102,689 research outputs found
Communicating Chemical Congregation: A Molecular AND Logic Gate with Three Chemical Inputs as a �Lab-on-a-Molecule� Prototype
No full textPT: J; CR: ABBOTT EA, 1950, FLATLAND ROMANCE MAN AMENDOLA V, 2001, ACCOUNTS CHEM RES, V34, P488 BADJIC JD, 2004, SCIENCE, V303, P1845 BAG B, 2005, CHEM COMMUN 0128, P513 BALZANI V, 2003, MOL DEVICES MACHINES BHATTACHARYA S, 2003, CHEM COMMUN, P1158 BISSELL RA, 1992, J CHEM SOC P2, P1559 CALLAN JF, 2004, CHEM COMMUN, P2048 CHANG CJ, 2004, CHEM BIOL, V11, P203 DESILVA AP, 1993, NATURE, V364, P42 DESILVA AP, 1997, CHEM REV, V97, P1515 DESILVA AP, 1997, J AM CHEM SOC, V119, P7891 DESILVA AP, 1999, J AM CHEM SOC, V121, P1393 DESILVA AP, 2001, ELECT TRANSFER CHEM, V5, P156 DESILVA AP, 2001, MOL SWITCHES, P339 DESILVA AP, 2004, CHEM-EUR J, V10, P574 DESILVA SA, 2002, CHEM COMMUN, P1360 FABBRIZZI L, 1999, ACCOUNTS CHEM RES, V32, P846 FARINAS J, 1999, J BIOL CHEM, V274, P7603 GUNNLAUGSSON T, 2003, ORG BIOMOL CHEM, V1, P3265 GUNNLAUGSSON T, 2003, ORG LETT, V5, P4065 GUNNLAUGSSON T, 2004, TETRAHEDRON, V60, P11239 GUO XF, 2004, ADV MATER, V16, P125 HE HR, 2003, ANAL CHEM, V75, P549 HE HR, 2003, J AM CHEM SOC, V125, P1468 HERNANDEZ JV, 2004, SCIENCE, V306, P1532 HIRSCH ED, 2002, NEW DICT CULTURAL LI IZATT RM, 1976, J AM CHEM SOC, V98, P7626 IZATT RM, 1985, CHEM REV, V85, P271 KOSKELA SJM, 2004, CHEM COMMUN, P945 LANKSHEAR MD, 2006, CHEM COMMUN 0214, P612 LIM NC, 2004, CHEM COMMUN 0507, P1094 MARGULIES D, 2004, J AM CHEM SOC, V126, P15400 MARGULIES D, 2005, NAT MATER, V4, P768 MILLMAN J, 1988, MICROELECTRONICS NICOLL D, 2004, DIAGNOSTIC TESTS RAYMO FM, 2002, ADV MATER, V14, P401 SAUVAGE JP, 1998, ACCOUNTS CHEM RES, V31, P611 SMITH RM, 1974, CRITICAL STABILITY C STOJANOVIC MN, 2003, NAT BIOTECHNOL, V21, P1069 TSIEN RY, 1992, AM J PHYSIOL, V263, C723 TUSA JK, 2005, J MATER CHEM, V15, P2640 UCHIYAMA S, 2004, J AM CHEM SOC, V126, P3032 UCHIYAMA S, 2005, J AM CHEM SOC, V127, P8920 WANG HM, 2004, CHEM COMMUN 0321, P670 WISKUR SL, 2001, ACCOUNTS CHEM RES, V34, P963 WOODROOFE CC, 2003, J AM CHEM SOC, V125, P11458; NR: 47; TC: 10; J9: J AM CHEM SOC; PG: 2; GA: 034GNSource type: Electronic(1
Bibliographie Hilarion G. Petzold 1958 – 2009 mit Anhang als Einführung
No full textDieses Archiv enthält die Gesamtbibliographie der Werke des Autors nebst einiger Texte „Über H. G. Petzold“ im Schlussteil der Bibliographie sowie einen Anhang mit einer Einführung in die Architektur des Werkes in seinem wissenslogischen Aufbau als Ausarbeitung seines „Tree of Science Modells“ (2007).This archive contains the complete bibliography of the author and some texts about H. G. Petzold, moreover an epilogue with an introduction to the architecture of the works in its epistemological structure and composition and as an elaborations of Petzold’s „Tree of Science Modell (2007).https://www.fpi-publikation.de/polyloge/01-2009-petzold-h-g-gesamtbibliographie-h-g-petzold-1958-2009-updating-november2009/peerReviewedpublishedVersio
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Decentralized Bayesian reinforcement learning for online agent collaboration
No full textSolving complex but structured problems in a decentralized mannervia multiagent collaboration has received much attention in recentyears. This is natural, as on one hand, multiagent systems usuallypossess a structure that determines the allowable interactionsamong the agents; and on the other hand, the single most pressingneed in a cooperative multiagent system is to coordinate the localpolicies of autonomous agents with restricted capabilities to servea system-wide goal. The presence of uncertainty makes this evenmore challenging, as the agents face the additional need to learnthe unknown environment parameters while forming (and following)local policies in an online fashion. In this paper, we providethe first Bayesian reinforcement learning (BRL) approach for distributedcoordination and learning in a cooperative multiagent systemby devising two solutions to this type of problem. More specifically,we show how the Value of Perfect Information (VPI) can beused to perform efficient decentralised exploration in both modelbasedand model-free BRL, and in the latter case, provide a closedform solution for VPI, correcting a decade old result by Dearden,Friedman and Russell. To evaluate these solutions, we present experimentalresults comparing their relative merits, and demonstrateempirically that both solutions outperform an existing multiagentlearning method, representative of the state-of-the-art
Recommended from our members
3346: Samuel G. Freedman, author, 2013
No full textPhotograph of author Samuel G. Freedman, at NT Daily Slash meeting in the Mayborn School of Journalism at UNT
The Right to Strike under the United States Constitution: Theory, Practice, and Possible Implications for Canada
No full textAnswering critics of the Canadian Supreme Court's judgment in B.C. Health, the author argues that the Court laid the foundation for a principled and durable doctrine protecting constitutional labour rights, one that goes directly to the heart of the matter — the inequality of workers’ power in the employment relation. In the author’s view, two paths could lead from B.C. Health to the recognition of Charter protec- tion for a right to strike: one that treats the right as an accessory to col- lective bargaining, and one that upholds the right directly on the basis of the Charter values of equality and participation. The author supports the latter approach, contending that constitutional rights should be defined in relation to fundamental values, in a way that is not contingent on time-bound or fact-sensitive assessments about the role of strikes within a particular collective bargaining regime. Although a Charter right to strike may involve the courts in difficult choices about when to defer to legislative policy decisions, and courts may lack the institutional capac- ity to deal effectively with labour law issues, the author points out that judges can look to ILO standards for expert guidance. Noting that the U.S. experience in this area might be of considerable use to Canadians, the author concludes by providing an overview of American case law concerning a constitutional right to strike.Peer reviewe
Decentralized Bayesian reinforcement learning for online agent collaboration
No full textSolving complex but structured problems in a decentralized manner via multiagent collaboration has received much attention in recent years. This is natural, as on one hand, multiagent systems usually possess a structure that determines the allowable interactions among the agents; and on the other hand, the single most pressing need in a cooperative multiagent system is to coordinate the local policies of autonomous agents with restricted capabilities to serve a system-wide goal. The presence of uncertainty makes this even more challenging, as the agents face the additional need to learn the unknown environment parameters while forming (and following) local policies in an online fashion. In this paper, we provide the first Bayesian reinforcement learning (BRL) approach for distributed coordination and learning in a cooperative multiagent system by devising two solutions to this type of problem. More specifically, we show how the Value of Perfect Information (VPI) can be used to perform efficient decentralised exploration in both model-based and model-free BRL, and in the latter case, provide a closed form solution for VPI, correcting a decade old result by Dearden, Friedman and Russell. To evaluate these solutions, we present experimental results comparing their relative merits, and demonstrate empirically that both solutions outperform an existing multiagent learning method, representative of the state-of-the-art
Using phase type distributions for modelling HIV disease progression
No full textDisease progression models are useful tools for gaining a systems' understanding of the transitions to disease states, and characterizing the relationship between disease progress and factors affecting it such as patients' profile, treatment and the HIV diagnosis stage. Patients are classified into four states (based on CD4+ T-lymphocyte count) and all the transitions are allowed. Examinations to identify disease progression of the patient are carried out routinely throughout the follow-up period. Therefore, the times spent at the various HIV infection stages are interval censored or right censored. This makes difficult to use simple statistical methods such as regression to model the disease progression and its relationship with the diagnosis stage. We present a novel, more intuitive and realistic approach based on phase type distributions to model progression of HIV infection and the effects and prognostic significance of HIV diagnosis stage. The approach is illustrated using a real database of total 2,092 HIV infected patients enrolled in the Italian public structures from January 1996 to January 2008. The approach can also be used to examine the effect of other covariates such as patient's profile
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