675 research outputs found

    Methods for characterising microphysical processes in plasmas

    Get PDF
    Advanced spectral and statistical data analysis techniques have greatly contributed to shaping our understanding of microphysical processes in plasmas. We review some of the main techniques that allow for characterising fluctuation phenomena in geospace and in laboratory plasma observations. Special emphasis is given to the commonalities between different disciplines, which have witnessed the development of similar tools, often with differing terminologies. The review is phrased in terms of few important concepts: self-similarity, deviation from self-similarity (i.e. intermittency and coherent structures), wave-turbulence, and anomalous transport.Comment: Space Science Reviews (2013), in pres

    Studies of Bacterial Branching Growth using Reaction-Diffusion Models for Colonial Development

    Get PDF
    Various bacterial strains exhibit colonial branching patterns during growth on poor substrates. These patterns reflect bacterial cooperative self-organization and cybernetic processes of communication, regulation and control employed during colonial development. One method of modeling is the continuous, or coupled reaction-diffusion approach, in which continuous time evolution equations describe the bacterial density and the concentration of the relevant chemical fields. In the context of branching growth, this idea has been pursued by a number of groups. We present an additional model which includes a lubrication fluid excreted by the bacteria. We also add fields of chemotactic agents to the other models. We then present a critique of this whole enterprise with focus on the models' potential for revealing new biological features.Comment: 1 latex file, 40 gif/jpeg files (compressed into tar-gzip). Physica A, in pres

    Fractal analysis of vascular networks : insights from morphogenesis

    Get PDF
    Considering their extremely complicated and hierarchical structure, a long standing question in vascular physio-pathology is how to characterize blood vessels patterns, including which parameters to use. Another question is how to define a pertinent taxonomy, with applications to normal development and to diagnosis and/or staging of diseases. To address these issues, fractal analysis has been applied by previous investigators to a large variety of healthy or pathologic vascular networks whose fractal dimensions have been sought. A review of the results obtained on healthy vascular networks first shows that no consensus has emerged about whether normal networks must be considered as fractals or not. Based on a review of previous theoretical work on vascular morphogenesis, we argue that these divergences are the signature of a two-step morphogenesis process, where vascular networks form via progressive penetration of arterial and venous quasi-fractal arborescences into a pre-existing homogeneous capillary mesh. Adopting this perspective, we study the multi-scale behavior of generic patterns (model structures constructed as the superposition of homogeneous meshes and quasi-fractal trees) and of healthy intracortical networks in order to determine the artifactual and true components of their multi-scale behavior. We demonstrate that, at least in the brain, healthy vascular structures are a superposition of two components: at low scale, a mesh-like capillary component which becomes homogeneous and space-filling over a cut-off length of order of its characteristic length; at larger scale, quasi-fractal branched (tree-like) structures. Such complex structures are consistent with all previous studies on the multi-scale behavior of vascular structures at different scales, resolving the apparent contradiction about their fractal nature. Consequences regarding the way fractal analysis of vascular networks should be conducted to provide meaningful results are presented. Finally, consequences for vascular morphogenesis or hemodynamics are discussed, as well as implications in case of pathological conditions, such as cancer

    Modeling friction: From nanoscale to mesoscale

    Get PDF
    The physics of sliding friction is gaining impulse from nanoscale and mesoscale experiments, simulations, and theoretical modeling. This Colloquium reviews some recent developments in modeling and in atomistic simulation of friction, covering open-ended directions, unconventional nanofrictional systems, and unsolved problems.Comment: 26 pages, 14 figures, Rev. Mod. Phys. Colloquiu

    Investigation of end-stop motion constraint for a wave energy converter

    Get PDF
    This work develops a design protocol for wave energy converter motion constraint, endstop systems. It applies the protocol by first using a numerical hydrodynamic wave energy converter (WEC) model to obtain preliminary design loads. Following a definitive set of selection criteria, comprehensive design of a system of load-bearing, helical springs is produced. A preliminary design is modeled with finite element analysis, and compared to analytical results. New dynamical collision models are conceived for impact damping systems based on spring-mass and anisotropic surface friction phenomena, by applying the concept observed on the snake ventral skin. Friction and compressive forces are correlated by classical mechanics. Finally, dimensional analysis is applied to yield design parameterization to directly compare the micro and macro influences within these distinct models, resulting in new knowledge on the physical relationships within contact interfaces and a dimensionless mechanical impedance formulationEsta dissertação desenvolve um protocolo para projetos de sistemas de restrição de movimentos associado a um limitador de fim de curso em conversores de energia das ondas. Inicialmente, é aplicado um modelo numérico hidrodinâmico para análise de cargas em um conversor de energia das ondas (WEC). Em seguida, é apresentado um conjunto definitivo de critérios de seleção, para análise de um sistema de molas helicoidais compressivas, para atenuar as forças provocadas pelos movimentos extremos da boia. Um projeto preliminar é modelado com análises de elementos finitos e comparado com os resultados analíticos. Novos tipos de modelos dinâmicos são idealizados para amortecimento do impacto, baseados em molas e no fenômeno de atrito superficial anisotrópico, aplicando o conceito observado na pele ventral de cobras. As forças de atrito e compressivas foram correlacionadas por meio de princípios de mecânica clássica. Finalmente, uma análise adimensional é utilizada para gerar a parametrização do projeto, para comparar diretamente as micro e macro influências entre esses modelos distintos, resultando em novos conhecimentos sobre as relações físicas nas interfaces de contato e uma formulação adimensional de impedância mecânica

    Measurement of effective wetting area at hydrophobic solid–liquid interface

    Get PDF
    Hypotheses: The effective wetting area, a parameter somewhat different from the apparent contact area at solid–liquid interfaces, plays a significant role in surface wettability. However, determination of the effective wetting area for hydrophobic surfaces remains an open question. Therefore, in the present study, we developed an electrochemical impedance method to evaluate the effective wetting area at a hydrophobic solid–liquid interface. Experiments: Patterned Si surfaces were prepared using the anisotropic wet etching method, and the water contact angle and electrochemical impedance were measured experimentally. The effective wetting area at the solid–liquid interface was examined based on the wettability and impedance results. Findings: The electrochemical impedance for the patterned Si surfaces increased with increasing surface hydrophobicity, whereas the effective wetting area decreased. The intermediate wetting state (i.e. partial wetting model) was confirmed at the patterned Si surfaces, and the effective wetting area was theoretically estimated. The effective wetting area predicted from the electrochemical impedance agreed well with that predicted from the partial wetting model, thereby demonstrating the validity of the electrochemical impedance method for evaluating the effective wetting area at the hydrophobic solid–liquid interface

    Noninvasive Imaging Methods to Improve the Diagnosis of Oral Carcinoma and Its Precursors: State of the Art and Proposal of a Three-Step Diagnostic Process

    Get PDF
    Abstract: Oral squamous cell carcinoma (OSCC) is the most prevalent form of cancer of lips and oral cavity, and its diagnostic delay, caused by misdiagnosis at the early stages, is responsible for high mortality ratios. Biopsy and histopathological assessment are the gold standards for OSCC diagnosis, but they are time-consuming, invasive, and do not always enable the patient’s compliance, mainly in cases of follow-up with the need for more biopsies. The use of adjunctive noninvasive imaging techniques improves the diagnostic approach, making it faster and better accepted by patients. The present review aims to focus on the most consolidated diagnostic techniques, such as vital staining and tissue autofluorescence, and to report the potential role of some of the most promising innovative techniques, such as narrow-band imaging, high-frequency ultrasounds, optical coherence tomography, and in vivo confocal microscopy. According to their contribution to OSCC diagnosis, an ideal three-step diagnostic procedure is proposed, to make the diagnostic path faster, better, and more accurate

    Gas-grain simulation facility: Aerosol and particle research in microgravity

    Get PDF
    This document reports on the proceedings of the Gas-Grain Simulation Facility (GGSF) Science Workshop which was co-hosted by NASA Ames Research Center and Desert Research Institute, University of Nevada System, and held in Las Vegas, Nevada, on May 4-6, 1992. The intent of the workshop was to bring together the science community of potential GGSF experimenters, Science Working Group and staff members, and the Phase A contractor to review the Phase A design with the science participants and to facilitate communication between the science community and the hardware developers. The purpose of this report is to document the information disseminated at the workshop, to record the participants' review of the Phase A GGSF design concept and the current science and technical requirements for the Facility, and to respond to any questions or concerns that were raised at the Workshop. Recommendations for the future based on numerous discussions with the participants are documented, as well as science presentations and poster sessions that were given at the Workshop and a summary of 21 candidate experiments

    The influence of soil structure on microbial processes in microfluidic models

    Get PDF
    The way microbes behave in nature can vary widely depending on the spatial characteristics of the habitats they are located in. The spatial structure of the microbial environment can determine whether and to which extent processes such as organic matter degradation, and synergistic or antagonistic microbial processes occur. Investigating how the different spatial characteristics of microhabitats influence microbes has been challenging due to methodological limitations. In the case of soil sciences, attempts to describe the inner structure of the soil pore space, and to connect it to microbial processes, such as to determine the access of nutrient limited soil microorganisms to soil organic matter pools, has been one of the main goals of the field in the last years. The present work aimed at answering the question of how spatial complexity affects microbial dispersal, growth, and the degradation of a dissolved organic substrate. Using microfluidic devices, designed to mimic the inner soil pore physical structures, we first followed the dispersal and growth of soil microbes in the devices, using soil inocula or burying the microfluidic devices in the top layer of a soil (Paper I). We found that inter-kingdom interactions can play an important role for the dispersal of water-dwelling organisms and that these physically modified their environment. To reveal the effect of the different structures on microbes in more detail we tested the influence of increasing spatial complexity in a porespace on the growth and substrate degradation of bacterial and fungal laboratory strains. The parameters we used to manipulate the pore space’s complexity were two: via the turning angle and turning order of pore channels (Paper II), and via the fractal order of a pore maze (Paper III). When we tested the effect of an increase in turning angle sharpness on microbial growth, we found that as angles became sharper, bacterial and fungal growth decreased, but fungi were more affected than bacteria. We also found that their substrate degradation was only affected when bacteria and fungi grew together, being lower as the angles were sharper. Our next series of experiments, testing the effect of maze fractal complexity, however, showed a different picture. The increase in maze complexity reduced fungal growh, similar to the previous experiments, but increased bacterial growth and substrate consumption, at least until a certain depth into the mazes, contrary to our initial hypothesis. To increase the relevance of our studies, we performed experiments in both microfluidic device designs inoculated with a soil microbial extract and followed the substrate degradation patterns over time (Paper IV). We found that as complexity increased, both in terms of angle sharpness and fractal order, substrate consumption also increased. Our results, specially in mazes, might be caused by a reduced competition among bacterial communities and individuals in complex habitats, allowing co-existence of different metabolic strategies and the onset of bacterial biofilm formation leading to a higher degradation efficiency, but further studies are required to confirm this. Our results show that the spatial characteristic of microhabitats is an important factor providing microbes with conditions for a wide variety of ecological interactions that determine their growth and their organic matter turnover
    corecore