A decision-theoretic approach to reliable message delivery

We argue that the tools of decision theory need to be taken more seriously in the specification and analysis of systems. We illustrate this by considering a simple problem involving reliable communication, showing how considerations of utility and probability can be used to decide when it is worth sending heartbeat messages and, if they are sent, how often they should be sent.Comment: This is the full version of a paper that appears in the Proceedings of the 12th International Symposium on Distributed Computing, 1998, pp. 89-1

Great Expectations. Part I: On the Customizability of Generalized Expected Utility

We propose a generalization of expected utility that we call generalized EU (GEU), where a decision maker's beliefs are represented by plausibility measures, and the decision maker's tastes are represented by general (i.e.,not necessarily real-valued) utility functions. We show that every agent, ``rational'' or not, can be modeled as a GEU maximizer. We then show that we can customize GEU by selectively imposing just the constraints we want. In particular, we show how each of Savage's postulates corresponds to constraints on GEU.Comment: Preliminary version appears in Proc. 18th International Joint Conference on AI (IJCAI), 2003, pp. 291-29

Great Expectations. Part II: Generalized Expected Utility as a Universal Decision Rule

Many different rules for decision making have been introduced in the literature. We show that a notion of generalized expected utility proposed in Part I of this paper is a universal decision rule, in the sense that it can represent essentially all other decision rules.Comment: Preliminary version appears in Proc. 18th International Joint Conference on AI (IJCAI), 2003, pp. 297-30

Great Expectations. Part I: On the Customizability of Generalized Expected Utility

Many different rules for decision making have been introduced in the literature. We present a single framework in which to study and compare these rules. This is done by defining expected utility with respect to general expectation structures, where a decision maker's beliefs are represented by plausibility measures and the decision maker's tastes are represented by general (i.e., not necessarily real-valued) utility functions. We call the resulting notion of expected utility generalized EU (GEU) and show that we can represent arbitrary preference relations on acts using GEU. We then show that each of Savage's postulates corresponds to an axiom on GEU. Thus, GEU can be customized to capture postulates of interest.

On the NP-Completeness of Finding an Optimal Strategy in Games with Common Payoffs

Given a finite game with common payoffs (i.e. the players have completely common interests), we show that the problem of determining whether there exists a joint strategy where each player nets at least k is NP-complete.common payoff games, NP-completeness

Efficient search approaches for K-medoids-based algorithms

In this paper, the concept of previous medoid index is introduced. The utilization of memory for efficient medoid search is also presented. We propose a hybrid search approach for the problem of nearest neighbor search. The hybrid search approach combines the previous medoid index, the utilization of memory, the criterion of triangular inequality elimination and the partial distance search. The proposed hybrid search approach is applied to the k-medoids-based algorithms. Experimental results based on Gauss-Markov source, curve data set and elliptic clusters demonstrate that the proposed algorithm applied to the CLARANS algorithm may reduce the number of distance calculations from 88.4% to 95.2% with the same average distance per object compared with CLARANS. The proposed hybrid search approach can also be applied to nearest neighbor searching and the other clustering algorithms

Hadamard transform based Equal-average Equal-variance Equal-norm nearest neighbor codeword search algorithm

New York, US

Rocaglates induce gain-of-function alterations to eIF4A and eIF4F

Rocaglates are a diverse family of biologically active molecules that have gained tremendous interest in recent years due to their promising activities in pre-clinical cancer studies. As a result, this family of compounds has been significantly expanded through the development of efficient synthetic schemes. However, it is unknown whether all of the members of the rocaglate family act through similar mechanisms of action. Here, we present a comprehensive study comparing the biological activities of >200 rocaglates to better understand how the presence of different chemical entities influences their biological activities. Through this, we find that most rocaglates preferentially repress the translation of mRNAs containing purine-rich 5' leaders, but certain rocaglates lack this bias in translation repression. We also uncover an aspect of rocaglate mechanism of action in which the pool of translationally active eIF4F is diminished due to the sequestration of the complex onto RNA.P50 GM067041 - NIGMS NIH HHS; R24 GM111625 - NIGMS NIH HHS; R35 GM118173 - NIGMS NIH HHSPublished versio

Developing a Pipeline of African Global Surgery Scholars

Global surgery is developing as new discipline in many countries. Global surgery primarily aims to improve access to quality surgery in low-and-middle Income countries (LMICs). Thus, ensuring appropriate LMIC representation and leadership in global surgery research, projects, and innovations, is essential. There is a paucity of pathways for students and young clinicians in LMICs to attain training in and exposure to global surgery research and projects. If equity in global surgery leadership and scholarship is truly desired, steps need to be taken to ensure that more students and young clinicians in LMICs are exposed to global surgery as an academic discipline and are offered pathways to practice and leadership. This paper explores ways of ensuring this through increased exposure, increased training and increased funding