2002-03-07
Michalewicz, Eds., Evolutionary Computation 1: Basic Algorithms and Operators, Institute of Physics, Bristol (UK), 2000. [3] David A. Van Veldhuizen ...2000. [4] Carlos A. Coello Coello, David A. Van Veldhuizen , and Gary B. Lamont, Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer...Academic Publishers, 233 Spring St., New York, NY 10013, 2002. [5] David A. Van Veldhuizen , Multiobjective Evolution- ary Algorithms: Classifications
NASA Technical Reports Server (NTRS)
Margulis, L.; Fester, R.
1991-01-01
This conference at the Bellagio Conference Center, Italy, from June 25-30, 1989, provided a unique opportunity for evolutionary theorists and symbiosis biologists to cross the boundaries of their respective disciplines and share ideas. A major task was to address the adequacy of the prevailing neodarwinian concept of evolution with respect to the relative importance of symbiosis in the origin of morphological and evolutionary novelty.
Network-level architecture and the evolutionary potential of underground metabolism.
Notebaart, Richard A; Szappanos, Balázs; Kintses, Bálint; Pál, Ferenc; Györkei, Ádám; Bogos, Balázs; Lázár, Viktória; Spohn, Réka; Csörgő, Bálint; Wagner, Allon; Ruppin, Eytan; Pál, Csaba; Papp, Balázs
2014-08-12
A central unresolved issue in evolutionary biology is how metabolic innovations emerge. Low-level enzymatic side activities are frequent and can potentially be recruited for new biochemical functions. However, the role of such underground reactions in adaptation toward novel environments has remained largely unknown and out of reach of computational predictions, not least because these issues demand analyses at the level of the entire metabolic network. Here, we provide a comprehensive computational model of the underground metabolism in Escherichia coli. Most underground reactions are not isolated and 45% of them can be fully wired into the existing network and form novel pathways that produce key precursors for cell growth. This observation allowed us to conduct an integrated genome-wide in silico and experimental survey to characterize the evolutionary potential of E. coli to adapt to hundreds of nutrient conditions. We revealed that underground reactions allow growth in new environments when their activity is increased. We estimate that at least ∼20% of the underground reactions that can be connected to the existing network confer a fitness advantage under specific environments. Moreover, our results demonstrate that the genetic basis of evolutionary adaptations via underground metabolism is computationally predictable. The approach used here has potential for various application areas from bioengineering to medical genetics.
Evolutionary Theory under Fire.
ERIC Educational Resources Information Center
Lewin, Roger
1980-01-01
Summarizes events of a conference on evolutionary biology in Chicago entitled: "Macroevolution." Reviews the theory of modern synthesis, a term used to explain Darwinism in terms of population biology and genetics. Issues presented at the conference are discussed in detail. (CS)
Hybrid Robust Multi-Objective Evolutionary Optimization Algorithm
2009-03-10
pp. 594-606. 8. Inverse Approaches to Drying of Thin Bodies With Significant Shrinkage Effects (with G. H. Kanevce, L. P. Kanevce, V. B. Mitrevski ...Kanevce, L. Kanevce, V. Mitrevski ), ICCES: International Conference on Computational & Experimental Engineering and Sciences, Honolulu, Hawaii, March 17...Miami Beach, FL, April 16-18, 2007. 16. Inverse Approaches to Drying of Sliced Foods (with Kanevce, G. H., Kanevce, Lj. P., and Mitrevski , V. B
Trade-Offs and Individual Differences in Evolved Traits
ERIC Educational Resources Information Center
Winegard, Benjamin; Bailey, Drew H.; Oxford, Jonathan; Geary, David C.
2010-01-01
Comments on Evolutionary psychology: Controversies, questions, prospects, and limitations by Confer et al. We applaud Confer et al.'s (February-March 2010) clarifications of the many misconceptions surrounding the use of evolutionary analyses in psychology. As they noted, such misunderstandings are common and result in a curious tendency of some…
Biocontainment of genetically modified organisms by synthetic protein design
Mandell, Daniel J.; Lajoie, Marc J.; Mee, Michael T.; Takeuchi, Ryo; Kuznetsov, Gleb; Norville, Julie E.; Gregg, Christopher J.; Stoddard, Barry L.; Church, George M.
2015-01-01
Genetically modified organisms (GMOs) are increasingly deployed at large scales and in open environments. Genetic biocontainment strategies are needed to prevent unintended proliferation of GMOs in natural ecosystems. Existing biocontainment methods are insufficient either because they impose evolutionary pressure on the organism to eject the safeguard, because they can be circumvented by environmentally available compounds, or because they can be overcome by horizontal gene transfer (HGT). Here we computationally redesign essential enzymes in the first organism possessing an altered genetic code to confer metabolic dependence on nonstandard amino acids for survival. The resulting GMOs cannot metabolically circumvent their biocontainment mechanisms using environmentally available compounds, and they exhibit unprecedented resistance to evolutionary escape via mutagenesis and HGT. This work provides a foundation for safer GMOs that are isolated from natural ecosystems by reliance on synthetic metabolites. PMID:25607366
Biocontainment of genetically modified organisms by synthetic protein design.
Mandell, Daniel J; Lajoie, Marc J; Mee, Michael T; Takeuchi, Ryo; Kuznetsov, Gleb; Norville, Julie E; Gregg, Christopher J; Stoddard, Barry L; Church, George M
2015-02-05
Genetically modified organisms (GMOs) are increasingly deployed at large scales and in open environments. Genetic biocontainment strategies are needed to prevent unintended proliferation of GMOs in natural ecosystems. Existing biocontainment methods are insufficient because they impose evolutionary pressure on the organism to eject the safeguard by spontaneous mutagenesis or horizontal gene transfer, or because they can be circumvented by environmentally available compounds. Here we computationally redesign essential enzymes in the first organism possessing an altered genetic code (Escherichia coli strain C321.ΔA) to confer metabolic dependence on non-standard amino acids for survival. The resulting GMOs cannot metabolically bypass their biocontainment mechanisms using known environmental compounds, and they exhibit unprecedented resistance to evolutionary escape through mutagenesis and horizontal gene transfer. This work provides a foundation for safer GMOs that are isolated from natural ecosystems by a reliance on synthetic metabolites.
Biocontainment of genetically modified organisms by synthetic protein design
NASA Astrophysics Data System (ADS)
Mandell, Daniel J.; Lajoie, Marc J.; Mee, Michael T.; Takeuchi, Ryo; Kuznetsov, Gleb; Norville, Julie E.; Gregg, Christopher J.; Stoddard, Barry L.; Church, George M.
2015-02-01
Genetically modified organisms (GMOs) are increasingly deployed at large scales and in open environments. Genetic biocontainment strategies are needed to prevent unintended proliferation of GMOs in natural ecosystems. Existing biocontainment methods are insufficient because they impose evolutionary pressure on the organism to eject the safeguard by spontaneous mutagenesis or horizontal gene transfer, or because they can be circumvented by environmentally available compounds. Here we computationally redesign essential enzymes in the first organism possessing an altered genetic code (Escherichia coli strain C321.ΔA) to confer metabolic dependence on non-standard amino acids for survival. The resulting GMOs cannot metabolically bypass their biocontainment mechanisms using known environmental compounds, and they exhibit unprecedented resistance to evolutionary escape through mutagenesis and horizontal gene transfer. This work provides a foundation for safer GMOs that are isolated from natural ecosystems by a reliance on synthetic metabolites.
Oversimplifying Evolutionary Psychology Leads to Explanatory Gaps
ERIC Educational Resources Information Center
Tate, Chuck; Ledbetter, Jay N.
2010-01-01
Comments on Evolutionary psychology: Controversies, questions, prospects, and limitations by Confer et al. They argued that SST cannot explain the existence of either homosexuality or suicide within the human species. We contend that a sufficiently nuanced evolutionary position has no difficulties explaining either phenomenon. Also in this…
Recombinant transfer in the basic genome of E. coli
Dixit, Purushottam; Studier, F. William; Pang, Tin Yau; ...
2015-07-07
An approximation to the ~4-Mbp basic genome shared by 32 strains of E. coli representing six evolutionary groups has been derived and analyzed computationally. A multiple-alignment of the 32 complete genome sequences was filtered to remove mobile elements and identify the most reliable ~90% of the aligned length of each of the resulting 496 basic-genome pairs. Patterns of single bp mutations (SNPs) in aligned pairs distinguish clonally inherited regions from regions where either genome has acquired DNA fragments from diverged genomes by homologous recombination since their last common ancestor. Such recombinant transfer is pervasive across the basic genome, mostly betweenmore » genomes in the same evolutionary group, and generates many unique mosaic patterns. The six least-diverged genome-pairs have one or two recombinant transfers of length ~40–115 kbp (and few if any other transfers), each containing one or more gene clusters known to confer strong selective advantage in some environments. Moderately diverged genome pairs (0.4–1% SNPs) show mosaic patterns of interspersed clonal and recombinant regions of varying lengths throughout the basic genome, whereas more highly diverged pairs within an evolutionary group or pairs between evolutionary groups having >1.3% SNPs have few clonal matches longer than a few kbp. Many recombinant transfers appear to incorporate fragments of the entering DNA produced by restriction systems of the recipient cell. A simple computational model can closely fit the data. As a result, most recombinant transfers seem likely to be due to generalized transduction by co-evolving populations of phages, which could efficiently distribute variability throughout bacterial genomes.« less
Recombinant transfer in the basic genome of E. coli
DOE Office of Scientific and Technical Information (OSTI.GOV)
Dixit, Purushottam; Studier, F. William; Pang, Tin Yau
An approximation to the ~4-Mbp basic genome shared by 32 strains of E. coli representing six evolutionary groups has been derived and analyzed computationally. A multiple-alignment of the 32 complete genome sequences was filtered to remove mobile elements and identify the most reliable ~90% of the aligned length of each of the resulting 496 basic-genome pairs. Patterns of single bp mutations (SNPs) in aligned pairs distinguish clonally inherited regions from regions where either genome has acquired DNA fragments from diverged genomes by homologous recombination since their last common ancestor. Such recombinant transfer is pervasive across the basic genome, mostly betweenmore » genomes in the same evolutionary group, and generates many unique mosaic patterns. The six least-diverged genome-pairs have one or two recombinant transfers of length ~40–115 kbp (and few if any other transfers), each containing one or more gene clusters known to confer strong selective advantage in some environments. Moderately diverged genome pairs (0.4–1% SNPs) show mosaic patterns of interspersed clonal and recombinant regions of varying lengths throughout the basic genome, whereas more highly diverged pairs within an evolutionary group or pairs between evolutionary groups having >1.3% SNPs have few clonal matches longer than a few kbp. Many recombinant transfers appear to incorporate fragments of the entering DNA produced by restriction systems of the recipient cell. A simple computational model can closely fit the data. As a result, most recombinant transfers seem likely to be due to generalized transduction by co-evolving populations of phages, which could efficiently distribute variability throughout bacterial genomes.« less
Biocontainment of genetically modified organisms by synthetic protein design
DOE Office of Scientific and Technical Information (OSTI.GOV)
Mandell, Daniel J.; Lajoie, Marc J.; Mee, Michael T.
Genetically modified organisms (GMOs) are increasingly deployed at large scales and in open environments. Genetic biocontainment strategies are needed to prevent unintended proliferation of GMOs in natural ecosystems. Existing biocontainment methods are insufficient because they impose evolutionary pressure on the organism to eject the safeguard by spontaneous mutagenesis or horizontal gene transfer, or because they can be circumvented by environmentally available compounds. In this paper, we computationally redesign essential enzymes in the first organism possessing an altered genetic code (Escherichia coli strain C321.ΔA) to confer metabolic dependence on non-standard amino acids for survival. The resulting GMOs cannot metabolically bypass theirmore » biocontainment mechanisms using known environmental compounds, and they exhibit unprecedented resistance to evolutionary escape through mutagenesis and horizontal gene transfer. Finally, this work provides a foundation for safer GMOs that are isolated from natural ecosystems by a reliance on synthetic metabolites.« less
Biocontainment of genetically modified organisms by synthetic protein design
Mandell, Daniel J.; Lajoie, Marc J.; Mee, Michael T.; ...
2015-01-21
Genetically modified organisms (GMOs) are increasingly deployed at large scales and in open environments. Genetic biocontainment strategies are needed to prevent unintended proliferation of GMOs in natural ecosystems. Existing biocontainment methods are insufficient because they impose evolutionary pressure on the organism to eject the safeguard by spontaneous mutagenesis or horizontal gene transfer, or because they can be circumvented by environmentally available compounds. In this paper, we computationally redesign essential enzymes in the first organism possessing an altered genetic code (Escherichia coli strain C321.ΔA) to confer metabolic dependence on non-standard amino acids for survival. The resulting GMOs cannot metabolically bypass theirmore » biocontainment mechanisms using known environmental compounds, and they exhibit unprecedented resistance to evolutionary escape through mutagenesis and horizontal gene transfer. Finally, this work provides a foundation for safer GMOs that are isolated from natural ecosystems by a reliance on synthetic metabolites.« less
Tsuchimatsu, T; Shimizu, K K
2013-10-01
The evolution of self-compatibility (SC) by the loss of self-incompatibility (SI) is regarded as one of the most frequent transitions in flowering plants. SI systems are generally characterized by specific interactions between the male and female specificity genes encoded at the S-locus. Recent empirical studies have revealed that the evolution of SC is often driven by male SC-conferring mutations at the S-locus rather than by female mutations. In this study, using a forward simulation model, we compared the fixation probabilities of male vs. female SC-conferring mutations at the S-locus. We explicitly considered the effects of pollen availability in the population and bias in the occurrence of SC-conferring mutations on the male and female specificity genes. We found that male SC-conferring mutations were indeed more likely to be fixed than were female SC-conferring mutations in a wide range of parameters. This pattern was particularly strong when pollen availability was relatively high. Under such a condition, even if the occurrence of mutations was biased strongly towards the female specificity gene, male SC-conferring mutations were much more often fixed. Our study demonstrates that fixation probabilities of those two types of mutation vary strongly depending on ecological and genetic conditions, although both types result in the same evolutionary consequence-the loss of SI. © 2013 The Authors. Journal of Evolutionary Biology © 2013 European Society For Evolutionary Biology.
Neskey, David M; Osman, Abdullah A; Ow, Thomas J; Katsonis, Panagiotis; McDonald, Thomas; Hicks, Stephanie C; Hsu, Teng-Kuei; Pickering, Curtis R; Ward, Alexandra; Patel, Ameeta; Yordy, John S; Skinner, Heath D; Giri, Uma; Sano, Daisuke; Story, Michael D; Beadle, Beth M; El-Naggar, Adel K; Kies, Merrill S; William, William N; Caulin, Carlos; Frederick, Mitchell; Kimmel, Marek; Myers, Jeffrey N; Lichtarge, Olivier
2015-04-01
TP53 is the most frequently altered gene in head and neck squamous cell carcinoma, with mutations occurring in over two-thirds of cases, but the prognostic significance of these mutations remains elusive. In the current study, we evaluated a novel computational approach termed evolutionary action (EAp53) to stratify patients with tumors harboring TP53 mutations as high or low risk, and validated this system in both in vivo and in vitro models. Patients with high-risk TP53 mutations had the poorest survival outcomes and the shortest time to the development of distant metastases. Tumor cells expressing high-risk TP53 mutations were more invasive and tumorigenic and they exhibited a higher incidence of lung metastases. We also documented an association between the presence of high-risk mutations and decreased expression of TP53 target genes, highlighting key cellular pathways that are likely to be dysregulated by this subset of p53 mutations that confer particularly aggressive tumor behavior. Overall, our work validated EAp53 as a novel computational tool that may be useful in clinical prognosis of tumors harboring p53 mutations. ©2015 American Association for Cancer Research.
Neskey, David M.; Osman, Abdullah A.; Ow, Thomas J.; Katsonis, Panagiotis; McDonald, Thomas; Hicks, Stephanie C.; Hsu, Teng-Kuei; Pickering, Curtis R.; Ward, Alexandra; Patel, Ameeta; Yordy, John S.; Skinner, Heath D.; Giri, Uma; Sano, Daisuke; Story, Michael D.; Beadle, Beth M.; El-Naggar, Adel K.; Kies, Merrill S.; William, William N.; Caulin, Carlos; Frederick, Mitchell; Kimmel, Marek; Myers, Jeffrey N.; Lichtarge, Olivier
2015-01-01
TP53 is the most frequently altered gene in head and neck squamous cell carcinoma (HNSCC) with mutations occurring in over two third of cases, but the prognostic significance of these mutations remains elusive. In the current study, we evaluated a novel computational approach termed Evolutionary Action (EAp53) to stratify patients with tumors harboring TP53 mutations as high or low risk, and validated this system in both in vivo and in vitro models. Patients with high risk TP53 mutations had the poorest survival outcomes and the shortest time to the development of distant metastases. Tumor cells expressing high risk TP53 mutations were more invasive and tumorigenic and they exhibited a higher incidence of lung metastases. We also documented an association between the presence of high risk mutations and decreased expression of TP53 target genes, highlighting key cellular pathways that are likely to be dysregulated by this subset of p53 mutations which confer particularly aggressive tumor behavior. Overall, our work validated EAp53 as a novel computational tool that may be useful in clinical prognosis of tumors harboring p53 mutations. PMID:25634208
Cooperative combinatorial optimization: evolutionary computation case study.
Burgin, Mark; Eberbach, Eugene
2008-01-01
This paper presents a formalization of the notion of cooperation and competition of multiple systems that work toward a common optimization goal of the population using evolutionary computation techniques. It is proved that evolutionary algorithms are more expressive than conventional recursive algorithms, such as Turing machines. Three classes of evolutionary computations are introduced and studied: bounded finite, unbounded finite, and infinite computations. Universal evolutionary algorithms are constructed. Such properties of evolutionary algorithms as completeness, optimality, and search decidability are examined. A natural extension of evolutionary Turing machine (ETM) model is proposed to properly reflect phenomena of cooperation and competition in the whole population.
Algorithmic Mechanism Design of Evolutionary Computation.
Pei, Yan
2015-01-01
We consider algorithmic design, enhancement, and improvement of evolutionary computation as a mechanism design problem. All individuals or several groups of individuals can be considered as self-interested agents. The individuals in evolutionary computation can manipulate parameter settings and operations by satisfying their own preferences, which are defined by an evolutionary computation algorithm designer, rather than by following a fixed algorithm rule. Evolutionary computation algorithm designers or self-adaptive methods should construct proper rules and mechanisms for all agents (individuals) to conduct their evolution behaviour correctly in order to definitely achieve the desired and preset objective(s). As a case study, we propose a formal framework on parameter setting, strategy selection, and algorithmic design of evolutionary computation by considering the Nash strategy equilibrium of a mechanism design in the search process. The evaluation results present the efficiency of the framework. This primary principle can be implemented in any evolutionary computation algorithm that needs to consider strategy selection issues in its optimization process. The final objective of our work is to solve evolutionary computation design as an algorithmic mechanism design problem and establish its fundamental aspect by taking this perspective. This paper is the first step towards achieving this objective by implementing a strategy equilibrium solution (such as Nash equilibrium) in evolutionary computation algorithm.
Algorithmic Mechanism Design of Evolutionary Computation
2015-01-01
We consider algorithmic design, enhancement, and improvement of evolutionary computation as a mechanism design problem. All individuals or several groups of individuals can be considered as self-interested agents. The individuals in evolutionary computation can manipulate parameter settings and operations by satisfying their own preferences, which are defined by an evolutionary computation algorithm designer, rather than by following a fixed algorithm rule. Evolutionary computation algorithm designers or self-adaptive methods should construct proper rules and mechanisms for all agents (individuals) to conduct their evolution behaviour correctly in order to definitely achieve the desired and preset objective(s). As a case study, we propose a formal framework on parameter setting, strategy selection, and algorithmic design of evolutionary computation by considering the Nash strategy equilibrium of a mechanism design in the search process. The evaluation results present the efficiency of the framework. This primary principle can be implemented in any evolutionary computation algorithm that needs to consider strategy selection issues in its optimization process. The final objective of our work is to solve evolutionary computation design as an algorithmic mechanism design problem and establish its fundamental aspect by taking this perspective. This paper is the first step towards achieving this objective by implementing a strategy equilibrium solution (such as Nash equilibrium) in evolutionary computation algorithm. PMID:26257777
2009 MICROBIAL POPULATION BIOLOGY GORDON RESEARCH CONFERENCES JULY 19-24,2009
DOE Office of Scientific and Technical Information (OSTI.GOV)
ANTHONY DEAN
2009-07-24
The 2009 Gordon Conference on Microbial Population Biology will cover a diverse range of cutting edge issues in the microbial sciences and beyond. Firmly founded in evolutionary biology and with a strongly integrative approach, past Conferences have covered a range of topics from the dynamics and genetics of adaptation to the evolution of mutation rate, community ecology, evolutionary genomics, altruism, and epidemiology. The 2009 Conference is no exception, and will include sessions on the evolution of infectious diseases, social evolution, the evolution of symbioses, experimental evolution, adaptive landscapes, community dynamics, and the evolution of protein structure and function. While genomicmore » approaches continue to make inroads, broadening our knowledge and encompassing new questions, the conference will also emphasize the use of experimental approaches to test hypotheses decisively. As in the past, this Conference provides young scientists and graduate students opportunities to present their work in poster format and exchange ideas with leading investigators from a broad spectrum of disciplines. This meeting is never dull: some of the most significant and contentious issues in biology have been thrashed out here. The 2009 meeting will be no exception.« less
More efficient evolutionary strategies for model calibration with watershed model for demonstration
NASA Astrophysics Data System (ADS)
Baggett, J. S.; Skahill, B. E.
2008-12-01
Evolutionary strategies allow automatic calibration of more complex models than traditional gradient based approaches, but they are more computationally intensive. We present several efficiency enhancements for evolution strategies, many of which are not new, but when combined have been shown to dramatically decrease the number of model runs required for calibration of synthetic problems. To reduce the number of expensive model runs we employ a surrogate objective function for an adaptively determined fraction of the population at each generation (Kern et al., 2006). We demonstrate improvements to the adaptive ranking strategy that increase its efficiency while sacrificing little reliability and further reduce the number of model runs required in densely sampled parts of parameter space. Furthermore, we include a gradient individual in each generation that is usually not selected when the search is in a global phase or when the derivatives are poorly approximated, but when selected near a smooth local minimum can dramatically increase convergence speed (Tahk et al., 2007). Finally, the selection of the gradient individual is used to adapt the size of the population near local minima. We show, by incorporating these enhancements into the Covariance Matrix Adaption Evolution Strategy (CMAES; Hansen, 2006), that their synergetic effect is greater than their individual parts. This hybrid evolutionary strategy exploits smooth structure when it is present but degrades to an ordinary evolutionary strategy, at worst, if smoothness is not present. Calibration of 2D-3D synthetic models with the modified CMAES requires approximately 10%-25% of the model runs of ordinary CMAES. Preliminary demonstration of this hybrid strategy will be shown for watershed model calibration problems. Hansen, N. (2006). The CMA Evolution Strategy: A Comparing Review. In J.A. Lozano, P. Larrañga, I. Inza and E. Bengoetxea (Eds.). Towards a new evolutionary computation. Advances in estimation of distribution algorithms. pp. 75-102, Springer Kern, S., N. Hansen and P. Koumoutsakos (2006). Local Meta-Models for Optimization Using Evolution Strategies. In Ninth International Conference on Parallel Problem Solving from Nature PPSN IX, Proceedings, pp.939-948, Berlin: Springer. Tahk, M., Woo, H., and Park. M, (2007). A hybrid optimization of evolutionary and gradient search. Engineering Optimization, (39), 87-104.
Application of evolutionary computation in ECAD problems
NASA Astrophysics Data System (ADS)
Lee, Dae-Hyun; Hwang, Seung H.
1998-10-01
Design of modern electronic system is a complicated task which demands the use of computer- aided design (CAD) tools. Since a lot of problems in ECAD are combinatorial optimization problems, evolutionary computations such as genetic algorithms and evolutionary programming have been widely employed to solve those problems. We have applied evolutionary computation techniques to solve ECAD problems such as technology mapping, microcode-bit optimization, data path ordering and peak power estimation, where their benefits are well observed. This paper presents experiences and discusses issues in those applications.
Development of X-TOOLSS: Preliminary Design of Space Systems Using Evolutionary Computation
NASA Technical Reports Server (NTRS)
Schnell, Andrew R.; Hull, Patrick V.; Turner, Mike L.; Dozier, Gerry; Alverson, Lauren; Garrett, Aaron; Reneau, Jarred
2008-01-01
Evolutionary computational (EC) techniques such as genetic algorithms (GA) have been identified as promising methods to explore the design space of mechanical and electrical systems at the earliest stages of design. In this paper the authors summarize their research in the use of evolutionary computation to develop preliminary designs for various space systems. An evolutionary computational solver developed over the course of the research, X-TOOLSS (Exploration Toolset for the Optimization of Launch and Space Systems) is discussed. With the success of early, low-fidelity example problems, an outline of work involving more computationally complex models is discussed.
From evolutionary computation to the evolution of things.
Eiben, Agoston E; Smith, Jim
2015-05-28
Evolution has provided a source of inspiration for algorithm designers since the birth of computers. The resulting field, evolutionary computation, has been successful in solving engineering tasks ranging in outlook from the molecular to the astronomical. Today, the field is entering a new phase as evolutionary algorithms that take place in hardware are developed, opening up new avenues towards autonomous machines that can adapt to their environment. We discuss how evolutionary computation compares with natural evolution and what its benefits are relative to other computing approaches, and we introduce the emerging area of artificial evolution in physical systems.
78 FR 10180 - Annual Computational Science Symposium; Conference
Federal Register 2010, 2011, 2012, 2013, 2014
2013-02-13
...] Annual Computational Science Symposium; Conference AGENCY: Food and Drug Administration, HHS. ACTION... Computational Science Symposium.'' The purpose of the conference is to help the broader community align and share experiences to advance computational science. At the conference, which will bring together FDA...
Practical advantages of evolutionary computation
NASA Astrophysics Data System (ADS)
Fogel, David B.
1997-10-01
Evolutionary computation is becoming a common technique for solving difficult, real-world problems in industry, medicine, and defense. This paper reviews some of the practical advantages to using evolutionary algorithms as compared with classic methods of optimization or artificial intelligence. Specific advantages include the flexibility of the procedures, as well as their ability to self-adapt the search for optimum solutions on the fly. As desktop computers increase in speed, the application of evolutionary algorithms will become routine.
77 FR 10785 - Advisory Committee on Reactor Safeguards; Notice of Meeting
Federal Register 2010, 2011, 2012, 2013, 2014
2012-02-23
... Monday, October 17, 2011 (76 FR 64126-64127). Thursday, March 8, 2012, Conference Room T2-B1, 11545....: Selected Chapters of the Safety Evaluation Report (SER) with Open Items Associated with the US Evolutionary...)(4)] Friday, March 9, 2012, Conference Room T2-B1, 11545 Rockville Pike, Rockville, Maryland 8:30 a.m...
K.D. Klepzig; A.S. Adams; J. Handelsman; K.F. Raffa
2009-01-01
Symbiosis is receiving increased attention among all aspects of biology because of the unifying themes it helps construct across ecological,evolutionary, developmental, semiochemical, and pest management theory. Insects show a vast array of symbiotic relationships with a wide diversity of microorganisms. These relationships may confer a variety of benefits to the host...
Kier Klepzig; A.S. Adams; J Handelsman; K.F. Raffa
2009-01-01
Symbiosis is receiving increased attention among all aspects of biology because of the unifying themes it helps construct across ecological, evolutionary, developmental, semiochemical, and pest management theory. Insects show a vast array of symbiotic relationships with a wide diversity of microorganisms. These relationships may confer a variety of benefits to the host...
PREFACE: International Conference on Computing in High Energy and Nuclear Physics (CHEP'07)
NASA Astrophysics Data System (ADS)
Sobie, Randall; Tafirout, Reda; Thomson, Jana
2007-07-01
The 2007 International Conference on Computing in High Energy and Nuclear Physics (CHEP) was held on 2-7 September 2007 in Victoria, British Columbia, Canada. CHEP is a major series of international conferences for physicists and computing professionals from the High Energy and Nuclear Physics community, Computer Science and Information Technology. The CHEP conference provides an international forum to exchange information on computing experience and needs for the community, and to review recent, ongoing, and future activities. The CHEP'07 conference had close to 500 attendees with a program that included plenary sessions of invited oral presentations, a number of parallel sessions comprising oral and poster presentations, and an industrial exhibition. Conference tracks covered topics in Online Computing, Event Processing, Software Components, Tools and Databases, Software Tools and Information Systems, Computing Facilities, Production Grids and Networking, Grid Middleware and Tools, Distributed Data Analysis and Information Management and Collaborative Tools. The conference included a successful whale-watching excursion involving over 200 participants and a banquet at the Royal British Columbia Museum. The next CHEP conference will be held in Prague in March 2009. We would like thank the sponsors of the conference and the staff at the TRIUMF Laboratory and the University of Victoria who made the CHEP'07 a success. Randall Sobie and Reda Tafirout CHEP'07 Conference Chairs
ISMB 2016 offers outstanding science, networking, and celebration
Fogg, Christiana
2016-01-01
The annual international conference on Intelligent Systems for Molecular Biology (ISMB) is the major meeting of the International Society for Computational Biology (ISCB). Over the past 23 years the ISMB conference has grown to become the world's largest bioinformatics/computational biology conference. ISMB 2016 will be the year's most important computational biology event globally. The conferences provide a multidisciplinary forum for disseminating the latest developments in bioinformatics/computational biology. ISMB brings together scientists from computer science, molecular biology, mathematics, statistics and related fields. Its principal focus is on the development and application of advanced computational methods for biological problems. ISMB 2016 offers the strongest scientific program and the broadest scope of any international bioinformatics/computational biology conference. Building on past successes, the conference is designed to cater to variety of disciplines within the bioinformatics/computational biology community. ISMB 2016 takes place July 8 - 12 at the Swan and Dolphin Hotel in Orlando, Florida, United States. For two days preceding the conference, additional opportunities including Satellite Meetings, Student Council Symposium, and a selection of Special Interest Group Meetings and Applied Knowledge Exchange Sessions (AKES) are all offered to enable registered participants to learn more on the latest methods and tools within specialty research areas. PMID:27347392
ISMB 2016 offers outstanding science, networking, and celebration.
Fogg, Christiana
2016-01-01
The annual international conference on Intelligent Systems for Molecular Biology (ISMB) is the major meeting of the International Society for Computational Biology (ISCB). Over the past 23 years the ISMB conference has grown to become the world's largest bioinformatics/computational biology conference. ISMB 2016 will be the year's most important computational biology event globally. The conferences provide a multidisciplinary forum for disseminating the latest developments in bioinformatics/computational biology. ISMB brings together scientists from computer science, molecular biology, mathematics, statistics and related fields. Its principal focus is on the development and application of advanced computational methods for biological problems. ISMB 2016 offers the strongest scientific program and the broadest scope of any international bioinformatics/computational biology conference. Building on past successes, the conference is designed to cater to variety of disciplines within the bioinformatics/computational biology community. ISMB 2016 takes place July 8 - 12 at the Swan and Dolphin Hotel in Orlando, Florida, United States. For two days preceding the conference, additional opportunities including Satellite Meetings, Student Council Symposium, and a selection of Special Interest Group Meetings and Applied Knowledge Exchange Sessions (AKES) are all offered to enable registered participants to learn more on the latest methods and tools within specialty research areas.
ERIC Educational Resources Information Center
Palme, Jacob
The four papers contained in this document provide: (1) a survey of computer based mail and conference systems; (2) an evaluation of systems for both individually addressed mail and group addressing through conferences and distribution lists; (3) a discussion of various methods of structuring the text data in existing systems; and (4) a…
Ethics in the computer age. Conference proceedings
DOE Office of Scientific and Technical Information (OSTI.GOV)
Kizza, J.M.
1994-12-31
These proceedings contain the papers presented at the Ethics in the Computer Age conference held in Gatlinburg, Tennessee, November 11-13, 1994. The conference was sponsored by ACM SIGCAS (Computers and Society) to which I am very grateful. The Ethics in the Computer Age conference sequence started in 1991 with the first conference at the campus of the University of Tennessee at Chattanooga. The second was help at the same location a year later. These two conferences were limited to only invited speakers, but their success was overwhelming. This is the third in the sequence and the first truly international one.more » Plans are already under way for the fourth in 1996.« less
Filley, C M; Price, B H; Nell, V; Antoinette, T; Morgan, A S; Bresnahan, J F; Pincus, J H; Gelbort, M M; Weissberg, M; Kelly, J P
2001-01-01
Violence is a global problem that poses a major challenge to individuals and society. This document is a consensus statement on neurobehavioral aspects of violence as one approach to its understanding and control. This consensus group was convened under the auspices of the Aspen Neurobehavioral Conference, an annual consensus conference devoted to the understanding of issues related to mind and brain. The conference is supported by the Brain Injury Association and by individual philanthropic contributions. Participants were selected by conference organizers to represent leading opinion in neurology, neuropsychology, psychiatry, trauma surgery, nursing, evolutionary psychology, medical ethics, and law. A literature review of the role of the brain in violent behavior was conducted and combined with expert opinion from the group. The major goal was to survey this field so as to identify major areas of interest that could be targeted for further research. Additional review was secured from the other attendees at the Aspen Neurobehavioral Conference. The group met in the spring of 1998 and 1999 for two 5-day sessions, between which individual assignments were carried out. The consensus statement was prepared after the second meeting, and agreement on the statement was reached by participants after final review of the document. Violence can result from brain dysfunction, although social and evolutionary factors also contribute. Study of the neurobehavioral aspects of violence, particularly frontal lobe dysfunction, altered serotonin metabolism, and the influence of heredity, promises to lead to a deeper understanding of the causes and solution of this urgent problem.
XXV IUPAP Conference on Computational Physics (CCP2013): Preface
NASA Astrophysics Data System (ADS)
2014-05-01
XXV IUPAP Conference on Computational Physics (CCP2013) was held from 20-24 August 2013 at the Russian Academy of Sciences in Moscow, Russia. The annual Conferences on Computational Physics (CCP) present an overview of the most recent developments and opportunities in computational physics across a broad range of topical areas. The CCP series aims to draw computational scientists from around the world and to stimulate interdisciplinary discussion and collaboration by putting together researchers interested in various fields of computational science. It is organized under the auspices of the International Union of Pure and Applied Physics and has been in existence since 1989. The CCP series alternates between Europe, America and Asia-Pacific. The conferences are traditionally supported by European Physical Society and American Physical Society. This year the Conference host was Landau Institute for Theoretical Physics. The Conference contained 142 presentations, and, in particular, 11 plenary talks with comprehensive reviews from airbursts to many-electron systems. We would like to take this opportunity to thank our sponsors: International Union of Pure and Applied Physics (IUPAP), European Physical Society (EPS), Division of Computational Physics of American Physical Society (DCOMP/APS), Russian Foundation for Basic Research, Department of Physical Sciences of Russian Academy of Sciences, RSC Group company. Further conference information and images from the conference are available in the pdf.
ERIC Educational Resources Information Center
Association for the Advancement of Computing in Education. Asia-Pacific Chapter.
This conference addressed pedagogical, social, and technological issues related to computers in education. The conference theme, "Learning Societies in the New Millennium: Creativity, Caring & Commitments," focused on creative learning, caring for diverse cultures and global issues, and committing oneself to a new way of…
ERIC Educational Resources Information Center
National Educational Computing Conference.
The National Educational Computing Conference (NECC) is the largest conference of its kind in the world. This document is the Proceedings from the 23rd annual National Educational Computing Conference (NECC) held in San Antonio, June 17-19, 2002. Included are: general information; schedule of events; evaluation form; and the program. Information…
Kim, Yuseob; Escalante, Ananias A.; Schneider, Kristan A.
2014-01-01
To develop public-health policies that extend the lifespan of affordable anti-malarial drugs as effective treatment options, it is necessary to understand the evolutionary processes leading to the origin and spread of mutations conferring drug resistance in malarial parasites. We built a population-genetic model for the emergence of resistance under combination drug therapy. Reproductive cycles of parasites are specified by their absolute fitness determined by clinical parameters, thus coupling the evolutionary-genetic with population-dynamic processes. Initial mutations confer only partial drug-resistance. Therefore, mutant parasites rarely survive combination therapy and within-host competition is very weak among parasites. The model focuses on the early phase of such unsuccessful recurrent mutations. This ends in the rare event of mutants enriching in an infected individual from which the successful spread of resistance over the entire population is initiated. By computer simulations, the waiting time until the establishment of resistant parasites is analysed. Resistance spreads quickly following the first appearance of a host infected predominantly by mutant parasites. This occurs either through a rare transmission of a resistant parasite to an uninfected host or through a rare failure of drugs in removing “transient” mutant alleles. The emergence of resistance is delayed with lower mutation rate, earlier treatment, higher metabolic cost of resistance, longer duration of high drug dose, and higher drug efficacy causing a stronger reduction in the sensitive and resistant parasites’ fitnesses. Overall, contrary to other studies’ proposition, the current model based on absolute fitness suggests that aggressive drug treatment delays the emergence of drug resistance. PMID:25007207
Arenas, Miguel
2015-04-01
NGS technologies present a fast and cheap generation of genomic data. Nevertheless, ancestral genome inference is not so straightforward due to complex evolutionary processes acting on this material such as inversions, translocations, and other genome rearrangements that, in addition to their implicit complexity, can co-occur and confound ancestral inferences. Recently, models of genome evolution that accommodate such complex genomic events are emerging. This letter explores these novel evolutionary models and proposes their incorporation into robust statistical approaches based on computer simulations, such as approximate Bayesian computation, that may produce a more realistic evolutionary analysis of genomic data. Advantages and pitfalls in using these analytical methods are discussed. Potential applications of these ancestral genomic inferences are also pointed out.
Evolutionary computation in zoology and ecology.
Boone, Randall B
2017-12-01
Evolutionary computational methods have adopted attributes of natural selection and evolution to solve problems in computer science, engineering, and other fields. The method is growing in use in zoology and ecology. Evolutionary principles may be merged with an agent-based modeling perspective to have individual animals or other agents compete. Four main categories are discussed: genetic algorithms, evolutionary programming, genetic programming, and evolutionary strategies. In evolutionary computation, a population is represented in a way that allows for an objective function to be assessed that is relevant to the problem of interest. The poorest performing members are removed from the population, and remaining members reproduce and may be mutated. The fitness of the members is again assessed, and the cycle continues until a stopping condition is met. Case studies include optimizing: egg shape given different clutch sizes, mate selection, migration of wildebeest, birds, and elk, vulture foraging behavior, algal bloom prediction, and species richness given energy constraints. Other case studies simulate the evolution of species and a means to project shifts in species ranges in response to a changing climate that includes competition and phenotypic plasticity. This introduction concludes by citing other uses of evolutionary computation and a review of the flexibility of the methods. For example, representing species' niche spaces subject to selective pressure allows studies on cladistics, the taxon cycle, neutral versus niche paradigms, fundamental versus realized niches, community structure and order of colonization, invasiveness, and responses to a changing climate.
Evolutionary computation in zoology and ecology
2017-01-01
Abstract Evolutionary computational methods have adopted attributes of natural selection and evolution to solve problems in computer science, engineering, and other fields. The method is growing in use in zoology and ecology. Evolutionary principles may be merged with an agent-based modeling perspective to have individual animals or other agents compete. Four main categories are discussed: genetic algorithms, evolutionary programming, genetic programming, and evolutionary strategies. In evolutionary computation, a population is represented in a way that allows for an objective function to be assessed that is relevant to the problem of interest. The poorest performing members are removed from the population, and remaining members reproduce and may be mutated. The fitness of the members is again assessed, and the cycle continues until a stopping condition is met. Case studies include optimizing: egg shape given different clutch sizes, mate selection, migration of wildebeest, birds, and elk, vulture foraging behavior, algal bloom prediction, and species richness given energy constraints. Other case studies simulate the evolution of species and a means to project shifts in species ranges in response to a changing climate that includes competition and phenotypic plasticity. This introduction concludes by citing other uses of evolutionary computation and a review of the flexibility of the methods. For example, representing species’ niche spaces subject to selective pressure allows studies on cladistics, the taxon cycle, neutral versus niche paradigms, fundamental versus realized niches, community structure and order of colonization, invasiveness, and responses to a changing climate. PMID:29492029
ERIC Educational Resources Information Center
Lawlor, Joseph, Ed.
Suggestions for integrating computer technology and composition instruction are presented in four conference papers, summaries of four conference courseware demonstrations, a paper describing computer-based evaluation of textual responses, and a reactor's address. In an overview of the current state of computer-based composition instruction,…
Integrating electronic conferencing to enhance problem solving in nursing.
Witucki, J M; Hodson, K E; Malm, L D
1996-01-01
The authors describe how a computer-mediated conference was integrated into a baccalaureate nursing program clinical course. They discuss methods used in implementing the conference, including a technical review of the software and hardware, and methods of implementing and monitoring the conference with students. Examples of discussion items, student and faculty responses to posted items, and responses to use of the computer-mediated conference are included. Results and recommendations from this experience will be useful to other schools integrating computer-mediated conference technology into the nursing school curriculum.
Computer Conferences and Learning: Authority, Resistance, and Internally Persuasive Discourse.
ERIC Educational Resources Information Center
Cooper, Marilyn M.; Selfe, Cynthia L.
1990-01-01
Describes a nontraditional discourse forum, computer-based conferences, in which students hold written conversations to discuss readings, debate issues, share frustrations, and try to become comfortable with the ideas presented in the classroom. Argues that these computer conferences are powerful learning forums for students because they encourage…
Zagrijchuk, Elizaveta A.; Sabirov, Marat A.; Holloway, David M.; Spirov, Alexander V.
2014-01-01
Biological development depends on the coordinated expression of genes in time and space. Developmental genes have extensive cis-regulatory regions which control their expression. These regions are organized in a modular manner, with different modules controlling expression at different times and locations. Both how modularity evolved and what function it serves are open questions. We present a computational model for the cis-regulation of the hunchback (hb) gene in the fruit fly (Drosophila). We simulate evolution (using an evolutionary computation approach from computer science) to find the optimal cis-regulatory arrangements for fitting experimental hb expression patterns. We find that the cis-regulatory region tends to readily evolve modularity. These cis-regulatory modules (CRMs) do not tend to control single spatial domains, but show a multi-CRM/multi-domain correspondence. We find that the CRM-domain correspondence seen in Drosophila evolves with a high probability in our model, supporting the biological relevance of the approach. The partial redundancy resulting from multi-CRM control may confer some biological robustness against corruption of regulatory sequences. The technique developed on hb could readily be applied to other multi-CRM developmental genes. PMID:24712536
From computers to cultivation: reconceptualizing evolutionary psychology.
Barrett, Louise; Pollet, Thomas V; Stulp, Gert
2014-01-01
Does evolutionary theorizing have a role in psychology? This is a more contentious issue than one might imagine, given that, as evolved creatures, the answer must surely be yes. The contested nature of evolutionary psychology lies not in our status as evolved beings, but in the extent to which evolutionary ideas add value to studies of human behavior, and the rigor with which these ideas are tested. This, in turn, is linked to the framework in which particular evolutionary ideas are situated. While the framing of the current research topic places the brain-as-computer metaphor in opposition to evolutionary psychology, the most prominent school of thought in this field (born out of cognitive psychology, and often known as the Santa Barbara school) is entirely wedded to the computational theory of mind as an explanatory framework. Its unique aspect is to argue that the mind consists of a large number of functionally specialized (i.e., domain-specific) computational mechanisms, or modules (the massive modularity hypothesis). Far from offering an alternative to, or an improvement on, the current perspective, we argue that evolutionary psychology is a mainstream computational theory, and that its arguments for domain-specificity often rest on shaky premises. We then go on to suggest that the various forms of e-cognition (i.e., embodied, embedded, enactive) represent a true alternative to standard computational approaches, with an emphasis on "cognitive integration" or the "extended mind hypothesis" in particular. We feel this offers the most promise for human psychology because it incorporates the social and historical processes that are crucial to human "mind-making" within an evolutionarily informed framework. In addition to linking to other research areas in psychology, this approach is more likely to form productive links to other disciplines within the social sciences, not least by encouraging a healthy pluralism in approach.
Interaction and Cognition in Asynchronous Computer Conferencing
ERIC Educational Resources Information Center
Schrire, Sarah
2004-01-01
This paper is based on a multiple-case study of the learning process in three asynchronous computer conferences. The conferences were part of the distance learning component in doctoral degree courses in computing technology in education offered at an American university. The conferences were analyzed from a number of perspectives, the emphasis in…
ERIC Educational Resources Information Center
National Educational Computing Conference.
Topics of NECC '98 (National Educational Computing Conference) papers presented at this conference on technology in education include: digital portfolios; technology-integrated multidisciplinary curriculum design; a virtual Web site; a computer literacy course; Internet projects for various subjects; staff development; music videos; interaction of…
2017-05-22
Proceedings of the International Conference on Security and Management (SAM ) In Proceedings of the 2014 ACM SIGSAC Conference on Computer and...Communications Security (CCS ’14) In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’10) In Proceedings of the 3rd Symposium...on Usable Privacy and Security (SOUPS ’07) In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’12) In Proceedings of
ERIC Educational Resources Information Center
Smith, Peter, Ed.; Smith, Carol L., Ed.
2004-01-01
This 2004 Association of Small Computer Users in Education (ASCUE) conference proceedings presented the theme "Leading Strategic & Cultural Change through Technology." The conference introduced its ASCUE Officers and Directors, and provides abstracts of the pre-conference workshops. The full-text conference papers in this document…
ERIC Educational Resources Information Center
Smith, Peter, Ed.; Smith, Carol L., Ed.
2005-01-01
This 2005 Association of Small Computer Users in Education (ASCUE) conference proceedings presented the theme "Campus Technology: Anticipating the Future." The conference introduced its ASCUE Officers and Directors, and provides abstracts of the pre-conference workshops. The full-text conference papers in this document include: (1) Developing…
ERIC Educational Resources Information Center
Chen, Gwo-Dong; Chen, Chun-Hsiang; Wang, Chin-Yeh; Li, Liang-Yi
2012-01-01
The article aims to compare international conferences, "The International Educational Technology Conference" (IETC, 2011) and "The International Conference on Computers in Education" (ICCE, 2010), from various dimensions. The comparison is expected to conclude a better approach for every IETC and ICCE to be held. (Contains 4…
ERIC Educational Resources Information Center
Baptista Nunes, Miguel, Ed.; McPherson, Maggie, Ed.
2014-01-01
These proceedings contain the papers of the International Conference e-Learning 2014, which was organised by the International Association for Development of the Information Society and is part of the Multi Conference on Computer Science and Information Systems (Lisbon, Portugal July 15-19, 2014). The e-Learning 2014 conference aims to address the…
Research Trends in Computational Linguistics. Conference Report.
ERIC Educational Resources Information Center
Center for Applied Linguistics, Washington, DC.
This document contains the reports summarizing the main discussion held during the March 1972 Computational Linguistics Conference. The first report, "Computational Linguistics and Linguistics," helps to establish definitions and an understanding of the scope of computational linguistics. "Integrated Computer Systems for Language" and…
Rapidly evolving R genes in diverse grass species confer resistance to rice blast disease
Yang, Sihai; Li, Jing; Zhang, Xiaohui; Zhang, Qijun; Huang, Ju; Chen, Jian-Qun; Hartl, Daniel L.; Tian, Dacheng
2013-01-01
We show that the genomes of maize, sorghum, and brachypodium contain genes that, when transformed into rice, confer resistance to rice blast disease. The genes are resistance genes (R genes) that encode proteins with nucleotide-binding site (NBS) and leucine-rich repeat (LRR) domains (NBS–LRR proteins). By using criteria associated with rapid molecular evolution, we identified three rapidly evolving R-gene families in these species as well as in rice, and transformed a randomly chosen subset of these genes into rice strains known to be sensitive to rice blast disease caused by the fungus Magnaporthe oryzae. The transformed strains were then tested for sensitivity or resistance to 12 diverse strains of M. oryzae. A total of 15 functional blast R genes were identified among 60 NBS–LRR genes cloned from maize, sorghum, and brachypodium; and 13 blast R genes were obtained from 20 NBS–LRR paralogs in rice. These results show that abundant blast R genes occur not only within species but also among species, and that the R genes in the same rapidly evolving gene family can exhibit an effector response that confers resistance to rapidly evolving fungal pathogens. Neither conventional evolutionary conservation nor conventional evolutionary convergence supplies a satisfactory explanation of our findings. We suggest a unique mechanism termed “constrained divergence,” in which R genes and pathogen effectors can follow only limited evolutionary pathways to increase fitness. Our results open avenues for R-gene identification that will help to elucidate R-gene vs. effector mechanisms and may yield new sources of durable pathogen resistance. PMID:24145399
Group Communication Through Computers. Volume 4: Social, Managerial, and Economic Issues.
ERIC Educational Resources Information Center
Vallee, Jacques; And Others
This study is the first assessment of the long term effects of computer conferencing. The use of PLANET and FORUM are described, and major users and conference characteristics are presented through excerpts from conference transcripts. Part I of the report focuses on the ways in which organizations used computer conferencing. Conference size and…
Hidden Markov models and other machine learning approaches in computational molecular biology
DOE Office of Scientific and Technical Information (OSTI.GOV)
Baldi, P.
1995-12-31
This tutorial was one of eight tutorials selected to be presented at the Third International Conference on Intelligent Systems for Molecular Biology which was held in the United Kingdom from July 16 to 19, 1995. Computational tools are increasingly needed to process the massive amounts of data, to organize and classify sequences, to detect weak similarities, to separate coding from non-coding regions, and reconstruct the underlying evolutionary history. The fundamental problem in machine learning is the same as in scientific reasoning in general, as well as statistical modeling: to come up with a good model for the data. In thismore » tutorial four classes of models are reviewed. They are: Hidden Markov models; artificial Neural Networks; Belief Networks; and Stochastic Grammars. When dealing with DNA and protein primary sequences, Hidden Markov models are one of the most flexible and powerful alignments and data base searches. In this tutorial, attention is focused on the theory of Hidden Markov Models, and how to apply them to problems in molecular biology.« less
ICCE/ICCAI 2000 Full & Short Papers (Computer-Assisted Language Learning).
ERIC Educational Resources Information Center
2000
This document contains the following full and short papers on computer-assisted language learning (CALL) from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction): (1) "A Computer-Assisted English Abstract Words Learning Environment on the Web" (Wenli Tsou and…
NASA Technical Reports Server (NTRS)
Vallee, J.; Wilson, T.
1976-01-01
Results are reported of the first experiments for a computer conference management information system at the National Aeronautics and Space Administration. Between August 1975 and March 1976, two NASA projects with geographically separated participants (NASA scientists) used the PLANET computer conferencing system for portions of their work. The first project was a technology assessment of future transportation systems. The second project involved experiments with the Communication Technology Satellite. As part of this project, pre- and postlaunch operations were discussed in a computer conference. These conferences also provided the context for an analysis of the cost of computer conferencing. In particular, six cost components were identified: (1) terminal equipment, (2) communication with a network port, (3) network connection, (4) computer utilization, (5) data storage and (6) administrative overhead.
From computers to cultivation: reconceptualizing evolutionary psychology
Barrett, Louise; Pollet, Thomas V.; Stulp, Gert
2014-01-01
Does evolutionary theorizing have a role in psychology? This is a more contentious issue than one might imagine, given that, as evolved creatures, the answer must surely be yes. The contested nature of evolutionary psychology lies not in our status as evolved beings, but in the extent to which evolutionary ideas add value to studies of human behavior, and the rigor with which these ideas are tested. This, in turn, is linked to the framework in which particular evolutionary ideas are situated. While the framing of the current research topic places the brain-as-computer metaphor in opposition to evolutionary psychology, the most prominent school of thought in this field (born out of cognitive psychology, and often known as the Santa Barbara school) is entirely wedded to the computational theory of mind as an explanatory framework. Its unique aspect is to argue that the mind consists of a large number of functionally specialized (i.e., domain-specific) computational mechanisms, or modules (the massive modularity hypothesis). Far from offering an alternative to, or an improvement on, the current perspective, we argue that evolutionary psychology is a mainstream computational theory, and that its arguments for domain-specificity often rest on shaky premises. We then go on to suggest that the various forms of e-cognition (i.e., embodied, embedded, enactive) represent a true alternative to standard computational approaches, with an emphasis on “cognitive integration” or the “extended mind hypothesis” in particular. We feel this offers the most promise for human psychology because it incorporates the social and historical processes that are crucial to human “mind-making” within an evolutionarily informed framework. In addition to linking to other research areas in psychology, this approach is more likely to form productive links to other disciplines within the social sciences, not least by encouraging a healthy pluralism in approach. PMID:25161633
High Productivity Computing Systems and Competitiveness Initiative
2007-07-01
planning committee for the annual, international Supercomputing Conference in 2004 and 2005. This is the leading HPC industry conference in the world. It...sector partnerships. Partnerships will form a key part of discussions at the 2nd High Performance Computing Users Conference, planned for July 13, 2005...other things an interagency roadmap for high-end computing core technologies and an accessibility improvement plan . Improving HPC Education and
ERIC Educational Resources Information Center
Murphy, Harry J., Ed.
The following 25 papers (with their authors) are presented from a conference on computer technology in special education and rehabilitation: "Computers for Business--Computers for Life" (I. Keith Austin); "Rehabilitation and the Computer: How to Find What You Need" (Thomas Backer); "Computer Access Alternatives for Visually Impaired People in…
DOE Office of Scientific and Technical Information (OSTI.GOV)
Furlow, Julie Maupin-
Archaea, one of three major evolutionary lineages of life, are a fascinating and diverse group of microbes with deep roots overlapping those of eukaryotes. The focus of the 'Archaea: Ecology Metabolism & Molecular Biology' GRC conference expands on a number of emerging topics highlighting new paradigms in archaeal metabolism, genome function and systems biology; information processing; evolution and the tree of life; the ecology and diversity of archaea and their viruses; and industrial applications. The strength of this conference lies in its ability to couple a field with a rich history in high quality research with new scientific findings inmore » an atmosphere of stimulating exchange. This conference remains an excellent opportunity for younger scientists to interact with world experts in this field.« less
DOE Office of Scientific and Technical Information (OSTI.GOV)
Keneth Stedman
Archaea, one of three major evolutionary lineages of life, are a fascinating and diverse group of microbes with deep roots overlapping those of eukaryotes. The focus of the 'Archaea: Ecology Metabolism & Molecular Biology' GRC conference expands on a number of emerging topics highlighting new paradigms in archaeal metabolism, genome function and systems biology; information processing; evolution and the tree of life; the ecology and diversity of archaea and their viruses. The strength of this conference lies in its ability to couple a field with a rich history in high quality research with new scientific findings in an atmosphere ofmore » stimulating exchange. This conference remains an excellent opportunity for younger scientists to interact with world experts in this field.« less
ERIC Educational Resources Information Center
Interuniversity Communications Council (EDUCOM), Princeton, NJ.
Further developing a theme that has characterized several recent EDUCOM conferences, the 1974 EDUCOM Fall Conference focused on "Computing and Networks in Higher Education." Included in the conference program were papers and discussions on approaches to solving the organizational and financial problems of networking used in both the…
Conference Abstracts: AEDS '84.
ERIC Educational Resources Information Center
Baird, William E.
1985-01-01
The Association of Educational Data Systems (AEDS) conference included 102 presentations. Abstracts of seven of these presentations are provided. Topic areas considered include LOGO, teaching probability through a computer game, writing effective computer assisted instructional materials, computer literacy, research on instructional…
Bio-inspired algorithms applied to molecular docking simulations.
Heberlé, G; de Azevedo, W F
2011-01-01
Nature as a source of inspiration has been shown to have a great beneficial impact on the development of new computational methodologies. In this scenario, analyses of the interactions between a protein target and a ligand can be simulated by biologically inspired algorithms (BIAs). These algorithms mimic biological systems to create new paradigms for computation, such as neural networks, evolutionary computing, and swarm intelligence. This review provides a description of the main concepts behind BIAs applied to molecular docking simulations. Special attention is devoted to evolutionary algorithms, guided-directed evolutionary algorithms, and Lamarckian genetic algorithms. Recent applications of these methodologies to protein targets identified in the Mycobacterium tuberculosis genome are described.
Menshutkin, V V; Kazanskiĭ, A B; Levchenko, V F
2010-01-01
The history of rise and development of evolutionary methods in Saint Petersburg school of biological modelling is traced and analyzed. Some pioneering works in simulation of ecological and evolutionary processes, performed in St.-Petersburg school became an exemplary ones for many followers in Russia and abroad. The individual-based approach became the crucial point in the history of the school as an adequate instrument for construction of models of biological evolution. This approach is natural for simulation of the evolution of life-history parameters and adaptive processes in populations and communities. In some cases simulated evolutionary process was used for solving a reverse problem, i. e., for estimation of uncertain life-history parameters of population. Evolutionary computations is one more aspect of this approach application in great many fields. The problems and vistas of ecological and evolutionary modelling in general are discussed.
ERIC Educational Resources Information Center
Huston, Rick, Ed.; Armel, Donald, Ed.
Topics addressed by 40 papers from a conference on microcomputers include: developing a campus wide computer ethics policy; integrating new technologies into professional education; campus computer networks; computer assisted instruction; client/server architecture; competencies for entry-level computing positions; auditing and professional…
ERIC Educational Resources Information Center
Suiter, Martha, Ed.
This set of proceedings assembles papers presented at the 1995 Council for Higher Education Computing Services (CHECS) conference, held at the New Mexico Military Institute in Roswell, New Mexico. CHECS members are higher education computing services organizations within the state of New Mexico. The main focus of the conference was the Internet…
Knowledge Guided Evolutionary Algorithms in Financial Investing
ERIC Educational Resources Information Center
Wimmer, Hayden
2013-01-01
A large body of literature exists on evolutionary computing, genetic algorithms, decision trees, codified knowledge, and knowledge management systems; however, the intersection of these computing topics has not been widely researched. Moving through the set of all possible solutions--or traversing the search space--at random exhibits no control…
Automated design of spacecraft systems power subsystems
NASA Technical Reports Server (NTRS)
Terrile, Richard J.; Kordon, Mark; Mandutianu, Dan; Salcedo, Jose; Wood, Eric; Hashemi, Mona
2006-01-01
This paper discusses the application of evolutionary computing to a dynamic space vehicle power subsystem resource and performance simulation in a parallel processing environment. Our objective is to demonstrate the feasibility, application and advantage of using evolutionary computation techniques for the early design search and optimization of space systems.
Using modified fruit fly optimisation algorithm to perform the function test and case studies
NASA Astrophysics Data System (ADS)
Pan, Wen-Tsao
2013-06-01
Evolutionary computation is a computing mode established by practically simulating natural evolutionary processes based on the concept of Darwinian Theory, and it is a common research method. The main contribution of this paper was to reinforce the function of searching for the optimised solution using the fruit fly optimization algorithm (FOA), in order to avoid the acquisition of local extremum solutions. The evolutionary computation has grown to include the concepts of animal foraging behaviour and group behaviour. This study discussed three common evolutionary computation methods and compared them with the modified fruit fly optimization algorithm (MFOA). It further investigated the ability of the three mathematical functions in computing extreme values, as well as the algorithm execution speed and the forecast ability of the forecasting model built using the optimised general regression neural network (GRNN) parameters. The findings indicated that there was no obvious difference between particle swarm optimization and the MFOA in regards to the ability to compute extreme values; however, they were both better than the artificial fish swarm algorithm and FOA. In addition, the MFOA performed better than the particle swarm optimization in regards to the algorithm execution speed, and the forecast ability of the forecasting model built using the MFOA's GRNN parameters was better than that of the other three forecasting models.
Social Media: Menagerie of Metrics
2010-01-27
intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm . An EA...Cloning - 22 Animals were cloned to date; genetic algorithms can help prediction (e.g. “elitism” - attempts to ensure selection by including performers...28, 2010 Evolutionary Algorithm • Evolutionary algorithm From Wikipedia, the free encyclopedia Artificial intelligence portal In artificial
NASA Technical Reports Server (NTRS)
Reinsch, K. G. (Editor); Schmidt, W. (Editor); Ecer, A. (Editor); Haeuser, Jochem (Editor); Periaux, J. (Editor)
1992-01-01
A conference was held on parallel computational fluid dynamics and produced related papers. Topics discussed in these papers include: parallel implicit and explicit solvers for compressible flow, parallel computational techniques for Euler and Navier-Stokes equations, grid generation techniques for parallel computers, and aerodynamic simulation om massively parallel systems.
ERIC Educational Resources Information Center
Nanlohy, Phil, Ed.
1993-01-01
The 43 papers in this collection were presented at the Australian Council for Computers in Education 1993 annual conference. The papers focus on research and scholarship in the use of computers at the elementary, secondary, and higher education levels. The papers address the following aspects of the use of computers in education: (1) theoretical…
Argumentation in a Multi Party Asynchronous Computer Mediated Conference: A Generic Analysis
ERIC Educational Resources Information Center
Coffin, Caroline; Painter, Clare; Hewings, Ann
2005-01-01
This paper draws on systemic functional linguistic genre analysis to illuminate the way in which post graduate applied linguistics students structure their argumentation within a multi party asynchronous computer mediated conference. Two conference discussions within the same postgraduate course are compared in order to reveal the way in which…
Using Computational Toxicology to Enable Risk-Based ...
presentation at Drug Safety Gordon Research Conference 2016 on research efforts in NCCT to enable Computational Toxicology to support risk assessment. Slide presentation at Drug Safety Gordon Research Conference 2016 on research efforts in NCCT to enable Computational Toxicology to support risk assessment.
PREFACE: New trends in Computer Simulations in Physics and not only in physics
NASA Astrophysics Data System (ADS)
Shchur, Lev N.; Krashakov, Serge A.
2016-02-01
In this volume we have collected papers based on the presentations given at the International Conference on Computer Simulations in Physics and beyond (CSP2015), held in Moscow, September 6-10, 2015. We hope that this volume will be helpful and scientifically interesting for readers. The Conference was organized for the first time with the common efforts of the Moscow Institute for Electronics and Mathematics (MIEM) of the National Research University Higher School of Economics, the Landau Institute for Theoretical Physics, and the Science Center in Chernogolovka. The name of the Conference emphasizes the multidisciplinary nature of computational physics. Its methods are applied to the broad range of current research in science and society. The choice of venue was motivated by the multidisciplinary character of the MIEM. It is a former independent university, which has recently become the part of the National Research University Higher School of Economics. The Conference Computer Simulations in Physics and beyond (CSP) is planned to be organized biannually. This year's Conference featured 99 presentations, including 21 plenary and invited talks ranging from the analysis of Irish myths with recent methods of statistical physics, to computing with novel quantum computers D-Wave and D-Wave2. This volume covers various areas of computational physics and emerging subjects within the computational physics community. Each section was preceded by invited talks presenting the latest algorithms and methods in computational physics, as well as new scientific results. Both parallel and poster sessions paid special attention to numerical methods, applications and results. For all the abstracts presented at the conference please follow the link http://csp2015.ac.ru/files/book5x.pdf
Lee, Wei-Po; Hsiao, Yu-Ting; Hwang, Wei-Che
2014-01-16
To improve the tedious task of reconstructing gene networks through testing experimentally the possible interactions between genes, it becomes a trend to adopt the automated reverse engineering procedure instead. Some evolutionary algorithms have been suggested for deriving network parameters. However, to infer large networks by the evolutionary algorithm, it is necessary to address two important issues: premature convergence and high computational cost. To tackle the former problem and to enhance the performance of traditional evolutionary algorithms, it is advisable to use parallel model evolutionary algorithms. To overcome the latter and to speed up the computation, it is advocated to adopt the mechanism of cloud computing as a promising solution: most popular is the method of MapReduce programming model, a fault-tolerant framework to implement parallel algorithms for inferring large gene networks. This work presents a practical framework to infer large gene networks, by developing and parallelizing a hybrid GA-PSO optimization method. Our parallel method is extended to work with the Hadoop MapReduce programming model and is executed in different cloud computing environments. To evaluate the proposed approach, we use a well-known open-source software GeneNetWeaver to create several yeast S. cerevisiae sub-networks and use them to produce gene profiles. Experiments have been conducted and the results have been analyzed. They show that our parallel approach can be successfully used to infer networks with desired behaviors and the computation time can be largely reduced. Parallel population-based algorithms can effectively determine network parameters and they perform better than the widely-used sequential algorithms in gene network inference. These parallel algorithms can be distributed to the cloud computing environment to speed up the computation. By coupling the parallel model population-based optimization method and the parallel computational framework, high quality solutions can be obtained within relatively short time. This integrated approach is a promising way for inferring large networks.
2014-01-01
Background To improve the tedious task of reconstructing gene networks through testing experimentally the possible interactions between genes, it becomes a trend to adopt the automated reverse engineering procedure instead. Some evolutionary algorithms have been suggested for deriving network parameters. However, to infer large networks by the evolutionary algorithm, it is necessary to address two important issues: premature convergence and high computational cost. To tackle the former problem and to enhance the performance of traditional evolutionary algorithms, it is advisable to use parallel model evolutionary algorithms. To overcome the latter and to speed up the computation, it is advocated to adopt the mechanism of cloud computing as a promising solution: most popular is the method of MapReduce programming model, a fault-tolerant framework to implement parallel algorithms for inferring large gene networks. Results This work presents a practical framework to infer large gene networks, by developing and parallelizing a hybrid GA-PSO optimization method. Our parallel method is extended to work with the Hadoop MapReduce programming model and is executed in different cloud computing environments. To evaluate the proposed approach, we use a well-known open-source software GeneNetWeaver to create several yeast S. cerevisiae sub-networks and use them to produce gene profiles. Experiments have been conducted and the results have been analyzed. They show that our parallel approach can be successfully used to infer networks with desired behaviors and the computation time can be largely reduced. Conclusions Parallel population-based algorithms can effectively determine network parameters and they perform better than the widely-used sequential algorithms in gene network inference. These parallel algorithms can be distributed to the cloud computing environment to speed up the computation. By coupling the parallel model population-based optimization method and the parallel computational framework, high quality solutions can be obtained within relatively short time. This integrated approach is a promising way for inferring large networks. PMID:24428926
Evolutionary computing for the design search and optimization of space vehicle power subsystems
NASA Technical Reports Server (NTRS)
Kordon, M.; Klimeck, G.; Hanks, D.
2004-01-01
Evolutionary computing has proven to be a straightforward and robust approach for optimizing a wide range of difficult analysis and design problems. This paper discusses the application of these techniques to an existing space vehicle power subsystem resource and performance analysis simulation in a parallel processing environment.
ERIC Educational Resources Information Center
Association of Small Computer Users in Education, Greencastle, IN.
Forty-three papers from a conference on microcomputers are presented under the following headings: Computing in the Curriculum, Information and Computer Science Information; Institutional and Administrative Computing, and Management, Services, and Training. Topics of the papers include the following: telecommunications projects that work in…
ERIC Educational Resources Information Center
Lesgold, Alan; Reif, Frederick
The future of computers in education and the research needed to realize the computer's potential are discussed in this report, which presents a summary and the conclusions from an invitational conference involving 40 computer scientists, psychologists, educational researchers, teachers, school administrators, and parents. The summary stresses the…
Reconstructing evolutionary trees in parallel for massive sequences.
Zou, Quan; Wan, Shixiang; Zeng, Xiangxiang; Ma, Zhanshan Sam
2017-12-14
Building the evolutionary trees for massive unaligned DNA sequences is challenging and crucial. However, reconstructing evolutionary tree for ultra-large sequences is hard. Massive multiple sequence alignment is also challenging and time/space consuming. Hadoop and Spark are developed recently, which bring spring light for the classical computational biology problems. In this paper, we tried to solve the multiple sequence alignment and evolutionary reconstruction in parallel. HPTree, which is developed in this paper, can deal with big DNA sequence files quickly. It works well on the >1GB files, and gets better performance than other evolutionary reconstruction tools. Users could use HPTree for reonstructing evolutioanry trees on the computer clusters or cloud platform (eg. Amazon Cloud). HPTree could help on population evolution research and metagenomics analysis. In this paper, we employ the Hadoop and Spark platform and design an evolutionary tree reconstruction software tool for unaligned massive DNA sequences. Clustering and multiple sequence alignment are done in parallel. Neighbour-joining model was employed for the evolutionary tree building. We opened our software together with source codes via http://lab.malab.cn/soft/HPtree/ .
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.
Kumar, Sudhir; Stecher, Glen; Li, Michael; Knyaz, Christina; Tamura, Koichiro
2018-06-01
The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
Eco-Evo PVAs: Incorporating Eco-Evolutionary Processes into Population Viability Models
We synthesize how advances in computational methods and population genomics can be combined within an Ecological-Evolutionary (Eco-Evo) PVA model. Eco-Evo PVA models are powerful new tools for understanding the influence of evolutionary processes on plant and animal population pe...
ICCE/ICCAI 2000 Full & Short Papers (Artificial Intelligence in Education).
ERIC Educational Resources Information Center
2000
This document contains the full and short papers on artificial intelligence in education from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: a computational model for learners' motivation states in individualized tutoring system; a…
ICCE/ICCAI 2000 Full & Short Papers (Student Modeling).
ERIC Educational Resources Information Center
2000
This document contains the following full and short papers on student modeling from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction): (1) "A Computational Model for Learner's Motivation States in Individualized Tutoring System" (Behrouz H. Far and Anete H.…
USDA-ARS?s Scientific Manuscript database
Horizontal gene transfer (HGT), the exchange and stable integration of genetic material between different evolutionary lineages, is widely observed in fungi. We hypothesize that successful stabilization of HGT elements provides adaptive advantages (e.g., virulence). Catalase/peroxidases (KatGs) are ...
ISMB Conference Funding to Support Attendance of Early Researchers and Students
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gaasterland, Terry
ISMB Conference Funding for Students and Young Scientists Historical Description The Intelligent Systems for Molecular Biology (ISMB) conference has provided a general forum for disseminating the latest developments in bioinformatics on an annual basis for the past 22 years. ISMB is a multidisciplinary conference that brings together scientists from computer science, molecular biology, mathematics and statistics. The goal of the ISMB meeting is to bring together biologists and computational scientists in a focus on actual biological problems, i.e., not simply theoretical calculations. The combined focus on “intelligent systems” and actual biological data makes ISMB a unique and highly important meeting.more » 21 years of experience in holding the conference has resulted in a consistently well-organized, well attended, and highly respected annual conference. "Intelligent systems" include any software which goes beyond straightforward, closed-form algorithms or standard database technologies, and encompasses those that view data in a symbolic fashion, learn from examples, consolidate multiple levels of abstraction, or synthesize results to be cognitively tractable to a human, including the development and application of advanced computational methods for biological problems. Relevant computational techniques include, but are not limited to: machine learning, pattern recognition, knowledge representation, databases, combinatorics, stochastic modeling, string and graph algorithms, linguistic methods, robotics, constraint satisfaction, and parallel computation. Biological areas of interest include molecular structure, genomics, molecular sequence analysis, evolution and phylogenetics, molecular interactions, metabolic pathways, regulatory networks, developmental control, and molecular biology generally. Emphasis is placed on the validation of methods using real data sets, on practical applications in the biological sciences, and on development of novel computational techniques. The ISMB conferences are distinguished from many other conferences in computational biology or artificial intelligence by an insistence that the researchers work with real molecular biology data, not theoretical or toy examples; and from many other biological conferences by providing a forum for technical advances as they occur, which otherwise may be shunned until a firm experimental result is published. The resulting intellectual richness and cross-disciplinary diversity provides an important opportunity for both students and senior researchers. ISMB has become the premier conference series in this field with refereed, published proceedings, establishing an infrastructure to promote the growing body of research.« less
Sagot, Marie-France; McKay, B.J. Morrison; Myers, Gene
2009-01-01
The International Society for Computational Biology (ISCB; http://www.iscb.org) presents the Seventeenth Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), organized jointly with the Eighth Annual European Conference on Computational Biology (ECCB; http://bioinf.mpi-inf.mpg.de/conferences/eccb/eccb.htm), in Stockholm, Sweden, 27 June to 2 July 2009. The organizers are putting the finishing touches on the year's premier computational biology conference, with an expected attendance of 1400 computer scientists, mathematicians, statisticians, biologists and scientists from other disciplines related to and reliant on this multi-disciplinary science. ISMB/ECCB 2009 (http://www.iscb.org/ismbeccb2009/) follows the framework introduced at the ISMB/ECCB 2007 (http://www.iscb.org/ismbeccb2007/) in Vienna, and further refined at the ISMB 2008 (http://www.iscb.org/ismb2008/) in Toronto; a framework developed to specifically encourage increased participation from often under-represented disciplines at conferences on computational biology. During the main ISMB conference dates of 29 June to 2 July, keynote talks from highly regarded scientists, including ISCB Award winners, are the featured presentations that bring all attendees together twice a day. The remainder of each day offers a carefully balanced selection of parallel sessions to choose from: proceedings papers, special sessions on emerging topics, highlights of the past year's published research, special interest group meetings, technology demonstrations, workshops and several unique sessions of value to the broad audience of students, faculty and industry researchers. Several hundred posters displayed for the duration of the conference has become a standard of the ISMB and ECCB conference series, and an extensive commercial exhibition showcases the latest bioinformatics publications, software, hardware and services available on the market today. The main conference is preceded by 2 days of Special Interest Group (SIG) and Satellite meetings running in parallel to the fifth Student Council Symposium on 27 June, and in parallel to Tutorials on 28 June. All scientific sessions take place at the Stockholmsmässan/Stockholm International Fairs conference and exposition facility. Contact: bj@iscb.org PMID:19447790
NASA Astrophysics Data System (ADS)
Okanoya, Kazuo
2014-09-01
The comparative computational approach of Fitch [1] attempts to renew the classical David Marr paradigm of computation, algorithm, and implementation, by introducing evolutionary view of the relationship between neural architecture and cognition. This comparative evolutionary view provides constraints useful in narrowing down the problem space for both cognition and neural mechanisms. I will provide two examples from our own studies that reinforce and extend Fitch's proposal.
Evolution of intrinsic disorder in eukaryotic proteins.
Ahrens, Joseph B; Nunez-Castilla, Janelle; Siltberg-Liberles, Jessica
2017-09-01
Conformational flexibility conferred though regions of intrinsic structural disorder allows proteins to behave as dynamic molecules. While it is well-known that intrinsically disordered regions can undergo disorder-to-order transitions in real-time as part of their function, we also are beginning to learn more about the dynamics of disorder-to-order transitions along evolutionary time-scales. Intrinsically disordered regions endow proteins with functional promiscuity, which is further enhanced by the ability of some of these regions to undergo real-time disorder-to-order transitions. Disorder content affects gene retention after whole genome duplication, but it is not necessarily conserved. Altered patterns of disorder resulting from evolutionary disorder-to-order transitions indicate that disorder evolves to modify function through refining stability, regulation, and interactions. Here, we review the evolution of intrinsically disordered regions in eukaryotic proteins. We discuss the interplay between secondary structure and disorder on evolutionary time-scales, the importance of disorder for eukaryotic proteome expansion and functional divergence, and the evolutionary dynamics of disorder.
Diminishing-returns epistasis decreases adaptability along an evolutionary trajectory.
Wünsche, Andrea; Dinh, Duy M; Satterwhite, Rebecca S; Arenas, Carolina Diaz; Stoebel, Daniel M; Cooper, Tim F
2017-03-01
Populations evolving in constant environments exhibit declining adaptability. Understanding the basis of this pattern could reveal underlying processes determining the repeatability of evolutionary outcomes. In principle, declining adaptability can be due to a decrease in the effect size of beneficial mutations, a decrease in the rate at which they occur, or some combination of both. By evolving Escherichia coli populations started from different steps along a single evolutionary trajectory, we show that declining adaptability is best explained by a decrease in the size of available beneficial mutations. This pattern reflected the dominant influence of negative genetic interactions that caused new beneficial mutations to confer smaller benefits in fitter genotypes. Genome sequencing revealed that starting genotypes that were more similar to one another did not exhibit greater similarity in terms of new beneficial mutations, supporting the view that epistasis acts globally, having a greater influence on the effect than on the identity of available mutations along an adaptive trajectory. Our findings provide support for a general mechanism that leads to predictable phenotypic evolutionary trajectories.
ICCE/ICCAI 2000 Full & Short Papers (Web-Based Learning).
ERIC Educational Resources Information Center
2000
This document contains full and short papers on World Wide Web-based learning from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction). Topics covered include: design and development of CAL (Computer Assisted Learning) systems; design and development of WBI (Web-Based…
ERIC Educational Resources Information Center
Association for the Development of Computer-based Instructional Systems.
These proceedings include papers on such topics as authoring systems, computer-managed instruction, testing, instructional design, management education, simulations, intelligent computer-assisted instruction, and other areas related to computer-based education. Fifty-six papers and 104 abstracts are organized by Association for the Development of…
Designing Asynchronous, Text-Based Computer Conferences: Ten Research-Based Suggestions
ERIC Educational Resources Information Center
Choitz, Paul; Lee, Doris
2006-01-01
Asynchronous computer conferencing refers to the use of computer software and a network enabling participants to post messages that allow discourse to continue even though interactions may be extended over days and weeks. Asynchronous conferences are time-independent, adapting to multiple time zones and learner schedules. Such activities as…
Learning Evolution and the Nature of Science Using Evolutionary Computing and Artificial Life
ERIC Educational Resources Information Center
Pennock, Robert T.
2007-01-01
Because evolution in natural systems happens so slowly, it is difficult to design inquiry-based labs where students can experiment and observe evolution in the way they can when studying other phenomena. New research in evolutionary computation and artificial life provides a solution to this problem. This paper describes a new A-Life software…
A Novel Handwritten Letter Recognizer Using Enhanced Evolutionary Neural Network
NASA Astrophysics Data System (ADS)
Mahmoudi, Fariborz; Mirzashaeri, Mohsen; Shahamatnia, Ehsan; Faridnia, Saed
This paper introduces a novel design for handwritten letter recognition by employing a hybrid back-propagation neural network with an enhanced evolutionary algorithm. Feeding the neural network consists of a new approach which is invariant to translation, rotation, and scaling of input letters. Evolutionary algorithm is used for the global search of the search space and the back-propagation algorithm is used for the local search. The results have been computed by implementing this approach for recognizing 26 English capital letters in the handwritings of different people. The computational results show that the neural network reaches very satisfying results with relatively scarce input data and a promising performance improvement in convergence of the hybrid evolutionary back-propagation algorithms is exhibited.
Using concepts from biology to improve problem-solving methods
NASA Astrophysics Data System (ADS)
Goodman, Erik D.; Rothwell, Edward J.; Averill, Ronald C.
2011-06-01
Observing nature has been a cornerstone of engineering design. Today, engineers look not only at finished products, but imitate the evolutionary process by which highly optimized artifacts have appeared in nature. Evolutionary computation began by capturing only the simplest ideas of evolution, but today, researchers study natural evolution and incorporate an increasing number of concepts in order to evolve solutions to complex engineering problems. At the new BEACON Center for the Study of Evolution in Action, studies in the lab and field and in silico are laying the groundwork for new tools for evolutionary engineering design. This paper, which accompanies a keynote address, describes various steps in development and application of evolutionary computation, particularly as regards sensor design, and sets the stage for future advances.
ERIC Educational Resources Information Center
Smith, Peter, Ed.
Papers from a conference on small college computing issues are: "An On-line Microcomputer Course for Pre-service Teachers" (Mary K. Abkemeier); "The Mathematics and Computer Science Learning Center (MLC)" (Solomon T. Abraham); "Multimedia for the Non-Computer Science Faculty Member" (Stephen T. Anderson, Sr.); "Achieving Continuous Improvement:…
DOE Office of Scientific and Technical Information (OSTI.GOV)
None, None
The Second SIAM Conference on Computational Science and Engineering was held in San Diego from February 10-12, 2003. Total conference attendance was 553. This is a 23% increase in attendance over the first conference. The focus of this conference was to draw attention to the tremendous range of major computational efforts on large problems in science and engineering, to promote the interdisciplinary culture required to meet these large-scale challenges, and to encourage the training of the next generation of computational scientists. Computational Science & Engineering (CS&E) is now widely accepted, along with theory and experiment, as a crucial third modemore » of scientific investigation and engineering design. Aerospace, automotive, biological, chemical, semiconductor, and other industrial sectors now rely on simulation for technical decision support. For federal agencies also, CS&E has become an essential support for decisions on resources, transportation, and defense. CS&E is, by nature, interdisciplinary. It grows out of physical applications and it depends on computer architecture, but at its heart are powerful numerical algorithms and sophisticated computer science techniques. From an applied mathematics perspective, much of CS&E has involved analysis, but the future surely includes optimization and design, especially in the presence of uncertainty. Another mathematical frontier is the assimilation of very large data sets through such techniques as adaptive multi-resolution, automated feature search, and low-dimensional parameterization. The themes of the 2003 conference included, but were not limited to: Advanced Discretization Methods; Computational Biology and Bioinformatics; Computational Chemistry and Chemical Engineering; Computational Earth and Atmospheric Sciences; Computational Electromagnetics; Computational Fluid Dynamics; Computational Medicine and Bioengineering; Computational Physics and Astrophysics; Computational Solid Mechanics and Materials; CS&E Education; Meshing and Adaptivity; Multiscale and Multiphysics Problems; Numerical Algorithms for CS&E; Discrete and Combinatorial Algorithms for CS&E; Inverse Problems; Optimal Design, Optimal Control, and Inverse Problems; Parallel and Distributed Computing; Problem-Solving Environments; Software and Wddleware Systems; Uncertainty Estimation and Sensitivity Analysis; and Visualization and Computer Graphics.« less
Evolutionary Computation for the Identification of Emergent Behavior in Autonomous Systems
NASA Technical Reports Server (NTRS)
Terrile, Richard J.; Guillaume, Alexandre
2009-01-01
Over the past several years the Center for Evolutionary Computation and Automated Design at the Jet Propulsion Laboratory has developed a technique based on Evolutionary Computational Methods (ECM) that allows for the automated optimization of complex computationally modeled systems. An important application of this technique is for the identification of emergent behaviors in autonomous systems. Mobility platforms such as rovers or airborne vehicles are now being designed with autonomous mission controllers that can find trajectories over a solution space that is larger than can reasonably be tested. It is critical to identify control behaviors that are not predicted and can have surprising results (both good and bad). These emergent behaviors need to be identified, characterized and either incorporated into or isolated from the acceptable range of control characteristics. We use cluster analysis of automatically retrieved solutions to identify isolated populations of solutions with divergent behaviors.
Bañares, Miguel A; Haase, Andrea; Tran, Lang; Lobaskin, Vladimir; Oberdörster, Günter; Rallo, Robert; Leszczynski, Jerzy; Hoet, Peter; Korenstein, Rafi; Hardy, Barry; Puzyn, Tomasz
2017-09-01
A first European Conference on Computational Nanotoxicology, CompNanoTox, was held in November 2015 in Benahavís, Spain with the objectives to disseminate and integrate results from the European modeling and database projects (NanoPUZZLES, ModENPTox, PreNanoTox, MembraneNanoPart, MODERN, eNanoMapper and EU COST TD1204 MODENA) as well as to create synergies within the European NanoSafety Cluster. This conference was supported by the COST Action TD1204 MODENA on developing computational methods for toxicological risk assessment of engineered nanoparticles and provided a unique opportunity for cross fertilization among complementary disciplines. The efforts to develop and validate computational models crucially depend on high quality experimental data and relevant assays which will be the basis to identify relevant descriptors. The ambitious overarching goal of this conference was to promote predictive nanotoxicology, which can only be achieved by a close collaboration between the computational scientists (e.g. database experts, modeling experts for structure, (eco) toxicological effects, performance and interaction of nanomaterials) and experimentalists from different areas (in particular toxicologists, biologists, chemists and material scientists, among others). The main outcome and new perspectives of this conference are summarized here.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bañares, Miguel A.; Haase, Andrea; Tran, Lang
A first European Conference on Computational Nanotoxicology, CompNanoTox, was held in November 2015 in Benahavís, Spain with the objectives to disseminate and integrate results from the European modeling and database projects (NanoPUZZLES, ModENPTox, PreNanoTox, MembraneNanoPart, MODERN, eNanoMapper and EU COST TD1204 MODENA) as well as to create synergies within the European NanoSafety Cluster. This conference was supported by the COST Action TD1204 MODENA on developing computational methods for toxicological risk assessment of engineered nanoparticles and provided a unique opportunity for crossfertilization among complementary disciplines. The efforts to develop and validate computational models crucially depend on high quality experimental data andmore » relevant assays which will be the basis to identify relevant descriptors. The ambitious overarching goal of this conference was to promote predictive nanotoxicology, which can only be achieved by a close collaboration between the computational scientists (e.g. database experts, modeling experts for structure, (eco) toxicological effects, performance and interaction of nanomaterials) and experimentalists from different areas (in particular toxicologists, biologists, chemists and material scientists, among others). The main outcome and new perspectives of this conference are summarized here.« less
Exploring Evolutionary Patterns in Genetic Sequence: A Computer Exercise
ERIC Educational Resources Information Center
Shumate, Alice M.; Windsor, Aaron J.
2010-01-01
The increase in publications presenting molecular evolutionary analyses and the availability of comparative sequence data through resources such as NCBI's GenBank underscore the necessity of providing undergraduates with hands-on sequence analysis skills in an evolutionary context. This need is particularly acute given that students have been…
Spirov, Alexander; Holloway, David
2013-07-15
This paper surveys modeling approaches for studying the evolution of gene regulatory networks (GRNs). Modeling of the design or 'wiring' of GRNs has become increasingly common in developmental and medical biology, as a means of quantifying gene-gene interactions, the response to perturbations, and the overall dynamic motifs of networks. Drawing from developments in GRN 'design' modeling, a number of groups are now using simulations to study how GRNs evolve, both for comparative genomics and to uncover general principles of evolutionary processes. Such work can generally be termed evolution in silico. Complementary to these biologically-focused approaches, a now well-established field of computer science is Evolutionary Computations (ECs), in which highly efficient optimization techniques are inspired from evolutionary principles. In surveying biological simulation approaches, we discuss the considerations that must be taken with respect to: (a) the precision and completeness of the data (e.g. are the simulations for very close matches to anatomical data, or are they for more general exploration of evolutionary principles); (b) the level of detail to model (we proceed from 'coarse-grained' evolution of simple gene-gene interactions to 'fine-grained' evolution at the DNA sequence level); (c) to what degree is it important to include the genome's cellular context; and (d) the efficiency of computation. With respect to the latter, we argue that developments in computer science EC offer the means to perform more complete simulation searches, and will lead to more comprehensive biological predictions. Copyright © 2013 Elsevier Inc. All rights reserved.
Sixth New Zealand Computer Conference (Auckland 78). Volume I, Papers.
ERIC Educational Resources Information Center
New Zealand Computer Society, Auckland.
This collection of conference presentations includes 23 papers on a variety of topics pertaining to the use of computer in New Zealand. Among the topics discussed are computer science techniques in a commercial data processing situation, data processing personnel and their careers, the communication aspects of an airline system, implementation of…
ERIC Educational Resources Information Center
Murphy, Harry J.
Twenty-seven papers are presented from a conference on applications of computer technology for disabled persons. The following titles and authors are represented: "Computer Applications For Rehabilitation Organizations: Finding What You Need" (T. Backer); "Similarities In Cognitive Development Of Severely Physically Handicapped and Younger Regular…
NASA Astrophysics Data System (ADS)
von der Heyden, Sophie
2017-03-01
Anthropogenic activities are having devastating impacts on marine systems with numerous knock-on effects on trophic functioning, species interactions and an accelerated loss of biodiversity. Establishing conservation areas can not only protect biodiversity, but also confer resilience against changes to coral reefs and their inhabitants. Planning for protection and conservation in marine systems is complex, but usually focuses on maintaining levels of biodiversity and protecting special and unique landscape features while avoiding negative impacts to socio-economic benefits. Conversely, the integration of evolutionary processes that have shaped extant species assemblages is rarely taken into account. However, it is as important to protect processes as it is to protect patterns for maintaining the evolutionary trajectories of populations and species. This review focuses on different approaches for integrating genetic analyses, such as phylogenetic diversity, phylogeography and the delineation of management units, temporal and spatial monitoring of genetic diversity and quantification of adaptive variation for protecting evolutionary resilience, into marine spatial planning, specifically for coral reef fishes. Many of these concepts are not yet readily applied to coral reef fish studies, but this synthesis highlights their potential and the importance of including historical processes into systematic biodiversity planning for conserving not only extant, but also future, biodiversity and its evolutionary potential.
Summary of talks and papers at ISCB-Asia/SCCG 2012
2013-01-01
The second ISCB-Asia conference of the International Society for Computational Biology took place December 17-19, 2012, in Shenzhen, China. The conference was co-hosted by BGI as the first Shenzhen Conference on Computational Genomics (SCCG). 45 talks were presented at ISCB-Asia/SCCG 2012. The topics covered included software tools, reproducible computing, next-generation sequencing data analysis, transcription and mRNA regulation, protein structure and function, cancer genomics and personalized medicine. Nine of the proceedings track talks are included as full papers in this supplement. In this report we first give a short overview of the conference by listing some statistics and visualizing the talk abstracts as word clouds. Then we group the talks by topic and briefly summarize each one, providing references to related publications whenever possible. Finally, we close with a few comments on the success of this conference.
Inference of Evolutionary Jumps in Large Phylogenies using Lévy Processes
Duchen, Pablo; Leuenberger, Christoph; Szilágyi, Sándor M.; Harmon, Luke; Eastman, Jonathan; Schweizer, Manuel
2017-01-01
Abstract Although it is now widely accepted that the rate of phenotypic evolution may not necessarily be constant across large phylogenies, the frequency and phylogenetic position of periods of rapid evolution remain unclear. In his highly influential view of evolution, G. G. Simpson supposed that such evolutionary jumps occur when organisms transition into so-called new adaptive zones, for instance after dispersal into a new geographic area, after rapid climatic changes, or following the appearance of an evolutionary novelty. Only recently, large, accurate and well calibrated phylogenies have become available that allow testing this hypothesis directly, yet inferring evolutionary jumps remains computationally very challenging. Here, we develop a computationally highly efficient algorithm to accurately infer the rate and strength of evolutionary jumps as well as their phylogenetic location. Following previous work we model evolutionary jumps as a compound process, but introduce a novel approach to sample jump configurations that does not require matrix inversions and thus naturally scales to large trees. We then make use of this development to infer evolutionary jumps in Anolis lizards and Loriinii parrots where we find strong signal for such jumps at the basis of clades that transitioned into new adaptive zones, just as postulated by Simpson’s hypothesis. [evolutionary jump; Lévy process; phenotypic evolution; punctuated equilibrium; quantitative traits. PMID:28204787
USDA-ARS?s Scientific Manuscript database
Genomic-assisted breeding and transgenic approaches to crop improvement are presently targeting phenotypic traits that allegedly confer drought tolerance. A news feature published in Nature Biotechnology last year suggests that these efforts may not be proceeding with sufficient haste, considering t...
Open Reading Frame Phylogenetic Analysis on the Cloud
2013-01-01
Phylogenetic analysis has become essential in researching the evolutionary relationships between viruses. These relationships are depicted on phylogenetic trees, in which viruses are grouped based on sequence similarity. Viral evolutionary relationships are identified from open reading frames rather than from complete sequences. Recently, cloud computing has become popular for developing internet-based bioinformatics tools. Biocloud is an efficient, scalable, and robust bioinformatics computing service. In this paper, we propose a cloud-based open reading frame phylogenetic analysis service. The proposed service integrates the Hadoop framework, virtualization technology, and phylogenetic analysis methods to provide a high-availability, large-scale bioservice. In a case study, we analyze the phylogenetic relationships among Norovirus. Evolutionary relationships are elucidated by aligning different open reading frame sequences. The proposed platform correctly identifies the evolutionary relationships between members of Norovirus. PMID:23671843
NASA Astrophysics Data System (ADS)
Gen, Mitsuo; Kawakami, Hiroshi; Tsujimura, Yasuhiro; Handa, Hisashi; Lin, Lin; Okamoto, Azuma
As efficient utilization of computational resources is increasing, evolutionary technology based on the Genetic Algorithm (GA), Genetic Programming (GP), Evolution Strategy (ES) and other Evolutionary Computations (ECs) is making rapid progress, and its social recognition and the need as applied technology are increasing. This is explained by the facts that EC offers higher robustness for knowledge information processing systems, intelligent production and logistics systems, most advanced production scheduling and other various real-world problems compared to the approaches based on conventional theories, and EC ensures flexible applicability and usefulness for any unknown system environment even in a case where accurate mathematical modeling fails in the formulation. In this paper, we provide a comprehensive survey of the current state-of-the-art in the fundamentals and applications of evolutionary technologies.
How multi-partner endosymbioses function.
Douglas, Angela E
2016-12-01
Various animals are associated with specific endosymbiotic microorganisms that provide the host with essential nutrients or confer protection against natural enemies. Genomic analyses of the many endosymbioses that are found in plant sap-feeding hemipteran insects have revealed independent acquisitions - and occasional replacements - of endosymbionts, such that many of these endosymbioses involve two or more microbial partners. In this Review, I discuss how partitioning of the genetic capacity for metabolic function between different endosymbionts has sustained nutritional function in multi-partner endosymbioses, and how the phenotypic traits of these endosymbionts can be shaped by co-evolutionary interactions with both co-occurring microbial taxa and the host, which often operate over long evolutionary timescales.
Computationally mapping sequence space to understand evolutionary protein engineering.
Armstrong, Kathryn A; Tidor, Bruce
2008-01-01
Evolutionary protein engineering has been dramatically successful, producing a wide variety of new proteins with altered stability, binding affinity, and enzymatic activity. However, the success of such procedures is often unreliable, and the impact of the choice of protein, engineering goal, and evolutionary procedure is not well understood. We have created a framework for understanding aspects of the protein engineering process by computationally mapping regions of feasible sequence space for three small proteins using structure-based design protocols. We then tested the ability of different evolutionary search strategies to explore these sequence spaces. The results point to a non-intuitive relationship between the error-prone PCR mutation rate and the number of rounds of replication. The evolutionary relationships among feasible sequences reveal hub-like sequences that serve as particularly fruitful starting sequences for evolutionary search. Moreover, genetic recombination procedures were examined, and tradeoffs relating sequence diversity and search efficiency were identified. This framework allows us to consider the impact of protein structure on the allowed sequence space and therefore on the challenges that each protein presents to error-prone PCR and genetic recombination procedures.
The Paradox of Isochrony in the Evolution of Human Rhythm
Ravignani, Andrea; Madison, Guy
2017-01-01
Isochrony is crucial to the rhythm of human music. Some neural, behavioral and anatomical traits underlying rhythm perception and production are shared with a broad range of species. These may either have a common evolutionary origin, or have evolved into similar traits under different evolutionary pressures. Other traits underlying rhythm are rare across species, only found in humans and few other animals. Isochrony, or stable periodicity, is common to most human music, but isochronous behaviors are also found in many species. It appears paradoxical that humans are particularly good at producing and perceiving isochronous patterns, although this ability does not conceivably confer any evolutionary advantage to modern humans. This article will attempt to solve this conundrum. To this end, we define the concept of isochrony from the present functional perspective of physiology, cognitive neuroscience, signal processing, and interactive behavior, and review available evidence on isochrony in the signals of humans and other animals. We then attempt to resolve the paradox of isochrony by expanding an evolutionary hypothesis about the function that isochronous behavior may have had in early hominids. Finally, we propose avenues for empirical research to examine this hypothesis and to understand the evolutionary origin of isochrony in general. PMID:29163252
Have Computer, Will Not Travel: Meeting Electronically.
ERIC Educational Resources Information Center
Kurland, Norman D.
1983-01-01
Beginning with two different scenarios depicting a face-to-face conference on the one hand and, on the other, a computer or electronic conference, the author argues the advantages of electronic conferencing and describes some of its uses. (JBM)
DOE Office of Scientific and Technical Information (OSTI.GOV)
Vigil, M.B.
1995-03-01
This document provides a written compilation of the presentations and viewgraphs from the 1994 Conference on High Speed Computing given at the High Speed Computing Conference, {open_quotes}High Performance Systems,{close_quotes} held at Gleneden Beach, Oregon, on April 18 through 21, 1994.
ICCE/ICCAI 2000 Keynote Papers.
ERIC Educational Resources Information Center
2000
This document contains the four keynote papers from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction). "Using Technologies To Model Student Problem Spaces" (David Jonassen) contrasts examples of semantic network, expert system, and systems modeling…
ERIC Educational Resources Information Center
Martin, C. Dianne, Ed.; Murchie-Beyma, Eric, Ed.
This monograph includes nine papers delivered at a National Educational Computing Conference (NECC) preconference workshop, and a previously unpublished paper on gender and attitudes. The papers, which are presented in four categories, are: (1) "Report on the Workshop: In Search of Gender Free Paradigms for Computer Science Education"…
ERIC Educational Resources Information Center
National Educational Computing Association, Eugene, OR.
This document contains the proceedings of the National Educational Computing Conference (NECC) 2001. The following research papers are included: "UCI Computer Arts: Building Gender Equity While Meeting ISTE NETS" (Kimberly Bisbee Burge); "From Mythology to Technology: Sisyphus Makes the Leap to Learn" (Patricia J. Donohue, Mary…
Cognitive Computational Neuroscience: A New Conference for an Emerging Discipline.
Naselaris, Thomas; Bassett, Danielle S; Fletcher, Alyson K; Kording, Konrad; Kriegeskorte, Nikolaus; Nienborg, Hendrikje; Poldrack, Russell A; Shohamy, Daphna; Kay, Kendrick
2018-05-01
Understanding the computational principles that underlie complex behavior is a central goal in cognitive science, artificial intelligence, and neuroscience. In an attempt to unify these disconnected communities, we created a new conference called Cognitive Computational Neuroscience (CCN). The inaugural meeting revealed considerable enthusiasm but significant obstacles remain. Copyright © 2018 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Ellis, Edwin, Ed.
This volume of proceedings of the 1990 National Educational Computing Conference (NECC) provides a record of the state-of-the-art in the use of computing in a variety of educational settings. Special sessions, panels, projects, 153 abstracts, and 44 papers are reported here on subjects including: elementary and secondary educational software,…
ERIC Educational Resources Information Center
Roehl, Janet E., Ed.
These proceedings provide 30 papers from a conference to highlight a frontier area in serving the disabled--microcomputers--which blends two disciplines, vocational rehabilitation and special education. Keynote addresses are "High Tech/High Touch: Making Good on the Promise" (Fenderson); "Curbcuts and Computers: Providing Access to Computers and…
ERIC Educational Resources Information Center
1983
Delegates to this training computer conference agreed that the scope of economic change is both accelerating and profound and, therefore, will require a wide variety of approaches to human resource development. Training is only a small part of this development. To meet future needs, the conferees discussed and made recommendations in four areas:…
DOE Office of Scientific and Technical Information (OSTI.GOV)
Lyonnais, Marc; Smith, Matt; Mace, Kate P.
SCinet is the purpose-built network that operates during the International Conference for High Performance Computing,Networking, Storage and Analysis (Super Computing or SC). Created each year for the conference, SCinet brings to life a high-capacity network that supports applications and experiments that are a hallmark of the SC conference. The network links the convention center to research and commercial networks around the world. This resource serves as a platform for exhibitors to demonstrate the advanced computing resources of their home institutions and elsewhere by supporting a wide variety of applications. Volunteers from academia, government and industry work together to design andmore » deliver the SCinet infrastructure. Industry vendors and carriers donate millions of dollars in equipment and services needed to build and support the local and wide area networks. Planning begins more than a year in advance of each SC conference and culminates in a high intensity installation in the days leading up to the conference. The SCinet architecture for SC16 illustrates a dramatic increase in participation from the vendor community, particularly those that focus on network equipment. Software-Defined Networking (SDN) and Data Center Networking (DCN) are present in nearly all aspects of the design.« less
Delivering the Benefits of Chemical-Biological Integration in ...
Slide Presentation at the German Cheminformatics Conference on Delivering the Benefits of Chemical-Biological Integration in Computational Toxicology at the EPA. Presentation at the German Cheminformatics Conference on Delivering the Benefits of Chemical-Biological Integration in Computational Toxicology at the EPA.
2011-01-01
The 2011 International Conference on Bioinformatics (InCoB) conference, which is the annual scientific conference of the Asia-Pacific Bioinformatics Network (APBioNet), is hosted by Kuala Lumpur, Malaysia, is co-organized with the first ISCB-Asia conference of the International Society for Computational Biology (ISCB). InCoB and the sequencing of the human genome are both celebrating their tenth anniversaries and InCoB’s goalposts for the next decade, implementing standards in bioinformatics and globally distributed computational networks, will be discussed and adopted at this conference. Of the 49 manuscripts (selected from 104 submissions) accepted to BMC Genomics and BMC Bioinformatics conference supplements, 24 are featured in this issue, covering software tools, genome/proteome analysis, systems biology (networks, pathways, bioimaging) and drug discovery and design. PMID:22372736
PREFACE: Theory, Modelling and Computational methods for Semiconductors
NASA Astrophysics Data System (ADS)
Migliorato, Max; Probert, Matt
2010-04-01
These conference proceedings contain the written papers of the contributions presented at the 2nd International Conference on: Theory, Modelling and Computational methods for Semiconductors. The conference was held at the St Williams College, York, UK on 13th-15th Jan 2010. The previous conference in this series took place in 2008 at the University of Manchester, UK. The scope of this conference embraces modelling, theory and the use of sophisticated computational tools in Semiconductor science and technology, where there is a substantial potential for time saving in R&D. The development of high speed computer architectures is finally allowing the routine use of accurate methods for calculating the structural, thermodynamic, vibrational and electronic properties of semiconductors and their heterostructures. This workshop ran for three days, with the objective of bringing together UK and international leading experts in the field of theory of group IV, III-V and II-VI semiconductors together with postdocs and students in the early stages of their careers. The first day focused on providing an introduction and overview of this vast field, aimed particularly at students at this influential point in their careers. We would like to thank all participants for their contribution to the conference programme and these proceedings. We would also like to acknowledge the financial support from the Institute of Physics (Computational Physics group and Semiconductor Physics group), the UK Car-Parrinello Consortium, Accelrys (distributors of Materials Studio) and Quantumwise (distributors of Atomistix). The Editors Acknowledgements Conference Organising Committee: Dr Matt Probert (University of York) and Dr Max Migliorato (University of Manchester) Programme Committee: Dr Marco Califano (University of Leeds), Dr Jacob Gavartin (Accelrys Ltd, Cambridge), Dr Stanko Tomic (STFC Daresbury Laboratory), Dr Gabi Slavcheva (Imperial College London) Proceedings edited and compiled by Dr Max Migliorato and Dr Matt Probert
Mechanisms of bacterial morphogenesis: evolutionary cell biology approaches provide new insights.
Jiang, Chao; Caccamo, Paul D; Brun, Yves V
2015-04-01
How Darwin's "endless forms most beautiful" have evolved remains one of the most exciting questions in biology. The significant variety of bacterial shapes is most likely due to the specific advantages they confer with respect to the diverse environments they occupy. While our understanding of the mechanisms generating relatively simple shapes has improved tremendously in the last few years, the molecular mechanisms underlying the generation of complex shapes and the evolution of shape diversity are largely unknown. The emerging field of bacterial evolutionary cell biology provides a novel strategy to answer this question in a comparative phylogenetic framework. This relatively novel approach provides hypotheses and insights into cell biological mechanisms, such as morphogenesis, and their evolution that would have been difficult to obtain by studying only model organisms. We discuss the necessary steps, challenges, and impact of integrating "evolutionary thinking" into bacterial cell biology in the genomic era. © 2015 WILEY Periodicals, Inc.
Relative size predicts competitive outcome through 2 million years.
Liow, Lee Hsiang; Di Martino, Emanuela; Krzeminska, Malgorzata; Ramsfjell, Mali; Rust, Seabourne; Taylor, Paul D; Voje, Kjetil L
2017-08-01
Competition is an important biotic interaction that influences survival and reproduction. While competition on ecological timescales has received great attention, little is known about competition on evolutionary timescales. Do competitive abilities change over hundreds of thousands to millions of years? Can we predict competitive outcomes using phenotypic traits? How much do traits that confer competitive advantage and competitive outcomes change? Here we show, using communities of encrusting marine bryozoans spanning more than 2 million years, that size is a significant determinant of overgrowth outcomes: colonies with larger zooids tend to overgrow colonies with smaller zooids. We also detected temporally coordinated changes in average zooid sizes, suggesting that different species responded to a common external driver. Although species-specific average zooid sizes change over evolutionary timescales, species-specific competitive abilities seem relatively stable, suggesting that traits other than zooid size also control overgrowth outcomes and/or that evolutionary constraints are involved. © 2017 John Wiley & Sons Ltd/CNRS.
Computer conferencing: the "nurse" in the "Electronic School District".
Billings, D M; Phillips, A
1991-01-01
As computer-based instructional technologies become increasingly available, they offer new mechanisms for health educators to provide health instruction. This article describes a pilot project in which nurses established a computer conference to provide health instruction to high school students participating in an electronic link of high schools. The article discusses computer conferencing, the "Electronic School District," the design of the nursing conference, and the role of the nurse in distributed health education.
ERIC Educational Resources Information Center
Douglass, Malcolm P., Ed.
The articles in this collection approach the theme of "Reading in the Age of the Computer" in a variety of ways. Topics covered in the 26 articles include the following: (1) children, school, and computers; (2) new kinds of electronic learning environments; (3) the personal computer for creative learning and thinking; (4) going beyond…
ERIC Educational Resources Information Center
Educational Computing Organization of Ontario, Toronto.
The 88 papers included in this publication are organized into seven groupings used as themes in the conference, "Computing Knows No Borders." The topics are: Administration (12 papers); Computer Studies (13 papers); Educational Tools (10 papers); Logo (7 papers); Software (9 papers); Special Education (8 papers); and Teaching (16…
ERIC Educational Resources Information Center
Dalton, David W., Ed.
The theme of the 32nd International Association for the Development of Computer-Based Instructional Systems (ADCIS) Conference was "Restructuring Training and Education through Technology." This collection of conference presentations contains 52 papers and 183 abstracts for which there are no formal papers. The papers and abstracts are presented…
ERIC Educational Resources Information Center
Smith, Peter, Ed.
Papers from a conference on small college computing issues are: "Ethics, Privacy, and Security in Higher Education Technology" (John A. Anderson); "Multimedia in the Classroom: Recollections After Two Years" (Stephen T. Anderson Sr.); "Creating a Computer Competency Requirement for Mary Washington College Students" (David J. Ayersman, Ernest C.…
ERIC Educational Resources Information Center
Stentz, Michael, Ed.; Motsinger, Linda, Ed.
Topics which range from the more popular computing applications in accounting, statistics, and administration to the less ordinary applications of the computer to the fields of fine arts, medicine, and linguistics, are discussed in this collection of 22 conference papers. The papers are divided into four tracks: the first deals with statistical…
ERIC Educational Resources Information Center
Lesgold, Alan M., Ed.; Reif, Frederick, Ed.
The full proceedings are provided here of a conference of 40 teachers, educational researchers, and scientists from both the public and private sectors that centered on the future of computers in education and the research required to realize the computer's educational potential. A summary of the research issues considered and suggested means for…
ERIC Educational Resources Information Center
Petrushin, V., Ed.; Dovgiallo, A., Ed.
The conference reported in this document provides a meeting place for researchers from around the world, where the emphasis is on new ideas connected to computer technologies in education. This volume contains 140 extended abstracts selected by the program committee and organized into the following categories: (1) educational informational…
Stochastic Evolutionary Algorithms for Planning Robot Paths
NASA Technical Reports Server (NTRS)
Fink, Wolfgang; Aghazarian, Hrand; Huntsberger, Terrance; Terrile, Richard
2006-01-01
A computer program implements stochastic evolutionary algorithms for planning and optimizing collision-free paths for robots and their jointed limbs. Stochastic evolutionary algorithms can be made to produce acceptably close approximations to exact, optimal solutions for path-planning problems while often demanding much less computation than do exhaustive-search and deterministic inverse-kinematics algorithms that have been used previously for this purpose. Hence, the present software is better suited for application aboard robots having limited computing capabilities (see figure). The stochastic aspect lies in the use of simulated annealing to (1) prevent trapping of an optimization algorithm in local minima of an energy-like error measure by which the fitness of a trial solution is evaluated while (2) ensuring that the entire multidimensional configuration and parameter space of the path-planning problem is sampled efficiently with respect to both robot joint angles and computation time. Simulated annealing is an established technique for avoiding local minima in multidimensional optimization problems, but has not, until now, been applied to planning collision-free robot paths by use of low-power computers.
Proceedings of the 3rd Annual Conference on Aerospace Computational Control, volume 1
NASA Technical Reports Server (NTRS)
Bernard, Douglas E. (Editor); Man, Guy K. (Editor)
1989-01-01
Conference topics included definition of tool requirements, advanced multibody component representation descriptions, model reduction, parallel computation, real time simulation, control design and analysis software, user interface issues, testing and verification, and applications to spacecraft, robotics, and aircraft.
Biomimetic design processes in architecture: morphogenetic and evolutionary computational design.
Menges, Achim
2012-03-01
Design computation has profound impact on architectural design methods. This paper explains how computational design enables the development of biomimetic design processes specific to architecture, and how they need to be significantly different from established biomimetic processes in engineering disciplines. The paper first explains the fundamental difference between computer-aided and computational design in architecture, as the understanding of this distinction is of critical importance for the research presented. Thereafter, the conceptual relation and possible transfer of principles from natural morphogenesis to design computation are introduced and the related developments of generative, feature-based, constraint-based, process-based and feedback-based computational design methods are presented. This morphogenetic design research is then related to exploratory evolutionary computation, followed by the presentation of two case studies focusing on the exemplary development of spatial envelope morphologies and urban block morphologies.
Inference of Evolutionary Jumps in Large Phylogenies using Lévy Processes.
Duchen, Pablo; Leuenberger, Christoph; Szilágyi, Sándor M; Harmon, Luke; Eastman, Jonathan; Schweizer, Manuel; Wegmann, Daniel
2017-11-01
Although it is now widely accepted that the rate of phenotypic evolution may not necessarily be constant across large phylogenies, the frequency and phylogenetic position of periods of rapid evolution remain unclear. In his highly influential view of evolution, G. G. Simpson supposed that such evolutionary jumps occur when organisms transition into so-called new adaptive zones, for instance after dispersal into a new geographic area, after rapid climatic changes, or following the appearance of an evolutionary novelty. Only recently, large, accurate and well calibrated phylogenies have become available that allow testing this hypothesis directly, yet inferring evolutionary jumps remains computationally very challenging. Here, we develop a computationally highly efficient algorithm to accurately infer the rate and strength of evolutionary jumps as well as their phylogenetic location. Following previous work we model evolutionary jumps as a compound process, but introduce a novel approach to sample jump configurations that does not require matrix inversions and thus naturally scales to large trees. We then make use of this development to infer evolutionary jumps in Anolis lizards and Loriinii parrots where we find strong signal for such jumps at the basis of clades that transitioned into new adaptive zones, just as postulated by Simpson's hypothesis. [evolutionary jump; Lévy process; phenotypic evolution; punctuated equilibrium; quantitative traits. The Author(s) 2017. Published by Oxford University Press, on behalf of the Society of Systematic Biologists.
ERIC Educational Resources Information Center
Yasumoto, Seiko
2014-01-01
"Blended learning" has been attracting academic interest catalysed by the advance of mixed-media technology and has significance for the global educational community and evolutionary development of pedagogical approaches to optimise student learning. This paper examines one aspect of blended teaching of Japanese language and culture in…
The Influence of Darwin on Evolutionary Algorithms from "Dinner with Darwin"
ERIC Educational Resources Information Center
Overbye, David L.
2009-01-01
The "Dinner with Darwin" event held at the National Association of Biology Teachers Conference over several successive years represented an innovative forum for exploring the ways that the work of Charles Darwin has had an impact in fields quite far removed from biology. Through a wide-ranging discussion by panel participants, drawn from a number…
Meeting report for mobile DNA 2010.
Chaconas, George; Craig, Nancy; Curcio, M Joan; Deininger, Prescott; Feschotte, Cedric; Levin, Henry; Rice, Phoebe A; Voytas, Daniel F
2010-08-24
An international conference on mobile DNA was held 24-28 April 2010 in Montreal, Canada. Sponsored by the American Society for Microbiology, the conference's goal was to bring together researchers from around the world who study transposition in diverse organisms using multiple experimental approaches. The meeting drew over 190 attendees and most contributed through poster presentations, invited talks and short talks selected from poster abstracts. The talks were organized into eight scientific sessions, which ranged in topic from the evolutionary dynamics of mobile genetic elements to transposition reaction mechanisms. Here we present highlights from the platform sessions with a focus on talks presented by the invited speakers.
Big cat phylogenies, consensus trees, and computational thinking.
Sul, Seung-Jin; Williams, Tiffani L
2011-07-01
Phylogenetics seeks to deduce the pattern of relatedness between organisms by using a phylogeny or evolutionary tree. For a given set of organisms or taxa, there may be many evolutionary trees depicting how these organisms evolved from a common ancestor. As a result, consensus trees are a popular approach for summarizing the shared evolutionary relationships in a group of trees. We examine these consensus techniques by studying how the pantherine lineage of cats (clouded leopard, jaguar, leopard, lion, snow leopard, and tiger) evolved, which is hotly debated. While there are many phylogenetic resources that describe consensus trees, there is very little information, written for biologists, regarding the underlying computational techniques for building them. The pantherine cats provide us with a small, relevant example to explore the computational techniques (such as sorting numbers, hashing functions, and traversing trees) for constructing consensus trees. Our hope is that life scientists enjoy peeking under the computational hood of consensus tree construction and share their positive experiences with others in their community.
ERIC Educational Resources Information Center
Defense Language Inst., Monterey, CA.
Twenty-five conference papers are presented along with the conference agenda, two welcoming speeches, and lists of conference speakers and participants. The conference focused on the use of video and computer technology in foreign language instruction. The individual papers address such topics as: (1) video design and methodology for foreign…
Tamura, Koichiro; Peterson, Daniel; Peterson, Nicholas; Stecher, Glen; Nei, Masatoshi; Kumar, Sudhir
2011-01-01
Comparative analysis of molecular sequence data is essential for reconstructing the evolutionary histories of species and inferring the nature and extent of selective forces shaping the evolution of genes and species. Here, we announce the release of Molecular Evolutionary Genetics Analysis version 5 (MEGA5), which is a user-friendly software for mining online databases, building sequence alignments and phylogenetic trees, and using methods of evolutionary bioinformatics in basic biology, biomedicine, and evolution. The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models (nucleotide or amino acid), inferring ancestral states and sequences (along with probabilities), and estimating evolutionary rates site-by-site. In computer simulation analyses, ML tree inference algorithms in MEGA5 compared favorably with other software packages in terms of computational efficiency and the accuracy of the estimates of phylogenetic trees, substitution parameters, and rate variation among sites. The MEGA user interface has now been enhanced to be activity driven to make it easier for the use of both beginners and experienced scientists. This version of MEGA is intended for the Windows platform, and it has been configured for effective use on Mac OS X and Linux desktops. It is available free of charge from http://www.megasoftware.net. PMID:21546353
MDA-image: an environment of networked desktop computers for teleradiology/pathology.
Moffitt, M E; Richli, W R; Carrasco, C H; Wallace, S; Zimmerman, S O; Ayala, A G; Benjamin, R S; Chee, S; Wood, P; Daniels, P
1991-04-01
MDA-Image, a project of The University of Texas M. D. Anderson Cancer Center, is an environment of networked desktop computers for teleradiology/pathology. Radiographic film is digitized with a film scanner and histopathologic slides are digitized using a red, green, and blue (RGB) video camera connected to a microscope. Digitized images are stored on a data server connected to the institution's computer communication network (Ethernet) and can be displayed from authorized desktop computers connected to Ethernet. Images are digitized for cases presented at the Bone Tumor Management Conference, a multidisciplinary conference in which treatment options are discussed among clinicians, surgeons, radiologists, pathologists, radiotherapists, and medical oncologists. These radiographic and histologic images are shown on a large screen computer monitor during the conference. They are available for later review for follow-up or representation.
[Selected Papers of the EDUCOM Annual Conference, October 1981].
ERIC Educational Resources Information Center
Interuniversity Communications Council (EDUCOM), Princeton, NJ.
This collection of 10 papers from the 1981 conference of the Interuniversity Communications Council (EDUCOM) highlights developments in new communications technologies and their impact on higher education, emphasizing computer usage and telecommunications advancements. Three papers analyzing computer applications to higher education focus on the…
ICCE/ICCAI 2000 Full & Short Papers (Collaborative Learning).
ERIC Educational Resources Information Center
2000
This document contains the full and short papers on collaborative learning from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: comparison of applying Internet to cooperative and traditional learning; a distributed backbone system for…
ICCE/ICCAI 2000 Full & Short Papers (Creative Learning).
ERIC Educational Resources Information Center
2000
This document contains the following full and short papers on creative learning from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction): (1) "A Collaborative Learning Support System Based on Virtual Environment Server for Multiple Agents" (Takashi Ohno, Kenji…
ICCE/ICCAI 2000 Full & Short Papers (Others).
ERIC Educational Resources Information Center
2000
This document contains the following full and short papers from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction): (1) "A Code Restructuring Tool To Help Scaffold Novice Programmers" (Stuart Garner); (2) "An Assessment Framework for Information Technology Integrated…
Can Humans Fly Action Understanding with Multiple Classes of Actors
2015-06-08
recognition using structure from motion point clouds. In European Conference on Computer Vision, 2008. [5] R. Caruana. Multitask learning. Machine Learning...tonomous driving ? the kitti vision benchmark suite. In IEEE Conference on Computer Vision and Pattern Recognition, 2012. [12] L. Gorelick, M. Blank
SciCADE 95: International conference on scientific computation and differential equations
DOE Office of Scientific and Technical Information (OSTI.GOV)
NONE
1995-12-31
This report consists of abstracts from the conference. Topics include algorithms, computer codes, and numerical solutions for differential equations. Linear and nonlinear as well as boundary-value and initial-value problems are covered. Various applications of these problems are also included.
A future for systems and computational neuroscience in France?
Faugeras, Olivier; Frégnac, Yves; Samuelides, Manuel
2007-01-01
This special issue of the Journal of Physiology, Paris, is an outcome of NeuroComp'06, the first French conference in Computational Neuroscience. The preparation for this conference, held at Pont-à-Mousson in October 2006, was accompanied by a survey which has resulted in an up-to-date inventory of human resources and labs in France concerned with this emerging new field of research (see team directory in http://neurocomp.risc.cnrs.fr/). This thematic JPP issue gathers some of the key scientific presentations made on the occasion of this first interdisciplinary meeting, which should soon become recognized as a yearly national conference representative of a new scientific community. The present introductory paper presents the general scientific context of the conference and reviews some of the historical and conceptual foundations of Systems and Computational Neuroscience in France.
ERIC Educational Resources Information Center
College and Univ. Computer Users Association, Columbia, SC.
The 36 papers contained in this collection from the College and University Computer Users Conference (CUMREC '93) are grouped under six topic areas. The main subject areas and examples of the topics covered are: (1) computer-based student support systems, including telecounseling and recruiting, a student advising system, the assignment of…
1989-02-01
North American algebraists, in academic mathematics departments, appear to have computer anxiety or computation anxiety . Conferences and...the Heaviside function of S[4,51. H(S)[(p+ Vov] =0 (1) D H(S)[ HRv + Vp = 0 (2) Dt where D 8 a -- = +3- (3) We nondimensionalize the equations by using
ERIC Educational Resources Information Center
Miami-Dade Community Coll., FL.
This book contains 37 papers on computer use in higher education originally presented at a May, 1992, conference of college and university computer users. Most of the papers describe programs or systems implemented at particular institutions and cover the following: systems for career planning, automating purchasing and financial commitments,…
Quantum Optical Implementations of Current Quantum Computing Paradigms
2005-05-01
Conferences and Proceedings: The results were presented at several conferences. These include: 1. M. O. Scully, " Foundations of Quantum Mechanics ", in...applications have revealed a strong connection between the fundamental aspects of quantum mechanics that governs physical systems and the informational...could be solved in polynomial time using quantum computers. Another set of problems where quantum mechanics can carry out computations substantially
24th IUPAP Conference on Computational Physics (2012): Introduction, acknowledgements, program
NASA Astrophysics Data System (ADS)
Baiotti, Luca; Takabe, Hideaki
2013-08-01
Welcome to CCP2012, held next to the K computer site in Kobe and in Japan's best season. The Conference on Computational Physics (CCP) is organized annually under the auspices of Commission 20 of the IUPAP (International Union of Pure and Applied Physics). This is the first time it has been held in Japan. I was asked to be the chairman about two and half years ago and when I accepted the request I decided to make the conference very unique and different from the traditional style of CCP. I was not satisfied when I attended big conferences where the parallel sessions are classified with the name of the research field. These days we have many opportunities to attend domestic and international conferences, where it is possible to listen to many talks on the same topics. If the topics are very new, then the conference is very useful for my research. However, I wanted to have a conference where I could listen to a variety of topics carried out with the same method. Computational science is very unique and it is easy to organize a new type of conference with the classification in the horizontal direction of the matrix made of the names of research fields and the name of numerical methods. You may be able to list the names of methods easily; finite difference, Monte Carlo, particle, molecular dynamics and so on. I was dissatisfied to find that most conferences focus solely on research fields and the method that brings to the scientific research is not highlighted as much. I wanted to listen to topics from fundamental physics to industrial science in a systematic way. In order to create such a conference, a small number of experts is not enough, so I asked for the help of more than 100 Japanese computer scientists, in a variety of fields. We called this group the Japan Advisory Board (JAB). I asked them to recommend a member of the International Advisory Board (IAB). Then, we could start making the list of plenary and invited speakers. This was almost the end of March last year. CCP2012 is organized also to celebrate the shared use of the K computer and we selected a venue next to it. Its use is of course open to the public and started on 28 September, one month earlier than had been scheduled. I hope you also enjoy the guided tour of the K computer. Throughout CCP2012, I hope new collaborations start among scientists in different fields. It would be also my great pleasure if such an inter-disciplinary conference encouraged young scientists (with their fresh energy and skills) to challenge new topics in different fields, particularly emerging ones like bio-computing, industrial applications, social sciences and so on. Finally, allow me to express my sincere thanks to all members of the local organizing committee (LOC). Twenty scientists from three universities and one institute voluntarily worked very hard to prepare CCP2012. Hideaki Takabe (Aki) The Chairman, CCP2012
ICCE/ICCAI 2000 Full & Short Papers (Virtual Lab/Classroom/School).
ERIC Educational Resources Information Center
2000
This document contains the following full and short papers on virtual laboratories, classrooms, and schools from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction): (1) "A Collaborative Learning Support System Based on Virtual Environment Server for Multiple…
Genes, language, cognition, and culture: towards productive inquiry.
Fitch, W Tecumseh
2011-04-01
The Queen Mary conference on “Integrating Genetic and Cultural Evolutionary Approaches to Language,” and the papers in this special issue, clearly illustrate the excitement and potential of trans-disciplinary approaches to language as an evolved biological capacity (phylogeny) and an evolving cultural entity (glossogeny). Excepting the present author, the presenters/authors are mostly young rising stars in their respective fields, and include scientists with backgrounds in linguistics, animal communication, neuroscience, evolutionary biology, anthropology, and computer science. On display was a clear willingness to engage with different approaches and terminology and a commitment to shared standards of scientific rigor, empirically driven theory, and logical argument. Because the papers assembled here, together with the introduction, speak for themselves, I will focus in this “extro-duction” on some of the terminological and conceptual difficulties which threaten to block this exciting wave of scientific progress in understanding language evolution, in both senses of that term. In particular I will first argue against the regrettably widespread practice of opposing cultural and genetic explanations of human cognition as if they were dichotomous. Second, I will unpack the debate concerning “general-purpose” and “domain-specific” mechanisms, which masquerades as a debate about nativism but is nothing of the sort. I believe that framing discussions of language in these terms has generated more heat than light, and that a modern molecular understanding of genes, development, behavior, and evolution renders many of the assumptions underlying this debate invalid.
A comparative test of adaptive hypotheses for sexual size dimorphism in lizards.
Cox, Robert M; Skelly, Stephanie L; John-Alder, Henry B
2003-07-01
It is commonly argued that sexual size dimorphism (SSD) in lizards has evolved in response to two primary, nonexclusive processes: (1) sexual selection for large male size, which confers an advantage in intrasexual mate competition (intrasexual selection hypothesis), and (2) natural selection for large female size, which confers a fecundity advantage (fecundity advantage hypothesis). However, outside of several well-studied lizard genera, the empirical support for these hypotheses has not been examined with appropriate phylogenetic control. We conducted a comparative phylogenetic analysis to test these hypotheses using literature data from 497 lizard populations representing 302 species and 18 families. As predicted by the intrasexual selection hypothesis, male aggression and territoriality are correlated with SSD, but evolutionary shifts in these categorical variables each explain less than 2% of the inferred evolutionary change in SSD. We found stronger correlations between SSD and continuous estimates of intrasexual selection such as male to female home range ratio and female home range size. These results are consistent with the criticism that categorical variables may obscure much of the actual variation in intrasexual selection intensity needed to explain patterns in SSD. In accordance with the fecundity advantage hypothesis, SSD is correlated with clutch size, reproductive frequency, and reproductive mode (but not fecundity slope, reduced major axis estimator of fecundity slope, length of reproductive season, or latitude). However, evolutionary shifts in clutch size explain less than 8% of the associated change in SSD, which also varies significantly in the absence of evolutionary shifts in reproductive frequency and mode. A multiple regression model retained territoriality and clutch size as significant predictors of SSD, but only 16% of the variation in SSD is explained using these variables. Intrasexual selection for large male size and fecundity selection for large female size have undoubtedly helped to shape patterns of SSD across lizards, but the comparative data at present provide only weak support for these hypotheses as general explanations for SSD in this group. Future work would benefit from the consideration of alternatives to these traditional evolutionary hypotheses, and the elucidation of proximate mechanisms influencing growth and SSD within populations.
Regulatory RNA design through evolutionary computation and strand displacement.
Rostain, William; Landrain, Thomas E; Rodrigo, Guillermo; Jaramillo, Alfonso
2015-01-01
The discovery and study of a vast number of regulatory RNAs in all kingdoms of life over the past decades has allowed the design of new synthetic RNAs that can regulate gene expression in vivo. Riboregulators, in particular, have been used to activate or repress gene expression. However, to accelerate and scale up the design process, synthetic biologists require computer-assisted design tools, without which riboregulator engineering will remain a case-by-case design process requiring expert attention. Recently, the design of RNA circuits by evolutionary computation and adapting strand displacement techniques from nanotechnology has proven to be suited to the automated generation of DNA sequences implementing regulatory RNA systems in bacteria. Herein, we present our method to carry out such evolutionary design and how to use it to create various types of riboregulators, allowing the systematic de novo design of genetic control systems in synthetic biology.
Genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing
Nguyen, Nga Thi Thuy; Vincens, Pierre
2018-01-01
Abstract Since 2010, the Genomicus web server is available online at http://genomicus.biologie.ens.fr/genomicus. This graphical browser provides access to comparative genomic analyses in four different phyla (Vertebrate, Plants, Fungi, and non vertebrate Metazoans). Users can analyse genomic information from extant species, as well as ancestral gene content and gene order for vertebrates and flowering plants, in an integrated evolutionary context. New analyses and visualization tools have recently been implemented in Genomicus Vertebrate. Karyotype structures from several genomes can now be compared along an evolutionary pathway (Multi-KaryotypeView), and synteny blocks can be computed and visualized between any two genomes (PhylDiagView). PMID:29087490
Wren, Jonathan D; Dozmorov, Mikhail G; Burian, Dennis; Kaundal, Rakesh; Perkins, Andy; Perkins, Ed; Kupfer, Doris M; Springer, Gordon K
2013-01-01
The tenth annual conference of the MidSouth Computational Biology and Bioinformatics Society (MCBIOS 2013), "The 10th Anniversary in a Decade of Change: Discovery in a Sea of Data", took place at the Stoney Creek Inn & Conference Center in Columbia, Missouri on April 5-6, 2013. This year's Conference Chairs were Gordon Springer and Chi-Ren Shyu from the University of Missouri and Edward Perkins from the US Army Corps of Engineers Engineering Research and Development Center, who is also the current MCBIOS President (2012-3). There were 151 registrants and a total of 111 abstracts (51 oral presentations and 60 poster session abstracts).
2011-06-01
4. Conclusion The Web -based AGeS system described in this paper is a computationally-efficient and scalable system for high- throughput genome...method for protecting web services involves making them more resilient to attack using autonomic computing techniques. This paper presents our initial...20–23, 2011 2011 DoD High Performance Computing Modernzation Program Users Group Conference HPCMP UGC 2011 The papers in this book comprise the
ICCE/ICCAI 2000 Full & Short Papers (Knowledge Construction and Navigation).
ERIC Educational Resources Information Center
2000
This document contains the following full and short papers on knowledge construction and navigation from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction): (1) "An XML-Based Tool for Building and Using Conceptual Maps in Education and Training Environments"…
ICCE/ICCAI 2000 Full & Short Papers (Lifelong Learning).
ERIC Educational Resources Information Center
2000
This document contains the following full and short papers on lifelong learning from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction): (1) "A Study on the School Information Technology Pilot Scheme: Possibilities of Creative and Lifelong Learning" (Siu-Cheung Kong,…
ICCE/ICCAI 2000 Full & Short Papers (Educational Agent).
ERIC Educational Resources Information Center
2000
This document contains the full text of the following papers on educational agent from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction): (1) "An Agent-Based Intelligent Tutoring System" (C.M. Bruff and M.A. Williams); (2) "Design of Systematic Concept…
ERIC Educational Resources Information Center
1986
This document includes summaries of conference presentations dealing with a wide variety of topics, including chemistry units for the elementary classroom, science experimentation in the secondary school, computer simulations, computer interfaces, videodisc technology, correspondence teaching of general chemistry, interdisciplinary energy courses,…
ICCE/ICCAI 2000 Full & Short Papers (Intelligent Tutoring Systems).
ERIC Educational Resources Information Center
2000
This document contains the full and short papers on intelligent tutoring systems (ITS) from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: a framework for Internet-based distributed learning; a fuzzy-based assessment for the Perl tutoring…
ICCE/ICCAI 2000 Full & Short Papers (Interactive Learning Environments).
ERIC Educational Resources Information Center
2000
This document contains the full and short papers on interactive learning environments from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: a CAL system for appreciation of 3D shapes by surface development; a constructivist virtual physics…
Sixth Annual Conference on Computers, Freedom, and Privacy: The RealAudio Proceedings.
ERIC Educational Resources Information Center
Glover, Barbara; Meernik, Mary
1996-01-01
Reviews the sixth Conference on Computers, Freedom, and Privacy (CFP) held in March 1996. Highlights include the Communications Decency Act, part of the 1996 Telecommunications Reform Act; European views; Internet service providers; limiting online speech on campus; cryptography; the global information infrastructure; copyright; and China and the…
Show & Tell. Proceedings of the Ontario Universities' Conference (1st, Guelph, Canada, May 1987).
ERIC Educational Resources Information Center
Herrmann, Thom, Ed.
Twenty-three conference papers focus on the use of information technology in Ontario's technical colleges and universities: "The Analytic Criticism Module--Authorial Structures & Design" (P. Beam); "Computing by Design" (R. D. Brown & J. D. Milliken); "Engineers and Computers" (P. S. Chisholm, M. Iwaniw, and…
ICCE/ICCAI 2000 Full & Short Papers (System Design and Development).
ERIC Educational Resources Information Center
2000
This document contains the full and short papers on system design and development from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: a code restructuring tool to help scaffold novice programmers; a framework for Internet-based…
Technology 2003: The Fourth National Technology Transfer Conference and Exposition, volume 2
NASA Technical Reports Server (NTRS)
Hackett, Michael (Compiler)
1994-01-01
Proceedings from symposia of the Technology 2003 Conference and Exposition, Dec. 7-9, 1993, Anaheim, CA, are presented. Volume 2 features papers on artificial intelligence, CAD&E, computer hardware, computer software, information management, photonics, robotics, test and measurement, video and imaging, and virtual reality/simulation.
ICCE/ICCAI 2000 Full & Short Papers (Multimedia and Hypermedia in Education).
ERIC Educational Resources Information Center
2000
This document contains the full and short papers on multimedia and hypermedia in education from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: learner-centered navigation path planning in world Wide Web-based learning; the relation…
ICCE/ICCAI 2000 Full & Short Papers (Methodologies).
ERIC Educational Resources Information Center
2000
This document contains the full text of the following full and short papers on methodologies from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction): (1) "A Methodology for Learning Pattern Analysis from Web Logs by Interpreting Web Page Contents" (Chih-Kai Chang and…
SIAM Conference on Geometric Design and Computing. Final Technical Report
DOE Office of Scientific and Technical Information (OSTI.GOV)
None
2002-03-11
The SIAM Conference on Geometric Design and Computing attracted 164 domestic and international researchers, from academia, industry, and government. It provided a stimulating forum in which to learn about the latest developments, to discuss exciting new research directions, and to forge stronger ties between theory and applications. Final Report
ICCE/ICCAI 2000 Full & Short Papers (Teaching and Learning Processes).
ERIC Educational Resources Information Center
2000
This document contains the full and short papers on teaching and learning processes from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: a code restructuring tool to help scaffold novice programmers; efficient study of Kanji using…
ERIC Educational Resources Information Center
Nixon, Carol, Comp.
This book contains the presentations of the 16th annual Computers in Libraries Conference. Contents include: "Creating New Services & Opportunities through Web Databases"; "Influencing Change and Student Learning through Staff Development"; "Top Ten Navigation Tips"; "Library of the Year: Gwinnett County…
DOE Office of Scientific and Technical Information (OSTI.GOV)
Wayne F. Boyer; Gurdeep S. Hura
2005-09-01
The Problem of obtaining an optimal matching and scheduling of interdependent tasks in distributed heterogeneous computing (DHC) environments is well known to be an NP-hard problem. In a DHC system, task execution time is dependent on the machine to which it is assigned and task precedence constraints are represented by a directed acyclic graph. Recent research in evolutionary techniques has shown that genetic algorithms usually obtain more efficient schedules that other known algorithms. We propose a non-evolutionary random scheduling (RS) algorithm for efficient matching and scheduling of inter-dependent tasks in a DHC system. RS is a succession of randomized taskmore » orderings and a heuristic mapping from task order to schedule. Randomized task ordering is effectively a topological sort where the outcome may be any possible task order for which the task precedent constraints are maintained. A detailed comparison to existing evolutionary techniques (GA and PSGA) shows the proposed algorithm is less complex than evolutionary techniques, computes schedules in less time, requires less memory and fewer tuning parameters. Simulation results show that the average schedules produced by RS are approximately as efficient as PSGA schedules for all cases studied and clearly more efficient than PSGA for certain cases. The standard formulation for the scheduling problem addressed in this paper is Rm|prec|Cmax.,« less
ERIC Educational Resources Information Center
Oregon Univ., Eugene. Center for Advanced Technology in Education.
The 13 conference presentations in this proceedings are arranged by general and special interest sessions and listed within each session in the order in which they were presented. These papers are: (1) "Key Issues for the Near Future" (David Moursund); (2) "Educating with Computers: Insights from Cognitive Psychology (and Video Games)" (Morton Ann…
PREFACE: International Conference on Computing in High Energy and Nuclear Physics (CHEP 2010)
NASA Astrophysics Data System (ADS)
Lin, Simon C.; Shen, Stella; Neufeld, Niko; Gutsche, Oliver; Cattaneo, Marco; Fisk, Ian; Panzer-Steindel, Bernd; Di Meglio, Alberto; Lokajicek, Milos
2011-12-01
The International Conference on Computing in High Energy and Nuclear Physics (CHEP) was held at Academia Sinica in Taipei from 18-22 October 2010. CHEP is a major series of international conferences for physicists and computing professionals from the worldwide High Energy and Nuclear Physics community, Computer Science, and Information Technology. The CHEP conference provides an international forum to exchange information on computing progress and needs for the community, and to review recent, ongoing and future activities. CHEP conferences are held at roughly 18 month intervals, alternating between Europe, Asia, America and other parts of the world. Recent CHEP conferences have been held in Prauge, Czech Republic (2009); Victoria, Canada (2007); Mumbai, India (2006); Interlaken, Switzerland (2004); San Diego, California(2003); Beijing, China (2001); Padova, Italy (2000) CHEP 2010 was organized by Academia Sinica Grid Computing Centre. There was an International Advisory Committee (IAC) setting the overall themes of the conference, a Programme Committee (PC) responsible for the content, as well as Conference Secretariat responsible for the conference infrastructure. There were over 500 attendees with a program that included plenary sessions of invited speakers, a number of parallel sessions comprising around 260 oral and 200 poster presentations, and industrial exhibitions. We thank all the presenters, for the excellent scientific content of their contributions to the conference. Conference tracks covered topics on Online Computing, Event Processing, Software Engineering, Data Stores, and Databases, Distributed Processing and Analysis, Computing Fabrics and Networking Technologies, Grid and Cloud Middleware, and Collaborative Tools. The conference included excursions to various attractions in Northern Taiwan, including Sanhsia Tsu Shih Temple, Yingko, Chiufen Village, the Northeast Coast National Scenic Area, Keelung, Yehliu Geopark, and Wulai Aboriginal Village, as well as two banquets held at the Grand Hotel and Grand Formosa Regent in Taipei. The next CHEP conference will be held in New York, the United States on 21-25 May 2012. We would like to thank the National Science Council of Taiwan, the EU ACEOLE project, commercial sponsors, and the International Advisory Committee and the Programme Committee members for all their support and help. Special thanks to the Programme Committee members for their careful choice of conference contributions and enormous effort in reviewing and editing about 340 post conference proceedings papers. Simon C Lin CHEP 2010 Conference Chair and Proceedings Editor Taipei, Taiwan November 2011 Track Editors/ Programme Committee Chair Simon C Lin, Academia Sinica, Taiwan Online Computing Track Y H Chang, National Central University, Taiwan Harry Cheung, Fermilab, USA Niko Neufeld, CERN, Switzerland Event Processing Track Fabio Cossutti, INFN Trieste, Italy Oliver Gutsche, Fermilab, USA Ryosuke Itoh, KEK, Japan Software Engineering, Data Stores, and Databases Track Marco Cattaneo, CERN, Switzerland Gang Chen, Chinese Academy of Sciences, China Stefan Roiser, CERN, Switzerland Distributed Processing and Analysis Track Kai-Feng Chen, National Taiwan University, Taiwan Ulrik Egede, Imperial College London, UK Ian Fisk, Fermilab, USA Fons Rademakers, CERN, Switzerland Torre Wenaus, BNL, USA Computing Fabrics and Networking Technologies Track Harvey Newman, Caltech, USA Bernd Panzer-Steindel, CERN, Switzerland Antonio Wong, BNL, USA Ian Fisk, Fermilab, USA Niko Neufeld, CERN, Switzerland Grid and Cloud Middleware Track Alberto Di Meglio, CERN, Switzerland Markus Schulz, CERN, Switzerland Collaborative Tools Track Joao Correia Fernandes, CERN, Switzerland Philippe Galvez, Caltech, USA Milos Lokajicek, FZU Prague, Czech Republic International Advisory Committee Chair: Simon C. Lin , Academia Sinica, Taiwan Members: Mohammad Al-Turany , FAIR, Germany Sunanda Banerjee, Fermilab, USA Dario Barberis, CERN & Genoa University/INFN, Switzerland Lothar Bauerdick, Fermilab, USA Ian Bird, CERN, Switzerland Amber Boehnlein, US Department of Energy, USA Kors Bos, CERN, Switzerland Federico Carminati, CERN, Switzerland Philippe Charpentier, CERN, Switzerland Gang Chen, Institute of High Energy Physics, China Peter Clarke, University of Edinburgh, UK Michael Ernst, Brookhaven National Laboratory, USA David Foster, CERN, Switzerland Merino Gonzalo, CIEMAT, Spain John Gordon, STFC-RAL, UK Volker Guelzow, Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany John Harvey, CERN, Switzerland Frederic Hemmer, CERN, Switzerland Hafeez Hoorani, NCP, Pakistan Viatcheslav Ilyin, Moscow State University, Russia Matthias Kasemann, DESY, Germany Nobuhiko Katayama, KEK, Japan Milos Lokajícek, FZU Prague, Czech Republic David Malon, ANL, USA Pere Mato Vila, CERN, Switzerland Mirco Mazzucato, INFN CNAF, Italy Richard Mount, SLAC, USA Harvey Newman, Caltech, USA Mitsuaki Nozaki, KEK, Japan Farid Ould-Saada, University of Oslo, Norway Ruth Pordes, Fermilab, USA Hiroshi Sakamoto, The University of Tokyo, Japan Alberto Santoro, UERJ, Brazil Jim Shank, Boston University, USA Alan Silverman, CERN, Switzerland Randy Sobie , University of Victoria, Canada Dongchul Son, Kyungpook National University, South Korea Reda Tafirout , TRIUMF, Canada Victoria White, Fermilab, USA Guy Wormser, LAL, France Frank Wuerthwein, UCSD, USA Charles Young, SLAC, USA
ERIC Educational Resources Information Center
Smith, Christopher, Ed.
Thirty-nine papers from the conference "Discovery '84: Technology for Disabled Persons" are presented. The conference was intended to provide an overview of the areas in which technological advances have been made, including the applications of computers and other related products and services. Conference presenters represented fields of…
Avoiding Local Optima with Interactive Evolutionary Robotics
2012-07-09
the top of a flight of stairs selects for climbing ; suspending the robot and the target object above the ground and creating rungs between the two will...REPORT Avoiding Local Optimawith Interactive Evolutionary Robotics 14. ABSTRACT 16. SECURITY CLASSIFICATION OF: The main bottleneck in evolutionary... robotics has traditionally been the time required to evolve robot controllers. However with the continued acceleration in computational resources, the
Optimality and stability of symmetric evolutionary games with applications in genetic selection.
Huang, Yuanyuan; Hao, Yiping; Wang, Min; Zhou, Wen; Wu, Zhijun
2015-06-01
Symmetric evolutionary games, i.e., evolutionary games with symmetric fitness matrices, have important applications in population genetics, where they can be used to model for example the selection and evolution of the genotypes of a given population. In this paper, we review the theory for obtaining optimal and stable strategies for symmetric evolutionary games, and provide some new proofs and computational methods. In particular, we review the relationship between the symmetric evolutionary game and the generalized knapsack problem, and discuss the first and second order necessary and sufficient conditions that can be derived from this relationship for testing the optimality and stability of the strategies. Some of the conditions are given in different forms from those in previous work and can be verified more efficiently. We also derive more efficient computational methods for the evaluation of the conditions than conventional approaches. We demonstrate how these conditions can be applied to justifying the strategies and their stabilities for a special class of genetic selection games including some in the study of genetic disorders.
International Conference on Intelligent Systems for Molecular Biology (ISMB)
DOE Office of Scientific and Technical Information (OSTI.GOV)
Goldberg, Debra; Hibbs, Matthew; Kall, Lukas
The Intelligent Systems for Molecular Biology (ISMB) conference has provided a general forum for disseminating the latest developments in bioinformatics on an annual basis for the past 13 years. ISMB is a multidisciplinary conference that brings together scientists from computer science, molecular biology, mathematics and statistics. The goal of the ISMB meeting is to bring together biologists and computational scientists in a focus on actual biological problems, i.e., not simply theoretical calculations. The combined focus on "intelligent systems" and actual biological data makes ISMB a unique and highly important meeting, and 13 years of experience in holding the conference hasmore » resulted in a consistently well organized, well attended, and highly respected annual conference. The ISMB 2005 meeting was held June 25-29, 2005 at the Renaissance Center in Detroit, Michigan. The meeting attracted over 1,730 attendees. The science presented was exceptional, and in the course of the five-day meeting, 56 scientific papers, 710 posters, 47 Oral Abstracts, 76 Software demonstrations, and 14 tutorials were presented. The attendees represented a broad spectrum of backgrounds with 7% from commercial companies, over 28% qualifying for student registration, and 41 countries were represented at the conference, emphasizing its important international aspect. The ISMB conference is especially important because the cultures of computer science and biology are so disparate. ISMB, as a full-scale technical conference with refereed proceedings that have been indexed by both MEDLINE and Current Contents since 1996, bridges this cultural gap.« less
NASA Astrophysics Data System (ADS)
Fiala, L.; Lokajicek, M.; Tumova, N.
2015-05-01
This volume of the IOP Conference Series is dedicated to scientific contributions presented at the 16th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2014), this year the motto was ''bridging disciplines''. The conference took place on September 1-5, 2014, at the Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic. The 16th edition of ACAT explored the boundaries of computing system architectures, data analysis algorithmics, automatic calculations, and theoretical calculation technologies. It provided a forum for confronting and exchanging ideas among these fields, where new approaches in computing technologies for scientific research were explored and promoted. This year's edition of the workshop brought together over 140 participants from all over the world. The workshop's 16 invited speakers presented key topics on advanced computing and analysis techniques in physics. During the workshop, 60 talks and 40 posters were presented in three tracks: Computing Technology for Physics Research, Data Analysis - Algorithms and Tools, and Computations in Theoretical Physics: Techniques and Methods. The round table enabled discussions on expanding software, knowledge sharing and scientific collaboration in the respective areas. ACAT 2014 was generously sponsored by Western Digital, Brookhaven National Laboratory, Hewlett Packard, DataDirect Networks, M Computers, Bright Computing, Huawei and PDV-Systemhaus. Special appreciations go to the track liaisons Lorenzo Moneta, Axel Naumann and Grigory Rubtsov for their work on the scientific program and the publication preparation. ACAT's IACC would also like to express its gratitude to all referees for their work on making sure the contributions are published in the proceedings. Our thanks extend to the conference liaisons Andrei Kataev and Jerome Lauret who worked with the local contacts and made this conference possible as well as to the program coordinator Federico Carminati and the conference chair Denis Perret-Gallix for their global supervision. Further information on ACAT 2014 can be found at http://www.particle.cz/acat2014
Evolutionary inference via the Poisson Indel Process.
Bouchard-Côté, Alexandre; Jordan, Michael I
2013-01-22
We address the problem of the joint statistical inference of phylogenetic trees and multiple sequence alignments from unaligned molecular sequences. This problem is generally formulated in terms of string-valued evolutionary processes along the branches of a phylogenetic tree. The classic evolutionary process, the TKF91 model [Thorne JL, Kishino H, Felsenstein J (1991) J Mol Evol 33(2):114-124] is a continuous-time Markov chain model composed of insertion, deletion, and substitution events. Unfortunately, this model gives rise to an intractable computational problem: The computation of the marginal likelihood under the TKF91 model is exponential in the number of taxa. In this work, we present a stochastic process, the Poisson Indel Process (PIP), in which the complexity of this computation is reduced to linear. The Poisson Indel Process is closely related to the TKF91 model, differing only in its treatment of insertions, but it has a global characterization as a Poisson process on the phylogeny. Standard results for Poisson processes allow key computations to be decoupled, which yields the favorable computational profile of inference under the PIP model. We present illustrative experiments in which Bayesian inference under the PIP model is compared with separate inference of phylogenies and alignments.
Evolutionary inference via the Poisson Indel Process
Bouchard-Côté, Alexandre; Jordan, Michael I.
2013-01-01
We address the problem of the joint statistical inference of phylogenetic trees and multiple sequence alignments from unaligned molecular sequences. This problem is generally formulated in terms of string-valued evolutionary processes along the branches of a phylogenetic tree. The classic evolutionary process, the TKF91 model [Thorne JL, Kishino H, Felsenstein J (1991) J Mol Evol 33(2):114–124] is a continuous-time Markov chain model composed of insertion, deletion, and substitution events. Unfortunately, this model gives rise to an intractable computational problem: The computation of the marginal likelihood under the TKF91 model is exponential in the number of taxa. In this work, we present a stochastic process, the Poisson Indel Process (PIP), in which the complexity of this computation is reduced to linear. The Poisson Indel Process is closely related to the TKF91 model, differing only in its treatment of insertions, but it has a global characterization as a Poisson process on the phylogeny. Standard results for Poisson processes allow key computations to be decoupled, which yields the favorable computational profile of inference under the PIP model. We present illustrative experiments in which Bayesian inference under the PIP model is compared with separate inference of phylogenies and alignments. PMID:23275296
NASA Technical Reports Server (NTRS)
Ponchak, George E.; Amadjikpe, Arnaud L.; Choudhury, Debabani; Papapolymerou, John
2011-01-01
In this paper, the first measurements of the received radiated power between antennas located on a conference table to simulate the environment of antennas embedded in laptop computers for 60 GHz Wireless Personal Area Network (WPAN) applications is presented. A high gain horn antenna and a medium gain microstrip patch antenna for two linear polarizations are compared. It is shown that for a typical conference table arrangement with five computers, books, pens, and coffee cups, the antennas should be placed a minimum of 5 cm above the table, but that a height of greater than 20 cm may be required to maximize the received power in all cases.
VizieR Online Data Catalog: Comparison of evolutionary tracks (Martins+, 2013)
NASA Astrophysics Data System (ADS)
Martins, F.; Palacios, A.
2013-11-01
Tables of evolutionary models for massive stars. The files m*_stol.dat correspond to models computed with the code STAREVOL. The files m*_mesa.dat correspond to models computed with the code MESA. For each code, models with initial masses equal to 7, 9, 15, 20, 25, 40 and 60M⊙ are provided. No rotation is included. The overshooting parameter f is equal to 0.01. The metallicity is solar. (14 data files).
NASA Astrophysics Data System (ADS)
2014-09-01
This volume contains selected papers presented at the 38th National Conference on Theoretical Physics (NCTP-38) and the 1st International Workshop on Theoretical and Computational Physics: Condensed Matter, Soft Matter and Materials Physics (IWTCP-1). Both the conference and the workshop were held from 29 July to 1 August 2013 in Pullman hotel, Da Nang, Vietnam. The IWTCP-1 was a new activity of the Vietnamese Theoretical Physics Society (VTPS) organized in association with the 38th National Conference on Theoretical Physics (NCTP-38), the most well-known annual scientific forum dedicated to the dissemination of the latest development in the field of theoretical physics within the country. The IWTCP-1 was also an External Activity of the Asia Pacific Center for Theoretical Physics (APCTP). The overriding goal of the IWTCP is to provide an international forum for scientists and engineers from academia to share ideas, problems and solution relating to the recent advances in theoretical physics as well as in computational physics. The main IWTCP motivation is to foster scientific exchanges between the Vietnamese theoretical and computational physics community and world-wide scientists as well as to promote high-standard level of research and education activities for young physicists in the country. About 110 participants coming from 10 countries participated in the conference and the workshop. 4 invited talks, 18 oral contributions and 46 posters were presented at the conference. In the workshop we had one keynote lecture and 9 invited talks presented by international experts in the fields of theoretical and computational physics, together with 14 oral and 33 poster contributions. The proceedings were edited by Nguyen Tri Lan, Trinh Xuan Hoang, and Nguyen Ai Viet. We would like to thank all invited speakers, participants and sponsors for making the conference and the workshop successful. Nguyen Ai Viet Chair of NCTP-38 and IWTCP-1
NexGen PVAs: Incorporating Eco-Evolutionary Processes into Population Viability Models
We examine how the integration of evolutionary and ecological processes in population dynamics – an emerging framework in ecology – could be incorporated into population viability analysis (PVA). Driven by parallel, complementary advances in population genomics and computational ...
ERIC Educational Resources Information Center
Borden, P. A.; And Others
Summaries are presented of five conference papers on communication, control, and computer access for handicapped individuals. Papers have the following titles and authors: "Accessibility of Graphically Based User Interface Computer Systems for Individuals with Visual Impairments" (Charles Lee and Gregg Vanderheiden); "Data Base vs. Information…
ICCE/ICCAI 2000 Full & Short Papers (Evaluation of Learning and Systems).
ERIC Educational Resources Information Center
2000
This document contains the full and short papers on evaluation of learning and systems from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: a new method for efficient study of Kanji using mnemonics and software; a study on the relation…
Sixth New Zealand Computer Conference (Auckland 78). Volume II, The Proceedings.
ERIC Educational Resources Information Center
New Zealand Computer Society, Auckland.
Speeches made by five keynote speakers, summaries of five forum sessions, and one paper are included in this collection of presentations at a conference on the application of computer technology in New Zealand. The keynote addresses include "Analysis of Key Factors for Motivation of Data Processing Professionals," by J. Daniel Couger;…
ERIC Educational Resources Information Center
Armel, Donald, Ed.
Papers from a conference on microcomputers are: "Organizational Leadership through Information Technology" (John A. Anderson); "Multimedia in the Classroom--Rejuvenating the Literacy Course" (Stephen T. Anderson, Sr.); "Something New about Notetaking: A Computer-Based Instructional Experiment" (Donald Armel);…
Educators and the Internet: What's out There, How to Get Some of It.
ERIC Educational Resources Information Center
Rosenbaum, Howard
1994-01-01
Argues that K-12 media educators and librarians should become vocal advocates for Internet connection in their elementary and secondary schools. Topics include K-12 uses of the Internet; Internet resources; FrEdMail (Free Educational Electronic Mail); and a BITNET computer conference. Appendices list computer conferences, networking contracts, and…
Super and parallel computers and their impact on civil engineering
DOE Office of Scientific and Technical Information (OSTI.GOV)
Kamat, M.P.
1986-01-01
This book presents the papers given at a conference on the use of supercomputers in civil engineering. Topics considered at the conference included solving nonlinear equations on a hypercube, a custom architectured parallel processing system, distributed data processing, algorithms, computer architecture, parallel processing, vector processing, computerized simulation, and cost benefit analysis.
ERIC Educational Resources Information Center
San Jose State Coll., CA.
The papers from a conference on computer communication networks are divided into five groups--trends, applications, problems and impairments, solutions and tools, impact on society and education. The impact of such developing technologies as cable television, the "wired nation," the telephone industry, and analog data storage is…
ERIC Educational Resources Information Center
Nixon, Carol, Comp.
This book contains presentations from the 17th annual Computers in Libraries Conference. Topics covered include: chatting with a librarian; verbots for library Web sites; collaborative IT (Information Technology) planning at Montgomery County Public Library (Maryland); designing a local government taxonomy; Weblogs; new roles for librarians in…
Highlights from the ISCB Student Council Symposium 2013
2014-01-01
This report summarizes the scientific content and activities of the annual symposium organized by the Student Council of the International Society for Computational Biology (ISCB), held in conjunction with the Intelligent Systems for Molecular Biology (ISMB) / European Conference on Computational Biology (ECCB) conference in Berlin, Germany, on July 19, 2013. PMID:25077567
ERIC Educational Resources Information Center
Rice, Michael
This report summarizes the presentations and discussions at a conference on the development of new products and services in electronic publishing and computer software for personal use. It is noted that the 26 participants came from a variety of perspectives, including the publishing and computer software industries; the fields of home…
NASA Technical Reports Server (NTRS)
Hyde, Patricia R.; Loftin, R. Bowen
1993-01-01
The volume 2 proceedings from the 1993 Conference on Intelligent Computer-Aided Training and Virtual Environment Technology are presented. Topics discussed include intelligent computer assisted training (ICAT) systems architectures, ICAT educational and medical applications, virtual environment (VE) training and assessment, human factors engineering and VE, ICAT theory and natural language processing, ICAT military applications, VE engineering applications, ICAT knowledge acquisition processes and applications, and ICAT aerospace applications.
PREFACE: 7th International Conference on Applications of Physics in Financial Analysis
NASA Astrophysics Data System (ADS)
Takayasu, M.; Watanabe, T.; Ikeda, Y.; Takayasu, H.
2010-04-01
This volume contains contributed papers from the 7th international conference on 'Applications of Physics in Financial Analysis (APFA)' held at Tokyo on 1-5 March 2009. The conference was organized jointly by Tokyo Institute of Technology and Hitotsubashi University with support from the Research Institute of Economy, Trade, and Industry (RIETI), Physical Society of Japan, Japanese Economic Association, Information Processing Society of Japan, Japanese Society for Artificial Intelligence, and Japan Association for Evolutionary Economics. The first APFA conference (APFA1) was held in 1999 at Dublin, followed by APFA2 at Liege in 2000, APFA3 at London in 2001, APFA4 at Warsaw in 2003, APFA5 at Torino in 2006, and APFA6 at Lisbon in 2007. The 7th APFA conference, which is the first meeting held outside Europe, was attended by 223 researchers in physics and economics from 23 countries world-wide. In keeping with past APFA conferences, we paid special attention to issues in financial markets, which turned out to be very timely. The conference was held in March 2009, in the middle of the global financial crisis that originally started in the US and spread quickly to every corner of the world. The topic of the conference is 'New Approaches to the Analysis of Large Scale Business and Economic data'. The rapid development of information and communication technology has enabled financial/non-financial firms to keep detailed records of their business activities in the form of, for example, tick-by-tick data in financial markets, point-of-sale (POS) data on individual household's purchasing activity, and interfirm network data describing relationships among firms in terms of suppliers/customers transactions and ownerships. This growth in the scope and amount of business data available to researchers has led to a far-reaching expansion in research possibilities. Researchers not only in social sciences but also in physics, mathematics, and information sciences have recently become interested in such datasets, conducting empirical investigations about various aspects of economic activities. Specifically, they have searched for regularities and 'laws' akin to the ones in natural science, successfully producing fascinating results, as shown in the papers contained in this volume. Each paper submitted for publication in this volume has gone through the refereeing process, and has been revised on the basis of comments and discussion at the conference as well as comments from the anonymous referees. Finally, 19 papers were accepted for publication. The editors are very grateful to the colleagues involved in the refereeing process for their rapid and careful reviewing of the papers. We thank Takayuki Mizuno, Koji Sakai, Hiwon Yoon and Hiroki Matsui for their support for the conference. We appreciate the administrative assistance provided by Yayoi Hatano of Hitotsubashi University, and Masahiko Ozaki, Masato Yamada and Tomoko Kase of RIETI. We are most grateful to the authors for their contributions, as well as to the participants, all of whom made this conference stimulating and enjoyable. Misako Takayasu Tokyo Institute of Technology, Japan Tsutomu Watanabe Hitotsubashi University, Japan RIETI, Japan Yuichi Ikeda Hitachi Research Laboratory, Hitachi Ltd, Japan Hideki Takayasu Sony Computer Science Laboratories, Inc, Japan
PREFACE: IUPAP C20 Conference on Computational Physics (CCP 2011)
NASA Astrophysics Data System (ADS)
Troparevsky, Claudia; Stocks, George Malcolm
2012-12-01
Increasingly, computational physics stands alongside experiment and theory as an integral part of the modern approach to solving the great scientific challenges of the day on all scales - from cosmology and astrophysics, through climate science, to materials physics, and the fundamental structure of matter. Computational physics touches aspects of science and technology with direct relevance to our everyday lives, such as communication technologies and securing a clean and efficient energy future. This volume of Journal of Physics: Conference Series contains the proceedings of the scientific contributions presented at the 23rd Conference on Computational Physics held in Gatlinburg, Tennessee, USA, in November 2011. The annual Conferences on Computational Physics (CCP) are dedicated to presenting an overview of the most recent developments and opportunities in computational physics across a broad range of topical areas and from around the world. The CCP series has been in existence for more than 20 years, serving as a lively forum for computational physicists. The topics covered by this conference were: Materials/Condensed Matter Theory and Nanoscience, Strongly Correlated Systems and Quantum Phase Transitions, Quantum Chemistry and Atomic Physics, Quantum Chromodynamics, Astrophysics, Plasma Physics, Nuclear and High Energy Physics, Complex Systems: Chaos and Statistical Physics, Macroscopic Transport and Mesoscopic Methods, Biological Physics and Soft Materials, Supercomputing and Computational Physics Teaching, Computational Physics and Sustainable Energy. We would like to take this opportunity to thank our sponsors: International Union of Pure and Applied Physics (IUPAP), IUPAP Commission on Computational Physics (C20), American Physical Society Division of Computational Physics (APS-DCOMP), Oak Ridge National Laboratory (ORNL), Center for Defect Physics (CDP), the University of Tennessee (UT)/ORNL Joint Institute for Computational Sciences (JICS) and Cray, Inc. We are grateful to the committees that helped put the conference together, especially the local organizing committee. Particular thanks are also due to a number of ORNL staff who spent long hours with the administrative details. We are pleased to express our thanks to the conference administrator Ann Strange (ORNL/CDP) for her responsive and efficient day-to-day handling of this event, Sherry Samples, Assistant Conference Administrator (ORNL), Angie Beach and the ORNL Conference Office, and Shirley Shugart (ORNL) and Fern Stooksbury (ORNL) who created and maintained the conference website. Editors: G Malcolm Stocks (ORNL) and M Claudia Troparevsky (UT) http://ccp2011.ornl.gov Chair: Dr Malcolm Stocks (ORNL) Vice Chairs: Adriana Moreo (ORNL/UT) James Guberrnatis (LANL) Local Program Committee: Don Batchelor (ORNL) Jack Dongarra (UTK/ORNL) James Hack (ORNL) Robert Harrison (ORNL) Paul Kent (ORNL) Anthony Mezzacappa (ORNL) Adriana Moreo (ORNL) Witold Nazarewicz (UT) Loukas Petridis (ORNL) David Schultz (ORNL) Bill Shelton (ORNL) Claudia Troparevsky (ORNL) Mina Yoon (ORNL) International Advisory Board Members: Joan Adler (Israel Institute of Technology, Israel) Constantia Alexandrou (University of Cyprus, Cyprus) Claudia Ambrosch-Draxl (University of Leoben, Austria) Amanda Barnard (CSIRO, Australia) Peter Borcherds (University of Birmingham, UK) Klaus Cappelle (UFABC, Brazil) Giovanni Ciccotti (Università degli Studi di Roma 'La Sapienza', Italy) Nithaya Chetty (University of Pretoria, South Africa) Charlotte Froese-Fischer (NIST, US) Giulia A. Galli (University of California, Davis, US) Gillian Gehring (University of Sheffield, UK) Guang-Yu Guo (National Taiwan University, Taiwan) Sharon Hammes-Schiffer (Penn State, US) Alex Hansen (Norweigan UST) Duane D. Johnson (University of Illinois at Urbana-Champaign, US) David Landau (University of Georgia, US) Joaquin Marro (University of Granada, Spain) Richard Martin (UIUC, US) Todd Martinez (Stanford University, US) Bill McCurdy (Lawrence Berkeley National Laboratory, US) Ingrid Mertig (Martin Luther University, Germany) Alejandro Muramatsu (Universitat Stuttgart, Germany) Richard Needs (Cavendish Laboratory, UK) Giuseppina Orlandini (University of Trento, Italy) Martin Savage (University of Washington, US) Thomas Schulthess (ETH, Switzerland) Dzidka Szotek (Daresbury Laboratory, UK) Hideaki Takabe (Osaka University, Japan) William M. Tang (Princeton University, US) James Vary (Iowa State, US) Enge Wang (Chinese Academy of Science, China) Jian-Guo Wang (Institute of Applied Physics and Computational Mathematics, China) Jian-Sheng Wang (National University, Singapore) Dan Wei (Tsinghua University, China) Tony Williams (University of Adelaide, Australia) Rudy Zeller (Julich, Germany) Conference Administrator: Ann Strange (ORNL)
ERIC Educational Resources Information Center
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.
2016-01-01
These proceedings contain the papers of the International Conference e-Learning 2016, which was organised by the International Association for Development of the Information Society, 1-3 July, 2016. This conference is part of the Multi Conference on Computer Science and Information Systems 2016, 1-4 July. The e-Learning (EL) 2016 conference aims…
ERIC Educational Resources Information Center
Smith, Peter, Ed.
This 2000 Association of Small Computer Users in Education (ASCUE) conference proceedings first highlights keynote speakers and describes the pre-conference workshops. The conference papers and abstracts that follow discuss: strategic planning for faculty, staff, and student development; a network lab; the Blackboard course delivery system;…
ERIC Educational Resources Information Center
Smith, Peter, Ed.
This 2002 Association of Small Computer Users in Education (ASCUE) conference proceedings briefly describes ASCUE and its listserv, lists board members, and provides abstracts of the pre-conference workshops. The conference papers and abstracts that follow cover: principles of visual communication in Web design; Blackboard 5--Web-based course…
Serohijos, Adrian W.R.; Shakhnovich, Eugene I.
2014-01-01
The variation among sequences and structures in nature is both determined by physical laws and by evolutionary history. However, these two factors are traditionally investigated by disciplines with different emphasis and philosophy—molecular biophysics on one hand and evolutionary population genetics in another. Here, we review recent theoretical and computational approaches that address the critical need to integrate these two disciplines. We first articulate the elements of these integrated approaches. Then, we survey their contribution to our mechanistic understanding of molecular evolution, the polymorphisms in coding region, the distribution of fitness effects (DFE) of mutations, the observed folding stability of proteins in nature, and the distribution of protein folds in genomes. PMID:24952216
Serohijos, Adrian W R; Shakhnovich, Eugene I
2014-06-01
The variation among sequences and structures in nature is both determined by physical laws and by evolutionary history. However, these two factors are traditionally investigated by disciplines with different emphasis and philosophy-molecular biophysics on one hand and evolutionary population genetics in another. Here, we review recent theoretical and computational approaches that address the crucial need to integrate these two disciplines. We first articulate the elements of these approaches. Then, we survey their contribution to our mechanistic understanding of molecular evolution, the polymorphisms in coding region, the distribution of fitness effects (DFE) of mutations, the observed folding stability of proteins in nature, and the distribution of protein folds in genomes. Copyright © 2014 Elsevier Ltd. All rights reserved.
Evolutionary trends in directional hearing
Carr, Catherine E.; Christensen-Dalsgaard, Jakob
2016-01-01
Tympanic hearing is a true evolutionary novelty that arose in parallel within early tetrapods. We propose that in these tetrapods, selection for sound localization in air acted upon pre-existing directionally sensitive brainstem circuits, similar to those in fishes. Auditory circuits in birds and lizards resemble this ancestral, directionally sensitive framework. Despite this anatomically similarity, coding of sound source location differs between birds and lizards. In birds, brainstem circuits compute sound location from interaural cues. Lizards, however, have coupled ears, and do not need to compute source location in the brain. Thus their neural processing of sound direction differs, although all show mechanisms for enhancing sound source directionality. Comparisons with mammals reveal similarly complex interactions between coding strategies and evolutionary history. PMID:27448850
Genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing.
Nguyen, Nga Thi Thuy; Vincens, Pierre; Roest Crollius, Hugues; Louis, Alexandra
2018-01-04
Since 2010, the Genomicus web server is available online at http://genomicus.biologie.ens.fr/genomicus. This graphical browser provides access to comparative genomic analyses in four different phyla (Vertebrate, Plants, Fungi, and non vertebrate Metazoans). Users can analyse genomic information from extant species, as well as ancestral gene content and gene order for vertebrates and flowering plants, in an integrated evolutionary context. New analyses and visualization tools have recently been implemented in Genomicus Vertebrate. Karyotype structures from several genomes can now be compared along an evolutionary pathway (Multi-KaryotypeView), and synteny blocks can be computed and visualized between any two genomes (PhylDiagView). © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.
Phylogenetic tree and community structure from a Tangled Nature model.
Canko, Osman; Taşkın, Ferhat; Argın, Kamil
2015-10-07
In evolutionary biology, the taxonomy and origination of species are widely studied subjects. An estimation of the evolutionary tree can be done via available DNA sequence data. The calculation of the tree is made by well-known and frequently used methods such as maximum likelihood and neighbor-joining. In order to examine the results of these methods, an evolutionary tree is pursued computationally by a mathematical model, called Tangled Nature. A relatively small genome space is investigated due to computational burden and it is found that the actual and predicted trees are in reasonably good agreement in terms of shape. Moreover, the speciation and the resulting community structure of the food-web are investigated by modularity. Copyright © 2015 Elsevier Ltd. All rights reserved.
PREFACE: High Performance Computing Symposium 2011
NASA Astrophysics Data System (ADS)
Talon, Suzanne; Mousseau, Normand; Peslherbe, Gilles; Bertrand, François; Gauthier, Pierre; Kadem, Lyes; Moitessier, Nicolas; Rouleau, Guy; Wittig, Rod
2012-02-01
HPCS (High Performance Computing Symposium) is a multidisciplinary conference that focuses on research involving High Performance Computing and its application. Attended by Canadian and international experts and renowned researchers in the sciences, all areas of engineering, the applied sciences, medicine and life sciences, mathematics, the humanities and social sciences, it is Canada's pre-eminent forum for HPC. The 25th edition was held in Montréal, at the Université du Québec à Montréal, from 15-17 June and focused on HPC in Medical Science. The conference was preceded by tutorials held at Concordia University, where 56 participants learned about HPC best practices, GPU computing, parallel computing, debugging and a number of high-level languages. 274 participants from six countries attended the main conference, which involved 11 invited and 37 contributed oral presentations, 33 posters, and an exhibit hall with 16 booths from our sponsors. The work that follows is a collection of papers presented at the conference covering HPC topics ranging from computer science to bioinformatics. They are divided here into four sections: HPC in Engineering, Physics and Materials Science, HPC in Medical Science, HPC Enabling to Explore our World and New Algorithms for HPC. We would once more like to thank the participants and invited speakers, the members of the Scientific Committee, the referees who spent time reviewing the papers and our invaluable sponsors. To hear the invited talks and learn about 25 years of HPC development in Canada visit the Symposium website: http://2011.hpcs.ca/lang/en/conference/keynote-speakers/ Enjoy the excellent papers that follow, and we look forward to seeing you in Vancouver for HPCS 2012! Gilles Peslherbe Chair of the Scientific Committee Normand Mousseau Co-Chair of HPCS 2011 Suzanne Talon Chair of the Organizing Committee UQAM Sponsors The PDF also contains photographs from the conference banquet.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Zhang, Bing; Huang, Yufei; McDermott, Jason E.
The 2013 International Conference on Intelligent Biology and Medicine (ICIBM 2013) was held on August 11-13, 2013 in Nashville, Tennessee, USA. The conference included six scientific sessions, two tutorial sessions, one workshop, two poster sessions, and four keynote presentations that covered cutting-edge research topics in bioinformatics, systems biology, computational medicine, and intelligent computing. Here, we present a summary of the conference and an editorial report of the supplements to BMC Genomics and BMC Systems Biology that include 19 research papers selected from ICIBM 2013.
2013-01-01
The 2013 International Conference on Intelligent Biology and Medicine (ICIBM 2013) was held on August 11-13, 2013 in Nashville, Tennessee, USA. The conference included six scientific sessions, two tutorial sessions, one workshop, two poster sessions, and four keynote presentations that covered cutting-edge research topics in bioinformatics, systems biology, computational medicine, and intelligent computing. Here, we present a summary of the conference and an editorial report of the supplements to BMC Genomics and BMC Systems Biology that include 19 research papers selected from ICIBM 2013. PMID:24564388
Scalable computing for evolutionary genomics.
Prins, Pjotr; Belhachemi, Dominique; Möller, Steffen; Smant, Geert
2012-01-01
Genomic data analysis in evolutionary biology is becoming so computationally intensive that analysis of multiple hypotheses and scenarios takes too long on a single desktop computer. In this chapter, we discuss techniques for scaling computations through parallelization of calculations, after giving a quick overview of advanced programming techniques. Unfortunately, parallel programming is difficult and requires special software design. The alternative, especially attractive for legacy software, is to introduce poor man's parallelization by running whole programs in parallel as separate processes, using job schedulers. Such pipelines are often deployed on bioinformatics computer clusters. Recent advances in PC virtualization have made it possible to run a full computer operating system, with all of its installed software, on top of another operating system, inside a "box," or virtual machine (VM). Such a VM can flexibly be deployed on multiple computers, in a local network, e.g., on existing desktop PCs, and even in the Cloud, to create a "virtual" computer cluster. Many bioinformatics applications in evolutionary biology can be run in parallel, running processes in one or more VMs. Here, we show how a ready-made bioinformatics VM image, named BioNode, effectively creates a computing cluster, and pipeline, in a few steps. This allows researchers to scale-up computations from their desktop, using available hardware, anytime it is required. BioNode is based on Debian Linux and can run on networked PCs and in the Cloud. Over 200 bioinformatics and statistical software packages, of interest to evolutionary biology, are included, such as PAML, Muscle, MAFFT, MrBayes, and BLAST. Most of these software packages are maintained through the Debian Med project. In addition, BioNode contains convenient configuration scripts for parallelizing bioinformatics software. Where Debian Med encourages packaging free and open source bioinformatics software through one central project, BioNode encourages creating free and open source VM images, for multiple targets, through one central project. BioNode can be deployed on Windows, OSX, Linux, and in the Cloud. Next to the downloadable BioNode images, we provide tutorials online, which empower bioinformaticians to install and run BioNode in different environments, as well as information for future initiatives, on creating and building such images.
Animal behaviour and algal camouflage jointly structure predation and selection.
Start, Denon
2018-05-01
Trait variation can structure interactions between individuals, thus shaping selection. Although antipredator strategies are an important component of many aquatic systems, how multiple antipredator traits interact to influence consumption and selection remains contentious. Here, I use a common larval dragonfly (Epitheca canis) and its predator (Anax junius) to test for the joint effects of activity rate and algal camouflage on predation and survival selection. I found that active and poorly camouflaged Epitheca were more likely to be consumed, and thus, survival selection favoured inactive and well-camouflaged individuals. Notably, camouflage dampened selection on activity rate, likely by reducing attack rates when Epitheca encountered a predator. Correlational selection is therefore conferred by the ecological interaction of traits, rather than by opposing selection acting on linked traits. I suggest that antipredator traits with different adaptive functions can jointly structure patterns of consumption and selection. © 2018 European Society For Evolutionary Biology. Journal of Evolutionary Biology © 2018 European Society For Evolutionary Biology.
Moncla, Louise H; Zhong, Gongxun; Nelson, Chase W; Dinis, Jorge M; Mutschler, James; Hughes, Austin L; Watanabe, Tokiko; Kawaoka, Yoshihiro; Friedrich, Thomas C
2016-02-10
Avian influenza virus reassortants resembling the 1918 human pandemic virus can become transmissible among mammals by acquiring mutations in hemagglutinin (HA) and polymerase. Using the ferret model, we trace the evolutionary pathway by which an avian-like virus evolves the capacity for mammalian replication and airborne transmission. During initial infection, within-host HA diversity increased drastically. Then, airborne transmission fixed two polymerase mutations that do not confer a detectable replication advantage. In later transmissions, selection fixed advantageous HA1 variants. Transmission initially involved a "loose" bottleneck, which became strongly selective after additional HA mutations emerged. The stringency and evolutionary forces governing between-host bottlenecks may therefore change throughout host adaptation. Mutations occurred in multiple combinations in transmitted viruses, suggesting that mammalian transmissibility can evolve through multiple genetic pathways despite phenotypic constraints. Our data provide a glimpse into avian influenza virus adaptation in mammals, with broad implications for surveillance on potentially zoonotic viruses. Copyright © 2016 Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Cole, Steven W.; Arevalo, Jesusa M. G.; Manu, Kavya; Telzer, Eva H.; Kiang, Lisa; Bower, Julienne E.; Irwin, Michael R.; Fuligni, Andrew J.
2011-01-01
The authors tested the evolutionary genetic hypothesis that the functional form of an asymmetrically risky Gene x Environment interaction will differ as a function of age-related antagonistic pleiotropy (i.e., show opposite effects in young vs. old individuals). Previous studies have identified a polymorphism in the human "IL6" promoter…
ERIC Educational Resources Information Center
Dalton, David W., Ed.; And Others
This collection of conference presentations contains 48 papers and 122 abstracts (for which there are no formal papers). The papers and abstracts are presented in two separate sections, but both are categorized by special interest groups: (1) Academic Computing (SIGAC, 1 paper, 9 abstracts); (2) Computer-Based Training (SIGCBT, 8 papers, 12…
ERIC Educational Resources Information Center
Patterson, Janice H.; Smith, Marshall S.
This report presents a national agenda for research on the learning of thinking skills via computer technology which was developed at a National Academy of Sciences conference on educational, methodological, and practical issues involved in the use of computers to promote complex thought in grades K-12. The discussion of research topics agreed…
Computer Applications in Dental Education. A Conference Report.
ERIC Educational Resources Information Center
National Institutes of Health (DHEW), Bethesda, MD. Div. of Dental Health.
In the first section of this book, seven papers are presented which were given at the working conference on Computer Applications in Dental Education held in San Francisco in October 1969. Three of the papers are statements by educators (Lawrence M. Stolurow, Ralph E. Grubb, and John A. Starkweather) who have been active for several years in the…
ERIC Educational Resources Information Center
Brubaker, Thomas, A., Ed.; And Others
These conference proceedings address the capabilities of technology in education. Papers and summaries of presentations are provided on the following topics: programs for special needs students; virtual realities; funding opportunities; videodiscs; future programs and perspectives; telecomputing; computer networks in the classroom; human…
Interaction and Critical Inquiry in Asynchronous Computer-Mediated Conferencing: A Research Agenda
ERIC Educational Resources Information Center
Hopkins, Joseph; Gibson, Will; Ros i. Sole, Cristina; Savvides, Nicola; Starkey, Hugh
2008-01-01
This paper reviews research on learner and tutor interaction in asynchronous computer-mediated (ACM) conferences used in distance learning. The authors note claims made for the potential of ACM conferences to promote higher-order critical inquiry and the social construction of knowledge, and argue that there is a general lack of evidence regarding…
Approaches to Privacy and Security in Computer Systems. Publication No. 404.
ERIC Educational Resources Information Center
Renninger, Clark R., Ed.
A conference was held at the National Bureau of Standards on March 4-5, 1974 to continue the dialogue in search of ways to protect confidential information in computer systems. Proposals were presented for meeting governmental needs in safeguarding individual privacy and data confidentiality that were identified at a conference held in November…
ERIC Educational Resources Information Center
Wisconsin Univ., Madison. Trace Center.
This document brings together eight papers presented at a rehabilitation technology conference, authored by individuals affiliated with the Trace R & D Center on Communication, Control and Computer Access for Handicapped Individuals. Titles and authors of the papers are as follows: "Current Initiatives in Accessible Computing" (Jane Berliss);…
ICCE/ICCAI 2000 Full & Short Papers (Virtual Reality in Education).
ERIC Educational Resources Information Center
2000
This document contains the full text of the following full and short papers on virtual reality in education from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction): (1) "A CAL System for Appreciation of 3D Shapes by Surface Development (C3D-SD)" (Stephen C. F. Chan, Andy…
ERIC Educational Resources Information Center
National Educational Computing Conference.
This document contains the proceedings of the National Educational Computing Conference (NECC) 2000. It includes the advance program and registration materials for the NECC. Major themes of NECC 2000 include: connecting technology to teaching and learning; staying connected with professional development; moving beyond the crossroads; teachers as…
Case of Computer Conference at California College Pits Free Speech against Civil-Rights Protection.
ERIC Educational Resources Information Center
DeLoughry, Thomas J.; Wilson, David L.
1994-01-01
Santa Rosa Junior College (California) is in dispute with the Department of Education's Office of Civil Rights over comments about women students, termed sexual harassment, made in a men-only computer conference. The college is negotiating with the federal agency over what it must do to respond to student complaints. (MSE)
ERIC Educational Resources Information Center
Georgia State Dept. of Human Resources, Atlanta. Div. of Rehabilitation Services.
This packet of materials was originally intended for participants in a 1991 conference on assistive technology for the disabled. After a detailed listing of the conference schedule, individual sections provide abstracts, biographical sketches, and summaries concerning the following conference topics: blending, computer labs, family, grants and…
ERIC Educational Resources Information Center
Smith, Peter, Ed.
This 2001 Association of Small Computer Users in Education (ASCUE) conference proceedings briefly describes ASCUE and its listserver, lists the 2000-2001 ASCUE Board Members, and provides abstracts of the pre-conference workshops. The conference papers and abstracts of papers that follow include: "Microsoft Project 2000--Keeping Projects on Time…
Multimedia in Education: Thought Pieces.
ERIC Educational Resources Information Center
Nicol, Anne; And Others
1986-01-01
The six "thought pieces" presented in this document summarize the personal perspectives of conference participants on issues raised in formal or information discussions, but not part of the central themes of the conference or conference papers. They include: (1) "Assuming That..." (Anne Nicol, Apple Computer, Inc.); (2) "A…
Cost Considerations in Nonlinear Finite-Element Computing
NASA Technical Reports Server (NTRS)
Utku, S.; Melosh, R. J.; Islam, M.; Salama, M.
1985-01-01
Conference paper discusses computational requirements for finiteelement analysis using quasi-linear approach to nonlinear problems. Paper evaluates computational efficiency of different computer architecturtural types in terms of relative cost and computing time.
Kumar, Sudhir; Stecher, Glen; Peterson, Daniel; Tamura, Koichiro
2012-10-15
There is a growing need in the research community to apply the molecular evolutionary genetics analysis (MEGA) software tool for batch processing a large number of datasets and to integrate it into analysis workflows. Therefore, we now make available the computing core of the MEGA software as a stand-alone executable (MEGA-CC), along with an analysis prototyper (MEGA-Proto). MEGA-CC provides users with access to all the computational analyses available through MEGA's graphical user interface version. This includes methods for multiple sequence alignment, substitution model selection, evolutionary distance estimation, phylogeny inference, substitution rate and pattern estimation, tests of natural selection and ancestral sequence inference. Additionally, we have upgraded the source code for phylogenetic analysis using the maximum likelihood methods for parallel execution on multiple processors and cores. Here, we describe MEGA-CC and outline the steps for using MEGA-CC in tandem with MEGA-Proto for iterative and automated data analysis. http://www.megasoftware.net/.
"Loops and Legs in Quantum Field Theory", 12th DESY Workshop on Elementary Particle Physics
NASA Astrophysics Data System (ADS)
The bi-annual international conference "Loops and Legs in Quantum Field Theory" has been held at Weimar, Germany, from April 27 to May 02, 2014. It has been the 12th conference of this series, started in 1992. The main focus of the conference are precision calculations of multi- loop and multi-leg processes in elementary particle physics for processes at present and future high-energy facilities within and beyond the Standard Model. At present many physics questions studied deal with processes at the LHC and future facilities like the ILC. A growing number of contributions deals with important developments in the field of computational technologies and algorithmic methods, including large-scale computer algebra, efficient methods to compute large numbers of Feynman diagrams, analytic summation and integration methods of various kinds, new related function spaces, precise numerical methods and Monte Carlo simulations. The present conference has been attended by more than 110 participants from all over the world, presenting more than 75 contributions, most of which have been written up for these pro- ceedings. The present volume demonstrates in an impressive way the enormous development of the field during the last few years, reaching the level of 5-loop calculations in QCD and a like- wise impressive development in massive next-to-leading order and next-to-next-to-leading order processes. Computer algebraic and numerical calculations require terabyte storage and many CPU years, even after intense parallelization, to obtain state-of-the-art theoretical predictions. The city of Weimar gave a suitable frame to the conference, with its rich history, especially in literature, music, arts, and architecture. Goethe, Schiller, Wieland, Herder, Bach and Liszt lived there and created many of their masterpieces. The many young participants signal that our field is prosperous and faces an exciting future. The conference hotel "Kaiserin Augusta" offered a warm hospitality and excellent working conditions. We would like to thank Martina Mende for all her work in helping to organize this conference. Details of the conference can be found under: https://indico.desy.de/conferenceDisplay.py?confId=8107
The Stochastic Evolutionary Game for a Population of Biological Networks Under Natural Selection
Chen, Bor-Sen; Ho, Shih-Ju
2014-01-01
In this study, a population of evolutionary biological networks is described by a stochastic dynamic system with intrinsic random parameter fluctuations due to genetic variations and external disturbances caused by environmental changes in the evolutionary process. Since information on environmental changes is unavailable and their occurrence is unpredictable, they can be considered as a game player with the potential to destroy phenotypic stability. The biological network needs to develop an evolutionary strategy to improve phenotypic stability as much as possible, so it can be considered as another game player in the evolutionary process, ie, a stochastic Nash game of minimizing the maximum network evolution level caused by the worst environmental disturbances. Based on the nonlinear stochastic evolutionary game strategy, we find that some genetic variations can be used in natural selection to construct negative feedback loops, efficiently improving network robustness. This provides larger genetic robustness as a buffer against neutral genetic variations, as well as larger environmental robustness to resist environmental disturbances and maintain a network phenotypic traits in the evolutionary process. In this situation, the robust phenotypic traits of stochastic biological networks can be more frequently selected by natural selection in evolution. However, if the harbored neutral genetic variations are accumulated to a sufficiently large degree, and environmental disturbances are strong enough that the network robustness can no longer confer enough genetic robustness and environmental robustness, then the phenotype robustness might break down. In this case, a network phenotypic trait may be pushed from one equilibrium point to another, changing the phenotypic trait and starting a new phase of network evolution through the hidden neutral genetic variations harbored in network robustness by adaptive evolution. Further, the proposed evolutionary game is extended to an n-tuple evolutionary game of stochastic biological networks with m players (competitive populations) and k environmental dynamics. PMID:24558296
On joint subtree distributions under two evolutionary models.
Wu, Taoyang; Choi, Kwok Pui
2016-04-01
In population and evolutionary biology, hypotheses about micro-evolutionary and macro-evolutionary processes are commonly tested by comparing the shape indices of empirical evolutionary trees with those predicted by neutral models. A key ingredient in this approach is the ability to compute and quantify distributions of various tree shape indices under random models of interest. As a step to meet this challenge, in this paper we investigate the joint distribution of cherries and pitchforks (that is, subtrees with two and three leaves) under two widely used null models: the Yule-Harding-Kingman (YHK) model and the proportional to distinguishable arrangements (PDA) model. Based on two novel recursive formulae, we propose a dynamic approach to numerically compute the exact joint distribution (and hence the marginal distributions) for trees of any size. We also obtained insights into the statistical properties of trees generated under these two models, including a constant correlation between the cherry and the pitchfork distributions under the YHK model, and the log-concavity and unimodality of the cherry distributions under both models. In addition, we show that there exists a unique change point for the cherry distributions between these two models. Copyright © 2015 Elsevier Inc. All rights reserved.
Evolutionary Computing Methods for Spectral Retrieval
NASA Technical Reports Server (NTRS)
Terrile, Richard; Fink, Wolfgang; Huntsberger, Terrance; Lee, Seugwon; Tisdale, Edwin; VonAllmen, Paul; Tinetti, Geivanna
2009-01-01
A methodology for processing spectral images to retrieve information on underlying physical, chemical, and/or biological phenomena is based on evolutionary and related computational methods implemented in software. In a typical case, the solution (the information that one seeks to retrieve) consists of parameters of a mathematical model that represents one or more of the phenomena of interest. The methodology was developed for the initial purpose of retrieving the desired information from spectral image data acquired by remote-sensing instruments aimed at planets (including the Earth). Examples of information desired in such applications include trace gas concentrations, temperature profiles, surface types, day/night fractions, cloud/aerosol fractions, seasons, and viewing angles. The methodology is also potentially useful for retrieving information on chemical and/or biological hazards in terrestrial settings. In this methodology, one utilizes an iterative process that minimizes a fitness function indicative of the degree of dissimilarity between observed and synthetic spectral and angular data. The evolutionary computing methods that lie at the heart of this process yield a population of solutions (sets of the desired parameters) within an accuracy represented by a fitness-function value specified by the user. The evolutionary computing methods (ECM) used in this methodology are Genetic Algorithms and Simulated Annealing, both of which are well-established optimization techniques and have also been described in previous NASA Tech Briefs articles. These are embedded in a conceptual framework, represented in the architecture of the implementing software, that enables automatic retrieval of spectral and angular data and analysis of the retrieved solutions for uniqueness.
PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees
Lee, Bongshin; Nachmanson, Lev; Robertson, George; Carlson, Jonathan M.; Heckerman, David
2009-01-01
Summary: Evolutionary biologists are often interested in finding correlations among biological traits across a number of species, as such correlations may lead to testable hypotheses about the underlying function. Because some species are more closely related than others, computing and visualizing these correlations must be done in the context of the evolutionary tree that relates species. In this note, we introduce PhyloDet (short for PhyloDetective), an evolutionary tree visualization tool that enables biologists to visualize multiple traits mapped to the tree. Availability: http://research.microsoft.com/cue/phylodet/ Contact: bongshin@microsoft.com. PMID:19633096
Comments on the Development of Computational Mathematics in Czechoslovakia and in the USSR.
1987-03-01
ACT (COusduMe an reverse .eld NE 4040604W SWi 1410011 6F 660" ambe The talk is an Invited lecture at Ale Conference on the History of Scientific and...Numeric Computations, May 13-15, 1987, Princeton, New Jersey. It present soon basic subjective observations about the history of numerical methods in...invited lecture at ACH Conference on the History of Scientific and Numeric Computations, May 13’-15, 1987, Princeton, New Jersey. It present some basic
NASA Computational Fluid Dynamics Conference. Volume 1: Sessions 1-6
NASA Technical Reports Server (NTRS)
1989-01-01
Presentations given at the NASA Computational Fluid Dynamics (CFD) Conference held at the NASA Ames Research Center, Moffett Field, California, March 7-9, 1989 are given. Topics covered include research facility overviews of CFD research and applications, validation programs, direct simulation of compressible turbulence, turbulence modeling, advances in Runge-Kutta schemes for solving 3-D Navier-Stokes equations, grid generation and invicid flow computation around aircraft geometries, numerical simulation of rotorcraft, and viscous drag prediction for rotor blades.
Coupling Between Metabolism and Compartmentalization: Vesicle Growth in the Presence of Dipeptides
NASA Technical Reports Server (NTRS)
Wei, C.; Pohorille, A.
2017-01-01
A fundamental unresolved question in studies on the origin of life is: how different, ubiquitous protocellular functions begun to work in concert setting the stage for Darwinian evolution of nascent life? From this perspective, of particular significance is coupling between growth of protocellular compartments and the encapsulated, primordial metabolism, which is one of the focal topics of the current ISSOL meeting. Specifically, growth and division of cells facilitated by the products of a metabolic reaction would confer an evolutionary advantage on protocells encapsulating this reaction, as their population would increase at the expense of other protocells. Along these lines, Adamala and Szostak have recently demonstrated that a dipeptide captured inside fatty acid vesicles catalyzes the formation of other dipeptides from activated monomers. Some of the newly synthesized dipeptides, in turn, are capable to promote competitive growth of vesicles in the presence of fatty acid micelles. As vesicles become larger, they adapt filamentous shape, which has been shown to promote their division. On the basis of computer simulations, we provide a molecularly detailed explanation of this process and draw conclusions about its generality.
Frontiers in Human Information Processing Conference
2008-02-25
Frontiers in Human Information Processing - Vision, Attention , Memory , and Applications: A Tribute to George Sperling, a Festschrift. We are grateful...with focus on the formal, computational, and mathematical approaches that unify the areas of vision, attention , and memory . The conference also...Information Processing Conference Final Report AFOSR GRANT # FA9550-07-1-0346 The AFOSR Grant # FA9550-07-1-0346 provided partial support for the Conference
Translations on Telecommunications Policy, Research and Development, Number 56
1978-10-18
conference to discuss the future of computer communications and their social impacts. The Fourth Inter- national Computer Communications Conference...standards, applications of light or satellite communications, international distribution of infor- mation and their political and social impacts...Berlin, September 25, TASS—A symposium devoted to the task of the mass media at the present stage of struggle for the economic independence, social
Analysis of Global Properties of Shapes
2010-06-01
Conference on Computer Vision (ICCV) ( Bejing , China , 2005), IEEE. [113] Thrun, S., and Wegbreit, B. Shape from symmetry. In Proceedings of the...International Conference on Computer Vision (ICCV) ( Bejing , China , 2005), IEEE. [114] Toshev, A., Shi, J., and Daniilidis, K. Image matching via saliency...applications ranging from sampling points to finding correspondences to shape simplification. Discrete variants of the Laplace-Beltrami opera - tor [108] and
ERIC Educational Resources Information Center
Ryan, William C., Ed.
The papers presented at the 1989 National Educational Computing Conference focused on ways of using technology to improve educational quality. Topics of the 50 papers and more than 120 abstracts provided in these proceedings include applications of artificial intelligence and the development of expert systems; authoring systems; using the computer…
NASA Astrophysics Data System (ADS)
Wang, Tianmin; Gao, Fei; Hu, Wangyu; Lai, Wensheng; Lu, Guang-Hong; Zu, Xiaotao
2009-09-01
The Ninth International Conference on Computer Simulation of Radiation Effects in Solids (COSIRES 2008) was hosted by Beihang University in Beijing, China from 12 to 17 October 2008. Started in 1992 in Berlin, Germany, this conference series has been held biennially in Santa Barbara, CA, USA (1994); Guildford, UK (1996); Okayama, Japan (1998); State College, PA, USA (2000); Dresden, Germany (2002); Helsinki Finland (2004); and Richland, WA USA (2006). The COSIRES conferences are the foremost international forum on the theory, development and application of advanced computer simulation methods and algorithms to achieve fundamental understanding and predictive modeling of the interaction of energetic particles and clusters with solids. As can be noticed in the proceedings of the COSIRES conferences, these computer simulation methods and algorithms have been proven to be very useful for the study of fundamental radiation effect processes, which are not easily accessible by experimental methods owing to small time and length scales. Moreover, with advance in computing power, they have remarkably been developed in the different scales ranging from meso to atomistic, and even down to electronic levels, as well as coupling of the different scales. They are now becoming increasingly applicable for materials processing and performance prediction in advance engineering and energy-production technologies.
Writing Conferences Using the Microcomputer.
ERIC Educational Resources Information Center
Pufahl, John
1986-01-01
Describes a teaching strategy using Apple IIe computers in a sequence of individual conferences. Includes asking questions while scrolling through the paper, showing students how to elaborate ideas by entering suggested changes and prompts in capital letters during the conference, and using a spelling checker to prompt revision (e.g., by compiling…
PREFACE: Euro-TMCS I: Theory, Modelling and Computational Methods for Semiconductors
NASA Astrophysics Data System (ADS)
Gómez-Campos, F. M.; Rodríguez-Bolívar, S.; Tomić, S.
2015-05-01
The present issue contains a selection of the best contributed works presented at the first Euro-TMCS conference (Theory, Modelling and Computational Methods for Semiconductors, European Session). The conference was held at Faculty of Sciences, Universidad de Granada, Spain on 28st-30st January 2015. This conference is the first European edition of the TMCS conference series which started in 2008 at the University of Manchester and has always been held in the United Kingdom. Four previous conferences have been previously carried out (Manchester 2008, York 2010, Leeds 2012 and Salford 2014). Euro-TMCS is run for three days; the first one devoted to giving invited tutorials, aimed particularly at students, on recent development of theoretical methods. On this occasion the session was focused on the presentation of widely-used computational methods for the modelling of physical processes in semiconductor materials. Freely available simulation software (SIESTA, Quantum Espresso and Yambo) as well as commercial software (TiberCad and MedeA) were presented in the conference by members of their development team, offering to the audience an overview of their capabilities for research. The second part of the conference showcased prestigious invited and contributed oral presentations, alongside poster sessions, in which direct discussion with authors was promoted. The scope of this conference embraces modelling, theory and the use of sophisticated computational tools in semiconductor science and technology. Theoretical approaches represented in this meeting included: Density Functional Theory, Semi-empirical Electronic Structure Methods, Multi-scale Approaches, Modelling of PV devices, Electron Transport, and Graphene. Topics included, but were not limited to: Optical Properties of Quantum Nanostructures including Colloids and Nanotubes, Plasmonics, Magnetic Semiconductors, Photonic Structures, and Electronic Devices. The Editors Acknowledgments: We would like to thank all participants for making this a very successful meeting and for their contribution to the conference programme and these proceedings. We would also like to acknowledge the financial support from Universidad de Granada, the CECAM UK-Hartree Node, project TEC2013-47283-R of Ministerio de Economía y Competitividad, and the company Materials Design (distributors of MedeA Software). Conference Organising Committee: Francisco M. Gómez-Campos (Co-chair, Universidad de Granada) Salvador Rodríguez-Bolívar (Co-chair, Universidad de Granada) Stanko Tomić (Co-chair, University of Salford)
Evolution of drug resistance in multiple distinct lineages of H5N1 avian influenza.
Hill, Andrew W; Guralnick, Robert P; Wilson, Meredith J C; Habib, Farhat; Janies, Daniel
2009-03-01
Some predict that influenza A H5N1 will be the cause of a pandemic among humans. In preparation for such an event, many governments and organizations have stockpiled antiviral drugs such as oseltamivir (Tamiflu). However, it is known that multiple lineages of H5N1 are already resistant to another class of drugs, adamantane derivatives, and a few lineages are resistant to oseltamivir. What is less well understood is the evolutionary history of the mutations that confer drug resistance in the H5N1 population. In order to address this gap, we conducted phylogenetic analyses of 676 genomic sequences of H5N1 and used the resulting hypotheses as a basis for asking 3 molecular evolutionary questions: (1) Have drug-resistant genotypes arisen in distinct lineages of H5N1 through point mutation or through reassortment? (2) Is there evidence for positive selection on the codons that lead to drug resistance? (3) Is there evidence for covariation between positions in the genome that confer resistance to drugs and other positions, unrelated to drug resistance, that may be under selection for other phenotypes? We also examine how drug-resistant lineages proliferate across the landscape by projecting or phylogenetic analysis onto a virtual globe. Our results for H5N1 show that in most cases drug resistance has arisen by independent point mutations rather than reassortment or covariation. Furthermore, we found that some codons that mediate resistance to adamantane derivatives are under positive selection, but did not find positive selection on codons that mediate resistance to oseltamivir. Together, our phylogenetic methods, molecular evolutionary analyses, and geographic visualization provide a framework for analysis of globally distributed genomic data that can be used to monitor the evolution of drug resistance.
CRITTERS! A Realistic Simulation for Teaching Evolutionary Biology
ERIC Educational Resources Information Center
Latham, Luke G., II; Scully, Erik P.
2008-01-01
Evolutionary processes can be studied in nature and in the laboratory, but time and financial constraints result in few opportunities for undergraduate and high school students to explore the agents of genetic change in populations. One alternative to time consuming and expensive teaching laboratories is the use of computer simulations. We…
Lim, C K; Smith, M C; Petty, J; Baumberg, S; Wootton, J C
1989-12-01
The aphD gene of Streptomyces griseus, encoding a streptomycin 6-phosphotransferase (SPH), was sub-cloned in the pBR322-based expression vector pRK9 (which contains the Serratia marcescens trp promoter) with selection for expression of streptomycin resistance in Escherichia coli. Two hybrid plasmids, pCKL631 and pCKL711, were isolated which conferred resistance. Both contained a approximately 2 kbp fragment already suspected to include aphD. The properties of in vitro deletion derivatives of these plasmids were consistent with the presumed location of aphD. In vitro deletion of a sequence including most of the trp promoter largely, but not quite completely, abolished the ability of the plasmid to confer streptomycin resistance, confirming that expression was indeed principally from the trp promoter. A polypeptide of approximately 34.5 kDa was present in minicells containing plasmids that conferred streptomycin resistance, but was absent when the plasmids contained in vitro deletions removing streptomycin resistance. Part of the fragment was sequenced and an open reading frame corresponding to aphD identified. A computer-assisted comparison of the deduced SPH sequence with those of other antibiotic phosphotransferases suggested a common structure A-B-C-D-E, where B and D were conserved between all sequences compared while A, C and E divided between the streptomycin and hygromycin B phosphotransferases on one hand and kanamycin/neomycin ones on the other. A composite sequence data base was searched for homologues to consensus matrices constructed from five approximately 12-residue subsequences within blocks B and D. For one subsequence, corresponding to the N-terminal portion of block D, those sequences from the database that yielded the highest homology scores comprised almost entirely either antibiotic phosphotransferases or eukaryotic protein kinases. Possible evolutionary implications of this homology, previously described by other groups, are discussed.
Visser, Marco D.; McMahon, Sean M.; Merow, Cory; Dixon, Philip M.; Record, Sydne; Jongejans, Eelke
2015-01-01
Computation has become a critical component of research in biology. A risk has emerged that computational and programming challenges may limit research scope, depth, and quality. We review various solutions to common computational efficiency problems in ecological and evolutionary research. Our review pulls together material that is currently scattered across many sources and emphasizes those techniques that are especially effective for typical ecological and environmental problems. We demonstrate how straightforward it can be to write efficient code and implement techniques such as profiling or parallel computing. We supply a newly developed R package (aprof) that helps to identify computational bottlenecks in R code and determine whether optimization can be effective. Our review is complemented by a practical set of examples and detailed Supporting Information material (S1–S3 Texts) that demonstrate large improvements in computational speed (ranging from 10.5 times to 14,000 times faster). By improving computational efficiency, biologists can feasibly solve more complex tasks, ask more ambitious questions, and include more sophisticated analyses in their research. PMID:25811842
An Adaptive Evolutionary Algorithm for Traveling Salesman Problem with Precedence Constraints
Sung, Jinmo; Jeong, Bongju
2014-01-01
Traveling sales man problem with precedence constraints is one of the most notorious problems in terms of the efficiency of its solution approach, even though it has very wide range of industrial applications. We propose a new evolutionary algorithm to efficiently obtain good solutions by improving the search process. Our genetic operators guarantee the feasibility of solutions over the generations of population, which significantly improves the computational efficiency even when it is combined with our flexible adaptive searching strategy. The efficiency of the algorithm is investigated by computational experiments. PMID:24701158
An adaptive evolutionary algorithm for traveling salesman problem with precedence constraints.
Sung, Jinmo; Jeong, Bongju
2014-01-01
Traveling sales man problem with precedence constraints is one of the most notorious problems in terms of the efficiency of its solution approach, even though it has very wide range of industrial applications. We propose a new evolutionary algorithm to efficiently obtain good solutions by improving the search process. Our genetic operators guarantee the feasibility of solutions over the generations of population, which significantly improves the computational efficiency even when it is combined with our flexible adaptive searching strategy. The efficiency of the algorithm is investigated by computational experiments.
Cancer Evolution: Mathematical Models and Computational Inference
Beerenwinkel, Niko; Schwarz, Roland F.; Gerstung, Moritz; Markowetz, Florian
2015-01-01
Cancer is a somatic evolutionary process characterized by the accumulation of mutations, which contribute to tumor growth, clinical progression, immune escape, and drug resistance development. Evolutionary theory can be used to analyze the dynamics of tumor cell populations and to make inference about the evolutionary history of a tumor from molecular data. We review recent approaches to modeling the evolution of cancer, including population dynamics models of tumor initiation and progression, phylogenetic methods to model the evolutionary relationship between tumor subclones, and probabilistic graphical models to describe dependencies among mutations. Evolutionary modeling helps to understand how tumors arise and will also play an increasingly important prognostic role in predicting disease progression and the outcome of medical interventions, such as targeted therapy. PMID:25293804
Mean-Potential Law in Evolutionary Games
NASA Astrophysics Data System (ADS)
Nałecz-Jawecki, Paweł; Miekisz, Jacek
2018-01-01
The Letter presents a novel way to connect random walks, stochastic differential equations, and evolutionary game theory. We introduce a new concept of a potential function for discrete-space stochastic systems. It is based on a correspondence between one-dimensional stochastic differential equations and random walks, which may be exact not only in the continuous limit but also in finite-state spaces. Our method is useful for computation of fixation probabilities in discrete stochastic dynamical systems with two absorbing states. We apply it to evolutionary games, formulating two simple and intuitive criteria for evolutionary stability of pure Nash equilibria in finite populations. In particular, we show that the 1 /3 law of evolutionary games, introduced by Nowak et al. [Nature, 2004], follows from a more general mean-potential law.
Open Issues in Evolutionary Robotics.
Silva, Fernando; Duarte, Miguel; Correia, Luís; Oliveira, Sancho Moura; Christensen, Anders Lyhne
2016-01-01
One of the long-term goals in evolutionary robotics is to be able to automatically synthesize controllers for real autonomous robots based only on a task specification. While a number of studies have shown the applicability of evolutionary robotics techniques for the synthesis of behavioral control, researchers have consistently been faced with a number of issues preventing the widespread adoption of evolutionary robotics for engineering purposes. In this article, we review and discuss the open issues in evolutionary robotics. First, we analyze the benefits and challenges of simulation-based evolution and subsequent deployment of controllers versus evolution on real robotic hardware. Second, we discuss specific evolutionary computation issues that have plagued evolutionary robotics: (1) the bootstrap problem, (2) deception, and (3) the role of genomic encoding and genotype-phenotype mapping in the evolution of controllers for complex tasks. Finally, we address the absence of standard research practices in the field. We also discuss promising avenues of research. Our underlying motivation is the reduction of the current gap between evolutionary robotics and mainstream robotics, and the establishment of evolutionary robotics as a canonical approach for the engineering of autonomous robots.
Toward a unifying framework for evolutionary processes.
Paixão, Tiago; Badkobeh, Golnaz; Barton, Nick; Çörüş, Doğan; Dang, Duc-Cuong; Friedrich, Tobias; Lehre, Per Kristian; Sudholt, Dirk; Sutton, Andrew M; Trubenová, Barbora
2015-10-21
The theory of population genetics and evolutionary computation have been evolving separately for nearly 30 years. Many results have been independently obtained in both fields and many others are unique to its respective field. We aim to bridge this gap by developing a unifying framework for evolutionary processes that allows both evolutionary algorithms and population genetics models to be cast in the same formal framework. The framework we present here decomposes the evolutionary process into its several components in order to facilitate the identification of similarities between different models. In particular, we propose a classification of evolutionary operators based on the defining properties of the different components. We cast several commonly used operators from both fields into this common framework. Using this, we map different evolutionary and genetic algorithms to different evolutionary regimes and identify candidates with the most potential for the translation of results between the fields. This provides a unified description of evolutionary processes and represents a stepping stone towards new tools and results to both fields. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.
ERIC Educational Resources Information Center
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.; Kommers, Piet, Ed.; Isaias, Pedro, Ed.
2017-01-01
These proceedings contain the papers of the International Conference e-Learning 2017, which was organised by the International Association for Development of the Information Society, 20-22 July, 2017. This conference is part of the Multi Conference on Computer Science and Information Systems 2017, 20-23 July, which had a total of 652 submissions.…
ERIC Educational Resources Information Center
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.
2013-01-01
These proceedings contain the papers of the International Conference e-Learning 2013, which was organised by the International Association for Development of the Information Society and is part of the Multi Conference on Computer Science and Information Systems (Prague, Czech Republic, July 23-26, 2013). The e-Learning 2013 conference aims to…
NASA Technical Reports Server (NTRS)
Harrington, James L., Jr.; Brown, Robin L.; Shukla, Pooja
1998-01-01
Seventh annual conference proceedings of the Minority University-SPace Interdisciplinary Network (MU-SPIN) conference. MU-SPIN is cosponsored by NASA Goddard Space Flight Center and the National Science Foundation, and is a comprehensive educational initiative for Historically Black Colleges and Universities, and minority universities. MU-SPIN focuses on the transfer of advanced computer networking technologies to these institutions and their use for supporting multidisciplinary research.
Program Bytes - Satellite Meetings, SIGs, and AKEs at ISMB 2016
Fogg, Christiana
2016-01-01
The International Society for Computational Biology (ISCB) is gearing up for its flagship meeting, ISMB. The conference is the world’s largest gathering of computational biology and bioinformatics researchers. The ISMB 2016 pre-conference program will feature 17 special interest group and satellite meetings over the course of two days. This article previews those special meetings at ISCB’s flagship meeting, ISMB. PMID:27347388
NASA Astrophysics Data System (ADS)
Caturla, M. J.; Abril, I.; Denton, C.; Martín-Bragado, I.
2015-06-01
The 12th edition of the International Conference on Computer Simulation of Radiation Effects in Solids (COSIRES2014) was held in Alicante (Alacant), Spain on June 8-13, organized by the University of Alacant. This conference series, which started in 1992 in Berlin, Germany, and that is held every two years, is now a well-established meeting where the latest developments in computer modeling of all forms of irradiation of materials are discussed.
ERIC Educational Resources Information Center
Harbusch, Karin; Itsova, Gergana; Koch, Ulrich; Kuhner, Christine
2009-01-01
We built a natural language processing (NLP) system implementing a "virtual writing conference" for elementary-school children, with German as the target language. Currently, state-of-the-art computer support for writing tasks is restricted to multiple-choice questions or quizzes because automatic parsing of the often ambiguous and fragmentary…
ERIC Educational Resources Information Center
Mote, F.W., Ed.
The two Chinese Linguistics Conferences held at Princeton in October 1966 and 1967 treated respectively (1) the relevance and specific application of computer methods to the problems of Chinese Linguistics and (2) a series of interrelated problems in teaching Chinese--dictionaries, courses in classical Chinese, and methods of teaching and…
DOE Office of Scientific and Technical Information (OSTI.GOV)
Hansmann, Ulrich H.E.
2012-07-02
This report summarizes the outcome of the international workshop From Computational Biophysics to Systems Biology (CBSB12) which was held June 3-5, 2012, at the University of Tennessee Conference Center in Knoxville, TN, and supported by DOE through the Conference Support Grant 120174. The purpose of CBSB12 was to provide a forum for the interaction between a data-mining interested systems biology community and a simulation and first-principle oriented computational biophysics/biochemistry community. CBSB12 was the sixth in a series of workshops of the same name organized in recent years, and the second that has been held in the USA. As in previousmore » years, it gave researchers from physics, biology, and computer science an opportunity to acquaint each other with current trends in computational biophysics and systems biology, to explore venues of cooperation, and to establish together a detailed understanding of cells at a molecular level. The conference grant of $10,000 was used to cover registration fees and provide travel fellowships to selected students and postdoctoral scientists. By educating graduate students and providing a forum for young scientists to perform research into the working of cells at a molecular level, the workshop adds to DOE's mission of paving the way to exploit the abilities of living systems to capture, store and utilize energy.« less
Conference Offers Girls Opportunity to Expand Career Horizons
math, science, technology and non-traditional occupations. The conference will take place Saturday of computers, math, engineering, natural sciences, medical sciences, public service and the
Peer-Selected “Best Papers”—Are They Really That “Good”?
Wainer, Jacques; Eckmann, Michael; Rocha, Anderson
2015-01-01
Background Peer evaluation is the cornerstone of science evaluation. In this paper, we analyze whether or not a form of peer evaluation, the pre-publication selection of the best papers in Computer Science (CS) conferences, is better than random, when considering future citations received by the papers. Methods Considering 12 conferences (for several years), we collected the citation counts from Scopus for both the best papers and the non-best papers. For a different set of 17 conferences, we collected the data from Google Scholar. For each data set, we computed the proportion of cases whereby the best paper has more citations. We also compare this proportion for years before 2010 and after to evaluate if there is a propaganda effect. Finally, we count the proportion of best papers that are in the top 10% and 20% most cited for each conference instance. Results The probability that a best paper will receive more citations than a non best paper is 0.72 (95% CI = 0.66, 0.77) for the Scopus data, and 0.78 (95% CI = 0.74, 0.81) for the Scholar data. There are no significant changes in the probabilities for different years. Also, 51% of the best papers are among the top 10% most cited papers in each conference/year, and 64% of them are among the top 20% most cited. Discussion There is strong evidence that the selection of best papers in Computer Science conferences is better than a random selection, and that a significant number of the best papers are among the top cited papers in the conference. PMID:25789480
Peer-selected "best papers"-are they really that "good"?
Wainer, Jacques; Eckmann, Michael; Rocha, Anderson
2015-01-01
Peer evaluation is the cornerstone of science evaluation. In this paper, we analyze whether or not a form of peer evaluation, the pre-publication selection of the best papers in Computer Science (CS) conferences, is better than random, when considering future citations received by the papers. Considering 12 conferences (for several years), we collected the citation counts from Scopus for both the best papers and the non-best papers. For a different set of 17 conferences, we collected the data from Google Scholar. For each data set, we computed the proportion of cases whereby the best paper has more citations. We also compare this proportion for years before 2010 and after to evaluate if there is a propaganda effect. Finally, we count the proportion of best papers that are in the top 10% and 20% most cited for each conference instance. The probability that a best paper will receive more citations than a non best paper is 0.72 (95% CI = 0.66, 0.77) for the Scopus data, and 0.78 (95% CI = 0.74, 0.81) for the Scholar data. There are no significant changes in the probabilities for different years. Also, 51% of the best papers are among the top 10% most cited papers in each conference/year, and 64% of them are among the top 20% most cited. There is strong evidence that the selection of best papers in Computer Science conferences is better than a random selection, and that a significant number of the best papers are among the top cited papers in the conference.
Confchem: Ensuring the Future through Education
ERIC Educational Resources Information Center
Jones, Loretta L.
2007-01-01
An online conference sponsored by the Executive Committee of the ACS Division of Chemical Education (DivCHED) was held on October 13-30, 2006. The conference is one of the CONFCHEM (CONFerences on CHEMistry) offerings of the Division's Committee on Computers in Chemical Education. Robert Belford (University of Arkansas at Little Rock) served as…
Ambient Human-to-Human Communication
NASA Astrophysics Data System (ADS)
Härmä, Aki
In the current technological landscape colored by environmental and security concerns the logic of replacing traveling by technical means of communications is undisputable. For example, consider a comparison between a normal family car and a video conference system with two laptop computers connected over the Internet. The power consumption of the car is approximately 25 kW while the two computers and their share of the power consumption in the intermediate routers in total is in the range of 50 W. Therefore, to meet a person using a car at an one hour driving distance is equivalent to 1000 hours of video conference. The difference in the costs is also increasing. An estimate on the same cost difference between travel and video conference twenty years ago gave only three days of continuous video conference for the same situation [29]. The cost of video conference depends on the duration of the session while traveling depends only on the distance. However, in a strict economical and environmental sense even a five minute trip by a car in 2008 becomes more economical than a video conference only when the meeting lasts more than three and half days.
Benard, Emmanuel; Michel, Christian J
2009-08-01
We present here the SEGM web server (Stochastic Evolution of Genetic Motifs) in order to study the evolution of genetic motifs both in the direct evolutionary sense (past-present) and in the inverse evolutionary sense (present-past). The genetic motifs studied can be nucleotides, dinucleotides and trinucleotides. As an example of an application of SEGM and to understand its functionalities, we give an analysis of inverse mutations of splice sites of human genome introns. SEGM is freely accessible at http://lsiit-bioinfo.u-strasbg.fr:8080/webMathematica/SEGM/SEGM.html directly or by the web site http://dpt-info.u-strasbg.fr/~michel/. To our knowledge, this SEGM web server is to date the only computational biology software in this evolutionary approach.
Biology Needs Evolutionary Software Tools: Let’s Build Them Right
Team, Galaxy; Goecks, Jeremy; Taylor, James
2018-01-01
Abstract Research in population genetics and evolutionary biology has always provided a computational backbone for life sciences as a whole. Today evolutionary and population biology reasoning are essential for interpretation of large complex datasets that are characteristic of all domains of today’s life sciences ranging from cancer biology to microbial ecology. This situation makes algorithms and software tools developed by our community more important than ever before. This means that we, developers of software tool for molecular evolutionary analyses, now have a shared responsibility to make these tools accessible using modern technological developments as well as provide adequate documentation and training. PMID:29688462
Gender differences in conference presentations: a consequence of self-selection?
Fanson, Kerry V.; Lanfear, Rob; Symonds, Matthew R.E.; Higgie, Megan
2014-01-01
Women continue to be under-represented in the sciences, with their representation declining at each progressive academic level. These differences persist despite long-running policies to ameliorate gender inequity. We compared gender differences in exposure and visibility at an evolutionary biology conference for attendees at two different academic levels: student and post-PhD academic. Despite there being almost exactly a 1:1 ratio of women and men attending the conference, we found that when considering only those who presented talks, women spoke for far less time than men of an equivalent academic level: on average student women presented for 23% less time than student men, and academic women presented for 17% less time than academic men. We conducted more detailed analyses to tease apart whether this gender difference was caused by decisions made by the attendees or through bias in evaluation of the abstracts. At both academic levels, women and men were equally likely to request a presentation. However, women were more likely than men to prefer a short talk, regardless of academic level. We discuss potential underlying reasons for this gender bias, and provide recommendations to avoid similar gender biases at future conferences. PMID:25346879
DOE Office of Scientific and Technical Information (OSTI.GOV)
NONE
2013-07-01
The Mathematics and Computation Division of the American Nuclear (ANS) and the Idaho Section of the ANS hosted the 2013 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M and C 2013). This proceedings contains over 250 full papers with topics ranging from reactor physics; radiation transport; materials science; nuclear fuels; core performance and optimization; reactor systems and safety; fluid dynamics; medical applications; analytical and numerical methods; algorithms for advanced architectures; and validation verification, and uncertainty quantification.
NASA Technical Reports Server (NTRS)
Vallee, J.; Gibbs, B.
1976-01-01
Between August 1975 and March 1976, two NASA projects with geographically separated participants used a computer-conferencing system developed by the Institute for the Future for portions of their work. Monthly usage statistics for the system were collected in order to examine the group and individual participation figures for all conferences. The conference transcripts were analysed to derive observations about the use of the medium. In addition to the results of these analyses, the attitudes of users and the major components of the costs of computer conferencing are discussed.
PREFACE: International Conference on Applied Sciences 2015 (ICAS2015)
NASA Astrophysics Data System (ADS)
Lemle, Ludovic Dan; Jiang, Yiwen
2016-02-01
The International Conference on Applied Sciences ICAS2015 took place in Wuhan, China on June 3-5, 2015 at the Military Economics Academy of Wuhan. The conference is regularly organized, alternatively in Romania and in P.R. China, by Politehnica University of Timişoara, Romania, and Military Economics Academy of Wuhan, P.R. China, with the joint aims to serve as a platform for exchange of information between various areas of applied sciences, and to promote the communication between the scientists of different nations, countries and continents. The topics of the conference cover a comprehensive spectrum of issues from: >Economical Sciences and Defense: Management Sciences, Business Management, Financial Management, Logistics, Human Resources, Crisis Management, Risk Management, Quality Control, Analysis and Prediction, Government Expenditure, Computational Methods in Economics, Military Sciences, National Security, and others... >Fundamental Sciences and Engineering: Interdisciplinary applications of physics, Numerical approximation and analysis, Computational Methods in Engineering, Metallic Materials, Composite Materials, Metal Alloys, Metallurgy, Heat Transfer, Mechanical Engineering, Mechatronics, Reliability, Electrical Engineering, Circuits and Systems, Signal Processing, Software Engineering, Data Bases, Modeling and Simulation, and others... The conference gathered qualified researchers whose expertise can be used to develop new engineering knowledge that has applicability potential in Engineering, Economics, Defense, etc. The number of participants was 120 from 11 countries (China, Romania, Taiwan, Korea, Denmark, France, Italy, Spain, USA, Jamaica, and Bosnia and Herzegovina). During the three days of the conference four invited and 67 oral talks were delivered. Based on the work presented at the conference, 38 selected papers have been included in this volume of IOP Conference Series: Materials Science and Engineering. These papers present new research in the various fields of Materials Engineering, Mechanical Engineering, Computers Engineering, and Electrical Engineering. It's our great pleasure to present this volume of IOP Conference Series: Materials Science and Engineering to the scientific community to promote further research in these areas. We sincerely hope that the papers published in this volume will contribute to the advancement of knowledge in the respective fields.
NASA Astrophysics Data System (ADS)
Akai, Hisazumi; Tsuneyuki, Shinji
2009-02-01
This special issue of Journal of Physics: Condensed Matter comprises selected papers from the proceedings of the 2nd International Conference on Quantum Simulators and Design (QSD2008) held in Tokyo, Japan, between 31 May and 3 June 2008. This conference was organized under the auspices of the Development of New Quantum Simulators and Quantum Design Grant-in-Aid for Scientific Research on Priority Areas, Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT). The conference focused on the development of first principles electronic structure calculations and their applications. The aim was to provide an opportunity for discussion on the progress in computational materials design and, in particular, the development of quantum simulators and quantum design. Computational materials design is a computational approach to the development of new materials. The essential ingredient is the use of quantum simulators to design a material that meets a given specification of properties and functionalities. For this to be successful, the quantum simulator should be very reliable and be applicable to systems of realistic size. During the conference, new methods of quantum simulation and quantum design were discussed including methods beyond the local density approximation of density functional theory, order-N methods, methods dealing with excitations and reactions, and the application of these methods to the design of novel materials, devices and systems. The conference provided an international forum for experimental and theoretical researchers to exchange ideas. A total of 220 delegates from eight countries participated in the conference. There were 13 invited talks, ten oral presentations and 120 posters. The 3rd International Conference on Quantum Simulators and Design will be held in Germany in the autumn of 2011.
Evolving Better Cars: Teaching Evolution by Natural Selection with a Digital Inquiry Activity
ERIC Educational Resources Information Center
Royer, Anne M.; Schultheis, Elizabeth H.
2014-01-01
Evolutionary experiments are usually difficult to perform in the classroom because of the large sizes and long timescales of experiments testing evolutionary hypotheses. Computer applications give students a window to observe evolution in action, allowing them to gain comfort with the process of natural selection and facilitating inquiry…
Memetic Algorithms, Domain Knowledge, and Financial Investing
ERIC Educational Resources Information Center
Du, Jie
2012-01-01
While the question of how to use human knowledge to guide evolutionary search is long-recognized, much remains to be done to answer this question adequately. This dissertation aims to further answer this question by exploring the role of domain knowledge in evolutionary computation as applied to real-world, complex problems, such as financial…
Bipartite graphs as models of population structures in evolutionary multiplayer games.
Peña, Jorge; Rochat, Yannick
2012-01-01
By combining evolutionary game theory and graph theory, "games on graphs" study the evolutionary dynamics of frequency-dependent selection in population structures modeled as geographical or social networks. Networks are usually represented by means of unipartite graphs, and social interactions by two-person games such as the famous prisoner's dilemma. Unipartite graphs have also been used for modeling interactions going beyond pairwise interactions. In this paper, we argue that bipartite graphs are a better alternative to unipartite graphs for describing population structures in evolutionary multiplayer games. To illustrate this point, we make use of bipartite graphs to investigate, by means of computer simulations, the evolution of cooperation under the conventional and the distributed N-person prisoner's dilemma. We show that several implicit assumptions arising from the standard approach based on unipartite graphs (such as the definition of replacement neighborhoods, the intertwining of individual and group diversity, and the large overlap of interaction neighborhoods) can have a large impact on the resulting evolutionary dynamics. Our work provides a clear example of the importance of construction procedures in games on graphs, of the suitability of bigraphs and hypergraphs for computational modeling, and of the importance of concepts from social network analysis such as centrality, centralization and bipartite clustering for the understanding of dynamical processes occurring on networked population structures.
Resistance and relatedness on an evolutionary graph
Maciejewski, Wes
2012-01-01
When investigating evolution in structured populations, it is often convenient to consider the population as an evolutionary graph—individuals as nodes, and whom they may act with as edges. There has, in recent years, been a surge of interest in evolutionary graphs, especially in the study of the evolution of social behaviours. An inclusive fitness framework is best suited for this type of study. A central requirement for an inclusive fitness analysis is an expression for the genetic similarity between individuals residing on the graph. This has been a major hindrance for work in this area as highly technical mathematics are often required. Here, I derive a result that links genetic relatedness between haploid individuals on an evolutionary graph to the resistance between vertices on a corresponding electrical network. An example that demonstrates the potential computational advantage of this result over contemporary approaches is provided. This result offers more, however, to the study of population genetics than strictly computationally efficient methods. By establishing a link between gene transfer and electric circuit theory, conceptualizations of the latter can enhance understanding of the former. PMID:21849384
NASA Astrophysics Data System (ADS)
Fischer, Peter; Schuegraf, Philipp; Merkle, Nina; Storch, Tobias
2018-04-01
This paper presents a hybrid evolutionary algorithm for fast intensity based matching between satellite imagery from SAR and very high-resolution (VHR) optical sensor systems. The precise and accurate co-registration of image time series and images of different sensors is a key task in multi-sensor image processing scenarios. The necessary preprocessing step of image matching and tie-point detection is divided into a search problem and a similarity measurement. Within this paper we evaluate the use of an evolutionary search strategy for establishing the spatial correspondence between satellite imagery of optical and radar sensors. The aim of the proposed algorithm is to decrease the computational costs during the search process by formulating the search as an optimization problem. Based upon the canonical evolutionary algorithm, the proposed algorithm is adapted for SAR/optical imagery intensity based matching. Extensions are drawn using techniques like hybridization (e.g. local search) and others to lower the number of objective function calls and refine the result. The algorithm significantely decreases the computational costs whilst finding the optimal solution in a reliable way.
ERIC Educational Resources Information Center
Bollier, David
This document presents summaries of conference presentations which attempted to assess how computer and communications technologies can be harnessed to meet the special needs of elderly people. Each of the eight sessions of the conference opened with experts discussing their respective research projects and electronic technologies: their origins,…
An evolutionary firefly algorithm for the estimation of nonlinear biological model parameters.
Abdullah, Afnizanfaizal; Deris, Safaai; Anwar, Sohail; Arjunan, Satya N V
2013-01-01
The development of accurate computational models of biological processes is fundamental to computational systems biology. These models are usually represented by mathematical expressions that rely heavily on the system parameters. The measurement of these parameters is often difficult. Therefore, they are commonly estimated by fitting the predicted model to the experimental data using optimization methods. The complexity and nonlinearity of the biological processes pose a significant challenge, however, to the development of accurate and fast optimization methods. We introduce a new hybrid optimization method incorporating the Firefly Algorithm and the evolutionary operation of the Differential Evolution method. The proposed method improves solutions by neighbourhood search using evolutionary procedures. Testing our method on models for the arginine catabolism and the negative feedback loop of the p53 signalling pathway, we found that it estimated the parameters with high accuracy and within a reasonable computation time compared to well-known approaches, including Particle Swarm Optimization, Nelder-Mead, and Firefly Algorithm. We have also verified the reliability of the parameters estimated by the method using an a posteriori practical identifiability test.
An Evolutionary Firefly Algorithm for the Estimation of Nonlinear Biological Model Parameters
Abdullah, Afnizanfaizal; Deris, Safaai; Anwar, Sohail; Arjunan, Satya N. V.
2013-01-01
The development of accurate computational models of biological processes is fundamental to computational systems biology. These models are usually represented by mathematical expressions that rely heavily on the system parameters. The measurement of these parameters is often difficult. Therefore, they are commonly estimated by fitting the predicted model to the experimental data using optimization methods. The complexity and nonlinearity of the biological processes pose a significant challenge, however, to the development of accurate and fast optimization methods. We introduce a new hybrid optimization method incorporating the Firefly Algorithm and the evolutionary operation of the Differential Evolution method. The proposed method improves solutions by neighbourhood search using evolutionary procedures. Testing our method on models for the arginine catabolism and the negative feedback loop of the p53 signalling pathway, we found that it estimated the parameters with high accuracy and within a reasonable computation time compared to well-known approaches, including Particle Swarm Optimization, Nelder-Mead, and Firefly Algorithm. We have also verified the reliability of the parameters estimated by the method using an a posteriori practical identifiability test. PMID:23469172
ERIC Educational Resources Information Center
Vergnaud, Gerard, Ed.; Rogalski, Janine, Ed.; Artique, Michele, Ed.
This proceedings of the annual conference of the International Group for the Psychology of Mathematics Education (PME) includes the following research papers: "A Model of Understanding Two-Digit Numeration and Computation" (H. Murray & A. Olivier); "The Computer Produces a Special Graphic Situation of Learning the Change of Coordinate System" (S.…
10th International Conference of Computational Methods in Sciences and Engineering
2014-12-22
Density Modulation ", in the 10th International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2014), April 4-7, 2014, Athens...ENGINEERING We organized the symposium, “Electronic Transport Properties in the Presence of Density Modulation ,” in the 10th International...Superlattices by Coplanar Waveguide Dr. Endo reported his recent experimental work on thermoelectric power of two-dimensional electron gases in the quantum
ERIC Educational Resources Information Center
Association Supporting Computer Users in Education, 2016
2016-01-01
The Association Supporting Computer Users in Education (ASCUE) initiated a refereed track for paper submissions to the conference in 2008. In fact, at the 2008 business meeting, the membership approved three different presentation tracks: refereed with 3 blind reviews for each paper, session with paper where the author submits a paper but it is…
ERIC Educational Resources Information Center
Malina, Robert M., Ed.; Eckert, Helen M., Ed.
Eleven conference papers explore physical activity in ancient societies as well as human adaptation of physical activities in modern society. The following papers are included: (1) "Physical Activity in Early and Modern Populations: An Evolutionary View" (Robert M. Malina); (2) "How Active Were Early Populations? or Squeezing the Fossil Record"…
EvolQG - An R package for evolutionary quantitative genetics
Melo, Diogo; Garcia, Guilherme; Hubbe, Alex; Assis, Ana Paula; Marroig, Gabriel
2016-01-01
We present an open source package for performing evolutionary quantitative genetics analyses in the R environment for statistical computing. Evolutionary theory shows that evolution depends critically on the available variation in a given population. When dealing with many quantitative traits this variation is expressed in the form of a covariance matrix, particularly the additive genetic covariance matrix or sometimes the phenotypic matrix, when the genetic matrix is unavailable and there is evidence the phenotypic matrix is sufficiently similar to the genetic matrix. Given this mathematical representation of available variation, the \\textbf{EvolQG} package provides functions for calculation of relevant evolutionary statistics; estimation of sampling error; corrections for this error; matrix comparison via correlations, distances and matrix decomposition; analysis of modularity patterns; and functions for testing evolutionary hypotheses on taxa diversification. PMID:27785352
Mean-Potential Law in Evolutionary Games.
Nałęcz-Jawecki, Paweł; Miękisz, Jacek
2018-01-12
The Letter presents a novel way to connect random walks, stochastic differential equations, and evolutionary game theory. We introduce a new concept of a potential function for discrete-space stochastic systems. It is based on a correspondence between one-dimensional stochastic differential equations and random walks, which may be exact not only in the continuous limit but also in finite-state spaces. Our method is useful for computation of fixation probabilities in discrete stochastic dynamical systems with two absorbing states. We apply it to evolutionary games, formulating two simple and intuitive criteria for evolutionary stability of pure Nash equilibria in finite populations. In particular, we show that the 1/3 law of evolutionary games, introduced by Nowak et al. [Nature, 2004], follows from a more general mean-potential law.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Tapia, Richard
1998-06-01
In June, The Center for Research on Parallel Computation (CRPC), an NSF-funded Science and Technology Center, hosted the 4th Annual Conference for African-American Reserachers in the Mathematical Sciences (CAARMS4) at Rice University. The main goal of this conference was to highlight current work by African-American researchers and graduate students in mathematics. This conference strengthened the mathematical sciences by encouraging the increased participation of African-American and underrepresented groups into the field, facilitating working relationships between them and helping to cultivate their careers. In addition to the talks there was a graduate student poster session and tutorials on topics in mathematics andmore » computer science. These talks, presentations, and discussions brought a broader perspective to the critical issues involving minority participation in mathematics.« less
Eukaryogenesis, how special really?
Booth, Austin; Doolittle, W Ford
2015-08-18
Eukaryogenesis is widely viewed as an improbable evolutionary transition uniquely affecting the evolution of life on this planet. However, scientific and popular rhetoric extolling this event as a singularity lacks rigorous evidential and statistical support. Here, we question several of the usual claims about the specialness of eukaryogenesis, focusing on both eukaryogenesis as a process and its outcome, the eukaryotic cell. We argue in favor of four ideas. First, the criteria by which we judge eukaryogenesis to have required a genuinely unlikely series of events 2 billion years in the making are being eroded by discoveries that fill in the gaps of the prokaryote:eukaryote "discontinuity." Second, eukaryogenesis confronts evolutionary theory in ways not different from other evolutionary transitions in individuality; parallel systems can be found at several hierarchical levels. Third, identifying which of several complex cellular features confer on eukaryotes a putative richer evolutionary potential remains an area of speculation: various keys to success have been proposed and rejected over the five-decade history of research in this area. Fourth, and perhaps most importantly, it is difficult and may be impossible to eliminate eukaryocentric bias from the measures by which eukaryotes as a whole are judged to have achieved greater success than prokaryotes as a whole. Overall, we question whether premises of existing theories about the uniqueness of eukaryogenesis and the greater evolutionary potential of eukaryotes have been objectively formulated and whether, despite widespread acceptance that eukaryogenesis was "special," any such notion has more than rhetorical value.
Eukaryogenesis, how special really?
Booth, Austin; Doolittle, W. Ford
2015-01-01
Eukaryogenesis is widely viewed as an improbable evolutionary transition uniquely affecting the evolution of life on this planet. However, scientific and popular rhetoric extolling this event as a singularity lacks rigorous evidential and statistical support. Here, we question several of the usual claims about the specialness of eukaryogenesis, focusing on both eukaryogenesis as a process and its outcome, the eukaryotic cell. We argue in favor of four ideas. First, the criteria by which we judge eukaryogenesis to have required a genuinely unlikely series of events 2 billion years in the making are being eroded by discoveries that fill in the gaps of the prokaryote:eukaryote “discontinuity.” Second, eukaryogenesis confronts evolutionary theory in ways not different from other evolutionary transitions in individuality; parallel systems can be found at several hierarchical levels. Third, identifying which of several complex cellular features confer on eukaryotes a putative richer evolutionary potential remains an area of speculation: various keys to success have been proposed and rejected over the five-decade history of research in this area. Fourth, and perhaps most importantly, it is difficult and may be impossible to eliminate eukaryocentric bias from the measures by which eukaryotes as a whole are judged to have achieved greater success than prokaryotes as a whole. Overall, we question whether premises of existing theories about the uniqueness of eukaryogenesis and the greater evolutionary potential of eukaryotes have been objectively formulated and whether, despite widespread acceptance that eukaryogenesis was “special,” any such notion has more than rhetorical value. PMID:25883267
Evolutionary versatility of eukaryotic protein domains revealed by their bigram networks
2011-01-01
Background Protein domains are globular structures of independently folded polypeptides that exert catalytic or binding activities. Their sequences are recognized as evolutionary units that, through genome recombination, constitute protein repertoires of linkage patterns. Via mutations, domains acquire modified functions that contribute to the fitness of cells and organisms. Recent studies have addressed the evolutionary selection that may have shaped the functions of individual domains and the emergence of particular domain combinations, which led to new cellular functions in multi-cellular animals. This study focuses on modeling domain linkage globally and investigates evolutionary implications that may be revealed by novel computational analysis. Results A survey of 77 completely sequenced eukaryotic genomes implies a potential hierarchical and modular organization of biological functions in most living organisms. Domains in a genome or multiple genomes are modeled as a network of hetero-duplex covalent linkages, termed bigrams. A novel computational technique is introduced to decompose such networks, whereby the notion of domain "networking versatility" is derived and measured. The most and least "versatile" domains (termed "core domains" and "peripheral domains" respectively) are examined both computationally via sequence conservation measures and experimentally using selected domains. Our study suggests that such a versatility measure extracted from the bigram networks correlates with the adaptivity of domains during evolution, where the network core domains are highly adaptive, significantly contrasting the network peripheral domains. Conclusions Domain recombination has played a major part in the evolution of eukaryotes attributing to genome complexity. From a system point of view, as the results of selection and constant refinement, networks of domain linkage are structured in a hierarchical modular fashion. Domains with high degree of networking versatility appear to be evolutionary adaptive, potentially through functional innovations. Domain bigram networks are informative as a model of biological functions. The networking versatility indices extracted from such networks for individual domains reflect the strength of evolutionary selection that the domains have experienced. PMID:21849086
Evolutionary versatility of eukaryotic protein domains revealed by their bigram networks.
Xie, Xueying; Jin, Jing; Mao, Yongyi
2011-08-18
Protein domains are globular structures of independently folded polypeptides that exert catalytic or binding activities. Their sequences are recognized as evolutionary units that, through genome recombination, constitute protein repertoires of linkage patterns. Via mutations, domains acquire modified functions that contribute to the fitness of cells and organisms. Recent studies have addressed the evolutionary selection that may have shaped the functions of individual domains and the emergence of particular domain combinations, which led to new cellular functions in multi-cellular animals. This study focuses on modeling domain linkage globally and investigates evolutionary implications that may be revealed by novel computational analysis. A survey of 77 completely sequenced eukaryotic genomes implies a potential hierarchical and modular organization of biological functions in most living organisms. Domains in a genome or multiple genomes are modeled as a network of hetero-duplex covalent linkages, termed bigrams. A novel computational technique is introduced to decompose such networks, whereby the notion of domain "networking versatility" is derived and measured. The most and least "versatile" domains (termed "core domains" and "peripheral domains" respectively) are examined both computationally via sequence conservation measures and experimentally using selected domains. Our study suggests that such a versatility measure extracted from the bigram networks correlates with the adaptivity of domains during evolution, where the network core domains are highly adaptive, significantly contrasting the network peripheral domains. Domain recombination has played a major part in the evolution of eukaryotes attributing to genome complexity. From a system point of view, as the results of selection and constant refinement, networks of domain linkage are structured in a hierarchical modular fashion. Domains with high degree of networking versatility appear to be evolutionary adaptive, potentially through functional innovations. Domain bigram networks are informative as a model of biological functions. The networking versatility indices extracted from such networks for individual domains reflect the strength of evolutionary selection that the domains have experienced.
Secular trends in new childhood epidemics: insights from evolutionary medicine.
Brüne, Martin; Hochberg, Ze'ev
2013-10-21
In the last few decades, pediatric medicine has observed a dramatic increase in the prevalence of hitherto rare illnesses, among which obesity, diabetes, allergies and other autoimmune diseases stand out. In addition, secular trends towards earlier onset of puberty and sexual activity contribute to the psychological problems of youth and adolescents. All this has occurred in spite of the improved health care provision for children, yet traditional concepts of medicine have failed to explain these new "epidemics". A recent conference and science school of the European Society of Paediatric Endocrinology (ESPE) in Acre, Israel, has taken up this challenge. Experts across disciplines including medicine, anthropology and developmental psychology discussed potential causes of childhood ill-health from an evolutionary point-of-view. Seen from an evolutionary vantage point, the "epidemics" of childhood obesity, diabetes and psychological dysfunction appear, in part, to be related to a mismatch between ancestral adaptations and novel environmental contingencies. These include changing exposures to pathogens, which impact on the function of the immune system, as well as changing patterns of parenting, which influence the timing of puberty and the risk for developing psychopathology.
Conducting survey research at nursing conferences.
Sleutel, M R
2001-01-01
Conferences can provide large numbers of potential subjects in one location, yet there is little published guidance on how to collect data at a conference site. A computer search revealed no citations on this topic. This article outlines a systematic strategy to plan and perform research at conferences. This article provides a step-by-step process to guide researchers in planning and conducting survey research at conferences. Initial components in planning data collection at a conference include making a timeline and getting permission. Detailed advanced planning involves specific strategies for attracting participants, and for distributing and collecting the questionnaires. Travel provisions and on-site logistical approaches are explained, followed by suggestions for post-conference activities.
ERIC Educational Resources Information Center
Robertson, Anne S., Ed.
The Families, Technology, and Education Conference was held in late 1997, when computer technology and the Internet were raising concerns as well as presenting new opportunities for parents. The conference papers in this collection are organized into six sections. Papers in the General Sessions section are: (1) "Reading the President's…
NASA Computational Fluid Dynamics Conference. Volume 2: Sessions 7-12
NASA Technical Reports Server (NTRS)
1989-01-01
The objectives of the conference were to disseminate CFD research results to industry and university CFD researchers, to promote synergy among NASA CFD researchers, and to permit feedback from researchers outside of NASA on issues pacing the discipline of CFD. The focus of the conference was on the application of CFD technology but also included fundamental activities.
ERIC Educational Resources Information Center
IEEE Conference on Software Engineering Education and Training, Proceedings (MS), 2012
2012-01-01
The Conference on Software Engineering Education and Training (CSEE&T) is the premier international peer-reviewed conference, sponsored by the Institute of Electrical and Electronics Engineers, Inc. (IEEE) Computer Society, which addresses all major areas related to software engineering education, training, and professionalism. This year, as…
ConfChem Conference on Flipped Classroom: Spring 2014 ConfChem Virtual Poster Session
ERIC Educational Resources Information Center
Belford, Robert E.; Stoltzfus, Matthew; Houseknecht, Justin B.
2015-01-01
This communication describes the virtual poster session of the Flipped Classroom online ConfChem conference that was hosted by the ACS CHED Committee on Computers in Chemical Education (CCCE) from May 9 to June 12, 2014. During the conference's online discussions, it became evident that multiple participants who were not presenting papers had been…
Networking as a Strategic Tool, 1991
NASA Technical Reports Server (NTRS)
1991-01-01
This conference focuses on the technological advances, pitfalls, requirements, and trends involved in planning and implementing an effective computer network system. The basic theme of the conference is networking as a strategic tool. Tutorials and conference presentations explore the technology and methods involved in this rapidly changing field. Future directions are explored from a global, as well as local, perspective.
ERIC Educational Resources Information Center
Hickerson, H. Thomas, Ed.
These conference proceedings contain 21 papers presented by users of the Selective Permutation Indexing (SPINDEX) system, designed by the National Archives to produce a variety of computer-generated bibliographic aids for archival holdings. Institutions participating in the SPINDEX users' conference represented government, church, university,…
ERIC Educational Resources Information Center
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John
2011-01-01
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
PREFACE: International Conference on Computing in High Energy and Nuclear Physics (CHEP 2012)
NASA Astrophysics Data System (ADS)
Ernst, Michael; Düllmann, Dirk; Rind, Ofer; Wong, Tony
2012-12-01
The International Conference on Computing in High Energy and Nuclear Physics (CHEP) was held at New York University on 21- 25 May 2012. CHEP is a major series of international conferences for physicists and computing professionals from the High Energy and Nuclear Physics community and related scientific and technical fields. The CHEP conference provides a forum to exchange information on computing progress and needs for the community, and to review recent, ongoing and future activities. CHEP conferences are held at roughly 18-month intervals, alternating between Europe, Asia, the Americas and other parts of the world. Recent CHEP conferences have been held in Taipei, Taiwan (2010); Prague, Czech Republic (2009); Victoria, Canada (2007); Mumbai, India (2006); Interlaken, Switzerland (2004); San Diego, United States (2003); Beijing, China (2001); Padova, Italy (2000). CHEP 2012 was organized by Brookhaven National Laboratory (BNL) and co-sponsored by New York University. The organizational structure for CHEP consists of an International Advisory Committee (IAC) which sets the overall themes of the conference, a Program Organizing Committee (POC) that oversees the program content, and a Local Organizing Committee (LOC) that is responsible for local arrangements (lodging, transportation and social events) and conference logistics (registration, program scheduling, conference site selection and conference proceedings). There were over 500 attendees with a program that included plenary sessions of invited speakers, a number of parallel sessions comprising around 125 oral and 425 poster presentations and industrial exhibitions. We thank all the presenters for the excellent scientific content of their contributions to the conference. Conference tracks covered topics on Online Computing, Event Processing, Distributed Processing and Analysis on Grids and Clouds, Computer Facilities, Production Grids and Networking, Software Engineering, Data Stores and Databases and Collaborative Tools. We would like to thank Brookhaven Science Associates, New York University, Blue Nest Events, the International Advisory Committee, the Program Committee and the Local Organizing Committee members for all their support and assistance. We also would like to acknowledge the support provided by the following sponsors: ACEOLE, Data Direct Networks, Dell, the European Middleware Initiative and Nexsan. Special thanks to the Program Committee members for their careful choice of conference contributions and enormous effort in reviewing and editing the conference proceedings. The next CHEP conference will be held in Amsterdam, the Netherlands on 14-18 October 2013. Conference Chair Michael Ernst (BNL) Program Committee Daniele Bonacorsi, University of Bologna, Italy Simone Campana, CERN, Switzerland Philippe Canal, Fermilab, United States Sylvain Chapeland, CERN, Switzerland Dirk Düllmann, CERN, Switzerland Johannes Elmsheuser, Ludwig Maximilian University of Munich, Germany Maria Girone, CERN, Switzerland Steven Goldfarb, University of Michigan, United States Oliver Gutsche, Fermilab, United States Benedikt Hegner, CERN, Switzerland Andreas Heiss, Karlsruhe Institute of Technology, Germany Peter Hristov, CERN, Switzerland Tony Johnson, SLAC, United States David Lange, LLNL, United States Adam Lyon, Fermilab, United States Remigius Mommsen, Fermilab, United States Axel Naumann, CERN, Switzerland Niko Neufeld, CERN, Switzerland Rolf Seuster, TRIUMF, Canada Local Organizing Committee Maureen Anderson, John De Stefano, Mariette Faulkner, Ognian Novakov, Ofer Rind, Tony Wong (BNL) Kyle Cranmer (NYU) International Advisory Committee Mohammad Al-Turany, GSI, Germany Lothar Bauerdick, Fermilab, United States Ian Bird, CERN, Switzerland Dominique Boutigny, IN2P3, France Federico Carminati, CERN, Switzerland Marco Cattaneo, CERN, Switzerland Gang Chen, Institute of High Energy Physics, China Peter Clarke, University of Edinburgh, United Kingdom Sridhara Dasu, University of Wisconsin-Madison, United States Günter Duckeck, Ludwig Maximilian University of Munich, Germany Richard Dubois, SLAC, United States Michael Ernst, BNL, United States Ian Fisk, Fermilab, United States Gonzalo Merino, PIC, Spain John Gordon, STFC-RAL, United Kingdom Volker Gülzow, DESY, Germany Frederic Hemmer, CERN, Switzerland Viatcheslav Ilyin, Moscow State University, Russia Nobuhiko Katayama, KEK, Japan Alexei Klimentov, BNL, United States Simon C. Lin, Academia Sinica, Taiwan Milos Lokajícek, FZU Prague, Czech Republic David Malon, ANL, United States Pere Mato Vila, CERN, Switzerland Mauro Morandin, INFN CNAF, Italy Harvey Newman, Caltech, United States Farid Ould-Saada, University of Oslo, Norway Ruth Pordes, Fermilab, United States Hiroshi Sakamoto, University of Tokyo, Japan Alberto Santoro, UERJ, Brazil Jim Shank, Boston University, United States Dongchul Son, Kyungpook National University, South Korea Reda Tafirout, TRIUMF, Canada Stephen Wolbers, Fermilab, United States Frank Wuerthwein, UCSD, United States
Computers in Undergraduate Science Education. Conference Proceedings.
ERIC Educational Resources Information Center
Blum, Ronald, Ed.
Six areas of computer use in undergraduate education, particularly in the fields of mathematics and physics, are discussed in these proceedings. The areas included are: the computational mode; computer graphics; the simulation mode; analog computing; computer-assisted instruction; and the current politics and management of college level computer…
Evolutionary computing for the design search and optimization of space vehicle power subsystems
NASA Technical Reports Server (NTRS)
Kordon, Mark; Klimeck, Gerhard; Hanks, David; Hua, Hook
2004-01-01
Evolutionary computing has proven to be a straightforward and robust approach for optimizing a wide range of difficult analysis and design problems. This paper discusses the application of these techniques to an existing space vehicle power subsystem resource and performance analysis simulation in a parallel processing environment. Out preliminary results demonstrate that this approach has the potential to improve the space system trade study process by allowing engineers to statistically weight subsystem goals of mass, cost and performance then automatically size power elements based on anticipated performance of the subsystem rather than on worst-case estimates.
The Evolution of Biological Complexity in Digital Organisms
NASA Astrophysics Data System (ADS)
Ofria, Charles
2013-03-01
When Darwin first proposed his theory of evolution by natural selection, he realized that it had a problem explaining the origins of traits of ``extreme perfection and complication'' such as the vertebrate eye. Critics of Darwin's theory have latched onto this perceived flaw as a proof that Darwinian evolution is impossible. In anticipation of this issue, Darwin described the perfect data needed to understand this process, but lamented that such data are ``scarcely ever possible'' to obtain. In this talk, I will discuss research where we use populations of digital organisms (self-replicating and evolving computer programs) to elucidate the genetic and evolutionary processes by which new, highly-complex traits arise, drawing inspiration directly from Darwin's wistful thinking and hypotheses. During the process of evolution in these fully-transparent computational environments we can measure the incorporation of new information into the genome, a process akin to a natural Maxwell's Demon, and identify the original source of any such information. We show that, as Darwin predicted, much of the information used to encode a complex trait was already in the genome as part of simpler evolved traits, and that many routes must be possible for a new complex trait to have a high probability of successfully evolving. In even more extreme examples of the evolution of complexity, we are now using these same principles to examine the evolutionary dynamics the drive major transitions in evolution; that is transitions to higher-levels of organization, which are some of the most complex evolutionary events to occur in nature. Finally, I will explore some of the implications of this research to other aspects of evolutionary biology and as well as ways that these evolutionary principles can be applied toward solving computational and engineering problems.
Artificial intelligence in peer review: How can evolutionary computation support journal editors?
Mrowinski, Maciej J; Fronczak, Piotr; Fronczak, Agata; Ausloos, Marcel; Nedic, Olgica
2017-01-01
With the volume of manuscripts submitted for publication growing every year, the deficiencies of peer review (e.g. long review times) are becoming more apparent. Editorial strategies, sets of guidelines designed to speed up the process and reduce editors' workloads, are treated as trade secrets by publishing houses and are not shared publicly. To improve the effectiveness of their strategies, editors in small publishing groups are faced with undertaking an iterative trial-and-error approach. We show that Cartesian Genetic Programming, a nature-inspired evolutionary algorithm, can dramatically improve editorial strategies. The artificially evolved strategy reduced the duration of the peer review process by 30%, without increasing the pool of reviewers (in comparison to a typical human-developed strategy). Evolutionary computation has typically been used in technological processes or biological ecosystems. Our results demonstrate that genetic programs can improve real-world social systems that are usually much harder to understand and control than physical systems.
Evolutionary fuzzy modeling human diagnostic decisions.
Peña-Reyes, Carlos Andrés
2004-05-01
Fuzzy CoCo is a methodology, combining fuzzy logic and evolutionary computation, for constructing systems able to accurately predict the outcome of a human decision-making process, while providing an understandable explanation of the underlying reasoning. Fuzzy logic provides a formal framework for constructing systems exhibiting both good numeric performance (accuracy) and linguistic representation (interpretability). However, fuzzy modeling--meaning the construction of fuzzy systems--is an arduous task, demanding the identification of many parameters. To solve it, we use evolutionary computation techniques (specifically cooperative coevolution), which are widely used to search for adequate solutions in complex spaces. We have successfully applied the algorithm to model the decision processes involved in two breast cancer diagnostic problems, the WBCD problem and the Catalonia mammography interpretation problem, obtaining systems both of high performance and high interpretability. For the Catalonia problem, an evolved system was embedded within a Web-based tool-called COBRA-for aiding radiologists in mammography interpretation.
Understanding Evolutionary Potential in Virtual CPU Instruction Set Architectures
Bryson, David M.; Ofria, Charles
2013-01-01
We investigate fundamental decisions in the design of instruction set architectures for linear genetic programs that are used as both model systems in evolutionary biology and underlying solution representations in evolutionary computation. We subjected digital organisms with each tested architecture to seven different computational environments designed to present a range of evolutionary challenges. Our goal was to engineer a general purpose architecture that would be effective under a broad range of evolutionary conditions. We evaluated six different types of architectural features for the virtual CPUs: (1) genetic flexibility: we allowed digital organisms to more precisely modify the function of genetic instructions, (2) memory: we provided an increased number of registers in the virtual CPUs, (3) decoupled sensors and actuators: we separated input and output operations to enable greater control over data flow. We also tested a variety of methods to regulate expression: (4) explicit labels that allow programs to dynamically refer to specific genome positions, (5) position-relative search instructions, and (6) multiple new flow control instructions, including conditionals and jumps. Each of these features also adds complication to the instruction set and risks slowing evolution due to epistatic interactions. Two features (multiple argument specification and separated I/O) demonstrated substantial improvements in the majority of test environments, along with versions of each of the remaining architecture modifications that show significant improvements in multiple environments. However, some tested modifications were detrimental, though most exhibit no systematic effects on evolutionary potential, highlighting the robustness of digital evolution. Combined, these observations enhance our understanding of how instruction architecture impacts evolutionary potential, enabling the creation of architectures that support more rapid evolution of complex solutions to a broad range of challenges. PMID:24376669
A framework for evolutionary systems biology
Loewe, Laurence
2009-01-01
Background Many difficult problems in evolutionary genomics are related to mutations that have weak effects on fitness, as the consequences of mutations with large effects are often simple to predict. Current systems biology has accumulated much data on mutations with large effects and can predict the properties of knockout mutants in some systems. However experimental methods are too insensitive to observe small effects. Results Here I propose a novel framework that brings together evolutionary theory and current systems biology approaches in order to quantify small effects of mutations and their epistatic interactions in silico. Central to this approach is the definition of fitness correlates that can be computed in some current systems biology models employing the rigorous algorithms that are at the core of much work in computational systems biology. The framework exploits synergies between the realism of such models and the need to understand real systems in evolutionary theory. This framework can address many longstanding topics in evolutionary biology by defining various 'levels' of the adaptive landscape. Addressed topics include the distribution of mutational effects on fitness, as well as the nature of advantageous mutations, epistasis and robustness. Combining corresponding parameter estimates with population genetics models raises the possibility of testing evolutionary hypotheses at a new level of realism. Conclusion EvoSysBio is expected to lead to a more detailed understanding of the fundamental principles of life by combining knowledge about well-known biological systems from several disciplines. This will benefit both evolutionary theory and current systems biology. Understanding robustness by analysing distributions of mutational effects and epistasis is pivotal for drug design, cancer research, responsible genetic engineering in synthetic biology and many other practical applications. PMID:19239699
A Bright Future for Evolutionary Methods in Drug Design.
Le, Tu C; Winkler, David A
2015-08-01
Most medicinal chemists understand that chemical space is extremely large, essentially infinite. Although high-throughput experimental methods allow exploration of drug-like space more rapidly, they are still insufficient to fully exploit the opportunities that such large chemical space offers. Evolutionary methods can synergistically blend automated synthesis and characterization methods with computational design to identify promising regions of chemical space more efficiently. We describe how evolutionary methods are implemented, and provide examples of published drug development research in which these methods have generated molecules with increased efficacy. We anticipate that evolutionary methods will play an important role in future drug discovery. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
An evolutionary algorithm that constructs recurrent neural networks.
Angeline, P J; Saunders, G M; Pollack, J B
1994-01-01
Standard methods for simultaneously inducing the structure and weights of recurrent neural networks limit every task to an assumed class of architectures. Such a simplification is necessary since the interactions between network structure and function are not well understood. Evolutionary computations, which include genetic algorithms and evolutionary programming, are population-based search methods that have shown promise in many similarly complex tasks. This paper argues that genetic algorithms are inappropriate for network acquisition and describes an evolutionary program, called GNARL, that simultaneously acquires both the structure and weights for recurrent networks. GNARL's empirical acquisition method allows for the emergence of complex behaviors and topologies that are potentially excluded by the artificial architectural constraints imposed in standard network induction methods.
EvoluZion: A Computer Simulator for Teaching Genetic and Evolutionary Concepts
ERIC Educational Resources Information Center
Zurita, Adolfo R.
2017-01-01
EvoluZion is a forward-in-time genetic simulator developed in Java and designed to perform real time simulations on the evolutionary history of virtual organisms. These model organisms harbour a set of 13 genes that codify an equal number of phenotypic features. These genes change randomly during replication, and mutant genes can have null,…
ERIC Educational Resources Information Center
Friedman, Stan, Sr.
2004-01-01
This article describes the results of the 19th annual Computers in Libraries Conference in Washington, DC on March 10-12, 2004. The conference peered into the future, drew lessons from the past, and ran like clockwork. Program chair Jane Dysart and her organizing committee are by now old hands, bringing together three keynote addresses, 100…
Investigation of a Neural Network Implementation of a TCP Packet Anomaly Detection System
2004-05-01
reconnatre les nouvelles variantes d’attaque. Les réseaux de neurones artificiels (ANN) ont les capacités d’apprendre à partir de schémas et de...Computational Intelligence Techniques in Intrusion Detection Systems. In IASTED International Conference on Neural Networks and Computational Intelligence , pp...Neural Network Training: Overfitting May be Harder than Expected. In Proceedings of the Fourteenth National Conference on Artificial Intelligence , AAAI-97
An Evolutionary Cascade Model for Sauropod Dinosaur Gigantism - Overview, Update and Tests
Sander, P. Martin
2013-01-01
Sauropod dinosaurs are a group of herbivorous dinosaurs which exceeded all other terrestrial vertebrates in mean and maximal body size. Sauropod dinosaurs were also the most successful and long-lived herbivorous tetrapod clade, but no abiological factors such as global environmental parameters conducive to their gigantism can be identified. These facts justify major efforts by evolutionary biologists and paleontologists to understand sauropods as living animals and to explain their evolutionary success and uniquely gigantic body size. Contributions to this research program have come from many fields and can be synthesized into a biological evolutionary cascade model of sauropod dinosaur gigantism (sauropod gigantism ECM). This review focuses on the sauropod gigantism ECM, providing an updated version based on the contributions to the PLoS ONE sauropod gigantism collection and on other very recent published evidence. The model consist of five separate evolutionary cascades (“Reproduction”, “Feeding”, “Head and neck”, “Avian-style lung”, and “Metabolism”). Each cascade starts with observed or inferred basal traits that either may be plesiomorphic or derived at the level of Sauropoda. Each trait confers hypothetical selective advantages which permit the evolution of the next trait. Feedback loops in the ECM consist of selective advantages originating from traits higher in the cascades but affecting lower traits. All cascades end in the trait “Very high body mass”. Each cascade is linked to at least one other cascade. Important plesiomorphic traits of sauropod dinosaurs that entered the model were ovipary as well as no mastication of food. Important evolutionary innovations (derived traits) were an avian-style respiratory system and an elevated basal metabolic rate. Comparison with other tetrapod lineages identifies factors limiting body size. PMID:24205267
An evolutionary cascade model for sauropod dinosaur gigantism--overview, update and tests.
Sander, P Martin
2013-01-01
Sauropod dinosaurs are a group of herbivorous dinosaurs which exceeded all other terrestrial vertebrates in mean and maximal body size. Sauropod dinosaurs were also the most successful and long-lived herbivorous tetrapod clade, but no abiological factors such as global environmental parameters conducive to their gigantism can be identified. These facts justify major efforts by evolutionary biologists and paleontologists to understand sauropods as living animals and to explain their evolutionary success and uniquely gigantic body size. Contributions to this research program have come from many fields and can be synthesized into a biological evolutionary cascade model of sauropod dinosaur gigantism (sauropod gigantism ECM). This review focuses on the sauropod gigantism ECM, providing an updated version based on the contributions to the PLoS ONE sauropod gigantism collection and on other very recent published evidence. The model consist of five separate evolutionary cascades ("Reproduction", "Feeding", "Head and neck", "Avian-style lung", and "Metabolism"). Each cascade starts with observed or inferred basal traits that either may be plesiomorphic or derived at the level of Sauropoda. Each trait confers hypothetical selective advantages which permit the evolution of the next trait. Feedback loops in the ECM consist of selective advantages originating from traits higher in the cascades but affecting lower traits. All cascades end in the trait "Very high body mass". Each cascade is linked to at least one other cascade. Important plesiomorphic traits of sauropod dinosaurs that entered the model were ovipary as well as no mastication of food. Important evolutionary innovations (derived traits) were an avian-style respiratory system and an elevated basal metabolic rate. Comparison with other tetrapod lineages identifies factors limiting body size.
PREFACE: 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015)
NASA Astrophysics Data System (ADS)
Sakamoto, H.; Bonacorsi, D.; Ueda, I.; Lyon, A.
2015-12-01
The International Conference on Computing in High Energy and Nuclear Physics (CHEP) is a major series of international conferences intended to attract physicists and computing professionals to discuss on recent developments and trends in software and computing for their research communities. Experts from the high energy and nuclear physics, computer science, and information technology communities attend CHEP events. This conference series provides an international forum to exchange experiences and the needs of a wide community, and to present and discuss recent, ongoing, and future activities. At the beginning of the successful series of CHEP conferences in 1985, the latest developments in embedded systems, networking, vector and parallel processing were presented in Amsterdam. The software and computing ecosystem massively evolved since then, and along this path each CHEP event has marked a step further. A vibrant community of experts on a wide range of different high-energy and nuclear physics experiments, as well as technology explorer and industry contacts, attend and discuss the present and future challenges, and shape the future of an entire community. In such a rapidly evolving area, aiming to capture the state-of-the-art on software and computing through a collection of proceedings papers on a journal is a big challenge. Due to the large attendance, the final papers appear on the journal a few months after the conference is over. Additionally, the contributions often report about studies at very heterogeneous statuses, namely studies that are completed, or are just started, or yet to be done. It is not uncommon that by the time a specific paper appears on the journal some of the work is over a year old, or the investigation actually happened in different directions and with different methodologies than originally presented at the conference just a few months before. And by the time the proceedings appear in journal form, new ideas and explorations have quickly formed, have already started, and presumably have also followed previously unpredictable directions. In this scenario, it is normal and healthy for the entire community to question itself as of whether it is a set of proceedings the best way to document and communicate to peers (present and future) the work that has been done at a precise time and the vivid and live ideas of a precise moment in the evolution of the discipline. Pointing the attention to a specific CHEP event alone does not give the right answer: in fact, the heritage value lies in the quality and continuity of the documentation work, despite the changes of times, trends and actors. The CHEP proceedings, in their variety and thanks to the condensed form of knowledge they offer, are what most likely will be more easily preserved for future generations, thanks to the outstanding efforts over digital libraries for all kinds of cultural heritage. Since 1985, this long-standing tradition continued with the 21st CHEP edition in Okinawa. The successful model that brings together high-energy and nuclear physicist and computer scientists was repeated in the Okinawa prefecture, an outstanding location consisting of a few dozen small islands in the southern half of the Nansei Shoto, the island chain which stretches over about one thousand kilometres from Kyushu to Taiwan. The OIST (Okinawa Institute of Science and Technology) centre hosted the event, and offered an outstanding location and efficient facilities for the event. As for the CHEP history, contributions from 'general purpose' physics experiments mixed together with highly specialized work on the frontier of precision and intensity. The year 2015 is marked by the LHC restart in Run 2. Experimental groups at the LHC reviewed and presented their Run 1 experiences in detail, and reported the work done in acquiring the latest computing and software technologies, as well as in evolving their computing models in preparation for Run 2 (and beyond). On the side of the intensity frontier, 2015 is also the start of Super-KEKB commissioning. Fixed-target experiments at CERN, Fermilab and J-PARC are growing bigger in size. In the field of nuclear physics, FAIR is under construction and RHIC well engaged into its Phase-II research program facing increased datasets and new challenges with precision physics. For the future, developments are progressing towards the construction of ILC. In all these projects, computing and software will be even more important than before. Beyond those examples, non-accelerator experiments reported on their search for novel computing models as their apparatus and operation become larger and more distributed. The CHEP edition in Okinawa explored the synergy of HEP experimental physicists and computer scientists with data engineers and data scientists even further. Many area of research are covered, and the techniques developed and adopted are presented in a richness and diversity never seen before. In numbers, CHEP 2015 attracted a very high number of oral and poster contribution, 535 in total, and hosted 450 participants from 28 countries. For the first time in the conference history, a system of 'keywords' at the abstracts submission time was set up and exploited to produce conference tracks depending on the topics covered in the proposed contributions. Authors were asked to select some 'application keywords' and/or 'technology keywords' to specify the content of their contribution. A bottom-up approach that was tried at CHEP 2015 in Okinawa for the first time in the history of this conference series, this encountered vast satisfaction both in the International Advisory Committee and among the conference attendees. This process created 8 topical tracks, well balanced in content, manageable in terms of number of contributions, and able to create the adequate discussion space for trend topics (e.g. cloud computing and virtualization). CHEP 2015 hosted contributions on online computing; offline software; data store and access; middleware, software development and tools, experiment frameworks, tools for distributed computing; computing activities and computing models; facilities, infrastructure, network; clouds and virtualization; performance increase and optimization exploiting hardware features. Throughout the entire process, we were blessed with a forward-looking group of competent colleagues in our International Advisory Committee, whom we warmly thank. All the individuals in the Program Committee team, who put together the technical tracks of the conference and reviewed all papers to prepare the sections of this proceedings journal, have to be credited for their outstanding work. And of course the gratitude goes to all people who submitted a contribution, presented it, and spent time to prepare a careful paper to document the work. These people, in the first place, are the main authors of the big success that CHEP continues to be. After almost 30 years, and 21 CHEP editions, this conference cycle continues to stay strong and to evolve in rapidly changing times towards a challenging future, covering new grounds and intercepting new trends as our field of research evolves. The next stop in this journey will be at the 22nd CHEP Conference on October 12th-14th, in San Francisco, hosted by SLAC and LBNL.
Generative Representations for Computer-Automated Evolutionary Design
NASA Technical Reports Server (NTRS)
Hornby, Gregory S.
2006-01-01
With the increasing computational power of computers, software design systems are progressing from being tools for architects and designers to express their ideas to tools capable of creating designs under human guidance. One of the main limitations for these computer-automated design systems is the representation with which they encode designs. If the representation cannot encode a certain design, then the design system cannot produce it. To be able to produce new types of designs, and not just optimize pre-defined parameterizations, evolutionary design systems must use generative representations. Generative representations are assembly procedures, or algorithms, for constructing a design thereby allowing for truly novel design solutions to be encoded. In addition, by enabling modularity, regularity and hierarchy, the level of sophistication that can be evolved is increased. We demonstrate the advantages of generative representations on two different design domains: the evolution of spacecraft antennas and the evolution of 3D objects.
ERIC Educational Resources Information Center
Frontiers in Education Conference (MS), 2012
2012-01-01
The lifetime of Frontiers in Education (FIE), 42 years and counting, has been a time of many innovations in engineering and computing education. The FIE Conference has become the premiere conference for presentation and discussion of excellent educational research and innovative curricula in engineering education. This accomplishment would not…
ERIC Educational Resources Information Center
Association for the Development of Computer-based Instructional Systems.
The theme of the 31st Conference of the International Association for the Development of Computer-Based Instructional Systems (ADCIS) was "Creativity through Analogy." This collection of conference presentations contains 66 papers and 131 abstracts for which there are no formal papers. The papers and abstracts are presented in two separate…
General Information: Chapman Conference on Magnetospheric Current Systems
NASA Technical Reports Server (NTRS)
Spicer, Daniel S.; Curtis, Steven
1999-01-01
The goal of this conference is to address recent achievements of observational, computational, theoretical, and modeling studies, and to foster communication among people working with different approaches. Electric current systems play an important role in the energetics of the magnetosphere. This conference will target outstanding issues related to magnetospheric current systems, placing its emphasis on interregional processes and driving mechanisms of current systems.
PREFACE: 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP2013)
NASA Astrophysics Data System (ADS)
Groep, D. L.; Bonacorsi, D.
2014-06-01
In this age and time, capturing 'state of the art' of computing in a conference proceedings gets to be increasingly hard. It is quite common too for the submitted abstracts to refer to studies yet to be done - and the time span between abstract submission and the actual conference is often less than six months. By the time the proceedings appear in journal form, a similar period after its closing session, some of the work is over a year old, by which time new ideas will have been formed and the deployment of current ones progressed - at times beyond recognition. The preface is continued in the pdf.
Cancer evolution: mathematical models and computational inference.
Beerenwinkel, Niko; Schwarz, Roland F; Gerstung, Moritz; Markowetz, Florian
2015-01-01
Cancer is a somatic evolutionary process characterized by the accumulation of mutations, which contribute to tumor growth, clinical progression, immune escape, and drug resistance development. Evolutionary theory can be used to analyze the dynamics of tumor cell populations and to make inference about the evolutionary history of a tumor from molecular data. We review recent approaches to modeling the evolution of cancer, including population dynamics models of tumor initiation and progression, phylogenetic methods to model the evolutionary relationship between tumor subclones, and probabilistic graphical models to describe dependencies among mutations. Evolutionary modeling helps to understand how tumors arise and will also play an increasingly important prognostic role in predicting disease progression and the outcome of medical interventions, such as targeted therapy. © The Author(s) 2014. Published by Oxford University Press on behalf of the Society of Systematic Biologists.
ERIC Educational Resources Information Center
Journal of Engineering Education, 1972
1972-01-01
Includes abstracts of papers presented at the 80th Annual Conference of the American Society for Engineering Education. The broad areas include aerospace, affiliate and associate member council, agricultural engineering, biomedical engineering, continuing engineering studies, chemical engineering, civil engineering, computers, cooperative…
ERIC Educational Resources Information Center
Engineering Education, 1976
1976-01-01
Presents the abstracts of 158 papers presented at the American Society for Engineering Education's annual conference at Knoxville, Tennessee, June 14-17, 1976. Included are engineering topics covering education, aerospace, agriculture, biomedicine, chemistry, computers, electricity, acoustics, environment, mechanics, and women. (SL)
ERIC Educational Resources Information Center
Collins, Allan
2002-01-01
Features comments on the Center for Innovative Learning Technologies (CILT) conference held in 2000 and addresses the five thematic areas around which the conference was organized, namely assessment, professional development, visualization and modeling, ubiquitous computing, and equity. (Author/YDS)
A Conference on Three-Dimensional Representation held in University of Minnesota on 24-26 May 1989
NASA Astrophysics Data System (ADS)
Biederman, Irving
1989-06-01
This is the final report for a conference grant entitled: A conference on Three-Dimensional Representation. The two and one-half day conference was held at the University of Minn. on May 24 to 26, 1989 to evaluate the current status of problem associated with three-dimensional representations from current computational, psychological, development, and neurophysiological perspectives. Nineteen presentations were made spanning these approaches. One hundred sixty-six individuals attended the conference. Of 44 evaluations received, 75 percent rated the conference as excellent, 20 percent as good, and 5 percent as fair. None rated it poor. The report consists of the original and revised program, conference abstracts evaluation summary and the rooster of attendees.
Work on the physics of ultracold atoms in Russia
NASA Astrophysics Data System (ADS)
Kolachevsky, N. N.; Taichenachev, A. V.
2018-05-01
In December 2017, the regular All-Russian Conference 'Physics of Ultracold Atoms' was held. Several tens of Russian scientists from major scientific centres of the country, as well as a number of leading foreign scientists took part in the Conference. The Conference topics covered a wide range of urgent problems: quantum metrology, quantum gases, waves of matter, spectroscopy, quantum computing, and laser cooling. This issue of Quantum Electronics publishes the papers reported at the conference and selected for the Journal by the Organising committee.
2014-09-01
chondroitin sulfate A proteoglycans present on all tested breast cancer cells and the vast majority of tested tissue biopsies. Using pull down assays...Invited, Daugaard. C) 2014. Gordon research conference, July 6-11; Targeting of cancer-specific chondroitin sulfate on circulating tumor cells using...now successfully identified a number of proteoglycans that interact with the recombinant malaria protein VAR2CSA when sulfated on carbon 4 of the CS
ERIC Educational Resources Information Center
Guelph Univ. (Ontario).
This 21-paper collection examines various issues in electronic networking and conferencing with computers, including design issues, conferencing in education, electronic messaging, computer conferencing applications, social issues of computer conferencing, and distributed computer conferencing. In addition to a keynote address, "Computer…
Novel Computational Protocols for Functionally Classifying and Characterising Serine Beta-Lactamases
Das, Sayoni; Dawson, Natalie L.; Dobrijevic, Dragana; Orengo, Christine
2016-01-01
Beta-lactamases represent the main bacterial mechanism of resistance to beta-lactam antibiotics and are a significant challenge to modern medicine. We have developed an automated classification and analysis protocol that exploits structure- and sequence-based approaches and which allows us to propose a grouping of serine beta-lactamases that more consistently captures and rationalizes the existing three classification schemes: Classes, (A, C and D, which vary in their implementation of the mechanism of action); Types (that largely reflect evolutionary distance measured by sequence similarity); and Variant groups (which largely correspond with the Bush-Jacoby clinical groups). Our analysis platform exploits a suite of in-house and public tools to identify Functional Determinants (FDs), i.e. residue sites, responsible for conferring different phenotypes between different classes, different types and different variants. We focused on Class A beta-lactamases, the most highly populated and clinically relevant class, to identify FDs implicated in the distinct phenotypes associated with different Class A Types and Variants. We show that our FunFHMMer method can separate the known beta-lactamase classes and identify those positions likely to be responsible for the different implementations of the mechanism of action in these enzymes. Two novel algorithms, ASSP and SSPA, allow detection of FD sites likely to contribute to the broadening of the substrate profiles. Using our approaches, we recognise 151 Class A types in UniProt. Finally, we used our beta-lactamase FunFams and ASSP profiles to detect 4 novel Class A types in microbiome samples. Our platforms have been validated by literature studies, in silico analysis and some targeted experimental verification. Although developed for the serine beta-lactamases they could be used to classify and analyse any diverse protein superfamily where sub-families have diverged over both long and short evolutionary timescales. PMID:27332861
Computational evolution: taking liberties.
Correia, Luís
2010-09-01
Evolution has, for a long time, inspired computer scientists to produce computer models mimicking its behavior. Evolutionary algorithm (EA) is one of the areas where this approach has flourished. EAs have been used to model and study evolution, but they have been especially developed for their aptitude as optimization tools for engineering. Developed models are quite simple in comparison with their natural sources of inspiration. However, since EAs run on computers, we have the freedom, especially in optimization models, to test approaches both realistic and outright speculative, from the biological point of view. In this article, we discuss different common evolutionary algorithm models, and then present some alternatives of interest. These include biologically inspired models, such as co-evolution and, in particular, symbiogenetics and outright artificial operators and representations. In each case, the advantages of the modifications to the standard model are identified. The other area of computational evolution, which has allowed us to study basic principles of evolution and ecology dynamics, is the development of artificial life platforms for open-ended evolution of artificial organisms. With these platforms, biologists can test theories by directly manipulating individuals and operators, observing the resulting effects in a realistic way. An overview of the most prominent of such environments is also presented. If instead of artificial platforms we use the real world for evolving artificial life, then we are dealing with evolutionary robotics (ERs). A brief description of this area is presented, analyzing its relations to biology. Finally, we present the conclusions and identify future research avenues in the frontier of computation and biology. Hopefully, this will help to draw the attention of more biologists and computer scientists to the benefits of such interdisciplinary research.
Doss, C George Priya; Chakrabarty, Chiranjib; Debajyoti, C; Debottam, S
2014-11-01
Certain mysteries pointing toward their recruitment pathways, cell cycle regulation mechanisms, spindle checkpoint assembly, and chromosome segregation process are considered the centre of attraction in cancer research. In modern times, with the established databases, ranges of computational platforms have provided a platform to examine almost all the physiological and biochemical evidences in disease-associated phenotypes. Using existing computational methods, we have utilized the amino acid residues to understand the similarity within the evolutionary variance of different associated centromere proteins. This study related to sequence similarity, protein-protein networking, co-expression analysis, and evolutionary trajectory of centromere proteins will speed up the understanding about centromere biology and will create a road map for upcoming researchers who are initiating their work of clinical sequencing using centromere proteins.
Bipartite Graphs as Models of Population Structures in Evolutionary Multiplayer Games
Peña, Jorge; Rochat, Yannick
2012-01-01
By combining evolutionary game theory and graph theory, “games on graphs” study the evolutionary dynamics of frequency-dependent selection in population structures modeled as geographical or social networks. Networks are usually represented by means of unipartite graphs, and social interactions by two-person games such as the famous prisoner’s dilemma. Unipartite graphs have also been used for modeling interactions going beyond pairwise interactions. In this paper, we argue that bipartite graphs are a better alternative to unipartite graphs for describing population structures in evolutionary multiplayer games. To illustrate this point, we make use of bipartite graphs to investigate, by means of computer simulations, the evolution of cooperation under the conventional and the distributed N-person prisoner’s dilemma. We show that several implicit assumptions arising from the standard approach based on unipartite graphs (such as the definition of replacement neighborhoods, the intertwining of individual and group diversity, and the large overlap of interaction neighborhoods) can have a large impact on the resulting evolutionary dynamics. Our work provides a clear example of the importance of construction procedures in games on graphs, of the suitability of bigraphs and hypergraphs for computational modeling, and of the importance of concepts from social network analysis such as centrality, centralization and bipartite clustering for the understanding of dynamical processes occurring on networked population structures. PMID:22970237
The Handicap Principle for Trust in Computer Security, the Semantic Web and Social Networking
NASA Astrophysics Data System (ADS)
Ma, Zhanshan (Sam); Krings, Axel W.; Hung, Chih-Cheng
Communication is a fundamental function of life, and it exists in almost all living things: from single-cell bacteria to human beings. Communication, together with competition and cooperation,arethree fundamental processes in nature. Computer scientists are familiar with the study of competition or 'struggle for life' through Darwin's evolutionary theory, or even evolutionary computing. They may be equally familiar with the study of cooperation or altruism through the Prisoner's Dilemma (PD) game. However, they are likely to be less familiar with the theory of animal communication. The objective of this article is three-fold: (i) To suggest that the study of animal communication, especially the honesty (reliability) of animal communication, in which some significant advances in behavioral biology have been achieved in the last three decades, should be on the verge to spawn important cross-disciplinary research similar to that generated by the study of cooperation with the PD game. One of the far-reaching advances in the field is marked by the publication of "The Handicap Principle: a Missing Piece of Darwin's Puzzle" by Zahavi (1997). The 'Handicap' principle [34][35], which states that communication signals must be costly in some proper way to be reliable (honest), is best elucidated with evolutionary games, e.g., Sir Philip Sidney (SPS) game [23]. Accordingly, we suggest that the Handicap principle may serve as a fundamental paradigm for trust research in computer science. (ii) To suggest to computer scientists that their expertise in modeling computer networks may help behavioral biologists in their study of the reliability of animal communication networks. This is largely due to the historical reason that, until the last decade, animal communication was studied with the dyadic paradigm (sender-receiver) rather than with the network paradigm. (iii) To pose several open questions, the answers to which may bear some refreshing insights to trust research in computer science, especially secure and resilient computing, the semantic web, and social networking. One important thread unifying the three aspects is the evolutionary game theory modeling or its extensions with survival analysis and agreement algorithms [19][20], which offer powerful game models for describing time-, space-, and covariate-dependent frailty (uncertainty and vulnerability) and deception (honesty).
CILT2000: Ubiquitous Computing--Spanning the Digital Divide.
ERIC Educational Resources Information Center
Tinker, Robert; Vahey, Philip
2002-01-01
Discusses the role of ubiquitous and handheld computers in education. Summarizes the contributions of the Center for Innovative Learning Technologies (CILT) and describes the ubiquitous computing sessions at the CILT2000 Conference. (Author/YDS)
ERIC Educational Resources Information Center
Concheiro, A. Alonso, Ed.; And Others
The following papers in English from this international conference may be of particular interest to those in the field of education. T. Nakahara, A. Tsukamota, and M. Matsumoto describe a computer-aided design technique for an economical urban cable television system. W. D. Wasson and R. K. Chitkara outline a recognition scheme based on analysis…
77 FR 38306 - GFIRST Conference Stakeholder Evaluation
Federal Register 2010, 2011, 2012, 2013, 2014
2012-06-27
...), National Cyber Security Division (NCSD), United States Computer Emergency Readiness Team (US-CERT) will...- CERT, [email protected] . SUPPLEMENTARY INFORMATION: GFIRST is DHS's premier cyber conference and continually seeks to enhance collaborative efforts among cyber constituencies, partners, and stakeholders. The...
Conduct of the International Multigrid Conference
NASA Technical Reports Server (NTRS)
Mccormick, S.
1984-01-01
The 1983 International Multigrid Conference was held at Colorado's Copper Mountain Ski Resort, April 5-8. It was organized jointly by the Institute for Computational Studies at Colorado State University, U.S.A., and the Gasellschaft fur Mathematik und Datenverarbeitung Bonn, F.R. Germany, and was sponsored by the Air Force Office of Sponsored Research and National Aeronautics and Space Administration Headquarters. The conference was attended by 80 scientists, divided by institution almost equally into private industry, research laboratories, and academia. Fifteen attendees came from countries other than the U.S.A. In addition to the fruitful discussions, the most significant factor of the conference was of course the lectures. The lecturers include most of the leaders in the field of multigrid research. The program offered a nice integrated blend of theory, numerical studies, basic research, and applications. Some of the new areas of research that have surfaced since the Koln-Porz conference include: the algebraic multigrid approach; multigrid treatment of Euler equations for inviscid fluid flow problems; 3-D problems; and the application of MG methods on vector and parallel computers.
ERIC Educational Resources Information Center
Cameron, Shona, Ed.
This program for the 1996 Association for Learning Technology Conference summarizes the poster sessions, discussions, workshops, and software demonstrations, and provides abstracts of the 38 papers presented. Topics covered by the papers include: hand-held technology for mathematics; modeling global warming; computer-mediated communications; Java;…
Transportable Applications Environment (TAE) Tenth Users' Conference
NASA Technical Reports Server (NTRS)
Rouff, Chris (Editor); Harris, Elfrieda (Editor); Yeager, Arleen (Editor)
1993-01-01
Conference proceedings are represented in graphic visual-aid form. Presentation and panel discussion topics include user experiences with C++ and Ada; the design and interaction of the user interface; the history and goals of TAE; commercialization and testing of TAE Plus; Computer-Human Interaction Models (CHIMES); data driven objects; item-to-item connections and object dependencies; and integration with other software. There follows a list of conference attendees.
ERIC Educational Resources Information Center
Hackett, Judith C., Ed.; McLemore, Lisa Ann, Ed.
The conference reported in this proceedings brought together states' rural development policymakers in an effort to identify the programs and research needed to establish successful state policies. Topics of papers presented at the conference and included in the proceedings covered: (1) telecommunications and computer technology as sources of…
ERIC Educational Resources Information Center
Greenhalgh, Claire
In recent years, there has been increasing interest within the media and in government about young people who are spending more time in front of the television or computer than in physical activities. A 1996 conference examined these issues and addressed concerns that young people's lack of activity has a detrimental effect upon their health and…
ERIC Educational Resources Information Center
Rabitti, Fausto, Ed.
Intended to identify and encourage research, development, and applications of information retrieval, the principal objective of this conference was to provide an international forum to promote an understanding of current research and to stimulate the exchange of ideas and experiences in information retrieval systems. Introductory material for…
ERIC Educational Resources Information Center
Bradley, Linda, Ed.; Thouësny, Sylvie, Ed.
2012-01-01
For the first time, the annual conference of the European Association for Computer-Assisted Language Learning (EUROCALL) took place in Sweden. The conference took place at the Faculty of Education on historic ground on the old fortification walls of Carolus Dux from the 17th century right in the centre of the city. This year's host comprised the…
Computer-Automated Evolution of Spacecraft X-Band Antennas
NASA Technical Reports Server (NTRS)
Lohn, Jason D.; Homby, Gregory S.; Linden, Derek S.
2010-01-01
A document discusses the use of computer- aided evolution in arriving at a design for X-band communication antennas for NASA s three Space Technology 5 (ST5) satellites, which were launched on March 22, 2006. Two evolutionary algorithms, incorporating different representations of the antenna design and different fitness functions, were used to automatically design and optimize an X-band antenna design. A set of antenna designs satisfying initial ST5 mission requirements was evolved by use these algorithms. The two best antennas - one from each evolutionary algorithm - were built. During flight-qualification testing of these antennas, the mission requirements were changed. After minimal changes in the evolutionary algorithms - mostly in the fitness functions - new antenna designs satisfying the changed mission requirements were evolved and within one month of this change, two new antennas were designed and prototypes of the antennas were built and tested. One of these newly evolved antennas was approved for deployment on the ST5 mission, and flight-qualified versions of this design were built and installed on the spacecraft. At the time of writing the document, these antennas were the first computer-evolved hardware in outer space.
Optimizing a reconfigurable material via evolutionary computation
NASA Astrophysics Data System (ADS)
Wilken, Sam; Miskin, Marc Z.; Jaeger, Heinrich M.
2015-08-01
Rapid prototyping by combining evolutionary computation with simulations is becoming a powerful tool for solving complex design problems in materials science. This method of optimization operates in a virtual design space that simulates potential material behaviors and after completion needs to be validated by experiment. However, in principle an evolutionary optimizer can also operate on an actual physical structure or laboratory experiment directly, provided the relevant material parameters can be accessed by the optimizer and information about the material's performance can be updated by direct measurements. Here we provide a proof of concept of such direct, physical optimization by showing how a reconfigurable, highly nonlinear material can be tuned to respond to impact. We report on an entirely computer controlled laboratory experiment in which a 6 ×6 grid of electromagnets creates a magnetic field pattern that tunes the local rigidity of a concentrated suspension of ferrofluid and iron filings. A genetic algorithm is implemented and tasked to find field patterns that minimize the force transmitted through the suspension. Searching within a space of roughly 1010 possible configurations, after testing only 1500 independent trials the algorithm identifies an optimized configuration of layered rigid and compliant regions.
Molecular Quantum Mechanics 2010: From Methylene to DNA and Beyond Conference Support
DOE Office of Scientific and Technical Information (OSTI.GOV)
None, None
This grant was $12500 for partial support of an international conference, Molecular Quantum Mechanics 2010, which was held on the campus of the University of California, Berkeley, from 24 to 29 May 2010. The conference involved more than 250 participants. The conference schedule ran from as early as 8:00 AM to as late as 10:30 PM at night, in order to accommodate six historical lectures, 16 plenary lectures, 42 invited talks and two very strong poster sessions containing 143 contributed posters. Since 1989, the Molecular Quantum Mechanics (MQM) series of international conferences has show- cased the frontiers of research inmore » quantum chemistry with a strong focus on basic theory and algorithms, as well as highlights of topical applications. Both were strongly in evidence at MQM 2010. At the same time as embracing the future, the MQM conferences also honour the lifetime contributions of some of the most prominent scientists in the field of theoretical and computational quantum chemistry. MQM 2010 recognised the work of Prof. Henry F. ‘Fritz’ Schaefer of the Center for Computational Chemistry at the University of Georgia, who was previously on the faculty at Berkeley The travel of invited speakers was partially covered by sponsorships from Dell Computer, Hewlett-Packard, Journal of Chemical Theory and Computation, Virginia Tech College of Science, Molecular Physics, Q-Chem Inc and the American Institute of Physics. By contrast, the conference grant from the Department of Energy was used to provide fellowships and scholarships to enable graduate students and postdoctoral fellows to attend the meeting, and thereby broaden the participation of young scientists at a meeting where in the past most of the attendees have been more senior faculty researchers. We believe that we were very successful in this regard: 118 students and postdocs attended out of the total of 256 participants. In detail, the DOE sponsorship money was partially used for dormitory scholarships that covered the cost of shared accommodation for students and postdocs at Berkeley dormitories. This covered the $200-$305 cost of a shared room for the 5-day duration of the conference. The only condition of these scholarships was that the awardee must present a poster at the meeting. Approximately $7565 was spent for these dormitory scholarships. The remaining expenditures of $4800 was used for 12 merit scholarships which were awarded to students whose poster presentations were judged the best at the conference. This amount covered a significant part of their travel and registration fees.« less
Evaluation of Generation Alternation Models in Evolutionary Robotics
NASA Astrophysics Data System (ADS)
Oiso, Masashi; Matsumura, Yoshiyuki; Yasuda, Toshiyuki; Ohkura, Kazuhiro
For efficient implementation of Evolutionary Algorithms (EA) to a desktop grid computing environment, we propose a new generation alternation model called Grid-Oriented-Deletion (GOD) based on comparison with the conventional techniques. In previous research, generation alternation models are generally evaluated by using test functions. However, their exploration performance on the real problems such as Evolutionary Robotics (ER) has not been made very clear yet. Therefore we investigate the relationship between the exploration performance of EA on an ER problem and its generation alternation model. We applied four generation alternation models to the Evolutionary Multi-Robotics (EMR), which is the package-pushing problem to investigate their exploration performance. The results show that GOD is more effective than the other conventional models.
Scheduling Earth Observing Fleets Using Evolutionary Algorithms: Problem Description and Approach
NASA Technical Reports Server (NTRS)
Globus, Al; Crawford, James; Lohn, Jason; Morris, Robert; Clancy, Daniel (Technical Monitor)
2002-01-01
We describe work in progress concerning multi-instrument, multi-satellite scheduling. Most, although not all, Earth observing instruments currently in orbit are unique. In the relatively near future, however, we expect to see fleets of Earth observing spacecraft, many carrying nearly identical instruments. This presents a substantially new scheduling challenge. Inspired by successful commercial applications of evolutionary algorithms in scheduling domains, this paper presents work in progress regarding the use of evolutionary algorithms to solve a set of Earth observing related model problems. Both the model problems and the software are described. Since the larger problems will require substantial computation and evolutionary algorithms are embarrassingly parallel, we discuss our parallelization techniques using dedicated and cycle-scavenged workstations.
Nanotube Heterojunctions and Endo-Fullerenes for Nanoelectronics
NASA Technical Reports Server (NTRS)
Srivastava, Deepak; Menon, M.; Andriotis, Antonis; Cho, K.; Park, Jun; Biegel, Bryan A. (Technical Monitor)
2002-01-01
Topics discussed include: (1) Light-Weight Multi-Functional Materials: Nanomechanics; Nanotubes and Composites; Thermal/Chemical/Electrical Characterization; (2) Biomimetic/Revolutionary Concepts: Evolutionary Computing and Sensing; Self-Heating Materials; (3) Central Computing System: Molecular Electronics; Materials for Quantum Bits; and (4) Molecular Machines.
Fewer invited talks by women in evolutionary biology symposia.
Schroeder, J; Dugdale, H L; Radersma, R; Hinsch, M; Buehler, D M; Saul, J; Porter, L; Liker, A; De Cauwer, I; Johnson, P J; Santure, A W; Griffin, A S; Bolund, E; Ross, L; Webb, T J; Feulner, P G D; Winney, I; Szulkin, M; Komdeur, J; Versteegh, M A; Hemelrijk, C K; Svensson, E I; Edwards, H; Karlsson, M; West, S A; Barrett, E L B; Richardson, D S; van den Brink, V; Wimpenny, J H; Ellwood, S A; Rees, M; Matson, K D; Charmantier, A; Dos Remedios, N; Schneider, N A; Teplitsky, C; Laurance, W F; Butlin, R K; Horrocks, N P C
2013-09-01
Lower visibility of female scientists, compared to male scientists, is a potential reason for the under-representation of women among senior academic ranks. Visibility in the scientific community stems partly from presenting research as an invited speaker at organized meetings. We analysed the sex ratio of presenters at the European Society for Evolutionary Biology (ESEB) Congress 2011, where all abstract submissions were accepted for presentation. Women were under-represented among invited speakers at symposia (15% women) compared to all presenters (46%), regular oral presenters (41%) and plenary speakers (25%). At the ESEB congresses in 2001-2011, 9-23% of invited speakers were women. This under-representation of women is partly attributable to a larger proportion of women, than men, declining invitations: in 2011, 50% of women declined an invitation to speak compared to 26% of men. We expect invited speakers to be scientists from top ranked institutions or authors of recent papers in high-impact journals. Considering all invited speakers (including declined invitations), 23% were women. This was lower than the baseline sex ratios of early-mid career stage scientists, but was similar to senior scientists and authors that have published in high-impact journals. High-quality science by women therefore has low exposure at international meetings, which will constrain Evolutionary Biology from reaching its full potential. We wish to highlight the wider implications of turning down invitations to speak, and encourage conference organizers to implement steps to increase acceptance rates of invited talks. © 2013 The Authors. Journal of Evolutionary Biology © 2013 European Society For Evolutionary Biology.
Computer-Assisted Instruction in Statistics. Technical Report.
ERIC Educational Resources Information Center
Cooley, William W.
A paper given at a conference on statistical computation discussed teaching statistics with computers. It concluded that computer-assisted instruction is most appropriately employed in the numerical demonstration of statistical concepts, and for statistical laboratory instruction. The student thus learns simultaneously about the use of computers…
The ASCI Network for SC 2000: Gigabyte Per Second Networking
DOE Office of Scientific and Technical Information (OSTI.GOV)
PRATT, THOMAS J.; NAEGLE, JOHN H.; MARTINEZ JR., LUIS G.
2001-11-01
This document highlights the Discom's Distance computing and communication team activities at the 2000 Supercomputing conference in Dallas Texas. This conference is sponsored by the IEEE and ACM. Sandia's participation in the conference has now spanned a decade, for the last five years Sandia National Laboratories, Los Alamos National Lab and Lawrence Livermore National Lab have come together at the conference under the DOE's ASCI, Accelerated Strategic Computing Initiatives, Program rubric to demonstrate ASCI's emerging capabilities in computational science and our combined expertise in high performance computer science and communication networking developments within the program. At SC 2000, DISCOM demonstratedmore » an infrastructure. DISCOM2 uses this forum to demonstrate and focus communication and pre-standard implementation of 10 Gigabit Ethernet, the first gigabyte per second data IP network transfer application, and VPN technology that enabled a remote Distributed Resource Management tools demonstration. Additionally a national OC48 POS network was constructed to support applications running between the show floor and home facilities. This network created the opportunity to test PSE's Parallel File Transfer Protocol (PFTP) across a network that had similar speed and distances as the then proposed DISCOM WAN. The SCINET SC2000 showcased wireless networking and the networking team had the opportunity to explore this emerging technology while on the booth. This paper documents those accomplishments, discusses the details of their convention exhibit floor. We also supported the production networking needs of the implementation, and describes how these demonstrations supports DISCOM overall strategies in high performance computing networking.« less
Extended Linkage Disequilibrium Surrounding the Hemoglobin E Variant Due to Malarial Selection
Ohashi, Jun ; Naka, Izumi ; Patarapotikul, Jintana ; Hananantachai, Hathairad ; Brittenham, Gary ; Looareesuwan, Sornchai ; Clark, Andrew G. ; Tokunaga, Katsushi
2004-01-01
The hemoglobin E variant (HbE; β26Glu→Lys) is concentrated in parts of Southeast Asia where malaria is endemic, and HbE carrier status has been shown to confer some protection against Plasmodium falciparum malaria. To examine the effect of natural selection on the pattern of linkage disequilibrium (LD) and to infer the evolutionary history of the HbE variant, we analyzed biallelic markers surrounding the HbE variant in a Thai population. Pairwise LD analysis of HbE and 43 surrounding biallelic markers revealed LD of HbE extending beyond 100 kb, whereas no LD was observed between non-HbE variants and the same markers. The inferred haplotype network suggests a single origin of the HbE variant in the Thai population. Forward-in-time computer simulations under a variety of selection models indicate that the HbE variant arose 1,240–4,440 years ago. These results support the conjecture that the HbE mutation occurred recently, and the allele frequency has increased rapidly. Our study provides another clear demonstration that a high-resolution LD map across the human genome can detect recent variants that have been subjected to positive selection. PMID:15114532
Extended linkage disequilibrium surrounding the hemoglobin E variant due to malarial selection.
Ohashi, Jun; Naka, Izumi; Patarapotikul, Jintana; Hananantachai, Hathairad; Brittenham, Gary; Looareesuwan, Sornchai; Clark, Andrew G; Tokunaga, Katsushi
2004-06-01
The hemoglobin E variant (HbE; ( beta )26Glu-->Lys) is concentrated in parts of Southeast Asia where malaria is endemic, and HbE carrier status has been shown to confer some protection against Plasmodium falciparum malaria. To examine the effect of natural selection on the pattern of linkage disequilibrium (LD) and to infer the evolutionary history of the HbE variant, we analyzed biallelic markers surrounding the HbE variant in a Thai population. Pairwise LD analysis of HbE and 43 surrounding biallelic markers revealed LD of HbE extending beyond 100 kb, whereas no LD was observed between non-HbE variants and the same markers. The inferred haplotype network suggests a single origin of the HbE variant in the Thai population. Forward-in-time computer simulations under a variety of selection models indicate that the HbE variant arose 1,240-4,440 years ago. These results support the conjecture that the HbE mutation occurred recently, and the allele frequency has increased rapidly. Our study provides another clear demonstration that a high-resolution LD map across the human genome can detect recent variants that have been subjected to positive selection.
Scientific and technical information output of the Langley Research Center for Calender year 1981
NASA Technical Reports Server (NTRS)
1982-01-01
Included are citations for formal reports, quick-release technical memorandums, contractor reports, journal articles and periodical literature, meeting/conference papers, and computer programs. Tech briefs, patents, and oral presentations to conferences/workshops are also included.
Proceedings of the 3rd Annual Conference on Aerospace Computational Control, volume 2
NASA Technical Reports Server (NTRS)
Bernard, Douglas E. (Editor); Man, Guy K. (Editor)
1989-01-01
This volume of the conference proceedings contain papers and discussions in the following topical areas: Parallel processing; Emerging integrated capabilities; Low order controllers; Real time simulation; Multibody component representation; User environment; and Distributed parameter techniques.
Second CLIPS Conference Proceedings, volume 1
NASA Technical Reports Server (NTRS)
Giarratano, Joseph (Editor); Culbert, Christopher J. (Editor)
1991-01-01
Topics covered at the 2nd CLIPS Conference held at the Johnson Space Center, September 23-25, 1991 are given. Topics include rule groupings, fault detection using expert systems, decision making using expert systems, knowledge representation, computer aided design and debugging expert systems.
2011-01-01
and G. Armitage. Dening and evaluating greynets (sparse darknets ). In LCN: Proceedings of the IEEE Conference on Local Computer Networks 30th...analysis of distributed darknet trac. In IMC: Proceedings of the USENIX/ACM Internet Measurement Conference, 2005. Indexing Full Packet Capture Data
ePatient Conference Explores Future of Personalized Medicine | NIH MedlinePlus the Magazine
... Javascript on. ePatient Conference Explores Future of Personalized Medicine Past Issues / Spring - Summer 2010 Table of Contents ... better in the digital future? What is personalized medicine? Some of the nation's top health researchers, computer ...
77 FR 12320 - Information Collection Request: GFIRST Conference Stakeholder Evaluation
Federal Register 2010, 2011, 2012, 2013, 2014
2012-02-29
... Communications (CS&C), National Cyber Security Division (NCSD), United States Computer Emergency Readiness Team... personal information provided. SUPPLEMENTARY INFORMATION: The purpose of DHS's premier cyber conference is to continually seek to enhance collaborative efforts between cyber constituencies, partners and...
Cumulative reports and publications through 31 December 1983
NASA Technical Reports Server (NTRS)
1983-01-01
All reports for the calendar years 1975 through December 1983 are listed by author. Since ICASE reports are intended to be preprints of articles for journals and conference proceedings, the published reference is included when available. Thirteen older journal and conference proceedings references are included as well as five additional reports by ICASE personnel. Major categories of research covered include: (1) numerical methods, with particular emphasis on the development and analysis of basic algorithms; (2) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, structural analysis, and chemistry; and (3) computer systems and software, especially vector and parallel computers, microcomputers, and data management.
Huang, Kun; Liu, Yunlong; Huang, Yufei; Li, Lang; Cooper, Lee; Ruan, Jianhua; Zhao, Zhongming
2016-08-22
We summarize the 2015 International Conference on Intelligent Biology and Medicine (ICIBM 2015) and the editorial report of the supplement to BMC Genomics. The supplement includes 20 research articles selected from the manuscripts submitted to ICIBM 2015. The conference was held on November 13-15, 2015 at Indianapolis, Indiana, USA. It included eight scientific sessions, three tutorials, four keynote presentations, three highlight talks, and a poster session that covered current research in bioinformatics, systems biology, computational biology, biotechnologies, and computational medicine.
2010-01-01
This meeting report gives an overview of the keynote lectures and a selection of the student oral and poster presentations at the 6th International Society for Computational Biology Student Council Symposium that was held as a precursor event to the annual international conference on Intelligent Systems for Molecular Biology (ISMB). The symposium was held in Boston, MA, USA on July 9th, 2010.
Aeroelastic, CFD, and Dynamics Computation and Optimization for Buffet and Flutter Applications
NASA Technical Reports Server (NTRS)
Kandil, Osama A.
1997-01-01
Accomplishments achieved during the reporting period are listed. These accomplishments included 6 papers published in various journals or presented at various conferences; 1 abstract submitted to a technical conference; production of 2 animated movies; and a proposal for use of the National Aerodynamic Simulation Facility at NASA Ames Research Center for further research. The published and presented papers and animated movies addressed the following topics: aeroelasticity, computational fluid dynamics, structural dynamics, wing and tail buffet, vortical flow interactions, and delta wings.
The nature of crime : Is cheating necessary for cooperation?
Machalek, R; Cohen, L E
1991-09-01
The classical social theorist Emile Durkheim proposed the counterintuitive thesis that crime is beneficial for society because it provokes punishment, which enhances social solidarity. His logic, however, is blemished by a reified view of society that leads to group-selectionist thinking and a teleological account of the causes of crime. Reconceptualization of the relationship between crime and punishment in terms of evolutionary game theory, however, suggests that crime (cheating) may confer benefits on cooperating individuals by promoting stability in their patterns of cooperation.
First Virtual Live Conference in Healthcare.
Parthasarathi, Ramakrishnan; Gomes, Rachel M; Palanivelu, Praveen Raj; Senthilnathan, Palanisamy; Rajapandian, Subbiah; Venkatachalam, Ramasamy; Palanivelu, Chinnusamy
2017-07-01
Conferences and meetings bring together thousands of doctors from diverse locations. However, the traveling, accommodation, and arrangement of venues for conferences and meetings are expensive and a lot of time needs to be devoted to these logistics. The purpose of this article was to present our own virtual live conference experience using web conferencing and to briefly outline the basics and advantages of this technology in organization of healthcare conferences. Web conferencing technology was used to organize an international bariatric surgery conference, allowing a large number of attendees to participate and interact from wherever they were, using merely an Internet connection with a video player on their personal computers, laptops, or smartphones. A virtual live conference saves a lot of time and cost and simplifies the logistics needed to organize a learning conference with worldwide participation. As far as we know, this is the first report of a virtual live conference in healthcare. We see it as the future of organizing experts as well as medical teaching conferences.
Childhood absence epilepsy successfully treated with the paleolithic ketogenic diet.
Clemens, Zsófia; Kelemen, Anna; Fogarasi, András; Tóth, Csaba
2013-12-01
Childhood absence epilepsy is an epilepsy syndrome responding relatively well to the ketogenic diet with one-third of patients becoming seizure-free. Less restrictive variants of the classical ketogenic diet, however, have been shown to confer similar benefits. Beneficial effects of high fat, low-carbohydrate diets are often explained in evolutionary terms. However, the paleolithic diet itself which advocates a return to the human evolutionary diet has not yet been studied in epilepsy. Here, we present a case of a 7-year-old child with absence epilepsy successfully treated with the paleolithic ketogenic diet alone. In addition to seizure freedom achieved within 6 weeks, developmental and behavioral improvements were noted. The child remained seizure-free when subsequently shifted toward a paleolithic diet. It is concluded that the paleolithic ketogenic diet was effective, safe and feasible in the treatment of this case of childhood absence epilepsy.
Quantum Mechanics predicts evolutionary biology.
Torday, J S
2018-07-01
Nowhere are the shortcomings of conventional descriptive biology more evident than in the literature on Quantum Biology. In the on-going effort to apply Quantum Mechanics to evolutionary biology, merging Quantum Mechanics with the fundamentals of evolution as the First Principles of Physiology-namely negentropy, chemiosmosis and homeostasis-offers an authentic opportunity to understand how and why physics constitutes the basic principles of biology. Negentropy and chemiosmosis confer determinism on the unicell, whereas homeostasis constitutes Free Will because it offers a probabilistic range of physiologic set points. Similarly, on this basis several principles of Quantum Mechanics also apply directly to biology. The Pauli Exclusion Principle is both deterministic and probabilistic, whereas non-localization and the Heisenberg Uncertainty Principle are both probabilistic, providing the long-sought after ontologic and causal continuum from physics to biology and evolution as the holistic integration recognized as consciousness for the first time. Copyright © 2018 Elsevier Ltd. All rights reserved.
Proceedings of GeoTech 85: Personal computers in geology conference
DOE Office of Scientific and Technical Information (OSTI.GOV)
Not Available
1985-01-01
This book presents the papers given at a conference which considered the use of microprocessors in the exploration of petroleum and natural gas deposits. Topics covered at the conference included seismic surveys, geochemistry, expert systems, artificial intelligence, data base management systems, a portable exploration work station, open pit planning on a microcomputer, well logging, fracture analysis, production scheduling of open pit mines, resistivity logging, and coal washability.
Vision 2010: The Future of Higher Education Business and Learning Applications
ERIC Educational Resources Information Center
Carey, Patrick; Gleason, Bernard
2006-01-01
The global software industry is in the midst of a major evolutionary shift--one based on open computing--and this trend, like many transformative trends in technology, is being led by the IT staffs and academic computing faculty of the higher education industry. The elements of this open computing approach are open source, open standards, open…
Message From the Editor for Contributions to the 2010 Real Time Conference Issue of TNS
NASA Astrophysics Data System (ADS)
Schmeling, Sascha Marc
2011-08-01
The 72 papers in this special issue were originally presented at the 17th IEEE-NPSS Real Time Conference (RT2010) on Computing Applications in Nuclear and Plasma Sciences, held in Lisbon, Portugal in May 2010.
Multi-Objective UAV Mission Planning Using Evolutionary Computation
2008-03-01
on a Solution Space. . . . . . . . . . . . . . . . . . . . 41 4.3. Crowding distance calculation. Dark points are non-dominated solutions. [14...SPEA2 was devel- oped by Zitzler [64] as an improvement to the original SPEA algorithm [65]. SPEA2 Figure 4.3: Crowding distance calculation. Dark ...thesis, Los Angeles, CA, USA, 2003. Adviser-Maja J. Mataric . 114 21. Homberger, Joerg and Hermann Gehring. “Two Evolutionary Metaheuristics for the
An Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection
2005-03-21
of Congress on Evolutionary Computation. Honolulu,. 58. Lamont, Gary B., Robert E. Marmelstein, and David A. Van Veldhuizen . A Distributed Architecture...antibody and an antigen is a function of several processes including electrostatic interactions, hydrogen bonding, van der Waals interaction, and others [20...Kelly, Patrick M., Don R. Hush, and James M. White. “An Adaptive Algorithm for Modifying Hyperellipsoidal Decision Surfaces”. Journal of Artificial
de Roode, J C; de Castillejo, C Lopez Fernandez; Faits, T; Alizon, S
2011-04-01
Host resistance to parasites can come in two main forms: hosts may either reduce the probability of parasite infection (anti-infection resistance) or reduce parasite growth after infection has occurred (anti-growth resistance). Both resistance mechanisms are often imperfect, meaning that they do not fully prevent or clear infections. Theoretical work has suggested that imperfect anti-growth resistance can select for higher parasite virulence by favouring faster-growing and more virulent parasites that overcome this resistance. In contrast, imperfect anti-infection resistance is thought not to select for increased parasite virulence, because it is assumed that it reduces the number of hosts that become infected, but not the fitness of parasites in successfully infected hosts. Here, we develop a theoretical model to show that anti-infection resistance can in fact select for higher virulence when such resistance reduces the effective parasite dose that enters a host. Our model is based on a monarch butterfly-parasite system in which larval food plants confer resistance to the monarch host. We carried out an experiment and showed that this environmental resistance is most likely a form of anti-infection resistance, through which toxic food plants reduce the effective dose of parasites that initiates an infection. We used these results to build a mathematical model to investigate the evolutionary consequences of food plant-induced resistance. Our model shows that when the effective infectious dose is reduced, parasites can compensate by evolving a higher per-parasite growth rate, and consequently a higher intrinsic virulence. Our results are relevant to many insect host-parasite systems, in which larval food plants often confer imperfect anti-infection resistance. Our results also suggest that - for parasites where the infectious dose affects the within-host dynamics - vaccines that reduce the effective infectious dose can select for increased parasite virulence. © 2011 The Authors. Journal of Evolutionary Biology © 2011 European Society For Evolutionary Biology.
Ng, Soon Hwee; Shankar, Shruti; Shikichi, Yasumasa; Akasaka, Kazuaki; Mori, Kenji; Yew, Joanne Y
2014-02-25
Animals exhibit a spectacular array of traits to attract mates. Understanding the evolutionary origins of sexual features and preferences is a fundamental problem in evolutionary biology, and the mechanisms remain highly controversial. In some species, females choose mates based on direct benefits conferred by the male to the female and her offspring. Thus, female preferences are thought to originate and coevolve with male traits. In contrast, sensory exploitation occurs when expression of a male trait takes advantage of preexisting sensory biases in females. Here, we document in Drosophila a previously unidentified example of sensory exploitation of males by other males through the use of the sex pheromone CH503. We use mass spectrometry, high-performance liquid chromatography, and behavioral analysis to demonstrate that an antiaphrodisiac produced by males of the melanogaster subgroup also is effective in distant Drosophila relatives that do not express the pheromone. We further show that species that produce the pheromone have become less sensitive to the compound, illustrating that sensory adaptation occurs after sensory exploitation. Our findings provide a mechanism for the origin of a sex pheromone and show that sensory exploitation changes male sexual behavior over evolutionary time.
Dierks, A; Kölzow, N; Franke, K; Fischer, K
2012-08-01
Artificial selection is a powerful approach to unravel constraints on genetic adaptation. Although it has been frequently used to reveal genetic trade-offs among different fitness-related traits, only a few studies have targeted genetic correlations across developmental stages. Here, we test whether selection on increased cold tolerance in the adult stage increases cold resistance throughout ontogeny in the butterfly Bicyclus anynana. We used lines selected for decreased chill-coma recovery time and corresponding controls, which had originally been set up from three levels of inbreeding (outbred control, one or two full-sib matings). Four generations after having terminated selection, a response to selection was found in 1-day-old butterflies (the age at which selection took place). Older adults showed a very similar although weaker response. Nevertheless, cold resistance did not increase in either egg, larval or pupal stage in the selection lines but was even lower compared to control lines for eggs and young larvae. These findings suggest a cost of increased adult cold tolerance, presumably reducing resource availability for offspring provisioning and thereby stress tolerance during development, which may substantially affect evolutionary trajectories. © 2012 The Authors. Journal of Evolutionary Biology © 2012 European Society For Evolutionary Biology.
Genomic impact of eukaryotic transposable elements
2012-01-01
The third international conference on the genomic impact of eukaryotic transposable elements (TEs) was held 24 to 28 February 2012 at the Asilomar Conference Center, Pacific Grove, CA, USA. Sponsored in part by the National Institutes of Health grant 5 P41 LM006252, the goal of the conference was to bring together researchers from around the world who study the impact and mechanisms of TEs using multiple computational and experimental approaches. The meeting drew close to 170 attendees and included invited floor presentations on the biology of TEs and their genomic impact, as well as numerous talks contributed by young scientists. The workshop talks were devoted to computational analysis of TEs with additional time for discussion of unresolved issues. Also, there was ample opportunity for poster presentations and informal evening discussions. The success of the meeting reflects the important role of Repbase in comparative genomic studies, and emphasizes the need for close interactions between experimental and computational biologists in the years to come. PMID:23171443
Genomic impact of eukaryotic transposable elements.
Arkhipova, Irina R; Batzer, Mark A; Brosius, Juergen; Feschotte, Cédric; Moran, John V; Schmitz, Jürgen; Jurka, Jerzy
2012-11-21
The third international conference on the genomic impact of eukaryotic transposable elements (TEs) was held 24 to 28 February 2012 at the Asilomar Conference Center, Pacific Grove, CA, USA. Sponsored in part by the National Institutes of Health grant 5 P41 LM006252, the goal of the conference was to bring together researchers from around the world who study the impact and mechanisms of TEs using multiple computational and experimental approaches. The meeting drew close to 170 attendees and included invited floor presentations on the biology of TEs and their genomic impact, as well as numerous talks contributed by young scientists. The workshop talks were devoted to computational analysis of TEs with additional time for discussion of unresolved issues. Also, there was ample opportunity for poster presentations and informal evening discussions. The success of the meeting reflects the important role of Repbase in comparative genomic studies, and emphasizes the need for close interactions between experimental and computational biologists in the years to come.
NASA Astrophysics Data System (ADS)
Hoang, Trinh Xuan; Ky, Nguyen Anh; Lan, Nguyen Tri; Viet, Nguyen Ai
2015-06-01
This volume contains selected papers presented at the 2nd International Workshop on Theoretical and Computational Physics (IWTCP-2): Modern Methods and Latest Results in Particle Physics, Nuclear Physics and Astrophysics and the 39th National Conference on Theoretical Physics (NCTP-39). Both the workshop and the conference were held from 28th - 31st July 2014 in Dakruco Hotel, Buon Ma Thuot, Dak Lak, Vietnam. The NCTP-39 and the IWTCP-2 were organized under the support of the Vietnamese Theoretical Physics Society, with a motivation to foster scientific exchanges between the theoretical and computational physicists in Vietnam and worldwide, as well as to promote high-standard level of research and education activities for young physicists in the country. The IWTCP-2 was also an External Activity of the Asia Pacific Center for Theoretical Physics (APCTP). About 100 participants coming from nine countries participated in the workshop and the conference. At the IWTCP-2 workshop, we had 16 invited talks presented by international experts, together with eight oral and ten poster contributions. At the NCTP-39, three invited talks, 15 oral contributions and 39 posters were presented. We would like to thank all invited speakers, participants and sponsors for making the workshop and the conference successful. Trinh Xuan Hoang, Nguyen Anh Ky, Nguyen Tri Lan and Nguyen Ai Viet
Evolutionary Models for Simple Biosystems
NASA Astrophysics Data System (ADS)
Bagnoli, Franco
The concept of evolutionary development of structures constituted a real revolution in biology: it was possible to understand how the very complex structures of life can arise in an out-of-equilibrium system. The investigation of such systems has shown that indeed, systems under a flux of energy or matter can self-organize into complex patterns, think for instance to Rayleigh-Bernard convection, Liesegang rings, patterns formed by granular systems under shear. Following this line, one could characterize life as a state of matter, characterized by the slow, continuous process that we call evolution. In this paper we try to identify the organizational level of life, that spans several orders of magnitude from the elementary constituents to whole ecosystems. Although similar structures can be found in other contexts like ideas (memes) in neural systems and self-replicating elements (computer viruses, worms, etc.) in computer systems, we shall concentrate on biological evolutionary structure, and try to put into evidence the role and the emergence of network structure in such systems.
Artificial intelligence in peer review: How can evolutionary computation support journal editors?
Fronczak, Piotr; Fronczak, Agata; Ausloos, Marcel; Nedic, Olgica
2017-01-01
With the volume of manuscripts submitted for publication growing every year, the deficiencies of peer review (e.g. long review times) are becoming more apparent. Editorial strategies, sets of guidelines designed to speed up the process and reduce editors’ workloads, are treated as trade secrets by publishing houses and are not shared publicly. To improve the effectiveness of their strategies, editors in small publishing groups are faced with undertaking an iterative trial-and-error approach. We show that Cartesian Genetic Programming, a nature-inspired evolutionary algorithm, can dramatically improve editorial strategies. The artificially evolved strategy reduced the duration of the peer review process by 30%, without increasing the pool of reviewers (in comparison to a typical human-developed strategy). Evolutionary computation has typically been used in technological processes or biological ecosystems. Our results demonstrate that genetic programs can improve real-world social systems that are usually much harder to understand and control than physical systems. PMID:28931033
Information Technology: Making It All Fit. Track VIII: Academic Computing Strategy.
ERIC Educational Resources Information Center
CAUSE, Boulder, CO.
Six papers from the 1988 CAUSE conference's Track VIII, Academic Computing Strategy, are presented. They include: "Achieving Institution-Wide Computer Fluency: A Five-Year Retrospective" (Paul J. Plourde); "A Methodology and a Policy for Building and Implementing a Strategic Computer Plan" (Frank B. Thomas); "Aligning…
What Chemists (or Chemistry Students) Need to Know about Computing.
ERIC Educational Resources Information Center
Swift, Mary L.; Zielinski, Theresa Julia
1995-01-01
Presents key points of an on-line conference discussion and integrates them with information from the literature. Key points included: computer as a tool for learning, study, research, and communication; hardware, software, computing concepts, and other teaching concerns; and the appropriate place for chemistry computer-usage instruction. (45…
NASA Astrophysics Data System (ADS)
Satoh, Hitoshi; Niki, Noboru; Eguchi, Kenji; Ohmatsu, Hironobu; Kaneko, Masahiro; Kakinuma, Ryutaro; Moriyama, Noriyuki
2010-03-01
Diagnostic MDCT imaging requires a considerable number of images to be read. Moreover, the doctor who diagnoses a medical image is insufficient in Japan. Because of such a background, we have provided diagnostic assistance methods to medical screening specialists by developing a lung cancer screening algorithm that automatically detects suspected lung cancers in helical CT images, a coronary artery calcification screening algorithm that automatically detects suspected coronary artery calcification and a vertebra body analysis algorithm for quantitative evaluation of osteoporosis. We also have developed the teleradiology network system by using web medical image conference system. In the teleradiology network system, the security of information network is very important subjects. Our teleradiology network system can perform Web medical image conference in the medical institutions of a remote place using the web medical image conference system. We completed the basic proof experiment of the web medical image conference system with information security solution. We can share the screen of web medical image conference system from two or more web conference terminals at the same time. An opinion can be exchanged mutually by using a camera and a microphone that are connected with the workstation that builds in some diagnostic assistance methods. Biometric face authentication used on site of teleradiology makes "Encryption of file" and "Success in login" effective. Our Privacy and information security technology of information security solution ensures compliance with Japanese regulations. As a result, patients' private information is protected. Based on these diagnostic assistance methods, we have developed a new computer-aided workstation and a new teleradiology network that can display suspected lesions three-dimensionally in a short time. The results of this study indicate that our radiological information system without film by using computer-aided diagnosis workstation and our teleradiology network system can increase diagnostic speed, diagnostic accuracy and security improvement of medical information.
Educational Computing Course. [SITE 2001 Section].
ERIC Educational Resources Information Center
Bump, Wren, Ed.
This document contains the following papers on the educational computing course from the SITE (Society for Information Technology & Teacher Education) 2001 conference: "Using a Flexible Format To Create a Constructivist Learning Environment in the Educational Computing Course" (Wren M. Bump); "Technological Diversity: Managing…
CSUN's Conference Advances Opportunities for People with Disabilities
ERIC Educational Resources Information Center
Williams, John M.
2006-01-01
This article reports the highlights of the recently concluded Annual International Technology and Persons with Disabilities Conference organized by California State University at Northridge. Attendees from more than 30 countries learned about services provided by the Social Security Administration, GeorgiaTech (CATEA), NISH, Computer/Electronic…
Cloud Computing in the Marine Corps: Needed Innovation
2012-03-19
ability to transfer costs normally assumed by an organization to a third party has applications within the Federal Government as it faces a depressed ... centennial of the Massachusetts Institute of Technology (MIT) during a conference in 1961. During this conference McCarthy introduced the notion
Message From the Editor for Contributions to the 2007 Real Time Conference Issue of TNS
NASA Astrophysics Data System (ADS)
Dufey, Jean-Pierre
2008-02-01
This issue presents 67 papers which were originally presented at the 15th IEEE-NPSS Real Time Conference (RT2007) on Computing Applications in Nuclear and Plasma Sciences held at Fermilab, Batavia, IL, April 29-May 4, 2007.
2017 The 7th International Conference on Computer Engineering and Networks
NASA Astrophysics Data System (ADS)
This conference proceeding is a collection of the papers accepted by the CENet 2017 - the 7th International Conference on Computer Engineering and Networks held on Shanghai from 22-23 July, 2017. This proceeding contains the five parts: Part I focuses on Machine learning (21 papers); Part II Wireless communication (21 papers); Part III Information theory (21 papers), Part IV Cloud science (14 papers) and Part V Data analysis (21 papers). Each part can be used as an excellent reference by industry practitioners, university faculty, and undergraduate as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity Thanks go to the authors for their hard work and dedication as well as the reviewers for ensuring the selection of only the highest quality papers; their efforts made this proceedings possible.
Evolutionary consequences of polyploidy in prokaryotes and the origin of mitosis and meiosis.
Markov, Alexander V; Kaznacheev, Ilya S
2016-06-08
The origin of eukaryote-specific traits such as mitosis and sexual reproduction remains disputable. There is growing evidence that both mitosis and eukaryotic sex (i.e., the alternation of syngamy and meiosis) may have already existed in the basal eukaryotes. The mating system of the halophilic archaeon Haloferax volcanii probably represents an intermediate stage between typical prokaryotic and eukaryotic sex. H. volcanii is highly polyploid, as well as many other Archaea. Here, we use computer simulation to explore genetic and evolutionary outcomes of polyploidy in amitotic prokaryotes and its possible role in the origin of mitosis, meiosis and eukaryotic sex. Modeling suggests that polyploidy can confer strong short-term evolutionary advantage to amitotic prokaryotes. However, it also promotes the accumulation of recessive deleterious mutations and the risk of extinction in the long term, especially in highly mutagenic environment. There are several possible strategies that amitotic polyploids can use in order to reduce the genetic costs of polyploidy while retaining its benefits. Interestingly, most of these strategies resemble different components or aspects of eukaryotic sex. They include asexual ploidy cycles, equalization of genome copies by gene conversion, high-frequency lateral gene transfer between relatives, chromosome exchange coupled with homologous recombination, and the evolution of more accurate chromosome distribution during cell division (mitosis). Acquisition of mitosis by an amitotic polyploid results in chromosome diversification and specialization. Ultimately, it transforms a polyploid cell into a functionally monoploid one with multiple unique, highly redundant chromosomes. Specialization of chromosomes makes the previously evolved modes of promiscuous chromosome shuffling deleterious. This can result in selective pressure to develop accurate mechanisms of homolog pairing, and, ultimately, meiosis. Emergence of mitosis and the first evolutionary steps towards eukaryotic sex could have taken place in the ancestral polyploid, amitotic proto-eukaryotes, as they were struggling to survive in the highly mutagenic environment of the Early Proterozoic shallow water microbial communities, through the succession of the following stages: (1) acquisition of high-frequency between-individual genetic exchange coupled with homologous recombination; (2) acquisition of mitosis, followed by rapid chromosome diversification and specialization; (3) evolution of homolog synapsis and meiosis. Additional evidence compatible with this scenario includes mass acquisition of new families of paralogous genes by the basal eukaryotes, and recently discovered correlation between polyploidy and the presence of histones in Archaea. This article was reviewed by Eugene Koonin, Uri Gophna and Armen Mulkidjanian. For the full reviews, please go to the Reviewers' comments section.
Marr's levels and the minimalist program.
Johnson, Mark
2017-02-01
A simple change to a cognitive system at Marr's computational level may entail complex changes at the other levels of description of the system. The implementational level complexity of a change, rather than its computational level complexity, may be more closely related to the plausibility of a discrete evolutionary event causing that change. Thus the formal complexity of a change at the computational level may not be a good guide to the plausibility of an evolutionary event introducing that change. For example, while the Minimalist Program's Merge is a simple formal operation (Berwick & Chomsky, 2016), the computational mechanisms required to implement the language it generates (e.g., to parse the language) may be considerably more complex. This has implications for the theory of grammar: theories of grammar which involve several kinds of syntactic operations may be no less evolutionarily plausible than a theory of grammar that involves only one. A deeper understanding of human language at the algorithmic and implementational levels could strengthen Minimalist Program's account of the evolution of language.
Soft computing approach to 3D lung nodule segmentation in CT.
Badura, P; Pietka, E
2014-10-01
This paper presents a novel, multilevel approach to the segmentation of various types of pulmonary nodules in computed tomography studies. It is based on two branches of computational intelligence: the fuzzy connectedness (FC) and the evolutionary computation. First, the image and auxiliary data are prepared for the 3D FC analysis during the first stage of an algorithm - the masks generation. Its main goal is to process some specific types of nodules connected to the pleura or vessels. It consists of some basic image processing operations as well as dedicated routines for the specific cases of nodules. The evolutionary computation is performed on the image and seed points in order to shorten the FC analysis and improve its accuracy. After the FC application, the remaining vessels are removed during the postprocessing stage. The method has been validated using the first dataset of studies acquired and described by the Lung Image Database Consortium (LIDC) and by its latest release - the LIDC-IDRI (Image Database Resource Initiative) database. Copyright © 2014 Elsevier Ltd. All rights reserved.
Applications of genetic programming in cancer research.
Worzel, William P; Yu, Jianjun; Almal, Arpit A; Chinnaiyan, Arul M
2009-02-01
The theory of Darwinian evolution is the fundamental keystones of modern biology. Late in the last century, computer scientists began adapting its principles, in particular natural selection, to complex computational challenges, leading to the emergence of evolutionary algorithms. The conceptual model of selective pressure and recombination in evolutionary algorithms allow scientists to efficiently search high dimensional space for solutions to complex problems. In the last decade, genetic programming has been developed and extensively applied for analysis of molecular data to classify cancer subtypes and characterize the mechanisms of cancer pathogenesis and development. This article reviews current successes using genetic programming and discusses its potential impact in cancer research and treatment in the near future.
ERIC Educational Resources Information Center
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.
2015-01-01
These proceedings contain the papers of the International Conference e-Learning 2015, which was organised by the International Association for Development of the Information and Society and is part of the Multi Conference on Computer Science and Information Systems (Las Palmas de Gran Canaria, Spain, July 21-24, 2015). The e-Learning 2015…
Luo, Xiongbiao; Wan, Ying; He, Xiangjian
2015-04-01
Electromagnetically guided endoscopic procedure, which aims at accurately and robustly localizing the endoscope, involves multimodal sensory information during interventions. However, it still remains challenging in how to integrate these information for precise and stable endoscopic guidance. To tackle such a challenge, this paper proposes a new framework on the basis of an enhanced particle swarm optimization method to effectively fuse these information for accurate and continuous endoscope localization. The authors use the particle swarm optimization method, which is one of stochastic evolutionary computation algorithms, to effectively fuse the multimodal information including preoperative information (i.e., computed tomography images) as a frame of reference, endoscopic camera videos, and positional sensor measurements (i.e., electromagnetic sensor outputs). Since the evolutionary computation method usually limits its possible premature convergence and evolutionary factors, the authors introduce the current (endoscopic camera and electromagnetic sensor's) observation to boost the particle swarm optimization and also adaptively update evolutionary parameters in accordance with spatial constraints and the current observation, resulting in advantageous performance in the enhanced algorithm. The experimental results demonstrate that the authors' proposed method provides a more accurate and robust endoscopic guidance framework than state-of-the-art methods. The average guidance accuracy of the authors' framework was about 3.0 mm and 5.6° while the previous methods show at least 3.9 mm and 7.0°. The average position and orientation smoothness of their method was 1.0 mm and 1.6°, which is significantly better than the other methods at least with (2.0 mm and 2.6°). Additionally, the average visual quality of the endoscopic guidance was improved to 0.29. A robust electromagnetically guided endoscopy framework was proposed on the basis of an enhanced particle swarm optimization method with using the current observation information and adaptive evolutionary factors. The authors proposed framework greatly reduced the guidance errors from (4.3, 7.8) to (3.0 mm, 5.6°), compared to state-of-the-art methods.
Proceedings for the 4th Annual Micros on Parade Conference (4th, Houston, Texas, June 7-8, 1985).
ERIC Educational Resources Information Center
Amburgey, Valeria, Ed.; Olivier, Terry A., Ed.
This document contains 25 presentations on five broad topics: the interface of computers with instruction; computer applications; computer graphics; computer programming; and general interest sessions. A foreword by Dr. Valeria Amburgey of Sam Houston State University precedes the following papers: (1) "Fourth and Fifth Grade Computer Centers…
Workshop on Wildlife Crime: An Interdisciplinary Perspective
2015-01-01
12211 Research Triangle Park, NC 27709-2211 Wildlife crime, computation, conservation, criminology , conservation biology, risk, poaching REPORT...Action items? Conference on “Conservation, Computation, Criminology ” C^3? Technology Transfer
NASA Astrophysics Data System (ADS)
Tang, William M., Dr.
2006-01-01
The second annual Scientific Discovery through Advanced Computing (SciDAC) Conference was held from June 25-29, 2006 at the new Hyatt Regency Hotel in Denver, Colorado. This conference showcased outstanding SciDAC-sponsored computational science results achieved during the past year across many scientific domains, with an emphasis on science at scale. Exciting computational science that has been accomplished outside of the SciDAC program both nationally and internationally was also featured to help foster communication between SciDAC computational scientists and those funded by other agencies. This was illustrated by many compelling examples of how domain scientists collaborated productively with applied mathematicians and computer scientists to effectively take advantage of terascale computers (capable of performing trillions of calculations per second) not only to accelerate progress in scientific discovery in a variety of fields but also to show great promise for being able to utilize the exciting petascale capabilities in the near future. The SciDAC program was originally conceived as an interdisciplinary computational science program based on the guiding principle that strong collaborative alliances between domain scientists, applied mathematicians, and computer scientists are vital to accelerated progress and associated discovery on the world's most challenging scientific problems. Associated verification and validation are essential in this successful program, which was funded by the US Department of Energy Office of Science (DOE OS) five years ago. As is made clear in many of the papers in these proceedings, SciDAC has fundamentally changed the way that computational science is now carried out in response to the exciting challenge of making the best use of the rapid progress in the emergence of more and more powerful computational platforms. In this regard, Dr. Raymond Orbach, Energy Undersecretary for Science at the DOE and Director of the OS has stated: `SciDAC has strengthened the role of high-end computing in furthering science. It is defining whole new fields for discovery.' (SciDAC Review, Spring 2006, p8). Application domains within the SciDAC 2006 conference agenda encompassed a broad range of science including: (i) the DOE core mission of energy research involving combustion studies relevant to fuel efficiency and pollution issues faced today and magnetic fusion investigations impacting prospects for future energy sources; (ii) fundamental explorations into the building blocks of matter, ranging from quantum chromodynamics - the basic theory that describes how quarks make up the protons and neutrons of all matter - to the design of modern high-energy accelerators; (iii) the formidable challenges of predicting and controlling the behavior of molecules in quantum chemistry and the complex biomolecules determining the evolution of biological systems; (iv) studies of exploding stars for insights into the nature of the universe; and (v) integrated climate modeling to enable realistic analysis of earth's changing climate. Associated research has made it quite clear that advanced computation is often the only means by which timely progress is feasible when dealing with these complex, multi-component physical, chemical, and biological systems operating over huge ranges of temporal and spatial scales. Working with the domain scientists, applied mathematicians and computer scientists have continued to develop the discretizations of the underlying equations and the complementary algorithms to enable improvements in solutions on modern parallel computing platforms as they evolve from the terascale toward the petascale regime. Moreover, the associated tremendous growth of data generated from the terabyte to the petabyte range demands not only the advanced data analysis and visualization methods to harvest the scientific information but also the development of efficient workflow strategies which can deal with the data input/output, management, movement, and storage challenges. If scientific discovery is expected to keep apace with the continuing progression from tera- to petascale platforms, the vital alliance between domain scientists, applied mathematicians, and computer scientists will be even more crucial. During the SciDAC 2006 Conference, some of the future challenges and opportunities in interdisciplinary computational science were emphasized in the Advanced Architectures Panel and by Dr. Victor Reis, Senior Advisor to the Secretary of Energy, who gave a featured presentation on `Simulation, Computation, and the Global Nuclear Energy Partnership.' Overall, the conference provided an excellent opportunity to highlight the rising importance of computational science in the scientific enterprise and to motivate future investment in this area. As Michael Strayer, SciDAC Program Director, has noted: `While SciDAC may have started out as a specific program, Scientific Discovery through Advanced Computing has become a powerful concept for addressing some of the biggest challenges facing our nation and our world.' Looking forward to next year, the SciDAC 2007 Conference will be held from June 24-28 at the Westin Copley Plaza in Boston, Massachusetts. Chairman: David Keyes, Columbia University. The Organizing Committee for the SciDAC 2006 Conference would like to acknowledge the individuals whose talents and efforts were essential to the success of the meeting. Special thanks go to Betsy Riley for her leadership in building the infrastructure support for the conference, for identifying and then obtaining contributions from our corporate sponsors, for coordinating all media communications, and for her efforts in organizing and preparing the conference proceedings for publication; to Tim Jones for handling the hotel scouting, subcontracts, and exhibits and stage production; to Angela Harris for handling supplies, shipping, and tracking, poster sessions set-up, and for her efforts in coordinating and scheduling the promotional activities that took place during the conference; to John Bui and John Smith for their superb wireless networking and A/V set-up and support; to Cindy Latham for Web site design, graphic design, and quality control of proceedings submissions; and to Pamelia Nixon-Hartje of Ambassador for budget and quality control of catering. We are grateful for the highly professional dedicated efforts of all of these individuals, who were the cornerstones of the SciDAC 2006 Conference. Thanks also go to Angela Beach of the ORNL Conference Center for her efforts in executing the contracts with the hotel, Carolyn James of Colorado State for on-site registration supervision, Lora Wolfe and Brittany Hagen for administrative support at ORNL, and Dami Rich and Andrew Sproles for graphic design and production. We are also most grateful to the Oak Ridge National Laboratory, especially Jeff Nichols, and to our corporate sponsors, Data Direct Networks, Cray, IBM, SGI, and Institute of Physics Publishing for their support. We especially express our gratitude to the featured speakers, invited oral speakers, invited poster presenters, session chairs, and advanced architecture panelists and chair for their excellent contributions on behalf of SciDAC 2006. We would like to express our deep appreciation to Lali Chatterjee, Graham Douglas, Margaret Smith, and the production team of Institute of Physics Publishing, who worked tirelessly to publish the final conference proceedings in a timely manner. Finally, heartfelt thanks are extended to Michael Strayer, Associate Director for OASCR and SciDAC Director, and to the DOE program managers associated with SciDAC for their continuing enthusiasm and strong support for the annual SciDAC Conferences as a special venue to showcase the exciting scientific discovery achievements enabled by the interdisciplinary collaborations championed by the SciDAC program.
Foreword: 18th Aps-Sccm and 24th Airapt
NASA Astrophysics Data System (ADS)
Collins, Gilbert; Moore, David S.; Yoo, Choong-Shik
2014-05-01
This second joint conference between the APS Topical Group on Shock Compression of Condensed Matter and the International Association for the Advancement of High Pressure Science and Technology (AIRAPT) demonstrates that static and dynamic compression of condensed matter continues to be a vibrant field of science and engineering. It is also by its nature an interdisciplinary field, incorporating chemistry, materials science, solid mechanics, plasma physics, and condensed matter physics, and utilizes theoretical, computational, and experimental tools. Recent years have brought about many advances in loading platforms, diagnostics, and computations that are leading to the emergence of many new avenues of research. These advances are also breathing new life into traditional topics such as equations of state, phase transformations, and chemistry at extreme conditions. The plenary lectures by Gennady Kanel, Karl Syassen, David Ceperley, Jon Eggert, Duck Young Kim, and Richard Kraus spanned the disciplines of static and dynamic high pressure physics and illustrated the breadth of the field. They also showed that interesting and important problems remain for researchers of the future to solve. The main guiding principal in the organization of this conference was to intertwine static and dynamical experimental alongside computational and theoretical studies of similar materials. To achieve this goal, we arranged the conference to include static, dynamic, and computational components in the same sessions, quite often taking presenters out of their comfort zone. The three special sessions on Deep Carbon Budget (organized by Giulia Galli and Rus Hemley), High Energy Density Materials (organized by Raymond Jeanloz and Jon Eggert), and Dynamic Response of Materials (organized by Yogendra Gupta and John Sarrao) furthered this guiding principal. We also endeavored to represent the breadth of static and dynamic high pressure science and technology, notably beyond that done at national laboratories. To this end, a significant fraction of the plenary, invited and contributed presentations showcased work done in academia, defense laboratories and industry, as well as internationally. Although travel distance and visa issues always present difficulties, the conference had strong representation from a record number of international participants, including sizable groups from Russia and China (thanks to Tony Zocher and Frank Cherne), as well as Japan, the United Kingdom, France, Canada, Germany, Israel, and Italy. It is our sincere hope that international interactions that occurred at the conference will lead to further collaborations in the future. Finally, we strived to increase student participation at the conference. Through the leadership of Scott Alexander and his committee, a new all-day student symposium was held the day before the main conference, with only student attendees and presenters, in order to acclimate the students to conference participation and help them network with their peers. In cooperation with the APS Topical Group and the AIRAPT and with additional support from DTRA and the AWE, the conference was able to provide financial assistance to a large number of students to attend the conference and present their research. This aid helped increase the number of student attendees significantly over previous conferences. Finally, the conference sponsored a networking lunch for students and representatives from a number of laboratories and other institutions, which was well attended. Seattle proved itself to be an excellent venue for the conference. The international flavor of the city provided ample dining options and numerous activity choices outside of the conference sessions. The major international airport made travel as easy as possible, as Seattle is a convenient central location for attendees from Europe and Asia. The conference was truly a team effort with critical contributions from many individuals. We deeply appreciate their contributions to the success of the conference and the publication of these proceedings. Gilbert (RIP) Collins David S Moore Choong-Shik Yoo
Marketing via Computer Diskette.
ERIC Educational Resources Information Center
Thombs, Michael
This report describes the development and evaluation of an interactive marketing diskette which describes the characteristics, advantages, and application procedures for each of the major computer-based graduate programs at Nova University. Copies of the diskettes were distributed at the 1988 Florida Instructional Computing Conference and were…
Proceedings of the NASA Conference on Space Telerobotics, volume 2
NASA Technical Reports Server (NTRS)
Rodriguez, Guillermo (Editor); Seraji, Homayoun (Editor)
1989-01-01
These proceedings contain papers presented at the NASA Conference on Space Telerobotics held in Pasadena, January 31 to February 2, 1989. The theme of the Conference was man-machine collaboration in space. The Conference provided a forum for researchers and engineers to exchange ideas on the research and development required for application of telerobotics technology to the space systems planned for the 1990s and beyond. The Conference: (1) provided a view of current NASA telerobotic research and development; (2) stimulated technical exchange on man-machine systems, manipulator control, machine sensing, machine intelligence, concurrent computation, and system architectures; and (3) identified important unsolved problems of current interest which can be dealt with by future research.
Day, Troy
2012-01-01
The process of evolutionary diversification unfolds in a vast genotypic space of potential outcomes. During the past century, there have been remarkable advances in the development of theory for this diversification, and the theory's success rests, in part, on the scope of its applicability. A great deal of this theory focuses on a relatively small subset of the space of potential genotypes, chosen largely based on historical or contemporary patterns, and then predicts the evolutionary dynamics within this pre-defined set. To what extent can such an approach be pushed to a broader perspective that accounts for the potential open-endedness of evolutionary diversification? There have been a number of significant theoretical developments along these lines but the question of how far such theory can be pushed has not been addressed. Here a theorem is proven demonstrating that, because of the digital nature of inheritance, there are inherent limits on the kinds of questions that can be answered using such an approach. In particular, even in extremely simple evolutionary systems, a complete theory accounting for the potential open-endedness of evolution is unattainable unless evolution is progressive. The theorem is closely related to Gödel's incompleteness theorem, and to the halting problem from computability theory. PMID:21849390
Framework for computationally efficient optimal irrigation scheduling using ant colony optimization
USDA-ARS?s Scientific Manuscript database
A general optimization framework is introduced with the overall goal of reducing search space size and increasing the computational efficiency of evolutionary algorithm application for optimal irrigation scheduling. The framework achieves this goal by representing the problem in the form of a decisi...
Pervasive Computing and Communication Technologies for U-Learning
ERIC Educational Resources Information Center
Park, Young C.
2014-01-01
The development of digital information transfer, storage and communication methods influences a significant effect on education. The assimilation of pervasive computing and communication technologies marks another great step forward, with Ubiquitous Learning (U-learning) emerging for next generation learners. In the evolutionary view the 5G (or…
Uncertainty and Surprise: Ideas from the Open Discussion
NASA Astrophysics Data System (ADS)
Jordan, Michelle E.
Approximately one hundred participants met for three days at a conference entitled "Uncertainty and Surprise: Questions on Working with the Unexpected and Unknowable." There were a diversity of conference participants ranging from researchers in the natural sciences and researchers in the social sciences (business professors, physicists, ethnographers, nursing school deans) to practitioners and executives in public policy and management (business owners, health care managers, high tech executives), all of whom had varying levels of experience and expertise in dealing with uncertainty and surprise. One group held the traditional, statistical view that uncertainty comes from variance and events that are described by usually unimodal probability law. A second group was comfortable on the one hand with phase diagrams and the phase transitions that come from systems with multi-modal distributions, and on the other hand, with deterministic chaos. A third group was comfortable with the emergent events from evolutionary processes that may not have any probability laws at all.
Conference on asbestos control and replacement for electric utilities: Proceedings
DOE Office of Scientific and Technical Information (OSTI.GOV)
Not Available
An EPRI conference on Asbestos Control and Replacement for Electric Utilities was held April 9, 1992 in conjunction with the National Asbestos Council's Environmental Management 192 Conference and Exposition. The high cost and potential liabilities of asbestos removal projects, compounded by concerns over the health effects of asbestos replacement materials, was the main motivation for the conference. The objective of the conference was to assemble guidance and information that will help utilities manage asbestos and to effectively prioritize EPRI research in this area. Ten papers covered such topics as computer-aided asbestos management, utility experience with asbestos management, asbestos monitoring andmore » disposal, and asbestos replacement materials. Utility feedback received at the conference indicates that present and planned EPRI research activities in this area will effectively meet industry needs.« less
NASA Astrophysics Data System (ADS)
Stevens, Rick
2008-07-01
The fourth annual Scientific Discovery through Advanced Computing (SciDAC) Conference was held June 13-18, 2008, in Seattle, Washington. The SciDAC conference series is the premier communitywide venue for presentation of results from the DOE Office of Science's interdisciplinary computational science program. Started in 2001 and renewed in 2006, the DOE SciDAC program is the country's - and arguably the world's - most significant interdisciplinary research program supporting the development of advanced scientific computing methods and their application to fundamental and applied areas of science. SciDAC supports computational science across many disciplines, including astrophysics, biology, chemistry, fusion sciences, and nuclear physics. Moreover, the program actively encourages the creation of long-term partnerships among scientists focused on challenging problems and computer scientists and applied mathematicians developing the technology and tools needed to address those problems. The SciDAC program has played an increasingly important role in scientific research by allowing scientists to create more accurate models of complex processes, simulate problems once thought to be impossible, and analyze the growing amount of data generated by experiments. To help further the research community's ability to tap into the capabilities of current and future supercomputers, Under Secretary for Science, Raymond Orbach, launched the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program in 2003. The INCITE program was conceived specifically to seek out computationally intensive, large-scale research projects with the potential to significantly advance key areas in science and engineering. The program encourages proposals from universities, other research institutions, and industry. During the first two years of the INCITE program, 10 percent of the resources at NERSC were allocated to INCITE awardees. However, demand for supercomputing resources far exceeded available systems; and in 2003, the Office of Science identified increasing computing capability by a factor of 100 as the second priority on its Facilities of the Future list. The goal was to establish leadership-class computing resources to support open science. As a result of a peer reviewed competition, the first leadership computing facility was established at Oak Ridge National Laboratory in 2004. A second leadership computing facility was established at Argonne National Laboratory in 2006. This expansion of computational resources led to a corresponding expansion of the INCITE program. In 2008, Argonne, Lawrence Berkeley, Oak Ridge, and Pacific Northwest national laboratories all provided resources for INCITE. By awarding large blocks of computer time on the DOE leadership computing facilities, the INCITE program enables the largest-scale computations to be pursued. In 2009, INCITE will award over half a billion node-hours of time. The SciDAC conference celebrates progress in advancing science through large-scale modeling and simulation. Over 350 participants attended this year's talks, poster sessions, and tutorials, spanning the disciplines supported by DOE. While the principal focus was on SciDAC accomplishments, this year's conference also included invited presentations and posters from DOE INCITE awardees. Another new feature in the SciDAC conference series was an electronic theater and video poster session, which provided an opportunity for the community to see over 50 scientific visualizations in a venue equipped with many high-resolution large-format displays. To highlight the growing international interest in petascale computing, this year's SciDAC conference included a keynote presentation by Herman Lederer from the Max Planck Institut, one of the leaders of DEISA (Distributed European Infrastructure for Supercomputing Applications) project and a member of the PRACE consortium, Europe's main petascale project. We also heard excellent talks from several European groups, including Laurent Gicquel of CERFACS, who spoke on `Large-Eddy Simulations of Turbulent Reacting Flows of Real Burners: Status and Challenges', and Jean-Francois Hamelin from EDF, who presented a talk on `Getting Ready for Petaflop Capacities and Beyond: A Utility Perspective'. Two other compelling addresses gave attendees a glimpse into the future. Tomas Diaz de la Rubia of Lawrence Livermore National Laboratory spoke on a vision for a fusion/fission hybrid reactor known as the `LIFE Engine' and discussed some of the materials and modeling challenges that need to be overcome to realize the vision for a 1000-year greenhouse-gas-free power source. Dan Reed from Microsoft gave a capstone talk on the convergence of technology, architecture, and infrastructure for cloud computing, data-intensive computing, and exascale computing (1018 flops/sec). High-performance computing is making rapid strides. The SciDAC community's computational resources are expanding dramatically. In the summer of 2008 the first general purpose petascale system (IBM Cell-based RoadRunner at Los Alamos National Laboratory) was recognized in the top 500 list of fastest machines heralding in the dawning of the petascale era. The DOE's leadership computing facility at Argonne reached number three on the Top 500 and is at the moment the most capable open science machine based on an IBM BG/P system with a peak performance of over 550 teraflops/sec. Later this year Oak Ridge is expected to deploy a 1 petaflops/sec Cray XT system. And even before the scientific community has had an opportunity to make significant use of petascale systems, the computer science research community is forging ahead with ideas and strategies for development of systems that may by the end of the next decade sustain exascale performance. Several talks addressed barriers to, and strategies for, achieving exascale capabilities. The last day of the conference was devoted to tutorials hosted by Microsoft Research at a new conference facility in Redmond, Washington. Over 90 people attended the tutorials, which covered topics ranging from an introduction to BG/P programming to advanced numerical libraries. The SciDAC and INCITE programs and the DOE Office of Advanced Scientific Computing Research core program investments in applied mathematics, computer science, and computational and networking facilities provide a nearly optimum framework for advancing computational science for DOE's Office of Science. At a broader level this framework also is benefiting the entire American scientific enterprise. As we look forward, it is clear that computational approaches will play an increasingly significant role in addressing challenging problems in basic science, energy, and environmental research. It takes many people to organize and support the SciDAC conference, and I would like to thank as many of them as possible. The backbone of the conference is the technical program; and the task of selecting, vetting, and recruiting speakers is the job of the organizing committee. I thank the members of this committee for all the hard work and the many tens of conference calls that enabled a wonderful program to be assembled. This year the following people served on the organizing committee: Jim Ahrens, LANL; David Bader, LLNL; Bryan Barnett, Microsoft; Peter Beckman, ANL; Vincent Chan, GA; Jackie Chen, SNL; Lori Diachin, LLNL; Dan Fay, Microsoft; Ian Foster, ANL; Mark Gordon, Ames; Mohammad Khaleel, PNNL; David Keyes, Columbia University; Bob Lucas, University of Southern California; Tony Mezzacappa, ORNL; Jeff Nichols, ORNL; David Nowak, ANL; Michael Papka, ANL; Thomas Schultess, ORNL; Horst Simon, LBNL; David Skinner, LBNL; Panagiotis Spentzouris, Fermilab; Bob Sugar, UCSB; and Kathy Yelick, LBNL. I owe a special thanks to Mike Papka and Jim Ahrens for handling the electronic theater. I also thank all those who submitted videos. It was a highly successful experiment. Behind the scenes an enormous amount of work is required to make a large conference go smoothly. First I thank Cheryl Zidel for her tireless efforts as organizing committee liaison and posters chair and, in general, handling all of my end of the program and keeping me calm. I also thank Gail Pieper for her work in editing the proceedings, Beth Cerny Patino for her work on the Organizing Committee website and electronic theater, and Ken Raffenetti for his work in keeping that website working. Jon Bashor and John Hules did an excellent job in handling conference communications. I thank Caitlin Youngquist for the striking graphic design; Dan Fay for tutorials arrangements; and Lynn Dory, Suzanne Stevenson, Sarah Pebelske and Sarah Zidel for on-site registration and conference support. We all owe Yeen Mankin an extra-special thanks for choosing the hotel, handling contracts, arranging menus, securing venues, and reassuring the chair that everything was under control. We are pleased to have obtained corporate sponsorship from Cray, IBM, Intel, HP, and SiCortex. I thank all the speakers and panel presenters. I also thank the former conference chairs Tony Metzzacappa, Bill Tang, and David Keyes, who were never far away for advice and encouragement. Finally, I offer my thanks to Michael Strayer, without whose leadership, vision, and persistence the SciDAC program would not have come into being and flourished. I am honored to be part of his program and his friend. Rick Stevens Seattle, Washington July 18, 2008
Langley's CSI evolutionary model: Phase O
NASA Technical Reports Server (NTRS)
Belvin, W. Keith; Elliott, Kenny B.; Horta, Lucas G.; Bailey, Jim P.; Bruner, Anne M.; Sulla, Jeffrey L.; Won, John; Ugoletti, Roberto M.
1991-01-01
A testbed for the development of Controls Structures Interaction (CSI) technology to improve space science platform pointing is described. The evolutionary nature of the testbed will permit the study of global line-of-sight pointing in phases 0 and 1, whereas, multipayload pointing systems will be studied beginning with phase 2. The design, capabilities, and typical dynamic behavior of the phase 0 version of the CSI evolutionary model (CEM) is documented for investigator both internal and external to NASA. The model description includes line-of-sight pointing measurement, testbed structure, actuators, sensors, and real time computers, as well as finite element and state space models of major components.
Kumar, S; Gadagkar, S R
2000-12-01
The neighbor-joining (NJ) method is widely used in reconstructing large phylogenies because of its computational speed and the high accuracy in phylogenetic inference as revealed in computer simulation studies. However, most computer simulation studies have quantified the overall performance of the NJ method in terms of the percentage of branches inferred correctly or the percentage of replications in which the correct tree is recovered. We have examined other aspects of its performance, such as the relative efficiency in correctly reconstructing shallow (close to the external branches of the tree) and deep branches in large phylogenies; the contribution of zero-length branches to topological errors in the inferred trees; and the influence of increasing the tree size (number of sequences), evolutionary rate, and sequence length on the efficiency of the NJ method. Results show that the correct reconstruction of deep branches is no more difficult than that of shallower branches. The presence of zero-length branches in realized trees contributes significantly to the overall error observed in the NJ tree, especially in large phylogenies or slowly evolving genes. Furthermore, the tree size does not influence the efficiency of NJ in reconstructing shallow and deep branches in our simulation study, in which the evolutionary process is assumed to be homogeneous in all lineages.
Books and monographs on finite element technology
NASA Technical Reports Server (NTRS)
Noor, A. K.
1985-01-01
The present paper proviees a listing of all of the English books and some of the foreign books on finite element technology, taking into account also a list of the conference proceedings devoted solely to finite elements. The references are divided into categories. Attention is given to fundamentals, mathematical foundations, structural and solid mechanics applications, fluid mechanics applications, other applied science and engineering applications, computer implementation and software systems, computational and modeling aspects, special topics, boundary element methods, proceedings of symmposia and conferences on finite element technology, bibliographies, handbooks, and historical accounts.
Proceedings of the NASA Conference on Space Telerobotics, volume 3
NASA Technical Reports Server (NTRS)
Rodriguez, Guillermo (Editor); Seraji, Homayoun (Editor)
1989-01-01
The theme of the Conference was man-machine collaboration in space. The Conference provided a forum for researchers and engineers to exchange ideas on the research and development required for application of telerobotics technology to the space systems planned for the 1990s and beyond. The Conference: (1) provided a view of current NASA telerobotic research and development; (2) stimulated technical exchange on man-machine systems, manipulator control, machine sensing, machine intelligence, concurrent computation, and system architectures; and (3) identified important unsolved problems of current interest which can be dealt with by future research.
DOE Workshop at Tapia Conference
DOE Office of Scientific and Technical Information (OSTI.GOV)
Taylor, Valerie
2015-02-19
The DE-SC0013568 DOE Grant, in the amount of $11,822.79, was used to support five doctoral students from underrepresented groups to attend the 2015 Richard Tapia Celebration of Diversity in Computing Conference, held February 18-21 in Boston, MA. Each scholarship was approximately $1200 to cover conference registration, travel, and lodging for the duration of the conference. The remaining $5,822.79 was used to support a DOE Breakfast Workshop during breakfast on Thursday, February 19. The Breakfast supported approximately 140 graduate students from underrepresented groups to learn about the different career opportunities at the different DOE National Laboratories.
Spore: Spawning Evolutionary Misconceptions?
NASA Astrophysics Data System (ADS)
Bean, Thomas E.; Sinatra, Gale M.; Schrader, P. G.
2010-10-01
The use of computer simulations as educational tools may afford the means to develop understanding of evolution as a natural, emergent, and decentralized process. However, special consideration of developmental constraints on learning may be necessary when using these technologies. Specifically, the essentialist (biological forms possess an immutable essence), teleological (assignment of purpose to living things and/or parts of living things that may not be purposeful), and intentionality (assumption that events are caused by an intelligent agent) biases may be reinforced through the use of computer simulations, rather than addressed with instruction. We examine the video game Spore for its depiction of evolutionary content and its potential to reinforce these cognitive biases. In particular, we discuss three pedagogical strategies to mitigate weaknesses of Spore and other computer simulations: directly targeting misconceptions through refutational approaches, targeting specific principles of scientific inquiry, and directly addressing issues related to models as cognitive tools.
Parallel Evolutionary Optimization for Neuromorphic Network Training
DOE Office of Scientific and Technical Information (OSTI.GOV)
Schuman, Catherine D; Disney, Adam; Singh, Susheela
One of the key impediments to the success of current neuromorphic computing architectures is the issue of how best to program them. Evolutionary optimization (EO) is one promising programming technique; in particular, its wide applicability makes it especially attractive for neuromorphic architectures, which can have many different characteristics. In this paper, we explore different facets of EO on a spiking neuromorphic computing model called DANNA. We focus on the performance of EO in the design of our DANNA simulator, and on how to structure EO on both multicore and massively parallel computing systems. We evaluate how our parallel methods impactmore » the performance of EO on Titan, the U.S.'s largest open science supercomputer, and BOB, a Beowulf-style cluster of Raspberry Pi's. We also focus on how to improve the EO by evaluating commonality in higher performing neural networks, and present the result of a study that evaluates the EO performed by Titan.« less
ERIC Educational Resources Information Center
Roblyer, M. D., Ed.
Current issues in educational uses for microcomputers are addressed in this collection of 139 abstracts of papers in which computer literacy and practical applications dominate. Topics discussed include factors related to computer use in the classroom, e.g., computer lab utilization; teaching geometry, science, math, and English via…
The Computer Revolution and Its Impact on Education.
ERIC Educational Resources Information Center
Willis, Bernice H., Ed.
With twelve papers presented in five panels, this session of a conference on education in the South covers the computer revolution and its impact on education. In the first panel, four papers give computer vendors' views on the application of computers to education, discussing microcomputers and their uses in education, Control Data Corporation's…
A Classification of Recent Australasian Computing Education Publications
ERIC Educational Resources Information Center
Computer Science Education, 2007
2007-01-01
A new classification system for computing education papers is presented and applied to every computing education paper published between January 2004 and January 2007 at the two premier computing education conferences in Australia and New Zealand. We find that while simple reports outnumber other types of paper, a healthy proportion of papers…
An Evolutionary-Based Framework for Analyzing Mold and Dampness-Associated Symptoms in DMHS
Daschner, Alvaro
2017-01-01
Among potential environmental harmful factors, fungi deserve special consideration. Their intrinsic ability to actively germinate or infect host tissues might determine a prominent trigger in host defense mechanisms. With the appearance of fungi in evolutionary history, other organisms had to evolve strategies to recognize and cope with them. Existing controversies around dampness and mold hypersensitivity syndrome (DMHS) can be due to the great variability of clinical symptoms but also of possible eliciting factors associated with mold and dampness. An hypothesis is presented, where an evolutionary analysis of the different response patterns seen in DMHS is able to explain the existing variability of disease patterns. Classical interpretation of immune responses and symptoms are addressed within the field of pathophysiology. The presented evolutionary analysis seeks for the ultimate causes of the vast array of symptoms in DMHS. Symptoms can be interpreted as induced by direct (toxic) actions of spores, mycotoxins, or other fungal metabolites, or on the other side by the host-initiated response, which aims to counterbalance and fight off potentially deleterious effects or fungal infection. Further, individual susceptibility of immune reactions can confer an exaggerated response, and magnified symptoms are then explained in terms of immunopathology. IgE-mediated allergy fits well in this scenario, where individuals with an atopic predisposition suffer from an exaggerated response to mold exposure, but studies addressing why such responses have evolved and if they could be advantageous are scarce. Human history is plenty of plagues and diseases connected with mold exposure, which could explain vulnerability to mold allergy. Likewise, multiorgan symptoms in DMHS are analyzed for its possible adaptive role not only in the defense of an active infection, but also as evolved mechanisms for avoidance of potentially harmful environments in an evolutionary past or present setting. PMID:28119688
An Evolutionary-Based Framework for Analyzing Mold and Dampness-Associated Symptoms in DMHS.
Daschner, Alvaro
2016-01-01
Among potential environmental harmful factors, fungi deserve special consideration. Their intrinsic ability to actively germinate or infect host tissues might determine a prominent trigger in host defense mechanisms. With the appearance of fungi in evolutionary history, other organisms had to evolve strategies to recognize and cope with them. Existing controversies around dampness and mold hypersensitivity syndrome (DMHS) can be due to the great variability of clinical symptoms but also of possible eliciting factors associated with mold and dampness. An hypothesis is presented, where an evolutionary analysis of the different response patterns seen in DMHS is able to explain the existing variability of disease patterns. Classical interpretation of immune responses and symptoms are addressed within the field of pathophysiology. The presented evolutionary analysis seeks for the ultimate causes of the vast array of symptoms in DMHS. Symptoms can be interpreted as induced by direct (toxic) actions of spores, mycotoxins, or other fungal metabolites, or on the other side by the host-initiated response, which aims to counterbalance and fight off potentially deleterious effects or fungal infection. Further, individual susceptibility of immune reactions can confer an exaggerated response, and magnified symptoms are then explained in terms of immunopathology. IgE-mediated allergy fits well in this scenario, where individuals with an atopic predisposition suffer from an exaggerated response to mold exposure, but studies addressing why such responses have evolved and if they could be advantageous are scarce. Human history is plenty of plagues and diseases connected with mold exposure, which could explain vulnerability to mold allergy. Likewise, multiorgan symptoms in DMHS are analyzed for its possible adaptive role not only in the defense of an active infection, but also as evolved mechanisms for avoidance of potentially harmful environments in an evolutionary past or present setting.
Eirín-López, José M
2013-01-01
The study of chromatin constitutes one of the most active research fields in life sciences, being subject to constant revisions that continuously redefine the state of the art in its knowledge. As every other rapidly changing field, chromatin biology requires clear and straightforward educational strategies able to efficiently translate such a vast body of knowledge to the classroom. With this aim, the present work describes a multidisciplinary computer lab designed to introduce undergraduate students to the dynamic nature of chromatin, within the context of the one semester course "Chromatin: Structure, Function and Evolution." This exercise is organized in three parts including (a) molecular evolutionary biology of histone families (using the H1 family as example), (b) histone structure and variation across different animal groups, and (c) effect of histone diversity on nucleosome structure and chromatin dynamics. By using freely available bioinformatic tools that can be run on common computers, the concept of chromatin dynamics is interactively illustrated from a comparative/evolutionary perspective. At the end of this computer lab, students are able to translate the bioinformatic information into a biochemical context in which the relevance of histone primary structure on chromatin dynamics is exposed. During the last 8 years this exercise has proven to be a powerful approach for teaching chromatin structure and dynamics, allowing students a higher degree of independence during the processes of learning and self-assessment. Copyright © 2013 International Union of Biochemistry and Molecular Biology, Inc.
Report of Ninth Biennial Conference on Chemical Education.
ERIC Educational Resources Information Center
Journal of Chemical Education, 1987
1987-01-01
Provides a summary of the events occurring at the Ninth Biennial Conference on Chemical Education, held in Bozeman, Montana, on July 27-August 2, 1986. Contains brief descriptions of sessions on the role of chemists, demonstrations of laboratory experiences, learning chemistry with computers, teacher training, and chemistry for elementary school…
ERIC Educational Resources Information Center
Music Educators Journal, 1988
1988-01-01
This supplement is a comprehensive guide to the music industry designed for music teachers. Included are tips for contacting music businesses and suggestions on ordering music, robes, instruments, computer software, and other supplies. Includes an annotated directory of Music Industry Conference members. (JDH)
A Monocular SLAM Method to Estimate Relative Pose During Satellite Proximity Operations
2015-03-26
localization and mapping with efficient outlier handling. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2013. 5. Herbert Bay...S.H. Spencer . Next generation advanced video guidance sensor. In Aerospace Conference, 2008 IEEE, pages 1–8, March 2008. 12. Michael Calonder, Vincent
ERIC Educational Resources Information Center
Presperin, Jessica J., Ed.
This proceedings document contains approximately 250 papers and posters presented at a conference on the advancement of rehabilitation and assistive technology. Individual sessions focused on the following topics: quantitative functional evaluation, upper limb and therapeutic stimulation, human-computer interface developments, information…
Proceedings of a Conference on Medical Information Systems.
ERIC Educational Resources Information Center
Health Services and Mental Health Administration (DHEW), Bethesda, MD.
The purposes of this conference are: to define the current state of technology; to identify the problems, needs and emerging technology; and to consider alternative computer applications to multiple-facility medical information systems for the delivery of medical care and for health services research. The papers presented include: (1) General…
ERIC Educational Resources Information Center
Selfe, Cindy, Ed.
2012-01-01
At the Computers and Writing 2011 Conference in Ann Arbor, Michigan, Gail E. Hawisher was celebrated for her many contributions to the field. At that conference, Hawisher gave a keynote address entitled "Our Work in the Profession: The Here and Now of the Future." This video publication includes contributions from scholars who wanted to share…
Partial Bibliography of Work on Expert Systems,
1982-12-01
Bibliography: AAAI American Association for Artificial Intelligence ACM Association for Computing Machinery AFIPS American Federation of Information...Processing Societies ECAI European Conference on Artificial Intelligence IEEE Institute for Electrical and Electronic Engineers IFIPS International...Federation of Information Processing Societies IJCAI International Joint Conferences on Artificial Intelligence SIGPLAN ACM Special Interest Group on
Polyploidy and its effect on evolutionary success: old questions revisited with new tools
Madlung, A
2013-01-01
Polyploidy, the condition of possessing more than two complete genomes in a cell, has intrigued biologists for almost a century. Polyploidy is found in many plants and some animal species and today we know that polyploidy has had a role in the evolution of all angiosperms. Despite its widespread occurrence, the direct effect of polyploidy on evolutionary success of a species is still largely unknown. Over the years many attractive hypotheses have been proposed in an attempt to assign functionality to the increased content of a duplicated genome. Among these hypotheses are the proposal that genome doubling confers distinct advantages to a polyploid and that these advantages allow polyploids to thrive in environments that pose challenges to the polyploid's diploid progenitors. This article revisits these long-standing questions and explores how the integration of recent genomic developments with ecological, physiological and evolutionary perspectives has contributed to addressing unresolved problems about the role of polyploidy. Although unsatisfactory, the current conclusion has to be that despite significant progress, there still isn't enough information to unequivocally answer many unresolved questions about cause and effect of polyploidy on evolutionary success of a species. There is, however, reason to believe that the increasingly integrative approaches discussed here should allow us in the future to make more direct connections between the effects of polyploidy on the genome and the responses this condition elicits from the organism living in its natural environment. PMID:23149459
ERIC Educational Resources Information Center
Cherry, C. Maurice, Ed.
This collection of conference papers includes the following: (1) "Four Decades of Foreign Language Education: Are We Still at Cheese Station N?" (T. Bruce Fryer); (2) "Teaching French with the Internet: What the Students Want vs. What They Do" (Jean-Louis P. Dassier); (3) "Learning Behind the Screen: Computers,…
2007-12-01
Boyle, “Important issues in hypertext documentation usability,” In Proceedings of the 9th Annual international Conference on Systems Documentation...Tufte’s principles of information design to creating effective Web sites.” In Proceedings of the 15th Annual international Conference on Computer...usability,” In Proceedings of the 9th Annual international Conference on Systems Documentation (Chicago, Illinois, 1991). SIGDOC . ACM, New York, NY
van der Vossen, E A; van der Voort, J N; Kanyuka, K; Bendahmane, A; Sandbrink, H; Baulcombe, D C; Bakker, J; Stiekema, W J; Klein-Lankhorst, R M
2000-09-01
The isolation of the nematode-resistance gene Gpa2 in potato is described, and it is demonstrated that highly homologous resistance genes of a single resistance-gene cluster can confer resistance to distinct pathogen species. Molecular analysis of the Gpa2 locus resulted in the identification of an R-gene cluster of four highly homologous genes in a region of approximately 115 kb. At least two of these genes are active: one corresponds to the previously isolated Rx1 gene that confers resistance to potato virus X, while the other corresponds to the Gpa2 gene that confers resistance to the potato cyst nematode Globodera pallida. The proteins encoded by the Gpa2 and the Rx1 genes share an overall homology of over 88% (amino-acid identity) and belong to the leucine-zipper, nucleotide-binding site, leucine-rich repeat (LZ-NBS-LRR)-containing class of plant resistance genes. From the sequence conservation between Gpa2 and Rx1 it is clear that there is a direct evolutionary relationship between the two proteins. Sequence diversity is concentrated in the LRR region and in the C-terminus. The putative effector domains are more conserved suggesting that, at least in this case, nematode and virus resistance cascades could share common components. These findings underline the potential of protein breeding for engineering new resistance specificities against plant pathogens in vitro.
High-End Computing for Incompressible Flows
NASA Technical Reports Server (NTRS)
Kwak, Dochan; Kiris, Cetin
2001-01-01
The objective of the First MIT Conference on Computational Fluid and Solid Mechanics (June 12-14, 2001) is to bring together industry and academia (and government) to nurture the next generation in computational mechanics. The objective of the current talk, 'High-End Computing for Incompressible Flows', is to discuss some of the current issues in large scale computing for mission-oriented tasks.
Inquiry-Based Learning of Molecular Phylogenetics
ERIC Educational Resources Information Center
Campo, Daniel; Garcia-Vazquez, Eva
2008-01-01
Reconstructing phylogenies from nucleotide sequences is a challenge for students because it strongly depends on evolutionary models and computer tools that are frequently updated. We present here an inquiry-based course aimed at learning how to trace a phylogeny based on sequences existing in public databases. Computer tools are freely available…
Cloud Based Applications and Platforms (Presentation)
DOE Office of Scientific and Technical Information (OSTI.GOV)
Brodt-Giles, D.
2014-05-15
Presentation to the Cloud Computing East 2014 Conference, where we are highlighting our cloud computing strategy, describing the platforms on the cloud (including Smartgrid.gov), and defining our process for implementing cloud based applications.
PREFACE: 1st International Conference on Mechanical Engineering Research 2011 (ICMER2011)
NASA Astrophysics Data System (ADS)
Abu Bakar, Rosli
2012-09-01
The year 2010 represented a significant milestone in the history of the Mechanical Engineering community with the organization of the first and second national level conferences (National Conference in Mechanical Engineering for Research, 1st and 2nd NCMER) at Universiti Malaysia Pahang on 26-27 May and 3-4 December 2010. The conferences attracted a large number of delegates from different premier academic and research institutions in the country to participate and share their research experiences at the conference. The International Conference on Mechanical Engineering Research (ICMER 2011) followed on from the first and second conferences due to good support from researchers. The ICMER 2011 is a good platform for researchers and postgraduate students to present their latest finding in research. The conference covers a wide range of topics including the internal combustion engine, machining processes, heat and mass transfer, fuel, biomechanical analysis, aerodynamic analysis, thermal comfort, computational techniques, design and simulation, automotive transmission, optimization techniques, hybrid electric vehicles, engine vibration, heat exchangers, finite element analysis, computational fluid dynamics, green energy, vehicle dynamics renewable energy, combustion, design, product development, advanced experimentation techniques, to name but a few. The international conference has helped to bridge the gap between researchers working at different institutions and in different countries to share their knowledge and has helped to motivate young scientists with their research. This has also given some clear direction for further research from the deliberations of the conference. Several people have contributed in different ways to the success of the conference. We thank the keynote speakers and all authors of the contributed papers, for the cooperation rendered to us in the publication of the CD conference proceedings. In particular, we would like to place on record our thanks to the expert reviewers who have spared their time reviewing the papers. We also highly appreciate the assistance offered by many volunteers in the preparation of the conference proceedings. All papers in ICMER 2011 have the opportunity to be published in IOP Conference Series: Materials Science and Engineering, (indexed by Scopus, Ei Compendex, Inspec), International Journal of Automotive and Mechanical Engineering (IJAME) and Journal of Mechanical Engineering and Sciences (JMES). Professor Dr Hj Rosli Abu Bakar Chairman ICMER 2011
Wright, Cameron H G; Barrett, Steven F; Pack, Daniel J
2005-01-01
We describe a new approach to attacking the problem of robust computer vision for mobile robots. The overall strategy is to mimic the biological evolution of animal vision systems. Our basic imaging sensor is based upon the eye of the common house fly, Musca domestica. The computational algorithms are a mix of traditional image processing, subspace techniques, and multilayer neural networks.
Computers in Composition Instruction.
ERIC Educational Resources Information Center
Shostak, Robert, Ed.
This volume consists of nine conference papers and journal articles concerned with microcomputer applications in the teaching of writing. After a general introduction entitled "Computer-Assisted Composition Instruction: The State of the Art," by Robert Shostak, four papers are devoted to how computers may help with the writing process. In…
Preface for the special issue of Mathematical Biosciences and Engineering, BIOCOMP 2012.
Buonocore, Aniello; Di Crescenzo, Antonio; Hastings, Alan
2014-04-01
The International Conference "BIOCOMP2012 - Mathematical Modeling and Computational Topics in Biosciences'', was held in Vietri sul Mare (Italy), June 4-8, 2012. It was dedicated to the Memory of Professor Luigi M. Ricciardi (1942-2011), who was a visionary and tireless promoter of the 3 previous editions of the BIOCOMP conference series. We thought that the best way to honor his memory was to continue the BIOCOMP program. Over the years, this conference promoted scientific activities related to his wide interests and scientific expertise, which ranged in various areas of applications of mathematics, probability and statistics to biosciences and cybernetics, also with emphasis on computational problems. We are pleased that many of his friends and colleagues, as well as many other scientists, were attracted by the goals of this recent event and offered to contribute to its success.
International Barcode of Life: Focus on big biodiversity in South Africa.
Adamowicz, Sarah J; Hollingsworth, Peter M; Ratnasingham, Sujeevan; van der Bank, Michelle
2017-11-01
Participants in the 7th International Barcode of Life Conference (Kruger National Park, South Africa, 20-24 November 2017) share the latest findings in DNA barcoding research and its increasingly diversified applications. Here, we review prevailing trends synthesized from among 429 invited and contributed abstracts, which are collated in this open-access special issue of Genome. Hosted for the first time on the African continent, the 7th Conference places special emphasis on the evolutionary origins, biogeography, and conservation of African flora and fauna. Within Africa and elsewhere, DNA barcoding and related techniques are being increasingly used for wildlife forensics and for the validation of commercial products, such as medicinal plants and seafood species. A striking trend of the conference is the dramatic rise of studies on environmental DNA (eDNA) and on diverse uses of high-throughput sequencing techniques. Emerging techniques in these areas are opening new avenues for environmental biomonitoring, managing species-at-risk and invasive species, and revealing species interaction networks in unprecedented detail. Contributors call for the development of validated community standards for high-throughput sequence data generation and analysis, to enable the full potential of these methods to be realized for understanding and managing biodiversity on a global scale.
Automated Antenna Design with Evolutionary Algorithms
NASA Technical Reports Server (NTRS)
Hornby, Gregory S.; Globus, Al; Linden, Derek S.; Lohn, Jason D.
2006-01-01
Current methods of designing and optimizing antennas by hand are time and labor intensive, and limit complexity. Evolutionary design techniques can overcome these limitations by searching the design space and automatically finding effective solutions. In recent years, evolutionary algorithms have shown great promise in finding practical solutions in large, poorly understood design spaces. In particular, spacecraft antenna design has proven tractable to evolutionary design techniques. Researchers have been investigating evolutionary antenna design and optimization since the early 1990s, and the field has grown in recent years as computer speed has increased and electromagnetic simulators have improved. Two requirements-compliant antennas, one for ST5 and another for TDRS-C, have been automatically designed by evolutionary algorithms. The ST5 antenna is slated to fly this year, and a TDRS-C phased array element has been fabricated and tested. Such automated evolutionary design is enabled by medium-to-high quality simulators and fast modern computers to evaluate computer-generated designs. Evolutionary algorithms automate cut-and-try engineering, substituting automated search though millions of potential designs for intelligent search by engineers through a much smaller number of designs. For evolutionary design, the engineer chooses the evolutionary technique, parameters and the basic form of the antenna, e.g., single wire for ST5 and crossed-element Yagi for TDRS-C. Evolutionary algorithms then search for optimal configurations in the space defined by the engineer. NASA's Space Technology 5 (ST5) mission will launch three small spacecraft to test innovative concepts and technologies. Advanced evolutionary algorithms were used to automatically design antennas for ST5. The combination of wide beamwidth for a circularly-polarized wave and wide impedance bandwidth made for a challenging antenna design problem. From past experience in designing wire antennas, we chose to constrain the evolutionary design to a monopole wire antenna. The results of the runs produced requirements-compliant antennas that were subsequently fabricated and tested. The evolved antenna has a number of advantages with regard to power consumption, fabrication time and complexity, and performance. Lower power requirements result from achieving high gain across a wider range of elevation angles, thus allowing a broader range of angles over which maximum data throughput can be achieved. Since the evolved antenna does not require a phasing circuit, less design and fabrication work is required. In terms of overall work, the evolved antenna required approximately three person-months to design and fabricate whereas the conventional antenna required about five. Furthermore, when the mission was modified and new orbital parameters selected, a redesign of the antenna to new requirements was required. The evolutionary system was rapidly modified and a new antenna evolved in a few weeks. The evolved antenna was shown to be compliant to the ST5 mission requirements. It has an unusual organic looking structure, one that expert antenna designers would not likely produce. This antenna has been tested, baselined and is scheduled to fly this year. In addition to the ST5 antenna, our laboratory has evolved an S-band phased array antenna element design that meets the requirements for NASA's TDRS-C communications satellite scheduled for launch early next decade. A combination of fairly broad bandwidth, high efficiency and circular polarization at high gain made for another challenging design problem. We chose to constrain the evolutionary design to a crossed-element Yagi antenna. The specification called for two types of elements, one for receive only and one for transmit/receive. We were able to evolve a single element design that meets both specifications thereby simplifying the antenna and reducing testing and integration costs. The highest performance antenna found using a getic algorithm and stochastic hill-climbing has been fabricated and tested. Laboratory results correspond well with simulation. Aerospace component design is an expensive and important step in space development. Evolutionary design can make a significant contribution wherever sufficiently fast, accurate and capable software simulators are available. We have demonstrated successful real-world design in the spacecraft antenna domain; and there is good reason to believe that these results could be replicated in other design spaces.
Conference on asbestos control and replacement for electric utilities: Proceedings
DOE Office of Scientific and Technical Information (OSTI.GOV)
Not Available
An EPRI conference on Asbestos Control and Replacement for Electric Utilities was held April 9, 1992 in conjunction with the National Asbestos Council`s Environmental Management 192 Conference and Exposition. The high cost and potential liabilities of asbestos removal projects, compounded by concerns over the health effects of asbestos replacement materials, was the main motivation for the conference. The objective of the conference was to assemble guidance and information that will help utilities manage asbestos and to effectively prioritize EPRI research in this area. Ten papers covered such topics as computer-aided asbestos management, utility experience with asbestos management, asbestos monitoring andmore » disposal, and asbestos replacement materials. Utility feedback received at the conference indicates that present and planned EPRI research activities in this area will effectively meet industry needs.« less
NASA Astrophysics Data System (ADS)
Vasant, Pandian; Barsoum, Nader
2008-10-01
Many engineering, science, information technology and management optimization problems can be considered as non linear programming real world problems where the all or some of the parameters and variables involved are uncertain in nature. These can only be quantified using intelligent computational techniques such as evolutionary computation and fuzzy logic. The main objective of this research paper is to solve non linear fuzzy optimization problem where the technological coefficient in the constraints involved are fuzzy numbers which was represented by logistic membership functions by using hybrid evolutionary optimization approach. To explore the applicability of the present study a numerical example is considered to determine the production planning for the decision variables and profit of the company.
NASA Technical Reports Server (NTRS)
Keymeulen, Didier; Ferguson, Michael I.; Fink, Wolfgang; Oks, Boris; Peay, Chris; Terrile, Richard; Cheng, Yen; Kim, Dennis; MacDonald, Eric; Foor, David
2005-01-01
We propose a tuning method for MEMS gyroscopes based on evolutionary computation to efficiently increase the sensitivity of MEMS gyroscopes through tuning. The tuning method was tested for the second generation JPL/Boeing Post-resonator MEMS gyroscope using the measurement of the frequency response of the MEMS device in open-loop operation. We also report on the development of a hardware platform for integrated tuning and closed loop operation of MEMS gyroscopes. The control of this device is implemented through a digital design on a Field Programmable Gate Array (FPGA). The hardware platform easily transitions to an embedded solution that allows for the miniaturization of the system to a single chip.
A set of biogenetically interesting polyhalogenated acetogenins from Ptilonia magellanica.
Gallardo, Amalia B; Cueto, Mercedes; Díaz-Marrero, Ana R; de la Rosa, José M; Fajardo, Victor; San-Martín, Aurelio; Darias, José
2018-01-01
Ptilonines A-F, pyranosylmagellanicus D-E and magellenediol are previously undescribed acetogenins isolated from the red alga Ptilonia magellanica. Their structures were determined from spectroscopic evidence. The absolute configuration of the known pyranosylmagellanicus A, was established by derivatization with (R)- and (S)-α-methoxy -α-phenylacetic acids (MPA). Ptilonines exhibit an unusual halogenation pattern, that may confer evolutionary advantages to Ptilonia magellanica, for which a biogenetic origin is proposed. The antimicrobial effect of some of these compounds was evaluated. Copyright © 2017 Elsevier Ltd. All rights reserved.
Aerodynamic Analyses Requiring Advanced Computers, part 2
NASA Technical Reports Server (NTRS)
1975-01-01
Papers given at the conference present the results of theoretical research on aerodynamic flow problems requiring the use of advanced computers. Topics discussed include two-dimensional configurations, three-dimensional configurations, transonic aircraft, and the space shuttle.
Proceedings of the 1977 MACSYMA users' conference (NASA)
NASA Technical Reports Server (NTRS)
1977-01-01
The MACSYMA program for symbolic and algebraic manipulation enables exact, symbolic mathematical computations to be performed on a computer. This program is rather large, and various approaches to the hardware and software problems are examined.
ERIC Educational Resources Information Center
Rivera, William M., Comp.; Walker, Sharon M., Comp.
Among the 46 papers in this proceedings are the following 36 selected titles: "The Intergenerational Exercise/Movement Program" (Ansello); "Using Computers for Adult Literacy Instruction" (Askov et al.); "Measuring Adults' Attitudes toward Computers" (Delcourt, Lewis); "Issues in Computers and Adult Learning" (Gerver); "Preassessment of Adult…
Proceedings from the conference on high speed computing: High speed computing and national security
DOE Office of Scientific and Technical Information (OSTI.GOV)
Hirons, K.P.; Vigil, M.; Carlson, R.
1997-07-01
This meeting covered the following topics: technologies/national needs/policies: past, present and future; information warfare; crisis management/massive data systems; risk assessment/vulnerabilities; Internet law/privacy and rights of society; challenges to effective ASCI programmatic use of 100 TFLOPs systems; and new computing technologies.
On-Line; Special Summer Issue on ICM 74.
ERIC Educational Resources Information Center
Zinn, Karl L., Ed.
1974-01-01
The proceedings of the 1974 Conference on Instructional Computing in Michigan comprise this special issue of the newsletter on educational use of computers among Michigan colleges and universities. Individual papers were presented on conceptual, technical, and practical aspects of instructional computing in (1) mathematics, (2) the physical and…
Systems Librarian and Automation Review.
ERIC Educational Resources Information Center
Schuyler, Michael
1992-01-01
Discusses software sharing on computer networks and the need for proper bandwidth; and describes the technology behind FidoNet, a computer network made up of electronic bulletin boards. Network features highlighted include front-end mailers, Zone Mail Hour, Nodelist, NetMail, EchoMail, computer conferences, tosser and scanner programs, and host…
ERIC Educational Resources Information Center
1984
This 63-paper collection represents a variety of interests and areas of expertise related to technology and its impact on the educational process at all levels. Topics include automated instructional management, computer literacy, software evaluation, beginning a computer program, finding software, networking, programming, and the computer and…
ERIC Educational Resources Information Center
Emery, James C., Ed.
A comprehensive review of the current status, prospects, and problems of computer networking in higher education is presented from the perspectives of both computer users and network suppliers. Several areas of computer use are considered including applications for instruction, research, and administration in colleges and universities. In the…
Evolution of Collective Behaviour in an Artificial World Using Linguistic Fuzzy Rule-Based Systems
Lebar Bajec, Iztok
2017-01-01
Collective behaviour is a fascinating and easily observable phenomenon, attractive to a wide range of researchers. In biology, computational models have been extensively used to investigate various properties of collective behaviour, such as: transfer of information across the group, benefits of grouping (defence against predation, foraging), group decision-making process, and group behaviour types. The question ‘why,’ however remains largely unanswered. Here the interest goes into which pressures led to the evolution of such behaviour, and evolutionary computational models have already been used to test various biological hypotheses. Most of these models use genetic algorithms to tune the parameters of previously presented non-evolutionary models, but very few attempt to evolve collective behaviour from scratch. Of these last, the successful attempts display clumping or swarming behaviour. Empirical evidence suggests that in fish schools there exist three classes of behaviour; swarming, milling and polarized. In this paper we present a novel, artificial life-like evolutionary model, where individual agents are governed by linguistic fuzzy rule-based systems, which is capable of evolving all three classes of behaviour. PMID:28045964
NASA Astrophysics Data System (ADS)
Dash, Rajashree
2017-11-01
Forecasting purchasing power of one currency with respect to another currency is always an interesting topic in the field of financial time series prediction. Despite the existence of several traditional and computational models for currency exchange rate forecasting, there is always a need for developing simpler and more efficient model, which will produce better prediction capability. In this paper, an evolutionary framework is proposed by using an improved shuffled frog leaping (ISFL) algorithm with a computationally efficient functional link artificial neural network (CEFLANN) for prediction of currency exchange rate. The model is validated by observing the monthly prediction measures obtained for three currency exchange data sets such as USD/CAD, USD/CHF, and USD/JPY accumulated within same period of time. The model performance is also compared with two other evolutionary learning techniques such as Shuffled frog leaping algorithm and Particle Swarm optimization algorithm. Practical analysis of results suggest that, the proposed model developed using the ISFL algorithm with CEFLANN network is a promising predictor model for currency exchange rate prediction compared to other models included in the study.
Evolution of Collective Behaviour in an Artificial World Using Linguistic Fuzzy Rule-Based Systems.
Demšar, Jure; Lebar Bajec, Iztok
2017-01-01
Collective behaviour is a fascinating and easily observable phenomenon, attractive to a wide range of researchers. In biology, computational models have been extensively used to investigate various properties of collective behaviour, such as: transfer of information across the group, benefits of grouping (defence against predation, foraging), group decision-making process, and group behaviour types. The question 'why,' however remains largely unanswered. Here the interest goes into which pressures led to the evolution of such behaviour, and evolutionary computational models have already been used to test various biological hypotheses. Most of these models use genetic algorithms to tune the parameters of previously presented non-evolutionary models, but very few attempt to evolve collective behaviour from scratch. Of these last, the successful attempts display clumping or swarming behaviour. Empirical evidence suggests that in fish schools there exist three classes of behaviour; swarming, milling and polarized. In this paper we present a novel, artificial life-like evolutionary model, where individual agents are governed by linguistic fuzzy rule-based systems, which is capable of evolving all three classes of behaviour.
Jaeger, Johannes; Crombach, Anton
2012-01-01
We propose an approach to evolutionary systems biology which is based on reverse engineering of gene regulatory networks and in silico evolutionary simulations. We infer regulatory parameters for gene networks by fitting computational models to quantitative expression data. This allows us to characterize the regulatory structure and dynamical repertoire of evolving gene regulatory networks with a reasonable amount of experimental and computational effort. We use the resulting network models to identify those regulatory interactions that are conserved, and those that have diverged between different species. Moreover, we use the models obtained by data fitting as starting points for simulations of evolutionary transitions between species. These simulations enable us to investigate whether such transitions are random, or whether they show stereotypical series of regulatory changes which depend on the structure and dynamical repertoire of an evolving network. Finally, we present a case study-the gap gene network in dipterans (flies, midges, and mosquitoes)-to illustrate the practical application of the proposed methodology, and to highlight the kind of biological insights that can be gained by this approach.
Wang, Xue; Wang, Sheng; Ma, Jun-Jie
2007-01-01
The effectiveness of wireless sensor networks (WSNs) depends on the coverage and target detection probability provided by dynamic deployment, which is usually supported by the virtual force (VF) algorithm. However, in the VF algorithm, the virtual force exerted by stationary sensor nodes will hinder the movement of mobile sensor nodes. Particle swarm optimization (PSO) is introduced as another dynamic deployment algorithm, but in this case the computation time required is the big bottleneck. This paper proposes a dynamic deployment algorithm which is named “virtual force directed co-evolutionary particle swarm optimization” (VFCPSO), since this algorithm combines the co-evolutionary particle swarm optimization (CPSO) with the VF algorithm, whereby the CPSO uses multiple swarms to optimize different components of the solution vectors for dynamic deployment cooperatively and the velocity of each particle is updated according to not only the historical local and global optimal solutions, but also the virtual forces of sensor nodes. Simulation results demonstrate that the proposed VFCPSO is competent for dynamic deployment in WSNs and has better performance with respect to computation time and effectiveness than the VF, PSO and VFPSO algorithms.
The tangled bank of amino acids
Pollock, David D.
2016-01-01
Abstract The use of amino acid substitution matrices to model protein evolution has yielded important insights into both the evolutionary process and the properties of specific protein families. In order to make these models tractable, standard substitution matrices represent the average results of the evolutionary process rather than the underlying molecular biophysics and population genetics, treating proteins as a set of independently evolving sites rather than as an integrated biomolecular entity. With advances in computing and the increasing availability of sequence data, we now have an opportunity to move beyond current substitution matrices to more interpretable mechanistic models with greater fidelity to the evolutionary process of mutation and selection and the holistic nature of the selective constraints. As part of this endeavour, we consider how epistatic interactions induce spatial and temporal rate heterogeneity, and demonstrate how these generally ignored factors can reconcile standard substitution rate matrices and the underlying biology, allowing us to better understand the meaning of these substitution rates. Using computational simulations of protein evolution, we can demonstrate the importance of both spatial and temporal heterogeneity in modelling protein evolution. PMID:27028523
Evolutionary Optimization of a Geometrically Refined Truss
NASA Technical Reports Server (NTRS)
Hull, P. V.; Tinker, M. L.; Dozier, G. V.
2007-01-01
Structural optimization is a field of research that has experienced noteworthy growth for many years. Researchers in this area have developed optimization tools to successfully design and model structures, typically minimizing mass while maintaining certain deflection and stress constraints. Numerous optimization studies have been performed to minimize mass, deflection, and stress on a benchmark cantilever truss problem. Predominantly traditional optimization theory is applied to this problem. The cross-sectional area of each member is optimized to minimize the aforementioned objectives. This Technical Publication (TP) presents a structural optimization technique that has been previously applied to compliant mechanism design. This technique demonstrates a method that combines topology optimization, geometric refinement, finite element analysis, and two forms of evolutionary computation: genetic algorithms and differential evolution to successfully optimize a benchmark structural optimization problem. A nontraditional solution to the benchmark problem is presented in this TP, specifically a geometrically refined topological solution. The design process begins with an alternate control mesh formulation, multilevel geometric smoothing operation, and an elastostatic structural analysis. The design process is wrapped in an evolutionary computing optimization toolset.
ERIC Educational Resources Information Center
National Association of Industrial Technology, Ypsilanti, MI.
Abstracts of the following 52 papers are included in this document: "Development of a Computer-Automated Mechanical Testing System" (Aman); "Bringing Industry High-Tech into the School Curriculum" (Andrews); "Fostering Excellence in Industrial Technology Faculty and Programs" (Bensen); "World Markets and…
ERIC Educational Resources Information Center
Presperin, Jessica J., Ed.
This proceedings document contains approximately 150 papers and 50 poster sessions presented at a conference on the advancement of rehabilitation and assistive technology. Individual sessions focused on the following topics: gerontology, robotics, technology transfer, sensory aids, computer applications, information dissemination, service delivery…
Current Trends in English Language Testing. Conference Proceedings for CTELT 1997 and 1998, Vol. 1.
ERIC Educational Resources Information Center
Coombe, Christine A., Ed.
Papers from the 1997 and 1998 Current Trends in English Language Testing (CTELT) conferences include: "Computer-Based Language Testing: The Call of the Internet" (G. Fulcher); "Uses of the PET (Preliminary English Test) at Sultan Qaboos University" (R. Taylor); "Issues in Foreign and Second Language Academic Listening…
ERIC Educational Resources Information Center
Middle Tennessee State Univ., Murfreesboro.
This proceedings of the sixth annual Mid-South Instructional Technology Conference contains the following papers: "They're Not Just Big Kids: Motivating Adult Learners" (Karen Jarrett Thoms); "A Computer Integrated Biology Laboratory Experience" (James B. Kring); "Building Web Sites for Mathematics Courses: Some Answers to…
ERIC Educational Resources Information Center
Association for Applied Interactive Multimedia, Columbia, SC.
This proceedings of the Association for Applied Interactive Multimedia 1993 conference includes the following papers: "Multimedia in Education and Training: 'Promises and Challenges'" (H. D. Ellis); "Critical Thinking in the Multimedia, Self-Paced English Classroom" (L. Mortensen); "Computer Assisted Instruction" (C.…
ERIC Educational Resources Information Center
International Academy for Information Management.
This document presents proceedings from the International Academy for Information Management (IAIM) annual conference, held December 6-10, 2000 in Brisbane, Australia. Papers include: "Metacognitive Miscalibration and Underachievement in a Computer Literacy Course: Some Preliminary Observations" (Deborah K. Smith, William Wittman, C. Bryan…
ERIC Educational Resources Information Center
Ambron, Sueann, Ed.; Hooper, Kristina, Ed.
1987-01-01
This collection of articles exploring multimedia in education was compiled from presentations at an invitational conference on Multimedia in Education. Following an introduction by Sueann Ambron ("New Visions of Reality: Multimedia and Education"), articles are grouped under six headings: (1) Computer Science and Engineering: "The…
ERIC Educational Resources Information Center
Journal of Chemical Education, 1985
1985-01-01
Provides highlights of lectures, workshops, papers, and symposia presented at a conference which addressed such areas of chemical education as college/high school chemistry teaching; curriculum/curriculum development; safety; two-year programs; computers; toxicology and health hazards; problem-solving; writing skills development; textbooks;…
ERIC Educational Resources Information Center
Simpson, Richard, Ed.
These proceedings of the annual RESNA (Association for the Advancement of Rehabilitation Technology) conference include more than 200 presentations on all facets of assistive technology, including concurrent sessions, scientific platform sessions, interactive poster presentations, computer demonstrations, and the research symposia. The scientific…
Using Student Conferences to Increase Participation in the Classroom: A Case Study
ERIC Educational Resources Information Center
Arenas, M. G.; Castillo, P. A.; de Vega, F. F.; Merelo, J. J.
2012-01-01
This paper describes the use of a student conference as a novel experience aimed at motivating students enrolled in various computer architecture courses, such as Microprocessor Systems. The goal was to increase student engagement, to decrease failure rates, and to introduce students to the world of research. This multidisciplinary experience…
ERIC Educational Resources Information Center
WIENTGE, KING M., ED.; AND OTHERS
PAPERS WERE PRESENTED AT A CONFERENCE ON CLASSROOM LEARNING ON SUCH TOPICS AS PROGRAM DESIGN, TESTING, AND OTHER EVALUATION TECHNIQUES, COMPUTER ASSISTED INSTRUCTION, PROGRAMED INSTRUCTION, SIMULATION, PACING, AND RETENTION. SEVERAL TREATED MILITARY TRAINING, ADULT LEARNING, AND ADULT-CENTERED CLASSROOM TECHNIQUES. IN ONE PAPER, THE SYSTEMS…
SiSeRHMap v1.0: a simulator for mapped seismic response using a hybrid model
NASA Astrophysics Data System (ADS)
Grelle, G.; Bonito, L.; Lampasi, A.; Revellino, P.; Guerriero, L.; Sappa, G.; Guadagno, F. M.
2015-06-01
SiSeRHMap is a computerized methodology capable of drawing up prediction maps of seismic response. It was realized on the basis of a hybrid model which combines different approaches and models in a new and non-conventional way. These approaches and models are organized in a code-architecture composed of five interdependent modules. A GIS (Geographic Information System) Cubic Model (GCM), which is a layered computational structure based on the concept of lithodynamic units and zones, aims at reproducing a parameterized layered subsoil model. A metamodeling process confers a hybrid nature to the methodology. In this process, the one-dimensional linear equivalent analysis produces acceleration response spectra of shear wave velocity-thickness profiles, defined as trainers, which are randomly selected in each zone. Subsequently, a numerical adaptive simulation model (Spectra) is optimized on the above trainer acceleration response spectra by means of a dedicated Evolutionary Algorithm (EA) and the Levenberg-Marquardt Algorithm (LMA) as the final optimizer. In the final step, the GCM Maps Executor module produces a serial map-set of a stratigraphic seismic response at different periods, grid-solving the calibrated Spectra model. In addition, the spectra topographic amplification is also computed by means of a numerical prediction model. This latter is built to match the results of the numerical simulations related to isolate reliefs using GIS topographic attributes. In this way, different sets of seismic response maps are developed, on which, also maps of seismic design response spectra are defined by means of an enveloping technique.
On the numerical treatment of selected oscillatory evolutionary problems
NASA Astrophysics Data System (ADS)
Cardone, Angelamaria; Conte, Dajana; D'Ambrosio, Raffaele; Paternoster, Beatrice
2017-07-01
We focus on evolutionary problems whose qualitative behaviour is known a-priori and exploited in order to provide efficient and accurate numerical schemes. For classical numerical methods, depending on constant coefficients, the required computational effort could be quite heavy, due to the necessary employ of very small stepsizes needed to accurately reproduce the qualitative behaviour of the solution. In these situations, it may be convenient to use special purpose formulae, i.e. non-polynomially fitted formulae on basis functions adapted to the problem (see [16, 17] and references therein). We show examples of special purpose strategies to solve two families of evolutionary problems exhibiting periodic solutions, i.e. partial differential equations and Volterra integral equations.
Human evolutionary genomics: ethical and interpretive issues.
Vitti, Joseph J; Cho, Mildred K; Tishkoff, Sarah A; Sabeti, Pardis C
2012-03-01
Genome-wide computational studies can now identify targets of natural selection. The unique information about humans these studies reveal, and the media attention they attract, indicate the need for caution and precision in communicating results. This need is exacerbated by ways in which evolutionary and genetic considerations have been misapplied to support discriminatory policies, by persistent misconceptions of these fields and by the social sensitivity surrounding discussions of racial ancestry. We discuss the foundations, accomplishments and future directions of human evolutionary genomics, attending to ways in which the interpretation of good science can go awry, and offer suggestions for researchers to prevent misapplication of their work. Copyright © 2011 Elsevier Ltd. All rights reserved.
Cornuet, Jean-Marie; Santos, Filipe; Beaumont, Mark A; Robert, Christian P; Marin, Jean-Michel; Balding, David J; Guillemaud, Thomas; Estoup, Arnaud
2008-12-01
Genetic data obtained on population samples convey information about their evolutionary history. Inference methods can extract part of this information but they require sophisticated statistical techniques that have been made available to the biologist community (through computer programs) only for simple and standard situations typically involving a small number of samples. We propose here a computer program (DIY ABC) for inference based on approximate Bayesian computation (ABC), in which scenarios can be customized by the user to fit many complex situations involving any number of populations and samples. Such scenarios involve any combination of population divergences, admixtures and population size changes. DIY ABC can be used to compare competing scenarios, estimate parameters for one or more scenarios and compute bias and precision measures for a given scenario and known values of parameters (the current version applies to unlinked microsatellite data). This article describes key methods used in the program and provides its main features. The analysis of one simulated and one real dataset, both with complex evolutionary scenarios, illustrates the main possibilities of DIY ABC. The software DIY ABC is freely available at http://www.montpellier.inra.fr/CBGP/diyabc.
Advances in systems biology: computational algorithms and applications.
Huang, Yufei; Zhao, Zhongming; Xu, Hua; Shyr, Yu; Zhang, Bing
2012-01-01
The 2012 International Conference on Intelligent Biology and Medicine (ICIBM 2012) was held on April 22-24, 2012 in Nashville, Tennessee, USA. The conference featured six technical sessions, one tutorial session, one workshop, and 3 keynote presentations that covered state-of-the-art research activities in genomics, systems biology, and intelligent computing. In addition to a major emphasis on the next generation sequencing (NGS)-driven informatics, ICIBM 2012 aligned significant interests in systems biology and its applications in medicine. We highlight in this editorial the selected papers from the meeting that address the developments of novel algorithms and applications in systems biology.
Trainor, Laurel J.
2015-01-01
Whether music was an evolutionary adaptation that conferred survival advantages or a cultural creation has generated much debate. Consistent with an evolutionary hypothesis, music is unique to humans, emerges early in development and is universal across societies. However, the adaptive benefit of music is far from obvious. Music is highly flexible, generative and changes rapidly over time, consistent with a cultural creation hypothesis. In this paper, it is proposed that much of musical pitch and timing structure adapted to preexisting features of auditory processing that evolved for auditory scene analysis (ASA). Thus, music may have emerged initially as a cultural creation made possible by preexisting adaptations for ASA. However, some aspects of music, such as its emotional and social power, may have subsequently proved beneficial for survival and led to adaptations that enhanced musical behaviour. Ontogenetic and phylogenetic evidence is considered in this regard. In particular, enhanced auditory–motor pathways in humans that enable movement entrainment to music and consequent increases in social cohesion, and pathways enabling music to affect reward centres in the brain should be investigated as possible musical adaptations. It is concluded that the origins of music are complex and probably involved exaptation, cultural creation and evolutionary adaptation. PMID:25646512
Intracellular metabolite profiling of Saccharomyces cerevisiae evolved under furfural.
Jung, Young Hoon; Kim, Sooah; Yang, Jungwoo; Seo, Jin-Ho; Kim, Kyoung Heon
2017-03-01
Furfural, one of the most common inhibitors in pre-treatment hydrolysates, reduces the cell growth and ethanol production of yeast. Evolutionary engineering has been used as a selection scheme to obtain yeast strains that exhibit furfural tolerance. However, the response of Saccharomyces cerevisiae to furfural at the metabolite level during evolution remains unknown. In this study, evolutionary engineering and metabolomic analyses were applied to determine the effects of furfural on yeasts and their metabolic response to continuous exposure to furfural. After 50 serial transfers of cultures in the presence of furfural, the evolved strains acquired the ability to stably manage its physiological status under the furfural stress. A total of 98 metabolites were identified, and their abundance profiles implied that yeast metabolism was globally regulated. Under the furfural stress, stress-protective molecules and cofactor-related mechanisms were mainly induced in the parental strain. However, during evolution under the furfural stress, S. cerevisiae underwent global metabolic allocations to quickly overcome the stress, particularly by maintaining higher levels of metabolites related to energy generation, cofactor regeneration and recovery from cellular damage. Mapping the mechanisms of furfural tolerance conferred by evolutionary engineering in the present study will be led to rational design of metabolically engineered yeasts. © 2016 The Authors. Microbial Biotechnology published by John Wiley & Sons Ltd and Society for Applied Microbiology.
Obesity: lessons from evolution and the environment.
Heitmann, B L; Westerterp, K R; Loos, R J F; Sørensen, T I A; O'Dea, K; McLean, P; Jensen, T K; Eisenmann, J; Speakman, J R; Simpson, S J; Reed, D R; Westerterp-Plantenga, M S
2012-10-01
The 9th Stock Conference acknowledged the complex background of genetic, cultural, environmental and evolutionary factors of obesity. Gene-environment interactions underlie the flexibility in body-weight and body-fat regulation, illustrated by the hunter-gatherers' feast and famine lifestyle, the variation in physical activity over the lifespan being highest at reproductive age, the variation in energy intake through 'eating in the absence of hunger', while running the risk of exceeding the capacity of triacylglyceride storage, leading to lipotoxicity and metabolic problems. Perinatal metabolic programming for obesity via epigenetic changes in response to a 'Western diet' results in production of lipid-poor milk and metabolically efficient pups, contributing to the perpetuation of obesity throughout generations. Evolutionary insight from comparative physiology and ecology indicates that over generations activity-induced energy expenditure has remained the same compared to wild mammals, that energy balance might be dependant on protein balance, while the function of taste changed from detection of poison or energy to social drinking and social behaviour. At present, the impact of assortative mating on obesity prevalence is unambiguously positive. The complexity that appeared can only be fully appreciated by setting the data into the context of our evolutionary history. © 2012 The Authors. obesity reviews © 2012 International Association for the Study of Obesity.
Classifying the evolutionary and ecological features of neoplasms.
Maley, Carlo C; Aktipis, Athena; Graham, Trevor A; Sottoriva, Andrea; Boddy, Amy M; Janiszewska, Michalina; Silva, Ariosto S; Gerlinger, Marco; Yuan, Yinyin; Pienta, Kenneth J; Anderson, Karen S; Gatenby, Robert; Swanton, Charles; Posada, David; Wu, Chung-I; Schiffman, Joshua D; Hwang, E Shelley; Polyak, Kornelia; Anderson, Alexander R A; Brown, Joel S; Greaves, Mel; Shibata, Darryl
2017-10-01
Neoplasms change over time through a process of cell-level evolution, driven by genetic and epigenetic alterations. However, the ecology of the microenvironment of a neoplastic cell determines which changes provide adaptive benefits. There is widespread recognition of the importance of these evolutionary and ecological processes in cancer, but to date, no system has been proposed for drawing clinically relevant distinctions between how different tumours are evolving. On the basis of a consensus conference of experts in the fields of cancer evolution and cancer ecology, we propose a framework for classifying tumours that is based on four relevant components. These are the diversity of neoplastic cells (intratumoural heterogeneity) and changes over time in that diversity, which make up an evolutionary index (Evo-index), as well as the hazards to neoplastic cell survival and the resources available to neoplastic cells, which make up an ecological index (Eco-index). We review evidence demonstrating the importance of each of these factors and describe multiple methods that can be used to measure them. Development of this classification system holds promise for enabling clinicians to personalize optimal interventions based on the evolvability of the patient's tumour. The Evo- and Eco-indices provide a common lexicon for communicating about how neoplasms change in response to interventions, with potential implications for clinical trials, personalized medicine and basic cancer research.
Trainor, Laurel J
2015-03-19
Whether music was an evolutionary adaptation that conferred survival advantages or a cultural creation has generated much debate. Consistent with an evolutionary hypothesis, music is unique to humans, emerges early in development and is universal across societies. However, the adaptive benefit of music is far from obvious. Music is highly flexible, generative and changes rapidly over time, consistent with a cultural creation hypothesis. In this paper, it is proposed that much of musical pitch and timing structure adapted to preexisting features of auditory processing that evolved for auditory scene analysis (ASA). Thus, music may have emerged initially as a cultural creation made possible by preexisting adaptations for ASA. However, some aspects of music, such as its emotional and social power, may have subsequently proved beneficial for survival and led to adaptations that enhanced musical behaviour. Ontogenetic and phylogenetic evidence is considered in this regard. In particular, enhanced auditory-motor pathways in humans that enable movement entrainment to music and consequent increases in social cohesion, and pathways enabling music to affect reward centres in the brain should be investigated as possible musical adaptations. It is concluded that the origins of music are complex and probably involved exaptation, cultural creation and evolutionary adaptation.