The work presents a comparative investigation of the performance of some of the well-known machine learning classifiers in the task of summarization. The objective of this paper is to evaluate the capability of classification algorithms in predicting summary sentences and compare its prediction performance against ten well-known machine learning models in the context of the DUC 2002 dataset. Cl...

Machine learning methods continue to show promise in the analysis of data from genetic association studies because of the high number of variables relative to the number of observations. However, few best practices exist for the application of these methods. We extend a recently proposed supervised machine learning approach for predicting disease risk by genotypes to be able to incorporate gene...

As the use of the Java language and virtual machines proliferates beyond the sphere of applets into the space of server programs, developers are requiring better performance, availability, and transactional and scalability features. This paper describes the work done for the Operating System/390 (OS/390) Java virtual machine to improve performance and serviceability, to introduce security and p...

Background: Healthcare workers’ work performance is an important issue affected by the clinical work environment and equipment. The present study aims to predict healthcare workers’ work performance based on safety-ergonomic features of hands and medical gloves. Materials and Methods: This cross-sectional study was conducted on healthcare workers at the hospitals of Shiraz University of Medica...

background: motivation is a driver to health worker performance in most ghanaian hospitals. in view of this, ghana’s ministry of health has rolled out enough motivational policies to accentuate work performance of health workers. objective: the focus of this study was to examine the impact of motivation and identify how intrinsic and extrinsic motivating factors affect the work performance of h...

successful application of a tbm in a project requires investigating both the ground conditions and the machine and backup system design features. prediction of the machine performance is very important as it has a big effect on the duration of the project and the costs. in this respect, both penetration rate and advance rate must be estimated. utilization factor, which depends on the type of op...

We introduce Callisto-RTS, a parallel runtime system designed for multi-socket shared-memory machines. It supports very fine-grained scheduling of parallel loops— down to batches of work of around 1K cycles. Finegrained scheduling helps avoid load imbalance while reducing the need for tuning workloads to particular machines or inputs. We use per-core iteration counts to distribute work initiall...