149 research outputs found

    Wall Adhesion and Constitutive Modelling of Strong Colloidal Gels

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    Wall adhesion effects during batch sedimentation of strongly flocculated colloidal gels are commonly assumed to be negligible. In this study in-situ measurements of colloidal gel rheology and solids volume fraction distribution suggest the contrary, where significant wall adhesion effects are observed in a 110mm diameter settling column. We develop and validate a mathematical model for the equilibrium stress state in the presence of wall adhesion under both viscoplastic and viscoelastic constitutive models. These formulations highlight fundamental issues regarding the constitutive modeling of colloidal gels, specifically the relative utility and validity of viscoplastic and viscoelastic rheological models under arbitrary tensorial loadings. The developed model is validated against experimental data, which points toward a novel method to estimate the shear and compressive yield strength of strongly flocculated colloidal gels from a series of equilibrium solids volume fraction profiles over various column widths.Comment: 37 pages, 12 figures, submitted to Journal of Rheolog

    Identifying predictable foraging habitats for a wide-ranging marine predator using ensemble ecological niche models

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    Aim Ecological niche modelling can provide valuable insight into species' environmental preferences and aid the identification of key habitats for populations of conservation concern. Here, we integrate biologging, satellite remote-sensing and ensemble ecological niche models (EENMs) to identify predictable foraging habitats for a globally important population of the grey-headed albatross (GHA) Thalassarche chrysostoma. Location Bird Island, South Georgia; Southern Atlantic Ocean. Methods GPS and geolocation-immersion loggers were used to track at-sea movements and activity patterns of GHA over two breeding seasons (n = 55; brood-guard). Immersion frequency (landings per 10-min interval) was used to define foraging events. EENM combining Generalized Additive Models (GAM), MaxEnt, Random Forest (RF) and Boosted Regression Trees (BRT) identified the biophysical conditions characterizing the locations of foraging events, using time-matched oceanographic predictors (Sea Surface Temperature, SST; chlorophyll a, chl-a; thermal front frequency, TFreq; depth). Model performance was assessed through iterative cross-validation and extrapolative performance through cross-validation among years. Results Predictable foraging habitats identified by EENM spanned neritic ( 0.5 mg m−3) and frequent manifestation of mesoscale thermal fronts. Our results confirm previous indications that GHA exploit enhanced foraging opportunities associated with frontal systems and objectively identify the APFZ as a region of high foraging habitat suitability. Moreover, at the spatial and temporal scales investigated here, the performance of multi-model ensembles was superior to that of single-algorithm models, and cross-validation among years indicated reasonable extrapolative performance. Main conclusions EENM techniques are useful for integrating the predictions of several single-algorithm models, reducing potential bias and increasing confidence in predictions. Our analysis highlights the value of EENM for use with movement data in identifying at-sea habitats of wide-ranging marine predators, with clear implications for conservation and management

    Engaging Emergency Department Patients in the Creation of a Shared Decision-­Making Tool Regarding CT Scanning in Kidney Stones: Challenges to Traditional Stakeholder Engagement

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    Background: Every year approximately 2 million patients are seen in US EDs for suspected renal colic, and the majority receive CT scans. The objective of our study was to develop a stakeholder-informed conversation aid to help clinicians use SDM regarding CT scanning in patients with suspected renal colic. Methods: Using a published decision aid development framework, and under the direction of a multi-disciplinary Steering Committee, we engaged a diverse set of stakeholders via qualitative methods. EM clinicians, urologists, radiologists, researchers, and emergency department patients participated in focus groups and semi-structured interviews. All groups were recorded, transcribed, and analyzed in an iterative process by a four-person coding team. Emergent themes were identified and used to develop a decision aid which was iteratively refined. Results: A total of 8 interviews and 7 focus groups were conducted with 36 stakeholders (including local ED patients) The following three themes emerged: 1. Patient participants reported a desire to be involved in this decision and wanted more information regarding risks and benefits of CT scans. 2. Clinicians were comfortable diagnosing kidney stones without a CT scan, however, some felt that clinical uncertainty was a barrier to SDM. 3. All stakeholders identified strategies to facilitate this conversation such as check-lists and visual aids. Conclusion: Using stakeholder input, we developed a communication tool to facilitate an SDM conversation around the use of CT in suspected renal colic. Further testing will assess whether this tool can safely improve patient engagement and decrease low yield CT usage

    Basking sharks and oceanographic fronts: quantifying associations in the north-east Atlantic

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    Understanding the mechanisms linking oceanographic processes and marine vertebrate habitat use is critical to effective management of populations of conservation concern. The basking shark Cetorhinus maximus has been shown to associate with oceanographic fronts – physical interfaces at the transitions between water masses – to exploit foraging opportunities resulting from aggregation of zooplankton. However, the scale, significance and variability of these observed associations have not yet been established. Here, we quantify the influence of mesoscale (10s – 100s km) frontal activity on habitat use over timescales of weeks to months. We use animal-mounted archival tracking with composite front mapping via Earth Observation (EO) remote sensing to provide an oceanographic context to individual shark movements. We investigate levels of association with fronts occurring over two spatio-temporal scales, (i) broad-scale seasonally persistent frontal zones and (ii) contemporaneous mesoscale thermal and chl-a fronts. Using random walk simulations and logistic regression within an iterative generalised linear mixed modelling (GLMM) framework, we find that seasonal front frequency is a significant predictor of shark presence. Temporally-matched oceanographic metrics also indicate that sharks demonstrate a preference for productive regions, and associate with contemporaneous thermal and chl-a fronts more frequently than could be expected at random. Moreover, we highlight the importance of cross-frontal temperature change and persistence, which appear to interact to affect the degree of prey aggregation along thermal fronts. These insights have clear implications for understanding the preferred habitats of basking sharks in the context of anthropogenic threat management and marine spatial planning in the northeast Atlantic

    The Vehicle, Spring 1990

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    Table of Contents Poetry & Photos SpellsAmy Sparkspage 5 Rooting inAmy Sparkspage 6 Perfect NightDerrick Hoguepage 7 Virginia DareShane Taylorpage 8-9 Farmer\u27s Wife and DogShane Taylorpage 10 PovertyNancy Holschuhpage 11 A Strong ManBrad Johnsonpage 12-13 PhotoAiman Humaidehpage 13 Stupid Camp Song, Cartoon LifeEdward Schellpage 14 Into midnight, aloneDenise Santorpage 15 Love of the mindDenise Santorpage 16 Sweet LoveKaren Savagepage 17 Fantastic YellowKaren Savagepage 18 Tea-time in WisconsinTom Caldwellpage 19 PhotoTania Sanchezpage 20, 21 Any ThursdayTom Caldwellpage 22 WesteringTom Caldwellpage 23 Watch PocketAnthony Smithpage 24 Voluntary ResolveMatt Mansfieldpage 25-26 Essays A Return from FaithPeter J. Scalespage 27-28 Fiction Eye SieveTara L. Affolterpage 29-31 Persephone and the Worm Rancherpage 32-37 Authors Biographiespage 38-39https://thekeep.eiu.edu/vehicle/1055/thumbnail.jp

    Deletion of Irs2 reduces amyloid deposition and rescues behavioural deficits in APP transgenic mice

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    As impaired insulin signalling (IIS) is a risk factor for Alzheimer's disease we crossed mice (Tg2576) over-expressing human amyloid precursor protein (APP), with insulin receptor substrate 2 null (Irs2(-/-)) mice which develop insulin resistance. The resulting Tg2576/Irs2(-/-) animals had increased tau phosphorylation but a paradoxical amelioration of Abeta pathology. An increase of the Abeta binding protein transthyretin suggests that increased clearance of Abeta underlies the reduction in plaques. Increased tau phosphorylation correlated with reduced tau-phosphatase PP2A, despite an inhibition of the tau-kinase glycogen synthase kinase-3. Our findings demonstrate that disruption of IIS in Tg2576 mice has divergent effects on pathological processes-a reduction in aggregated Abeta but an increase in tau phosphorylation. However, as these effects are accompanied by improvement in behavioural deficits, our findings suggest a novel protective effect of disrupting IRS2 signalling in AD which may be a useful therapeutic strategy for this condition

    Resolving fluorescent species by their brightness and diffusion using correlated photon-counting histograms

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    Fluorescence fluctuation spectroscopy (FFS) refers to techniques that analyze fluctuations in the fluorescence emitted by fluorophores diffusing in a small volume and can be used to distinguish between populations of molecules that exhibit differences in brightness or diffusion. For example, fluorescence correlation spectroscopy (FCS) resolves species through their diffusion by analyzing correlations in the fluorescence over time; photon counting histograms (PCH) and related methods based on moment analysis resolve species through their brightness by analyzing fluctuations in the photon counts. Here we introduce correlated photon counting histograms (cPCH), which uses both types of information to simultaneously resolve fluorescent species by their brightness and diffusion. We define the cPCH distribution by the probability to detect both a particular number of photons at the current time and another number at a later time. FCS and moment analysis are special cases of the moments of the cPCH distribution, and PCH is obtained by summing over the photon counts in either channel. cPCH is inherently a dual channel technique, and the expressions we develop apply to the dual colour case. Using simulations, we demonstrate that two species differing in both their diffusion and brightness can be better resolved with cPCH than with either FCS or PCH. Further, we show that cPCH can be extended both to longer dwell times to improve the signal-to-noise and to the analysis of images. By better exploiting the information available in fluorescence fluctuation spectroscopy, cPCH will be an enabling methodology for quantitative biology

    An OBSL1-Cul7Fbxw8 Ubiquitin Ligase Signaling Mechanism Regulates Golgi Morphology and Dendrite Patterning

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    The elaboration of dendrites in neurons requires secretory trafficking through the Golgi apparatus, but the mechanisms that govern Golgi function in neuronal morphogenesis in the brain have remained largely unexplored. Here, we report that the E3 ubiquitin ligase Cul7Fbxw8 localizes to the Golgi complex in mammalian brain neurons. Inhibition of Cul7Fbxw8 by independent approaches including Fbxw8 knockdown reveals that Cul7Fbxw8 is selectively required for the growth and elaboration of dendrites but not axons in primary neurons and in the developing rat cerebellum in vivo. Inhibition of Cul7Fbxw8 also dramatically impairs the morphology of the Golgi complex, leading to deficient secretory trafficking in neurons. Using an immunoprecipitation/mass spectrometry screening approach, we also uncover the cytoskeletal adaptor protein OBSL1 as a critical regulator of Cul7Fbxw8 in Golgi morphogenesis and dendrite elaboration. OBSL1 forms a physical complex with the scaffold protein Cul7 and thereby localizes Cul7 at the Golgi apparatus. Accordingly, OBSL1 is required for the morphogenesis of the Golgi apparatus and the elaboration of dendrites. Finally, we identify the Golgi protein Grasp65 as a novel and physiologically relevant substrate of Cul7Fbxw8 in the control of Golgi and dendrite morphogenesis in neurons. Collectively, these findings define a novel OBSL1-regulated Cul7Fbxw8 ubiquitin signaling mechanism that orchestrates the morphogenesis of the Golgi apparatus and patterning of dendrites, with fundamental implications for our understanding of brain development
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