gebhart/patrepeval huggingface dataset:
Joint Image-Text Representation by Gaussian Visual-Semantic Embedding (2016)

How to jointly represent images and texts is important for tasks involving both modalities. Visual-semantic embedding models have been recently proposed and shown to be effective. The key idea is that by learning a mapping from images into a semantic text space, the algorithm is able to learn a compact and effective joint representation. However, existing approaches simply map each text concept to a single point in the semantic space. Mapping instead to a density distribution provides many interesting advantages, including better capturing uncertainty about each text concept, and enabling better geometric interpretation of concepts such as inclusion, intersection, etc. In this work, we present a novel Gaussian Visual-Semantic Embedding (GVSE) model, which leverages the visual information to model text concepts as Gaussian distributions in semantic space. Experiments in two tasks, image classification and text-based image retrieval on the large scale MIT Places205 dataset, have demonstrated the superiority of our method over existing approaches, with higher accuracy and better robustness.
Context Awareness in Uncertain Pervasive Computing and Sensors Environment (2018)

International audience
The effect of 1,25-dihydroxyvitamin D3 on cartilage growth in neonatal mice. (1983)

The in vivo effects of 1,25(OH)2D3 on cell proliferation, tissue organization and matrix mineralization have been studied in condylar cartilage of neonatal mice. A relatively low dose of the metabolite, 50 ng/kg body weight, significantly reduced the incorporation of [3H]thymidine as well as the number of chondroblasts. The cartilage as a whole underwent a marked derangement in its organization, as many fibroblastlike cells appeared to occupy the zone of progenitor cells. There was a high degree of correlation observed between the effects of 1,25(OH)2D3 upon [3H]thymidine incorporation and the size of the condylar zone of chondroblasts. With increasing doses, enhanced mineralization was noted in the cartilaginous matrix, along with cartilage cell degeneration. These findings indicate that 1,25(OH)2D3 possesses an inhibitory effect upon both the proliferative activity of prechondroblasts and upon the capacity of those cells to differentiate into chondroblasts.
Prospects for Eulerian CFD analysis of helicopter vortex flows (1987)

The applicability of current finite-volume CFD algorithms based on the Euler equations to the vortex flow over a helicopter in forward flight is investigated analytically. The general characteristics of the flow are reviewed; existing Euler, Navier-Stokes, perturbation, high-order, and adaptive methods are briefly characterized; and a novel Eulerian/Lagrangian approach with entropy and vorticity corrections is presented in detail. Numerical results for simple convection of a finite-core Lamb vortex moving downstream with its axis perpendicular to the flow are presented in graphs, and the possibility of extending the method to three-dimensional, viscous, and shock flows is discussed.
Multi-Timescale Dynamics in Intrinsically Disordered Proteins from NMR Relaxation and Molecular Simulation (2016)

Intrinsically disordered proteins (IDPs) access highly diverse ensembles of conformations in their functional states. Although this conformational plasticity is essential to their function, little is known about the dynamics underlying interconversion between accessible states. Nuclear magnetic resonance (NMR) relaxation rates contain a wealth of information about the time scales and amplitudes of motion in IDPs, but the highly dynamic nature of IDPs complicates their interpretation. We present a novel framework in which a series of molecular dynamics (MD) simulations are used in combination with experimental (15)N relaxation measurements to characterize the ensemble of dynamic processes contributing to the observed rates. By accounting for the distinct dynamic averaging present in the different conformational states sampled by the equilibrium ensemble, we are able to accurately describe both dynamic time scales and local and global conformational sampling. The method is robust, systematically improving agreement with independent experimental relaxation data, irrespective of the actively targeted rates, and suggesting interdependence of motions occurring on time scales varying over 3 orders of magnitude.
A Multigrid Method for Efficiently Training Video Models (2019)

Training competitive deep video models is an order of magnitude slower than training their counterpart image models. Slow training causes long research cycles, which hinders progress in video understanding research. Following standard practice for training image models, video model training assumes a fixed mini-batch shape: a specific number of clips, frames, and spatial size. However, what is the optimal shape? High resolution models perform well, but train slowly. Low resolution models train faster, but they are inaccurate. Inspired by multigrid methods in numerical optimization, we propose to use variable mini-batch shapes with different spatial-temporal resolutions that are varied according to a schedule. The different shapes arise from resampling the training data on multiple sampling grids. Training is accelerated by scaling up the mini-batch size and learning rate when shrinking the other dimensions. We empirically demonstrate a general and robust grid schedule that yields a significant out-of-the-box training speedup without a loss in accuracy for different models (I3D, non-local, SlowFast), datasets (Kinetics, Something-Something, Charades), and training settings (with and without pre-training, 128 GPUs or 1 GPU). As an illustrative example, the proposed multigrid method trains a ResNet-50 SlowFast network 4.5x faster (wall-clock time, same hardware) while also improving accuracy (+0.8% absolute) on Kinetics-400 compared to the baseline training method. Code is available online.
Cylic guanidines. VIII. Synthesis of imidazo-1,3- and -2,4-benzodiazepine derivatives as blood platelet aggregation inhibitors. (1980)

The imidazo [2, 1-b] [1, 3]- and -[2, 4] benzodiazepin-2-one derivatives (4) and (13), and imidazo [1, 2-α] [1, 3] benzodiazepin-2-one derivative (9), of a potent blood platelet aggregation inhibitor, the imidazo [2, 1-b] quinazolin-2-one derivative (14), were synthesized as ring expansion analogs. Compound 9 showed potent activity but 4 and 13 showed poor activity and no activity, respectively.
The investigation of the relationship between consumer perceptions of the company social responsibility and advertising recommendations (case study consumers of detergent products in the SIRJAN city) (2016)

Consumer behavior as a human being comes from his perception, perception of company social responsibility, ads perception, the perception of the attitude of seller and so on and this mostly glare in the consumer purchases. Recommended advertisement as one of the major marketing strategies affects the consumer behavior and their choices, and thus it has achieved an important and prominent role in the promotion of successful sales of products in an organization. Therefore, researchers are trying to make this strategy possible in the organizations. Therefore, in this article we have examined the relationship between consumer perceptions of company social responsibility with recommended advertisement. The aim of this study is to find the relationship between consumer perceptions of corporate social responsibility (satisfied) with recommended advertisement. The presented model in this study is aimed to explore this process. Results of this study showed a positive and significant relationship between consumer perceptions of corporate social responsibility (consumer satisfaction) in the recommended advertisement.
A theoretical model for respiratory motion artifacts in free-breathing CT scans (2009)

Successful radiotherapy treatment depends heavily upon the accuracy of patient geometry captured during treatment simulation using computed tomography (CT) scans. Radiotherapy patients are often scanned under free breathing, and respiratory motion can cause severe artifacts in CT scans, including shortening, elongation or splitting of the shapes and shifting of the midpoint positions of the tumor and organs. This paper presents a theoretical model that explains the source of motion artifacts and the relationship between motion artifacts and the motion parameters of the scanner, treatment couch and tumor/organ. It is shown that an understanding of the relationship between the translational table velocity and the maximum tumor/organ velocity might enable one to mitigate certain types of motion artifacts. We show that splitting artifacts can be eliminated if the scanning speed is above the maximum tumor/organ velocity. Slow scanning speeds are shown to be useful for obtaining accurate internal target volumes (ITVs), and fast scanning speeds are shown to be useful for obtaining accurate tumor/organ shapes. In both cases, an upper bound on the maximum possible error is calculated as a function of the scanning speed. A set of special scanning speeds which allow for an accurate representation of tumor/organ length along the craniocaudal direction is obtained, and a relationship between the maximum displacement of a tumor/organ image's midpoint position and the magnitude of its length distortion is derived.
Facile cycloalkylation of arylacetonitriles in dimethyl sulfoxide (1971)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTFacile cycloalkylation of arylacetonitriles in dimethyl sulfoxideDonald Eugene Butler and Joy C. PollatzCite this: J. Org. Chem. 1971, 36, 9, 1308–1309Publication Date (Print):May 1, 1971Publication History Published online1 May 2002Published inissue 1 May 1971https://pubs.acs.org/doi/10.1021/jo00808a035https://doi.org/10.1021/jo00808a035research-articleACS PublicationsRequest reuse permissionsArticle Views248Altmetric-Citations11LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Real-time Vision-based Depth Reconstruction with NVidia Jetson (2019)

Vision-based depth reconstruction is a challenging problem extensively studied in computer vision but still lacking universal solution. Reconstructing depth from single image is particularly valuable to mobile robotics as it can be embedded to the modern vision-based simultaneous localization and mapping (vSLAM) methods providing them with the metric information needed to construct accurate maps in real scale. Typically, depth reconstruction is done nowadays via fully-convolutional neural networks (FCNNs). In this work we experiment with several FCNN architectures and introduce a few enhancements aimed at increasing both the effectiveness and the efficiency of the inference. We experimentally determine the solution that provides the best performance/accuracy tradeoff and is able to run on NVidia Jetson with the framerates exceeding 16FPS for 320 × 240 input. We also evaluate the suggested models by conducting monocular vSLAM of unknown indoor environment on NVidia Jetson TX2 in real-time. Open-source implementation of the models and the inference node for Robot Operating System (ROS) are available at https://github.com/CnnDepth/tx2_fcnn_node.
Assay performance during validation of freezing channel catfish Ictalurus punctatus (Rafinesque) infected with a Gram-negative bacterium (2010)

Recovery of bacteria from infected fish during population sampling can be affected by factors including the type of assay, method of specimen preservation and concentration of bacteria present. Consequently, before use in field sampling, methods should be validated. The three objectives of this study were, first, to determine whether a channel catfish Ictalurus punctatus (Rafinesque) fingerling classified as positive for Gram-negative Edwardsiella ictaluri infection according to bacterial culture before freezing was also classified as positive after freezing, second, to determine how direct culture from the kidney (DIRECT), culture of homogenate (HOMOG) and standard PCR (PCR) agree with bacterial culture in terms of classifying fish as positive or negative and third, to estimate diagnostic sensitivity (dSe) and diagnostic specificity (dSp) for DIRECT, HOMOG and PCR. In fresh and frozen fish, as bacterial concentration decreased, the ability of each assay to detect positive fish also decreased, especially when there were <104 colony-forming units per gram (CFU g−1) tissue. HOMOG proved to be the most reliable at correctly classifying catfish, whether they were subclinically or clinically infected. PCR assay was the least reliable. Overall, values for this study population for dSe were 0.66, 0.92 and 0.43, and for dSp were 0.86, 0.91 and 0.95, for DIRECT, HOMOG and PCR respectively.
Renal function in patients at risk of contrast material-induced acute renal failure: noninvasive, real-time monitoring. (1993)

Real-time changes in renal function were studied in a group of 20 patients at risk of contrast-material-induced acute renal failure during different angiographic procedures. Renal function was evaluated with an ambulatory renal monitor (ARM) after a single injection of the glomerular filtration agent technetium-99m diethylenetriaminepentaacetic acid (DTPA). The ARM was used to continuously monitor the clearance of Tc-99m DTPA activity from the extracellular space in the arm of the patient during angiography. A one-compartment model was used to calculate on-line the rate constant for clearance of Tc-99m DTPA from the extracellular space. Changes in the rate constant were compared with changes in plasma creatinine level measured 1-4 days after angiography. The results showed that the ARM measured rapid changes in renal function during angiography with a resolution time of 5-10 minutes in patients with normal to moderately decreased renal function and 15-20 minutes in patients with severe renal dysfunction. The sensitivity of this technique was superior to that of plasma creatinine level analysis.
Data Sets Tm values for HRM assay specificity (2013)

Data Set 1. Tm Values for HRM duplex assay specificity<br>This data set contains the individual Tm values for the specificity testing of the vaginal/skin, blood/menstrual and saliva/semen HRM duplex assay specificity presented in Table 2. Individual donors are listed according to body fluid or tissue type with the Tm values (oC) recorded under each biomarker. IL19 = vaginal biomarker, ALAS2 = blood , HTN3 = saliva biomarker, IL1F7 = skin biomarker, MMP10 = menstrual blood, TGM4 = semen biomarker, n.d. = not detected in body fluid of interest, empty cell = no detection Data Set 2. Tm Values for ‘All Body Fluids’ Hexaplex Assay Specificity<br>This data set contains the individual Tm values for specificity testing of the ‘all body fluids’ hexaplex HRM assay presented in Table 4. Individual donors are listed according to body fluid or tissue type with the observed Tm values recorded under each biomarker. n.d. = not detected in body fluid of interest
CHEMICAL CHARACTERIZATION OF DIFFERENT LINES OF DAUCUS CAROTA L. ROOTS (2000)

ABSTRACT Carrot lines grown under commercial conditions in central Washington State in 1995 and in 1996 were analyzed for quality parameters. Significant differences (p&lt;0.05) of refractive index, color, and volatile terpenes between carrot lines were observed. High correlations between a*/b* (r 2 = 0.79) or hue angle (r 2 = ‐0.78) and the sum of concentrations of α‐ and β‐carotenes in carrot juice were observed. The concentrations of α‐ and β‐pinene, myrcene, α‐ and γ‐terpinene, limonene, p‐cymene, terpinolene, caryophyllene, bornyl acetate, and 2‐nonenal varied depending on the carrot line. Lines with the highest o Brix to terpinolene ratios indicating a higher degrees of sweetness (and lower bitterness) were Coral II, HMX 8287, and (2566 × 6274) × 9304. Identification of the differences that exist among carrot lines would allow for selection of carrot lines that possess desirable quality attributes.
ClusterSs (2011)

Programming for large-scale, multicore-based architectures requires adequate tools that offer ease of programming while not hindering application performance. StarSs is a family of parallel programming models based on automatic function level parallelism that targets productivity. StarSs deploys a data-flow model: it analyses dependencies between tasks and manages their execution, exploiting their concurrency as much as possible. We introduce Cluster Superscalar (ClusterSs), a new StarSs member designed to execute on clusters of SMPs. ClusterSs tasks are asynchronously created and assigned to the available resources with the support of the IBM APGAS runtime, which provides an efficient and portable communication layer based on one-sided communication.This short paper gives an overview of the ClusterSs design on top of APGAS, as well as the conclusions of a productivity study; in this study, ClusterSs was compared to the IBM X10 language, both in terms of programmability and performance. A technical report is available with the details.
Hollow Colloidosomes Prepared Using Accelerated Solvent Evaporation (2013)

We demonstrate a new, scalable, simple, and generally applicable two-step method to prepare hollow colloidosomes. First, a high volume fraction oil-in-water emulsion was prepared. The oil phase consisted of CH2Cl2 containing a hydrophobic structural polymer, such as polycaprolactone (PCL) or polystyrene (PS), which was fed into the water phase. The water phase contained poly(vinylalcohol), poly(N-isopropylacrylamide), or a range of cationic graft copolymer surfactants. The emulsion was rotary evaporated to rapidly remove CH2Cl2. This caused precipitation of PCL or PS particles which became kinetically trapped at the periphery of the droplets and formed the shell of the hollow colloidosomes. Interestingly, the PCL colloidosomes were birefringent. The colloidosome yield increased and the polydispersity decreased when the preparation scale was increased. One example colloidosome system consisted of hollow PCL colloidosomes stabilized by PVA. This system should have potential biomaterial applications due to the known biocompatibility of PCL and PVA.
Méthodes de microscopie par holographie numérique interférentielle en couleurs avec un éclairage partiellement cohérent (2017)

La présente thèse traite de méthodes en microscopie holographique numérique (MHN) en couleurs, avec un éclairage de cohérence spatiale partielle. Le principal inconvénient de la microscopie optique classique est sa faible profondeur de champ, rendant difficile l’observation de phénomènes dynamiques dans des échantillons épais. Au contraire, la MHN offre une reconstruction en profondeur grâce à la propagation numérique de l’hologramme. La MHN interférométrique donne aussi le contraste quantitatif de la phase, utile pour analyser des objets transparents. Un éclairage à plusieurs longueurs d’onde dans une configuration appropriée permet la MHN en couleurs. L’imagerie en flux et en couleurs de particules en MHN est ici développée, avec une méthode pour la correction automatique de la balance des couleurs et des défauts permanents. Elle est appliquée pour l’analyse du plancton dans des échantillons d’eau de surface et fournit des images de haute qualité pour les intensité et phase optiques. En outre, la réduction du bruit obtenue en diminuant la cohérence spatiale de l’éclairage en MHN est également étudiée, avec deux modèles évaluant quantitativement ce phénomène en fonction de la cohérence spatiale de la lumière et de la distance entre la source de bruit et le plan d’enregistrement. De plus, la MHN différentielle est aussi abordée. Celle-ci fournit les phases différentielles, la phase étant calculée par intégration. Cependant, les défauts présents conduisent à des aberrations lors du calcul de la phase, qui affectent sa qualité et empêchent la reconstruction holographique. Un traitement spécifique est développé, permettant la reconstruction numérique en profondeur. Enfin, en MHN, un critère est essentiel pour déterminer automatiquement la distance de netteté de l’objet. Deux critères de netteté sont ici mis au point, fonctionnant indépendamment de la nature de l’objet observé (amplitude, phase ou mixte). L’un, monochromatique, est basé sur l’analyse de l’amplitude et sur un filtrage passe-haut ;l’autre, qui détecte rapidement le plan de netteté en MHN en couleurs, compare la phase dans le domaine de Fourier entre les couleurs. Les méthodes développées dans la thèse montrent le potentiel élevé de la MHN en couleurs avec un éclairage partiellement cohérent spatialement, suggérant un avenir prometteur pour cette technique.