gebhart/patrepeval huggingface dataset:
Mutations of the MEN1 tumor suppressor gene in pituitary tumors. (1997)

Although pituitary adenomas are monoclonal proliferations, somatic mutations involving genes that govern cell proliferation or hormone production have been difficult to identify. The genetic etiology of most pituitary tumors, therefore, remains unknown. Pituitary adenomas can develop sporadically or as a part of multiple endocrine neoplasia type 1 (MEN1). Recently, the gene responsible for MEN1 was cloned. To elucidate the potential etiological role of the MEN1 gene in pituitary tumorigenesis, 39 sporadic pituitary adenomas from 38 patients and 1 pituitary adenoma from a familial MEN1 patient were examined for MEN1 gene mutations and allelic deletions. Four of 39 sporadic pituitary adenomas showed a deletion of one copy of the MEN1 gene, and a specific MEN1 gene mutation in the remaining gene copy was detected in 2 of these tumors. The corresponding germ-line sequence was normal in all sporadic cases. A specific MEN1 mutation was detected in a pituitary adenoma and corresponding germ-line DNA in a patient with familial MEN1. An allelic deletion of the remaining copy of the MEN1 gene was also found in the patient's tumor. Genetic alterations of the MEN1 gene represent a candidate pathogenetic mechanism of pituitary tumorigenesis. The data suggest that somatic MEN1 gene mutations and deletions play a causative role in the development of a subgroup of sporadic pituitary adenomas.
Compact, high-extinction waveguide polarizers that use localized surface plasmons (1992)

We report a new type of waveguide polarizer that utilizes surface plasmon modes localized in nanometer-size silver particles to polarize light. Polarization is due to selective excitation of a lossy surface plasmon mode in the silver. Planar waveguides have been fabricated by a K(+)-Na(+) ion-exchange process in a glass composite containing elongated silver particles. Both TE- and TM-pass polarizers have been fabricated with extinction ratios of >50 dB/100 microm at 836 nm. Propagation losses for the pass axis were <0.2 dB/100 microm. The polarizing properties are modeled by an effective medium theory.
Altered Secretory Activity of APE1/Ref-1 D148E Variants Identified in Human Patients With Bladder Cancer (2016)

Taken together, our data suggest that the increased secretory activity of D148E might contribute to increased serum levels of APE1/Ref-1 in patients with bladder cancer.
Communication Enabled—Fast Acting Imbalance Reserve (CE-FAIR) (2017)

This letter presents a new frequency control strategy that takes advantage of communications and fast responding resources such as photovoltaic generation, energy storage, wind generation, and demand response, termed collectively as converter interfaced generators (CIGs). The proposed approach uses an active monitoring of power imbalances to rapidly redispatch CIGs. This approach differs from previously proposed frequency control schemes in that it employs feed-forward control based on a measured power imbalance rather than relying on a frequency measurement. Time-domain simulations of the full Western Electricity Coordinating Council system are conducted to demonstrate the effectiveness of the proposed method, showing improved performance.
Compressive Video Sensing: Algorithms, architectures, and applications (2017)

The design of conventional sensors is based primarily on the Shannon?Nyquist sampling theorem, which states that a signal of bandwidth W Hz is fully determined by its discrete time samples provided the sampling rate exceeds 2 W samples per second. For discrete time signals, the Shannon?Nyquist theorem has a very simple interpretation: the number of data samples must be at least as large as the dimensionality of the signal being sampled and recovered. This important result enables signal processing in the discrete time domain without any loss of information. However, in an increasing number of applications, the Shannon-Nyquist sampling theorem dictates an unnecessary and often prohibitively high sampling rate (see "What Is the Nyquist Rate of a Video Signal?"). As a motivating example, the high resolution of the image sensor hardware in modern cameras reflects the large amount of data sensed to capture an image. A 10-megapixel camera, in effect, takes 10 million measurements of the scene. Yet, almost immediately after acquisition, redundancies in the image are exploited to compress the acquired data significantly, often at compression ratios of 100:1 for visualization and even higher for detection and classification tasks. This example suggests immense wastage in the overall design of conventional cameras.
Vasculoprotective Effects of Apolipoprotein Mimetic Peptides: An Evolving Paradigm in HDL Therapy (2009)

Anti-atherogenic effects of high density lipoprotein (HDL) and its major protein component apolipoprotein A-I (apoA-I) are principally thought to be due to their ability to mediate reverse cholesterol transport. These agents also possess anti-oxidant properties that prevent the oxidative modification of low density lipoprotein (LDL) and anti-inflammatory properties that include inhibition of endothelial cell adhesion molecule expression. Results of the Framingham study revealed that a reduction in HDL levels is an independent risk factor for coronary artery disease (CAD). Accordingly, there has been considerable interest in developing new therapies that specifically elevate HDL cholesterol. However, recent evidence suggests that increasing circulating HDL cholesterol levels alone is not sufficient as a mode of HDL therapy. Rather, therapeutic approaches that increase the functional properties of HDL may be superior to simply raising the levels of HDL per se. Our laboratory has pioneered the development of synthetic, apolipoprotein mimetic peptides which are structurally and functionally similar to apoA-I but possess unique structural homology to the lipid-associating domains of apoA-I. The apoA-I mimetic peptide 4F inhibits atherogenic lesion formation in murine models of atherosclerosis. This effect is related to the ability of 4F to induce the formation of pre-β HDL particles that are enriched in apoA-I and paraoxonase. 4F also possesses anti-inflammatory and anti-oxidant properties that are independent of its effect on HDL quality per se. Recent studies suggest that 4F stimulates the expression of the antioxidant enzymes heme oxygenase and superoxide dismutase and inhibits superoxide anion formation in blood vessels of diabetic, hypercholesterolemic and sickle cell disease mice. The goal of this review is to discuss HDL-dependent and -independent mechanisms by which apoA-I mimetic peptides reduce vascular injury in experimental animal models.
Negative differential resistance effects of trench-type InGaAs quantum-wire field-effect transistors with 50-nm gate-length (2003)

The effects of negative differential resistance (NDR) have been clearly observed in 50-nm-gate InGaAs/InAlAs trench-type quantum-wire (QWR) field-effect transistors (FETs), which are fabricated by atomic hydrogen-assisted molecular-beam epitaxy. The NDR onset voltage is as low as 0.1 V, and the highest peak-to-valley current ratio is 6.2 at 40 K. The equilateral symmetry of the NDR effect in a QWR FET is also observed. The pronounced NDR effects in a trench-type QWR FET are advantageous for high-speed and low power-consumption devices.
A Single Intravenous Injection of KRN5500 (Antibiotic Spicamycin) Produces Long-Term Decreases in Multiple Sensory Hypersensitivities in Neuropathic Pain (2003)

We examined the effect of a novel drug (KRN5500) on nerve damage pain. After the successful effects of this drug in a single human, we have shown that the drug infused as a single application at different doses in a rat model of nerve damage pain produces pain relief in this model for many weeks.
Hexagonal Boron Nitride and Graphite Oxide Reinforced Multifunctional Porous Cement Composites (2013)

Abstract The synthesis and characterization of multifunctional cement and concrete composites filled with hexagonal boron nitride (h‐BN) and graphite oxide (GO), is reported and their superior mechanical strength and oil adsorption properties compared to composites devoid of fillers are illustrated. GO is utilized to bridge the cement surfaces while h‐BN is used to mechanically reinforce the composites and adsorb the oil. Introduction of these fillers even at low filler weight fractions increases the compressive strength and toughness properties of pristine cement and of porous concrete significantly, while the porous composite concrete illustrates excellent ability for water separation and crude oil adsorption. Experimental results along with theoretical calculations show that such nanoengineered forms of cement based composites would enable the development of novel forms of multifunctional structural materials with a range of environmental applications.
Magnetic recording medium (1987)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Takamitsu Asai, Masaaki Fujiyama; Magnetic recording medium. J. Acoust. Soc. Am. 1 November 1987; 82 (5): 1871. https://doi.org/10.1121/1.395671 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAcoustical Society of AmericaThe Journal of the Acoustical Society of America Search Advanced Search |Citation Search
Analysis of color distortions in a transmission-type holographic screen (2005)

Full-color transmission-type holographic screens for displaying stereoscopic and multiview images suffer color distortions, especially at their edges. These distortions arise because the reconstructed image of the diffuser appears not at a specified location at different locations for different parts of the screen. Analysis shows that the diffuser strip, which is an object that records the screen, should be extended further in the photoplate direction than in the conventional position to remove the distortions and that use of a short-wavelength laser in the blue spectral region, along with extending the diffuser, is recommended for recording large-sized screens. The analysis also allows the largest sizes of screens that can be recorded for a given set of parameters to be calculated. A comparison of the quality of the images displayed on the screens recorded in the conventional position and in the newly developed position has shown distinctive improvements for the new position.
High-Performance and Tunable Stereo Reconstruction (2015)

Traditional stereo algorithms have focused their efforts on reconstruction quality and have largely avoided prioritizing for run time performance. Robots, on the other hand, require quick maneuverability and effective computation to observe its immediate environment and perform tasks within it. In this work, we propose a high-performance and tunable stereo disparity estimation method, with a peak frame-rate of 120Hz (VGA resolution, on a single CPU-thread), that can potentially enable robots to quickly reconstruct their immediate surroundings and maneuver at high-speeds. Our key contribution is a disparity estimation algorithm that iteratively approximates the scene depth via a piece-wise planar mesh from stereo imagery, with a fast depth validation step for semi-dense reconstruction. The mesh is initially seeded with sparsely matched keypoints, and is recursively tessellated and refined as needed (via a resampling stage), to provide the desired stereo disparity accuracy. The inherent simplicity and speed of our approach, with the ability to tune it to a desired reconstruction quality and runtime performance makes it a compelling solution for applications in high-speed vehicles.
Matrix–vector multiplication in thin photorefractive GaAs crystals (1988)

Optical matrix-vector multiplication using four-wave mixing in a thin photorefractive GaAs crystal is demonstrated. Using a thin wafer of GaAs offers the potential to integrate the encoding spatial light modulators directly on the wave-mixing medium.
Cobalt-Catalyzed Asymmetric Cyclopropanation of Electron-Deficient Olefins (2007)

The cobalt(II) complex of a D2-symmetric chiral porphyrin [Co(1)] is an effective catalyst for asymmetric cyclopropanation of electron-deficient olefins, including α,β-unsaturated esters, amides, ketones, and nitriles. Due to the absence of dimerization of diazo compounds, the catalytic reactions can be performed in one-pot protocol using olefins as the limiting reagent, forming the desired electrophilic cyclopropane derivatives in high yields and selectivities under mild conditions. In most cases, both excellent diastereo- and enantioselectivity were achieved.
Concurrent CO2 Control and O2 Generation for Advanced Life Support (2007)

The electrochemical reduction of carbon dioxide (CO2) using ceramic oxygen generators (COGs) is well known and widely studied, however, conventional devices using yttria-stabilized zirconia (YSZ) electrolytes operate at temperatures greater than 700 C. Operating at such high temperatures increases system mass compared to lower temperature systems because of increased energy overhead to get the COG up to operating temperature and the need for heavier insulation and/or heat exchangers to reduce the COG oxygen (O2) output temperature for comfortable inhalation. Recently, the University of Florida developed novel ceramic oxygen generators employing a bilayer electrolyte of gadolinia-doped ceria and erbia-stabilized bismuth for NASA's future exploration of Mars. To reduce landed mass and operation expenditures during the mission, in-situ resource utilization was proposed using these COGs to obtain both lifesupporting oxygen and oxidant/propellant fuel, by converting CO2 from the Mars atmosphere. The results showed that oxygen could be reliably produced from CO2 at temperatures as low as 400 C. These results indicate that this technology could be adapted to CO2 removal from a spacesuit and other applications in which CO2 removal was an issue. The strategy proposed for CO2 removal for advanced life support systems employs a catalytic layer combined with a COG so that it is reduced all the way to solid carbon and oxygen. Hence, a three-phased approach was used for the development of a viable low weight COG for CO2 removal. First, to reduce the COG operating temperature a high oxide ion conductivity electrolyte was developed. Second, to promote full CO2 reduction while avoiding the problem of carbon deposition on the COG cathode, novel cathodes and a removable catalytic carbon deposition layer were designed. Third, to improve efficiency, a pre-stage for CO2 absorption was used to concentrate CO2 from the exhalate before sending it to the COG. These subsystems were then integrated into a single CO2 removal system. This paper describes our progress to date on these tasks.
Improvement on turbo code decoder by updating redundant likelihood information (2005)

The paper presents a novel decoding algorithm for turbo codes, in which the likelihood values for redundant parts are updated in order that those values become more reliable. A criterion for updating the redundant likelihood values is proposed; it is based on comparisons of the channel values with the values re-generated by the soft-input and soft-output encoders. It is shown that the proposed method can improve the error correcting capabilities, i.e., the improvement of BER/BLER performance and the achievable BER limit.
Magnetometer Calibration for Portable Navigation Devices in Vehicles Using a Fast and Autonomous Technique (2014)

Using absolute navigation systems (such as global navigation satellite systems) has proved to be insufficient for indoor navigation or when navigating in urban canyons due to multipath and obstruction. This opened the gate widely for sensor-based navigation systems to be used, particularly after the development of low-cost microelectromechanical system sensors. Heading determination is one of the most important aspects for navigation solutions. Magnetometer is a low-cost sensor that can provide an absolute heading from magnetic north by sensing the Earth's magnetic field. Magnetometer readings are usually affected by magnetic fields, other than the Earth's magnetic field, and by other error sources; therefore, magnetometer calibration is required. In this paper, a technique is proposed for fast and automatic magnetometer calibration that requires small space coverage. There is no user involvement in the calibration process, and there are no required specific movements. The proposed technique performs 3-D-space magnetometer calibration using 2-D calibration equations with pitch and roll sectors. The 3-D-space is divided into a group of pitch and roll sectors. Inside each sector, 2-D calibration can be performed for the leveled magnetometer readings, which make the calibration process faster and requiring less data. This technique makes the magnetometer useful for determining heading in pseudo-tethered devices, particularly when used while driving. Pseudo-tethered navigation devices are tethered at normal operation, but they can change their orientation according to user needs such as portable vehicle navigation devices, which can be placed on the dashboard of a vehicle or attached to the wind shield.
Stable Tensor Neural Networks for Rapid Deep Learning (2018)

We propose a tensor neural network ($t$-NN) framework that offers an exciting new paradigm for designing neural networks with multidimensional (tensor) data. Our network architecture is based on the $t$-product (Kilmer and Martin, 2011), an algebraic formulation to multiply tensors via circulant convolution. In this $t$-product algebra, we interpret tensors as $t$-linear operators analogous to matrices as linear operators, and hence our framework inherits mimetic matrix properties. To exemplify the elegant, matrix-mimetic algebraic structure of our $t$-NNs, we expand on recent work (Haber and Ruthotto, 2017) which interprets deep neural networks as discretizations of non-linear differential equations and introduces stable neural networks which promote superior generalization. Motivated by this dynamic framework, we introduce a stable $t$-NN which facilitates more rapid learning because of its reduced, more powerful parameterization. Through our high-dimensional design, we create a more compact parameter space and extract multidimensional correlations otherwise latent in traditional algorithms. We further generalize our $t$-NN framework to a family of tensor-tensor products (Kernfeld, Kilmer, and Aeron, 2015) which still induce a matrix-mimetic algebraic structure. Through numerical experiments on the MNIST and CIFAR-10 datasets, we demonstrate the more powerful parameterizations and improved generalizability of stable $t$-NNs.
Nutrition Monitoring Application in the Food Industry (2002)

Nutrition scientists in the food industry use nutrition monitoring data in a variety of ways that include developing nutrition communications for consumers and health professionals, guiding product development and reformulation, and applying research applications. Continuous nutrition monitoring is essential to influence positively the nutrient content of the food supply and meet the changing nutrition needs of the population. This article reviews food industry application of nutrient intake information and provides specific examples of use.
A machine-independent debugger ? revisited (1999)

Most debuggers are notoriously machine-dependent, but some recent research prototypes achieve varying degrees of machine-independence with novel designs. Cdb, a simple source-level debugger for C, is completely independent of its target architecture. This independence is achieved by embedding symbol tables and debugging code in the target program, which costs both time and space. This paper describes a revised design and implementation of cdb that reduces the space cost by nearly one-half and the time cost by 13 per cent by storing symbol tables in external files. A symbol table is defined by a 31-line grammar in the Abstract Syntax Description Language (ASDL). ASDL is a domain-specific language for specifying tree data structures. The ASDL tools accept an ASDL grammar and generate code to construct, read, and write these data structures. Using ASDL automates implementing parts of the debugger, and the grammar documents the symbol table concisely. Using ASDL also suggested simplifications to the interface between the debugger and the target program. Perhaps most important, ASDL emphasizes that symbol tables are data structures, not file formats. Many of the pitfalls of working with low-level file formats can be avoided by focusing instead on high-level data structures and automating the implementation details. Copyright © 1999 John Wiley & Sons, Ltd.
Optical parametric oscillator based on four-wave mixing in microstructure fiber (2002)

We demonstrate, for the first time to our knowledge, optical parametric oscillation based on four-wave mixing in microstructure fiber. The measured wavelength-tunability range of the device (40 nm) and the threshold-pump peak power (34.4 W) are in good agreement with the theory of four-wave mixing in optical fibers. The ellipticity of the fiber's polarization modes allows the device to be implemented in a relatively simple Fabry-Perot configuration. Spectral peaks that are due to cascaded-mixing processes are easily observed in our setup, which may provide a way to extend the tunability range of existing high-power lasers.
Towards Knowledge-Augmented Visual Question Answering (2020)

Visual Question Answering (VQA) remains algorithmically challenging while it is effortless for humans. Humans combine visual observations with general and commonsense knowledge to answer a question about a given image. In this paper, we address the problem of incorporating general knowledge into VQA models while leveraging the visual information. We propose a model that captures the interactions between objects in a visual scene and entities in an external knowledge source. Our model is a graph-based approach that combines scene graphs with concept graphs, which learns a question-adaptive graph representation of related knowledge instances. We use Graph Attention Networks to set higher importance to key knowledge instances that are mostly relevant to each question. We exploit ConceptNet as the source of general knowledge and evaluate the performance of our model on the challenging OK-VQA dataset.
Multi-User MIMO Scheduling in the Fourth Generation Cellular Uplink (2011)

We consider Multi-User MIMO (MU-MIMO) scheduling in the 3GPP LTE-Advanced (3GPP LTE-A) cellular uplink. The 3GPP LTE-A uplink allows for precoded multi-stream (precoded MIMO) transmission from each scheduled user and also allows flexible multi-user (MU) scheduling wherein multiple users can be assigned the same time-frequency resource. However, exploiting these features is made challenging by certain practical constraints that have been imposed in order to maintain a low signaling overhead. We show that while the scheduling problem in the 3GPP LTE-A cellular uplink is NP-hard, it can be formulated as the maximization of a submodular set function subject to one matroid and multiple knapsack constraints. We then propose constant-factor polynomial-time approximation algorithms and demonstrate their superior performance via simulations.
High intensity 1.3-1.6μm luminescence from MBE grown GaInNAsSb (2003)

GaInNAs grown on GaAs substrates has been found to optically emit at wavelengths longer than previously possible on GaAs and may be promising as an active region for use in 1.3 and 1.55/spl mu/m optoelectronic devices. Adding small amounts of nitrogen to InGaAs pushes emission to even longer wavelengths and offsets the In lattice mismatch. Dilute nitride GaInNAs alloys grown on GaAs have quickly become an excellent candidate for lower cost 1.3-1.55/spl mu/m vertical cavity surface emitting lasers (VCSELs) and high power edge emitting lasers in the past few years.