gebhart/patrepeval huggingface dataset:
Electrically Detected Magnetic Resonance Study of High-Field Stressing in SiOC:H Films (2022)

We have investigated the initial stages of dielectric breakdown in high-field stressed low-k dielectric (SiOC:H) capacitor structures. Our study makes use of electrically detected magnetic resonance (EDMR) via spin-dependent trap-assisted tunneling (SDTAT). We find at least two distinct stages precede the breakdown of the dielectrics: a very fast initial stage associated with an overall decrease in leakage current and a rapid generation of Si dangling bonds, and a much slower subsequent intermediate stage associated with an overall recovery of leakage current with little further Si dangling bond trap generation. The generation of these Si dangling bonds early-on in the device’s lifetime seems to be associated with the initial decrease in conductance very early in device lifetimes observed in previous electrical studies.
Log-based receiver-reliable multicast for distributed interactive simulation (1995)

Reliable multicast communication is important in large-scale distributed applications. For example, reliable multicast is used to transmit terrain and environmental updates in distributed simulations. To date, proposed protocols have not supported these applications' requirements, which include wide-area data distribution, low-latency packet loss detection and recovery, and minimal data and management over-head within fine-grained multicast groups, each containing a single data source.In this paper, we introduce the notion of Log-Based Receiver-reliable Multicast (LBRM) communication, and we describe and evaluate a collection of log-based receiver reliable multicast optimizations that provide an efficient, scalable protocol for high-performance simulation applications. We argue that these techniques provide value to a broader range of applications and that the receiver-reliable model is an appropriate one for communication in general.
Transient moment to rotate inner walls of vertical concentric annuli in the natural convection regime (2009)

Purpose – The paper seeks to focus on obtaining the transient torque required to rotate the inner cylinder in open ended vertical concentric annuli for a fluid of Pr = 0.7 in the laminar natural convection flow regime over a wide range of the controlling parameter Gr2/Ta. The inner wall is heated and subjected to an impulsive rotation while the outer one is stationary and maintained adiabatic.
Chelating copolymers containing photosensitive functionalities. 2 (1984)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTChelating copolymers containing photosensitive functionalities. 2G. Sudesh Kumar, Patricia DePra, K. Zhang, and D. C. NeckersCite this: Macromolecules 1984, 17, 12, 2463–2467Publication Date (Print):December 1, 1984Publication History Published online1 May 2002Published inissue 1 December 1984https://pubs.acs.org/doi/10.1021/ma00142a002https://doi.org/10.1021/ma00142a002research-articleACS PublicationsRequest reuse permissionsArticle Views176Altmetric-Citations19LEARN 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
Performance Analysis of Distributed Auxiliary Radio Telescopes Under Shared Spectrum Access Paradigm and Cooling Power Constraint (2017)

A conflict of the spectrum rights and needs between active wireless communication systems and passive radio astronomy systems (RASs) has become substantially greater due to the phenomenal expansion of wireless communications and increased interest in RAS observation. For sustainable growth and coexistence of cellular wireless communications (CWC) and RAS, a coordinated shared spectrum access paradigm was recently introduced. Embracing such paradigm, this paper proposes a distributed auxiliary radio telescope (DART) system which can geographically and spectrally coexist with CWC while offering additional capability or performance enhancement to RAS. Theoretical performance analysis of the DART system with different quantization resolutions is presented, and approximate closed-form expressions are obtained. Adaptation of cooling power of DART receivers according to the time-varying ambient temperature is also proposed. Furthermore, an analytical expression for the DART system parameters under the shared spectrum access paradigm and cooling power constraint to achieve the same performance as the existing single-dish RAS with a radio quiet zone is developed to provide guidance in the DART system design. The numerical and simulation results illustrate feasibility and potentials of the proposed DART system.
Enantioselective Total Synthesis of Callipeltoside A (2002)

An asymmetric total synthesis of callipeltoside A has been accomplished highlighted by a catalytic enantioselective vinylogous aldol reaction and a boron-mediated anti-aldol reaction influenced by remote stereocontrol.
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing (2020)

General contact-rich manipulation problems are long-standing challenges in robotics due to the difficulty of understanding complicated contact physics. Deep reinforcement learning (RL) has shown great potential in solving robot manipulation tasks. However, existing RL policies have limited adaptability to environments with diverse dynamics properties, which is pivotal in solving many contact-rich manipulation tasks. In this work, we propose Contact-aware Online COntext Inference (COCOI), a deep RL method that encodes a context embedding of dynamics properties online using contact-rich interactions. We study this method based on a novel and challenging non-planar pushing task, where the robot uses a monocular camera image and wrist force torque sensor reading to push an object to a goal location while keeping it upright. We run extensive experiments to demonstrate the capability of COCOI in a wide range of settings and dynamics properties in simulation, and also in a sim-to-real transfer scenario on a real robot (Video: https://youtu.be/nrmJYksh1Kc)
A selectively metallized, microfabricated W-band meander line TWT circuit (2008)

The development of a selective metallization process capable of metallizing only the top of a microfabricated, raised meander line ridge is described. This fabrication process has unique potential in the development of millimetre-wave and terahertz regime slow wave structures for travelling wave tubes. The fabrication process will be described and the latest images and measured data will be presented.
Supplementary Table 2 from Targeting eIF4A-Dependent Translation of KRAS Signaling Molecules (2023)

&lt;p&gt;Supplementary Table 2&lt;/p&gt;
Optimization and Pipe-Sizing Decisions (1995)

An important reason for the lack of wide acceptance of pipe-sizing optimization in engineering practice is the fact that there is not one single pipe-sizing problem, but rather several significantly different types of pipe-sizing problems. These include long-term master planning, preliminary design, subdivision layout, and rehabilitation, which are also related to problems of tank sizing and location, tank-overflow level, pressure-zone boundary, pump selection, pump operation, and control-valve setting. Each type of problem brings specific areas of concern and specific assumptions that should be used in preparing pipe-sizing models. By making model developers aware of the context in which these sizing decisions are made, this paper should contribute to development of more relevant and widely used models.
Mercury Vaporization from Amalgams with Varied Alloy Compositions (1995)

The fact that mercury is released from dental amalgam restorations after abrasion provides a source of continued controversy over the safe use of this material. Studies have shown that the amount and rate of mercury release vary for different amalgam products. The objective of this study was to determine how alloy composition affects mercury vaporization from experimental amalgams with similar alloy particle size and shape and percent residual mercury. An hypothesis to be tested was that mercury release is dependent upon the concentration of tin in the silver-mercury matrix phase of the amalgam. Seven spherical amalgam alloys (two low-copper and five high-copper) were made by a dental manufacturer (Tokuriki Honten, Japan). Trituration conditions were adjusted so that all set amalgams had the same residual Hg (47.3%). ADA-type amalgam cylinders were aged for 14 days at 37 degrees C, then lightly wet-abraded on #600 silicon carbide, dried, and placed into a tube through which air was blown at a rate of 750 mL/min. Mercury vaporization was monitored with a gold film analyzer (Jerome 411) for 30 min. Total Hg release was determined by integration. We analyzed polished specimens via electron microprobe to determine composition, volume fraction of silver-mercury matrix (gamma 1), and amount of tin in the gamma 1. The results showed a strong negative correlation (r2 = 0.941) between the log of total mercury released and the amount of tin in the gamma 1. The effect of alloy composition, specifically the presence or absence of zinc in the amalgam, could not be definitively determined.(ABSTRACT TRUNCATED AT 250 WORDS)
Improving WSN application QoS and network lifetime management using SOA strategies (2011)

Quality of service (QoS) applications and network lifetime management are key challenges in military Wireless Sensor Networks (WSNs). Service-level guarantees that are achievable in Service Oriented Architecture (SOA) can ensure reliability, availability and overall usability in any application. SOA can be useful in providing needed capabilities for the military in the traditional needs of command, control, communications, computers, intelligence, information, surveillance and reconnaissance (often called C <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup> I <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> SR). Military capabilities such as joint capability, interworking capability, COTS, organization agility, swarming, situational awareness and faster decision making are common applications that can benefit from SOA capabilities and each requires a certain level of quality to be successful. SOA provides the ability to dynamically locate and execute services within a composite function plan to achieve the desired QoS. A composite function plan is a template (blueprint) used to create a composite service. How to create the necessary structure in a military WSN is still a research topic to achieve the required levels of quality of service. We present a strategy that uses dynamic service selection to achieve higher levels in quality of service for WSNs, while preserving network lifetime. The realization of these strategies will be achieved through a SOA middleware layer in the WSN.
Pharmacokinetic Analysis and Phase 1 Study of MRX-1024 in Patients Treated with Radiation Therapy with or without Cisplatinum for Head and Neck Cancer (2010)

There is a dose-dependent increase in D-met exposure following MRX-1024 administration at 50 and 100 mg/kg, and MRX-1024 is safe for use concurrent with combined radiation and chemotherapy. The observed rate of mucositis seems less than that for similar treatment regimens within the published literature.
Development and validation of an UHPLC-ESI-QTOF-MS method for quantification of the highly hydrophilic amyloid-β oligomer eliminating all-D-enantiomeric peptide RD2 in mouse plasma (2018)

During preclinical drug development, a method for quantification of unlabeled compounds in blood plasma samples from treatment or pharmacokinetic studies in mice is required. In the current work, a rapid, specific, sensitive and validated liquid chromatography mass-spectrometric UHPLC-ESI-QTOF-MS method was developed for the quantification of the therapeutic compound RD2 in mouse plasma. RD2 is an all-D-enantiomeric peptide developed for the treatment of Alzheimer’s disease, a progressive neurodegenerative disease finally leading to dementia. Due to RD2’s highly hydrophilic properties, the sample preparation and the chromatographic separation and quantification were very challenging. The chromatographic separation of RD2 and its internal standard were accomplished on an Acquity UPLC BEH C18 column (2.1 × 100 mm, 1.7 μm particle size) within 6.5 min at 50 °C with a flow rate of 0.5 mL/min. Mobile phases consisted of water and acetonitrile with 1% formic acid and 0.025% heptafluorobutyric acid, respectively. Ions were generated by electrospray ionization (ESI) in the positive mode and the peptide was quantified by QTOF-MS. The developed extraction method for RD2 from mouse plasma revealed complete recovery. The linearity of the calibration curve was in the range of 5.3 ng/mL to 265 ng/mL (r2 &gt; 0.999) with a lower limit of detection (LLOD) of 2.65 ng/mL and a lower limit of quantification (LLOQ) of 5.3 ng/mL. The intra-day and inter-day accuracy and precision of RD2 in plasma ranged from −0.54% to 2.21% and from 1.97% to 8.18%, respectively. Moreover, no matrix effects were observed and RD2 remained stable in extracted mouse plasma at different conditions. Using this validated bioanalytical method, plasma samples of unlabeled RD2 or placebo treated mice were analyzed. The herein developed UHPLC-ESI-QTOF-MS method is a suitable tool for the quantitative analysis of unlabeled RD2 in plasma samples of treated mice.
Monocytes of Patients with Type 1 Diabetes Harbour Enterovirus RNA (2015)

Our data indicate that monocytes of patients with T1D can harbor EV RNA and IFNα mRNA and can be infected with an EV in vitro.
Etude de l'équilibrage des courants de phases par convertisseur statique dans un réseau de distribution (2014)

International audience
Chemical analysis of Greek pollen - Antioxidant, antimicrobial and proteasome activation properties (2011)

The Greek pollen is rich in flavonoids and phenolic acids which indicate the observed free radical scavenging activity, the effects of pollen on human fibroblasts and the interesting antimicrobial profile.
Primary Structure of the Ovine Hypothalamic Luteinizing Hormone-Releasing Factor (LRF) (1972)

The primary structure of ovine hypothalamic hypophysiotropic luteinizing hormone-releasing factor, LRF, has been established as pGlu-His-Trp-Ser-Tyr-Gly-Leu-Arg-Pro-Gly-NH(2) by hydrolysis of the peptide with chymotrypsin or pyrrolidone-carboxylylpeptidase and by analysis of the products by an Edman-dansylation sequencing technique, as well as by mass spectrometry of the derived phenylthiohydantoins. A decapeptide with the proposed primary structure, prepared by total synthesis, gave the same result on sequencing. The synthetic decapeptide possesses the same biological activities as the native ovine LRF. The amino-acid sequence of ovine LRF is identical to that already published for porcine LRF.
The future car (2008)

The car of the future will be based on very advanced software and hardware technologies for improved safety and additional features such as autonomous driving, vehicle to vehicle communication, extensive communication and entertainment subsystems. What are the limiting factors for introducing new technology in cars? What are the standards, methods and tools that will be needed to bring these cars to market quickly and with guaranteed properties? The experts in the panel will address these questions and discuss their preferred solutions.
Safety and dose relationship of recombinant human activated protein C for coagulopathy in severe sepsis (2001)

rhAPC was safe and well-tolerated and demonstrated a dose-dependent reduction in D-dimer and interleukin 6 levels relative to placebo. The dose of 24 microg/kg/hr for 96 hrs was selected for use in future clinical studies.
Oxygen Generation from Carbon Dioxide for Advanced Life Support (2008)

The separation of pure oxygen from the atmosphere using ce- ramic oxygen generators (COGs) is well known and widely stud- ied. However, complete reduction of metabolically produced CO2 (into carbon and oxygen) has not received as much at- tention. This technology has the potential of reducing oxygen storage weight for life support if the oxygen can be recovered. Recently, we developed novel ceramic oxygen generators em- ploying a bilayer electrolyte of gadolinia-doped ceria and erbia- stabilized bismuth oxide for NASA's future exploration of Mars. The results showed that oxygen could be reliably produced from CO2 at temperatures as low as 400 °. The strategy discussed here for advanced life support systems employs a catalytic layer combined with a COG cell so that CO2 is reduced all the way to solid carbon and oxygen without carbon buildup on the COG cell and subsequent deactivation.
Simulation of worst case switching noise on a DDR2 interface (2008)

This paper describes a new technique to simulate worst case simultaneous switching noise on a DDR2 interface. The paper focuses on how the impedance response of the power distribution network can be used in determining an excitation pattern that results in the worst case switching noise on the interface.
Metal Iodide Mediated Ring Expansion of Cyclopropanecarboxylic Thioesters with Imines. (2006)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
ChemInform Abstract: A New Route to 2‐Fluoro‐1‐olefins Utilizing a Synthetic Equivalent for the 1‐Fluoroethene Anion. (1994)

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.
On the influence of vocabulary size and language models in unconstrained handwritten text recognition (2002)

In this paper we present a system for unconstrained handwritten text recognition. The system consists of three components: preprocessing, feature extraction and recognition. In the preprocessing phase, a page of handwritten text is divided into its lines and the writing is normalized by means of skew and slant correction, positioning and scaling. From a normalized text line image, features are extracted using a sliding window technique. From each position of the window nine geometrical features are computed. The core of the system, the recognizes is based on hidden Markov models. For each individual character, a model is provided. The character models are concatenated to words using a vocabulary. Moreover, the word models are concatenated to models that represent full lines of text. Thus the difficult problem of segmenting a line of text into its individual words can be overcome. To enhance the recognition capabilities of the system, a statistical language model is integrated into the hidden Markov model framework. To preselect useful language models and compare them, perplexity is used. Both perplexity as originally proposed and normalized perplexity are considered.
Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis (2021)

Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS, which can be compared across CNS regions, patients, and centres. In patients with multiple sclerosis, quantitative MRI techniques such as relaxometry, myelin imaging, magnetization transfer, diffusion MRI, quantitative susceptibility mapping, and perfusion MRI, complement conventional MRI techniques by providing insight into disease mechanisms. These include: (i) presence and extent of diffuse damage in CNS tissue outside lesions (normal-appearing tissue); (ii) heterogeneity of damage and repair in focal lesions; and (iii) specific damage to CNS tissue components. This review summarizes recent technical advances in quantitative MRI, existing pathological validation of quantitative MRI techniques, and emerging applications of quantitative MRI to patients with multiple sclerosis in both research and clinical settings. The current level of clinical maturity of each quantitative MRI technique, especially regarding its integration into clinical routine, is discussed. We aim to provide a better understanding of how quantitative MRI may help clinical practice by improving stratification of patients with multiple sclerosis, and assessment of disease progression, and evaluation of treatment response.
The ribulose monophosphate pathway operon encoding formaldehyde fixation in a thermotolerant methylotroph,Bacillus brevisS1 (2002)

The hps and phi genes encoding 3-hexulose-6-phosphate synthase and 6-phospho-3-hexuloisomerase, the key enzymes of the ribulose monophosphate (RuMP) pathway for formaldehyde fixation, were cloned from the chromosomal DNA of a thermotolerant methylotroph, Bacillus brevis S1. Enzyme induction and Northern blot analyses revealed that both the hps and phi genes are induced by methanol or ethanol, and that their expression is controlled polycistronically at the transcription stage. Sequence analysis also suggested that the hps and phi genes constitute an RuMP operon. The gene organization of the RuMP operon and its surrounding region are unique among bacteria possessing the RuMP pathway genes.
Lightweight Shufflenet Based CNN for Arrhythmia Classification (2022)

Recent advances in artificial intelligence (AI) and continuous monitoring of patients using wearable devices have enhanced the accuracy of diagnosing various arrhythmias, from the captured Electrocardiogram (ECG) signals. Achieving high accuracy when using Deep Neural Network (DNN) for ECG classification is accomplished at the cost of compute and memory intensive operations, thus limiting its deployment to devices with high computing capabilities, and makes it unsuitable for wearable edge devices. To facilitate the deployment of deep neural networks on wearable mobile edge devices with limited resources, a lightweight Convolution Neural Network (CNN) model based on the ShuffleNet architecture is proposed and implemented as a solution in this paper. A sliding window of variable stride is used to increase the number of under-represented classes in the database. Moreover, a novel encoding scheme is employed for labelling and training test set samples, allowing the model to detect multiple classes in one ECG segment. A loss function (Focal loss) that proved to be effective when applied for DNN training on an imbalanced dataset was also explored in this work. The proposed model outperformed traditional CNN with 9x less trainable parameters and improved the F1-score by 2%.