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Global burden of chronic respiratory diseases and risk factors, 1990-2019: an u...

Momtazmanesh, Sara; Moghaddam, Sahar Saeedi; Ghamari, Seyyed-Hadi; Rad, Elaheh Malakan; Rezaei, Negar; Shobeiri, Parnian; Aali, Amirali

Background Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019. Methods Using...


Global, regional, and national burden of diabetes from 1990 to 2021, with proje...

Ong, Kanyin Liane; Stafford, Lauryn K.; McLaughlin, Susan A.; Boyko, Edward J.; Vollset, Stein Emil; Smith, Amanda E.; Dalton, Bronte E.; Duprey, Joe

Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of ty...


Fifty Years of Prolog and Beyond

Koerner, Philipp; Leuschel, Michael; Barbosa, João; Santos Costa, Vitor; Dahl, Verónica; Hermenegildo, Manuel; Morales, José; Wielemaker, Jan

Both logic programming in general and Prolog in particular have a long and fascinating history, intermingled with that of many disciplines they inherited from or catalyzed. A large body of research has been gathered over the last 50 years, supported by many Prolog implementations. Many implementations are still actively developed, while new ones keep appearing. Often, the features added by different systems wer...


Quantum and Digital Annealing for the Quadratic Assignment Problem

Codognet, Philippe; Diaz, Daniel; Abreu, Salvador

The Quadratic Assignment Problem is a a classical constrained optimization problem used to model many real-life applications. We present experiments in solving the Quadratic Assignment Problem by means of Quantum Annealing and Quantum-inspired Annealing. We describe how to model this classical combinatorial problem in terms of QUBO (Quadratic Unconstrained Binary optimization) for implementing it on hardware so...


Weaving of Metaheuristics with Cooperative Parallelism

Lopez, Jheisson; Munera, Danny; Diaz, Daniel; Abreu, Salvador

We propose PHYSH (Parallel HYbridization for Simple Heuristics), a framework to ease the design and implementation of hybrid metaheuristics via cooperative parallelism. With this framework, the user only needs encode each of the desired metaheuristics and may rely on PHYSH for parallelization, cooperation and hybridization. PHYSH supports the combination of population-based and single-solution metaheuristics an...


On Integrating Population-Based Metaheuristics with Cooperative Parallelism

Lopez, Jheisson; Munera, Danny; Diaz, Daniel; Abreu, Salvador

Many real-life applications can be formulated as Combinatorial Optimization Problems, the solution of which is often challenging due to their intrinsic difficulty. At present, the most effective methods to address the hardest problems entail the hybridization of metaheuristics and cooperative parallelism. Recently, a framework called CPLS has been proposed, which eases the cooperative parallelization of local s...


Improving Constraint Solving on Parallel Hybrid Systems

Roque, Pedro; Pedro, Vasco; Diaz, Daniel; Abreu, Salvador

Recently, we developed the Parallel Heterogeneous Architecture Constraint Toolkit (PHACT), which is a multi-threaded constraint solver capable of using all the available devices which are compatible with OpenCL, in order to speed up the constraint satisfaction process. In this article, we introduce an evolution of PHACT which includes the ability to execute FlatZinc and MiniZinc models, as well as architectural...


Weaving of Metaheuristics with Cooperative Parallelism

Lopez, Jheisson; Munera, Danny; Diaz, Daniel; Abreu, Salvador

We propose PHYSH (Parallel HYbridization for Simple Heu-ristics), a framework to ease the design and implementation of hybridmetaheuristics via cooperative parallelism. With this framework, theuser only needs encode each of the desired metaheuristics and may relyon PHYSH for parallelization, cooperation and hybridization. PHYSHsupports the combination of population-based and single-solution meta-heuristics and ...


Improving Constraint Solving on Parallel Hybrid Systems

Roque, Pedro; Pedro, Vasco; Diaz, Daniel; Abreu, Salvador

Recently, we developed the Parallel Heterogeneous Architecture Constraint Toolkit (PHACT), which is a multi-threaded constraint solver capable of using all the available devices which are compatible with OpenCL, in order to speed up the constraint satisfaction process. In this article, we introduce an evolution of PHACT which includes the ability to execute FlatZinc and MiniZinc models, as well as architectural...


Parallel Local Search

Codognet, Philippe; Munera, Danny; Diaz, Daniel; Abreu, Salvador

Local search metaheuristics are a recognized means of solving hard com- binatorial problems. Over the last couple of decades, significant advances have been made in terms of the formalization, applicability and performance of these methods. Key to the performance aspect is the increased availability of parallel hardware, which turns out to be largely exploitable by this class of procedures. As real-life cases o...


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