LEADER 03087nam 22007695 450 001 996466033303316 005 20230406053940.0 010 $a3-540-46480-8 024 7 $a10.1007/11893028 035 $a(CKB)1000000000283941 035 $a(SSID)ssj0000319142 035 $a(PQKBManifestationID)11232846 035 $a(PQKBTitleCode)TC0000319142 035 $a(PQKBWorkID)10337018 035 $a(PQKB)10537606 035 $a(DE-He213)978-3-540-46480-8 035 $a(MiAaPQ)EBC3068575 035 $a(PPN)123139023 035 $a(EXLCZ)991000000000283941 100 $a20110118d2006 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aNeural Information Processing$b[electronic resource] $e13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I /$fedited by Jun Wang, Laiwan Chan, DeLiang Wang 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XLVI, 1164 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4232 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-46479-4 320 $aIncludes bibliographical references and index. 327 $aNeurobiological Modeling and Analysis -- Cognitive Processing -- Mathematical Modeling and Analysis -- Learning Algorithms -- Support Vector Machines -- Self-Organizing Map -- Independent Component Analysis and Blind Source Separation -- Erratum. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4232 606 $aArtificial intelligence 606 $aComputer science 606 $aInformation technology?Management 606 $aApplication software 606 $aDatabase management 606 $aComputer vision 606 $aArtificial Intelligence 606 $aTheory of Computation 606 $aComputer Application in Administrative Data Processing 606 $aComputer and Information Systems Applications 606 $aDatabase Management 606 $aComputer Vision 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aInformation technology?Management. 615 0$aApplication software. 615 0$aDatabase management. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aComputer Application in Administrative Data Processing. 615 24$aComputer and Information Systems Applications. 615 24$aDatabase Management. 615 24$aComputer Vision. 676 $a006.3 702 $aWang$b Jun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChan$b Laiwan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b DeLiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466033303316 996 $aNeural Information Processing$92554499 997 $aUNISA LEADER 04043nam 2200613 a 450 001 9910969759603321 005 20251117095634.0 010 $a1-280-67625-6 010 $a9786613653185 010 $a0-309-22070-X 035 $a(CKB)2550000000103303 035 $a(EBL)3378975 035 $a(SSID)ssj0000654728 035 $a(PQKBManifestationID)12238072 035 $a(PQKBTitleCode)TC0000654728 035 $a(PQKBWorkID)10673790 035 $a(PQKB)11671129 035 $a(Au-PeEL)EBL3378975 035 $a(CaPaEBR)ebr10565361 035 $a(CaONFJC)MIL365318 035 $a(OCoLC)771952350 035 $a(MiAaPQ)EBC3378975 035 $a(BIP)46356549 035 $a(BIP)37359391 035 $a(EXLCZ)992550000000103303 100 $a20120217d2012 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBreast cancer and the environment $ea life course approach /$fCommittee on Breast Cancer and the Environment : The Scientific Evidence, Research Methodology, and Future Directions, Board on Health Care Services, Board on Health Sciences Policy, Institute of Medicine of the National Academies 205 $a1st ed. 210 $aWashington, D.C. $cNational Academies Press$dc2012 215 $a1 online resource (469 p.) 300 $aDescription based upon print version of record. 311 08$a0-309-22069-6 320 $aIncludes bibliographical references. 327 $aBackground, definitions, concepts -- What we have learned from current approaches to studying environmental risk factors -- Challenges of studying environmental risk factors for breast cancer -- Examining mechanisms of breast cancer over the life course : implications for risk -- Opportunities for action to reduce environmental risks for breast cancer -- Recommendations for future research. 330 $aBreast cancer remains the most common invasive cancer among women. The primary patients of breast cancer are adult women who are approaching or have reached menopause; 90 percent of new cases in U.S. women in 2009 were diagnosed at age 45 or older. Growing knowledge of the complexity of breast cancer stimulated a transition in breast cancer research toward elucidating how external factors may influence the etiology of breast cancer. Breast Cancer and the Environment reviews the current evidence on a selection of environmental risk factors for breast cancer, considers gene-environment interactions in breast cancer, and explores evidence-based actions that might reduce the risk of breast cancer. The book also recommends further integrative research into the elements of the biology of breast development and carcinogenesis, including the influence of exposure to a variety of environmental factors during potential windows of susceptibility during the full life course, potential interventions to reduce risk, and better tools for assessing the carcinogenicity of environmental factors. For a limited set of risk factors, evidence suggests that action can be taken in ways that may reduce risk for breast cancer for many women: avoiding unnecessary medical radiation throughout life, avoiding the use of some forms of postmenopausal hormone therapy, avoiding smoking, limiting alcohol consumption, increasing physical activity, and minimizing weight gain. Breast Cancer and the Environment sets a direction and a focus for future research efforts. The book will be of special interest to medical researchers, patient advocacy groups, and public health professionals. 606 $aBreast$xTumors$xEtiology 606 $aBreast$xTumors$xPrevention 606 $aDiseases$xRisk factors 615 0$aBreast$xTumors$xEtiology. 615 0$aBreast$xTumors$xPrevention. 615 0$aDiseases$xRisk factors. 676 $a362.19699/449 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910969759603321 996 $aBreast cancer and the environment$94473410 997 $aUNINA