Lottery Action, March 21-April 3, 2005, Vol. 12, no.6

Lottery Newsletter for Retailers

Lottery Action, April 4-17, 2005, Vol. 12, no. 7

Lottery Newsletter for retailers

Plans de restitution : Paris en 1380 / par H. Legrand,...

Collection : Histoire générale de Paris

Ordonnance de M. le Maître en la Maîtrise particulière des Eaux et forêts de Paris, qui ordonne l'exécution des ordonnances, arrêts, sentences et réglements intervenus concernant la communauté des maîtres oiseleurs de la ville de Paris et conformément à iceux, ordonne aux maîtres de ladite communauté de fournir... jusqu'à la concurrence de 400 oiseaux, aux syndic et adjoints d'icelle pour être par eux lâchés... lundi prochain 8 février présent mois, dans l'église de Notre-Dame de Paris... pour le Te Deum qui sera chanté... en action de grâce de l'heureuse délivrance et convalescence de notre auguste reine

[Acte. 1779-02-01. Paris]

Lottery Action, May 2-12, 2005, Vol. 12, no. 9

Iowa Lottery Authority Retailer Newsletter

Lottery Action, May 16-June 5, 2005, Vol. 12, no. 10

Iowa Lottery Authority Retailer Newsletter

Lottery Action, June 6-19 2005, Vol. 12, no. 11

Iowa Lottery Retailer Newsletter

Lottery Action, March 21-April 3, 2005, Vol 12, No. 6

Iowa Lottery Retailer Newsletter

Healthy Iowans 2010 Mid-Course Revision, July 2005

In the past century, public health has been credited with adding 25 years to life expectancy by contributing to the decline in illness and injury. Progress has been made, for example, in smoking reduction, infectious disease, and motor vehicle and workplace injuries. Besides its focus on traditional concerns such as clean water and safe food, public health is adapting to meet emerging health problems. Particular troublesome are health threats to youth: teenage pregnancies, violence, substance abuse, sexually transmitted diseases, and other conditions associated with high-risk behaviors. These threats add to burgeoning health care costs. A conservative estimate of $69 billion in medical spending could be averted through the impact of public health strategies aimed at heart disease, stroke, fatal and nonfatal occupational injuries, motor vehicle-related injuries, low birth weight, and violence. These strategies require the collaboration of many groups in the public and private sectors. Collaboration is the bedrock of public health and Healthy Iowans planning. At the core of Healthy Iowans 2000 and its successor, Healthy Iowans 2010, is the idea that all Iowans benefit when stakeholders decide on disease prevention and health promotion strategies and agree to work together on them. These strategies can improve the quality of life and hold down health care costs. The payoff for health promotion and disease prevention is not immediate, but it has long-lasting benefits. The Iowa plan is a companion to the national plan, Healthy People 2010. An initiative to improve the health of Americans, the national plan is the driving force for federal resource allocation for disease prevention and health promotion. The state plan is used in the same way. Both plans have received broad support from Republican and Democratic administrations. Community planners are using the state plan to help assess health needs and craft health improvement plans. Healthy Iowans 2010 was written at an unusual point in history – a new decade, a new century, a new millennium. The introduction was optimistic. “The 21st century,” it says, “promises to add life as well as years through improved health habits coupled with medical advances. Scientists have suggested that if these changes occur, the definition of adulthood will also change. An extraordinary number of people will live fuller, more active lives beyond that expected in the late 20th century.” At the same time, the country has spawned a new generation of health hazards. According to Dr. William Dietz of the Centers for Disease Control and Prevention (CDC), it has replaced “the diseases of deficiency with diseases of excess” (Newsweek, August 2, 1999). New threats, such as childhood overweight, can reverse progress made in the last century. This demands concerted action.

Affirmative Action in Iowa, September 2005

In accordance with 19B.5 of the Code of Iowa, the 2005 Affirmative Action in Iowa report illustrates the progress made during fiscal year 2005 to balance the State's worforce, the challenges that the State must address and the effort that the Department of Administratie Services must lead in order to remove barriers that limit the hiring, retention and advancement of females, minorities and persons with disabilities in the State's workforce. Highlighted in the report are four departments that initiated proactive and innovative measures to address their workplace equal opportunity, affirmative action and diversity programs. Additionally, the Department of Administrative Services-Human Resources Enterprise outlines its plan to build on its past efforts as well as pursue new initiatives to partner with advocacy groups and reach out to the commuity more directely to enhance employment opportunities for females, minorities and persons with disabilities in State of Iowa employment.

Goal recognition over POMDPs: inferring the intention of a POMDP agent

Plan recognition is the problem of inferring the goals and plans of an agent from partial observations of her behavior. Recently, it has been shown that the problem can be formulated and solved usingplanners, reducing plan recognition to plan generation.In this work, we extend this model-basedapproach to plan recognition to the POMDP setting, where actions are stochastic and states are partially observable. The task is to infer a probability distribution over the possible goals of an agent whose behavior results from a POMDP model. The POMDP model is shared between agent and observer except for the true goal of the agent that is hidden to the observer. The observations are action sequences O that may contain gaps as some or even most of the actions done by the agent may not be observed. We show that the posterior goal distribution P(GjO) can be computed from the value function VG(b) over beliefs b generated by the POMDPplanner for each possible goal G. Some extensionsof the basic framework are discussed, and a numberof experiments are reported.

Computing infinite plans for LTL goals using a classical planner

Classical planning has been notably successful in synthesizing finite plans to achieve states where propositional goals hold. In the last few years, classical planning has also been extended to incorporate temporally extended goals, expressed in temporal logics such as LTL, to impose restrictions on the state sequences generated by finite plans. In this work, we take the next step and consider the computation of infinite plans for achieving arbitrary LTL goals. We show that infinite plans can also be obtained efficiently by calling a classical planner once over a classical planning encoding that represents and extends the composition of the planningdomain and the B¨uchi automaton representingthe goal. This compilation scheme has been implemented and a number of experiments are reported.