gebhart/patrepeval huggingface dataset:
Dynamic interval analysis of FE models with uncertain substructures (2013)

The exponential growth of the computational capacity has, amongst other things, enabled the design engineer to include non-deterministic properties in the numerical simulation and validation of new designs. In this context, the interval concept has been introduced for the description of incomplete data, subjective knowledge and modelling uncertainties in a non-probabilistic manner. The use of the interval concept in the finite element context has led to the development of the interval finite element method for eigenfrequency and frequency response function analysis. For industrially sized models with a large number of uncertainties, the computation time of these methods can be considerable. A reduction in calculation time can be achieved by the substructuring of large models into substructures, which are then independently processed and reduced, and afterwards recombined. The aim of the presented work is to combine the interval finite element method for dynamic analysis with the Craig-Bampton component mode synthesis substructuring technique, in which the static and dynamic behaviour of each substructure are represented by a set of component modes. Special attention is paid to the consequences of uncertain parameters on the numerical representation of an uncertain substructure. A numerical case study is presented to illustrate the concepts used in this paper. 1
VCE-003.2, a novel cannabigerol derivative, enhances neuronal progenitor cell survival and alleviates symptomatology in murine models of Huntington’s disease (2016)

Cannabinoids have shown to exert neuroprotective actions in animal models by acting at different targets including canonical cannabinoid receptors and PPARγ. We previously showed that VCE-003, a cannabigerol (CBG) quinone derivative, is a novel neuroprotective and anti-inflammatory cannabinoid acting through PPARγ. We have now generated a non-thiophilic VCE-003 derivative named VCE-003.2 that preserves the ability to activate PPARγ and analyzed its neuroprotective activity. This compound exerted a prosurvival action in progenitor cells during neuronal differentiation, which was prevented by a PPARγ antagonist, without affecting neural progenitor cell proliferation. In addition, VCE-003.2 attenuated quinolinic acid (QA)-induced cell death and caspase-3 activation and also reduced mutant huntingtin aggregates in striatal cells. The neuroprotective profile of VCE-003.2 was analyzed using in vivo models of striatal neurodegeneration induced by QA and 3-nitropropionic acid (3NP) administration. VCE-003.2 prevented medium spiny DARPP32(+) neuronal loss in these Huntington's-like disease mice models improving motor deficits, reactive astrogliosis and microglial activation. In the 3NP model VCE-003.2 inhibited the upregulation of proinflammatory markers and improved antioxidant defenses in the brain. These data lead us to consider VCE-003.2 to have high potential for the treatment of Huntington's disease (HD) and other neurodegenerative diseases with neuroinflammatory traits.
In vivo evidence of microstructural hypo-connectivity of brain white matter in 22q11.2 deletion syndrome (2023)

22q11.2 deletion syndrome, or 22q11.2DS, is a genetic syndrome associated with high rates of schizophrenia and autism spectrum disorders, in addition to widespread structural and functional abnormalities throughout the brain. Experimental animal models have identified neuronal connectivity deficits, e.g., decreased axonal length and complexity of axonal branching, as a primary mechanism underlying atypical brain development in 22q11.2DS. However, it is still unclear whether deficits in axonal morphology can also be observed in people with 22q11.2DS. Here, we provide an unparalleled in vivo characterization of white matter microstructure in participants with 22q11.2DS (12-15 years) and those undergoing typical development (8-18 years) using a customized magnetic resonance imaging scanner which is sensitive to axonal morphology. A rich array of diffusion MRI metrics are extracted to present microstructural profiles of typical and atypical white matter development, and provide new evidence of connectivity differences in individuals with 22q11.2DS. A recent, large-scale consortium study of 22q11.2DS identified higher diffusion anisotropy and reduced overall diffusion mobility of water as hallmark microstructural alterations of white matter in individuals across a wide age range (6-52 years). We observed similar findings across the white matter tracts included in this study, in addition to identifying deficits in axonal morphology. This, in combination with reduced tract volume measurements, supports the hypothesis that abnormal microstructural connectivity in 22q11.2DS may be mediated by densely packed axons with disproportionately small diameters. Our findings provide insight into the in vivo white matter phenotype of 22q11.2DS, and promote the continued investigation of shared features in neurodevelopmental and psychiatric disorders.
Buried object imaging using reflection tomography (2011)

A recent pioneering study of Steven Schock provided high-quality imaging of buried objects using the buried object sensing sonar (BOSS) system in a towed or AUV-mounted configuration [Schock, Proc. IEEE Oceans, 2005]. This paper numerically investigates the performance of compressive sensing (CS) and standard backprojection methods for imaging multiple buried objects using a sonar system similar to the BOSS. Synthetic data are generated using a 3-D pseudo-spectral model for different sediment types and geometries including synthetic aperture sonar. As compared to the standard backprojection methods, the CS-based reflection tomography provided sharper images of buried objects using smaller data sets. Based on the CS performance, several improvements on the BOSS system and data collection schemes are also presented. [Work supported by ONR.]
Proceedings of the nineth ACM workshop on Digital rights management (2009)

This volume contains the papers presented at the ninth annual ACM Workshop on Digital Rights Management (DRM), sponsored by the ACM SIGSAC and held in conjunction with the 16th ACM Conference on Computer Computer and Communications Security (CSS). The daylong workshop consisted of informal discussions, peer-reviewed technical talks describing recent research contributions, invited talks that delved into policy issues related to DRM, along with a panel session that included experts in the field from both industry and academia.

As in the past, the workshop provided an international forum that serves as an interdisciplinary bridge between areas that can be applied to DRM, including: cryptography, software and computer systems design, trusted computing, information and signal processing, intellectual property law, policy-making, as well as business analysis and economics. In addition, this year we were privileged to have three invited talks from different cross-sections of the DRM realm. The first of these was provided by a speaker with in-depth experience related to high-value content, namely, Scott Watson, senior Vice President of the Walter Disney company and Chief Technology Officer of Disney Imagineering Research and Development. The next invited talk was given by Randal Picker of the University of Chicago School of Law, who is an expert on laws related to intellectual property and regulated industries. Finally, an invited talk was also given by Edward Felten, Professor and Director of the Center for Information Technology Policy at Princeton University, who is a longstanding proponent of informed public discussion of digital technologies.
Low noise amplifier receivers for millimeter wave atmospheric remote sensing (2012)

We currently achieve 3.4 dB noise figure at 183GHz and 2.1 dB noise figure at 90 GHz with our MMIC low noise amplifiers (LNAs) in room temperature. These amplifiers and the receivers we have built using them made it possible to conduct highly accurate airborne measurement campaigns from the Global Hawk unmanned aerial vehicle, develop millimeter wave internally calibrated radiometers for altimeter radar path delay correction, and build prototypes of large arrays of millimeter receivers for a geostationary interferometric sounder. We use the developed millimeter wave receivers to measure temperature and humidity profiles in the atmosphere and in hurricanes as well as to characterize the path delay error in ocean topography altimetry.
What’s new in the treatment of neonatal shock (2011)

Shock is a clinical disorder that challenges caregivers in the neonatal intensive care unit. The predominant cause of shock in neonates is sepsis. This article provides an overview of the current treatment of septic shock with particular emphasis on newer vasoactive drugs (milrinone, levosimendan and vasopressin) to support cardiovascular dysfunction.
Mobility-Induced Service Migration in Mobile Micro-clouds (2014)

Mobile micro-cloud is an emerging technology in distributed computing, which is aimed at providing seamless computing/data access to the edge of the network when a centralized service may suffer from poor connectivity and long latency. Different from the traditional cloud, a mobile micro-cloud is smaller and deployed closer to users, typically attached to a cellular base station or wireless network access point. Due to the relatively small coverage area of each base station or access point, when a user moves across areas covered by different base stations or access points which are attached to different micro-clouds, issues of service performance and service migration become important. In this paper, we consider such migration issues. We model the general problem as a Markov decision process (MDP), and show that, in the special case where the mobile user follows a one-dimensional asymmetric random walk mobility model, the optimal policy for service migration is a threshold policy. We obtain the analytical solution for the cost resulting from arbitrary thresholds, and then propose an algorithm for finding the optimal thresholds. The proposed algorithm is more efficient than standard mechanisms for solving MDPs.
The Fuel Processor for Accelerated Catalyst Light-Off and Engine-Independent Active Regeneration Measures (2008)

&lt;div class="htmlview paragraph"&gt;Active engine-based measures are currently used to assist the exhaust aftertreatment. This paper presents the current predevelopment of a system for active exhaust aftertreatment of diesel engines which enables exhaust aftertreatment to be decoupled from engine-based measures. At the heart of the system, the Fuel Processor is the active component which is used to combust, reactively evaporate or partially oxidise the fuel, as required. Active catalytic converter heating, active particulate filter regeneration or heating of a SCR catalytic converter are possible without engine-based measures.&lt;/div&gt;
X-ray phase-contrast imaging of dynamics of complex fluids (2013)

Complex fluids often exhibit unusual and/or unexpected behaviours in response to external stresses because of their complicated structures and compositions. It is not easy to understand dynamic behaviours of complex fluids based on using conventional imaging methods such as optical or electron microscopy. Recently, x-ray phase-contrast imaging, as one of the most powerful methods, has been introduced for elucidating the dynamic nature of complex fluids, enabling directly looking into the insides of complex fluids thanks to the strong penetration capability and small refractivity of hard x-rays. In this paper, we review representative x-ray imaging studies on dynamics of various complex fluid systems from droplets, bubbles, granular materials and foams to colloids. It is demonstrated that x-ray phase-contrast imaging would help us better identify and utilize the properties of complex fluids.
Polydimethylsiloxane Composites Reinforced by Fumed Silica/Mica Hybrid Reinforcers (2002)

In this study, physical properties of fumed silica and mica hybrid reinforced polydimethylsiloxane composites have been investigated with special reference to the effect of loading composition, degree of cross-linking, and silanization. The composites were prepared via milling technique and were examined in terms of static and dynamic mechanical properties as well as swelling behaviour. Swelling ratio of the composites was found to decrease as mica content increased. Silanization of mica gives rise to a further decrease in swelling. Static mechanical properties of the composites, such as elongation at break, stress at break, and work up to fracture were also found to be enhanced by the addition of mica. Dynamic mechanical spectra were obtained, and the effects of filler and silanization as well as frequency on E', E, and tan δ values were all discussed. In light of this study, we found that, by tailoring the compositions of the composites, it is possible to obtain structures that are resistant to solvents, have good static and dynamic mechanical properties. And also, by adjusting the compositions, composites can become effective dampers in the frequency and temperature range of interest.
Application of a polymer exchange membrane fuel cell stack as the primary energy source in a commercial uninterruptible power supply unit (2013)

This paper presents construction details of the commercially available uninterruptible power supply system (UPS) in which the PEM fuel cell stack was applied as the primary energy source. Results of components testing as steady state performance of the fuel cell stack used are presented and analyzed in the context of project assumptions. Finally, the results of field tests of the complete UPS unit are presented and analyzed. The designed and constructed uninterruptible power supply with fuel cell module can power any electrical devices up to 300 W for 80 minutes with 33 gram of stored hydrogen.
A Monte Carlo Simulation Study of Radiation Heat Transfer in the Multiwafer LPCVD Reactor (1994)

A direct simulation Monte Carlo technique is used to simulate the radiation heat transfer in a multiwafer low pressure chemical vapor deposition (LPCVD) reactor. The model accounts for the heat transfer between the stack of closely spaced Si wafers, the quartz reactor tube, the stainless steel ends of the reactor, and the surrounding furnace. Spectral and thermal variations in the materials properties are included directly in the model. In addition, conductive heat transfer through the quartz tube is computed using a finite difference approach. The cooled ends of the reactor result in a suppression of the temperature of several wafers at each end of the wafer stack. Simulations show that the extent of this cooling effect is influenced by direct radiative heat losses from the end wafers as well as dissipation of the furnace heat flux by conductive heat losses through the quartz tube. The calculated temperature profiles are then used as thermal boundary conditions in simulations of rarefied gas flows in the LPCVD reactor. The thermal variations along the quartz and wafer surfaces give rise to significant temperature and density variations in the gas flow. The simulation results show excellent agreement with experimental data.
Turbine Vane Passage Cooling Experiments With a Close-Coupled Combustor–Turbine Interface Geometry Part II: Describing the Coolant Coverage (2023)

Abstract The first-stage gas turbine vane surfaces and endwalls require aggressive cooling. This two-part paper introduces a modified design of the combustor–turbine (C–T) interface, the “close-coupled interface,” that is expected to increase cooling performance of vane passage surfaces. While Part I of the paper describes secondary flows and coolant transport in the passage, this part discusses the effects of the new C–T interface geometry on adiabatic cooling effectiveness of the endwall and vane surfaces. Compared to the traditional C–T interface, the coolant requirement is reduced for the same level of cooling effectiveness on all three surfaces for the new C–T interface design, confirming that it is an improvement over the previous design. The endwall crossflow is reduced by combustor coolant injection with the new interface leading to more pitchwise-uniform cooling of the endwall. For the pressure surface, increasing combustor coolant flowrate directly increases phantom cooling effectiveness and spreading of coolant away from the endwall. With the traditional passage vortex seen in the literature replaced by the impingement vortex of the present design, the suction surface receives less phantom cooling than does the pressure surface. However, cooling performance is still improved over that of the previous C–T interface design.
Motion Control and Optical Interrogation of a Levitating Single Nitrogen Vacancy in Vacuum (2018)

Levitation optomechanics exploits the unique mechanical properties of trapped nano-objects in vacuum to address some of the limitations of clamped nanomechanical resonators. In particular, its performance is foreseen to contribute to a better understanding of quantum decoherence at the mesoscopic scale as well as to lead to novel ultrasensitive sensing schemes. While most efforts have focused so far on the optical trapping of low-absorption silica particles, further opportunities arise from levitating objects with internal degrees of freedom, such as color centers. Nevertheless, inefficient heat dissipation at low pressures poses a challenge because most nano-objects, even with low-absorption materials, experience photodamage in an optical trap. Here, by using a Paul trap, we demonstrate levitation in vacuum and center-of-mass feedback cooling of a nanodiamond hosting a single nitrogen-vacancy center. The achieved level of motion control enables us to optically interrogate and characterize the emitter response. The developed platform is applicable to a wide range of other nano-objects and represents a promising step toward coupling internal and external degrees of freedom.
12-GHz Gilbert mixers using a manufacturable Si/SiGe epitaxial-base bipolar technology (2002)

We present Gilbert mixer circuits, fabricated with an epitaxial-base Si/SiGe bipolar technology, having bandwidths of up to 12 GHz and gain-bandwidth products in excess of 22 GHz.
On Improving Temporal and Spatial Resolution of 3D Contrast-enhanced Body MR Angiography with Parallel Imaging (2004)

Use of a parallel imaging technique to improve temporal and spatial resolution at three-dimensional contrast-enhanced magnetic resonance (MR) angiography was investigated. Thirty experiments were performed in five groups of healthy subjects. In groups 1-3, the technique was used to improve imaging speed by a factor of two or four while maintaining spatial resolution. Contrast agent concentration was two to four times higher than at standard MR angiography, to take advantage of the faster imaging speed. In groups 4 and 5, the technique was used to double spatial resolution in the phase-encoding direction while maintaining imaging speed and contrast agent concentration. At a two to four times faster imaging speed, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) almost equaled those at standard MR angiography, likely a result of increased contrast agent concentration. The use of parallel imaging to achieve higher spatial resolution was also proved feasible, but with substantial reduction in SNR and CNR.
Using Enriched Observational Data to Develop and Validate Age-specific Mortality Risk Adjustment Models for Hospitalized Pediatric Patients (2013)

The thresholds for physiological determinants varied by age. Common physiological variables assessed on admission contributed significantly to predicting mortality for hospitalized pediatric patients. These models may have practical utility in risk adjustment for pediatric outcomes and comparative effectiveness research when physiological data are captured through the electronic medical record.
Deep-learning-based macro-pixel synthesis and lossless coding of light field images (2019)

This paper proposes a novel approach for lossless coding of light field (LF) images based on a macro-pixel (MP) synthesis technique which synthesizes the entire LF image in one step. The reference views used in the synthesis process are selected based on four different view configurations and define the reference LF image. This image is stored as an array of reference MPs which collect one pixel from each reference view, being losslessly encoded as a base layer. A first contribution focuses on a novel network design for view synthesis which synthesizes the entire LF image as an array of synthesized MPs. A second contribution proposes a network model for coding which computes the MP prediction used for lossless encoding of the remaining views as an enhancement layer. Synthesis results show an average distortion of 29.82 dB based on four reference views and up to 36.19 dB based on 25 reference views. Compression results show an average improvement of 29.9 over the traditional lossless image codecs and 9.1 over the state-of-the-art.
Electric Triggering for Enhanced Control of Droplet Generation (2019)

Serial femtosecond crystallography (SFX) is a powerful technique that uses X-ray free-electron lasers (XFEL) to determine structures of biomolecular complexes. Specifically, it benefits the study of atomic resolution structures of large membrane protein complexes and time-resolved reactions with crystallography. One major drawback of SFX studies with XFELs is the consumption of large amounts of a protein crystal sample to collect a complete X-ray diffraction data set for high-resolution crystal structures. This increases the time and resources required for sample preparation and experimentation. The intrinsic pulsed nature of all current X-ray sources is a major reason why such large amounts of sample are required. Any crystal sample that is delivered in the path of the X-ray beam during its "off-time" is wasted. To address this large sample consumption issue, we developed a 3D printed microfluidic system with integrated metal electrodes for water-in-oil droplet generation to dynamically create and manipulate aqueous droplets. We demonstrate on-demand droplet generation using DC potentials and the ability to tune the frequency of droplet generation through the application of AC potentials. More importantly, to assist with the synchronization of droplets and XFEL pulses, we show that the device can induce a phase shift in the base droplet generation frequency. This novel approach to droplet generation has the potential to reduce sample waste by more than 95% for SFX experiments with XFELs performed with liquid jets and can operate under low- and high-pressure liquid injection systems.