Chronic alcoholic myopathy and nutritional status

To investigate the prevalence of alcoholic myopathy and its relationship to the nutritional status, we performed a muscle biopsy on the vastum lateralis of 60 consecutive hospitalized alcoholic patients using a Tru-Cut needle, processing it for light microscope and ultrastructural analysis. The nutritional status was assessed by anthropometric measurements such as midarm circumference, triceps skinfold and midarm muscle area, and serum albumin. The hallmark of chronic alcoholic myopathy, fiber muscle atrophy, was present in 33% of the patients, necrosis scarcely being observed (1.5%). Ultrastructural alterations as lipid and glycogen accumulation or mitochondrial and myofibrillar alterations were nonspecific and observed in nearly all the cases where atrophy was present. Malnutrition was frequent in our patients: 39% and 34% showed a triceps skinfold and a midarm muscle area, respectively, under the fifth populational percentile. Patients with muscle fiber atrophy or ultrastructural changes showed a worse nutritional status, not only regarding muscle protein (assessed by midarm muscle area or creatininuria and explained by fiber atrophy), but also regarding fat stores assessed by triceps skinfold. Toxic effect of ethanol and malnutrition may act synergistically leading to chronic alcoholic myopathy.     

IPSS: A Hybrid Approach to Planning and Scheduling Integration

Recently, the areas of planning and scheduling in artificial intelligence (AI) have witnessed a big push toward their integration in order to solve complex problems. These problems require both reasoning on which actions are to be performed as well as their precedence constraints (planning) and the reasoning with respect to temporal constraints (e.g., duration, precedence, and deadline); those actions should satisfy the resources they use (scheduling). This paper describes IPSS (integrated planning and scheduling system), a domain independent solver that integrates an AI planner that synthesizes courses of actions with constraint-based techniques that reason based upon time and resources. IPSS is able to manage not only simple precedence constraints, but also more complex temporal requirements (as the Allen primitives) and multicapacity resource usage/consumption. The solver is evaluated against a set of problems characterized by the use of multiple agents (or multiple resources) that have to perform tasks with some temporal restrictions in the order of the tasks or some constraints in the availability of the resources. Experiments show how the integrated reasoning approach improves plan parallelism and gains better makespans than some state-of-the-art planners where multiple agents are represented as additional fluents in the problem operators. It also shows that IPSS is suitable for solving real domains (i.e., workflow problems) because it is able to impose temporal windows on the goals or set a maximum makespan, features that most of the planners do not yet incorporate