European American Therapist Self-Disclosure in Cross-Cultural Counseling

Eleven European American psychotherapists\u27 use of self-disclosure in cross-cultural counseling was studied using consensual qualitative research. As reasons for self-disclosing, therapists reported the intent to enhance the counseling relationship, acknowledge the role of racism/oppression in clients\u27 lives, and acknowledge their own racist/oppressive attitudes. Results indicated that therapists typically shared their reactions to clients\u27 experiences of racism or oppression and that these self-disclosures typically had positive effects in therapy, often improving the counseling relationship by helping clients feel understood and enabling clients to advance to other important issues

New Methods for the Optical Detection of Trace Compounds and the Delivery of a Chemical Oxidant

Biogenic amines are known indicators of spoilage in food. Indole in particular is a chemical used extensively to indicate seafood freshness. Levels higher than 25 μg [micrograms]/100 g shrimp mark early decomposition, according to the US Food and Drug Administration. We developed an optical probe based on an Ehrlich-type reaction to detect indole in shrimp. The probe is based on the reaction of p-dimethylaminobenzaldhyde (DMAB) with indole, generating red β[beta]-bis(indolyl)methane (BIM). Color development is observed by the naked eye after exposure to indole. When using UV-Visible spectroscopy as a detection method, the limits of detection and quantification are of 0.05 and 0.16 μg mL-1 [per milliliter], respectively. These limits lead to quantification of less than 25 μg [micrograms] indole/100 g shrimp, when recovery is accounted for. Moreover, an inexpensive handheld colorimeter can be used to perform optical measurements of indole by the probe with similar sensitivity. In addition, studies to confirm the structure of BIM were conducted. The β-position of two indole molecules is involved in the reaction with one DMAB molecule, yielding the product β[beta]-bis(indolyl)methane (BIM).Determination of amines in aviation fuels is of interest as these species reduce fuel stability when present in higher concentrations. Since anilines and indoles are species of major presence in fuels, we have explored their simultaneous determination by the probe using a chemometric calibration with Classical Least Squares and Principal Component Regression.In-situ chemical oxidation (ISCO) is an approach for remediation of polluted groundwater by the release of oxidants directly into the contaminated zone. We have developed a system for the controlled release of potassium persulfate from pellets of diatomaceous earth for the oxidation of organic contaminants, obtaining a continuous delivery for up to 21 h. In addition, this approach was used to release Fe2+ [iron two plus] ions for in-situ activation of persulfate. Controlled-released persulfate and Fe2+ ions from the pellets have been used for batch treatment of 15 mg L-1 [per liter] trichloroethylene (TCE) aqueous solution, giving residual TCE concentration of \u3c [less than] 0.06 mg L-1 after 6 h and degradation of 93% TCE after 2 h

On-line list colouring of random graphs

In this paper, the on-line list colouring of binomial random graphs G(n,p) is studied. We show that the on-line choice number of G(n,p) is asymptotically almost surely asymptotic to the chromatic number of G(n,p), provided that the average degree d=p(n-1) tends to infinity faster than (log log n)^1/3(log n)^2n^(2/3). For sparser graphs, we are slightly less successful; we show that if d>(log n)^(2+epsilon) for some epsilon>0, then the on-line choice number is larger than the chromatic number by at most a multiplicative factor of C, where C in [2,4], depending on the range of d. Also, for d=O(1), the on-line choice number is by at most a multiplicative constant factor larger than the chromatic number

Density of States of Quantum Spin Systems from Isotropic Entanglement

We propose a method which we call "Isotropic Entanglement" (IE), that predicts the eigenvalue distribution of quantum many body (spin) systems (QMBS) with generic interactions. We interpolate between two known approximations by matching fourth moments. Though, such problems can be QMA-complete, our examples show that IE provides an accurate picture of the spectra well beyond what one expects from the first four moments alone. We further show that the interpolation is universal, i.e., independent of the choice of local terms.Comment: 4+ pages, content is as in the published versio

NeMO-Net The Neural Multi-Modal Observation & Training Network for Global Coral Reef Assessment

We present NeMO-Net, the Srst open-source deep convolutional neural network (CNN) and interactive learning and training software aimed at assessing the present and past dynamics of coral reef ecosystems through habitat mapping into 10 biological and physical classes. Shallow marine systems, particularly coral reefs, are under significant pressures due to climate change, ocean acidification, and other anthropogenic pressures, leading to rapid, often devastating changes, in these fragile and diverse ecosystems. Historically, remote sensing of shallow marine habitats has been limited to meter-scale imagery due to the optical effects of ocean wave distortion, refraction, and optical attenuation. NeMO-Net combines 3D cm-scale distortion-free imagery captured using NASA FluidCam and Fluid lensing remote sensing technology with low resolution airborne and spaceborne datasets of varying spatial resolutions, spectral spaces, calibrations, and temporal cadence in a supercomputer-based machine learning framework. NeMO-Net augments and improves the benthic habitat classification accuracy of low-resolution datasets across large geographic ad temporal scales using high-resolution training data from FluidCam.NeMO-Net uses fully convolutional networks based upon ResNet and ReSneNet to perform semantic segmentation of remote sensing imagery of shallow marine systems captured by drones, aircraft, and satellites, including WorldView and Sentinel. Deep Laplacian Pyramid Super-Resolution Networks (LapSRN) alongside Domain Adversarial Neural Networks (DANNs) are used to reconstruct high resolution information from low resolution imagery, and to recognize domain-invariant features across datasets from multiple platforms to achieve high classification accuracies, overcoming inter-sensor spatial, spectral and temporal variations.Finally, we share our online active learning and citizen science platform, which allows users to provide interactive training data for NeMO-Net in 2D and 3D, integrated within a deep learning framework. We present results from the PaciSc Islands including Fiji, Guam and Peros Banhos 1 1 2 1 3 1 where 24-class classification accuracy exceeds 91%

TPL-2 restricts Ccl24-dependent immunity to Heligmosomoides polygyrus

Funding: This work was supported by the Francis Crick Institute which receives its core funding from Cancer Research UK (FC001220), the UK Medical Research Council (FC001220), and the Wellcome Trust (FC001200). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Acknowledgments We are indebted to The Francis Crick Institute Flow Cytometry facility, and in particular Bhavik Patel, Graham Preece, Wayne Turnbull and Phil Hobson. We would also like to thank The Francis Crick Institute Procedural Service Section for production of GA lines and Biological Services, especially Trisha Norton, Keith Williams and Adebambo Adekoya for animal husbandry and technical support; to Riccardo Guidi for constructive discussions and technical assistance. We would like to thank Gitta Stockinger and AhR Immunity Laboratory for providing technical support and reagents throughout this study. We also thank Richard Rance and the Wellcome Trust Sanger Institute’s 454 pyrosequencing team for generating 16S rRNA gene data.Peer reviewedPublisher PD

PyFolding: An open-source software package for graphing, simulation and analysis of the biophysical properties of proteins

For many years, curve fitting software has been heavily utilized to fit simple models to various types of biophysical data. Although such software packages are easy to use for simple functions, they are often expensive and present substantial impediments to applying more complex models or for the analysis of large datasets. One field that is relient on such data analysis is the thermodynamics and kinetics of protein folding. Over the past decade, increasingly sophisticated analytical models have been generated, but without simple tools to enable routine analysis. Consequently, users have needed to generate their own tools or otherwise find willing collaborators. Here we present PyFolding, a free, open source, and extensible Python framework for graphing, analysis and simulation of the biophysical properties of proteins. To demonstrate the utility of PyFolding, we have used it to analyze and model experimental protein folding and thermodynamic data. Examples include: (i) multi-phase kinetic folding fitted to linked equations, (ii) global fitting of multiple datasets and (iii) analysis of repeat protein thermodynamics with Ising model variants. Moreover, we demonstrate how Pyfolding is easily extensible to novel functionality beyond applications in protein folding via the addition of new models. Example scripts to perform these and other operations are supplied with the software, and we encourage users to contribute notebooks and models to create a community resource. Finally, we show that PyFolding can be used in conjunction with Jupyter notebooks as an easy way to share methods and analysis for publication and amongst research teams.L.S.I. acknowledges the support of a Senior Fellowship from the UK Medical Research Foundation. A.P.-R. was supported by a Biotechnology and Biological Sciences Research Council Doctoral Training Programme scholarship and an Oliver Gatty Studentship. E.R.G.M. and L.S.I. laboratories acknowledge support from a Leverhulme Trust project grant

Photoperiod-sensitivity genes (Ppd-1) : quantifying their effect on the photoperiod response model in wheat

Coupling anthesis date to the most suitable environmental conditions is critical for wheat (Triticum aestivum L.) adaptation and yield potential. Development to anthesis is controlled by temperature and photoperiod. Response to photoperiod is chiefly modulated by Ppd-1 genes, but their effect on the quantitative response to photoperiod of (i) time to anthesis and (ii) pre-anthesis phases remains largely unknown. A photoperiod-sensitive spring cultivar, Paragon, and near-isogenic lines of it carrying different combinations of Ppd-1a insensitivity alleles were tested under a wide range of photoperiods, including switches in photoperiod at the onset of stem elongation. Using multimodel inference we found that Ppd-1a alleles reduced photoperiod sensitivity of (i) emergence to anthesis and (ii) emergence to onset of stem elongation, both in a less than additive manner, while threshold photoperiod and intrinsic earliness were unaffected. Sensitivity to current photoperiod from onset of stem elongation to flag leaf and from then to anthesis was milder than for previous phases and was not related to variability in Ppd-1. However, ‘memory’ effects of previously experienced photoperiod on the duration from onset of stem elongation to flag leaf were related to variability in Ppd-1. The characterization and quantification provided here of the effects on development of Ppd-1 allelic combinations should help increase accuracy of genotype-to-phenotype models in predicting wheat phenology.EEA PergaminoFil: Perez Gianmarco, Thomas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Sección Ecofisiología; Argentina. CONICET-UNNOBA.CITNOBA; ArgentinaFil: Severini, Alan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Sección Ecofisiología; ArgentinaFil: González, Fernanda G. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Sección Ecofisiología; Argentina. CONICET-UNNOBA.CITNOBA; Argentin

Wheat Ppd-1 allelic combination modulates photoperiod sensitivity

ABSTRACT: a model linking Ppd-1 allelic composition to photoperiod response curve would allow replacing expensive and time consuming phenologic trials. In Ppd-1 near isogenic lines grown under different photoperiods we observed that Ppd-1a “insensitivity” alleles decreased photoperiod sensitivity for the whole cycle to anthesis, with negligible effect on threshold photoperiod or intrinsic earliness. Photoperiod sensitivity for the first half of the cycle (emergence to onset of stem elongation) responded similarly. Photoperiod response for the second half (onset of stem elongation to anthesis) was milder. After validation, this model would allow to predict photoperiod response of any genotype, given its Ppd-1 allelic combination.EEA PergaminoFil: Perez Gianmarco, Thomas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Ecofisiología; ArgentinaFil: Severini, Alan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Ecofisiología; ArgentinaFil: González, Fernanda. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Ecofisiología; Argentin