gebhart/patrepeval huggingface dataset:
Ocular disease leads to decreased concentrations of epidermal growth factor in the tear fluid (1991)

The concentration of epidermal growth factor (EGF) in tear fluid (TF) was recently shown to decrease with increasing tear fluid flow (TFF). The purpose of the present study was to clarify the effects of ocular surface disease on the TF EGF concentrations. Tear fluid samples (n = 243) were collected from diseased eyes by means of blunted glass capillaries. The time of collection was measured for each sample, and the tear fluid flow in the capillaries (TFFc) was calculated. The concentration of human EGF (hEGF) was determined using a time-resolved immunofluorometric assay (TR-IFMA). For statistical analysis diagnosis-dependent multigrouping was performed and the data of the patient groups were compared to the data for a control group. The control material consisted of 271 TF samples collected from healthy eyes before (n = 59) and after stimulation of reflex tearing (n = 212). It was shown that TF specimens of patients (n = 243) contained significantly (p less than 0.001) less EGF (mean 952 pg/ml) than the TF of healthy control individuals before (n = 59 samples; mean 6589 pg/ml) or after stimulation of reflex tearing (n = 212 samples; mean 2762 pg/ml). The EGF concentration of every patient group was significantly lower than that found in the TF of control individuals both before and during reflex tearing (p less than 0.001). The rate of EGF released with TF during collection did not differ significantly between the various groups of patients or from that released with the TF of normal individuals before induction of reflex tearing.(ABSTRACT TRUNCATED AT 250 WORDS)
Musiques pour piano (1937)

Dedicaces a Jean Doyen, Lazare Levy, Helene Pignari et Magda Tagliaferro. - Date de composition : 1937-1938. - 1re ed. : 1939
On Sharing Viral Video over an Ad Hoc Wireless Network (2011)

We consider the problem of broadcasting a viral video (a large file) over an ad hoc wireless network (e.g., students in a campus). Many smartphones are GPS enabled, and equipped with peer-to-peer (ad hoc) transmission mode, allowing them to wirelessly exchange files over short distances rather than use the carrier's WAN. The demand for the file however is transmitted through the social network (e.g., a YouTube link posted on Facebook). To address this coupled-network problem (demand on the social network; bandwidth on the wireless network) where the two networks have different topologies, we propose a file dissemination algorithm. In our scheme, users query their social network to find geographically nearby friends that have the desired file, and utilize the underlying ad hoc network to route the data via multi-hop transmissions. We show that for many popular models for social networks, the file dissemination time scales sublinearly with n; the number of users, compared to the linear scaling required if each user who wants the file must download it from the carrier's WAN.
Multiple metal-carbon bonds. 10. Thermally stable tantalum alkylidyne complexes and the crystal structure of Ta(.eta.5-C5Me5)(CPh)(PMe3)2Cl (1978)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMultiple metal-carbon bonds. 10. Thermally stable tantalum alkylidyne complexes and the crystal structure of Ta(.eta.5-C5Me5)(CPh)(PMe3)2ClS. J. McLain, C. D. Wood, L. W. Messerle, R. R. Schrock, Frederick J. Hollander, Wiley J. Youngs, and Melvyn Rowen ChurchillCite this: J. Am. Chem. Soc. 1978, 100, 18, 5962–5964Publication Date (Print):August 1, 1978Publication History Published online1 May 2002Published inissue 1 August 1978https://pubs.acs.org/doi/10.1021/ja00486a069https://doi.org/10.1021/ja00486a069research-articleACS PublicationsRequest reuse permissionsArticle Views511Altmetric-Citations67LEARN 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
Dynamic Redox Regulation of IL-4 Signaling (2015)

Quantifying the magnitude and dynamics of protein oxidation during cell signaling is technically challenging. Computational modeling provides tractable, quantitative methods to test hypotheses of redox mechanisms that may be simultaneously operative during signal transduction. The interleukin-4 (IL-4) pathway, which has previously been reported to induce reactive oxygen species and oxidation of PTP1B, may be controlled by several other putative mechanisms of redox regulation; widespread proteomic thiol oxidation observed via 2D redox differential gel electrophoresis upon IL-4 treatment suggests more than one redoxsensitive protein implicated in this pathway. Through computational modeling and a model selection strategy that relied on characteristic STAT6 phosphorylation dynamics of IL-4 signaling, we identified reversible protein tyrosine phosphatase (PTP) oxidation as the primary redox regulatory mechanism in the pathway. A systems-level model of IL-4 signaling was developed that integrates synchronous pan-PTP oxidation with ROS-independent mechanisms. The model quantitatively predicts the dynamics of IL-4 signaling over a broad range of new redox conditions, offers novel hypotheses about regulation of JAK/STAT signaling, and provides a framework for interrogating putative mechanisms involving receptor-initiated oxidation.
Antitrichomonal activity of mesoionic thiazolo[3,2-a]pyridines (1985)

Screening of mesoionic compounds as potential electron acceptors by analogy with metronidazole led to the finding of in vitro antitrichomonal activity for anhydro-2-phenyl-3-hydroxythiazolo [3,2-a]pyridinium hydroxide (1). In a series of analogues, potent in vitro activity was found to be associated with amino substitution; however, such activity was dependent on specific structural features and not on the reduction potential. The most active compounds showed only poor in vivo activity.
Salmonid alphavirus (SAV) (2018)

Salmonid alphavirus (SAV), genus <i>Alphavirus</i>, family <i>Togaviridae</i>, is a single-stranded RNA virus affecting Atlantic salmon (<i>Salmo salar</i>) and rainbow trout (<i>Oncorhynchus mykiss</i>). It is known to be responsible for pancreas disease (PD) and sleeping disease (SD) which are increasing problems, causing high fish mortality and economic losses in the European aquaculture industry. Pancreas disease was first described in Atlantic salmon in Scotland in 1976 and a similar disease caused by the closely related sleeping disease virus was first described in rainbow trout in France. There have also been reports of salmonid alphavirus infections from other European countries, including Ireland, England, Norway, Germany, Italy, and Spain. Salmonid alphaviruses have been classified into six subtypes (SAV1-6). SAV1 and SAV4-6 cause pancreas disease in Atlantic salmon in Ireland or Scotland, SAV2 is the causative agent of sleeping disease in rainbow trout, and SAV3 has been detected in Atlantic salmon in Norway. The aim of this paper was to summarise current knowledge of infections caused by salmonid alphavirus and diagnostic methods including the newest techniques, and to briefly describe prevention from SAV infections by vaccination.
Dynamic uplink-downlink configuration and interference management in TD-LTE (2012)

Transmissions in different cells of a time-division duplex system are typically synchronous in order to eliminate the base station-to-base station and terminal-to-terminal interference. The synchronous operation limits dynamic resource configuration for downlink and uplink transmissions. Today, as a large percentage of mobile traffic is generated in hotspots and indoor environments, heterogeneous networks comprising high-power/wide-area and low-power/local-area network nodes are becoming a reality. Such heterogeneous networks provide opportunities to exploit dynamic uplink-downlink configuration in TDD systems, adapting to the individual traffic needs of a specific cell area. This article presents a tutorial overview of dynamic uplink-downlink configuration and interference management in time-division Long Term Evolution, including motivations, target deployment scenarios, opportunities and challenges, system requirements, design aspects, and performance evaluations.
Information Visualization, Visual Data Mining and Machine Learning (2012)

This report documents the program and the outcomes of Dagstuhl Seminar 12081 “Information Visualization, Visual Data Mining and Machine Learning”. The aim of the seminar was to tighten the links between the information visualisation community and the machine learning community in order to explore how each field can benefit from the other and how to go beyond current hybridization successes.
Hybridization of labeled RNA to DNA in agarose gels (1975)

Specific DNA restriction endonuclease fragments can be identified after electrophoresis in agarose gels by hybridization in the gel (in situ) to radioactive homologous RNA. RNA-DNA hybrids are detected by autoradiography of the gel. Comparison of band patterns of the autoradiogram and the ethidium bromide stained gel allows the identification of the DNA fragment which is complementary to the RNA probe. The technique is rapid, easy and inexpensive. It is sensitive enough to detect individual genes in a mixture of fragments produced by restriction enzyme digestion of complex cellular DNA. We have used this technique to determine which of the Hin III and Eco R1 fragments of phi80d3ilv+su+7 and E. coli DNAs contain the 5S, 16S and 23S ribosomal RNA (rRNA) genes of E. coli.
On Holland's Dutch Identity Conjecture (1997)

The manifest probabilities of observed examinee response patterns resulting from marginalization with respect to the latent ability distribution produce the marginal likelihood function in item response theory. Under the conditions that the posterior distribution of examinee ability given some test response pattern is normal and the item logit functions are linear, Holland (1990a) gives a quadratic form for the log-manifest probabilities by using the Dutch Identity. Further, Holland conjectures that this special quadratic form is a limiting one for all “smooth” unidimensional item response models as test length tends to infinity. The purpose of this paper is to give three counterexamples to demonstrate that Holland's Dutch Identity conjecture does not hold in general. The counterexamples suggest that only under strong assumptions can it be true that the limits of log-manifest probabilities are quadratic. Three propositions giving sets of such strong conditions are given.
Self-organizing map based adaptive sampling (2013)

We propose a new adaptive sampling method that uses Self-Organizing Maps (SOM). In SOM, densely sampled regions in the input space is represented by a larger area on the map than that of sparsely sampled regions. We use this property to progressively tune-in on the interesting region of the design space. The method does not rely on parameterized distribution, and can sample from multi-modal and non-convex distributions. In this paper, we minimize several mathematical test functions. We also show its performance in inequality-constrained objective satisfaction problem, in which the objective is to seek diversity in solutions satisfying certain upper-bound constraint in the minimized objective. A new merit function and a measure of space-filling quality were proposed for this purpose.
Estimation of student's engagement based on the posture (2019)

It is important for teachers to grasp students' engagement in order to improve the quality of lectures. However, in the e-learning environment, there is no teacher to grasp the students' engagement and it may cause ineffective learning. The purpose of this study is to grasp the students' engagement by using a pressure mat and web camera. We recorded students' postural data, that is upper body pressure distribution and upper body pose, during e-learning lectures. Then we extracted 38 features from upper body pressure distribution and 33 features from upper body pose for every minute, selected proper features and trained classifiers to estimate whether he or she was engaged in the lecture. As a result, the average accuracy was 79.3% for student-dependent estimation. This result shows it is possible to predict the student's engagement automatically.
Polarization selective photoresist based on reactive liquid crystals doped with a dichroic photoinitiator (2013)

We developed a polarization-selective negative photoresist based on a smectic B liquid crystal monomer host functionalized with a dichroic photoinitiator. The smectic phase enables high-order parameter uniaxial alignment of the monomer host molecules. It is shown that the dichroic initiator aligns with the host which provides the polarization selectivity upon UV initiation of the polymerization of the monomer system. The polymerization contrast with respect to its sensitivity for polarized UV light can become infinitely high by the addition of an inhibitor. We tested the new lithographic material for its application in polarization holography. These experiments show that the polymerization contrast can be translated into the formation of well-defined structures but require further optimization.
UNIFYing Cloud and Carrier Network Resources: An Architectural View (2014)

Cloud networks provide various services on top of virtualized compute and storage resources. The flexible operation and optimal usage of the underlying infrastructure are realized by resource orchestration methods and virtualization techniques developed during the recent years. In contrast, service deployment and service provisioning in carrier networks have several limitations in terms of flexibility, scalability or optimal resource usage as the built-in mechanisms are strongly coupled to the physical topology and special purpose hardware elements. Network Function Virtualization (NFV) opens the door between cloud and carrier networks by providing software-based telecommunication services which can run in virtualized environment on general purpose hardwares. Our main goal is to unify software and network resources in a common framework. In this paper, we propose a novel architecture supporting automated, dynamic service creation based on a fine-granular service chaining model, SDN and cloud virtualization techniques. First, we introduce the architecture with the main components. Second, the most important benefits are highlighted and compared to other state-of-the-art approaches. Finally, preliminary experiences with our proof-of-concept prototypes are presented.
The Cardiovascular System in Severe Sepsis: Insight From a Cardiovascular Simulator (2022)

Bronicki, Ronald A. MD; Tume, Sebastian C. MD; Flores, Saul MD; Loomba, Rohit S.; Borges, Nirica M. MD; Penny, Daniel J. MD, PhD, MHA; Burkhoff, Daniel MD Author Information
Pass-Efficient Randomized LU Algorithms for Computing Low-Rank Matrix Approximation (2020)

Low-rank matrix approximation is extremely useful in the analysis of data that arises in scientific computing, engineering applications, and data science. However, as data sizes grow, traditional low-rank matrix approximation methods, such as SVD and CPQR, are either prohibitively expensive or cannot provide sufficiently accurate results. A solution is to use randomized low-rank matrix approximation methods such as randomized SVD , and randomized LU decomposition on extremely large data sets. In this paper, we focus on the randomized LU decomposition method. First, we employ a reorthogonalization procedure to perform the power iteration of the existing randomized LU algorithm to compensate for the rounding errors caused by the power method. Then we propose a novel randomized LU algorithm, called PowerLU, for the fixed low-rank approximation problem. PowerLU allows for an arbitrary number of passes of the input matrix, $v \geq 2$. Recall that the existing randomized LU decomposition only allows an even number of passes. We prove the theoretical relationship between PowerLU and the existing randomized LU. Numerical experiments show that our proposed PowerLU is generally faster than the existing randomized LU decomposition, while remaining accurate. We also propose a version of PowerLU, called PowerLU_FP, for the fixed precision low-rank matrix approximation problem. PowerLU_FP is based on an efficient blocked adaptive rank determination Algorithm 4.1 proposed in this paper. We present numerical experiments that show that PowerLU_FP can achieve almost the same accuracy and is faster than the randomized blocked QB algorithm by Martinsson and Voronin. We finally propose a single-pass algorithm based on LU factorization. Tests show that the accuracy of our single-pass algorithm is comparable with the existing single-pass algorithms.
Bayesian Sampling Using Stochastic Gradient Thermostats (2014)

Dynamics-based sampling methods, such as Hybrid Monte Carlo (HMC) and Langevin dynamics (LD), are commonly used to sample target distributions. Re-cently, such approaches have been combined with stochastic gradient techniques to increase sampling efficiency when dealing with large datasets. An outstanding problem with this approach is that the stochastic gradient introduces an unknown amount of noise which can prevent proper sampling after discretization. To rem-edy this problem, we show that one can leverage a small number of additional variables to stabilize momentum fluctuations induced by the unknown noise. Our method is inspired by the idea of a thermostat in statistical physics and is justified by a general theory. 1
Method for the Preparation of Nonracemic Bis‐Cyclometalated Iridium(III) Complexes (2013)

Abstract Invited for the cover of this issue is the team of Prof. Meggers. The cover image shows the Λ and Δ enantiomers of a bis‐cyclometalated iridium(III) complex and their corresponding mirror‐imaged CD spectra.
Total Syntheses Supramolecular Style: Solid-State Construction of [2.2]Cyclophanes with Modular Control of Stereochemistry (2020)

A series of templated solid-state reactions are used to construct the ‘bent’ isomer of the [2.2]cyclophane family of molecules. Small-molecule hydrogen-bond-donor templates based on resorcinol complete the supramolecular construction of ortho-, meta-, and para-[2.2]cyclophanes in the solid state. The family of exo,exo-dicyclobutyl[2.2]cyclophanes forms regiospecifically in up to quantitative yields. The confines of the organic solid state and the modular nature of the template approach allow for the generation of a less stable exo,endo-[2.2]metacyclophane by simply changing the template to enforce a concomitant change in self-assembly. Our results demonstrate the first completed solid-state construction of each member of the family of [2.2]cyclophanes.
2,3-Dehydrosilybin Is a Better DNA Topoisomerase I Inhibitor than Its Parental Silybin (2008)

DHS is a potent topo I inhibitor rendering its ability to sensitize TNF-alpha for enhanced cytotoxicity.
Towards batched linear solvers on accelerated hardware platforms (2015)

As hardware evolves, an increasingly effective approach to develop energy efficient, high-performance solvers, is to design them to work on many small and independent problems. Indeed, many applications already need this functionality, especially for GPUs, which are known to be currently about four to five times more energy efficient than multicore CPUs for every floating-point operation. In this paper, we describe the development of the main one-sided factorizations: LU, QR, and Cholesky; that are needed for a set of small dense matrices to work in parallel. We refer to such algorithms as batched factorizations. Our approach is based on representing the algorithms as a sequence of batched BLAS routines for GPU-contained execution. Note that this is similar in functionality to the LAPACK and the hybrid MAGMA algorithms for large-matrix factorizations. But it is different from a straightforward approach, whereby each of GPU's symmetric multiprocessors factorizes a single problem at a time. We illustrate how our performance analysis together with the profiling and tracing tools guided the development of batched factorizations to achieve up to 2-fold speedup and 3-fold better energy efficiency compared to our highly optimized batched CPU implementations based on the MKL library on a two-sockets, Intel Sandy Bridge server. Compared to a batched LU factorization featured in the NVIDIA's CUBLAS library for GPUs, we achieves up to 2.5-fold speedup on the K40 GPU.
In-line evaluation of average particle size in styrene suspension polymerizations using near-infrared spectroscopy (1998)

The main objective of this article is evaluating the influence of average polystyrene particle size upon the near-infrared (NIR) spectra collected during suspension polymerization experiments and observing whether NIR spectroscopy may be used for in-line monitoring and control of average particle size. It is shown that NIR spectra are sensitive to changes of the average particle size, and that standard empirical models (PLS—partial least squares—and NN—neural networks) may be built to correlate average particle size and light absorbance at certain wavelengths fairly well. Finally, it is shown that these models allow the in-line evaluation of average particle size in styrene suspension polymerizations with NIR spectroscopy. © 1998 John Wiley & Sons, Inc. J Appl Polym Sci 70: 1737–1745, 1998
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation (2014)

In this work, we propose a novel and efficient method for articulated human pose estimation in videos using a convolutional network architecture, which incorporates both color and motion features. We propose a new human body pose dataset, FLIC-motion, that extends the FLIC dataset with additional motion features. We apply our architecture to this dataset and report significantly better performance than current state-of-the-art pose detection systems.
Numerical integral method for diffusion modeling (1991)

The authors present a numerically efficient mathematical approach, the numerical integral method, for diffusion modeling. This method extends the boundary integral methods to solve linear and nonlinear diffusion problems with physically based diffusivity models to account for concentration-dependent effects, oxidizing ambient effects, electric field effects, etc. The algorithm for solving nonlinear diffusion problems and its implementation in a computer program are described. Results from example problems are shown. This new numerical method provides the potential for achieving a diffusion simulation which is computationally efficient, numerically stable, and sufficiently accurate in an engineering environment. Such an efficient and yet accurate diffusion simulation is especially important in statistical simulation of VLSI processes.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>