Narrow Results

This paper uses the task-content-of-occupations framework to analyze trends in employment and wages of female and male workers in the Indian labor market from 1994 to 2017. Workers are classified into four main occupational categories: nonroutine cognitive, routine cognitive, nonroutine manual, and routine manual. Decomposing the changes in employment shares into between-industry changes and within-industry changes across occupational categories reveals that within-industry employment changes have increasingly played an important role, suggesting the growing importance of using the task-content framework to analyze labor market trends. The biggest increase in employment shares is for nonroutine cognitive occupations for both female and male workers. The wage analysis reveals that, on average, the gender wage gap has been lowest in routine cognitive occupations for most of the period of analysis. However, the analysis finds no consistent, significant changes in wages based on occupational specialization during the period of analysis.

The primary goal of processor scheduling is to assign tasks in a parallel program to processors, so as to minimize the execution time. Most existing approaches to processor scheduling for multiprocessors assume that the execution time of each task is fixed and is independent of processor scheduling. In this paper, we argue that the execution time of a given task is not fixed but is critically dependent on the performance of the caches, which have become an essential component of shared-memory multiprocessors and propose a scheduling algorithm, called data distribution constrained scheduling algorithm. The proposed scheduling algorithm tries to maximize the number of cache hits by scheduling the processors so that the task that brings a memory block into the cache and the tasks that subsequently access the same memory block are executed on the same processor.

The paper includes a proposal of a new model of coherent concurrent tasks scheduling and a of resources assignment, that are characteristic for the problem of dependable system synthesis. Optimal tasks scheduling, partition at resources, allocation tasks and resources are basic problems in high-level synthesis of computer systems. Coherent synthesis may have a practical application in developing tools for computer aided rapid prototyping of such systems.

Background: Quality of reduction in distal radius fractures (DRF) is assessed using radiographic parameters, however few studies examine the association between radiographic measurements and functional outcomes. Our purpose was to evaluate the relationship between radiographic measurements and clinical outcome measures following surgery for DRF using detailed testing to demonstrate further associations between post-surgical radiographic measurements and function.

Methods: Measurements were performed on postoperative radiographs of 38 patients following ORIF of DRF. Measurements included: radial inclination, radial height, ulnar variance, volar tilt, radiocarpal interval (d2/w2), and the intra-articular step-off. Clinical outcome measures included motion, grip strength, functional dexterity testing, Moberg pick-up test, specific activities of daily living, DASH score, pain scale, manual-assessment questionnaire.

Results: Different radiographic parameters correlated with different specific tasks. The parameter correlated with most functional tasks was ulnar-variance. Radial inclination, radial-styloid scaphoid distance, and fracture classification correlated with some functions. Intraarticular step-off, and radial height were not associated with functional testing.

Conclusions: Surgical radiographic results may affect post-operative function. Detailed task specific testing may enable a better evaluation of surgical outcomes. Further study and refinement of functional assessment may change our surgical goals in DRF.