Zebrafish Larvae Exhibit Rheotaxis and Can Escape a Continuous Suction Source Using Their Lateral Line

Zebrafish larvae show a robust behavior called rheotaxis, whereby they use their lateral line system to orient upstream in the presence of a steady current. At 5 days post fertilization, rheotactic larvae can detect and initiate a swimming burst away from a continuous point-source of suction. Burst distance and velocity increase when fish initiate bursts closer to the suction source where flow velocity is higher. We suggest that either the magnitude of the burst reflects the initial flow stimulus, or fish may continually sense flow during the burst to determine where to stop. By removing specific neuromasts of the posterior lateral line along the body, we show how the location and number of flow sensors play a role in detecting a continuous suction source. We show that the burst response critically depends on the presence of neuromasts on the tail. Flow information relayed by neuromasts appears to be involved in the selection of appropriate behavioral responses. We hypothesize that caudally located neuromasts may be preferentially connected to fast swimming spinal motor networks while rostrally located neuromasts are connected to slow swimming motor networks at an early age

Participation in and Compliance with Public Voluntary Environmental Programs: An Evolutionary Approach

The joint evolution of participating and complying firms in a public VA, along with the evolution of the pollution stock is examined. Replicator dynamics modeling participation and compliance are combined with pollution stock dynamics. Fast-slow selection dynamics are used to capture the fact that decisions to participate in and further comply with the public VA evolve in different time scales. Evolutionary stable (ES) equilibria depend on the structure of the legislation and auditing probability. Partial participation and partial compliance can be ES equilibria, with possible multiplicities, in addition to the monomorphic equilibria of full (non) compliance. Convergence to these equilibria could be monotonic or oscillating. Full participation and compliance can be attained if the regulator is pre-committed to certain legislation and inspection probabilities, or by appropriate choices of the legislatively set emission level and the non-compliance fine

Proceedings of the 3rd Biennial Conference of the Society for Implementation Research Collaboration (SIRC) 2015: advancing efficient methodologies through community partnerships and team science

It is well documented that the majority of adults, children and families in need of evidence-based behavioral health interventionsi do not receive them [1, 2] and that few robust empirically supported methods for implementing evidence-based practices (EBPs) exist. The Society for Implementation Research Collaboration (SIRC) represents a burgeoning effort to advance the innovation and rigor of implementation research and is uniquely focused on bringing together researchers and stakeholders committed to evaluating the implementation of complex evidence-based behavioral health interventions. Through its diverse activities and membership, SIRC aims to foster the promise of implementation research to better serve the behavioral health needs of the population by identifying rigorous, relevant, and efficient strategies that successfully transfer scientific evidence to clinical knowledge for use in real world settings [3]. SIRC began as a National Institute of Mental Health (NIMH)-funded conference series in 2010 (previously titled the “Seattle Implementation Research Conference”; $150,000 USD for 3 conferences in 2011, 2013, and 2015) with the recognition that there were multiple researchers and stakeholdersi working in parallel on innovative implementation science projects in behavioral health, but that formal channels for communicating and collaborating with one another were relatively unavailable. There was a significant need for a forum within which implementation researchers and stakeholders could learn from one another, refine approaches to science and practice, and develop an implementation research agenda using common measures, methods, and research principles to improve both the frequency and quality with which behavioral health treatment implementation is evaluated. SIRC’s membership growth is a testament to this identified need with more than 1000 members from 2011 to the present.ii SIRC’s primary objectives are to: (1) foster communication and collaboration across diverse groups, including implementation researchers, intermediariesi, as well as community stakeholders (SIRC uses the term “EBP champions” for these groups) – and to do so across multiple career levels (e.g., students, early career faculty, established investigators); and (2) enhance and disseminate rigorous measures and methodologies for implementing EBPs and evaluating EBP implementation efforts. These objectives are well aligned with Glasgow and colleagues’ [4] five core tenets deemed critical for advancing implementation science: collaboration, efficiency and speed, rigor and relevance, improved capacity, and cumulative knowledge. SIRC advances these objectives and tenets through in-person conferences, which bring together multidisciplinary implementation researchers and those implementing evidence-based behavioral health interventions in the community to share their work and create professional connections and collaborations

Contents

Abstract: In order to bring a new point of view on dynamical studies of models of jet, a kinematic model of a meandering jet is analyzed in a fixed frame. Two different approaches are being developed to understand and quantify Lagrangian transport. They are both based on geometrical considerations, and have been tested through computations. The statistical quantities obtained can help discussing the links between studies of models of jet in a moving frame and in a fixed frame. Keywords: Dynamical systems, meandering jet, lobe dynamics, incoming/exit set, Gulf Stream

Laboratoire de l’Informatique du Parallélisme

evaluation of load distribution strategies for multiple loads on heterogeneous linear daisy chain networks

A new real-time RT-qPCR assay for the detection, subtyping and quantification of human respiratory syncytial viruses positive- and negative-sense RNAs

Human respiratory syncytial virus (RSV) is a major health problem and the main cause of hospitalization due to bronchiolitis. RSV is divided into two antigenic subgroups, RSV-A and -B that co-circulate worldwide. Rapid and sensitive detection is desirable for proper patient handling while assessment of viral load may help to evaluate disease severity and progression. Finally RSV subtyping is needed to determine the prevalence and pathogenicity of each RSV subgroup, as well as their sensitivity to treatment. In this study, we took into account the most recent circulating RSV variants and designed two quantitative TaqMan one-step RT-PCR assays to detect and quantify both RSV subgroups separately. Standard dilutions of transcripts of positive and negative polarities were included in the assay validation to assess potential differences in sensitivity on negative-sense genomes and positive-sense RNAs. In addition, RSV detection in respiratory specimens of different types and sampled in different populations was compared to commercially available RSV diagnostic tools. Altogether, the RSV-A and -B assays revealed sensitive and quantitative over a wide range of viral loads, with a slight improved sensitivity of the RSV-B assay on positive sense transcripts, and allowed accurate RSV subtyping. We thus provide a useful tool for both RSV diagnostics and research

Matthieu Gallet,

Scheduling communication requests traversing a switch: complexity and algorithm