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Information-gap decision theory fills a gap in ecological applications.

Ecological applications : a publication of the Ecological Society of America

Burgman MA, Regan HM.
PMID: 24640547
Ecol Appl. 2014 Jan;24(1):227-8. doi: 10.1890/12-1784.1.

No abstract available.

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Burgman MA, Regan HM. Information-gap decision theory fills a gap in ecological applications. Ecol Appl. 2014;24(1):227-8doi: 10.1890/12-1784.1.
Burgman, M. A., & Regan, H. M. (2014). Information-gap decision theory fills a gap in ecological applications. Ecological applications : a publication of the Ecological Society of America, 24(1), 227-8. https://doi.org/10.1890/12-1784.1
Burgman, Mark A, and Regan, Helen M. "Information-gap decision theory fills a gap in ecological applications." Ecological applications : a publication of the Ecological Society of America vol. 24,1 (2014): 227-8. doi: https://doi.org/10.1890/12-1784.1
Burgman MA, Regan HM. Information-gap decision theory fills a gap in ecological applications. Ecol Appl. 2014 Jan;24(1):227-8. doi: 10.1890/12-1784.1. PMID: 24640547.
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Lifecourse epidemiology and molecular pathological epidemiology.

American journal of preventive medicine

Nishi A, Kawachi I, Koenen KC, Wu K, Nishihara R, Ogino S.
PMID: 25528613
Am J Prev Med. 2015 Jan;48(1):116-9. doi: 10.1016/j.amepre.2014.09.031.

No abstract available.

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Nishi A, Kawachi I, Koenen KC, et al. Lifecourse epidemiology and molecular pathological epidemiology. Am J Prev Med. 2015;48(1):116-9doi: 10.1016/j.amepre.2014.09.031.
Nishi, A., Kawachi, I., Koenen, K. C., Wu, K., Nishihara, R., & Ogino, S. (2015). Lifecourse epidemiology and molecular pathological epidemiology. American journal of preventive medicine, 48(1), 116-9. https://doi.org/10.1016/j.amepre.2014.09.031
Nishi, Akihiro, et al. "Lifecourse epidemiology and molecular pathological epidemiology." American journal of preventive medicine vol. 48,1 (2015): 116-9. doi: https://doi.org/10.1016/j.amepre.2014.09.031
Nishi A, Kawachi I, Koenen KC, Wu K, Nishihara R, Ogino S. Lifecourse epidemiology and molecular pathological epidemiology. Am J Prev Med. 2015 Jan;48(1):116-9. doi: 10.1016/j.amepre.2014.09.031. PMID: 25528613; PMCID: PMC4274745.
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Can mechanistic explanation be reconciled with scale-free constitution and dynamics?.

Studies in history and philosophy of biological and biomedical sciences

Bechtel W.
PMID: 25977254
Stud Hist Philos Biol Biomed Sci. 2015 Oct;53:84-93. doi: 10.1016/j.shpsc.2015.03.006. Epub 2015 May 11.

This paper considers two objections to explanations that appeal to mechanisms to explain biological phenomena. Marom argues that the time-scale on which many phenomena occur is scale-free. There is also reason to suspect that the network of interacting entities...

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Bechtel W. Can mechanistic explanation be reconciled with scale-free constitution and dynamics?. Stud Hist Philos Biol Biomed Sci. 2015;53:84-93doi: 10.1016/j.shpsc.2015.03.006.
Bechtel, W. (2015). Can mechanistic explanation be reconciled with scale-free constitution and dynamics?. Studies in history and philosophy of biological and biomedical sciences, 5384-93. https://doi.org/10.1016/j.shpsc.2015.03.006
Bechtel, William. "Can mechanistic explanation be reconciled with scale-free constitution and dynamics?." Studies in history and philosophy of biological and biomedical sciences vol. 53 (2015): 84-93. doi: https://doi.org/10.1016/j.shpsc.2015.03.006
Bechtel W. Can mechanistic explanation be reconciled with scale-free constitution and dynamics?. Stud Hist Philos Biol Biomed Sci. 2015 Oct;53:84-93. doi: 10.1016/j.shpsc.2015.03.006. Epub 2015 May 11. PMID: 25977254.
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Mathematical modeling of tuberculosis data of China.

Journal of theoretical biology

Zhang J, Li Y, Zhang X.
PMID: 25451959
J Theor Biol. 2015 Jan 21;365:159-63. doi: 10.1016/j.jtbi.2014.10.019. Epub 2014 Oct 24.

This paper concentrates on the tuberculosis data of China from January 2005 to December 2012. We set up a mathematical model to fit those data with the goodness of fit and obtain the optimal parameter values of the model....

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Zhang J, Li Y, Zhang X. Mathematical modeling of tuberculosis data of China. J Theor Biol. 2014;365:159-63doi: 10.1016/j.jtbi.2014.10.019.
Zhang, J., Li, Y., & Zhang, X. (2015). Mathematical modeling of tuberculosis data of China. Journal of theoretical biology, 365159-63. https://doi.org/10.1016/j.jtbi.2014.10.019
Zhang, Jinhui, et al. "Mathematical modeling of tuberculosis data of China." Journal of theoretical biology vol. 365 (2015): 159-63. doi: https://doi.org/10.1016/j.jtbi.2014.10.019
Zhang J, Li Y, Zhang X. Mathematical modeling of tuberculosis data of China. J Theor Biol. 2015 Jan 21;365:159-63. doi: 10.1016/j.jtbi.2014.10.019. Epub 2014 Oct 24. PMID: 25451959.
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On the effects of scale for ecosystem services mapping.

PloS one

Grêt-Regamey A, Weibel B, Bagstad KJ, Ferrari M, Geneletti D, Klug H, Schirpke U, Tappeiner U.
PMID: 25549256
PLoS One. 2014 Dec 30;9(12):e112601. doi: 10.1371/journal.pone.0112601. eCollection 2014.

Ecosystems provide life-sustaining services upon which human civilization depends, but their degradation largely continues unabated. Spatially explicit information on ecosystem services (ES) provision is required to better guide decision making, particularly for mountain systems, which are characterized by vertical...

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Grêt-Regamey A, Weibel B, Bagstad KJ, et al. On the effects of scale for ecosystem services mapping. PLoS One. 2014;9(12):e112601doi: 10.1371/journal.pone.0112601.
Grêt-Regamey, A., Weibel, B., Bagstad, K. J., Ferrari, M., Geneletti, D., Klug, H., Schirpke, U., & Tappeiner, U. (2014). On the effects of scale for ecosystem services mapping. PloS one, 9(12), e112601. https://doi.org/10.1371/journal.pone.0112601
Grêt-Regamey, Adrienne, et al. "On the effects of scale for ecosystem services mapping." PloS one vol. 9,12 (2014): e112601. doi: https://doi.org/10.1371/journal.pone.0112601
Grêt-Regamey A, Weibel B, Bagstad KJ, Ferrari M, Geneletti D, Klug H, Schirpke U, Tappeiner U. On the effects of scale for ecosystem services mapping. PLoS One. 2014 Dec 30;9(12):e112601. doi: 10.1371/journal.pone.0112601. eCollection 2014. PMID: 25549256; PMCID: PMC4280228.
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Predicting invasions of Wedelia trilobata (L.) Hitchc. with Maxent and GARP models.

Journal of plant research

Qin Z, Zhang JE, DiTommaso A, Wang RL, Wu RS.
PMID: 26045231
J Plant Res. 2015 Sep;128(5):763-75. doi: 10.1007/s10265-015-0738-3. Epub 2015 Jun 05.

Wedelia trilobata (L.) Hitchc., an ornamental groundcover plant introduced to areas around the world from Central America, has become invasive in many regions. To increase understanding of its geographic distribution and potential extent of spread, two presence-only niche-based modeling...

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Qin Z, Zhang JE, DiTommaso A, et al. Predicting invasions of Wedelia trilobata (L.) Hitchc. with Maxent and GARP models. J Plant Res. 2015;128(5):763-75doi: 10.1007/s10265-015-0738-3.
Qin, Z., Zhang, J. E., DiTommaso, A., Wang, R. L., & Wu, R. S. (2015). Predicting invasions of Wedelia trilobata (L.) Hitchc. with Maxent and GARP models. Journal of plant research, 128(5), 763-75. https://doi.org/10.1007/s10265-015-0738-3
Qin, Zhong, et al. "Predicting invasions of Wedelia trilobata (L.) Hitchc. with Maxent and GARP models." Journal of plant research vol. 128,5 (2015): 763-75. doi: https://doi.org/10.1007/s10265-015-0738-3
Qin Z, Zhang JE, DiTommaso A, Wang RL, Wu RS. Predicting invasions of Wedelia trilobata (L.) Hitchc. with Maxent and GARP models. J Plant Res. 2015 Sep;128(5):763-75. doi: 10.1007/s10265-015-0738-3. Epub 2015 Jun 05. PMID: 26045231.
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Socio-Demographic Predictors and Distribution of Pulmonary Tuberculosis (TB) in Xinjiang, China: A Spatial Analysis.

PloS one

Wubuli A, Xue F, Jiang D, Yao X, Upur H, Wushouer Q.
PMID: 26641642
PLoS One. 2015 Dec 07;10(12):e0144010. doi: 10.1371/journal.pone.0144010. eCollection 2015.

OBJECTIVES: Xinjiang is one of the high TB burden provinces of China. A spatial analysis was conducted using geographical information system (GIS) technology to improve the understanding of geographic variation of the pulmonary TB occurrence in Xinjiang, its predictors,...

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Wubuli A, Xue F, Jiang D, et al. Socio-Demographic Predictors and Distribution of Pulmonary Tuberculosis (TB) in Xinjiang, China: A Spatial Analysis. PLoS One. 2015;10(12):e0144010doi: 10.1371/journal.pone.0144010.
Wubuli, A., Xue, F., Jiang, D., Yao, X., Upur, H., & Wushouer, Q. (2015). Socio-Demographic Predictors and Distribution of Pulmonary Tuberculosis (TB) in Xinjiang, China: A Spatial Analysis. PloS one, 10(12), e0144010. https://doi.org/10.1371/journal.pone.0144010
Wubuli, Atikaimu, et al. "Socio-Demographic Predictors and Distribution of Pulmonary Tuberculosis (TB) in Xinjiang, China: A Spatial Analysis." PloS one vol. 10,12 (2015): e0144010. doi: https://doi.org/10.1371/journal.pone.0144010
Wubuli A, Xue F, Jiang D, Yao X, Upur H, Wushouer Q. Socio-Demographic Predictors and Distribution of Pulmonary Tuberculosis (TB) in Xinjiang, China: A Spatial Analysis. PLoS One. 2015 Dec 07;10(12):e0144010. doi: 10.1371/journal.pone.0144010. eCollection 2015. PMID: 26641642; PMCID: PMC4671667.
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Integrative analysis of human omics data using biomolecular networks.

Molecular bioSystems

Robinson JL, Nielsen J.
PMID: 27510223
Mol Biosyst. 2016 Oct 20;12(10):2953-64. doi: 10.1039/c6mb00476h. Epub 2016 Aug 11.

High-throughput '-omics' technologies have given rise to an increasing abundance of genome-scale data detailing human biology at the molecular level. Although these datasets have already made substantial contributions to a more comprehensive understanding of human physiology and diseases, their...

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Robinson JL, Nielsen J. Integrative analysis of human omics data using biomolecular networks. Mol Biosyst. 2016;12(10):2953-64doi: 10.1039/c6mb00476h.
Robinson, J. L., & Nielsen, J. (2016). Integrative analysis of human omics data using biomolecular networks. Molecular bioSystems, 12(10), 2953-64. https://doi.org/10.1039/c6mb00476h
Robinson, Jonathan L, and Nielsen, Jens. "Integrative analysis of human omics data using biomolecular networks." Molecular bioSystems vol. 12,10 (2016): 2953-64. doi: https://doi.org/10.1039/c6mb00476h
Robinson JL, Nielsen J. Integrative analysis of human omics data using biomolecular networks. Mol Biosyst. 2016 Oct 20;12(10):2953-64. doi: 10.1039/c6mb00476h. Epub 2016 Aug 11. PMID: 27510223.
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Improving the Acquisition of Basic Technical Surgical Skills with VR-Based Simulation Coupled with Computer-Based Video Instruction.

Studies in health technology and informatics

Rojas D, Kapralos B, Dubrowski A.
PMID: 27046599
Stud Health Technol Inform. 2016;220:323-8.

Next to practice, feedback is the most important variable in skill acquisition. Feedback can vary in content and the way that it is used for delivery. Health professions education research has extensively examined the different effects provided by the...

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Rojas D, Kapralos B, Dubrowski A. Improving the Acquisition of Basic Technical Surgical Skills with VR-Based Simulation Coupled with Computer-Based Video Instruction. Stud Health Technol Inform. 2016;220:323-8
Rojas, D., Kapralos, B., & Dubrowski, A. (2016). Improving the Acquisition of Basic Technical Surgical Skills with VR-Based Simulation Coupled with Computer-Based Video Instruction. Studies in health technology and informatics, 220323-8.
Rojas, David, et al. "Improving the Acquisition of Basic Technical Surgical Skills with VR-Based Simulation Coupled with Computer-Based Video Instruction." Studies in health technology and informatics vol. 220 (2016): 323-8.
Rojas D, Kapralos B, Dubrowski A. Improving the Acquisition of Basic Technical Surgical Skills with VR-Based Simulation Coupled with Computer-Based Video Instruction. Stud Health Technol Inform. 2016;220:323-8. PMID: 27046599.
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Allowing variance may enlarge the safe operating space for exploited ecosystems.

Proceedings of the National Academy of Sciences of the United States of America

Carpenter SR, Brock WA, Folke C, van Nes EH, Scheffer M.
PMID: 26438857
Proc Natl Acad Sci U S A. 2015 Nov 17;112(46):14384-9. doi: 10.1073/pnas.1511804112. Epub 2015 Oct 05.

Variable flows of food, water, or other ecosystem services complicate planning. Management strategies that decrease variability and increase predictability may therefore be preferred. However, actions to decrease variance over short timescales (2-4 y), when applied continuously, may lead to...

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Carpenter SR, Brock WA, Folke C, et al. Allowing variance may enlarge the safe operating space for exploited ecosystems. Proc Natl Acad Sci U S A. 2015;112(46):14384-9doi: 10.1073/pnas.1511804112.
Carpenter, S. R., Brock, W. A., Folke, C., van Nes, E. H., & Scheffer, M. (2015). Allowing variance may enlarge the safe operating space for exploited ecosystems. Proceedings of the National Academy of Sciences of the United States of America, 112(46), 14384-9. https://doi.org/10.1073/pnas.1511804112
Carpenter, Stephen R, et al. "Allowing variance may enlarge the safe operating space for exploited ecosystems." Proceedings of the National Academy of Sciences of the United States of America vol. 112,46 (2015): 14384-9. doi: https://doi.org/10.1073/pnas.1511804112
Carpenter SR, Brock WA, Folke C, van Nes EH, Scheffer M. Allowing variance may enlarge the safe operating space for exploited ecosystems. Proc Natl Acad Sci U S A. 2015 Nov 17;112(46):14384-9. doi: 10.1073/pnas.1511804112. Epub 2015 Oct 05. PMID: 26438857; PMCID: PMC4655523.
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Towards surgeon-authored VR training: the scene-development cycle.

Studies in health technology and informatics

Dindar S, Nguyen T, Peters J.
PMID: 27046561
Stud Health Technol Inform. 2016;220:103-9.

Enabling surgeon-educators to themselves create virtual reality (VR) training units promises greater variety, specialization, and relevance of the units. This paper describes a software bridge that semi-automates the scene-generation cycle, a key bottleneck in authoring, modeling, and developing VR...

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Dindar S, Nguyen T, Peters J. Towards surgeon-authored VR training: the scene-development cycle. Stud Health Technol Inform. 2016;220:103-9
Dindar, S., Nguyen, T., & Peters, J. (2016). Towards surgeon-authored VR training: the scene-development cycle. Studies in health technology and informatics, 220103-9.
Dindar, Saleh, et al. "Towards surgeon-authored VR training: the scene-development cycle." Studies in health technology and informatics vol. 220 (2016): 103-9.
Dindar S, Nguyen T, Peters J. Towards surgeon-authored VR training: the scene-development cycle. Stud Health Technol Inform. 2016;220:103-9. PMID: 27046561.
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Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics.

PLoS computational biology

Fumanelli L, Ajelli M, Merler S, Ferguson NM, Cauchemez S.
PMID: 26796333
PLoS Comput Biol. 2016 Jan 21;12(1):e1004681. doi: 10.1371/journal.pcbi.1004681. eCollection 2016 Jan.

School closure policies are among the non-pharmaceutical measures taken into consideration to mitigate influenza epidemics and pandemics spread. However, a systematic review of the effectiveness of alternative closure policies has yet to emerge. Here we perform a model-based analysis...

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Fumanelli L, Ajelli M, Merler S, et al. Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics. PLoS Comput Biol. 2016;12(1):e1004681doi: 10.1371/journal.pcbi.1004681.
Fumanelli, L., Ajelli, M., Merler, S., Ferguson, N. M., & Cauchemez, S. (2016). Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics. PLoS computational biology, 12(1), e1004681. https://doi.org/10.1371/journal.pcbi.1004681
Fumanelli, Laura, et al. "Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics." PLoS computational biology vol. 12,1 (2016): e1004681. doi: https://doi.org/10.1371/journal.pcbi.1004681
Fumanelli L, Ajelli M, Merler S, Ferguson NM, Cauchemez S. Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics. PLoS Comput Biol. 2016 Jan 21;12(1):e1004681. doi: 10.1371/journal.pcbi.1004681. eCollection 2016 Jan. PMID: 26796333; PMCID: PMC4721867.
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Showing 37 to 48 of 1077 entries