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  • Articles  (2,154)
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  • 1
    ISSN: 1433-3058
    Keywords: Neural networks ; Length-of-stay ; Psychiatry ; Resource utilization ; Back propagation ; Field study
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract Demands for health care reform will increase service utilization, much of which will fall on a system of expanded primary care providers, many of whom will not be specialists in psychiatry. These providers will need tools to augment their decision-making process. In this paper, we explore the use of Artificial Neural Networks (ANNs) in three different field sites to predict inpatient psychiatric Length-Of-Stay (LOS). This study describes the development and implementation of a runtime system in three different psychiatric facilities. Data was collected at these respective sites using the runtime system, and then this data was used to retrain the networks to determine if site-specific data would improve accuracy of prediction of LOS. The results indicate that ANNs trained with state hospital data could accurately predict LOS in two different community hospital psychiatric units. When the respective ANNs were retrained with approximately 10% new data from these specific hospitals, rates of improvement ranged from 3% to 15%. Our findings demonstrate that an ANN can adapt to different treatment settings and, when retrained, significantly improve prediction of LOS. Prediction rates by the ANN after retraining are comparable to results of a clinical team.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 1999-08-07
    Description: The functions of many open reading frames (ORFs) identified in genome-sequencing projects are unknown. New, whole-genome approaches are required to systematically determine their function. A total of 6925 Saccharomyces cerevisiae strains were constructed, by a high-throughput strategy, each with a precise deletion of one of 2026 ORFs (more than one-third of the ORFs in the genome). Of the deleted ORFs, 17 percent were essential for viability in rich medium. The phenotypes of more than 500 deletion strains were assayed in parallel. Of the deletion strains, 40 percent showed quantitative growth defects in either rich or minimal medium.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Winzeler, E A -- Shoemaker, D D -- Astromoff, A -- Liang, H -- Anderson, K -- Andre, B -- Bangham, R -- Benito, R -- Boeke, J D -- Bussey, H -- Chu, A M -- Connelly, C -- Davis, K -- Dietrich, F -- Dow, S W -- El Bakkoury, M -- Foury, F -- Friend, S H -- Gentalen, E -- Giaever, G -- Hegemann, J H -- Jones, T -- Laub, M -- Liao, H -- Liebundguth, N -- Lockhart, D J -- Lucau-Danila, A -- Lussier, M -- M'Rabet, N -- Menard, P -- Mittmann, M -- Pai, C -- Rebischung, C -- Revuelta, J L -- Riles, L -- Roberts, C J -- Ross-MacDonald, P -- Scherens, B -- Snyder, M -- Sookhai-Mahadeo, S -- Storms, R K -- Veronneau, S -- Voet, M -- Volckaert, G -- Ward, T R -- Wysocki, R -- Yen, G S -- Yu, K -- Zimmermann, K -- Philippsen, P -- Johnston, M -- Davis, R W -- HG00185-02/HG/NHGRI NIH HHS/ -- HG01627/HG/NHGRI NIH HHS/ -- HG01633/HG/NHGRI NIH HHS/ -- etc. -- New York, N.Y. -- Science. 1999 Aug 6;285(5429):901-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305-5307, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10436161" target="_blank"〉PubMed〈/a〉
    Keywords: Culture Media ; *Gene Deletion ; Gene Expression Regulation, Fungal ; Gene Targeting ; *Genes, Essential ; Genes, Fungal ; *Genome, Fungal ; *Open Reading Frames ; Phenotype ; Polymerase Chain Reaction ; Recombination, Genetic ; Saccharomyces cerevisiae/*genetics/growth & development
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2010-11-06
    Description: Infectious and inflammatory diseases have repeatedly shown strong genetic associations within the major histocompatibility complex (MHC); however, the basis for these associations remains elusive. To define host genetic effects on the outcome of a chronic viral infection, we performed genome-wide association analysis in a multiethnic cohort of HIV-1 controllers and progressors, and we analyzed the effects of individual amino acids within the classical human leukocyte antigen (HLA) proteins. We identified 〉300 genome-wide significant single-nucleotide polymorphisms (SNPs) within the MHC and none elsewhere. Specific amino acids in the HLA-B peptide binding groove, as well as an independent HLA-C effect, explain the SNP associations and reconcile both protective and risk HLA alleles. These results implicate the nature of the HLA-viral peptide interaction as the major factor modulating durable control of HIV infection.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3235490/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3235490/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉International HIV Controllers Study -- Pereyra, Florencia -- Jia, Xiaoming -- McLaren, Paul J -- Telenti, Amalio -- de Bakker, Paul I W -- Walker, Bruce D -- Ripke, Stephan -- Brumme, Chanson J -- Pulit, Sara L -- Carrington, Mary -- Kadie, Carl M -- Carlson, Jonathan M -- Heckerman, David -- Graham, Robert R -- Plenge, Robert M -- Deeks, Steven G -- Gianniny, Lauren -- Crawford, Gabriel -- Sullivan, Jordan -- Gonzalez, Elena -- Davies, Leela -- Camargo, Amy -- Moore, Jamie M -- Beattie, Nicole -- Gupta, Supriya -- Crenshaw, Andrew -- Burtt, Noel P -- Guiducci, Candace -- Gupta, Namrata -- Gao, Xiaojiang -- Qi, Ying -- Yuki, Yuko -- Piechocka-Trocha, Alicja -- Cutrell, Emily -- Rosenberg, Rachel -- Moss, Kristin L -- Lemay, Paul -- O'Leary, Jessica -- Schaefer, Todd -- Verma, Pranshu -- Toth, Ildiko -- Block, Brian -- Baker, Brett -- Rothchild, Alissa -- Lian, Jeffrey -- Proudfoot, Jacqueline -- Alvino, Donna Marie L -- Vine, Seanna -- Addo, Marylyn M -- Allen, Todd M -- Altfeld, Marcus -- Henn, Matthew R -- Le Gall, Sylvie -- Streeck, Hendrik -- Haas, David W -- Kuritzkes, Daniel R -- Robbins, Gregory K -- Shafer, Robert W -- Gulick, Roy M -- Shikuma, Cecilia M -- Haubrich, Richard -- Riddler, Sharon -- Sax, Paul E -- Daar, Eric S -- Ribaudo, Heather J -- Agan, Brian -- Agarwal, Shanu -- Ahern, Richard L -- Allen, Brady L -- Altidor, Sherly -- Altschuler, Eric L -- Ambardar, Sujata -- Anastos, Kathryn -- Anderson, Ben -- Anderson, Val -- Andrady, Ushan -- Antoniskis, Diana -- Bangsberg, David -- Barbaro, Daniel -- Barrie, William -- Bartczak, J -- Barton, Simon -- Basden, Patricia -- Basgoz, Nesli -- Bazner, Suzane -- Bellos, Nicholaos C -- Benson, Anne M -- Berger, Judith -- Bernard, Nicole F -- Bernard, Annette M -- Birch, Christopher -- Bodner, Stanley J -- Bolan, Robert K -- Boudreaux, Emilie T -- Bradley, Meg -- Braun, James F -- Brndjar, Jon E -- Brown, Stephen J -- Brown, Katherine -- Brown, Sheldon T -- Burack, Jedidiah -- Bush, Larry M -- Cafaro, Virginia -- Campbell, Omobolaji -- Campbell, John -- Carlson, Robert H -- Carmichael, J Kevin -- Casey, Kathleen K -- Cavacuiti, Chris -- Celestin, Gregory -- Chambers, Steven T -- Chez, Nancy -- Chirch, Lisa M -- Cimoch, Paul J -- Cohen, Daniel -- Cohn, Lillian E -- Conway, Brian -- Cooper, David A -- Cornelson, Brian -- Cox, David T -- Cristofano, Michael V -- Cuchural, George Jr -- Czartoski, Julie L -- Dahman, Joseph M -- Daly, Jennifer S -- Davis, Benjamin T -- Davis, Kristine -- Davod, Sheila M -- DeJesus, Edwin -- Dietz, Craig A -- Dunham, Eleanor -- Dunn, Michael E -- Ellerin, Todd B -- Eron, Joseph J -- Fangman, John J W -- Farel, Claire E -- Ferlazzo, Helen -- Fidler, Sarah -- Fleenor-Ford, Anita -- Frankel, Renee -- Freedberg, Kenneth A -- French, Neel K -- Fuchs, Jonathan D -- Fuller, Jon D -- Gaberman, Jonna -- Gallant, Joel E -- Gandhi, Rajesh T -- Garcia, Efrain -- Garmon, Donald -- Gathe, Joseph C Jr -- Gaultier, Cyril R -- Gebre, Wondwoosen -- Gilman, Frank D -- Gilson, Ian -- Goepfert, Paul A -- Gottlieb, Michael S -- Goulston, Claudia -- Groger, Richard K -- Gurley, T Douglas -- Haber, Stuart -- Hardwicke, Robin -- Hardy, W David -- Harrigan, P Richard -- Hawkins, Trevor N -- Heath, Sonya -- Hecht, Frederick M -- Henry, W Keith -- Hladek, Melissa -- Hoffman, Robert P -- Horton, James M -- Hsu, Ricky K -- Huhn, Gregory D -- Hunt, Peter -- Hupert, Mark J -- Illeman, Mark L -- Jaeger, Hans -- Jellinger, Robert M -- John, Mina -- Johnson, Jennifer A -- Johnson, Kristin L -- Johnson, Heather -- Johnson, Kay -- Joly, Jennifer -- Jordan, Wilbert C -- Kauffman, Carol A -- Khanlou, Homayoon -- Killian, Robert K -- Kim, Arthur Y -- Kim, David D -- Kinder, Clifford A -- Kirchner, Jeffrey T -- Kogelman, Laura -- Kojic, Erna Milunka -- Korthuis, P Todd -- Kurisu, Wayne -- Kwon, Douglas S -- LaMar, Melissa -- Lampiris, Harry -- Lanzafame, Massimiliano -- Lederman, Michael M -- Lee, David M -- Lee, Jean M L -- Lee, Marah J -- Lee, Edward T Y -- Lemoine, Janice -- Levy, Jay A -- Llibre, Josep M -- Liguori, Michael A -- Little, Susan J -- Liu, Anne Y -- Lopez, Alvaro J -- Loutfy, Mono R -- Loy, Dawn -- Mohammed, Debbie Y -- Man, Alan -- Mansour, Michael K -- Marconi, Vincent C -- Markowitz, Martin -- Marques, Rui -- Martin, Jeffrey N -- Martin, Harold L Jr -- Mayer, Kenneth Hugh -- McElrath, M Juliana -- McGhee, Theresa A -- McGovern, Barbara H -- McGowan, Katherine -- McIntyre, Dawn -- Mcleod, Gavin X -- Menezes, Prema -- Mesa, Greg -- Metroka, Craig E -- Meyer-Olson, Dirk -- Miller, Andy O -- Montgomery, Kate -- Mounzer, Karam C -- Nagami, Ellen H -- Nagin, Iris -- Nahass, Ronald G -- Nelson, Margret O -- Nielsen, Craig -- Norene, David L -- O'Connor, David H -- Ojikutu, Bisola O -- Okulicz, Jason -- Oladehin, Olakunle O -- Oldfield, Edward C 3rd -- Olender, Susan A -- Ostrowski, Mario -- Owen, William F Jr -- Pae, Eunice -- Parsonnet, Jeffrey -- Pavlatos, Andrew M -- Perlmutter, Aaron M -- Pierce, Michael N -- Pincus, Jonathan M -- Pisani, Leandro -- Price, Lawrence Jay -- Proia, Laurie -- Prokesch, Richard C -- Pujet, Heather Calderon -- Ramgopal, Moti -- Rathod, Almas -- Rausch, Michael -- Ravishankar, J -- Rhame, Frank S -- Richards, Constance Shamuyarira -- Richman, Douglas D -- Rodes, Berta -- Rodriguez, Milagros -- Rose, Richard C 3rd -- Rosenberg, Eric S -- Rosenthal, Daniel -- Ross, Polly E -- Rubin, David S -- Rumbaugh, Elease -- Saenz, Luis -- Salvaggio, Michelle R -- Sanchez, William C -- Sanjana, Veeraf M -- Santiago, Steven -- Schmidt, Wolfgang -- Schuitemaker, Hanneke -- Sestak, Philip M -- Shalit, Peter -- Shay, William -- Shirvani, Vivian N -- Silebi, Vanessa I -- Sizemore, James M Jr -- Skolnik, Paul R -- Sokol-Anderson, Marcia -- Sosman, James M -- Stabile, Paul -- Stapleton, Jack T -- Starrett, Sheree -- Stein, Francine -- Stellbrink, Hans-Jurgen -- Sterman, F Lisa -- Stone, Valerie E -- Stone, David R -- Tambussi, Giuseppe -- Taplitz, Randy A -- Tedaldi, Ellen M -- Theisen, William -- Torres, Richard -- Tosiello, Lorraine -- Tremblay, Cecile -- Tribble, Marc A -- Trinh, Phuong D -- Tsao, Alice -- Ueda, Peggy -- Vaccaro, Anthony -- Valadas, Emilia -- Vanig, Thanes J -- Vecino, Isabel -- Vega, Vilma M -- Veikley, Wenoah -- Wade, Barbara H -- Walworth, Charles -- Wanidworanun, Chingchai -- Ward, Douglas J -- Warner, Daniel A -- Weber, Robert D -- Webster, Duncan -- Weis, Steve -- Wheeler, David A -- White, David J -- Wilkins, Ed -- Winston, Alan -- Wlodaver, Clifford G -- van't Wout, Angelique -- Wright, David P -- Yang, Otto O -- Yurdin, David L -- Zabukovic, Brandon W -- Zachary, Kimon C -- Zeeman, Beth -- Zhao, Meng -- AI030914/AI/NIAID NIH HHS/ -- AI068636/AI/NIAID NIH HHS/ -- AI069415/AI/NIAID NIH HHS/ -- AI069419/AI/NIAID NIH HHS/ -- AI069423/AI/NIAID NIH HHS/ -- AI069424/AI/NIAID NIH HHS/ -- AI069428/AI/NIAID NIH HHS/ -- AI069432/AI/NIAID NIH HHS/ -- AI069434/AI/NIAID NIH HHS/ -- AI069450/AI/NIAID NIH HHS/ -- AI069452/AI/NIAID NIH HHS/ -- AI069465/AI/NIAID NIH HHS/ -- AI069471/AI/NIAID NIH HHS/ -- AI069472/AI/NIAID NIH HHS/ -- AI069474/AI/NIAID NIH HHS/ -- AI069477/AI/NIAID NIH HHS/ -- AI069484/AI/NIAID NIH HHS/ -- AI069495/AI/NIAID NIH HHS/ -- AI069501/AI/NIAID NIH HHS/ -- AI069502/AI/NIAID NIH HHS/ -- AI069511/AI/NIAID NIH HHS/ -- AI069513/AI/NIAID NIH HHS/ -- AI069532/AI/NIAID NIH HHS/ -- AI069556/AI/NIAID NIH HHS/ -- AI077505/AI/NIAID NIH HHS/ -- AI087145/AI/NIAID NIH HHS/ -- AI25859/AI/NIAID NIH HHS/ -- AI27661/AI/NIAID NIH HHS/ -- AI28568/AI/NIAID NIH HHS/ -- AI30914/AI/NIAID NIH HHS/ -- AI34835/AI/NIAID NIH HHS/ -- AI34853/AI/NIAID NIH HHS/ -- AI38844/AI/NIAID NIH HHS/ -- AI46370/AI/NIAID NIH HHS/ -- AI68634/AI/NIAID NIH HHS/ -- AI69467/AI/NIAID NIH HHS/ -- AL32782/PHS HHS/ -- HHSN261200800001E/PHS HHS/ -- K23 DA019809/DA/NIDA NIH HHS/ -- K24 AI051966/AI/NIAID NIH HHS/ -- K24 AI064086/AI/NIAID NIH HHS/ -- K24 AI064086-05/AI/NIAID NIH HHS/ -- K24 AI069994/AI/NIAID NIH HHS/ -- K24 AI069994-04/AI/NIAID NIH HHS/ -- K24 AI069994-05/AI/NIAID NIH HHS/ -- K24AI069994/AI/NIAID NIH HHS/ -- KL2 RR024977/RR/NCRR NIH HHS/ -- MH071205/MH/NIMH NIH HHS/ -- MH085520/MH/NIMH NIH HHS/ -- P-30 AI27763/AI/NIAID NIH HHS/ -- P-30-AI060354/AI/NIAID NIH HHS/ -- P30 AI027763/AI/NIAID NIH HHS/ -- P30 AI027763-19/AI/NIAID NIH HHS/ -- P30 AI027763-20/AI/NIAID NIH HHS/ -- P30 AI050410/AI/NIAID NIH HHS/ -- P30 AI060354/AI/NIAID NIH HHS/ -- P30 AI060354-08/AI/NIAID NIH HHS/ -- P30 AI060354-09/AI/NIAID NIH HHS/ -- R01 AI028568/AI/NIAID NIH HHS/ -- R01 AI028568-18/AI/NIAID NIH HHS/ -- R01 AI028568-19/AI/NIAID NIH HHS/ -- R01 AI028568-20/AI/NIAID NIH HHS/ -- R01 AI030914/AI/NIAID NIH HHS/ -- R01 AI030914-16/AI/NIAID NIH HHS/ -- R01 AI030914-17/AI/NIAID NIH HHS/ -- R01 AI077505/AI/NIAID NIH HHS/ -- R01 AI077505-04/AI/NIAID NIH HHS/ -- R01 AI077505-05/AI/NIAID NIH HHS/ -- R01 AI087145/AI/NIAID NIH HHS/ -- R01 AI087145-01/AI/NIAID NIH HHS/ -- R01 AI087145-02/AI/NIAID NIH HHS/ -- R01 MH054907/MH/NIMH NIH HHS/ -- R01 MH071205/MH/NIMH NIH HHS/ -- R01 MH071205-04/MH/NIMH NIH HHS/ -- R01 MH071205-05/MH/NIMH NIH HHS/ -- R24 AI067039/AI/NIAID NIH HHS/ -- R24 AI067039-06/AI/NIAID NIH HHS/ -- R24 AI067039-07/AI/NIAID NIH HHS/ -- R37 AI028568/AI/NIAID NIH HHS/ -- R37 AI028568-15/AI/NIAID NIH HHS/ -- RR024975/RR/NCRR NIH HHS/ -- T32 AI007061/AI/NIAID NIH HHS/ -- TL1 RR024978/RR/NCRR NIH HHS/ -- U01 AI027661-18/AI/NIAID NIH HHS/ -- U01 AI027661-19/AI/NIAID NIH HHS/ -- U01 AI032782-13/AI/NIAID NIH HHS/ -- U01 AI034835-07/AI/NIAID NIH HHS/ -- U01 AI034835-07S3/AI/NIAID NIH HHS/ -- U01 AI034853/AI/NIAID NIH HHS/ -- U01 AI034853-11/AI/NIAID NIH HHS/ -- U01 AI034853-12/AI/NIAID NIH HHS/ -- U01 AI038844-04/AI/NIAID NIH HHS/ -- U01 AI038844-04S1/AI/NIAID NIH HHS/ -- U01 AI038844-04S2/AI/NIAID NIH HHS/ -- U01 AI038844-04S3/AI/NIAID NIH HHS/ -- U01 AI046370-04/AI/NIAID NIH HHS/ -- U01 AI046370-05/AI/NIAID NIH HHS/ -- U01 AI069419/AI/NIAID NIH HHS/ -- U01 AI069419-05/AI/NIAID NIH HHS/ -- U01 AI069419-06/AI/NIAID NIH HHS/ -- U01 AI069423/AI/NIAID NIH HHS/ -- U01 AI069423-05/AI/NIAID NIH HHS/ -- U01 AI069423-06/AI/NIAID NIH HHS/ -- U01 AI069424/AI/NIAID NIH HHS/ -- U01 AI069424-05/AI/NIAID NIH HHS/ -- U01 AI069424-06/AI/NIAID NIH HHS/ -- U01 AI069428/AI/NIAID NIH HHS/ -- U01 AI069428-05/AI/NIAID NIH HHS/ -- U01 AI069428-06/AI/NIAID NIH HHS/ -- U01 AI069432/AI/NIAID NIH HHS/ -- U01 AI069432-05/AI/NIAID NIH HHS/ -- U01 AI069432-06/AI/NIAID NIH HHS/ -- U01 AI069434/AI/NIAID NIH HHS/ -- U01 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HHS/ -- U01 AI069484-06/AI/NIAID NIH HHS/ -- U01 AI069495/AI/NIAID NIH HHS/ -- U01 AI069495-05/AI/NIAID NIH HHS/ -- U01 AI069495-06/AI/NIAID NIH HHS/ -- U01 AI069501/AI/NIAID NIH HHS/ -- U01 AI069501-05/AI/NIAID NIH HHS/ -- U01 AI069501-06/AI/NIAID NIH HHS/ -- U01 AI069502/AI/NIAID NIH HHS/ -- U01 AI069502-05/AI/NIAID NIH HHS/ -- U01 AI069502-06/AI/NIAID NIH HHS/ -- U01 AI069511/AI/NIAID NIH HHS/ -- U01 AI069511-05/AI/NIAID NIH HHS/ -- U01 AI069511-06/AI/NIAID NIH HHS/ -- U01 AI069513-05/AI/NIAID NIH HHS/ -- U01 AI069513-06/AI/NIAID NIH HHS/ -- U01 AI069532/AI/NIAID NIH HHS/ -- U01 AI069532-05/AI/NIAID NIH HHS/ -- U01 AI069532-06/AI/NIAID NIH HHS/ -- U01 AI069556-05/AI/NIAID NIH HHS/ -- U01 AI069556-06/AI/NIAID NIH HHS/ -- U01 MH085520/MH/NIMH NIH HHS/ -- U01 MH085520-01/MH/NIMH NIH HHS/ -- UL1 RR024131/RR/NCRR NIH HHS/ -- UL1 RR024131-06/RR/NCRR NIH HHS/ -- UL1 RR024131-07/RR/NCRR NIH HHS/ -- UL1 RR024975/RR/NCRR NIH HHS/ -- UL1 RR024975-04/RR/NCRR NIH HHS/ -- UL1 RR024975-05/RR/NCRR NIH HHS/ -- UM1 AI068634/AI/NIAID NIH HHS/ -- UM1 AI068634-06/AI/NIAID NIH HHS/ -- UM1 AI068634-07/AI/NIAID NIH HHS/ -- UM1 AI068636-06/AI/NIAID NIH HHS/ -- UM1 AI068636-07/AI/NIAID NIH HHS/ -- UM1 AI069477/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2010 Dec 10;330(6010):1551-7. doi: 10.1126/science.1195271. Epub 2010 Nov 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology (MIT) and Harvard, Boston, MA, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21051598" target="_blank"〉PubMed〈/a〉
    Keywords: African Americans/genetics ; Alleles ; Amino Acids/physiology ; *Antigen Presentation ; CD8-Positive T-Lymphocytes/immunology ; Cohort Studies ; Disease Progression ; European Continental Ancestry Group/genetics ; *Genes, MHC Class I ; Genome-Wide Association Study ; HIV Antigens/immunology ; HIV Infections/ethnology/*genetics/*immunology/virology ; HIV Long-Term Survivors ; *HIV-1/immunology ; HLA-A Antigens/chemistry/genetics/immunology/metabolism ; HLA-B Antigens/chemistry/*genetics/immunology/metabolism ; HLA-C Antigens/chemistry/genetics/immunology/metabolism ; Haplotypes ; Hispanic Americans/genetics ; Humans ; Immunity, Innate ; Logistic Models ; Models, Molecular ; Polymorphism, Single Nucleotide ; Protein Conformation ; Viral Load
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 1985-03-29
    Description: Concentrations of plasma homovanillic acid before treatment were highly correlated with global severity of illness in schizophrenic patients, both before and after treatment. In contrast, a fixed dose of haloperidol did not affect those concentrations. Thus, in patients with a diagnosis of schizophrenia, plasma homovanillic acid may reflect the severity of illness, but not be influenced by short-term pharmacological perturbations by neuroleptics.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Davis, K L -- Davidson, M -- Mohs, R C -- Kendler, K S -- Davis, B M -- Johns, C A -- DeNigris, Y -- Horvath, T B -- MH37922/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 1985 Mar 29;227(4694):1601-2.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/3975630" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Haloperidol/pharmacology ; Homovanillic Acid/*blood ; Humans ; Male ; Phenylacetates/*blood ; Schizophrenia/*blood
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
  • 6
    Publication Date: 1937-11-12
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 1985-03-29
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Discrete & computational geometry 20 (1998), S. 61-78 
    ISSN: 1432-0444
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract. We show that the region lit by a point light source inside a simple n -gon after at most k reflections off the boundary has combinatorial complexity O(n 2k ) , for any k≥ 1 . A lower bound of Ω ((n/k-Θ(1)) 2k ) is also established which matches the upper bound for any fixed k . A simple near-optimal algorithm for computing the illuminated region is presented, which runs in O(n 2k log n) time and O(n 2k ) space for k〉1 , and in O(n 2 log 2 n) time and O(n 2 ) space for k=1 .
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Discrete & computational geometry 19 (1998), S. 553-574 
    ISSN: 1432-0444
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract. We extend the concept of the polygon visible from a source point S in a simple polygon by considering visibility with two types of reflection, specular and diffuse. In specular reflection a light ray reflects from an edge of the polygon according to the rule: the angle of incidence equals the angle of reflection. In diffuse reflection a light ray reflects from an edge of the polygon in all inward directions. Several geometric and combinatorial properties of visibility polygons under these two types of reflection are described, when at most one reflection is permitted. We show that the visibility polygon Vs(S) under specular reflection may be nonsimple, while the visibility polygon Vd(S) under diffuse reflection is always simple. We present a Θ(n 2 ) worst-case bound on the combinatorial complexity of both Vs(S) and Vd(S) and describe simple O(n 2 log 2 n) time algorithms for constructing the sets.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Machine vision and applications 12 (2000), S. 69-83 
    ISSN: 1432-1769
    Keywords: Key words: Real-time computer vision – Vehicle detection and tracking – Object recognition under ego-motion – Intelligent vehicles
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract. A real-time vision system has been developed that analyzes color videos taken from a forward-looking video camera in a car driving on a highway. The system uses a combination of color, edge, and motion information to recognize and track the road boundaries, lane markings and other vehicles on the road. Cars are recognized by matching templates that are cropped from the input data online and by detecting highway scene features and evaluating how they relate to each other. Cars are also detected by temporal differencing and by tracking motion parameters that are typical for cars. The system recognizes and tracks road boundaries and lane markings using a recursive least-squares filter. Experimental results demonstrate robust, real-time car detection and tracking over thousands of image frames. The data includes video taken under difficult visibility conditions.
    Type of Medium: Electronic Resource
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