Symbiotic Ocean Modeling Using Physics-Controlled Echo State Networks

We introduce a “symbiotic” ocean modeling strategy that leverages data-driven and machine learning methods to allow high- and low-resolution dynamical models to mutually benefit from each other. In this work we mainly focus on how a low-resolution model can be enhanced within a symbiotic model configuration. The broader aim is to enhance the representation of unresolved processes in low-resolution models, while simultaneously improving the efficiency of high-resolution models. To achieve this, we use a grid-switching approach together with hybrid modeling techniques that combine linear regression-based methods with nonlinear echo state networks. The approach is applied to both the Kuramoto–Sivashinsky equation and a single-layer quasi-geostrophic ocean model, and shown to simulate short-term and long-term behavior better than either purely data-based methods or low-resolution models. By maintaining key flow characteristics, the hybrid modeling techniques are also able to provide higher quality initial conditions for high-resolution models, thereby improving their efficiency.</p

Symbiotic Ocean Modeling Using Physics-Controlled Echo State Networks

We introduce a “symbiotic” ocean modeling strategy that leverages data-driven and machine learning methods to allow high- and low-resolution dynamical models to mutually benefit from each other. In this work we mainly focus on how a low-resolution model can be enhanced within a symbiotic model configuration. The broader aim is to enhance the representation of unresolved processes in low-resolution models, while simultaneously improving the efficiency of high-resolution models. To achieve this, we use a grid-switching approach together with hybrid modeling techniques that combine linear regression-based methods with nonlinear echo state networks. The approach is applied to both the Kuramoto–Sivashinsky equation and a single-layer quasi-geostrophic ocean model, and shown to simulate short-term and long-term behavior better than either purely data-based methods or low-resolution models. By maintaining key flow characteristics, the hybrid modeling techniques are also able to provide higher quality initial conditions for high-resolution models, thereby improving their efficiency.</p

Recommendations for a practical implementation of circulating tumor DNA mutation testing in metastatic non-small-cell lung cancer

BACKGROUND: Liquid biopsy (LB) is a rapidly evolving diagnostic tool for precision oncology that has recently found its way into routine practice as an adjunct to tissue biopsy (TB). The concept of LB refers to any tumor-derived material, such as circulating tumor DNA (ctDNA) or circulating tumor cells that are detectable in blood. An LB is not limited to the blood and may include other fluids such as cerebrospinal fluid, pleural effusion, and urine, among others. PATIENTS AND METHODS: The objective of this paper, devised by international experts from various disciplines, is to review current challenges as well as state-of-the-art applications of ctDNA mutation testing in metastatic non-small-cell lung cancer (NSCLC). We consider pragmatic scenarios for the use of ctDNA from blood plasma to identify actionable targets for therapy selection in NSCLCs. RESULTS: Clinical scenarios where ctDNA mutation testing may be implemented in clinical practice include complementary tissue and LB testing to provide the full picture of patients’ actual predictive profiles to identify resistance mechanism (i.e. secondary mutations), and ctDNA mutation testing to assist when a patient has a discordant clinical history and is suspected of showing intertumor or intratumor heterogeneity. ctDNA mutation testing may provide interesting insights into possible targets that may have been missed on the TB. Complementary ctDNA LB testing also provides an option if the tumor location is hard to biopsy or if an insufficient sample was taken. These clinical use cases highlight practical scenarios where ctDNA LB may be considered as a complementary tool to TB analysis. CONCLUSIONS: Proper implementation of ctDNA LB testing in routine clinical practice is envisioned in the near future. As the clinical evidence of utility expands, the use of LB alongside tissue sample analysis may occur in the patient cases detailed here

UvA-DARE (Digital Academic Repository) Task Migration for S-Net/LPEL FD-COMA 2013 2nd HiPEAC Workshop on Feedback-Directed Compiler Optimization for Multicore Architectures Task Migration for S-Net/LPEL

Abstract We propose an extension to S-NET&apos;s light-weight parallel execution layer (LPEL): dynamic migration of tasks between cores for improved load balancing and higher throughput of S-NET streaming networks. We sketch out the necessary implementation steps and empirically analyse the impact of task migration on a variety of S-NET applications

A systematic review of the effects of bone-borne surgical assisted rapid maxillary expansion

INTRODUCTION: A systematic literature review was conducted to find out if bone-borne maxillary expansion with corticotomies is an effective and secure orthodontic/orthopaedic treatment modality, eliminating orthodontic and periodontal side effects of tooth-borne maxillary expansion with corticotomies. MATERIAL AND METHODS: Randomized controlled trials (RCT), controlled clinical trials (CCT) and case series with a sample size &gt;or=5 were electronically searched in PubMED, MEDLINE, EMBASE Excerpta Medica, CINAHL, Biological Abstracts and CENTRAL till June 2008. Data were extracted by 2 observers. RESULTS: Ten studies fulfilled the inclusion criteria, of which 9 were prospective and 1 was a retrospective case series. CONCLUSION: No RCT's or CCT's were published on bone-borne surgically assisted rapid maxillary expansion (SARME). For expected advantages compared to tooth-borne SARME, only weak evidence was found for less buccal tipping of the teeth used as anchor teeth in tooth-borne expansion. The heterogeneity of the retrieved publications and the wide variety of outcome variables posed serious restrictions on the review of the literature in a quantitative systematic manner. There is a need for well designed clinical trials research on the effects of tooth-borne and bone-borne SARME