1,359,650 research outputs found

    I was a Shastri

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    Anand Chaudhari attended Toronto Bible College in the late 1960s and graduated in 1969 from Ontario Bible College.This booklet is his testimony of transforming from a Shastri (a Hindu priest) to doing God’s work with the Hindus in India.For AODA accommodation, including help with reading this content, please contact [email protected](no table of contents in this booklet

    Performing Environmental Justice. Staged Reflections

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    With Shweta Bhattad, Zuleikha Chaudhari, Başak Ertür, Emilie Gaillard, Shela Sheikh and Radha D’Souza People’s Tribunals have a long history. They have served for serious reflection upon the relationship between law, rights, and justice. More recently there has been an emphasis on environmental justice, for instance in the International Monsanto Tribunal. What are appropriate epistemological and aesthetic frameworks for considering environmental harm? Can staged hearings and experimental assemblies function speculatively and propositionally in relation to existing legal forums? What might justice look like in these settings and how is it performed? What here is the status of evidence and testimony? Taking Brechts´s theoretical and unfinished text Messingkauf Dialogues as a proposal for a mutual learning encounter, the panel reflects upon various forms of performance and enactment and explores how such spaces function as sites of knowledge and reality production. Concept: Zuleikha Chaudhari, Shela Sheik

    Dr. Praveen Chaudhari named director of Brookhaven National Laboratory

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    "Brookhaven Science Associates announced today the selection of Dr. Praveen Chaudhari as Director of the U.S. Department of Energy's Brookhaven National Laboratory. Dr. Chaudhari, who will begin his new duties on April 1, joins Brookhaven Lab after 36 years of distinguished service at IBM as a scientist and senior manager of research" (1 page)

    Directional adversarial training for cost sensitive deep learning classification applications

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    In many real-world applications of Machine Learning it is of paramount importance not only to provide accurate predictions, but also to ensure certain levels of robustness. Adversarial Training is a training procedure aiming at providing models that are robust to worst-case perturbations around predefined points. Unfortunately, one of the main issues in adversarial training is that robustness w.r.t. gradient-based attackers is always achieved at the cost of prediction accuracy. In this paper, a new algorithm, called Wasserstein Projected Gradient Descent (WPGD), for adversarial training is proposed. WPGD provides a simple way to obtain cost-sensitive robustness, resulting in a finer control of the robustness-accuracy trade-off. Moreover, WPGD solves an optimal transport problem on the output space of the network and it can efficiently discover directions where robustness is required, allowing to control the directional trade-off between accuracy and robustness. The proposed WPGD is validated in this work on image recognition tasks with different benchmark datasets and architectures. Moreover, real world-like datasets are often imbalanced: this paper shows that when dealing with such type of datasets, the performance of adversarial training are mainly affected in term of standard accuracy

    Kinetics of Carboxylation of Styrene Using a Homogeneous Palladium Complex Catalyst

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    Kinetics of carboxylation of styrene to Me 2-phenylpropionate and Me 3-phenylpropionate has been investigated using a homogeneous Pd(OAc)2/PPh3/p-toluenesulfonic acid catalyst system. The effect of concn. of styrene, catalyst, water, and partial pressure of CO on the activity, selectivity, and rate of reaction has been studied in a temp. range of 338-358 K. The activity of the catalyst as well as the selectivity of the products was sensitive to all the reaction parameters studied. The selectivity of 2-phenylpropionate was found to decrease substantially with an increase in temp. and was enhanced by an increase in the partial pressure of CO and beyond a styrene concn. of 3.84 kmol/m3. The rate of carboxylation varied linearly with the catalyst and was zero order with respect to styrene concn. in the range of 0.567- 3.84 kmol/m3. An unusual trend of an increase in activity was obsd. beyond a styrene concn. of 3.84 kmol/m3. The rate also increased with an increase in the partial pressure of CO initially and was independent beyond 3.4 MPa. Water showed a promoting effect up to a concn. of 9.244 × 10-2 kmol/m3. On the basis of the initial rate data obtained, a rate equation was proposed and the kinetic parameters evaluated. The activation energy was found to be 65.49 kJ/mol. Also, a plausible reaction mechanism for the carboxylation of styrene has been proposed

    Fluid-melt partitioning of sulfur in differentiated arc magmas and the sulfur yield of explosive volcanic eruptions

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    The fluid-melt partitioning of sulfur (DSfluid/melt) in differentiated arc magmas has been experimentally investigated under oxidizing conditions (Re-ReO2 buffer) from 800 to 950°C at 200MPa. The starting glasses ranged in composition from trachyte to rhyolite and were synthesized targeting the composition of the residual melt formed after 10-60% crystallization of originally trachy-andesitic, dacitic and rhyodacitic magmas (Masotta and Keppler, 2015). Fluid compositions were determined both by mass balance and by Raman spectroscopy of fluid inclusions. DSfluid/melt increases exponentially with increasing melt differentiation, ranging from 2 to 15 in the trachytic melt, from 20 to 100 in the dacitic and rhyodacitic melts and from 100 to 120 in the rhyolitic melt. The variation of the DSfluid/melt is entirely controlled by the compositional variation of the silicate melt, with temperature having at most a minor effect within the range investigated. Experiments from this study were used together with data from the literature to calibrate the following model that allows predicting DSfluid/melt for oxidized arc magmas: lnDSfluid/melt=9.2-31.4·nbot-1.8·ASI-29.5·Al#+4.2·Ca#where nbot is the non-bridging oxygen atoms per tetrahedron, ASI is the alumina saturation index, Al# and Ca# are two empirical compositional parameters calculated in molar units (Al#=XAl2O3XSiO2+XTiO2+XAl2O3 and Ca#=XCaOXNa2O+XK2O).The interplay between fluid-melt partitioning and anhydrite solubility determines the sulfur distribution among anhydrite, melt and fluid. At increasing melt polymerization, the exponential increase of the partition coefficient and the decrease of anhydrite solubility favor the accumulation of sulfur either in the fluid phase or as anhydrite. On the other hand, the higher anhydrite solubility and lower partition coefficient for less polymerized melts favor the retention of sulfur in the melt. At equilibrium conditions, these effects yield a maximum of the sulfur fraction in the fluid phase for slightly depolymerized melts (nbot= 0.05-0.15). Our data allow quantitative predictions of the sulfur yield of explosive volcanic eruptions over a wide range of magma compositions

    Modeling and Analysis of an antagonistically driven robot hand

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    In DLR, the third generation of an anthropomorphic hand is being developed. The present work focussed on the development of the kinematic and friction model of the finger. A forward kinematic model which deteremines the change in length of the tendons w.r.t to the joints of the finger is derived. Causes for friction in the finger are discussed. Friction models for the motor and the finger are investigated. Determination of motor parameters namely viscous and static friction using least square approximation methods is done. Experiments and simulation results are shown to support the estimated parameters

    TRAIL and TGF-ßl-Induced Apoptosis of Human Airway Epithelial Cells

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    Asthma is a chronic inflammatory disease characterized by airway hyperresponsiveness (AHR), airway obstruction, wheezing, and leads to airway remodeling if these symptoms persist. Airway remodeling is characterized by goblet hyperplasia, airway smooth muscle hypertrophy and hyperplasia, subepithelial fibrosis and denudation of the epithelium. Due to weakened protection of the airway epithelium, the body is more susceptible to infections and exacerbation of asthma symptoms. Airway epithelial cells are damaged and shed during airway remodeling, a characteristic of chronic asthma. During airway remodeling inflammatory cells including eosinophils and neutrophils penetrate the epithelium leading destruction of the tissue. Eosinophils, primary inflammatory cells, release TGF-ßl, a potent mediator of epithelial damage. Expression of TGF-ßl is higher in asthmatics. TGF-ßl can induce apoptosis of airway epithelial cells, however, the underlying mechanism of apoptosis is not well defined. A new member of the TNF superfamily, TRAIL, is predominantly involved in apoptosis. Various studies in hepatoma cells have linked the pathways of TRAIL and TGF-ßl. Given this information, we hypothesized that TGF-ßl induced apoptosis of airway epithelial cells occurs through the actions of TRAIL. We investigated the role of TGF-ßl in the proliferation and apoptosis of human airway epithelial cells. Also we examined the effect of TGF-ßl on the mRNA transcript and protein expression of TRAIL. To investigate whether TGF-ßl induced apoptosis via TRAIL, we performed a study in which the receptor of TRAIL was blocked to observe whether caspase-dependent apoptosis still occurs. TGF-ßl induced the release of TRAIL by airway epithelial cells. Upon TGF-ßl treatment, proliferation decreased while apoptosis increased. The mRNA transcript and protein expression was increased upon treatment with TGF-ßl. The expression of activated caspase-3 was increased with TGF-ßl treatment as well as the increased expression of Bax. However, there was a decreased expression of Bcl-2. When TRAIL-R2 was blocked, there is no apoptosis induced by TGF-ßl through the actions of caspases. These data suggest that TGF-ßl induced apoptosis occurs through the actions of TRAIL and its receptors and may have potential in therapy for treating asthma.ProQuest Traditional Publishing Optionxi, 78 page

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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