gebhart/patrepeval huggingface dataset:
Speech production models in automatic speech recognition—Forming a lasting marriage between speech science and speech technology (1994)

At present, the performance of automatic speech recognition (ASR) systems is still limited by variabilities within and between speakers, by acoustic differences between training and application environments, and by the sensitivity of ASR systems against changing communication channels. This talk considers the conjecture that the use of speech-production models in ASR systems can contribute to making ASR systems more robust with respect to these sources of variability. Although it is well known that production-oriented representations of speech may be used to exploit the continuity of articulatory movements, several obstacles stand in the way of incorporating speech production models in recognizers. These include the difficult problem of acoustic-to-articulatory mapping, the hugh complexity of searching an articulatory space, and the lack of sensitive diagnostic performance metrics for evaluating strengths and weaknesses of a particular production model. Several research laboratories are actively involved in efforts towards incorporating articulatory models in various forms in working ASR systems. In addition to summarizing this work, mechanisms will be suggested for stimulating closer interaction between researchers in production, perception, and processing.
Are We Agreed? Self- Versus Proxy-Reporting of Paediatric Health-Related Quality of Life (HRQoL) Using Generic Preference-Based Measures: A Systematic Review and Meta-Analysis (2022)

This study provides evidence from a systematic review of studies reporting dyad assessments to demonstrate the discrepancies in inter-rater agreement between child and proxy reporting of overall and domain-level paediatric HRQoL using generic preference-based measures. Further research to drive the inclusion of children in self-reporting their own HRQoL wherever possible and limiting the reliance on proxy reporting of children's HRQoL is warranted.
My reading life (2013)

As reading is an integral part of our knowledge lives, we should know more about our reading activities. This paper introduces a reading application for smart phone and tablets that aims at giving user more quantified information about their reading habits. We present our work towards building an open library for eye tracking on unmodified tablets and smart phones to support some of the applications advanced functionality. We implemented already several eye tracking algorithms from previous work, unfortunately all seem not to be robust enough for our application case. We give an overview about our challenges and potential solutions.
Electroencephalogram analysis and neuroprotective profile of the N-acetylated-alpha-linked acidic dipeptidase inhibitor, GPI5232, in normal and brain-injured rats. (2001)

We have evaluated the effects of the N-acetylated-alpha-linked acidic dipeptidase (NAALADase) inhibitor, GPI5232 [2-[(pentafluorophenylmethyl)hydroxyphosphinyl]methyl)-pentanedioic acid], to not only decrease brain injury but also to alter the inherent electroencephalographic (EEG) changes observed in a rat model of transient middle cerebral artery occlusion (MCAo). Continuous i.v. infusion of GPI5232 starting 1 h after injury resulted in more than a 50% reduction in brain infarct volume caused by 2 h of MCAo. This effect was dose-dependent and significant even when first treatment was delayed for 2 h post-MCAo. At 24 h post-MCAo, EEG spectral analysis of the injured hemisphere revealed functional improvement in GPI5232-treated rats. Significant recovery in high-frequency EEG power (8-30 Hz) was measured in GPI5232-treated animals in both parietal and temporal brain regions but not in vehicle-treated animals. MCAo-injured rats were also predisposed to developing cortical brain seizures, and GPI5232-treated rats had significantly fewer brain seizures than vehicle-treated animals. In separate experiments, acute high doses of GPI5232 in normal rats did not significantly alter EEG brain activity as evaluated by spectral analysis and did not produce any signs of seizure activity or behavioral abnormalities. These results show GPI5232 to be an effective neuroprotective treatment when given postinjury by reducing brain infarction and ameliorating the pathological EEG associated with focal brain ischemia.
Modifying RFC5549 VPNv4 over IPv6 next hop handling procedures (2019)

RFC4364 and RFC4659 define respectively BGP extensions to provide VPN-
IPv4 and VPN-IPv6 services. When defined RFC5549 has brought up an
inconsistency in how the next hop is encoded when a VPN-IPv4 NLRI
carries an IPv6 next hop compared to RFC4364 and RFC4659. For some
reasons, existing and deployed implementations of RFC5549 haven't
followed the specification and are using an VPN-IPv6 next hop as in
RFC4364 and RFC4659. Moving these implementations to be compliant with
RFC5549 may break existing network deployments. This document proposes
a modification of RFC5549 to enable compliancy of these
implementations. These document also proposes additional modifications
of RFC5549 to address missing points.
Allocation-Based Control with Actuator Dynamics for Four-Wheel Independently Actuated Electric Vehicles (2015)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;This paper proposes a novel allocation-based control method for four-wheel independently actuated electric vehicles. In the proposed method, both actuator dynamics and input/output constraints are fully taken into consideration in the control design. First, the actuators are modeled as first-order dynamic systems with delay. Then, the control allocation is formulated as an optimization problem, with the primary objective of minimizing errors between the actual and desired control outputs. Other objectives include minimizing the power consumption and the slew rate of the actuator outputs. As a result, this leads to frequency-dependent allocation that reflects the bandwidth of each actuator. To solve the optimization problem, an efficient numerical algorithm is employed. Finally the proposed control allocation method is implemented to control a four-wheel independently actuated electric vehicle. Simulation results show that the proposed method is valid and effective in improving the actuator response and subsequently the handling performance.&lt;/div&gt;&lt;/div&gt;
Development of a high sensitivity 10-plex human cytokine assay using Simoa Planar Array technology (2019)

Abstract Approaches to quantify multiple cytokines have potential to improve understanding of mechanisms and progression of disease, including cancer pathogenesis. However, in healthy humans many cytokines are present at levels below the limits of quantification for established multiplex assays. We developed the Simoa Planar Array to enable protein quantification in biological samples with greater sensitivity than traditional ELISAs. In this study we applied Simoa Planar technology to simultaneous multiplex detection of cytokines, using minimal sample volumes, to achieve sensitivity greater than established multiplex immunoassays. Capture antibodies were printed in a circular pattern in microwells, with biotinylated detector antibodies and chemiluminescent detection used in a sandwich format. Antibody pairs were screened for ability to quantify analytes with minimal cross-reactivity. Pairs targeting IFNγ, IL-1β, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-22 and TNFα were chosen, then assay conditions optimized to minimize matrix interferences. Analytical validation was performed, and circulating cytokine levels measured in normal human serum and plasma. 12.5 μL of human serum/plasma provided sufficient sample volume per replicate. Sub-picomolar LOD was achieved for all analytes; LLOQs ranged from 0.1 – 1.4 pg/mL. In normal human serum and plasma, &amp;gt; 80% normal samples were quantifiable (above LLOQ) for most analytes. Analytical validation confirmed sensitivity, precision, specificity and dilution linearity. The 10-plex Simoa Planar assay described here combines ultra-sensitivity with powerful multiplexing, enabling simultaneous detection of 10 cytokines in normal biological samples with superior sensitivity.
Broad-Spectrum Antimicrobial Polycarbonate Hydrogels with Fast Degradability (2015)

In this study, a new family of broad-spectrum antimicrobial polycarbonate hydrogels has been successfully synthesized and characterized. Tertiary amine-containing eight-membered monofunctional and difunctional cyclic carbonates were synthesized, and chemically cross-linked polycarbonate hydrogels were obtained by copolymerizing these monomers with a poly(ethylene glycol)-based bifunctional initiator via organocatalyzed ring-opening polymerization using 1,8-diazabicyclo[5.4.0]undec-7-ene catalyst. The gels were quaternized using methyl iodide to confer antimicrobial properties. Stable hydrogels were obtained only when the bifunctional monomer concentration was equal to or higher than 12 mol %. In vitro antimicrobial studies revealed that all quaternized hydrogels exhibited broad-spectrum antimicrobial activity against Staphylococcus aureus (Gram-positive), Escherichia coli (Gram-negative), Pseudomonas aeruginosa (Gram-negative), and Candida albicans (fungus), while the antimicrobial activity of the nonquaternized hydrogels was negligible. Moreover, the gels showed fast degradation at room temperature (4-6 days), which makes them ideal candidates for wound healing and implantable biomaterials.
High Volume Fuel Cell Stack Manufacturing (2022)

Plug Power is a world leader in fuel cell stack and fuel cell systems manufacturing, with over 50,000 fuel cells in the field for materials handling and stationary power applications. Plug Power is using this success to develop new markets in range-extenders for delivery vans, heavy duty vehicles, and aerospace. The rapid growth of Plug Power’s fuel cell technology has brought new challenges with high volume manufacturing. An individual cell needs to be made in less than 5 seconds, and then sealed and stacked rapidly and reproducibly. This talk will review some of the general approaches that Plug Power is taking toward high-volume stack manufacturing. We will also review two programs funded by the U.S. Department of Energy on high volume manufacturing, and novels ways toward low cost, high volume manufacturing.
Segment Routing based Virtual Transport Network (VTN) for Enhanced VPN (1999)

Segment Routing (SR) leverages the source routing paradigm. A node
steers a packet through an ordered list of instructions, called
segments. A segment can represent topological or service based
instructions. A segment can further be associated with a set of
network resources used for executing the instruction. Such a segment
is called resource-aware segment. Resource-aware Segment Identifiers
(SIDs) may be used to build SR paths with a set of reserved network
resources. In addition, a group of resource-aware SIDs may be used to
build SR based virtual underlay networks, which has customized network
topology and resource attributes required by one or a group of
customers and/or services. Such virtual networks are the SR
instantiations of Virtual Transport Networks (VTNs). This document
describes a suggested use of resource-aware SIDs to build SR based
VTNs.
1P1-D14 The curved surface stereoscopic display using laser scanning (2006)

We studied on a curved surface stereoscopic display using laser scanning. We spotlighted a screen with a laser beam and made small pixels. The laser beam was scanned in two dimensions using a rotating polygon mirror and an oscillating mirror. And the screen was placed on the focal surface of an optical system. The focal surface was a circular arc with its center at a reflecting point on the polygon mirror. And we controlled the blinking of the laser light. With this device, we draw two dimensional images on the curved surface screen. We attached a lenticular lens to the screen and displayed directional images. As a result, we achieved the curved surface stereoscopic display which could generate three directional images simultaneously.
A New Euler/Lagrange Approach for Multiphase Simulations of a Multi-Hole GDI Injector (2015)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Compared to conventional injection techniques, Gasoline Direct Injection (GDI) has a lot of advantages such as increased fuel efficiency, high power output and low emission levels, which can be more accurately controlled. Therefore, this technique is an important topic of today's injection system research.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;Although the operating conditions of GDI injectors are simpler from a numerical point of view because of smaller Reynolds and Weber numbers compared to Diesel injection systems, accurate simulations of the breakup in the vicinity of the nozzle are very challenging. Combined with the complications of experimental techniques that could be applied inside the nozzle and at the nozzle exit, this is the reason for the lack of understanding the primary breakup behavior of current GDI injectors.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;In this work, this issue is addressed by combining high-fidelity primary breakup simulations in the vicinity of the nozzle exit, which use the velocity profile at the nozzle exit as boundary condition, and common Lagrange spray simulations. In detail, these enhanced simulations of a 6-hole state-of-the-art GDI injector are compared with the results of fully-Lagrange spray (FLS) simulations and experiments.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;It is shown that the accuracy of common Lagrange spray simulations can be increased by the combination with high-fidelity primary breakup simulations. This approach avoids the necessity of assuming a droplet size distribution at the nozzle exit, which requires usually tuning by using experimental data. Thus, its potential for a-priori spray predictions, which are for example desired within the injector design process, is much higher.&lt;/div&gt;&lt;/div&gt;
Comparison of Zirconia Nanoparticles with Conventionally Used Silica Nanoparticles for HTHP Drilling Applications (2023)

Abstract Well-designed formulations of drilling fluids are required for drilling operations to improve rheological and filtration properties. The rheological properties and fluid loss during the drilling process are severely affected at the deep well with high temperature and pressure conditions. This study investigates the comparison of zirconia nanoparticles and conventionally used silica nanoparticles on rheological and filtration properties at temperatures ranging from 76°F to 122°F. Sodium-bentonite dispersion in deionized water was used as the base drilling fluid. Rheological properties were determined at different temperatures using a Discovery Hybrid rheometer with various concentrations of nanoparticles from 0.2 wt.% to 0.75 wt.% concentrations. Steady shear rheology experiments were performed to study drilling formulations’ shear stress, viscosity, and yield stress. Temperature ramp rheology tests at 76°F and 122°F were performed to analyze the effect of increasing temperature on viscosity. The filtration tests were conducted to study the fluid loss properties of drilling fluids at various concentrations of nanoparticles. Linear swelling analysis of clay in the presence of drilling muds was performed to study the shale inhibition properties of prepared drilling formulations. The incorporation of nanoparticles significantly enhanced the rheological properties such as yield stress and viscosity at various concentrations and temperatures. Rheological properties of zirconia muds compared with silica muds for various concentrations of nanoparticles. Temperature ramp rheology tests showed that zirconia muds have enhanced viscosity at 0.75 wt.% compared to the counterpart of silica mud. A decrease in fluid loss was observed for zirconia muds compared to the base mud while fluid loss increases with increasing concentration of silica nanoparticles. The incorporation of nanoparticles in the drilling fluids significantly reduced the swelling of clay compared to the swelling of clay in deionized water. This research supports the extensive interpretation of water-based drilling fluids using zirconia nanoparticles and a comparison of drilling properties with silica-based fluids for high-temperature applications. The potential use of zirconia nanoparticles in drilling fluid formulations provides the way forward for the improvement of fluid loss characteristics, shale inhibition, and rheological properties.
Super Resolution for Multiview Images Using Depth Information (2012)

In stereoscopic and multiview video, binocular suppression theory states that the visual subjective quality of 3-D experience is not much affected by asymmetrical blurring of the individual views. Based on these studies, mixed-resolution frameworks applied for multiview systems offer great data-size reduction without incurring in significant quality degradation in 3-D video applications. However, it is interesting to recover high-frequency content of the blurred views, to reduce visual strain due to long-term exposure and to make the system suitable for free-viewpoint television. In this paper, we present a novel super-resolution technique, in which low-resolution views are enhanced with the aid of high-frequency content from neighboring full-resolution views, and the corresponding depth information for all views. Occlusions are handled by checking the consistency between views. Tests for synthetic and real image data in stereo and multiview cases are presented, and results show that significant objective quality gains can be achieved without any extra side information.
Optimizing Reaching Definitions Overhead in Queue Processors. (2007)

Queue computers are a viable option for embedded systems design. Queue computers feature a dense instruction set, high parallelism, low hardware complexity. In this paper we propose an optimization technique to reduce the overhead of long reaching definitions of variables in queue processors. Long reaching definitions have direct relationship with the queue register file utilization of the processor, and also to the bits in the instruction set reserved to reference operands. Using integer and embedded benchmarks, we demonstrate that our technique effectively reduces the length of reaching definitions up to 90%. 1.
Reduced-Order Fluidic Model for Flow Instabilities in Two-Phase Microfluidic Heat Exchangers (2010)

Two-phase microfluidic heat exchangers have the potential to provide high-heat flux cooling with lower thermal resistance and lower pumping power than single-phase heat exchangers. However, the process of phase change in two-phase heat exchangers can cause flow instabilities that lead to microchannel dryout and device failure [1–3]. Modeling these flow instabilities remains challenging because the key physics are highly coupled and occur over disparate time and length scales. This work introduces a new approach to capture transient thermal and fluidic transport with a reduced-order model consisting of fluidic, thermal, and phase-change submodels. The present study presents a reduced-order, transient, multichannel fluidic circuit submodel for integration into this proposed modeling approach. The fluidic submodel is applicable in flow regimes in which a thin liquid film exists around the bubble. Flow response to boiling is modeled considering bubble overpressure. An adaptive time step approach is used to treat the rapid flow response at short time scales after initial bubble vaporization. Using a seeded bubble technique for testing two-phase flow response, the model predicts a stability threshold at 0.015 W of localized superheating for two 100-micron square channels in parallel with a pump flow rate of 0.15 ml/min. Once integrated with the proposed reduced-order thermal and phase change models, this fluidic circuit model will yield criteria for stable two-phase heat exchanger operation considering factors such as pumping pressure, channel geometry, and applied heat flux that can be compared to experimental observations.
GABA editing with macromolecule suppression using an improved MEGA‐SPECIAL sequence (2017)

This improved MEGA-SPECIAL sequence provides unbiased GABA measurements with reduced variance as compared with conventional MEGA-PRESS. This approach is also relatively insensitive to the range of B<sub>0</sub> drifts typically observed in in vivo human studies. Magn Reson Med 79:41-47, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
Validation of the eighth edition American Joint Committee on Cancer staging system for human papillomavirus‐associated oropharyngeal cancer (2017)

The eighth edition guidelines have profoundly altered staging of HPV-positive OPC and seem to demonstrate improved survival discrimination.
Hydrocracking of n‐heptane. Study of NiO—MoO3 catalysts supported on a HY ultrastable zeolite (1986)

Abstract The hydrocracking of n ‐heptane in the temperature range of 573 to 623 K and at 2.45 × 10 6 Pa pressure has been employed as a test reaction for the study of Ni—Mo bifunctional catalysts supported on a HY ultrastable zeolite. Two groups of catalysts containing 8 and 12 wt% of MoO 3 and different amounts of NiO have been studied. In both series a maximum in the activity has been obtained for catalysts with a Ni/Mo atomic ratio of 0.8‐1.0. The order of the impregnation of the oxides can have little influence on the activity. The most active catalyst has been obtained when the zeolite is exchanged with NH + 4 ions until the Na + level is less than 2% of the original and calcined at 823 K to obtain a HY ultrastable zeolite. Using this catalyst the rate controlling step could be the transformation of the carbonium ion on the acid sites.