Tamas Horvath – författare

Sleep Loss and Obesity: Intersecting Epidemics  represents a major contribution to the field of sleep medicine.  It is a comprehensive review of the neurobiology of sleep, circadian timing and obesity, the deleterious effects of sleep loss and obesity on health, and the worrisome associated social and medical costs in a range of patient populations and overall to society.  The number of individuals who are obese has reached alarming levels.  As a result, the incidence of Type 2 diabetes, cardiovascular disorders, heart disease, and kidney failure have also increased.  The surgeon general estimates that the total annual cost of obesity in the US is about $117 billion.  This cost is expected to escalate significantly because the number of overweight and obese children is increasing rapidly.  Indeed, the new generation is expected to have a shorter life-span then their parents.  In addition, sleep loss is emerging as an important contributing factor to obesity.  People who sleep less or are sleep deprived tend to eat more, especially carbohydrates, and have a higher body mass index. Increased weight restricts the upper airway, causing obstructive sleep apnea and further sleep loss.  In the end there is a vicious cycle of weight gain and sleep loss. In the past few years there has been a tremendous growth in our understanding of brain mechanisms controlling energy metabolism.  Interestingly the neurons regulating waking also regulate feeding.  There is also a mechanism that regulates the timing of feeding and sleep.  In shift-workers this system is likely to be disturbed, and this has an adverse impact on both feeding and sleep.  Sleep Loss and Obesity: Intersecting Epidemics is the first title to clearly examine how obesity and sleep loss are interacting epidemics. This fascinating title makes the link between energy metabolism, sleep and circadian timing; identifies poor sleep as arisk-factor for obesity in children and adults and offers treatment strategies for obstructive sleep apnea and obesity. This book will be a vital source of information for all physicians interested in sleep disorders and obesity. It will also be of value to neuroscientists, health system administrators, and policy makers.

Sleep Loss and Obesity: Intersecting Epidemics represents a major contribution to the field of sleep medicine.

The13thInternationalConferenceonInductive LogicProgramming(ILP 2003), organizedbytheDepartmentofInformaticsattheUniversityofSzeged,washeld between September 29 and October 1, 2003 in Szeged, Hungary. ILP 2003 was co-located with the Kalm' ar Workshop on Logic and Computer Science devoted to the workofL' aszl'oKalm' arandto recentresultsinlogicandcomputerscience. This volume contains all full papers presented at ILP 2003, together with the abstracts of the invited lectures by Ross D. King (University of Wales, Aber- twyth) and John W. Lloyd (Australian National University, Canberra). TheILP conferenceseries,startedin1991,wasoriginallydesignedto provide an international forum for the presentation and discussion of the latest research resultsinallareasoflearninglogicprograms.InrecentyearsthescopeofILPhas been broadened to cover theoretical, algorithmic, empirical, and applicational aspects of learning in non-propositional logic, multi-relational learning and data mining, and learning from structured and semi-structured data. The program committee received altogether 58 submissions in response to the call for papers, of which 5 were withdrawn by the authors themselves.Out of the remaining 53 submissions, the program committee selected 23 papers for full presentation at ILP 2003. High reviewing standards were applied for the selection of the papers. For the ?rst time, the "Machine Learning" journal awarded the best student papers. The awards were presented to Marta Arias for her theoretical paper withRoniKhardon:ComplexityParametersforFirst-OrderClasses,andtoKurt DriessensandThomasG.. artnerfortheirjointalgorithmicpaperwithJanRamon: Graph Kernels and Gaussian Processes for Relational Reinforcement Learning.