Rutgers University

About: Rutgers University is a education organization based out in New Brunswick, New Jersey, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 68736 authors who have published 159418 publications receiving 6713860 citations. The organization is also known as: Rutgers, The State University of New Jersey & Rutgers.

High-frequency plastid transformation in tobacco by selection for a chimeric aadA gene.

Abstract: We report here a 100-fold increased frequency of plastid transformation in tobacco by selection for a chimeric aadA gene encoding aminoglycoside 3"-adenylyltransferase, as compared with that obtained with mutant 16S rRNA genes. Expression of aadA confers resistance to spectinomycin and streptomycin. In transforming plasmid pZS197, a chimeric aadA is cloned between rbcL and open reading frame ORF512 plastid gene sequences. Selection was for spectinomycin resistance after biolistic delivery of pZS197 DNA into leaf cells. DNA gel-blot analysis confirmed incorporation of the chimeric aadA gene into the plastid genome by two homologous recombination events via the flanking plastid gene sequences. The chimeric gene became homoplasmic in the recipient cells and is uniformly transmitted to the maternal seed progeny. The ability to transform routinely plastids of land plants opens the way to manipulate the process of photosynthesis and to incorporate novel genes into the plastid genome of crops.

Promoting safe walking and cycling to improve public health: Lessons from The Netherlands and Germany

Abstract: Objectives. We examined the public health consequences of unsafe and inconvenient walking and bicycling conditions in American cities to suggest improvements based on successful policies in The Netherlands and Germany. Methods. Secondary data from national travel and crash surveys were used to compute fatality trends from 1975 to 2001 and fatality and injury rates for pedestrians and cyclists in The Netherlands, Germany, and the United States in 2000. Results. American pedestrians and cyclists were much more likely to be killed or injured than were Dutch and German pedestrians and cyclists, both on a per-trip and on a per-kilometer basis. Conclusions. A wide range of measures are available to improve the safety of walking and cycling in American cities, both to reduce fatalities and injuries and to encourage walking and cycling.

Update or Wait: How to Keep Your Data Fresh

Abstract: In this paper, we study how to optimally manage the freshness of information updates sent from a source node to a destination via a channel. A proper metric for data freshness at the destination is the age-of-information , or simply age , which is defined as how old the freshest received update is, since the moment that this update was generated at the source node (e.g., a sensor). A reasonable update policy is the zero-wait policy, i.e., the source node submits a fresh update once the previous update is delivered, which achieves the maximum throughput and the minimum delay. Surprisingly, this zero-wait policy does not always minimize the age. This counter-intuitive phenomenon motivates us to study how to optimally control information updates to keep the data fresh and to understand when the zero-wait policy is optimal. We introduce a general age penalty function to characterize the level of dissatisfaction on data staleness and formulate the average age penalty minimization problem as a constrained semi-Markov decision problem with an uncountable state space. We develop efficient algorithms to find the optimal update policy among all causal policies and establish sufficient and necessary conditions for the optimality of the zero-wait policy. Our investigation shows that the zero-wait policy is far from the optimum if: 1) the age penalty function grows quickly with respect to the age; 2) the packet transmission times over the channel are positively correlated over time; or 3) the packet transmission times are highly random (e.g., following a heavy-tail distribution).

When competition eclipses cooperation: an event history analysis of joint venture failure

Abstract: Why do so many joint ventures fail? Despite the fact that their success is the exception rather than the rule, the literature on why joint venture performance has been so poor remains fragmentary. We address this issue, adopting a transaction-cost economics perspective and modeling joint ventures as governance structures that blend the advantages and drawbacks of both markets and hierarchies. Using a data base on electronics industry ventures and event history analysis, we identify several predictors of joint venture failure and test for their influences. A key finding is that the presence of competition between joint venture partners outside of the agreement significantly impairs chances for the operation's chance of survival. We also find clear evidence that the failure rate of joint ventures is nonmonotonic, rising to a peak in the middle term and then declining. Finally, we compare and contrast predictors of terminations due to failure to those due to acquisition of the joint venture by one of its partners. Our overall conclusions highlight implications for strategic choice theory-building and the management of joint ventures.