gebhart/patrepeval huggingface dataset:
Investigation of TSV noise coupling in 3D-ICs using an experimental validated 3D TSV circuit model including Si substrate effects and TSV capacitance inversion behavior after wafer thinning (2016)

This paper investigates the influence of TSV noise coupling on nearby devices based on an extended 3D TSV circuit model. This model not only takes into account the complex RF field distributions in bulk Si, but also incorporates the anomalous TSV capacitance inversion behavior, which has been found to occur due to the presence of fixed charges in the backside passivation layer after wafer thinning. The extended 3D TSV circuit model is validated by the excellent agreement between the simulation results and experimental data. It demonstrates that the inversion behavior of the TSV capacitance increases the noise coupling to adjacent devices mainly in the low frequency range. Furthermore, we show that noise mitigation techniques can be easily implemented in this 3D circuit model to predict the extent of noise coupling alleviation.
Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry of N-Linked Carbohydrates and Related Compounds (2000)

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry of N-linked carbohydrates (those linked to asparagine in glycoproteins) was first reported in 1991 by Mock et al. [1] and provides a simple and sensitive method for producing spectra from underivatized N-linked glycans. It has been estimated that MALDI is about 10 to 100 times more sensitive than fast-atom bombardment FAB) for glycan analysis [2], and does not require derivatization by permethylation or peracetylation, as required by FAB, to obtain a signal. When recorded with linear time-of-flight (TOF) mass spectrometers, MALDI mass spectra of neutral N-linked glycans contain few, if any, fragment ions and so the technique provides a rapid method for glycan profiling. The spectrum of N-linked glycans released from chicken ovalbumin, shown in Fig. 1 illustrates the type of result that can be obtained. Structures of the glycans producing the peaks are shown in Table 1. The masses of the peaks can lead directly to the compositions ofthe constituent glycans in terms oftheir isobaric monosaccharide compositions, but determination of further structural details requires production of fragment ions or coupling to other methods such as exoglycosidase digestion as described below. Acidic N-linked glycans produce more fragmentation than neutral glycans and are generally more difficult to handle. Nevertheless, they provide excellent spectra under the right conditions. This paper summarizes work in this area and presents examples of data recorded in our laboratory.
RA-CVS: Cooperating at low power to stream compressively sampled videos (2013)

Video streaming applications are becoming increasingly popular as low priced video-enabled mobile devices (such as smart phones) become more common. However, traditional video streaming systems are not designed for mobile devices, and require both high computational complexity at the video sensor and very high channel quality to achieve good performance. Our recently proposed compressive video sensing (CVS) video streaming system is a low complexity, low power compressed-sensing-based encoder designed to address these challenges. However, even using CVS, the energy consumption of multimedia sensors is still much higher than that of traditional scalar sensors. In this article, we present a cooperative relay-assisted compressed video sensing (RA-CVS) system that takes advantage of the error resilience of video encoded using CVS to maintain good video quality at the receiver while significantly reducing the required SNR, and therefore the required transmission power at the multimedia sensor node. This system uses the natural error resilience of CS encoded video signals to design a cooperative scheme that directly reduces the mean squared error (MSE) of the reconstructed CS samples representing a video frame, which allows the receiver to correctly reconstruct the video even at very low SNR levels. The proposed system is tested using both simulation and USRP2 testbed evaluation and is shown to outperform traditional cooperative systems in terms of received video quality as a function of channel SNR.
Catalytic Reduction of Dinitrogen to Ammonia at a Single Molybdenum Center (2006)

ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionCatalytic Reduction of Dinitrogen to Ammonia at a Single Molybdenum CenterRichard R. SchrockCite this: Acc. Chem. Res. 2006, 39, 2, 167Publication Date (Web):January 19, 2006Publication History Published online19 January 2006Published inissue 1 February 2006https://pubs.acs.org/doi/10.1021/ar068000chttps://doi.org/10.1021/ar068000ccorrectionACS PublicationsCopyright © 2006 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views1131Altmetric-Citations3LEARN 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 PDF (20 KB) Get e-Alertsclose Get e-Alerts
Electro-osmotically driven liquid delivery method and apparatus (2023)

Method and apparatus for controlling precisely the composition and delivery of liquid at sub-.mu.L/min flow rate. One embodiment of such a delivery system is an electro-osmotically driven gradient flow delivery system that generates dynamic gradient flows with sub-.mu.L/min flow rates by merging a plurality of electro-osmotic flows. These flows are delivered by a plurality of delivery arms attached to a mixing connector, where they mix and then flow into a receiving means, preferably a column. Each inlet of the plurality of delivery arms is placed in a corresponding solution reservoir. A plurality of independent programmable high-voltage power supplies is used to apply a voltage program to each of the plurality of solution reservoirs to regulate the electro-osmotic flow in each delivery arm. The electro-osmotic flow rates in the delivery arms are changed with time according to each voltage program to deliver the required gradient profile to the column.
Design Challenges of Interactive Spherical User Interfaces (2009)

We present our experience on designing interactive applications for Sphere, our multi-touch-sensitive spherical display prototype. We believe that the compelling application design for future non-flat user interfaces will greatly depend on exploiting some
Molecular characterization of virulent Newcastle disease viruses isolated in Mali in 2007 and 2008 (2009)

International audience
Predicting stress response and improved protein overproduction in Bacillus subtilis (2022)

Bacillus subtilis is a well-characterized microorganism and a model for the study of Gram-positive bacteria. The bacterium can produce proteins at high densities and yields, which has made it valuable for industrial bioproduction. Like other cell factories, metabolic modeling of B. subtilis has discovered ways to optimize its metabolism toward various applications. The first genome-scale metabolic model (M-model) of B. subtilis was published more than a decade ago and has been applied extensively to understand metabolism, to predict growth phenotypes, and served as a template to reconstruct models for other Gram-positive bacteria. However, M-models are ill-suited to simulate the production and secretion of proteins as well as their proteomic response to stress. Thus, a new generation of metabolic models, known as metabolism and gene expression models (ME-models), has been initiated. Here, we describe the reconstruction and validation of a ME model of B. subtilis, iJT964-ME. This model achieved higher performance scores on the prediction of gene essentiality as compared to the M-model. We successfully validated the model by integrating physiological and omics data associated with gene expression responses to ethanol and salt stress. The model further identified the mechanism by which tryptophan synthesis is upregulated under ethanol stress. Further, we employed iJT964-ME to predict amylase production rates under two different growth conditions. We analyzed these flux distributions and identified key metabolic pathways that permitted the increase in amylase production. Models like iJT964-ME enable the study of proteomic response to stress and the illustrate the potential for optimizing protein production in bacteria.
Acquired Resistance to Dasatinib in Lung Cancer Cell Lines Conferred by DDR2 Gatekeeper Mutation and NF1 Loss (2013)

The treatment of non-small cell lung cancer has evolved dramatically over the past decade with the adoption of widespread use of effective targeted therapies in patients with distinct molecular alterations. In lung squamous cell carcinoma (lung SqCC), recent studies have suggested that DDR2 mutations are a biomarker for therapeutic response to dasatinib and clinical trials are underway testing this hypothesis. Although targeted therapeutics are typically quite effective as initial therapy for patients with lung cancer, nearly all patients develop resistance with long-term exposure to targeted drugs. Here, we use DDR2-dependent lung cancer cell lines to model acquired resistance to dasatinib therapy. We perform targeted exome sequencing to identify two distinct mechanisms of acquired resistance: acquisition of the T654I gatekeeper mutation in DDR2 and loss of NF1. We show that NF1 loss activates a bypass pathway, which confers ERK dependency downstream of RAS activation. These results indicate that acquired resistance to dasatinib can occur via both second-site mutations in DDR2 and by activation of bypass pathways. These data may help to anticipate mechanisms of resistance that may be identified in upcoming clinical trials of anti-DDR2 therapy in lung cancer and suggest strategies to overcome resistance.
Analysis of misregistration-induced color shifts in the superposition of periodic screens (2006)

We present an analysis and model for evaluation of color shifts in halftone printing caused by inter-separation misregistration for periodic clustered dot halftones. Using a lattice framework, we present intuitive analysis that demonstrates conditions under which the average color is asymptotically invariant under inter-separation misregistration. Combining the framework with an analytic representation for the halftone dots, we develop a hybrid analytical-numerical model for quantitatively estimating color shifts as a function of inter-separation misregistration. The model is compared against experimental data for a xerographic printer.
Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones (2019)

This paper presents Navion, an energy-efficient accelerator for visual-inertial odometry (VIO) that enables autonomous navigation of miniaturized robots (e.g., nano drones), and virtual reality (VR)/augmented reality (AR) on portable devices. The chip uses inertial measurements and mono/stereo images to estimate the drone's trajectory and a 3-D map of the environment. This estimate is obtained by running a state-of-theart VIO algorithm based on non-linear factor graph optimization, which requires large irregularly structured memories and heterogeneous computation flow. To reduce the energy consumption and footprint, the entire VIO system is fully integrated on-chip to eliminate costly off-chip processing and storage. This paper uses compression and exploits both structured and unstructured sparsity to reduce on-chip memory size by 4.1×. Parallelism is used under tight area constraints to increase throughput by 43%. The chip is fabricated in 65-nm CMOS and can process 752 × 480 stereo images from EuRoC data set in real time at 20 frames per second (fps) consuming only an average power of 2 mW. At its peak performance, Navion can process stereo images at up to 171 fps and inertial measurements at up to 52 kHz, while consuming an average of 24 mW. The chip is configurable to maximize accuracy, throughput, and energy-efficiency tradeoffs and to adapt to different environments. To the best of our knowledge, this is the first fully integrated VIO system in an application-specified integrated circuit (ASIC).
A Novel Serine Protease Target for Prevention of Breast Cancer by a Soy Bean-Derived Inhibitor (2000)

Abstract : This project established the interactions of a novel transmembrane, protease, matritpase, with the chemopreventive Bowman Birk Inhibitor (BBI), compared to its cognate, physiological inhibitor HAI-1. We first established the inhibitory interaction between matriptase and HAI- 1, and between matriptase and BBI; we built a 3-D structure of the protease domain of matriptase, based on the homology modeling using the X-ray structure of human thrombin as template. This modeled matriptase structure was used in a structure-based screening of inhibitors. Screening the NCI small compounds database, allowed discovery of bis-benramidines as potent matriptase inhibitors. We also identified natural trypsin inhibitor, SFTI, from sunflower seed, as a potent inhibitor of matriptase. We found that in non-transformed mammary epithelial cells, matriptase can be activated by lipid phosphates; the activated matriptase is then quickly binds to HAI-1, and is shed into media. Thus, engagement of membrane-bound matriptase with HAI-1 leads to its extracellular shedding. in addition, we identified hepatocyte growth factor and pro-uPA as likely physiological protein substrates of matriptase. Finally, we found that breast cancer cells constitutively activate matriptase, but that cells are not modulated in their proliferation or differentiation by matriptase inhibition in vitro, probably due to the lack of relevant matriptase substrates.
Design of antialiasing patterns for time-sequential sampling of spatiotemporal signals (1984)

The aliasing that results from time-sequential sampling of spatiotemporal signals is strongly dependent on the order in which the spatial points are sampled. To design sampling patterns that reduce aliasing, the sequence of sampling points is mapped into several shorter subsequences via the chinese remainder theorem. A pairwise exchange algorithm then finds the best ordering of each subsequence. The patterns obtained with this procedure perform substantially better than those known previously, and perform as well as the optimal patterns that can be expressed in closed form when the signal is termporally undersampled by less than a factor of 2.
A phase II, multicenter, randomized, double-blind, placebo-controlled, ascending, multidose, U.S. study of oral LX1606 (aka LX1032) in patients with refractory symptomatic carcinoid syndrome. (2011)

TPS168 Background: Carcinoid tumors are associated with serotonin (5-HT) secretion. High levels of serotonin are thought to contribute to the flushing, diarrhea, and abdominal discomfort observed in patients with carcinoid syndrome (CS). LX1606 (aka LX1032), an oral peripheral tryptophan hydroxylase (TPH) inhibitor that blocks serotonin synthesis, offers a potential novel therapeutic approach to CS. LX1606 has been granted “Fast Track” designation by the FDA. Methods: This study is evaluating the safety, tolerability, and preliminary efficacy of LX1606 in patients with CS. Endpoints include: reduction in daily bowel movements (BM), cutaneous flushing episodes, abdominal discomfort, and use of rescue short-acting octreotide or other rescue medication. Pharmacokinetics and pharmacodynamics (including whole blood 5-HT and urinary 5-HIAA) will also be assessed. Treatment: Patients with octreotide-refractory CS will be sequentially assigned to receive 4-weeks of LX1606 or placebo, in a 3:1 ratio. Oral LX1606 or placebo are administered 3 times daily; dose cohorts are 150 mg, 250 mg, 350 mg, 500 mg. All patients will continue stable-dose octreotide LAR for the duration of the study. After completing the 4-week blinded portion of the study, patients may receive open-label drug at their previously assigned dose level for 32 additional weeks. After completion of the dose escalation phase, 8 additional patients will receive treatment at the identified optimal dose level. Key eligibility: Patients with octreotide-refractory carcinoid syndrome, (defined as >4 BM/day).Current enrollment: 16 patients have been treated in the dose escalation phase. LX1606 500 mg TID has been identified as the optimal dose. As of 2/2011, enrollment is ongoing in the expansion phase. ClinicalTrials.gov registry: NCT00853047.
Developmental Role for Endocannabinoid Signaling in Regulating Glucose Metabolism and Growth (2013)

Treatment of ob/ob (obese) mice with a cannabinoid receptor 1 (Cnr1) antagonist reduces food intake, suggesting a role for endocannabinoid signaling in leptin action. We further evaluated the role of endocannabinoid signaling by analyzing the phenotype of Cnr1 knockout ob/ob mice. Double mutant animals show a more severe growth retardation than ob/ob mice with similar levels of adiposity and reduced IGF-I levels without alterations of growth hormone (GH) levels. The double mutant mice are also significantly more glucose intolerant than ob/ob mice. This is in contrast to treatment of ob/ob mice with a Cnr1 antagonist that had no effect on glucose metabolism, suggesting a possible requirement for endocannabinoid signaling during development for normal glucose homeostasis. Double mutant animals also showed similar leptin sensitivity as ob/ob mice, suggesting that there are developmental changes that compensate for the loss of Cnr1 signaling. These data establish a role for Cnr1 during development and suggest that compensatory changes during development may mitigate the requirement for Cnr1 in mediating the effects of leptin. The data also suggest a developmental role for Cnr1 to promote growth, regulate the GH/IGF-I axis, and improve β-cell function and glucose homeostasis in the setting of leptin deficiency.
Social Trove: A Self-Summarizing Storage Service for Social Sensing (2015)

The increasing availability of smartphones, cameras, and wearables with instant data sharing capabilities, and the exploitation of social networks for information broadcast, heralds a future of real-time information overload. With the growing excess of worldwide streaming data, such as images, geotags, text annotations, and sensory measurements, an increasingly common service will become one of data summarization. The objective of such a service will be to obtain a representative sampling of large data streams at a configurable granularity, in real-time, for subsequent consumption by a range of data-centric applications. This paper describes a general-purpose self-summarizing storage service, called Social Trove, for social sensing applications. The service summarizes data streams from human sources, or sensors in their possession, by hierarchically clustering received information in accordance with an application-specific distance metric. It then serves a sampling of produced clusters at a configurable granularity in response to application queries. While Social Trove is a general service, we illustrate its functionality and evaluate it in the specific context of workloads collected from Twitter. Results show that Social Trove supports a high query throughput, while maintaining a low access latency to the produced real-time application-specific data summaries. As a specific application case-study, we implement a fact-finding service on top of Social Trove.
DOPPLER EVALUATION OF HEMODYNAMIC CHANGES IN UTERINE BLOOD FLOW (2006)

Postpartum hemorrhage is the principal cause of maternal mortality. Up to 250,000 women a year die as a result of the condition, and yet most of these deaths could be avoided. The knowledge necessary to manage the condition effectively already exists, so that today most women die from this condition in childbirth not because the knowledge to save them is unknown, but rather because that knowledge has not been effectively transferred to the medical professionals and others whose role is to care for mothers in childbirth.\nThis book is the only comprehensive textbook available on postpartum hemorrhage. The first edition created a great impact when published in 2006 and has been very widely read and used around the world, with some 15,000 copies distributed to less resourced countries and with the text appearing in a number of foreign language editions.
Manufacturability-aware mask assignment in multiple patterning lithography (2016)

Due to the progress of the process technology, multiple patterning lithography (MPL) is one of the most promising techniques in the 22 nm logic node and beyond. In MPL, features are iteratively formed onto a wafer by exposures. Mask misalignment is caused during MPL process and it reduces the yield of the produced LSI in MPL. To prevent yield loss caused by the mask misalignment, mask assignment methods that take the manufacturability into consideration are desired. Recent mask assignment techniques in MPL are introduced.
Heart Rate Reduction With Ivabradine Protects Against Left Ventricular Remodeling by Attenuating Infarct Expansion and Preserving Remote‐Zone Contractile Function and Synchrony in a Mouse Model of Reperfused Myocardial Infarction (2016)

High-frequency ultrasound speckle-tracking demonstrated decreased left ventricular remodeling and dyssynchrony, as well as improved mechanical performance in remote myocardium after heart rate reduction with ivabradine.
Effect of Ligand Electronics on the Reversible Catalytic Hydrogenation of CO2 to Formic Acid Using Ruthenium Polyhydride Complexes: A Thermodynamic and Kinetic Study (2020)

Hydrogenation of CO2 to formic acid or formates is often carried out using catalysts of the type H4Ru(PR3)3 (1). These catalysts are also active for the reverse reaction, i.e., the decomposition of formic acid to H2 and CO2. While numerous catalysts have been synthesized for reactions in both directions, the factors controlling the elementary steps of the catalytic cycle remain poorly understood. In this work, we synthesize a series of compounds of type H4Ru(P(C6H4R)3)3 containing both electron-donating and electron-withdrawing groups and analyze their influence on the kinetic and thermodynamic parameters of CO2 insertion and deinsertion. The data are correlated with the catalytic performance of the complexes through linear free-energy relationships. The results show that formic acid dissociation from the catalyst is rate-determining during CO2 hydrogenation, while deinsertion is critical for the decomposition reaction.