Eye-tracking while reading passives: An event structure account of difficulty

Among existing accounts of passivisation difficulty, some argue it depends on the predicate semantics (i.e. passives are more difficult with subject-experiencer than agent-patient verbs). Inconsistent with the accounts that predict passive difficulty, Paolazzi et al. (2019) found that passives were read faster than actives at the verb and object by-phrase in a series of self-paced reading experiments, with no modulation of verb type. However, self-paced reading provides limited direct measurement of late revision/interpretive processing. We used modified stimuli from Paolazzi et al. (2019) to re-examine this issue in two eye-tracking while reading experiments. We found that in late measures, passives with subject-experiencer verbs had longer fixation durations than actives at the verb and two subsequent regions but no difference was observed across agent-patient verbs. Subject-experiencer verbs provide a state, but the passive structure requires an event. Thus, the required eventive interpretation is coerced with subject-experiencers (if possible) and induces difficulty

Magnetic resonance imaging landmarks for preoperative localization of inferior medial genicular artery: a proof of concept analysis

The joint line is a useful landmark to identify IMGAcourse during knee surgery. The IMGA course is closerto the joint line and to the border of the medial tibialplateau in females than in males. Although the interindi-vidual variability these results should be taken into ac-count when performing all surgical procedures involvingthe medial aspect of the knee. Similar interindividualdistances were observed between IMGA and semimem-branosus tendon insertion regardless of gender. How-ever, the proximity to this tendon should be consideredespecially during specific cases of ligamentous balancingin TKA procedure

DROM: Enabling Efficient and Effortless Malleability for Resource Managers

In the design of future HPC systems, research in resource management is showing an increasing interest in a more dynamic control of the available resources. It has been proven that enabling the jobs to change the number of computing resources at run time, i.e. their malleability, can significantly improve HPC system performance. However, job schedulers and applications typically do not support malleability due to the common belief that it introduces additional programming complexity and performance impact. This paper presents DROM, an interface that provides efficient malleability with no effort for program developers. The running application is enabled to adapt the number of threads to the number of assigned computing resources in a completely transparent way to the user through the integration of DROM with standard programming models, such as OpenMP/OmpSs, and MPI. We designed the APIs to be easily used by any programming model, application and job scheduler or resource manager. Our experimental results from two realistic use cases analysis, based on malleability by reducing the number of cores a job is using per node and jobs co-allocation, show the potential of DROM for improving the performance of HPC systems. In particular, the workload of two MPI+OpenMP neuro-simulators are tested, reporting improvement in system metrics, such as total run time and average response time, up to 8% and 48%, respectively.This work is partially supported by the Span- ish Government through Programa Severo Ochoa (SEV-2015-0493), by the Spanish Ministry of Science and Technology through TIN2015-65316-P project, by the Generalitat de Catalunya (contract 2017-SGR-1414) and from the European Union’s Horizon 2020 under grant agreement No 785907 (HBP SGA2)Peer ReviewedPostprint (author's final draft

Stochastic microgeometry for displacement mapping

Proceedings of Shape Modeling International 2005, June 2005, pp. 164-173. Retrieved 3/16/2006 from http://www.cs.drexel.edu/~david/Papers/schroeder_SMI05.pdf.Creating surfaces with intricate small-scale features (microgeometry) and detail is an important task in geometric modeling and computer graphics. We present a model processing method capable of producing a wide variety of complex surface features based on displacement mapping and stochastic geometry. The latter is a branch of mathematics that analyzes and characterizes the statistical properties of spatial structures. The technique has been incorporated into an interactive modeling environment that supports the design of stochastic microgeometries. Additionally a tool has been developed that provides random exploration of the technique's entire parameter space by generating sample microgeometry over a broad range of values. We demonstrate the effectiveness of our technique by creating diverse, complex surface structures for a variety of geometric models, e.g. arrowheads, candy bars, busts, planets and coral

Irrigated rice sowing periods based on simulated grain yield.

This study aimed to establish the sowing periods with lower climatic risk for irrigated rice cultivation in the State of Rio Grande do Sul, Brazil, using the grain yield simulated by the SimulArroz which is an eco-physiological model based in processes that also simulates the development and the growth of the crop. The simulated grain yields were normalized for each of the four groups of cultivars, referenced as Relative Yield (YRel), considering the values of Reference Yield (YRef). The YRef considered was equal to the 80 percentile for the cultivars of groups 1 and 2 (Very short and Short cycle, respectively), and to the 90 percentile, for the cultivars of groups 3 and 4 (Medium and Long cycle, respectively). A successful year was when the YRel value was equal to or greater than 60% of YRef. These years were used to classify the climatic risk levels of 20% (80% success), 30% (70% success) and 40% (60% success). The preferential sowing periods for the four cultivar groups, at three levels of climatic risk, were established for all counties of the State of Rio Grande do Sul. The results indicated that the beginning of sowing occurs, depending on the group of cultivars, on September 1st or September 11th. On the other hand, the final sowing date varies with the group of cultivars and the level of risk involved, being December 20th the last sowing date for group 1 (Very short cycle). It is concluded that the SimulArroz model is appropriate to define the sowing periods of irrigated rice in Rio Grande do Sul considering grain yield, cycle of the cultivars and level of climatic risk