gebhart/patrepeval huggingface dataset:
The Discrete Probability Density Method for Emitter Geolocation (2006)

The discrete probability density (DPD) method is a novel technique for fusing sensor data by numerically combining the probability density function (PDF) representing the error estimate of each measured value. This paper describes the sampling of multiple PDFs at common discrete intervals to calculate a joint discrete probability density distribution. This concept is extended into multi-dimensional space to combine sensor measurements taken from different locations by projecting each PDF onto an array of sample points. The joint product is calculated at each point to produce a discrete probability density distribution representing the fused result. The DPD method is applied to emitter geolocation using line-of-bearing (LOB) measurements and compared to Stansfield's method and the Cramer-Rao lower bound using Monte-Carlo simulation. It is found that the DPD method performs better than Stansfield's method in the presence of large bias errors, especially for large number of LOBs
Simulation and optimization for construction repetitive projects using promodel and SimRunner (2008)

We introduce a new approach, called Relative Start and Idle Time (RSIT), to solve probabilistic scheduling problems of construction repetitive projects. RSIT is a process of determining a range of input variables and employing optimization through simulation to solve scheduling problems. RSIT reduces the modeler?s effort because it does not heavily rely on manual trial-and-error. The two primary advantages of this approach are: (1) it does not require additional solving algorithm code and (2) it does not impose unnecessary limitations on the simulation model in order to solve the scheduling problem. The new approach is presented in detail and applied to a real past repetitive project of four four-story buildings. Results from RSIT are evaluated and compared to the results from a deterministic approach. The example is modeled in Pro-Model and optimized in SimRunner.
Randomized Phase II Trial of Matrix Metalloproteinase Inhibitor COL-3 in AIDS-Related Kaposi's Sarcoma: An AIDS Malignancy Consortium Study (2006)

COL-3, when administered as 50 mg/d, is both active and well tolerated in the treatment of AIDS-related KS. COL-3 is a promising agent for the treatment of this opportunistic neoplasm of AIDS.
The effect of a constraining metal tube on flux pinning induced stress in a long cylindrical superconductor (2012)

The use of an alloy tube to impose pressure on a superconducting cylinder during magnetizing reduces pinning-induced tensile stress in high temperature superconductors has been well established. In this paper the natural contact state between the superconducting cylinder and the metal tube is modeled. An exact solution is obtained for the isotropic magnetoelastic problem with the superconductor behaving magnetically, and an expression for the contact pressure exerted on the superconductor by the metal tube is obtained. This expression explicitly gives the contribution of the ratio of Young’s modulus of the superconductor to that of the metal and the ratio of the internal to external radii of the metal tube. The stress profile in the superconductor, subjected to the restriction of metal tube, with both field cooled activation and pulse field activation is analyzed in terms of the Bean critical-state model. The results show that the metal tube can prevent radial expansion of the superconductor and can reduce the maximum tension for field-cooled and pulsed-field activations. These results are important for the selection of materials as well as the optimization of sizes of the alloy tube.
Mutational Analysis of the <i>Saccharomyces cerevisiae ABD1</i> Gene: Cap Methyltransferase Activity Is Essential for Cell Growth (1996)

RNA (guanine-7-)-methyltransferase is the enzyme responsible for methylating the 5' cap structure of eukaryotic mRNA. The Saccharomyces cerevisiae enzyme is a 436-amino-acid protein encoded by the essential ABD1 gene. In this study, deletion and point mutations in ABD1 were tested for the ability to support growth of an abd1 null strain. Elimination of 109 amino acids from the N terminus had no effect on cell viability, whereas a more extensive N-terminal deletion of 155 residues was lethal, as was a C-terminal deletion of 55 amino acids. Alanine substitution mutations were introduced at eight conserved residues within a 206-amino-acid region of similarity between ABD1 and the methyltransferase domain of the vaccinia virus capping enzyme. ABD1 alleles H253A (encoding a substitution of alanine for histidine at position 253), T282A, E287A, E361A, and Y362A were viable, whereas G174A, D178A, and Y254A were either lethal or severely defective for growth. Alanine-substituted and amino-truncated ABD1 proteins were expressed in bacteria, purified, and tested for cap methyltransferase activity in vitro. Mutations that were viable in yeast cells had either no effect or only a moderate effect on the specific methyltransferase activity of the mutated ABD1 protein, whereas mutations that were deleterious in vivo yielded proteins that were catalytically defective in vitro. These findings substantiate for the first time the long-held presumption that cap methylation is an essential function in eukaryotic cells.
[Diagnosis of ornithine carbamoyl transferase deficiency and heterozygote detection with allopurinol loading test]. (1993)

Allopurinol test is a useful tool for the preliminary investigation of urea cycle function, avoiding the possible hyperammonemia caused by other test, and permitting extensive familial studies without hospitalization. It results more informative than the protein loading test.
Genetic studies in narcolepsy, a disorder affecting REM sleep (1999)

Narcolepsy is a disabling sleep disorder characterized by excessive daytime sleepiness and abnormal manifestations of rapid eye movement (REM) sleep including cataplexy, sleep paralysis, and hypnagogic hallucinations. It is known to be a complex disorder, with both genetic predisposition and environmental factors playing a role. In humans, susceptibility to narcolepsy is tightly associated with a specific HLA allele, DQB1*0602. In humans and canines, most cases are sporadic. In Doberman pinschers and Labrador retrievers, however, the disease is transmitted as an autosomal recessive gene canarc-1 with full penetrance. This gene is not linked with the dog leukocyte antigen complex, but is tightly linked with a marker with high homology to the human mu-switch immunoglobulin gene. We have isolated several genomic clones encompassing the canarc-1 marker and the variable heavy chain immunoglobulin region in canines. These have been partially sequenced and have been mapped onto specific dog chromosomes by fluorescence in situ hybridization (FISH). Our results indicate that the mu-switch-like marker is not part of the canine immunoglobulin machinery. We are continuing to extend the genomic contig using a newly developed canine BAC library and attempting to identify the corresponding human region of conserved synteny.
Magnetic resonance spectroscopy of <i>N</i>‐acetylaspartate in hypoxic–ischemic encephalopathy (1994)

Magnetic resonance imaging and water-suppressed proton magnetic resonance spectroscopic imaging were used to study N-acetylaspartate and other metabolites in a patient with severe hypoxic-ischemic encephalopathy. The N-acetylaspartate signal, a putative marker of neuronal density, was markedly reduced in the forebrain. The relative signal intensity of choline-containing metabolites, which are more abundant in astrocytes than neurons, was increased. These results support the hypothesis that water-suppressed proton magnetic resonance spectroscopic imaging measurements of N-acetylaspartate may be useful for noninvasive detection of selective neuronal loss in a variety of disease states in the human brain.
Scanning tunneling microscopy of GaAs multiple <i>pn</i> junctions (1992)

Scanning tunneling microscopy and spectroscopy is used to study GaAs multiple pn junction samples cleaved in ultrahigh vacuum. Direct topographic contrast over the pn junctions can be observed in the constant current imaging mode. The topographic height in the p-type regions appears much lower (by about 5 Å) than that in the n-type regions. Tunneling spectroscopy measurements show consistency with the assignment of the p- and n-type regions. We discuss a possible mechanism for the observed contrast.
Coherent Control of Low Loss Surface Polaritons (2008)

We propose fast all-optical control of surface polaritons by placing an electromagnetically induced transparency (EIT) medium at an interface between two materials. EIT provides longitudinal compression and a slow group velocity, while matching properties of the two materials at the interface provides strong transverse confinement. In particular, we show that an EIT medium near the interface between a dielectric and a negative-index metamaterial can establish tight longitudinal and transverse confinement plus extreme slowing of surface polaritons, in both transverse electric and transverse magnetic polarizations, while simultaneously avoiding losses.
FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics (2021)

Cellular-resolution connectomics is an ambitious research direction with the goal of generating comprehensive brain connectivity maps using high-throughput, nano-scale electron microscopy. One of the main challenges in connectomics research is developing scalable image analysis algorithms that require minimal user intervention. Deep learning has provided exceptional performance in image classification tasks in computer vision, leading to a recent explosion in popularity. Similarly, its application to connectomic analyses holds great promise. Here, we introduce a deep neural network architecture, FusionNet, with a focus on its application to accomplish automatic segmentation of neuronal structures in connectomics data. FusionNet combines recent advances in machine learning, such as semantic segmentation and residual neural networks, with summation-based skip connections. This results in a much deeper network architecture and improves segmentation accuracy. We demonstrate the performance of the proposed method by comparing it with several other popular electron microscopy segmentation methods. We further illustrate its flexibility through segmentation results for two different tasks: cell membrane segmentation and cell nucleus segmentation.
Audio-vision: sound on screen (1994)

The Audiovisual Contract Projections of Sound on Image The Three Listening Modes Beyond Sounds and Images Lines and Points: Horizontal and Vertical Perspectives on Audiovisual Relations The Audiovisual Scene The Real and the Rendered Phantom Audio-Vision Sound Film--Worthy of the Name Television, Video Art, Music Video Toward an Audiologovisual Poetics Introduction to Audiovisual Analysis
Development of a continuous process for metal accumulation by <i>Zoogloea ramigera</i> (1984)

Biomass, mainly consisting of an acidic polysaccharide produced by Zoogloea ramigera, has been used as an adsorbing agent in a continuous process for the recovery of metal. The adsorption of copper has been studied with respect to retention time, biomass concentration, and reaction pH, in order to determine the optimal conditions for copper recovery. The results indicate that the uptake of copper is rapid and efficient. About 0.17 g Cu is adsorbed per gram of biomass within 10 min. At high biomass concentrations, the total amount of copper removed from solution is high, but the specific amount of copper adsorbed to biomass is low. The biomass exhibits a higher adsorptive uptake at low concentrations.
‘Reinventing the wheel’ to advance the development of pain therapeutics (2020)

Chronic pain affects approximately one-third of the population worldwide. The primary goal of animal research is to understand the neural mechanisms underlying pain so better treatments can be developed. Despite an enormous investment in time and money, almost no novel treatments for pain have been developed. There are many factors that contribute to this lack of translation in drug development. The mismatch between the goals of drug development in animals (inhibition of pain-evoked responses) and treatment in humans (restoration of function) is a major problem. To solve this problem, a number of pain-depressed behavioral tests have been developed to assess changes in normal behavior in laboratory animals. The use of home cage wheel running as a pain assessment tool is especially useful in that it is easy to use, provides an objective measurement of the magnitude and duration of pain, and is a clinically relevant method to screen novel drugs. Pain depresses activity in humans and animals, and effective analgesic treatments restore activity. Unlike traditional pain-evoked tests (e.g., hot plate, tail flick, von Frey test), restoration of home cage wheel running evaluates treatments for both antinociceptive efficacy and the absence of disruptive side effects (e.g., sedation, paralysis, nausea). This article reviews the literature using wheel running to assess pain and makes the case for home cage wheel running as an effective and clinically relevant method to screen novel analgesics for therapeutic potential.
[Stromal fibroblasts of normal bone marrow in children]. (1990)

Reference values of the number and proliferation index (PI) of stromal fibroblasts in children have been presented: CFUf per 10(5) = 57.0 +/- 4.1; CFUf in 1 microliters = 85.4 +/- 8.1; PI = 1.7 +/- 0.05. It has been shown that the number of stromal fibroblasts increases in the prepubertal period, especially in girls. No relationship has been observed between CFUf and the number of platelets and megakaryocytes in the children investigated. Correlation has been established between the number of bone marrow clonogenic fibroblasts and the amount of myelokaryocytes and the number of granulocytic-macrophagal precursors in the bone marrow.
The wake of a wind turbine and its influence on sound propagation (2011)

The wake of a single wind turbine was measured with a Doppler wind lidar system during a night with a well developed low-level jet. Two meteorological microscale models with different model assumptions were applied to the same situation to generate consistent three-dimensional fields of wind components, turbulent kinetic energy and temperature. A three-dimensional ray-based sound particle model was used to simulate the propagation of the wind turbine noise into the downwind area. Two-dimensional sound propagation simulations were performed on the basis of the lidar measurements and three-dimensional simulations were based on the results of the meteorological models. Both meteorological models are capable of reproducing the main features of the measured wake flow. However, the results differ in many details from each other as well as from the lidar measurements. The acoustical model results show that the wake flow favours the sound propagation from the upper sources (aerodynamic noise at the wing tips near the crest of the rotor plane) towards the ground. The acoustical simulations also suggest a high sensitivity of the noise impact near the ground to differences between the simulated meteorological fields.
Quality Characterisation of Crude Oils by Partial Least Square Calibration of NIR Spectral Profiles (2000)

The correlation of near infrared (NIR) spectral profiles of crude oils with total boiling point (TBP) assay and density has been studied. Fourteen partial least square (PLS) models were calibrated by a training set of 110 samples. The developed NIR methods have reproducibility limits equivalent to the American Society for Testing and Materials (ASTM) reference procedures. Predictive accuracy of the models was estimated from the root mean square error of prediction ( RMSEP) using cross validation. The correlation coefficients were better than 0.98 in these calibrations indicating good model structure. Such a rapid, reliable and inexpensive quantitative method, which is sufficient to assess the potential quality of the crude oil, especially the product yield, is essential in today's competitive refining environment.
State-of-the-art in fundamental frequency tracking (2001)

Obtaining accurate fundamental frequency information from audio data is a hard problem, especially when, for example, sympathetic resonance of open strings in string instruments interfere with some harmonics of the main sound, when transitions are so fast that tracks of different harmonics are connected, or when the signal is polyphonic. Two kinds of knowledge are used. Firstly, the score of the music is used as a guide. This score information constrains signal processing systems. Secondly, these systems can take advantage also of the fact that other information, like the timing, the instrument and sometimes even the fingering is known. The usefulness of musical-knowledge-based signal processing systems is discussed. Our primary motivation of using knowledge in f0 tracking is to obtain reliable and precise fundamental frequency trajectories that can be used for the analysis and modeling of the vibrato shape. This idea can be useful for other computer music systems as well that need to track, for instance, the fundamental frequency in a live situation where score and timing information is available.
Carbon Dioxide Separation Technologies (2014)

The emission of carbon dioxide (CO2) from the burning of fossil fuels has been identified as the major contributor to global warming and climate change (International Panel on Climate Change,
[The deacclimatization symptom scores of 159 youth returning to the same plain from different plateau]. (2014)

Deacclimatization symptom scores were related to the plateau exposure time, altitude, workload, plateau continued exposure. The older, the longer exposure, the higher altitude, the greater workload at plateau were showed higher deacclimatization symptom score.
Pimarane-type Diterpenes: Antimicrobial Activity against Oral Pathogens (2009)

Seven pimarane type-diterpenes re-isolated from Viguiera arenaria Baker and two semi-synthetic pimarane derivatives were evaluated in vitro against the following main microorganisms responsible for dental caries: Streptococcus salivarius, S. sobrinus, S. mutans, S. mitis, S. sanguinis and Lactobacillus casei. The compounds ent-pimara-8(14),15-dien-19-oic acid (PA); ent-8(14),15-pimaradien-3beta-ol; ent-15-pimarene-8beta,19-diol; ent-8(14),15-pimaradien-3beta-acetoxy and the sodium salt derivative of PA were the most active compounds, displaying MIC values ranging from 2 to 8 microg mL(-1). Thus, this class of compounds seems promising as a class of new effective anticariogenic agents. Furthermore, our results also allow us to conclude that minor structural differences among these diterpenes significantly influence their antimicrobial activity, bringing new perspectives to the discovery of new natural compounds that could be employed in the development of oral care products.
Disease lesion mimics of maize: A model for cell death in plants (1995)

Abstract A class of maize mutants, collectively known as disease lesion mimics, display discrete disease‐like symptoms in the absence of pathogens. It is intriguing that a majority of these lesion mimics behave as dominant gain‐of‐function mutations. The production of lesions is strongly influenced by light, temperature, developmental state and genetic background. Presently, the biological significance of this lesion mimicry is not clear, although suggestions have been made that they may represent defects in the plants' recognition of, or response to, pathogens. One feature that is common to all lesion mimics is their association with cell death. In plants, as in animals, a number of developmental and pathological processes exist where controlled cell death, whether programmed or triggered in response to physiological or environmental stimuli, constitutes the normal aspect of life. Might disease lesion mimic mutations represent variants where regulation of desirable cell death has gone awry? In this paper we argue that this might be the case, and further conjecture that these mutants offer a unique opportunity for studying the genetic and cellular mechanisms of cell death in plants.
Bayesian unsupervised word segmentation with nested Pitman-Yor language modeling (2009)

In this paper, we propose a new Bayesian model for fully unsupervised word segmentation and an efficient blocked Gibbs sampler combined with dynamic programming for inference. Our model is a nested hierarchical Pitman-Yor language model, where Pitman-Yor spelling model is embedded in the word model. We confirmed that it significantly outperforms previous reported results in both phonetic transcripts and standard datasets for Chinese and Japanese word segmentation. Our model is also considered as a way to construct an accurate word n-gram language model directly from characters of arbitrary language, without any "word" indications.
Testing-Based Conceptual Schema Validation in a Model-Driven Environment (2017)

This thesis is the result of several years of hard work, during which I have received the professional and personal support of many people. My thanks to all of them. First of all, I would like to thank my thesis supervisors, Nelly Condori Fernndez, Tanja Vos and Oscar Pastor, for giving me the opportunity to work with and learn from them. To Nelly, my diary supervisor, thanks for the knowledge imparted on Requirements and Empirical Evaluation, for the time dedicated to discussing my doubts and advances, and demanding me to my utmost. To Tanja, for her guidance and support in the area of Testing, for her enthusiasm at all times. To Oscar, for believing in me from the beginning and pointing me in the right direction in the world of Model-driven
Amide proton transfer imaging of adult diffuse gliomas: correlation with histopathological grades (2013)

APT imaging can predict the histopathological grades of adult diffuse gliomas.
Fully digital alias‐free processing of sensor signals in a substantially enlarged frequency range (1997)

Addresses the problem of full digital processing of sensor signals at frequencies in the microwave and radio frequency range. Discusses advantages and drawbacks of the emerging digital alias‐free signal processing technology considering it as a new DSP tool prospective for achieving a breakthrough in DSP theory and techniques leading to a stepwise enlarging of the DSP application frequency range.
Introduction of Cu in CdS and its effect on CdTe solar cells (2005)

The use of copper during the fabrication of CdTe solar cells is a common feature for nearly all processing schemes developed for these devices. Copper is typically introduced in CdTe during the application of the back electrode, to enhance device performance by facilitating the formation of an ohmic back contact. However, Cu has also been associated with observed instability in CdTe. For this work, although Cu was utilized during the cell fabrication process, it was eliminated from the back contact formation step, and instead introduced in the CdS film prior to the deposition of the CdTe. The only fabrication step, where Cu was intentionally introduced, was subsequent to the CdS deposition. Both plain graphite and Sb/sub 2/Te/sub 3//Mo were used as back contacts. Solar cell results suggested that ohmic contacts to CdTe can be attained with undoped graphite as the back electrode. For devices contacted with plain graphite V/sub OC/'s and FF's in the range of 800-830 mV and 63-67% have been obtained. For Sb/sub 2/Te/sub 3/-contacted cells, the incorporation of Cu in CdS has lead to a significant increase in performance even though a back barrier was present in these cells.
Minimally-Supervised Extraction of Entities from Text Advertisements (2010)

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