Advancing Global Surgery: Moving Beyond Identifying Problems to Finding Solutions
نویسندگان
چکیده
منابع مشابه
Moving beyond global tobacco control to global disease control.
INTRODUCTION More than 60 years have now passed since epidemiological studies first linked tobacco smoking to lung cancer; the 50-year anniversaries of the 1962 Royal College of Physicians of London and 1964 US Surgeon General’s reports, which indicted smoking as causing lung cancer, are approaching. 2 While millions of people have since died prematurely from smoking, the policy and prevention ...
متن کاملFinding Robust Solutions to Dynamic Optimization Problems
Most research in evolutionary dynamic optimization is based on the assumption that the primary goal in solving Dynamic Optimization Problems (DOPs) is Tracking Moving Optimum (TMO). Yet, TMO is impractical in cases where keeping changing solutions in use is impossible. To solve DOPs more practically, a new formulation of DOPs was proposed recently, which is referred to as Robust Optimization Ov...
متن کاملFinding Optimal Solutions to Cooperative Pathfinding Problems
In cooperative pathfinding problems, non-interfering paths that bring each agent from its current state to its goal state must be planned for multiple agents. We present the first practical, admissible, and complete algorithm for solving problems of this kind. First, we propose a technique called operator decomposition, which can be used to reduce the branching factors of many search algorithms...
متن کاملEpilepsy stigma: Moving from a global problem to global solutions
Stigma and exclusion are common features of epilepsy in both the developed and developing countries and a major contributor to the burden associated with the condition. Reducing the stigma of epilepsy is key to reducing its impact and so improving quality of life. The social consequences of having epilepsy can be enormous, be it that they vary from country to country, based on cultural differen...
متن کاملAdvancing brain-machine interfaces: moving beyond linear state space models
Advances in recent years have dramatically improved output control by Brain-Machine Interfaces (BMIs). Such devices nevertheless remain robotic and limited in their movements compared to normal human motor performance. Most current BMIs rely on transforming recorded neural activity to a linear state space composed of a set number of fixed degrees of freedom. Here we consider a variety of ways i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: World Journal of Surgery
سال: 2017
ISSN: 0364-2313,1432-2323
DOI: 10.1007/s00268-017-4316-9