Training and inference efficiency of deep neural networks highly rely on the performance tensor operators hardware platforms. Manually optimizing has limitations in terms supporting new or Therefore, automatically device code configurations is getting increasingly attractive. However, current methods for operator optimization usually suffer from poor sample-efficiency due to combinatorial searc...

Background: Although the concept of family resilience has had increased popularity in recent studies, conceptual and methodological issues need to be addressed. Aim: The purpose of this paper is to analyze the current status of the concept of family resilience in research and to suggest future needed directions for research. Methods: The structure of the analysis derives from Rodgers’ evolution...

The author is most grateful to Gerry Rodgers for inviting him to take on this task. Acknowledgements are also due to him and Adriana Marshall for their criticisms and suggestions on an earlier version of this paper. During a short mission to Santiago the author benefited from interviews with PREALC's staff members whom he wishes to thank. Victor Tokman and Ricardo Infante were also very helpful...

Zachary Gerhart-Hines, Joseph T Rodgers, Olivia Bare, Carles Lerin, Seung-Hee Kim, Raul Mostoslavsky, Frederick W Alt, Zhidan Wu and Pere Puigserver* Dana-Farber Cancer Institute and Department of Cell Biology, Harvard Medical School, Boston, MA, USA, Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA, Novartis Institutes for Biomedical Research Inc., Ca...

in the present work, the effects of operating conditions including ph, transmembrane pressure, oil concentration, and temperature on fouling resistance and the rejection of turbidity for a polymeric membrane in an ultrafiltration system of wastewater treatment were studied. a new modeling technique called evolutionary polynomial regression (epr) was investigated. epr is a method based on regres...