gebhart/patrepeval huggingface dataset:
Prefilter (2008)

This paper presents the prefilter: a predicate pushdown framework for a Data Stream Management System (DSMS). Though early predicate evaluation is a well-known query optimization strategy, novel problems arise in a high-performance DSMS. In particular, (i) query invocation costs are high as compared to the cost of evaluating simple predicates that are often used in high-speed stream analysis; (ii) selectivity estimates may become inaccurate over time; and (iii) multiple queries, possibly containing common subexpressions, must be processed continuously. The prefilter addresses these issues by constructing appropriate predicates for early evaluation as soon as new data arrive and before any queries are invoked. It also compresses the bit vector representing the outcomes of pushed-down predicates over newly arrived tuples, and uses the compressed bitmap to efficiently check which queries do not have to be invoked. Using a set of network monitoring queries, we show that the performance of the Gigascope DSMS is significantly improved by the prefilter.
The BTK inhibitor ibrutinib may protect against pulmonary injury in COVID-19–infected patients (2020)

Treon et al provide early clinical data supporting a theoretical rationale for continuing ibrutinib in patients receiving the drug during COVID-19 illness.
IgA Deficiency Associated With Chronic Hepatitis C Virus Infection (1993)

The results of this study indicate that IgA deficiency is a risk factor for HCV infection in some patients, whereas in others it might be caused by the viral disease.
A Phase 1/2, Dose-Escalation Trial of Deferasirox for the Treatment of Iron Overload in HFE -Related Hereditary Hemochromatosis (2010)

Deferasirox doses of 5, 10, and 15 mg/kg/day can reduce iron burden in patients with HH. Based on the safety and efficacy results, starting deferasirox at 10 mg/kg/day appears to be most appropriate for further study in this patient population.
Efficient Grasp Planning and Execution With Multifingered Hands by Surface Fitting (2019)

This letter introduces a framework to plan grasps with multi-fingered hands. The framework includes a multi-dimensional iterative surface fitting (MDISF) for grasp planning and a grasp trajectory optimization (GTO) for grasp imagination. The MDISF algorithm searches for optimal contact regions and hand configurations by minimizing the collision and surface fitting error, and the GTO algorithm generates optimal finger trajectories to reach the highly ranked grasp configurations and avoid collision with the environment. The proposed grasp planning and imagination framework considers the collision avoidance and the kinematics of the hand-robot system, and is able to plan grasps and trajectories of different categories efficiently with gradient-based methods using the captured point cloud. The found grasps and trajectories are robust to sensing noises and underlying uncertainties. The effectiveness of the proposed framework is verified by both simulations and experiments.
An enhanced interference measurement scheme for CoMP in LTE-Advanced downlink (2013)

This paper proposes an enhanced interference measurement method that provides accurate channel quality indicators (CQIs) to improve the system performance in coordinated multi-point (CoMP) transmission and reception. In CoMP operations, user equipments (UEs) need to report different CQIs based on different interference hypotheses. Even though a variety of interference measurement schemes are proposed, they always suffer higher complexity, inaccuracy or restriction in terms of the number of available interference measurement resource (IMR) configurations. In the proposed method, phase rotations are introduced for channel state information reference signals (CSI-RSs) before mapping to the resource grid. Both theoretical analysis and simulation results show that the proposed method improves the accuracies of both signal estimation and interference measurement, and consequently yields accurate CQIs. Moreover, it can provide a large number of IMR configurations.
A novel neural model of cardiac action potential (2004)

This paper presents a novel neuron model for information processing in neural networks of the spike-neuron class. The model called hybrid biological neuron, HBN is trained to be an autonomous oscillator, thus is able to model cardiac action potentials and frequency of cardiac rhythmicity. The HBN is a new model that allows pulse trains to be interpreted on one hand as a logic function, and on the other hand as a continuous time system in which the pulse shape represents a second order modulation of the information not encoded in the patterns only. The HBN belongs to a spiking neuron class but models chemical synapses and considers the receptive field caused by the direct influence of other dendrites, specifically the ones that do not pass through the pre-synaptic filters.
Organization and Orientation of Amphiphilic Push−Pull Chromophores Deposited in Langmuir−Blodgett Monolayers Studied by Second Harmonic Generation and Atomic Force Microscopy (2004)

Orientation and organization of two amphiphilic push-pull chromophores mixed with two phospholipids (dipalmitoylphosphatidylcholine and dioleoylphosphatidylcholine) in Langmuir-Blodgett (LB) monolayers are investigated by second harmonic generation. The LB monolayers have also been characterized by atomic force microscopy and UV-vis spectroscopy. The effective molecular orientations and hyperpolarizabilities of the chromophores are studied as a function of the phospholipid concentrations. The experimental results are discussed within the frame of a model of orientational distribution of the chromophores which gives the orientational mean angle and bounds on the orientational disorder. The mean orientation of the chromophores is found to be within 45-55 degrees whereas their hyperpolarizability coefficients, measured with respect to quartz, are estimated to be in the range (0.3-0.7) x 10(-27) esu taking account of the maximal orientational disorder.
Fabrication of amorphous-carbon-nitride field emitters (1997)

To improve silicon field emitters, an amorphous-carbon-nitride (a-CN) coating was applied by helical resonator plasma-enhanced chemical vapor deposition. By this process, a-CN was very uniformly coated on silicon tips without any damage. Microstructural and electrical investigation of the silicon and a-CN coated field emitters were performed. a-CN coating lowered turn-on voltage and increased emission current. Negative electron affinity of carbon nitride is suggested for enhancing emission current.
Subcriticality Monitoring with a Digital Reactivity Meter (2003)

Feasibility of subcriticality monitoring with a digital reactivity meter was experimentally investigated using a sub-critical assembly. In the experiment, neutron detectors were placed in the reflector region where the neutron flux multiplied by the difference of the multiplication factor from unity is almost constant. The significant fluctuation of the neutron signal was filtered with a smoothing and a low-path filter of first order delay. In the subcritical system above with a constant neutron source, it was confirmed through the experiment that a digital reactivity meter with noise filtering module could give real time subcriticality when the detector was placed at appropriate positions. Based on the experiment, we have proved that the reactivity meter can be used for monitoring the subcriticality on a real time basis.
Ultra-low power data storage for sensor networks (2006)

Local storage is required in many sensor network applications, both for archival of detailed event information, as well as to overcome sensor platform memory constraints. While extensive measurement studies have been performed to highlight the trade-off between computation and communication in sensor networks, the role of storage has received little attention. The storage subsystems on currently available sensor platforms have not exploited technology trends, and consequently the energy cost of storage on these platforms is as high as that of communication. Current flash memories, however, offer a low-priced, high-capacity and extremely energy-efficient storage solution.In this paper, we perform a comprehensive evaluation of the active and sleep-mode energy consumption of available flash-based storage options for sensor platforms. Our results demonstrate more than a 100-fold decrease in per-byte energy consumption for surface-mount parallel NAND flash in comparison with the MicaZ on-board serial flash. In addition, this dramatically reduces storage energy costs relative to communication, introducing a new dimension in traditional computation vs communication trade-offs. Our results have significant ramifications on the design of sensor platforms as well as on the energy consumption of sensing applications. We quantify the potential energy gains for two commonly used sensor network services: communication and in-network data aggregation. Our measurements show significant improvements in each service: 50-fold and up to 10-fold reductions in energy for communication and data aggregation respectively.
Supplementary Figure 1 from Cooperative Activity of Cytotoxic Chemotherapy with Antiangiogenic Thrombospondin-I Peptides, ABT-526 in Pet Dogs with Relapsed Lymphoma (2023)

Supplementary Figure 1 from Cooperative Activity of Cytotoxic Chemotherapy with Antiangiogenic Thrombospondin-I Peptides, ABT-526 in Pet Dogs with Relapsed Lymphoma
Processing and Pore Morphology Control of Porous Metals by Powder Processing Route (2017)

ABSTRACT
Plasma viscosity, functional fibrinogen, and platelet reactivity in vascular surgery patients (2016)

PV is directly and independently associated with platelet reactivity, whereas functional fibrinogen is not. Aspirin treatment is inadequate to correct thrombin-induced platelet aggregation. In presence of hyperviscosity, patients at high cardiovascular risk, may benefit from more aggressive anti-platelet treatments.
Stimulation of protein tyrosine phosphorylation in human B cells after ligation of the beta 1 integrin VLA-4 (1993)

B lymphocytes express several adhesion molecules that are involved in cell-cell and cell-extracellular matrix interactions. The alpha 4 beta 1 integrin VLA-4, expressed on pre-B and mature/activated B cells, mediates adhesion of these cells to its two ligands, VCAM-1 and fibronectin. Recent evidence suggests that VLA-4 is involved in T lymphocyte activation; however, relatively little is known of the role of VLA-4 in B cell differentiation. To begin to assess the potential involvement of VLA-4 in B cell activation, we have examined the effect of ligation of VLA-4 on protein tyrosine phosphorylation in B cells. We found that cross-linking of VLA-4 by either mAb or natural ligands (i.e., VCAM-1 and the FN-40 cleavage fragment of fibronectin) induced the tyrosine phosphorylation of a 110-kDa protein in a human pre-B cell line (Nalm-6), an EBV-transformed B cell line (SB), and normal tonsillar B cells. These findings suggest that VLA-4 can activate a tyrosine kinase in B cells and B cell lines. These signals may be involved in the subsequent differentiation of pre-B and mature B cells within specific microenvironments where VLA-4 mediated adhesion is operational.
Identification of Amino Acids in HA and PB2 Critical for the Transmission of H5N1 Avian Influenza Viruses in a Mammalian Host (2009)

Since 2003, H5N1 influenza viruses have caused over 400 known cases of human infection with a mortality rate greater than 60%. Most of these cases resulted from direct contact with virus-contaminated poultry or poultry products. Although only limited human-to-human transmission has been reported to date, it is feared that efficient human-to-human transmission of H5N1 viruses has the potential to cause a pandemic of disastrous proportions. The genetic basis for H5N1 viral transmission among humans is largely unknown. In this study, we used guinea pigs as a mammalian model to study the transmission of six different H5N1 avian influenza viruses. We found that two viruses, A/duck/Guangxi/35/2001 (DKGX/35) and A/bar-headed goose/Qinghai/3/2005(BHGQH/05), were transmitted from inoculated animals to naïve contact animals. Our mutagenesis analysis revealed that the amino acid asparagine (Asn) at position 701 in the PB2 protein was a prerequisite for DKGX/35 transmission in guinea pigs. In addition, an amino acid change in the hemagglutinin (HA) protein (Thr160Ala), resulting in the loss of glycosylation at 158-160, was responsible for HA binding to sialylated glycans and was critical for H5N1 virus transmission in guinea pigs. These amino acids changes in PB2 and HA could serve as important molecular markers for assessing the pandemic potential of H5N1 field isolates.
Video Based X-Ray Computed Tomography (1986)

The capabilities of a video based x-ray imaging system are investigated for performing transaxial ccmputed tomography. The detector which was used in the present study was a 12.5" diameter flat screen optically coupled to a light amplifier tube with a photocathode diameter of 3". The output of the light amplifier was picked up by an isocon camera. The video projection images were digitized and stored in a computer for image reconstruction. A special aluminum field flattening filter was designed and used to reduce both the dynamic range and beam hardening problems. The spatial and density resolution capability as well as the uniformity of the images is discussed.
<title>High-speed super-resolution techniques for passive millimeter-wave imaging systems</title> (1994)

We present an improved regularized pseudo inverse method that can super-resolve passive imagery. The algorithm is a non-iterative technique that involves convolution operations in the spatial domain which allows an image to be processed in the frame time of the imager. Our method gives encouraging results, providing a significant increase in spatial resolution with only a small reduction in the final signal to noise ratio. Examples are given of the application of the technique to millimeter-wave (mm-wave) images and a comparison is made with other fast deconvolution methods and computer intensive super-resolution algorithms. Finally, a brief discussion is given of how high speed hardware is used to implement this algorithm.
NOSH-aspirin (NBS-1120), a novel nitric oxide and hydrogen sulfide releasing hybrid, attenuates neuroinflammation induced by microglial and astrocytic activation: A new candidate for treatment of neurodegenerative disorders (2013)

Hydrogen sulfide (H2 S) and nitric oxide (NO) have been described as gasotransmitters. Anti-inflammatory activity in the central and peripheral nervous systems may be one of their functions. Previously we demonstrated that several SH(-) donors including H2 S-releasing aspirin (S-ASA) exhibited anti-inflammatory and neuroprotective activity in vitro against toxins released by activated microglia and astrocytes. Here we report that NOSH-ASA, an NO- and H2 S-releasing hybrid of aspirin, has a significantly greater anti-inflammatory and neuroprotective effect than S-ASA or NO-ASA. When activated by LPS/IFNγ, human microglia and THP-1 cells release materials that are toxic to differentiated SH-SY5Y cells. These phenomena also occur with IFNγ-stimulated human astroglia and U373 cells. When the cells were treated with the S-ASA or NO-ASA, there was a significant enhancement of neuroprotection. However, NOSH-ASA had significantly more potent protection properties than NO-ASA or S-ASA. The effect was concentration-dependent, as well as incubation time-dependent. Such treatment not only reduced the release of the TNFα and IL-6, but also attenuated activation of P38 MAPK and NFκB proteins. All the compounds tested were not harmful when applied directly to SH-SY5Y cells. These data suggest that NOSH-ASA has significant anti-inflammatory properties and may be a new candidate for treating neurodegenerative disorders that have a prominent neuroinflammatory component such as Alzheimer disease and Parkinson disease.
VoiceLabel (2008)

Many mobile machine learning applications require collecting and labeling data, and a traditional GUI on a mobile device may not be an appropriate or viable method for this task. This paper presents an alternative approach to mobile labeling of sensor data called VoiceLabel. VoiceLabel consists of two components: (1) a speech-based data collection tool for mobile devices, and (2) a desktop tool for offline segmentation of recorded data and recognition of spoken labels. The desktop tool automatically analyzes the audio stream to find and recognize spoken labels, and then presents a multimodal interface for reviewing and correcting data labels using a combination of the audio stream, the system's analysis of that audio, and the corresponding mobile sensor data. A study with ten participants showed that VoiceLabel is a viable method for labeling mobile sensor data. VoiceLabel also illustrates several key features that inform the design of other data labeling tools.
Nanolayered Polymeric Gradient Refractive Index Optics (2014)

A nanolayered polymer films fabrication approach creating Gradient Refractive INdex (GRIN) lenses with designer RI distribution profiles is reviewed. Fabricated GRIN examples are presented demonstrating unparalleled RI profile design freedom and scalable optic size.
Characteristics of krypton ion emission from a gas field ionization source with a single atom tip (2017)

A scanning ion beam instrument equipped with a gas field ionization source (GFIS) has been commercialized, but only helium and neon are currently available as GFISs. The characteristics of krypton ion emission from a single atom tip (SAT) have not been reported yet. In this study, the characteristics of krypton ion emission were investigated by field ion microscopy. At 65 K, the krypton ion emission current reached approximately 40 pA, which is 1 order of magnitude higher than that at 130 K. As the krypton gas pressure was increased, the krypton ion current increased. At a pressure of 0.3 Pa, the emission current was anticipated to reach 200 pA, which may be high enough for nanofabrication. The variation of the krypton ion current was as low as 5% in one hour. We concluded that a krypton ion beam instrument equipped with a GFIS will be a powerful tool for nanofabrication.
Acute leptin deficiency, leptin resistance, and the physiologic response to leptin withdrawal (2005)

Food restriction and weight loss result in reduced plasma leptin, which is associated with a pleiotropic biologic response. However, because weight loss itself is also associated with changes in numerous other humoral and metabolic signals, it can be difficult to determine the precise features of the biologic response to acute leptin deficiency. To study this response in the absence of changes in nutritional state, we have developed a protocol that allows such analysis in normal, non-food-restricted animals. Wild-type mice are treated with high-dose leptin until fat mass is depleted and, as a consequence, endogenous leptin production is reduced. At this point, exogenous leptin is abruptly withdrawn, thus inducing a state of leptin deficiency in otherwise normal mice. Leptin deficiency is sustained by feeding the animals only as much as they consumed voluntarily before leptin withdrawal. The biologic response to leptin deficiency induced in this manner includes altered neuropeptide levels, decreased energy expenditure, and impaired reproductive and immune function. Replacement of leptin at physiological concentrations after withdrawal of high-dosage leptin blunts, but does not completely block, the hyperphagia and weight regain caused by acute leptin deficiency, nor does it correct the resulting reproductive and immune dysfunction. This suggests that high-dosage leptin treatment induces a state of partial leptin resistance. In aggregate, these studies establish the role of acute hypoleptinemia in regulating energy balance, the immune system, and reproductive function, and further suggest that high-dosage leptin treatment can induce a state of acquired leptin resistance.
Developing Scattering Morphology Resolved Total Internal Reflection Microscopy (SMR-TIRM) for Orientation Detection of Colloidal Ellipsoids (2020)

Micrometer scale colloidal particles experiencing ∼<i>kT</i> scale interactions and suspended in a fluid are relevant to a broad spectrum of applications. Often, colloidal particles are anisotropic, either by design or by nature. Yet, there are few techniques by which ∼<i>kT</i> scale interactions of anisotropic particles can be measured. Herein, we present the initial development of scattering morphology resolved total internal reflection microscopy (SMR-TIRM). The hypothesis of this work is that the morphology of light scattered by an anisotropic particle from an evanescent wave is a sensitive function of particle orientation. This hypothesis was tested with experiments and simulations mapping the scattered light from colloidal ellipsoids at systemically varied orientations. Scattering morphologies were first fitted with a two-dimensional (2D) Gaussian surface. The fitted morphology was parameterized by the morphology's orientation angle <i>M</i><sub>ϕ</sub> and aspect ratio <i>M</i><sub>AR</sub>. Data from both experiments and simulations show <i>M</i><sub>ϕ</sub> to be a function of the particle azimuthal angle, while <i>M</i><sub>AR</sub> was a sensitive function of the polar angle. This analysis shows that both azimuthal and polar angles of a colloidal ellipsoid could be resolved from scattering morphology as well or better than using bright-field microscopy. The integrated scattering intensity, which will be used for determining the separation distance, was also found to be a sensitive function of particle orientation. A procedure for interpreting these confounding effects was developed that in principle would uniquely determine the separation distance, the azimuthal angle, and the polar angle. Tracking these three quantities is necessary for calculating the potential energy landscape sampled by a colloidal ellipsoid.
COVID‐19 pandemic and health care disparities in head and neck cancer: Scanning the horizon (2020)

The COVID-19 pandemic has profoundly disrupted head and neck cancer (HNC) care delivery in ways that will likely persist long term. As we scan the horizon, this crisis has the potential to amplify preexisting racial/ethnic disparities for patients with HNC. Potential drivers of disparate HNC survival resulting from the pandemic include (a) differential access to telemedicine, timely diagnosis, and treatment; (b) implicit bias in initiatives to triage, prioritize, and schedule HNC-directed therapy; and (c) the marked changes in employment, health insurance, and dependent care. We present four strategies to mitigate these disparities: (a) collect detailed data on access to care by race/ethnicity, income, education, and community; (b) raise awareness of HNC disparities; (c) engage stakeholders in developing culturally appropriate solutions; and (d) ensure that surgical prioritization protocols minimize risk of racial/ethnic bias. Collectively, these measures address social determinants of health and the moral imperative to provide equitable, high-quality HNC care.
Model validation for structured uncertainty models (1998)

Model validation concerns the problem of determining if an observed data record is consistent with a given model with prescribed uncertainty bounds. We consider time-domain and frequency-domain validation of linear fractional transformation (LFT) uncertainty models with multiple uncertainty blocks. These structured uncertainty models serve as the basic model for H/sub /spl infin// and /spl mu/-synthesis robust control design. For these uncertainty models, we propose a computationally efficient approximate validation method based on a convex weighted optimization and H/sub /spl infin// filtering. A simple numerical example is presented.