gebhart/patrepeval huggingface dataset:
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers (2011)

We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiple-structure data even in the presence of a large number of outliers. Our framework contains a novel scale estimator called Iterative Kth Ordered Scale Estimator (IKOSE). IKOSE can accurately estimate the scale of inliers for heavily corrupted multiple-structure data and is of interest by itself since it can be used in other robust estimators. In addition to IKOSE, our framework includes several original elements based on the weighting, clustering, and fusing of hypotheses. AKSWH can provide accurate estimates of the number of model instances and the parameters and the scale of each model instance simultaneously. We demonstrate good performance in practical applications such as line fitting, circle fitting, range image segmentation, homography estimation, and two--view-based motion segmentation, using both synthetic data and real images.
A Complete Axiomatisation of the ZX-Calculus for Clifford+T Quantum Mechanics (2018)

We introduce the first complete and approximately universal diagrammatic language for quantum mechanics. We make the ZX-Calculus, a diagrammatic language introduced by Coecke and Duncan, complete for the so-called Clifford+T quantum mechanics by adding two new axioms to the language. The completeness of the ZX-Calculus for Clifford+T quantum mechanics -- also called the π/4-fragment of the ZX-Calculus -- was one of the main open questions in categorical quantum mechanics. We prove the completeness of this fragment using the recently studied ZW-Calculus, a calculus dealing with integer matrices. We also prove that the π/4-fragment of the ZX-Calculus represents exactly all the matrices over some finite dimensional extension of the ring of dyadic rationals.
Adaptive interacting multiple model algorithm for tracking a manoeuvring target (1995)

The paper describes an adaptive interacting multiple-model algorithm (AIMM) for use in manoeuvring target tracking. The algorithm does not need predefined models. A two-stage Kalman estimator is used to estimate the acceleration of the target. This acceleration value is then fed to the subfilters in an interacting multiple-model (IMM) algorithm, where the subfilters have different acceleration parameters. Results compare the performance of the AIMM algorithm with the IMM algorithm, using simulations of different manoeuvring-target scenarios. Also considered are the relative computational requirements, and the ease with which the algorithms can be implemented on parallel machines.
Optimal Deorbit Guidance (2012)

can be hundreds of seconds apart from that of the impulsive solution), duration of the burn, and thrust direction duringtheburn.Inthispaperthe deorbitguidanceproblem isformulatedasanoptimalcontrolproblemwith finitetime burn structure. Several sets of general targeting conditions are derived to be met at the entry interface. Numerical solutions are obtained by employing a fast multiburn shooting algorithm. The solution contains the coast times before and after a burn, duration of the burn, and thrust-direction profile during the burn. This study investigates both single- and two-burn deorbit maneuvers, and demonstrates how each works in different mission scenarios.
Polymorphism Analysis of Chinese Theileria sergenti Using Allele-Specific Polymerase Chain Reaction of the Major Piroplasm Surface Protein Gene (2011)

Theileria sergenti is a tick-borne parasite found in many parts of the world. The major piroplasm surface protein (MPSP), a conserved protein in all Theileria species, has been used as a marker for epidemiological and phylogenetic studies of benign Theileria species. In this study, Chinese species of T. sergenti were characterized by allele-specific polymerase chain reaction (PCR) and DNA sequence analysis of the MPSP gene. Using universal or allele-specific primer sets for PCR amplification of the MPSP gene, 98 of 288 cattle blood samples, collected from 6 provinces in China, were found to be positive. Among the positive samples, only 3 allelic MPSP gene types (Chitose [C]-, Ikeda [I]-, and buffeli [B]-type) were successfully amplified. Moreover, the results revealed that the majority of the parasites sampled in this study were C- and I-type (prevalence of 84 and 69%, respectively), whereas the B-type was less common (prevalence of 36%). Co-infections with C-, I-, and B-type T. sergenti also were found. An additional known allele, Thai-type, was not detected. Phylogenetic analysis based on the MPSP gene sequences, including 3 standard stocks generated in the laboratory ( T. sergenti Wenchuan, T. sergenti Ningxian, and T. sergenti Liaoyang), revealed that the isolates of Chinese sergenti were comprised of at least 4 allelic MPSP gene types, i.e., C-, I-, B1-, and B2-type, and these parasites with 6 MPSP types 1-5 and 7 were present in China.
Revista de filosofía (1942-1969) del Instituto "Luis Vives de Filosofía" (2001)

The cell surface glycoprotein CD19 and the Src-related protein tyrosine kinase Lyn are key mediators of, respectively, positive and negative signaling in B cells. Despite the apparent opposition of their regulatory functions, a recent model of the biochemical events after B cell receptor (BCR) ligation intimately links the activation of Lyn and CD19. We examined the biochemical consequences of BCR ligation in mouse B cells lacking either Lyn or CD19 for evidence of interaction or codependence. In contrast to published results, we found CD19 phosphorylation after BCR ligation to be unaffected by the absence of Lyn, yet dependent on Src family protein tyrosine kinases as it was inhibited fully by PP2, an Src family-specific inhibitor. Consistent with normal CD19 phosphorylation in lyn(-/-) B cells, the recruitment of phosphoinositide-3 kinase to CD19 and the ability of CD19 to enhance both intracellular calcium flux and extracellular signal-regulated kinase 1/2 activation after coligation with the BCRs were intact in the absence of Lyn. Similarly, unique functions of Lyn were found to be independent of CD19. CD19(-/-) B cells were normal for increased Lyn kinase activity after BCR ligation, inhibition of BCR-mediated calcium flux after CD22 coligation, and inhibition of extracellular signal-regulated kinase phosporylation after FcgammaRIIB coligation. Collectively, these data show that the unique functions of Lyn do not require CD19 and that the signal amplification mediated by CD19 is independent of Lyn. We conclude that the roles of Lyn and CD19 after BCR ligation are independent and opposing, one being primarily inhibitory and the other stimulatory.
High-level fusion based on conceptual graphs (2007)

Most of studies in the field of information fusion focus on the production of high-level information from low-level data. The challenge is then to fuse this high-level information to produce a global and coherent information. Another approach consists in interpreting data as high-level information and fuse it at once. Our approach relies on the use of conceptual graphs model. The model is widely used for knowledge representation. We propose to go further and use it for information fusion. Conceptual graphs model contains aggregation operators such as join and maximal join. This paper is dedicated to the extension of the maximal join operator in order to manage heterogeneous information fusion. After describing the suitability of maximal join for high-level information fusion, we present the extension that we propose. The extension relies on relaxing the equality constraint on observations and on using fusion strategies. A case study illustrates our proposition.
The use of daunomycin-antibody immunoconjugates in managing soft tissue sarcomas: nude mouse xenograft model. (1993)

Analysis of human fibrosarcoma cells exposed to radiolabeled monoclonal antibody 19-24, which recognizes sarcoma-associated antigen p102, revealed that over 54% of the cell surface-bound radioactivity was internalized. No modulation of cell surface p102 antigen by monoclonal antibody 19-24 was observed in human fibrosarcoma cells. Monoclonal antibody 19-24 coupled to daunomycin via a dextran bridge was found to be most effective. In different preparations, the daunomycin:total protein molar ratio ranged from 1.9 to 6.1. In vitro cytotoxicity studies using human fibrosarcoma cells showed that, at 10 micrograms/ml concentration, this immunoconjugate was 79.4% as efficient as free daunomycin and, at 1 microgram/ml concentration, 36.8% as efficient. Control nonspecific murine monoclonal antibody P3 immunoconjugates were relatively ineffective. The distribution of 14C-Adriamycin, 125I-labeled monoclonal antibody 19-24, and 125I-labeled 19-24 immunoconjugate was also evaluated over a 24-h period in tumor and normal tissues of athymic mice bearing a human fibrosarcoma xenograft. Poor uptake of radiolabeled Adriamycin by the tumor tissue was observed. The level of 14C radioactivity in the tumor tissue never exceeded 1% of the total injected dose and was 24.8-fold lower than the radioactivity found in the spleen tissue. Tumor tissue uptake of radiolabeled monoclonal antibody 19-24 was characterized by the high tumor tissue:blood ratio of 1.62 +/- 0.28 (SD). However, for monoclonal antibody 19-24 immunoconjugates, this ratio decreased to 0.66 +/- 0.05, which was still higher than normal (liver, 0.48 +/- 0.02; lung, 0.48 +/- 0.07; spleen, 0.28 +/- 0.01) or nonspecific monoclonal antibody P3 immunoconjugates (0.22 +/- 0.03). Thus, it appears that, compared to free daunomycin, monoclonal antibody 19-24 immunoconjugates may be more efficient and less cytotoxic to normal tissues.
Characterization of E2F8, a novel E2F-like cell-cycle regulated repressor of E2F-activated transcription (2005)

The E2F family of transcription factors are downstream effectors of the retinoblastoma protein, pRB, pathway and are essential for the timely regulation of genes necessary for cell-cycle progression. Here we describe the characterization of human and murine E2F8, a new member of the E2F family. Sequence analysis of E2F8 predicts the presence of two distinct E2F-related DNA binding domains suggesting that E2F8 and, the recently, identified E2F7 form a subgroup within the E2F family. We show that E2F transcription factors bind the E2F8 promoter in vivo and that expression of E2F8 is being induced at the G1/S transition. Purified recombinant E2F8 binds specifically to a consensus E2F-DNA-binding site indicating that E2F8, like E2F7, binds DNA without the requirement of co-factors such as DP1. E2F8 inhibits E2F-driven promoters suggesting that E2F8 is transcriptional repressor like E2F7. Ectopic expression of E2F8 in diploid human fibroblasts reduces expression of E2F-target genes and inhibits cell growth consistent with a role for repressing E2F transcriptional activity. Taken together, these data suggest that E2F8 has an important role in turning of the expression of E2F-target genes in the S-phase of the cell cycle.
Code Aperture Design For Compressive Spectral Imaging (2010)

Publication in the conference proceedings of EUSIPCO, Aalborg, Denmark, 2010
Rule Line Detection and Removal in Handwritten Text Images (2014)

Analysis of handwritten document images is one of the key areas of research in image processing domain. The objective of the analysis is to recognize the text components in an image and extract the intended information. However, inscription of handwriting usually would be on documents with rule lines, since they act as guide lines to the writer to ensure the writing remains straight and is of uniform size. These lines make the task of recognition difficult and hence removing them automatically becomes a major issue in text image processing. To accomplish this objective, an attempt is being made in this paper to remove the horizontal rule lines and vertical margin line for efficient recognition and analysis of the foreground text. Using mathematical morphology, predominant horizontal and vertical lines are removed leaving out stray lines which hinder the further processing of text. The stray lines are identified and removed using entropy with sliding window based on dynamic thresholding.
Dense WDM multiplexer and demultiplexer with 0.4nm channel spacing (1998)

The authors report high performance dense WDM multiplexers and demultiplexers with a 0.4 nm channel spacing. Special apodised FBGs and low loss bandpass WDM filters are utilised. The demonstrated cost effective eight-channel dense WDM devices have a high channel isolation of > 25 dB and an insertion loss of ~7.5 dB. The WDM devices can be expanded to 32 or 64 channels in the same structures.
Ultraviolet Microscopy of Hevea Rubber Latex (1938)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTUltraviolet Microscopy of Hevea Rubber LatexFrancis F. LucasCite this: Ind. Eng. Chem. 1938, 30, 2, 146–153Publication Date (Print):February 1, 1938Publication History Published online1 May 2002Published inissue 1 February 1938https://pubs.acs.org/doi/10.1021/ie50338a007https://doi.org/10.1021/ie50338a007research-articleACS PublicationsRequest reuse permissionsArticle Views20Altmetric-Citations14LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access options Get e-Alerts
Enhanced Activity for CO Oxidation over WO<sub>3</sub> Nanolamella Supported Pt Catalyst (2014)

WO3 nanolamella supported Pt catalyst has been prepared and applied for CO oxidation in this work. A significantly enhanced activity has been achieved, compared to that of the Pt catalyst supported by the WO3 nanoparticle. The catalyst characterization using X-ray diffraction (XRD), scanning electronic microscopy (SEM), high-resolution transmission electron microscopy (HRTEM), and N2 adsorption-desorption confirms that the WO3 nanolamella supported Pt catalyst possesses higher Pt dispersion, improved metal-support interaction with a higher electron density of Pt, and a weak adsorption of CO, leading to the significantly enhanced activity for CO oxidation.
IGFBP-3 Is a Metastasis Suppression Gene in Prostate Cancer (2011)

The insulin-like growth factor binding protein IGFBP-3 is a proapoptotic and antiangiogenic protein in prostate cancer (CaP). Epidemiologic studies suggest that low IGFBP-3 is associated with greater risk of aggressive, metastatic prostate cancers, but in vivo functional data are lacking. Here we show that mice that are genetically deficient in IGFBP-3 exhibit weaker growth of primary prostate tumors but higher incidence of metastatic disease. Prostates in IGFBP-3 knockout mice (IGFBP-3KO mice) failed to undergo apoptosis after castration. Spontaneous prostate tumors did not develop in IGFBP-3KO mice, but splenic lymphomas occurred in 23% of female IGFBP-3KO mice by 80 weeks of age. To assess the effects of IGFBP-3 deficiency on prostate cancer development, we crossed IGFBP-3KO mice with a c-Myc-driven model of CaP that develops slow-growing, nonmetastatic tumors. By 24 weeks of age, well-differentiated prostate cancers were observed in all mice regardless of IGFBP-3 status. However, by 80 weeks of age IGFBP-3KO mice tended to exhibit larger prostate tumors than control mice. More strikingly, lung metastases were observed at this time in 55% of the IGFBP-3KO mice but none in the control animals. Cell lines established from IGFBP-3KO:Myc tumors displayed more aggressive phenotypes in proliferation, invasion, and colony formation assays, relative to control Myc tumor cell lines. In addition, Myc:IGFBP-3KO cells exhibited evidence of epithelial-mesenchymal transition. Our findings established a function for IGFBP-3 in suppressing metastasis in prostate cancer, and they also offered the first reported transgenic model of spontaneous metastatic prostate cancer for studies of this advanced stage of disease.
Optimizing analysis of stable isotope breath tests to estimate gastric emptying of solids (2009)

Breath tests (BT) using 13C-substrates have been proposed for the measurement of gastric emptying (GE). The mathematical analysis of the breath 13CO2 excretion that most accurately predicts GE t(1/2) from simultaneous scintigraphy is unresolved. To compare five mathematical methods to estimate GE t(1/2) by BT with t(1/2) from simultaneous scintigraphy. Data acquired from a dual-labelled solid-liquid meal containing 99mTc sulphur colloid and 13C-Spirulina platensis from 57 healthy volunteers were used to compare four mathematical methods reported in the literature [Ghoos method; generalized linear regression (Viramontes); linear regression (Szarka); Wagner-Nelson method] and the total cumulative breath 13CO2 excretion with > or =12 breath samples collected over at least 4 h. The concordance correlation coefficient (CCC) for the t(1/2) results obtained with each method using BT data was compared with the results obtained with scintigraphy. The linear regression and generalized linear regression methods used five samples at 45, 90, 120, 150 and 180 min. All methods, except for the Wagner-Nelson method, resulted in mean GE t(1/2) that approximated t(1/2) obtained with scintigraphy. The highest CCC was observed with the linear regression method. Simple cumulative excretion of breath 13CO2 provides a better CCC than the Ghoos method. The linear regression and generalized linear regression methods (which also require relatively few breath samples) provide the most accurate analyses of breath 13CO2 excretion in stable isotope GEBT.
GNSS Jammers: Effects and countermeasures (2012)

GNSS jammers are small portable devices able to broadcast disruptive interference and overpower the much weaker GNSS signals. In this paper, the effects of GNSS jammers on GPS and Galileo receivers are thoroughly analyzed and the use of an adaptive notch filter is suggested as an effective countermeasure to jamming. Signals generated by a commercial jammer are broadcast in a large anechoic chamber along with the GPS and Galileo signals generated by a hardware simulator. The analysis is conducted in terms of C/N <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> degradation and different jammer power levels are considered. The use of mitigation techniques, such as notch filtering, significantly improves the performance of GNSS receivers even in the presence of strong and fast-varying jamming signals. The presence of a pilot tone in the Galileo E1 signal enables pure PLL tracking and makes the processing of Galileo signals more robust to jamming.
Frequency Stabilization of Internal-Mirror Helium–Neon Lasers (1972)

A simple and inexpensive frequency stabilization system of a helium-neon two-mode laser with an internal mirror plasma tube is described. The stabilization depends on the comparison of the light intensities of the two operating longitudinal modes. The corresponding frequencies of the modes are symmetrized about the emission line of neon at the transition 3s(2)-2p(4). Experimental results are given. The relative uncertainty of the frequency stabilization is less than 1 part in 10(7).
PDE estimation techniques for advanced battery management systems — Part I: SOC estimation (2012)

A critical enabling technology for electrified vehicles and renewable energy resources is battery energy storage. Advanced battery systems represent a promising technology for these applications, however their dynamics are governed by relatively complex electrochemical phenomena whose parameters degrade over time and vary across manufacturer. Moreover, limited sensing and actuation exists to monitor and control the internal state of these systems. As such, battery management systems require advanced identification, estimation, and control algorithms. In this paper we examine a new battery state-of-charge (SOC) estimation algorithm based upon the backstepping method for partial differential equations (PDEs). The estimator is synthesized from the so-called single particle model (SPM). Our development enables us to rigorously analyze observability and stability properties of the estimator design. In a companion paper we examine state-of-health (SOH) estimation, framed as a parameter identification problem for parabolic PDEs and nonlinearly parameterized output functions.
Supervised representation learning: transfer learning with deep autoencoders (2015)

Transfer learning has attracted a lot of attention in the past decade. One crucial research issue in transfer learning is how to find a good representa-tion for instances of different domains such that the divergence between domains can be reduced with the new representation. Recently, deep learning has been proposed to learn more robust or higher-level features for transfer learning. However, to the best of our knowledge, most of the previous ap-proaches neither minimize the difference between domains explicitly nor encode label information in learning the representation. In this paper, we pro-pose a supervised representation learning method based on deep autoencoders for transfer learning. The proposed deep autoencoder consists of two encoding layers: an embedding layer and a label encoding layer. In the embedding layer, the dis-tance in distributions of the embedded instances be-tween the source and target domains is minimized in terms of KL-Divergence. In the label encoding layer, label information of the source domain is en-coded using a softmax regression model. Extensive experiments conducted on three real-world image datasets demonstrate the effectiveness of our pro-posed method compared with several state-of-the-art baseline methods. 1