Plant Science Cornell University Ithaca USA Graduate Field of Computational Biology Cornell University Ithaca USA School of Computing & Mathematics University of South Wales Cardiff UK Department of Genome Biology for Neurodegenerative Diseases German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association ᅟ Germany Department of Surgery Massachusetts General Hospital The Broad Institute of MIT and Harvard Boston USA Department of Systems Biology Technical University of Denmark Kemitorvet Denmark Protein Physiology Lab Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires Buenos Aires Argentina Molecular Parasitology Unit (MPU) Institute of Tropical Medicine Antwerp Belgium Advanced Database Research and Modeling (ADReM) research group University of Antwerp Antwerpen Belgium Department of Computer Science University of Arizona Tucson USA Department of Veterinary Clinical and Animal Sciences Center for non-coding RNA in Technology and Health University of Copenhagen Copenhagen Denmark University College Dublin Dublin Ireland Department of Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium Minds Medical IT Department Leuven Belgium Scientific Institute of Public Health (WIV-ISP) Platform of Biotechnology and Molecular Biology (PBB) Brussels Belgium Department of Development and Regeneration @ Kulak KU Leuven Kortrijk Belgium Department of Biotechnology Bhupat and Jyoti Metha School of Biosciences Indian Institute of Technology Madras Chennai India Philips Research North America Briarcliff Manor USA Global Scientific Information and Computing Center (GSIC) Tokyo Institute of Technology Tokyo Japan Systems Biology Centre University of Warwick Senate House Coventry UK Systems Biology Doctoral Training Centre University of Warwick Senate House Coventry UK Center for B

A1 Highlights from the eleventh ISCB Student Council Symposium 2015 Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman O1 Prioritizing a drug’s targets using both gene expression and structural similarity Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau O2 Organism specific protein-RNA recognition: A computational analysis of protein-RNA complex structures from different organisms Nagarajan Raju, Sonia Pankaj Chothani, C. Ramakrishnan, Masakazu Sekijima; M. Michael Gromiha O3 Detection of Heterogeneity in Single Particle Tracking Trajectories Paddy J Slator, Nigel J Burroughs O4 3D-NOME: 3D NucleOme Multiscale Engine for data-driven modeling of three-dimensional genome architecture Przemysław Szałaj, Zhonghui Tang, Paul Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski O5 A novel feature selection method to extract multiple adjacent solutions for viral genomic sequences classification Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici O6 A Systems Biology Compendium for Leishmania donovani Bart Cuypers, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens O7 Unravelling signal coordination from large scale phosphorylation kinetic data Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic

关键词： Visceral Leishmaniasis Feature Selection Method Frequent Itemset Mining Leishmania Donovani Student Council

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Fault Detection and Isolation of a cement rotary kiln using fuzzy clustering algorithm

Fault Detection and Isolation of a cement rotary kiln using ...

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Iranian Conference on Fuzzy Systems (IFSC)

作者： Nayereh Talebnezhad Alireza Fatehi Mahdi Aliyari Shoorehdeli Faculty of Graduate Studies Islamic Azad University Tehran Iran Advanced Process Automation & Control (APAC) Research Group K. N. Toosi University of Technology Tehran Iran

In this paper, Fault Detection and Isolation (FDI) is studied for the rotary kiln of Saveh White Cement Company. To do so, K-means algorithm as a crisp clustering, Fuzzy C-Means (FCM), and Gustafson-Kessel (GK) algorithms as fuzzy clustering are used. In those, for finding number of clusters, Cluster Validity Indices (CVI) are applied. Principal Component Analysis (PCA) mapped the clusters into two dimensional spaces. Fault detection and isolation performance are evaluated by three criteria namely sensitivity, specificity, and confusion matrix. The results reveal that GK fuzzy algorithm provides better performance on detection and isolation of fault in this industrial plant.

关键词： Clustering algorithms Kilns Fault detection Principal component analysis Coatings Fault diagnosis

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ESICM LIVES 2016: part one Milan, Italy. 1-5 October 2016 Abstracts

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INTENSIVE CARE MEDICINE EXPERIMENTAL 2016年第SUPPL 1期4卷 1-1页

作者： [Anonymous] Academic Medical Center University of Amsterdam Amsterdam Netherlands UMCU Utrecht Netherlands Autonomous University of Barcelona Barcelona Spain Hospital São Francisco Xavier Lisbon Portugal CHU Henri Mondor Medical ICU Créteil France Université de Paris Est-Créteil Groupe de Recherche Clinique CARMAS Créteil France Hôpital Tenon APHP Medical and Surgical ICU Paris France Université Paris Diderot Sorbonne Paris Cité UMR 1153 Paris France Interdepartmental Division of Critical Care University of Toronto Toronto Canada University Health Network University of Toronto Critical Care Medicine Toronto Canada University of Milan - Bicocca Health Sciences School of Medicine and Surgery Monza Italy St Michael’s Hospital University of Toronto Anesthesia Toronto Canada CHU d’Angers Medical ICU Angers France Interdepartmental Division of Critical Care University of Toronto Saint Michael’s Hospital and Keenan Research Centre Toronto Canada University of Birmingham Institute for Inflammation and Ageing Birmingham UK University of Sheffield Mathematics and Statistics Help Centre Sheffield UK Heart of England NHS Foundation Trust Intensive Care Medicine Birmingham UK Department of Surgery University Hospitals Birmingham NHS Trust Birmingham UK University Hospitals Birmingham NHS Trust Anaesthesia and Critical Care Medicine Birmingham UK Queen’s University of Belfast Wellcome-Wolfson Institute for Experimental Medicine Belfast UK Royal Victoria Hospital Intensive Care Medicine Belfast UK University of Warwick Warwick Clinical Trials Unit Coventry UK University of Bari ‘Aldo Moro’ Bari Italy Hospital Israelita Albert Einstein São Paulo Brazil Mayo Clinic Jacksonville USA Mahidol University Faculty of Tropical Medicine Bangkok Thailand University Medical Center Utrecht Intensive Care Utrecht Netherlands University Medical Center Utrecht Julius Center for Health Sciences and Primary Care Utrecht Netherlands Academic Medical Center University of Amste

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Two-Degree-of-Freedom Helicopter Closed-loop Identification through a Cascade controller

Two-Degree-of-Freedom Helicopter Closed-loop Identification ...

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7th International Conference on MEMS, NANO and Smart Systems (ICMENS 2011)

作者： Ghalei, Pouya Fatehi, Alireza Arvan, Mohamadreza Advanced Process Automation and Control (APAC) Research Group K.N. Toosi University of Technology Tehran Iran Electrical Engineering Department Malek-Ashtar University of Technology Tehran Iran

ISBN: (纸本)9783037853122

Input-Output data modeling using multi layer perceptron networks (MLP) for a laboratory helicopter is presented in this paper. The behavior of the two degree-of-freedom platform exemplifies a high order unstable, nonlinear system with significant cross-coupling between pitch and yaw directional motions. This paper develops a practical algorithm for identifying nonlinear autoregressive model with exogenous inputs (NARX) and nonlinear output error model (NOE) through closed loop identification. In order to collect input-output identifier pairs, a cascade state feedback (CSF) controller is introduced to stabilize the helicopter and after that the procedure of system identification is proposed. The estimated models can be utilized for nonlinear flight simulation and control and fault detection studies.

关键词： Twin rotor helicopter MLP neural network NARX NOE Cascade State Feedback controller

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Model-based Tracking for Agent-based control Systems in the Case of Sensor Failures

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International Journal of Automation and computing 2012年第6期9卷 561-569页

作者： R.P.Yadav P.V.Varde P.S.V.Nataraj P.Fatnani C.P.Navathe Accelerator Control Section Accelerator Control and Beam Diagnostics DivisionRaja Ramanna Centre for Advanced Technology Life Cycle Reliability Engineering Lab Safety Evaluation and Manpower Training and Development SectionBhabha Atomic Research Centre Inter Disciplinary Program in Systems and Control Engineering Group Indian Institute of Technology Bombay

The study on artificial intelligence(AI) methods for tuning of particle accelerators has been reported in many *** paper presents tuning method for agent-based control systems of transport lines in the case of sensor/actuator *** method uses model-based tracking concept to relax the demand on sensor *** condition for successful operation of the stated scheme is derived,and the concept is demonstrated through simulation by applying it to the model of microtron,transport line-1 and booster of indus *** results show that this approach is very effective in transport line control during sensor/actuator failures.

关键词： Agent agent-based control model-based tracking transport line control artificial intelligence(AI).

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Non-monotonic fuzzy state feedback controller design for discrete Time T-S fuzzy systems

Non-monotonic fuzzy state feedback controller design for dis...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Siavash Fakhimi Derakhshan Alireza Fatehi Mehrad Ghasem Sharabiany Advanced Process Automation and Control (APAC) Research Group K. N. Toosi University of Technology Tehran Iran

In this paper a new approach is proposed to design state feedback controllers for well known T-S fuzzy systems. The used controller structure is in familiar parallel distributed compensation (PDC) format and the Lyapunov candidate is the frequently used common quadratic one. The only difference is the stability theorem used which is a revised version of Lyapunov stability theorem that relaxes monotonic condition. It is shown that the proposed method is less conservative than common quadratic method and piecewise method.

关键词： Lyapunov methods Fuzzy systems Stability analysis Asymptotic stability State feedback Linear matrix inequalities Symmetric matrices

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Etiologic heterogeneity among non-hodgkin lymphoma subtypes: The interLymph non-hodgkin lymphoma subtypes project

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Journal of the National Cancer Institute - Monographs 2014年第48期2014卷 130-144页

作者： Morton, Lindsay M. Slager, Susan L. Cerhan, James R. Wang, Sophia S. Vajdic, Claire M. Skibola, Christine F. Bracci, Paige M. de Sanjosé, Silvia Smedby, Karin E. Chiu, Brian C. H. Zhang, Yawei Mbulaiteye, Sam M. Monnereau, Alain Turner, Jennifer J. Clavel, Jacqueline Adami, Hans-Olov Chang, Ellen T. Glimelius, Bengt Hjalgrim, Henrik Melbye, Mads Crosignani, Paolo di Lollo, Simonetta Miligi, Lucia Nanni, Oriana Ramazzotti, Valerio Rodella, Stefania Costantini, Adele Seniori Stagnaro, Emanuele Tumino, Rosario Vindigni, Carla Vineis, Paolo Becker, Nikolaus Benavente, Yolanda Boffetta, Paolo Brennan, Paul Cocco, Pierluigi Foretova, Lenka Maynadié, Marc Nieters, Alexandra Staines, Anthony Colt, Joanne S. Cozen, Wendy Davis, Scott de Roos, Anneclaire J. Hartge, Patricia Rothman, Nathaniel Severson, Richard K. Holly, Elizabeth A. Call, Timothy G. Feldman, Andrew L. Habermann, Thomas M. Liebow, Mark Blair, Aaron Cantor, Kenneth P. Kane, Eleanor V. Lightfoot, Tracy Roman, Eve Smith, Alex Brooks-Wilson, Angela Connors, Joseph M. Gascoyne, Randy D. Spinelli, John J. Armstrong, Bruce K. Kricker, Anne Holford, Theodore R. Lan, Qing Zheng, Tongzhang Orsi, Laurent Dal Maso, Luigino Franceschi, Silvia La Vecchia, Carlo Negri, Eva Serraino, Diego Bernstein, Leslie Levine, Alexandra Friedberg, Jonathan W. Kelly, Jennifer L. Berndt, Sonja I. Birmann, Brenda M. Clarke, Christina A. Flowers, Christopher R. Foran, James M. Kadin, Marshall E. Paltiel, Ora Weisenburger, Dennis D. Linet, Martha S. Sampson, Joshua N. Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Bethesda MD United States Department of Health Sciences Research College of Medicine Mayo Clinic Rochester MN United States Department of Cancer Etiology City of Hope Beckman Research Institute Duarte CA United States Prince of Wales Clinical School University of New South Wales Sydney Australia Department of Epidemiology Comprehensive Cancer Center University of Alabama Birmingham AL United States Department of Epidemiology and Biostatistics School of Medicine University of California San Francisco San Francisco CA United States Unit of Infections and Cancer (UNIC) Cancer Epidemiology Research Programme Institut Català d' Oncologia IDIBELL L'Hospitalet de Llobregat Barcelona Spain CIBER de Epidemiología y Salud Pública (CIBERESP) Barcelona Spain Unit of Clinical Epidemiology Department of Medicine Solna Karolinska Institutet Karolinska University Hospital Stockholm Sweden Department of Health Studies University of Chicago Chicago IL United States Department of Environmental Health Sciences Yale School of Public Health New Haven CT United States INSERM Centre for Research in Epidemiology and Population Health (CESP) U1018 Environmental Epidemiology of Cancer Group Villejuif France Univ Paris Sud UMRS 1018 Villejuif France Registry of Hematological Malignancies in Gironde Bergonié Institute 33076 Bordeaux France Department of Histopathology Douglass Hanly Moir Pathology Macquarie Park Australia The Australian School of Advanced Medicine Macquarie University Sydney Australia Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden Department of Epidemiology Harvard School of Public Health Boston MA United States Health Sciences Practice Exponent Inc. Menlo Park CA United States Department of Health Research and Policy Stanford University School of Medicine Stanford CA United States Department of Oncolo

Background: Non-Hodgkin lymphoma (NHL) comprises biologically and clinically heterogeneous subtypes. Previously, study size has limited the ability to compare and contrast the risk factor profiles among these heterogeneous subtypes. Methods: We pooled individual-level data from 17 471 NHL cases and 23 096 controls in 20 case-control studies from the International Lymphoma Epidemiology Consortium (InterLymph). We estimated the associations, measured as odds ratios, between each of 11 NHL subtypes and self-reported medical history, family history of hematologic malignancy, lifestyle factors, and occupation. We then assessed the heterogeneity of associations by evaluating the variability (Q value) of the estimated odds ratios for a given exposure among subtypes. Finally, we organized the subtypes into a hierarchical tree to identify groups that had similar risk factor profiles. Statistical significance of tree partitions was estimated by permutation-based P values (PNODE). Results: Risks differed statistically significantly among NHL subtypes for medical history factors (autoimmune diseases, hepatitis C virus seropositivity, eczema, and blood transfusion), family history of leukemia and multiple myeloma, alcohol consumption, cigarette smoking, and certain occupations, whereas generally homogeneous risks among subtypes were observed for family history of NHL, recreational sun exposure, hay fever, allergy, and socioeconomic status. Overall, the greatest difference in risk factors occurred between T-cell and B-cell lymphomas (PNODE < 1.0 × 10^-4), with increased risks generally restricted to T-cell lymphomas for eczema, T-cell-activating autoimmune diseases, family history of multiple myeloma, and occupation as a painter. We further observed substantial heterogeneity among B-cell lymphomas (PNODE < 1.0 × 10^-4). Increased risks for B-cell-activating autoimmune disease and hepatitis C virus seropositivity and decreased r

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