gebhart/patrepeval huggingface dataset:
Appendix (2018)

No AccessInjection Molding Processing DataNov 2018AppendixAlberto Naranjo C., Maria del Maria del, Juan Diego Sierra M., Juan Rodrigo Sanz, Tim A. OsswaldAlberto Naranjo C., Maria del Maria del, Juan Diego Sierra M., Juan Rodrigo Sanz, Tim A. Osswaldhttps://doi.org/10.3139/9781569906675.006SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2018Pages: 117-119Print ISBN: 978-1-56990-666-8eISBN: 978-1-56990-667-5 Copyright & Permissions© 2019 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Prediction of Engine-Out Emissions Using Deep Convolutional Neural Networks (2021)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Analysis-driven pre-calibration of a modern automotive engine is extremely valuable in significantly reducing hardware investments and accelerating engine designs compliant with stricter emission regulations. Advanced modelling tools, such as a Virtual Engine Model (VEM) using Computational Fluid Dynamics (CFD), are often used within the framework of a Design of Experiments for Powertrain Engineering (DEPE) with the goal of streamlining significant portions of the calibration process. The success of the methodology largely relies on the accuracy of analytical predictions, especially engine-out emissions. Results show excellent agreements in engine performance parameters (with R&lt;sup&gt;2&lt;/sup&gt; &amp;gt; 98%) and good agreements in NOx and combustion noise (with R&lt;sup&gt;2&lt;/sup&gt; &amp;gt; 87%), while the Carbon Monoxide (CO), Unburned Hydrocarbons (HC) and Smoke emissions predictions remain a challenge even with a large n-heptane mechanism consisting of 144 species and 900 reactions and refined mesh resolution. In this study, a Machine Learning (ML) approach is presented to correlate in-cylinder images of Equivalence Ratio, Temperature, Velocity field and Turbulent Kinetic Energy (TKE) at Exhaust Valve Opening (EVO) to engine-out emissions of CO, HC and Smoke measured experimentally. The images generated from CFD simulations and experimentally measured emissions data were used to train a deep Convolutional Neural Network (CNN) based on the VGG16 architecture. The prediction performance of the trained model was evaluated on held-out data. The deep learning model led to a significant improvement in prediction of all emissions species and captured the qualitative trends as well. This model could be used as an emissions prediction sub-model in the Virtual Engine Model framework leading to significantly lower computational costs by avoiding the use of expensive chemistry solvers. Gradient-weighted Regression Activation Mapping (Grad-RAMS) was used to draw insights into image features that had a strong influence on the emissions predictions.&lt;/div&gt;&lt;/div&gt;
The Case for Microcontracts for Internet Connectivity (2010)

This paper introduces microcontracts, which are contracts&#13;\nfor "slices" of the Internet connectivity along dimensions&#13;\nsuch as time, destination, volume, and application type.&#13;\nMicrocontracts are motivated by the observation that Internet&#13;\nservice providers carry traffic for different classes&#13;\nof customers that use the ISP's resources in a variety of different ways and, hence, impose different costs on the ISPs. For example, customers have little incentive to move less important traffic from a peak time interval unless their&#13;\ncontract reflects the ISP's costs in that time interval. To address&#13;\nthis inefficiency, microcontracts divide connectivity&#13;\ninto fine-grained units so that prices more directly reflect&#13;\nthe costs that the ISP bears for delivering the connectivity&#13;\nat that time. We explore the feasibility of applying&#13;\nmicrocontracts in realistic Internet service provider settings&#13;\nby characterizing the traffic patterns from a transit network along two specific dimensions: time-of-day and&#13;\ndistance travelled. We argue that microcontracts are both feasible and advantageous to both buyers and sellers of Internet connectivity. We develop a model to help ISPs derive customer demand functions from observed traffic&#13;\npatterns; using this model, we show that making contracts&#13;\nfor Internet connectivity more fine-grained can improve&#13;\nthe aggregate gain of an ISP and its customers.
Supplementary Table 1 from Preclinical Characterization of SGN-70, a Humanized Antibody Directed against CD70 (2023)

&lt;p&gt;Supplementary Table 1. CD70 and CD27 expression on hematologic tumor cell lines.&lt;/p&gt;
Research of tunnel appendage conservation monitoring with MEMS technology (2016)

This study focused on tunnel lighting, we proposed a sensing method utilizing commercial sensors with MEMS technology and verified practicality. Moreover, we proposed as the tunnel conservation monitoring system. Micro-Electro-Mechanical Systems, or MEMS, is a technology that in its most general form can be defined as miniaturized mechanical and electro-mechanical elements (i.e., devices and structures) that are made using the techniques of microfabrication.
Oxidative Stress: Ultrasound Detection of Regional Oxidative Stress in Deep Tissues Using Novel Enzyme Loaded Nanoparticles (Adv. Healthcare Mater. 5/2017) (2017)

Inanc Ortac, Emilia S. Olson, Robert Mattrey, and co-workers introduce an intravenously injectable probe labeling sites of oxidative injury in vivo in article number 1601163. The probe they develop is a nanoparticle platform enzymatically catalyzing H2O2 to water and oxygen producing microbubbles detectable by a clinical ultrasound system. They demonstrate the functionality of 200 nm nanoparticles in vivo in rat ischemic renal injury (IRI) model.
Combinatorial-Designed Multifunctional Polymeric Nanosystems for Tumor-Targeted Therapeutic Delivery (2011)

By definition, multifunctional nanosystems include several features within a single construct so that these devices can target tumors or other disease tissue, facilitate in vivo imaging, and deliver a therapeutic agent. Investigations of these nanosystems are rapidly progressing and provide new opportunities in the management of cancer. Tumor-targeted nanosystems are currently designed based primarily on the intrinsic physico-chemical properties of off-the-shelf polymers. Following fabrication, the surfaces of these nanoscale structures are functionalized for passive or active targeted delivery to the tumors. In this Account, we describe a novel approach for the construction of multifunctional polymeric nanosystems based on combinatorial design principles. Combinatorial approaches offer several advantages over conventional methods because they allow for the integration of multiple components with varied properties into a nanosystem via self-assembly or chemical conjugation. High-throughput synthesis and screening is required in polymer design because polymer composition directly affects properties including drug loading, retention in circulation, and targeting of the nanosystems. The first approach relies on the self-assembly of macromolecular building blocks with specific functionalities in aqueous media to yield a large variety of nanoparticle systems. These self-assembled nanosystems with diverse functionalities can then be rapidly screened in a high-throughput fashion for selection of ideal formulations, or hits, which are further evaluated for safety and efficacy. In another approach, a library of a large number of polymeric materials is synthesized using different monomers. Each of the formed polymers is screened for the selection of the best candidates for nanoparticle fabrication. The combinatorial design principles allow for the selection of those nanosystems with the most favorable properties based on the type of payload, route of administration, and the desired target for imaging and delivery.
Enhancement of Interface Characteristics of Neural Probe Based on Graphene, ZnO Nanowires, and Conducting Polymer PEDOT (2017)

In the growing field of brain-machine interface (BMI), the interface between electrodes and neural tissues plays an important role in the recording and stimulation of neural signals. To minimize tissue damage while retaining high sensitivity, a flexible and a smaller electrode with low impedance is required. However, it is a major challenge to reduce electrode size while retaining the conductive characteristics of the electrode. In addition, the mechanical mismatch between stiff electrodes and soft tissues creates damaging reactive tissue responses. Here, we demonstrate a neural probe structure based on graphene, ZnO nanowires, and conducting polymer that provides flexibility and low impedance performance. A hybrid Au and graphene structure was utilized to achieve both flexibility and good conductivity. Using ZnO nanowires to increase the effective surface area drastically decreased the impedance value and enhanced the signal-to-noise ratio (SNR). A poly[3,4-ethylenedioxythiophene] (PEDOT) coating on the neural probe improved the electrical characteristics of the electrode while providing better biocompatibility. In vivo neural signal recordings showed that our neural probe can detect clearer signals.
Microfabricated Fuel Cells with Thin-Film Silicon Dioxide Proton Exchange Membranes (2005)

Microfabricated fuel cells have been designed and constructed on silicon integrated circuit wafers using many processes common in integrated circuit fabrication, including sputtering, polymer spin coating, reactive ion etching, and photolithography. Proton exchange membranes (PEMs) for an "integrated" fuel cell have been made by low-temperature, plasma-enhanced chemical vapor deposition of silicon dioxide. Fuel delivery channels were made through the use of a patterned sacrificial polymer below the PEM and anode catalyst. Platinum-ruthenium catalyst was deposited by dc sputtering. The resistivity of the oxide films was higher than traditional polymer electrolyte membranes, e.g., Nafion, but they were also much thinner. Thus, the "area-resistance" (product of resistivity times thickness) was similar. Fuel cell performance shows that the amount of catalyst in the thin-film electrodes chiefly limits the performance. Steady-state power densities of at 0.3 V were achieved for a double-layer sputtered anode catalyst device with hydrogen fuel at room temperature.
ChemInform Abstract: Asymmetric Synthesis of (+)‐Febrifugine and (+)‐Isofebrifugine Using Yeast Reduction. (2001)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Regulation of both gene expression and protein stability provides genetically assisted target evaluation (GATE) for microbial target validation (2001)

The attempt to develop novel antibiotics, active against organisms resistant to current therapies, has led researchers to seek and explore new drug targets. The rapid sequencing and analysis of entire microbial genomes has identified large numbers of genes that may be sufficiently different from their human counterparts to be exploited as targets for antimicrobial treatment. As a first step, the importance of the various putative targets for microbial growth and survival must be assessed. Emerging validation technologies are becoming increasingly sophisticated and, in certain cases, allow prioritisation of the best targets. In this paper, genetically assisted target evaluation (GATE) is introduced as a versatile target validation technology. GATE concomitantly manipulates both synthesis and stability of the targeted protein using copper ions as an effector. This technology allows rapid quantitation of the lethal consequences of inactivation of targeted gene products in Saccharomyces cerevisiae. Additional tools can then be applied to extend these results into pathogenic organisms, such as Candida albicans.
Sequential Deposition of Electrochromic MoO3Thin Films with High Coloration Efficiency and Stability (2017)

Effect of thin film deposition route on the morphology and performance of molybdenum oxide (MoO3) based electrochromic devices was investigated. For the deposition of thin films, a sequential deposition method, which includes ultrasonic spray pyrolysis (USP) and thermal evaporation methods was used. Films deposited solely using either USP or thermal evaporation method were used as control samples. Following deposition, MoO3 thin films were then characterized using X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy and atomic force microscopy. Surface characteristics and chemical structure of the deposited thin films were found to depend extensively on the deposition route. Electrochromic performance and reversibility of the samples were evaluated using ultraviolet-visible spectrophotometer and cyclic voltammetry. Sample prepared by USP method showed low coloration efficiency (16 cm(2) C-1), but high stability. In contrast, sample prepared by thermal evaporation had high coloration efficiency (30 cm(2) C-1), but low stability. Sample prepared by sequential deposition method showed the highest coloration efficiency (33 cm(2) C-1) among other samples and maintained its stability with cycling. The sequential deposition route investigated in this work is highly promising and might be extended to other metal oxide systems. (c) 2017 The Electrochemical Society.
E-018 (2012)

Bertelsen, Randi; Longnecker, Matthew; Jaramillo, Renee; Zhang, Yanmei; Hoppin, Jane; Parsonnet, Julie; Zeldin, Darryl; London, Stephanie Author Information
Extreme non-linear elasticity and transformation optics (2010)

Transformation optics is a powerful concept for designing novel optical components such as high transmission waveguides and cloaking devices. The selection of specific transformations is a non-unique problem. Here we reveal that transformations which allow for all dielectric and broadband optical realizations correspond to minimizers of elastic energy potentials for extreme values of the mechanical Poisson's ratio ν. For TE (Hz) polarized light an incompressible transformation ν = 1/2 is ideal and for TM (Ez) polarized light one should use a compressible transformation with negative Poissons's ratio ν = -1. For the TM polarization the mechanical analogy corresponds to a modified Liao functional known from the transformation optics literature. Finally, the analogy between ideal transformations and solid mechanical material models automates and broadens the concept of transformation optics.
Thermally Conductive-Silicone Composites with Thermally Reversible Cross-links (2016)

Thermally conductive-silicone composites that contain thermally reversible cross-links were prepared by blending diene- and dienophile-functionalized polydimethylsiloxane (PDMS) with an aluminum oxide conductive filler. This class of thermally conductive-silicones are useful as thermal interface materials (TIMs) within Information Technology (IT) hardware applications to allow rework of valuable components. The composites were rendered reworkable via retro Diels-Alder cross-links when temperatures were elevated above 130 °C and required little mechanical force to remove, making them advantageous over other TIM materials. Results show high thermal conductivity (0.4 W/m·K) at low filler loadings (45 wt %) compared to other TIM solutions (>45 wt %). Additionally, the adhesion of the material was found to be ∼7 times greater at lower temperatures (25 °C) and ∼2 times greater at higher temperatures (120 °C) than commercially available TIMs.
A Policy Control Mechanism in IS-IS Using Administrative Tags (2008)

This document describes an extension to the IS-IS protocol to add
operational capabilities that allow for ease of management and control
over IP prefix distribution within an IS-IS domain. This document
enhances the IS-IS protocol by extending the information that a
Intermediate System (IS) [router] can place in Link State Protocol
Data Units (LSPs) for policy use. This extension will provide
operators with a mechanism to control IP prefix distribution
throughout multi-level IS-IS domains. Additionally, the information
can be placed in LSPs that have TLVs as yet undefined, if this
information is used to convey the same meaning in these future TLVs as
it is used in the currently defined TLVs.
SPECT detectors: the Anger Camera and beyond (2011)

The development of radiation detectors capable of delivering spatial information about gamma-ray interactions was one of the key enabling technologies for nuclear medicine imaging and, eventually, single-photon emission computed tomography (SPECT). The continuous sodium iodide scintillator crystal coupled to an array of photomultiplier tubes, almost universally referred to as the Anger Camera after its inventor, has long been the dominant SPECT detector system. Nevertheless, many alternative materials and configurations have been investigated over the years. Technological advances as well as the emerging importance of specialized applications, such as cardiac and preclinical imaging, have spurred innovation such that alternatives to the Anger Camera are now part of commercial imaging systems. Increased computing power has made it practical to apply advanced signal processing and estimation schemes to make better use of the information contained in the detector signals. In this review we discuss the key performance properties of SPECT detectors and survey developments in both scintillator and semiconductor detectors and their readouts with an eye toward some of the practical issues at least in part responsible for the continuing prevalence of the Anger Camera in the clinic.
1-Imidazolyl-Derivatives of 2-Hydroxy-3-phenoxypropane (1968)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXT1-Imidazolyl-Derivatives of 2-Hydroxy-3-phenoxypropaneV. Sunjic, D. Kolbah, F. Kajfez, and N. BlazevicCite this: J. Med. Chem. 1968, 11, 6, 1264–1265Publication Date (Print):November 1, 1968Publication History Published online20 September 2004Published inissue 1 November 1968https://pubs.acs.org/doi/10.1021/jm00312a611https://doi.org/10.1021/jm00312a611research-articleACS PublicationsRequest reuse permissionsArticle Views60Altmetric-Citations5LEARN 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 optionsGet e-Alertsclose Get e-Alerts
ChemInform Abstract: Synthesis of the Glucoallosamidin Pseudodisaccharide: Use of an Efficient Hg(II)‐Mediated Cyclization. (1996)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Correlative imaging of ionic transport and electronic structure in nano Li0.5FePO4 electrodes (2019)

Phase separation and electronic structure variation of Li<sub>0.5</sub>FePO<sub>4</sub>, both in the bulk and surface, under concurrent lithiation, has been tracked by synchrotron X-ray microscopies. Oxygen K-edge XANES along with DFT calculations reveal unusual electronic structure varition which is attributable to the observed lithium gradient and interparticle transport. The new insights will benefit the future design of advanced batteries.
Feature Extraction in IR Images Via Synchronous Video Detection (1989)

IR video images acquired by scanning imaging radiometers are subject to several problems which make measurement of small temperature differences difficult. Among these problems are 1) aliasing, which occurs When events at frequencies higher than the video frame rate are observed, 2) limited temperature resolution imposed by the 3-bit digitization available in existing commercial systems, and 3) susceptibility to noise and background clutter. Bandwidth narrowing devices (e.g. lock-in amplifiers or boxcar averagers) are routinely used to achieve a high degree of signal to noise improvement for time-varying 1-dimensional signals. We will describe techniques which allow similar S/N improvement for 2-dimensional imagery acquired with an off the shelf scanning imaging radiometer system. These techniques are iplemented in near-real-time, utilizing a microcomputer and specially developed hardware and software . We will also discuss the application of the system to feature extraction in cluttered images, and to acquisition of events which vary faster than the frame rate.
Platelet-induced vascular smooth muscle cell proliferation is modulated by the growth amplification factors serotonin and adenosine diphosphate. (1994)

Therefore, serotonin and ADP contribute significantly, in synergy with peptide growth factors, to the platelet-induced SMC proliferative response. We propose that in vivo serotonin and ADP act as amplification factors for SMC proliferation at sites of vascular injury.
Dissecting the Molecular Relationship Among Various Cardiogenic Progenitor Cells (2013)

Our study indicates that cardiac ckit(+) cells represent the most primitive population in the rodent heart. Primitive cells of cardiac versus BM origin differ significantly with respect to stemness and cardiac lineage-specific genes, and molecules involved in DNA replication and repair. The detailed molecular profile of progenitors reported here will serve as a useful reference to determine the molecular identity of progenitors used in future preclinical and clinical studies.
Layer-by-layer epitaxial growth of polar MgO(111) thin films (2010)

We have observed layer-by-layer epitaxial growth mode of MgO (111) films on yttrium stabilized zirconia (111) substrates with NiO buffer layers by pulsed laser deposition despite a strong electrostatic instability of the [111] polar growth direction. Layer-by-layer growth has been realized up to $\ensuremath{\sim}10$ MgO layers. For thicker films with 10--500 MgO layers, although clear step and terrace structures disappear, the root mean square surface roughness remains as small as $\ensuremath{\sim}0.2\text{ }\text{nm}$ with high crystalline quality comparable to single-crystals. MgO (111) films with the atomically flat surface thus obtained can be a platform to study polar surfaces and interfaces of simple binary oxides.