gebhart/patrepeval huggingface dataset:
Impeller Design of a Centrifugal Fan with Blade Optimization (2011)

A method is presented for redesigning a centrifugal impeller and its inlet duct. The double-discharge volute casing is a structural constraint and is maintained for its shape. The redesign effort was geared towards meeting the design volute exit pressure while reducing the power required to operate the fan. Given the high performance of the baseline impeller, the redesign adopted a high-fidelity CFD-based computational approach capable of accounting for all aerodynamic losses. The present effort utilized a numerical optimization with experiential steering techniques to redesign the fan blades, inlet duct, and shroud of the impeller. The resulting flow path modifications not only met the pressure requirement, but also reduced the fan power by 8.8% over the baseline. A refined CFD assessment of the impeller/volute coupling and the gap between the stationary duct and the rotating shroud revealed a reduction in efficiency due to the volute and the gap. The calculations verified that the new impeller matches better with the original volute. Model-fan measured data was used to validate CFD predictions and impeller design goals. The CFD results further demonstrate a Reynolds-number effect between the model- and full-scale fans.
Electronic spectroscopy of jet-cooled half-sandwich organometallic free radicals. 2. Laser-induced fluorescence study of the pyrrolyl complexes of zinc and cadmium (1992)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTElectronic spectroscopy of jet-cooled half-sandwich organometallic free radicals. 2. Laser-induced fluorescence study of the pyrrolyl complexes of zinc and cadmiumEric S. J. Robles, Andrew M. Ellis, and Terry A. MillerCite this: J. Phys. Chem. 1992, 96, 8, 3258–3265Publication Date (Print):April 1, 1992Publication History Published online1 May 2002Published inissue 1 April 1992https://pubs.acs.org/doi/10.1021/j100187a016https://doi.org/10.1021/j100187a016research-articleACS PublicationsRequest reuse permissionsArticle Views44Altmetric-Citations6LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access options Get e-Alerts
Recompaction de données non-structurées nano-lithographiques (2013)

National audience
Receptor dimerization dynamics as a regulatory valve for plasticity of type I interferon signaling (2015)

Type I interferons (IFNs) activate differential cellular responses through a shared cell surface receptor composed of the two subunits, IFNAR1 and IFNAR2. We propose here a mechanistic model for how IFN receptor plasticity is regulated on the level of receptor dimerization. Quantitative single-molecule imaging of receptor assembly in the plasma membrane of living cells clearly identified IFN-induced dimerization of IFNAR1 and IFNAR2. The negative feedback regulator ubiquitin-specific protease 18 (USP18) potently interferes with the recruitment of IFNAR1 into the ternary complex, probably by impeding complex stabilization related to the associated Janus kinases. Thus, the responsiveness to IFNα2 is potently down-regulated after the first wave of gene induction, while IFNβ, due to its ∼100-fold higher binding affinity, is still able to efficiently recruit IFNAR1. Consistent with functional data, this novel regulatory mechanism at the level of receptor assembly explains how signaling by IFNβ is maintained over longer times compared with IFNα2 as a temporally encoded cause of functional receptor plasticity.
Targeted Muscle Reinnervation: Considerations for Future Implementation in Adolescents and Younger Children (2018)

Prosthetic options for patients with proximal upper limb absence are limited. Current above-elbow prostheses may restore basic motor functions for crucial activities, but they are cumbersome to operate, lack sensory feedback, and are often abandoned. Targeted muscle reinnervation is a novel surgical procedure that enhances the ability of patients with above-elbow amputations to intuitively control a myoelectric prosthesis. By transferring multiple severed peripheral nerves to a robust target muscle, targeted muscle reinnervation restores physiologic continuity and enables more intuitive prosthetic control. Although reports have been limited to adults, targeted muscle reinnervation has great potential for application in a pediatric population with congenital or acquired proximal upper limb absence. In this review, the authors describe the rehabilitative challenges of proximal upper limb amputees and outline the objectives, techniques, and outcomes of targeted muscle reinnervation. The authors then discuss important considerations for adapting targeted muscle reinnervation to pediatric patients, including cause of upper limb absence, central plasticity, timing of prosthesis fitting, role of the family, surgical feasibility, and bioethical aspects. The authors believe that carefully screened school-age children and adolescents with bilateral proximal upper limb absence, and select adolescents with unilateral proximal upper limb absence, should be seriously considered for targeted muscle reinnervation performed by an experienced surgical and rehabilitation team.
A Single and Multiple Ascending Dose Study of Toll‐Like Receptor 7 Agonist (RO7020531) in Chinese Healthy Volunteers (2020)

Toll-like receptor 7 (TLR7) agonists modulate broad spectrum immune activity and are evaluated in the treatment of human diseases, including cancer and chronic viral infection. RO7020531, an oral prodrug of a TLR7 agonist, is in clinical development as part of a curative regimen against chronic hepatitis B. We report the safety, tolerability, pharmacokinetics (PKs), and pharmacodynamics (PDs) of RO7020531 in healthy Chinese volunteers following single and multiple ascending doses (SAD and MAD). PK and PD samples were evaluated from four SAD cohorts and 3 MAD cohorts with 10 subjects each (8 active and 2 placebo). Safety and tolerability were monitored throughout the study. A total of 155 adverse events (AEs) were reported in 49 subjects. Fifty-one AEs in 18 subjects were assessed as treatment-related. Most of the AEs were mild; nine subjects experienced moderate AEs; there were no severe AEs. In two 150 mg MAD cohorts given every other day (q.o.d.), 7 of 20 subjects experienced pyrexia and were discontinued due to transient asymptomatic lymphopenia, which resolved 24-48 hours postdose. The PK of the active metabolite, RO7011785, increased linearly with dose from 40 mg to 170 mg. There was no PK accumulation following q.o.d. dosing. The PK profile is consistent with observations in white subjects in the global first-in-human study. SADs and MADs of RO7020531 resulted in dose-dependent increases in TLR7 response markers at 100 mg or above. Flu-like symptoms were associated with higher interferon-α levels. RO7020531 was safe and acceptably tolerated in healthy Chinese volunteers with a multiple 150 mg q.o.d. dose regimen.
<title>Integration, electrical, and electromechanical properties of PZT and PMN-PT thin films for MEMS applications</title> (2002)

Piezoelectric and electrostrictive thin films are potential candidates for actuator functions in micro-electro-mechanical systems (MEMS) offering displacements and forces which outperform standard solutions, e.g. in micro mirrors and micro relays. Within this context the paper reports on the preparation and the integration processes of chemical solution deposited (CSD) PZT and PMN-PT thin films in combination with silicon bulk micro machining technique. The operativeness of the processes is demonstrated by the development of an integrated micro actuator for a micro switch application. Furthermore, the work deals also with the characterization of the integrated materials. For fabrication control and electrical characterizations microscopy, SEM, hysteresis- and CV-, and degradation measurements were performed. Laser interferometry and resonance frequency measurements were used to characterize the electromechanical performance of both materials in comparison to the behavior of the developed micro actuator.
Damage Evaluation of Wet-Chemical Si-Wafer Thinning/Backside Via Exposure Process (2014)

To realize low-cost and damage-less through silicon via (TSV) formation, we evaluated the damage caused by a new wet-chemical Si-wafer thinning/backside via exposure process. Damage at the etched Si subsurface was examined using ball-on-ring tests, cross-sectional transmission electron microscopy, and electron energy loss spectroscopy. The die fracture load obtained after this process was higher than those for processes that include a backgrinding step. There was little damage to the etched Si subsurface layer after our new process. We then evaluated the damage in 0.8- μm metal-oxide-semiconductor field-effect transistor generated by the new process. The changes in threshold voltage, subthreshold swing, transconductance, and leakage current were very small, even when the wafer was thinned down to 20 μm. Finally, we applied our new process to a Cu/Ta via wafer to evaluate the damage in a TSV. No damaged layers were observed in the TSV, and the leakage current between the TSVs after this process was sufficiently small for practical application.
On the equivalence of channel-state and block-error Markov models for the analysis of transmission over slow fading channels (2002)

Block error processes in transmissions over radio channels can be accurately modeled by a two-state Markov chain (Zorzi et al. 1997) (the block-error Markov model, or BMM). An independent line of research has focused on the use of hidden Markov models to describe channel states (channel-state Markov models, or CSMM) (Turin 1999). Although both techniques provide results that agree well with observations, their relationship has not been recognized in the previous literature. In this paper we show that the BMM can be directly derived from the CSMM. Based on this analysis, we introduce a greatly simplified channel modeling methodology. In the new methodology the BMM is the primary channel characterization tool, and the CSMM becomes essentially an estimation technique that provides parameters for the BMM. Results of packet transmissions in slow fading channels show that our approach provides significant improvements in both accuracy and simplicity over previously proposed techniques.
Targeted Imaging of Colonic Tumors in Smad3−/− Mice Discriminates Cancer and Inflammation (2007)

The peripheral benzodiazepine receptor (PBR) is a trans-mitochondrial membrane protein that modulates steroid biosynthesis. Recently, up-regulation and nuclear localization of PBR has been shown to be associated with colon, prostate, and breast cancer. PBR has been targeted by the exogenous synthetic ligand, PK11195, for various purposes including imaging. To capitalize on these observations, we developed a high-throughput, noninvasive, in vivo imaging approach to detect spontaneously arising colonic tumors in mice using a novel PBR-targeted molecular imaging agent (NIR-conPK11195). NIR-conPK11195 localized and was retained in colonic adenomas and carcinomas in Smad3(-/-) mice but not in non-neoplastic hamartomas or chronically inflamed colonic tissue. Using a fluorescence signal-to-noise ratio of > or =4-fold 13 h after injection of the agent, we detected colonic tumors with a sensitivity of 67% and a specificity of 86% in a cohort of 37 Smad3(-/-) mice and control littermates. Furthermore, using oral administration of dextran sulfate to induce colonic inflammation, we showed that the clearance profile of NIR-conPK11195 distinguished transient uptake in inflammatory tissue from longer term retention in tumors. Taken together, these results indicate that NIR-conPK11195 is a promising optical molecular imaging tool to rapidly screen for colonic tumors in mice and to discriminate inflammation from cancer.
Novel optical fiber design for low-cost optical interconnects in consumer applications (2012)

We propose a novel fiber design optimized for short-reach interconnects in consumer applications. A detailed analysis of the optical and mechanical properties of this fiber design is presented. Results are presented demonstrating (i) low bend loss and enhanced mechanical reliability in bends as small as 3 mm diameter; (ii) high power budget margin to enable relaxed mechanical tolerances on transmitter, receiver, and expanded-beam connectors for low-cost connectivity; and (iii) high bandwidth capability and system testing results at 10 Gb/s.
Robust DOA Estimation: The Reiterative Superresolution (RISR) Algorithm (2011)

A new approach for spatial direction-of-arrival (DOA) estimation, denoted as re-iterative superresolution (RISR), is developed based upon a recursive implementation of the minimum mean-square error (MMSE) framework. This recursive strategy alternates between updating an MMSE filter bank according to the previous receive spatial power distribution and then subsequently applying the new filter bank to the received data snapshots to obtain a new estimate of the receive spatial power distribution. Benefits of this approach include robustness to coherent sources such as can occur in multipath environments, operation with very low sample support to enable tracking of sources with rapidly changing DOA (e.g., bistatic pulse chasing), intrinsic determination of model order, and robustness to array modeling errors by exploiting approximate knowledge of array calibration tolerances. From an implementation perspective RISR belongs to a class of recursive algorithms that includes Interior Point methods, the minimum-norm-based FoCal underdetermined system solver (FOCUSS) algorithm, and the iterative reweighted least squares (IRLS) algorithm. However, the structure of RISR also enables the natural inclusion of spatial noise covariance information as well as a mechanism to account for array modeling errors which are known to induce degradation for existing superresolution methods. The inclusion of the latter is also found to facilitate an adaptive form of regularization that establishes a feasible (given model uncertainties) dynamic range for source estimates.
Direct filtering method for image based rendering (2005)

Image based rendering (IBR) is basically a light ray resampling method for generating a novel image without aliasing artifacts from a given set of sampled light rays. To avoid aliasing artifacts, conventional methods require an estimate of the scene geometry. In this paper, we present a novel IBR method by linear filtering without estimating the scene geometry, for the simplified case when generating a virtual image at the center of 2/spl times/2 sparse camera array for a two depth-layers scene. The reconstruction filter used in the proposed method can derive by integrating all the process in our previously proposed method into a one-shot process.
Calculating Method about the Normal Clearance Magnitude of the Water Pump Shroud by the Boundary-Layers Theory (2012)

The Normal clearance magnitude of the shroud in the engine cooling pump influences greatly on the performance of the pump. As yet there has been no any appropriate theory on it. The dimension of the clearance is now designed depending on plentiful experiments which may consume a great deal of manpower, materials and funds. The boundary-layers in shroud clearance of impeller can be considered as 3D symmetrical and rotational boundary layers which can be converted into 2D boundary by coordinate conversion. Then the Boundary-layers thickness in clearance can be calculated by the more mature method of computing 2D boundary-layers thickness. This method first breached conventional experiment way in determine the shroud clearance magnitude and supplied scientific theory to the engineering design. As a result, this method can save many of all kinds of the industrial resources, and give the more precise scientific reference to relative research about pump.
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing (2022)

Abstract Discovering how neural computations are implemented in the cortex at the level of monosynaptic connectivity requires probing for the existence of synapses from possibly thousands of presynaptic candidate neurons. Two-photon optogenetics has been shown to be a promising technology for mapping such monosynaptic connections via serial stimulation of neurons with single-cell resolution. However, this approach is limited in its ability to uncover connectivity at large scales because stimulating neurons one-by-one requires prohibitively long experiments. Here we developed novel computational tools that, when combined, enable learning of monosynaptic connectivity from high-speed holographic neural ensemble stimulation. First, we developed a model-based compressed sensing algorithm that identifies connections from postsynaptic responses evoked by stimulation of many neurons at once, considerably increasing the rate at which the existence and strength of synapses are screened. We show that this model-based approach, explicitly incorporating known biophysics of optogenetic mapping experiments, is critical for accurately determining synaptic connectivity using compressed sensing. Second, we developed a deep learning method that isolates the postsynaptic response evoked by each stimulus, allowing stimulation to rapidly switch between ensembles without waiting for the postsynaptic response to return to baseline. We then validated our approach by performing large-scale connectivity mapping experiments in slices from layer 2/3 of mouse primary visual cortex. Together, our system increases the throughput of monosynaptic connectivity mapping by an order of magnitude over existing approaches, enabling the acquisition of connectivity maps at speeds needed to discover the synaptic circuitry implementing neural computations.
Computation‐Guided Design of LiTaSiO5, a New Lithium Ionic Conductor with Sphene Structure (2019)

Abstract The development of all‐solid‐state Li‐ion batteries requires solid electrolyte materials with many desired properties, such as ionic conductivity, chemical and electrochemical stability, and mechanical durability. Computation‐guided materials design techniques are advantageous in designing and identifying new solid electrolytes that can simultaneously meet these requirements. In this joint computational and experimental study, a new family of fast lithium ion conductors, namely, LiTaSiO 5 with sphene structure, are successfully identified, synthesized, and demonstrated using a novel computational design strategy. First‐principles computation predicts that Zr‐doped LiTaSiO 5 sphene materials have fast Li diffusion, good phase stability, and poor electronic conductivity, which are ideal for solid electrolytes. Experiments confirm that Zr‐doped LiTaSiO 5 sphene structure indeed exhibits encouraging ionic conductivity. The lithium diffusion mechanisms in this material are also investigated, indicating the sphene materials are 3D conductors with facile 1D diffusion along the [101] direction and additional cross‐channel migration. This study demonstrates a novel design strategy of activating fast Li ionic diffusion in lithium sphenes, a new materials family of superionic conductors.
Enhanced design performance thanks to adaptative body biasing technique in FDSOI technolologies (2017)

This paper presents a comprehensive analysis of Adaptive Body Bias (ABB) interests provided by Fully Depleted Silicon On Insulator (FDSOI) technology. At transistor level, we demonstrate a total process variability and temperature effect compensation thanks reverse and forward bias. Those benefits have been reached without degradation of devices reliability versus regular Adaptative Voltage Scaling solution (AVS). Leveraging this triple advantages (variability, temperature and ageing), digital design density is discussed showing significant reduction of W/L metric in case of ABB usage in CPU core. Forward Body Biasing (FBB) exhibited significant analog performance increasing (+100%) on key parameters such as gm and gd for both I/Os and core oxide devices. Finally, outstanding Vmin yield improvement thanks to ABB technique is demonstrated on commercial product in the automotive market.
Comparison of the effects of gemigliptin and dapagliflozin on glycaemic variability in type 2 diabetes: A randomized, open‐label, active‐controlled, 12‐week study (STABLE II study) (2019)

Compared to dapagliflozin, gemigliptin significantly improved glycaemic variability, with similar glucose-lowering efficacy and safety profiles in patients with type 2 diabetes who were inadequately controlled with metformin alone or were drug naïve.