174 research outputs found

    Author Index- Social and Technical Issues in Testing: Implications for Test Construction and Usage

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    Author Index pp. 173-178 A-Z (6 pages) Numbers in italics indicate pages with complete bibliographic information. A Acker, S. R., 65 , 86 Ackoff, R. L. , 21, 35 Adair, F. L., 122, 125 Adkins, D. c. , 148 , 153 Aisner, D. J ., 32, 35 Alderman, D. L. , 148 , 153 Anastas i, A., 9 1, 99, 107, 129 , 130, 132, 134, 139, 164 , 168 , 169 Anderson, G. E. , Jr. , 2 1, 35 Anderson , 1. R. , 46 , 57 Anderson, R. C. , 142, 153, 157, 169 Arnoff, S. L., 2 1, 35 Ausubel, D. P., 165, 169 ... Z Zedeck, S., 72, 86Ziskin , J. , 96, 10

    Author Index- Social and Technical Issues in Testing: Implications for Test Construction and Usage

    No full text
    Author Index pp. 173-178 A-Z (6 pages) Numbers in italics indicate pages with complete bibliographic information. A Acker, S. R., 65 , 86 Ackoff, R. L. , 21, 35 Adair, F. L., 122, 125 Adkins, D. c. , 148 , 153 Aisner, D. J ., 32, 35 Alderman, D. L. , 148 , 153 Anastas i, A., 9 1, 99, 107, 129 , 130, 132, 134, 139, 164 , 168 , 169 Anderson, G. E. , Jr. , 2 1, 35 Anderson , 1. R. , 46 , 57 Anderson, R. C. , 142, 153, 157, 169 Arnoff, S. L., 2 1, 35 Ausubel, D. P., 165, 169 ... Z Zedeck, S., 72, 86Ziskin , J. , 96, 10

    Bibliographie

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    Aceves-Pina Ε.Ο., R. Booker, J.S. Duerr, M.S. Livingstone, W.G. Quinn, R.F. Smith, P. P. Sziber, B.L. Tempel et T.P. Tully. 1983. « Learning and Memory in Drosophila, Studied with Mutants. Cold Spring Harbor Symposium ». Quantitative Biology, 48 :831-840. Agin V., R. Chichery et M.-P. Chichery. 2001 : « Effects of Learning on Cytochrome Oxidase Activity in Cutdefish Brain ». NeuroReport, 12 : 113-116. Aisner R., Terkel J. 1992. « Ontogeny of Pine Cone Opening Behaviour in the Black Rat, (Ratt..

    Learning in multi-agent systems

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    In recent years, multi-agent systems (MASs) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous, rational and flexible behaviour of entities such as software programs or robots, and their interaction and coordination in such diverse areas as robotics (Kitano et al., 1997), information retrieval and management (Klusch, 1999), and simulation (Gilbert & Conte, 1995). When designing agent systems, it is impossible to foresee all the potential situations an agent may encounter and specify an agent behaviour optimally in advance. Agents therefore have to learn from, and adapt to, their environment, especially in a multi-agent setting

    Pregnancy outcome in patients treated for Hodgkin's disease.

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    PURPOSE This study attempted to determine the outcome of pregnancies in patients (or their partners) who were successfully treated for Hodgkin's disease and to assess the effect of treatment on the children of the treated parents. MATERIALS AND METHODS A questionnaire was distributed to and personal interviews were conducted with patients who were of reproductive age at the time of treatment with consecutive protocols of radiotherapy, chemotherapy, or both. Those premenopausal patients (or the sexual partners of patients) who attempted to conceive after successful treatment constituted the study population. Fertility assessment was based only on those patients identified as desiring children. RESULTS Among 391 adult patients, 221 patients (104 females and 117 males) of reproductive age were interviewed. Before treatment, 63 of the 221 patients had 135 pregnancies, which resulted in 118 children, 11 spontaneous abortions, five elective abortions, and one stillborn. After treatment, 94 patients (43 females and 51 males) actively attempted conception; 35 females and 25 partners of male patients had 84 pregnancies, which resulted in 68 living children. Among the 84 pregnancies, there were one premature birth at 29 weeks, three spontaneous abortions, 11 elective abortions, and two stillborn: one at 32 weeks and one set of twins. The children have been observed for a median of 11 years (minimum follow up &gt; 4.5 years). Of those patients who desired children, 35 of 43 females became pregnant, whereas only 25 of the 51 partners of male patients became pregnant. At least five male patients with low sperm counts apparently fathered children. CONCLUSIONS This study demonstrates that both men and women have the potential for fertility after treatment regardless of treatment modality. The partners of male patients who were treated with combined modality treatment had a lower frequency of pregnancy than did the female patients who attempted conception and their frequency of pregnancy was also lower than the general population. There was no apparent increase in complications of pregnancy, spontaneous abortions, or congenital abnormalities after treatment compared with pregnancies in this patient group before treatment or with pregnancies in the general population. </jats:sec

    Abstract 3261: Gene methylation biomarkers in sputum as a classifier for lung cancer risk

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    Abstract Lung cancer is the leading cause of cancer death primarily because it is often diagnosed at an advanced stage. Results from the National Lung Screening Trial (NLST) showed that CT screening can reduce lung cancer mortality by 20%, but the high number of false positives and need for additional testing suggest that better risk classification of smokers prior to screening could save more lives with less cost and improved efficiency. Furthermore, eligibility criteria for NLST were restricted to smokers ages of 55-74 with &amp;gt;30 pack-years of smoking and &amp;lt; 15y since smoking cessation, which captures only ~40% of incident lung cancer cases. Molecular biomarkers could augment current risk stratification used to select smokers for screening. We have shown that gene specific promoter hypermethylation detected in sputum provides an assessment of field cancerization within the lungs of smokers that in turn predicts lung cancer. The current study addressed whether our validated 8-gene methylation panel could be extended to improve the existing risk prediction model used to recommend people for a CT screen by evaluating methylation in 487 resected Stage I lung cancer patients from the ECOG-ACRIN5597 trial (field of injury remains), 1378 current and former smokers from the Lovelace Smokers cohort (LSC) and 718 current and former smokers from the PLuSS cohort. Our initial analysis was restricted to individuals from each cohort who met NLST criteria for CT screening (n=371 ECOG-ACRIN, n=466 LSC and n=597 PLuSS). The methylation prevalence of all 8 genes was significantly increased in resected lung cancer patients compared to cancer-free smokers (odds ratios 1.6 to 8.9). The area under the receiver operator characteristic curve (AUC) was used to evaluate classification accuracy of different logistic regression models. Classification accuracy for clinical risk factors alone was 74-76%, methylation alone, 82-86%; and clinical risk factors plus methylation, 87-90% (p&amp;lt;10-9 - 10-16). Setting the sensitivity at 95% improved specificity from 25% to 54% with both methylation and clinical factors in the model. Assessment of the performance of the gene methylation panel in all of the cancer patients and smokers did not reduce classification accuracy or increase specificity. Implementation of gene methylation biomarkers for screening could be a paradigm shift for lung cancer management by providing a much improved risk assessment model that will allow for expanding the number of smokers considered for screening, decreasing by one-third the actual number referred, and reducing mortality through increasing the CT positive predictive value. (Supported largely by R01 CA095568 and in part P30 CA118100) Citation Format: Maria A. Picchi, Shuguang Leng, Guodong Wu, Donna M. Klinge, Cynthia L. Thomas, Elia Casas, Christine A. Stidley, Sandra J. Lee, Seena Aisner, Jill M. Siegfried, Suresh Ramalingam, Fadlo R. Khuri, Daniel D. Karp, Steven A. Belinsky. Gene methylation biomarkers in sputum as a classifier for lung cancer risk [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3261. doi:10.1158/1538-7445.AM2017-3261</jats:p
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