gebhart/patrepeval huggingface dataset:
Stereo ranging with verging cameras (1990)

A method of computing absolute range from stereo disparities by using verging cameras is presented. The approach differs from others by concentrating, through both analysis and experiment, on the effects caused by convergence, rather than on the general camera calibration problem. To compute stereo disparities, linear image features are extracted and matched using a hypothesize-and-verify method. To compute range, the relationship between object distance, vergence angle, and disparity is derived. Experimental results show the precision of the range computation, excluding mistaken matches, to be approximately 5% for object distances up to three meters and a baseline distance of 13 cm. Including mistaken matches results in performance that is an order of magnitude worse, leading the authors to suggest methods to identify and model them.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
An Adaptive Prosthetic Hand with Compliant Joints and EMG-based Control (2005)

In this paper some recent results about the experimental trials we are performing on a functional prosthetic hand characterized by an EMG-control and by a simple and low cost fabrication technology are shown. A compliant under-actuated prosthetic hand has been designed and fabricated. The five-fingered hand (both palm and fingers) is moulded as a soft polymeric single part with compliant joints and embedded tendon driven under-actuated mechanism for providing adaptive grasp. The maximum measured cylindrical grasping force is 30 N. The one DoF prosthetic hand is controlled using two pre-amplified EMG electrodes. The proposed EMG-based control is a Finite State Machine (FSM). A particular attention has been given to the calibration phase. In order to identify the end of the grasp, the intensity of the current is monitored. Moreover, the microcontroller stops the motor when the average current overcomes the value imposed. Compared to other EMG based controllers, the approach proposed is very simple but it presents a good robustness and needs a minimum computational cost.
Repressors Nrg1 and Nrg2 Regulate a Set of Stress-Responsive Genes in <i>Saccharomyces cerevisiae</i> (2005)

The yeast Saccharomyces cerevisiae responds to environmental stress by rapidly altering the expression of large sets of genes. We report evidence that the transcriptional repressors Nrg1 and Nrg2 (Nrg1/Nrg2), which were previously implicated in glucose repression, regulate a set of stress-responsive genes. Genome-wide expression analysis identified 150 genes that were upregulated in nrg1Delta nrg2Delta double mutant cells, relative to wild-type cells, during growth in glucose. We found that many of these genes are regulated by glucose repression. Stress response elements (STREs) and STRE-like elements are overrepresented in the promoters of these genes, and a search of available expression data sets showed that many are regulated in response to a variety of environmental stress signals. In accord with these findings, mutation of NRG1 and NRG2 enhanced the resistance of cells to salt and oxidative stress and decreased tolerance to freezing. We present evidence that Nrg1/Nrg2 not only contribute to repression of target genes in the absence of stress but also limit induction in response to salt stress. We suggest that Nrg1/Nrg2 fine-tune the regulation of a set of stress-responsive genes.
Measurements of the diffusion of dyestuffs (1935)

E. Valkó, Trans. Faraday Soc., 1935, 31, 230 DOI: 10.1039/TF9353100230
IPTV Basics, Technology, Operation and Services (2006)

GTP-binding activity was fractionated into two peaks (GI and GII) by chromatography on heparin-agarose. GTP-dependent PLC activity eluted as a single peak, which co-chromatographed with GTP-binding peak GII. Rechromatography of peak GII on heparin-agarose, in the presence of 0.5% sodium cholate, resulted in separation of PLC and GTP-binding activities, and loss of GTP-dependent PLC activity. Recombining fractions containing PLC and GTP-binding activities restored GTP-dependent PLC activity. A specific GTP-binding protein of 29,000 daltons was identified in peak GII by Western blotting of column fractions with [alpha-32P]GTP. These results demonstrate that the soluble phospholipase C from human platelets is regulated by GTP S-binding protein (G29).
Increased formate overflow is a hallmark of oxidative cancer (2018)

Formate overflow coupled to mitochondrial oxidative metabolism\ has been observed in cancer cell lines, but whether that takes place in the tumor microenvironment is not known. Here we report the observation of serine catabolism to formate in normal murine tissues, with a relative rate correlating with serine levels and the tissue oxidative state. Yet, serine catabolism to formate is increased in the transformed tissue of in vivo models of intestinal adenomas and mammary carcinomas. The increased serine catabolism to formate is associated with increased serum formate levels. Finally, we show that inhibition of formate production by genetic interference reduces cancer cell invasion and this phenotype can be rescued by exogenous formate. We conclude that increased formate overflow is a hallmark of oxidative cancers and that high formate levels promote invasion via a yet unknown mechanism.
Carbon-13 nuclear magnetic resonance of polymers spinning at the magic angle (1976)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTCarbon-13 nuclear magnetic resonance of polymers spinning at the magic angleJacob Schaefer and E. O. StejskalCite this: J. Am. Chem. Soc. 1976, 98, 4, 1031–1032Publication Date (Print):February 1, 1976Publication History Published online1 May 2002Published inissue 1 February 1976https://pubs.acs.org/doi/10.1021/ja00420a036https://doi.org/10.1021/ja00420a036research-articleACS PublicationsRequest reuse permissionsArticle Views2035Altmetric-Citations1023LEARN 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
The clinical and histopathological contributing factors influencing the effectiveness of preoperative hyperthermo-chemo-radiotherapy for the patients with esophageal cancer. (1997)

We thus conclude that preoperative HCR therapy shows great promise for the treatment of patients with esophageal cancer, especially in instances of well differentiated and radiographic tumorous type squamous cell carcinoma.
High-spin organic polymers (1996)

New high-spin organic polymers are obtained by oxidative doping of networked polyarylamines and show ferromagnetic coupling between radical cation sites and bulk behaviour which, in the best case, corresponds to spin (S)=ca. 2.5.
Monitoring and Adaptation in Bayesian Forecasting Models (1986)

Abstract Practical aspects of a new technique for monitoring and controlling the predictive performance of Bayesian forecasting models are discussed. The basic features of the approach to model monitoring introduced in a general setting in West (1986) are described and extended to a wide class of dynamic, nonnormal, and nonlinear Bayesian forecasting models. An associated method of automatically detecting and rejecting outliers and adapting models to abrupt structural changes in the time series is also discussed. The resulting forecast monitoring and control scheme is simply constructed and applied and is illustrated in two applications. Key Words: Dynamic modelsChange pointsForecast controlPredictive abilityOutliersTracking signals
Effective medium approximations for modeling optical reflectance from gratings with rough edges (2010)

Line edge roughness (LER) has been identified as a potential source of uncertainty in optical scatterometry measurements. Characterizing the effect of LER on optical scatterometry signals is required to assess the uncertainty of the measurement. However, rigorous approaches to modeling the structures that are needed to simulate LER can be computationally expensive. In this work, we compare the effect of LER on scatterometry signals computed using an effective medium approximation (EMA) to those computed with realizations of rough interfaces. We find that for correlation lengths much less than the wavelength but greater than the rms roughness, an anisotropic EMA provides a satisfactory approximation in the cases studied.
Solving Allocation Problems of Hard Real-Time Systems with Dynamic Constraint Programming (2006)

In this paper, we present an original approach (CPRTA for ”Constraint Programming for solving Real-Time Allocation”) based on constraint programming to solve an allocation problem of hard real-time tasks in the context of fixed priority preemptive scheduling. CPRTA is built on dynamic constraint programming together with a learning method to find a feasible processor allocation under constraints. It is a new approach which produce in its current version as acceptable performances as classical algorithms do. Some experimental results are given to show it. Moreover, CPRTA shows very interesting properties. It is complete —i.e., if a problem has no solution, the algorithm is able to prove it—, and it is non-parametric —i.e., it does not require specific initializations—. Thanks to its capacity to explain failures, it offers attractive perspectives for guiding the architectural design process.
An Examination of Fatigue Initiation Mechanisms in Thin 35Co-35Ni-20Cr-10Mo Medical Grade Wires (2008)

Abstract Knowledge of the intrinsic defect size distribution, surface grain size distribution, and prior deformation history are important factors in determining fatigue crack initiation mechanisms and total life variability in thin, metallic, medical grade wires. The ASTM F562 alloy system is used extensively as a fine wire coil or cable in the production of cardiac rhythm management leads which require excellent fatigue life, and a good understanding of life variability. In the present investigation, samples of 0.0070 in. diameter ASTM F562, 35Co-35Ni-20Cr-10Mo wires were produced with a variety of grain sizes and strain hardening conditions. Samples were then cyclically loaded to failure in rotary beam testing and preserved for post mortem fractography using high resolution scanning electron microscopy (HR-SEM). Fatigue cracks were found to initiate from three sources: intrinsic microstructural inhomogeneities, persistent slip bands (PSBs), and extrinsic surface defects. The dominance of the various initiation mechanisms was shown to be a function of the constituent particle and grain size as well as the fatigue loading conditions and prior deformation history. In samples exhibiting a surface grain size significantly larger than the constitutive particle distribution, cracks were observed to preferentially nucleate from surface intersecting PSBs rather than near-surface-particles. Understanding of these phenomena is important in the design of robust cardiac lead systems that will outlive the patient.
<title>Adaptive varying-window-size image denoising using the ICI rule with median filters</title> (2002)

We describe a novel approach to solve a problem of window size selection for median based filtering of noisy images. The approach is based on the intersection of confidence intervals (ICI) rule and results in algorithms that are simple in implementation. The ICI rule gives the adaptive varying bandwidths and enables the algorithm to be spatially adaptive in the sense that its quality is close to that which one could achieve if the smoothness of the estimated signal were known in advance. We propose and analyze a two-stage structure for the median based adaptive filter with different use of the ICI rule. At the first stage (segmentation), the ICI rule with the median filter is applied in order to find the adaptive window size for every pixel of the image. At the second stage (filtering), the image denoising is produced by a weighted median filter with varying window sizes obtained at the first stage. Two different approaches (with a single centered window and with combined four-quadrant windows), affecting the structure of the filters, have been considered in order to form the local neighborhood of the targeted pixel. Comparison of the developed algorithm with known techniques for noise removal shows the advantage of the new adaptive window size approach, both quantitatively and visually.
Recovery Protocols for Replicated Databases--A Survey (2007)

The main goal of replication is to increase dependability. Recovery protocols are a critical building block for realizing this goal. In this survey, we present an analysis of recovery protocols proposed in recent years. In particular, we relate these protocols to the replication protocols that use them, and discuss their main advantages and disadvantages. We classify replication and recovery protocols by several characteristics and point out interrelationships between them.
看，水珠在飞——前挡玻璃膜测试 (2006)

尽管我很不喜欢雨季．湿乎乎让人觉得很不爽．而且东西容易发霉。但是如果长时间不下雨．我又该想念雨中细步的情调和雨后初晴空气里的清新。而我那农夫出身的老爸总会习惯性地担心土地千涸．禾苗能否成活的大问题。好在．无论大家喜欢与否．该下的总是会下。
Corrosion Suppression During Wet Processes in FEOL and BEOL for 45nm Node and Beyond (2007)

Galvanic corrosion of metal gates in front end of line (FEOL) is a serious problem during wet processes for technology devices of 45 nm node and below. We attempt galvanic corrosion to suppress with high selectivity for High-k/SiO2 using a water-less solution of organic solvent and HF. We succeeded in suppressing corrosion of metal gates using IPA + HF solvent for FEOL processes. In the back end of line (BEOL), corrosion suppression for Cu wiring with porous low-k is an important issue. In particular, an environmentally safe inhibitor instead of BTA is important. This paper reports the technology for the suppression of corrosion of metal gates and an environmentally safe inhibitor (Adenine) for Cu/low-k.
TNF‐<i>α</i> Dysregulation in Asthma: Relationship to Ongoing Corticosteroid Therapy (2000)

Increases in TNF-a production within the PBMC compartment can be observed in both patients with asthma receiving high dose ICS and in a group of patients with mild asthma receiving no ICS therapy, but not in patients with asthma receiving a medium dose of ICS or atopic patients.
Improvement of Speech/Music Classification for 3GPP EVS Based on LSTM (2018)

The competition of speech recognition technology related to smartphones is now getting into full swing with the widespread internet of thing (IoT) devices. For robust speech recognition, it is necessary to detect speech signals in various acoustic environments. Speech/music classification that facilitates optimized signal processing from classification results has been extensively adapted as an essential part of various electronics applications, such as multi-rate audio codecs, automatic speech recognition, and multimedia document indexing. In this paper, we propose a new technique to improve robustness of a speech/music classifier for an enhanced voice service (EVS) codec adopted as a voice-over-LTE (VoLTE) speech codec using long short-term memory (LSTM). For effective speech/music classification, feature vectors implemented with the LSTM are chosen from the features of the EVS. To overcome the diversity of music data, a large scale of data is used for learning. Experiments show that LSTM-based speech/music classification provides better results than the conventional EVS speech/music classification algorithm in various conditions and types of speech/music data, especially at lower signal-to-noise ratio (SNR) than conventional EVS algorithm.
Temperature as a Crevice Corrosion Criterion (1974)

Using temperature as a crevice corrosion criterion, a number of commercial and experimental Mo-bearing 18% Cr austenitic stainless steels have been evaluated for crevice corrosion resistance. These data have been correlated with the effect of Mo content on the rate of active corrosion in the very aggressive acid solution expected in the crevice itself. Alloyed Mo has been found to play the dominant role in reducing the relative rate of crevice corrosion and in defining the go/no-go crevice corrosion behavior in terms of the crevice corrosion temperature (CCT) in oxidizing acid chloride solutions. For 18% Cr austenitic stainless steels the empirical relationship CCT(C)=−(45±5)+11×%Mohas been found.
Uranyl Adsorption at the Muscovite (Mica)/Water Interface Studied by Second Harmonic Generation (2012)

Uranyl adsorption at the muscovite (mica)/water interface was studied by second harmonic generation (SHG). Using the nonresonant χ(3) technique and the Gouy-Chapman model, the initial surface charge density of the mica surface was determined to be -0.022(1) C/m(2) at pH 6 and in the presence of dissolved carbonate. Under these same conditions, uranyl adsorption isotherms collected using nonresonant χ(3) experiments and resonantly enhanced SHG experiments that probe the ligand-to-metal charge transfer bands of the uranyl cation yielded a uranyl binding constant of 3(1) × 10(7) M(-1), corresponding to a Gibbs free energy of adsorption of -52.6(8) kJ/mol, and a maximum surface charge density at monolayer uranyl coverage of 0.028(3) C/m(2). These results suggest favorable adsorption of uranyl ions to the mica interface through strong ion-dipole or hydrogen interactions, with a 1:1 uranyl ion to surface site ratio that is indicative of monovalent cations ((UO(2))(3)(OH)(5)(+), (UO(2))(4)(OH)(7)(+), UO(2)OH(+), UO(2)Cl(+), UO(2)(CH(3)COO(-))(+)) binding at the interface, in addition to neutral uranyl species (UO(2)(OH)(2) and UO(2)CO(3)). This work provides benchmark measurements to be used in the improvement of contaminant transport modeling.
Arachidonic acid release from aortic smooth muscle cells induced by [Arg8]vasopressin is largely mediated by calcium-independent phospholipase A2. (1993)

To identify the phospholipase mediating the majority of [Arg8]vasopressin (AVP)-induced release of arachidonic acid in A-10 smooth muscle cells, we exploited the specificity inherent in the mechanism-based inhibitor, (E)-6-(bromomethylene)tetrahydro-3-(1-naphthalenyl)-2H-pyran-2-one (HELSS), which possesses a 1,000-fold selectivity for inhibition of calcium-independent versus calcium-dependent phospholipases A2. Utilizing [3H]arachidonic acid-labeled A-10 smooth muscle cells, one-half of AVP-inducible [3H]arachidonic acid release was inhibited by pretreatment with only 1 microM HELSS and two-thirds of AVP-stimulated [3H]arachidonic acid release was inhibited by 5 microM HELSS. The inhibition of [3H]arachidonic acid release by HELSS was saturable (i.e. no additional inhibition of [3H]arachidonic acid release was present at 10 microM HELSS), specific (i.e. the activities of six intracellular enzymes, as well as the rate of glucose oxidation, were not altered by HELSS treatment), and nontoxic (i.e. HELSS-treated cells excluded trypan blue dye and did not leak intracellular enzymes into the medium). Collectively, these results demonstrate that HELSS blocks AVP-induced arachidonic acid release by specific and irreversible inhibition of calcium-independent phospholipase A2 and underscore the importance of calcium-independent phospholipase A2 in agonist-induced arachidonic acid release in at least some cell types.
Diagnosing wind turbine faults using machine learning techniques applied to operational data (2016)

Unscheduled or reactive maintenance on wind turbines due to component failures incurs significant downtime and, in turn, loss of revenue. To this end, it is important to be able to perform maintenance before it's needed. By continuously monitoring turbine health, it is possible to detect incipient faults and schedule maintenance as needed, negating the need for unnecessary periodic checks. To date, a strong effort has been applied to developing Condition monitoring systems (CMSs) which rely on retrofitting expensive vibration or oil analysis sensors to the turbine. Instead, by performing complex analysis of existing data from the turbine's Supervisory Control and Data Acquisition (SCADA) system, valuable insights into turbine performance can be obtained at a much lower cost. In this paper, data is obtained from the SCADA system of a turbine in the South-East of Ireland. Fault and alarm data is filtered and analysed in conjunction with the power curve to identify periods of nominal and fault operation. Classification techniques are then applied to recognise fault and fault-free operation by taking into account other SCADA data such as temperature, pitch and rotor data. This is then extended to allow prediction and diagnosis in advance of specific faults. Results are provided which show success in predicting some types of faults.
Designing experiments for precise estimation of all or some of the constants in a mechanistic model (1969)

Abstract An important experimental problem in chemical engineering is to collect data in order to estimate constants such as rate constants and activation energies which are needed, for example, in equipment and plant design. For a given amount of experimental effort, the engineer wants these constants to be estimated as precisely as possible. In this paper, we discuss statistical design procedures that might be used to accomplish this goal. Available procedures are reviewed for estimating precisely all the constants in a mechanistically based mathematical model. In addition, a new procedure is illustrated for precisely estimating only some of the constants which may be of more interest than the others.
Shortcut-Stacked Sentence Encoders for Multi-Domain Inference (2017)

We present a simple sequential sentence encoder for multi-domain natural language inference. Our encoder is based on stacked bidirectional LSTM-RNNs with shortcut connections and fine-tuning of word embeddings. The overall supervised model uses the above encoder to encode two input sentences into two vectors, and then uses a classifier over the vector combination to label the relationship between these two sentences as that of entailment, contradiction, or neural. Our Shortcut-Stacked sentence encoders achieve strong improvements over existing encoders on matched and mismatched multi-domain natural language inference (top non-ensemble single-model result in the EMNLP RepEval 2017 Shared Task (Nangia et al., 2017)). Moreover, they achieve the new state-of-the-art encoding result on the original SNLI dataset (Bowman et al., 2015).
Low Dynamic Range Image Set Generation from Single Image (2019)

Due to the higher exposure, the information in the highlight area usually clipped. This is one of the bottlenecks for the generation of high dynamic range (HDR) image. In this paper, we describe a simple technique to retrieve the information from an overexposed area by creating low dynamic range (LDR) image set from a single LDR image. These images are fused to generate HDR image. We evaluate our result by the single image HDR generation technique. Our technique shows better visual results compared to other techniques.