gebhart/patrepeval huggingface dataset:
Design and Implementation of an Embedded FPGA Floating Point DSP Block (2015)

This paper describes the architecture and implementation, from both the standpoint of target applications as well as circuit design, of an FPGA DSP Block that can efficiently support both fixed and single precision (SP) floating-point (FP) arithmetic. Most contemporary FPGAs embed DSP blocks that provide simple multiply-add-based fixed-point arithmetic cores. Current FP arithmetic FPGA solutions make use of these hardened DSP resources, together with embedded memory blocks and soft logic resources, however, larger systems cannot be efficiently implemented due to the routing and soft logic limitations on the devices, resulting in significant area, performance, and power consumption penalties compared to ASIC implementations. In this paper we analyse earlier proposed embedded FP implementations, and show why they are not suitable for a production FPGA. We contrast these against our solution -- a unified DSP Block -- where (a) the SP FP multiplier is overlaid on the fixed point constructs, (b) the SP FP Adder/Subtracter is integrated as a separate unit, and (c) the multiplier and adder can be combined in a way that is both arithmetically useful, but also efficient in terms of FPGA routing density and congestion. In addition, a novel way of seamlessly combining any number of DSP Blocks in a low latency structure will be introduced. We will show that this new approach allows a low cost, low power, and high density FP platform on current production 20nm FPGAs. We also describe a future enhancement of the DSP block that can support subnormal numbers.
Abstract 570: PD-L1 expression in paired non-small cell lung cancer tumor samples (2015)

Abstract Background There is limited information on changes over time in programmed death ligand 1 (PD-L1) expression in non-small cell lung cancer (NSCLC). Methods PD-L1 expression was assessed in paired tumor samples collected at different time points from the same patient using a prototype immunohistochemistry (IHC) assay with the 22C3 antibody. PD-L1 strong and weak positivity were defined to be traceable to the 1% and 50% cutoffs used in the clinical trial version of the assay. Concordance of PD-L1 expression between samples was analyzed by treating the IHC proportional score as a continuous and categorical variable. Results 90 patients were included (73 from Korea, 17 from Denmark). 75% were male, 37% had squamous cell carcinoma, and 83% had stage I-IIIA disease. 97% of first samples and 53% of second samples were from lung. 89% and 63%, respectively, were surgical samples, with a median interval of 20.9 months (range, 0.1-94.0) between collection dates; 91% of paired samples were collected &gt;3 months apart. A significant correlation of the PD-L1 IHC proportional score was observed for the paired samples (Pearson correlation coefficient, 0.62; P &lt; 0.001). At the second time point, scores were identical in 39% of paired samples, higher in 32%, and lower in 29%. Of note, 12% of PD-L1-negative cases became positive and 20% of PD-L1-positive cases become negative at the second time point. The concordance rate was 56% (95% CI, 46%-67%) when PD-L1 expression was categorized as strong or weak positive or negative (Table). Conclusion Although a significant correlation of the PD-L1 IHC proportional score was observed, this preliminary analysis suggested a discordance rate of 44% between initial and subsequent NSCLC tumor samples when patients were categorized by PD-L1 expression level. Similar results were observed when analyzing paired melanoma samples. This discordance should be considered if PD-L1 expression is used for selection of enrollment in clinical trials. Table. Concordance of PD-L1 Expression in Paired NSCLC Samples (N = 90) Later Time PointPD-L1 ExpressionStrong positive, n (%)Weak positive, n (%)Negative, n (%)Earlier Time PointStrong positive3 (3)3 (3)1 (1)Weak positive7 (8)20 (22)17 (19)Negative011 (12)28 (31) Citation Format: Jhingook Kim, Steffen Filskov Sorensen, Yoon-La Choi, Zhen (Adelle) Wang, Jong-Mu Sun, Hyejoo Choi, Jeanette Baehr Georgsen, Marisa Dolled-Filhart, Kenneth Emancipator, Dianna Y. Wu, Peter Meldgaard, Wei Zhou, Henrik Hager. PD-L1 expression in paired non-small cell lung cancer tumor samples. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 570. doi:10.1158/1538-7445.AM2015-570
Performance Evaluation of Laser-Induced Breakdown Spectrometry as a Multimetal Continuous Emission Monitor (2001)

Laser-induced breakdown spectroscopy (LIBS) has been evaluated as a multimetal continuous emissions monitor (CEM) at the U.S. Environmental Protection Agency (EPA) rotary kiln incinerator simulator (RKIS) facility in Raleigh, NC. Two detection systems with a bifurcated optical fiber bundle were used for simultaneously monitoring the concentrations of Be, Cd, Cr, and Hg in the test. Two calibration techniques were evaluated in the laboratory for the field measurements. On-line calibration of relative metal concentration was also performed in the simulated incinerator gas stream. Toxic metal concentrations measured with LIBS have been compared with the EPA reference method (RM) results.
Objectively assessing underwater image quality for the purpose of automated restoration (2007)

In order to automatically enhance and restore images, especially those taken from underwater environments where scattering and absorption by the medium strongly influence the imaging results even within short distances, it is critical to have access to an objective measure of the quality of images obtained. This contribution presents an approach to measure the sharpness of an image based on the weighted gray-scale-angle (GSA) of detected edges. Images are first decomposed by a wavelet transform to remove random and part medium noises, to augment chances of true edge detection. Sharpness of each edge is then determined by regression to determine the slope between gray-scale values of edge pixels versus locations, which is the tangent of an angle based on grayscale. The overall sharpness of the image is the average of each measured GSAs, weighted by the ratio of the power of the first level decomposition details, to the total power of the image. Adaptive determination of edge widths is facilitated by values associated with image noise variances. To further remove the noise contamination, edge widths less than corresponding noise variances or regression requirement are discarded. Without losing generality while easily expandable, only horizontal edge widths are used in this study. Standard test images as well as those taken from field are used to be compared subjectively. Initial restoration results from field measured underwater images based on this approach and weakness of the metric are also presented and discussed.
Application of Bioimpedance Techniques to Peritoneal Dialysis (2006)

Peritoneal dialysis (PD) has been used as a home dialysis therapy for renal replacement for more than 30 years. In a recent assessment of treatment quality, the mortality of patients on PD was referenced as being higher than of those on hemodialysis. Several reports suggest that a high proportion of PD patients are overhydrated. Clinical assessment of dry weight in PD patients is difficult and further complicated by the paucity of signs and symptoms indicative of dehydration (such as intradialytic hypotension or muscle cramps). Monitoring tools used for fluid status estimation during hemodialysis, e.g. online blood volume and blood pressure measurement, are not readily available in PD patients. Bioimpedance analysis technique has been considered as a potential tool to measure body fluid non-invasively, inexpensively and simply. Although Bioimpedance analysis has been used in clinical studies for more than 20 years, the knowledge of the electrical properties of body tissues is still evolving. In this review we aim to clarify the principles of different bioimpedance techniques and to introduce their applications in PD patients.
Bispecific antibody process development: Assembly and purification of knob and hole bispecific antibodies (2017)

Production of knob and hole dual light chain bispecific antibodies poses several unique challenges for development of a feasible industrial scale manufacturing process. We developed an efficient process for the assembly and purification of knob and hole dual light chain bispecific antibodies. Two distinct half-antibodies targeting two different antigens were expressed separately in Escherichia coli cells and captured independently using Protein A chromatography. When combined, the knob and hole mutations in the CH3 domains promoted heterodimer formation. The hinge region disulfides were reduced and reoxidized to form the disulfide bridge between the two complementary half antibodies. Unreacted half antibodies, noncovalently linked homodimers, covalently linked homodimers, and noncovalently linked heterodimers are impurities closely related to the product of interest and are challenging to remove by standard processes. Characterization of the molecular properties of the half antibodies and high-throughput screening predicted column chromatography performance and allowed for rapid development of downstream purification steps for removal of unique product-related and process-related impurities. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:397-404, 2018.
Three-dimensional reconstruction algorithm for a reverse geometry volumetric CT system with a large-array scanned source (2003)

We have proposed a CT system design to rapidly produce volumetric images with negligible cone beam artifacts. The investigated system uses a large array scanned source with a smaller array of fast detectors. The x-ray source is electronically steered across a 2D target every few milliseconds as the system rotates. The proposed reconstruction algorithm for this system is a modified 3D filtered backprojection method. The data are rebinned into 2D parallel ray projections, most of which are tilted with respect to the axis of rotation. Each projection is filtered with a 2D kernel and backprojected onto the desired image matrix. To ensure adequate spatial resolution and low artifact level, we rebin the data onto an array that has sufficiently fine spatial and angular sampling. Due to finite sampling in the real system, some of the rebinned projections will be sparse, but we hypothesize that the large number of views will compensate for the data missing in a particular view. Preliminary results using simulated data with the expected discrete sampling of the source and detector arrays suggest that high resolution (<0.5 mm in all directions) images can be obtained in a single rotation with the proposed system and reconstruction algorithm.
An improved synthesis of polyacetylene (1985)

Ring-opening metathesis polymerization of 3,6-bis(trifluoromethyl)pentacyclo[6.2.0.02,4.03,6.05,7]dec-9-ene gives a soluble polymer which is stable at room temperature and is converted into hexafluoroxylene and polyacetylene on heating.
Tongue drive: a tongue operated magnetic sensor based wireless assistive technology for people with severe disabilities (2006)

The "tongue drive" system is a tongue-operated assistive technology developed for people with severe disability to control their environment. The tongue is considered an excellent appendage in severely disabled people for operating an assistive device. Tongue Drive consists of an array of Hall-effect magnetic sensors mounted on a dental retainer on the outer side of the teeth to measure the magnetic field generated by a small permanent magnet secured on the tongue. The sensor signals are transmitted across a wireless link and processed to control the movements of a cursor on a computer screen or to operate a powered wheelchair, a phone, or other equipments. The principal advantage of this technology is the possibility of capturing a large variety of tongue movements by processing a combination of sensor outputs. This would provide the user with a smooth proportional control as opposed to a switch based on/off control that is the basis of most existing technologies. We modeled the effects of position and orientation of the permanent magnet on the sensors in FEMLAB and experimentally measured them. We built a prototype system using off-the-shelf components and tested it successfully by developing a graphical user interface (GUI) in LabVIEW environment. A small battery powered wireless mouthpiece with no external component is under development
Identification of potential cell‐surface proteins in <i>Candida albicans</i> and investigation of the role of a putative cell‐surface glycosidase in adhesion and virulence (2004)

Cell-surface proteins are attractive targets for the development of novel antifungals as they are more accessible to drugs than are intracellular targets. By using a computational biology approach, we identified 180 potential cell-surface proteins in Candida albicans, including the known cell-surface adhesin Als1 and other cell-surface antigens, such as Pra1 and Csa1. Six proteins (named Csf1-6 for cell-surface factors) were selected for further biological characterization. First, we verified that the selected CSF genes are expressed in the yeast and/or hyphal form and then we investigated the effect of the loss of each CSF gene on cell-wall integrity, filamentation, adhesion to mammalian cells and virulence. As a result, we identified Csf4, a putative glycosidase with an apparent orthologue in Saccharomyces cerevisiae (Utr2), as an important factor for cell-wall integrity and maintenance. Interestingly, deletion of CSF4 also resulted in a defect in filamentation, a reduction in adherence to mammalian cells in an in vitro adhesion assay, and a prolongation of survival in an immunocompetent mouse model of disseminated candidiasis. A delay in colonization of key organs (e.g. kidney) was also observed, which is consistent with a reduction in virulence of the csf4-deletion strain. These data indicate a key role for extracellular glycosidases in fungal pathogenesis and represent a new site for therapeutic intervention to cure and prevent fungal disease.
Concept, modeling, and fabrication techniques for large-stroke piezoelectric unimorph deformable mirrors (2003)

Large-stroke micromachined deformable mirror technology can boost the imaging performance of an otherwise non-rigid, lower-quality telescope structure. The proposed deformable mirror concept in this paper combines a microfabricated large-stroke piezoelectric actuator with a reflective membrane “transferred” in its entirety from a separate wafer. This process allows the large-stroke actuation of the continuous membrane and can provide the necessary large wavefront correction. The micromachined deformable mirror approach allows mass-production of actuators as well as scalable structures with, high actuator densities. The piezoelectric unimorph actuator design approach delivers large actuator stroke with a highly localized influence function, while maintaining a surface figure of optical quality. Both of these component fabrication techniques are easily scaled to accommodate deformable mirrors with very large areas.
Load Resistance Characteristics of LiNbO<sub>3</sub> Piezoelectric Transformers (1992)

We studied a single crystal LiNbO 3 piezoelectric transformer composed of 140° rotated Y plate that uses the piezoelectric transverse effect and longitudinal vibration. When driven with a constant voltage, the dependence of the voltage transformation ratio depends remarkably on load resistance. When the load resistance is above about 10 kΩ, the voltage ratio increases in proportion to load resistance in an ideal case. The transmission characteristics we measured closely match the calculated value when the elastic loss at the support and the floating capacitance of the electrodes are considered.
Unsupervised discovery of multilevel statistical video structures using hierarchical hidden Markov models (2003)

Structure elements in a time sequence (e.g. video) are repetitive segments with consistent deterministic or stochastic characteristics. While most existing work in detecting structures follows a supervised paradigm, we propose a fully unsupervised statistical solution in this paper. We present a unified approach to structure discovery from long video sequences as simultaneously finding the statistical descriptions of structure and locating segments that matches the descriptions. We model the multilevel statistical structure as hierarchical hidden Markov models, and present efficient algorithms for learning both the parameters and the model structure. When tested on a specific domain, soccer video, the unsupervised learning scheme achieves very promising results: it automatically discovers the statistical descriptions of high-level structures, and at the same time achieves even slightly better accuracy in detecting discovered structures in unlabelled videos than a supervised approach designed with domain knowledge and trained with comparable hidden Markov models.
New dielectric method for the measurement of physical adsorption of gases at high pressure (1987)

A new method for the measurement of gas adsorption at high pressure is described in detail. The method is based on dielectric virial coefficients and it takes advantage of the dielectric technique for the accurate measurement of the compressibility factor of gases at high pressure. The method is simple, self-sufficient, easy to use, and permits precise measurement of the density of nonideal gases. Adsorption measurements of methane on BPL-activated carbon as a function of pressure at 25 °C are reported.
Spatiotemporal Representations of Rapid Visual Target Detection: A Single-Trial EEG Classification Algorithm (2013)

Brain computer interface applications, developed for both healthy and clinical populations, critically depend on decoding brain activity in single trials. The goal of the present study was to detect distinctive spatiotemporal brain patterns within a set of event related responses. We introduce a novel classification algorithm, the spatially weighted FLD-PCA (SWFP), which is based on a two-step linear classification of event-related responses, using fisher linear discriminant (FLD) classifier and principal component analysis (PCA) for dimensionality reduction. As a benchmark algorithm, we consider the hierarchical discriminant component Analysis (HDCA), introduced by Parra, et al. 2007. We also consider a modified version of the HDCA, namely the hierarchical discriminant principal component analysis algorithm (HDPCA). We compare single-trial classification accuracies of all the three algorithms, each applied to detect target images within a rapid serial visual presentation (RSVP, 10 Hz) of images from five different object categories, based on single-trial brain responses. We find a systematic superiority of our classification algorithm in the tested paradigm. Additionally, HDPCA significantly increases classification accuracies compared to the HDCA. Finally, we show that presenting several repetitions of the same image exemplars improve accuracy, and thus may be important in cases where high accuracy is crucial.
Full-color tomographic imaging by full-field optical coherence tomography (2004)

A full-field optical coherence microscopy generates tomographic 3D representation of the object by combining quadrature phase-shifted interference images. Full-color rendering of the 3D object is obtained by illumination using red, green and blue LEDs. The principle is demonstrated in colored tomographic imaging of artificial as well as biological target objects.
Target compound layer formation during reactive sputtering (1999)

It is well known that a compound layer may form at the target surface during reactive sputtering. However, the significance of this layer for the response to a change in target conditions has so far not been carefully investigated. The standard model for the reactive sputtering process [S. Berg et al., J. Vac. Sci. Technol. A 5, 202 (1987)] does not allow for calculations of the compound thickness at the target surface. For simplicity it has been assumed that a single monolayer is responsible for the poisoning of the target. However, experiments clearly indicate that the compound layer thickness may be significantly thicker than one monolayer. For several reasons it is important to be able to quantify the thickness of this layer. The formation of the compound layer introduces memory effects into the system when the processing conditions are changed. The sputter erosion time for the compound layer depends on its thickness. We will present an extension of the basic reactive sputtering model that allows for the formation of an arbitrary thickness of the compound layer at the target surface. From this model it is possible to examine the layer thickness dependence on the major processing parameters (reactive gas supply, target current, etc.). Experimental studies of the transient target voltage and process pressure support the validity of the new model.
<title>Fiber optic measurement of high hydrostatic pressure with cholesteric liquid crystals</title> (1993)

The paper presents the fiber-optic method for measurement of high hydrostatic pressure applied to a sensing element comprising a cholesteric liquid crystal (ChLC) being connected to multimode optical fibers for communication with a light source and a device for measurement of light intensity. The method exploiting the effect of pressure-induced changes in the wavelength of maximum light reflection observed in ChLCs resides in guiding a light beam of predetermined wavelength generated by the light source toward a layer of the ChLC using one of the multimode optical fibers. The light beam reflected by the layer is collected using another of the multimode optical fibers being connected to the device for measurement of light intensity. This method is particularly well adapted for measuring pressure up to 100 MPa with a good linear response and sensitivity for specific ranges of pressure useful in industrial applications. The results obtained indicate that a fiber-optic sensing device based on this method has pressure coefficient two orders of magnitude higher than current high-pressure sensors. The paper also discusses possible approaches towards the temperature desensitization procedure of the fiber-optic method of pressure measurement.
Graft‐Copolymer‐Based Approach to Clear, Durable, and Anti‐Smudge Polyurethane Coatings (2015)

Clear anti-smudge coatings with a thickness of up to tens of micrometers have been prepared through a graft-copolymer-based approach from commercial precursors. The coatings repel water, diiodomethane, hexadecane, ink, and an artificial fingerprint liquid. In addition, they can be readily applied onto different substrates using different coating methods. These coatings could find applications in protecting hand-held electronic devices from fingerprints, windows from stains, and buildings from graffiti.
Interaction between hamartin and tuberin, the TSC1 and TSC2 gene products (1998)

Tuberous sclerosis (TSC) is an autosomal dominant disorder caused by a mutation in either the TSC1 or TSC2 tumour suppressor gene. The disease is characterized by a broad phenotypic spectrum that can include seizures, mental retardation, renal dysfunction and dermatological abnormalities. TSC2 encodes tuberin, a putative GTPase activating protein for rap1 and rab5. The TSC1 gene was recently identified and codes for hamartin, a novel protein with no significant homology to tuberin or any other known vertebrate protein. Here, we show that hamartin and tuberin associate physically in vivo and that the interaction is mediated by predicted coiled-coil domains. Our data suggest that hamartin and tuberin function in the same complex rather than in separate pathways.