gebhart/patrepeval huggingface dataset:
OpenCOPI: middleware integration for Ubiquitous Computing (2013)

In this paper, we present OpenCOPI (Open COntext Platform Integration), a Service-Oriented Architecture-based middleware platform that supports the integration of services provided by distinct sources, ranging from services offered by simple systems to more complex services provided by context-provision middleware. OpenCOPI offers selection and composition mechanisms to, respectively, select and compose services provided by different sources, considering applications of both Quality of Service and Quality of Context requirements. It also offers an adaptation mechanism that enables to adapt the application execution due to service failures, service quality fluctuation and user mobility. OpenCOPI allows the definition of applications in a higher abstraction level by the specification of a semantic workflow that contains abstract activities. This paper illustrates the use of OpenCOPI in an application from the Gas & Oil Industry and it also shows the evaluation of the main mechanisms of OpenCOPI: the service selection, composition, adaptation and workflow execution.
Efficient Keyword-Based Search for Top-K Cells in Text Cube (2011)

Previous studies on supporting free-form keyword queries over RDBMSs provide users with linked structures (e.g., a set of joined tuples) that are relevant to a given keyword query. Most of them focus on ranking individual tuples from one table or joins of multiple tables containing a set of keywords. In this paper, we study the problem of keyword search in a data cube with text-rich dimension(s) (so-called text cube). The text cube is built on a multidimensional text database, where each row is associated with some text data (a document) and other structural dimensions (attributes). A cell in the text cube aggregates a set of documents with matching attribute values in a subset of dimensions. We define a keyword-based query language and an IR-style relevance model for scoring/ranking cells in the text cube. Given a keyword query, our goal is to find the top-k most relevant cells. We propose four approaches: inverted-index one-scan, document sorted-scan, bottom-up dynamic programming, and search-space ordering. The search-space ordering algorithm explores only a small portion of the text cube for finding the top-k answers, and enables early termination. Extensive experimental studies are conducted to verify the effectiveness and efficiency of the proposed approaches.
Thermal decomposition of alkyl halides on aluminum. 1. Carbon-halogen bond cleavage and surface .beta.-hydride elimination reactions (1991)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTThermal decomposition of alkyl halides on aluminum. 1. Carbon-halogen bond cleavage and surface .beta.-hydride elimination reactionsBrian E. Bent, Ralph G. Nuzzo, Bernard R. Zegarski, and Lawrence H. DuboisCite this: J. Am. Chem. Soc. 1991, 113, 4, 1137–1142Publication Date (Print):February 1, 1991Publication History Published online1 May 2002Published inissue 1 February 1991https://pubs.acs.org/doi/10.1021/ja00004a012https://doi.org/10.1021/ja00004a012research-articleACS PublicationsRequest reuse permissionsArticle Views439Altmetric-Citations66LEARN 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
Fast Cryptography in Genus 2 (2012)

In this paper, we highlight the benefits of using genus 2 curves in public-key cryptography. Compared to the standardized genus 1 curves, or elliptic curves, arithmetic on genus 2 curves is typically more involved but allows us to work with moduli of half the size. We give a taxonomy of the best known techniques to realize genus 2-based cryptography, which includes fast formulas on the Kummer surface and efficient four-dimensional GLV decompositions. By studying different modular arithmetic approaches on these curves, we present a range of genus 2 implementations. On a single core of an Intel Core i7-3520M (Ivy Bridge), our implementation on the Kummer surface breaks the 125 thousand cycle barrier which sets a new software speed record at the 128-bit security level for constant-time scalar multiplications compared to all previous genus 1 and genus 2 implementations.
Selected blood immunological and biochemical parameters in horses infected with Cyathostominae before and after ivermectin treatment (2014)

The objective of this study was to identify selected blood immunological and biochemical parameters in horses infected with Cyathostominae before and after treatment with ivermectin. Fecal samples were collected before ivermectin treatment and on days 1, 2, 3, 4, 10, 20, 30, 40, 50, 60, and 75 after drug administration. Blood was sampled on the same days to determine levels of total protein, g-globulin, ceruloplasmin, and lysozyme activity. Eggs and dead parasites were excreted until day 3 postivermectin treatment. The reappearance of eggs was observed in 1 horse on day 50, and on day 75 in the remaining animals. Before treatment, total protein levels were measured at 53.2 g/L on average, and a decrease was noted until day 3 after treatment, with minor fluctuations on the following days. The highest g-globulin concentrations of 14.1 g/L were reported on day 10 after treatment. Ceruloplasmin levels were determined at 74 IU before treatment, and a significant increase to 106 IU was observed on day 40. Lysozyme activity before ivermectin treatment reached 2.77 mL/L on average, and a significant 2-fold increase to 6.85 mg/L was reported on day 75.
Explainable AI in industry (2020)

Artificial Intelligence is increasingly playing an integral role in determining our day-to-day experiences. Moreover, with the proliferation of AI based solutions in areas such as hiring, lending, criminal justice, healthcare, and education, the resulting personal and professional implications of AI have become far-reaching. The dominant role played by AI models in these domains has led to a growing concern regarding potential bias in these models, and a demand for model transparency and interpretability [2, 4]. Model explainability is considered a prerequisite for building trust and adoption of AI systems in high stakes domains such as lending and healthcare [1] requiring reliability, safety, and fairness. It is also critical to automated transportation, and other industrial applications with significant socio-economic implications such as predictive maintenance, exploration of natural resources, and climate change modeling.
A Planar Light Probe (2006)

We develop a novel technique for measuring lighting that exploits the interaction of light with a set of custom BRDFs. This enables the construction of a planar light probe with certain advantages over existing methods for measuring lighting. To facilitate the construction of our light probe, we derive a new class of bi-directional reflectance functions based on the interaction of light through two planar surfaces separated by a transparent medium. Under certain assumptions and proper selection of the two surfaces, we show how to recover Fourier series coefficients of the incident lighting parameterized over the plane. The results are experimentally validated by imaging a sheet of glass with spatially varying patterns printed on either side.
Supplementary Figure 4 from Autotaxin and LPA<sub>1</sub> and LPA<sub>5</sub> Receptors Exert Disparate Functions in Tumor Cells versus the Host Tissue Microenvironment in Melanoma Invasion and Metastasis (2023)

&lt;p&gt;Supplementary Figure 4. Effect of BMP22 on the basal invasion of B16F10 cells across a matrigel layer. Data are representative of an experiment performed twice in quadruplicates and are expressed as mean {plus minus} SD. *Denotes p value &lt; 0.05 using one-way ANOVA followed by a Bonferroni post-test.&lt;/p&gt;
Functionalized Polystyrene Nanoparticles Trigger Human Dendritic Cell Maturation Resulting in Enhanced CD4+ T Cell Activation (2012)

Nanoparticles (NP) represent a promising tool for biomedical applications. Here, sulfonate- and phosphonate-functionalized polystyrene NP are analyzed for their interaction with human monocyte-derived dendritic cells (DC). Immature dendritic cells (iDC) display a higher time- and dose-dependent uptake of functionalized polystyrene NP compared to mature dendritic cells (mDC). Notably, NP induce an enhanced maturation of iDC but not of mDC (upregulation of stimulatory molecules and cytokines). NP-triggered maturation results in a significantly enhanced T cell stimulatory capacity (increased CD4(+) T cell proliferation and IFN-γ production), indicating a shift to a pronounced Th1 response. Immunomodulatory properties of NP may be a useful strategy for strengthening the efficacy of NP-based approaches in immunotherapy.
Androgen deprivation and thromboembolic events in men with prostate cancer (2011)

In this population-based cohort, ADT was associated with increased risk of a TE, and longer durations of ADT were associated with more TEs. Men with intermediate- and low-risk prostate cancer should be assessed for TE risk factors before starting ADT and counseled regarding the risks and benefits of this therapy.
Supplementary Figure 1 from Stress Chaperone Mortalin Contributes to Epithelial-to-Mesenchymal Transition and Cancer Metastasis (2023)

&lt;p&gt;Upreguation of mortalin in advanced grade, poorly differentiated and metastatic tumors.&lt;/p&gt;
Resultados atuais da cirurgia coronária em pacientes de alto risco (1988)

No período e 4 anos (1984 a 1987), 427 pacientes (313 homens e 114 mulheres, idade média 61,83 anos) foram submetidos a cirurgia coronária de emergência. A indicação para cirurgia foi angina instável, que requeria uso intravenoso de nitroglicerina. Quanto à classe funcional, 369 (86,41%) pacientes estavam em classe IV e 51,95% estavam em grau funcional III ou IV de ventrículo esquerdo, pelo estudo hemodinâmico e 30,44% tinham lesão de tronco. Foram realizadas 2,99 pontes/pacientes. A mortalidade total foi de 7,72% e 17,09% tiveram síndrome de baixo débito; déficit neurológico ocorreu em 2,85% e infarto do miocárdio, em 16,86% dos casos. Durante o mesmo período, 30 pacientes (16 do sexo masculino e 14 do feminino) com idade média de 64,03 anos, com amgina instável e em choque cardiogênico, foram submetidos a revascularização de emergência. Quanto à classe funcional, 86,66% estavam em classe IV, 13,33% em classe III e 56,66% estavam em grau funcional IV de ventrículo esquerdo e 13,33% em grau III; 40% dos pacientes tinham lesão de tronco. O número médio de pontes foi de 2,76 pontes/pacientes. A mortalidade foi de 60%; déficit neurológico ocorreu em 16,66% e 43,33% sofreram infarto do miocárdio. Em conclusão, a mortalidade e a morbidade, para pacientes submetidos a cirurgia de revascularização, permanecem elevadas, principalmente, em pacientes com choque cardiogênico. Portanto, mais estudos futuros são requeridos em relação à proteção miocárdica, para melhores resultados.
Addition reactions of aminium radicals: synthetic studies of oxidative photoaddition of N-nitrodimethylamine (NNOD) (1982)

Photoadditions of NNOD to various olefins under oxygen lead to 2-dimethylamino-1-nitrate esters in good yields as primary products. The amino-nitrates are stable in acidic solution but their stability towards bases varies over a wide range depending on configuration. In most cases, the crude photoaddition products were reduced with lithium aluminium hydride to give good yields of the alcohols. The nitrates derived from cyclododeca-1,5,9-trienes were stable and reduced by lithium aluminium hydride to give, quite unexpectedly, the acyclic α,ω-dimethylamino-alcohols. The oxidative photoaddition to cis,trans,trans-cyclododecatriene occurred preferentially at the trans-double bond and that to dicyclopentadiene at the norbornene double bond. In both cases, good regioselectivity was observed. The precursors to the nitrates were suggested to be the corresponding peroxynitrites which might also undergo various ionic or light-induced reactions.
Optical components and their packaging/module trends for WDM communication (2002)

The application area of optical communication is expanding from trunk lines to subscriber loops, and local area networks (LAN). Optical components and their packaging technology also vary based on different application area. This paper describes the trends of key optical components and their packaging/module technologies for WDM application. The state-of-the art of technologies for 10Gb/s and 40Gb/s application are also included. Finally, future, module technologies will also be addressed.
Linear Feature Identification and Inference in Nano-Scale Images (2005)

ABSTRACT. In this paper a novel method for the analysis of straight line alignment of features in the images based on Hough and Wavelet transforms is proposed. The new method is designed to work specifically with nanoscale images, to detect linear structure formed by the atomic lattice. 1.
Convex Optimization in Signal Processing and Communications (2009)

Over the past two decades there have been significant advances in the field of optimization. In particular, convex optimization has emerged as a powerful signal processing tool, and the variety of applications continues to grow rapidly. This book, written by a team of leading experts, sets out the theoretical underpinnings of the subject and provides tutorials on a wide range of convex optimization applications. Emphasis throughout is on cutting-edge research and on formulating problems in convex form, making this an ideal textbook for advanced graduate courses and a useful self-study guide. Topics covered range from automatic code generation, graphical models, and gradient-based algorithms for signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for image processing, robust broadband beamforming, distributed multi-agent optimization for networked systems, cognitive radio systems via game theory, and the variational inequality approach for Nash equilibrium solutions.
Antibody Engineering and Therapeutics (2014)

The 24th Antibody Engineering & Therapeutics meeting brought together a broad range of participants who were updated on the latest advances in antibody research and development. Organized by IBC Life Sciences, the gathering is the annual meeting of The Antibody Society, which serves as the scientific sponsor. Preconference workshops on 3D modeling and delineation of clonal lineages were featured, and the conference included sessions on a wide variety of topics relevant to researchers, including systems biology; antibody deep sequencing and repertoires; the effects of antibody gene variation and usage on antibody response; directed evolution; knowledge-based design; antibodies in a complex environment; polyreactive antibodies and polyspecificity; the interface between antibody therapy and cellular immunity in cancer; antibodies in cardiometabolic medicine; antibody pharmacokinetics, distribution and off-target toxicity; optimizing antibody formats for immunotherapy; polyclonals, oligoclonals and bispecifics; antibody discovery platforms; and antibody-drug conjugates.
Engineered Immunogens to Elicit Antibodies Against Conserved Coronavirus Epitopes (2023)

Immune responses to SARS-CoV-2 primarily target the receptor binding domain of the spike protein, which continually mutates to escape acquired immunity. Other regions in the spike S2 subunit, such as the stem helix and the segment encompassing residues 815-823 adjacent to the fusion peptide, are highly conserved across sarbecoviruses and are recognized by broadly reactive antibodies, providing hope that vaccines targeting these epitopes could offer protection against both current and emergent viruses. Here we employed computational modeling to design scaffolded immunogens that display the spike 815-823 peptide and the stem helix epitopes without the distracting and immunodominant RBD. These engineered proteins bound with high affinity and specificity to the mature and germline versions of previously identified broadly protective human antibodies. Epitope scaffolds interacted with both sera and isolated monoclonal antibodies with broadly reactivity from individuals with pre-existing SARS-CoV-2 immunity. When used as immunogens, epitope scaffolds elicited sera with broad betacoronavirus reactivity and protected as "boosts" against live virus challenge in mice, illustrating their potential as components of a future pancoronavirus vaccine.
Zinc oxide nanorods grown on two-dimensional macroporous periodic structures and plane Si as a pH sensor (2008)

p H determination is a strong prerequisite for many biochemical and biological processes. We used two methods, namely, the electrochemical potential method (experimental) and site binding method (theoretical), to study the sensitivity of zinc oxide (ZnO) nanorods grown on two-dimensional macroporous periodic structures (2DMPPS) (p-and n-type) and plane n-type Si substrates for use as an intracellular pH sensing device. The dimension of these nanorods varied in radius between 50 and 300 nm and lengths of 1–10 μm. We found that the sensitivity of ZnO nanorods increases with reductions in size, from 35 mV/pH for D=300 nm and L=10 μm, to 58 mV/pH for D=50 nm and L=1 μm, using the site binding model. The experimental electrochemical potential difference for the ZnO nanorods working electrode versus Ag/AgCl reference electrode showed a high sensitivity range for ZnO nanorods grown on 2DMPPS n-Si substrate as compared to plane n-Si at room temperature for pH ranging from 4 to 12 in buffer and NaCl solutions.
Electro-optic Frequency Comb Generation in Ultrahigh-Q Integrated Lithium Niobate Micro-resonators (2018)

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text M. Zhang, C. Wang, B. Buscaino, A. Shams-Ansari, J. M. Kahn, and M. Loncar, "Electro-optic Frequency Comb Generation in Ultrahigh-Q Integrated Lithium Niobate Micro-resonators," in Conference on Lasers and Electro-Optics, OSA Terchnical Digest (online) (Optica Publishing Group, 2018), paper FW3E.4. Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
Field applications of stand-off sensing using visible/NIR multivariate optical computing (2001)

12 A novel multivariate visible/NIR optical computing approach applicable to standoff sensing will be demonstrated with porphyrin mixtures as examples. The ultimate goal is to develop environmental or counter-terrorism sensors for chemicals such as organophosphorus (OP) pesticides or chemical warfare simulants in the near infrared spectral region. The mathematical operation that characterizes prediction of properties via regression from optical spectra is a calculation of inner products between the spectrum and the pre-determined regression vector. The result is scaled appropriately and offset to correspond to the basis from which the regression vector is derived. The process involves collecting spectroscopic data and synthesizing a multivariate vector using a pattern recognition method. Then, an interference coating is designed that reproduces the pattern of the multivariate vector in its transmission or reflection spectrum, and appropriate interference filters are fabricated. High and low refractive index materials such as Nb<SUB>2</SUB>O<SUB>5</SUB> and SiO<SUB>2</SUB> are excellent choices for the visible and near infrared regions. The proof of concept has now been established for this system in the visible and will later be extended to chemicals such as OP compounds in the near and mid-infrared.
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks (2022)

To shift the computational burden from real-time to offline in delay-critical power systems applications, recent works entertain the idea of using a deep neural network (DNN) to predict the solutions of the AC optimal power flow (AC-OPF) once presented load demands. As network topologies may change, training this DNN in a sample-efficient manner becomes a necessity. To improve data efficiency, this work utilizes the fact OPF data are not simple training labels, but constitute the solutions of a parametric optimization problem. We thus advocate training a sensitivity-informed DNN (SI-DNN) to match not only the OPF optimizers, but also their partial derivatives with respect to the OPF parameters (loads). It is shown that the required Jacobian matrices do exist under mild conditions, and can be readily computed from the related primal/dual solutions. The proposed SI-DNN is compatible with a broad range of OPF solvers, including a non-convex quadratically constrained quadratic program (QCQP), its semidefinite program (SDP) relaxation, and MATPOWER; while SI-DNN can be seamlessly integrated in other learning-to-OPF schemes. Numerical tests on three benchmark power systems corroborate the advanced generalization and constraint satisfaction capabilities for the OPF solutions predicted by an SI-DNN over a conventionally trained DNN, especially in low-data setups.
Inverse privacy (2016)

Seeking a market-based solution to the problem of a person's unjustified inaccessibility to their private information.
Individual common variants exert weak effects on the risk for autism spectrum disorders (2012)

While it is apparent that rare variation can play an important role in the genetic architecture of autism spectrum disorders (ASDs), the contribution of common variation to the risk of developing ASD is less clear. To produce a more comprehensive picture, we report Stage 2 of the Autism Genome Project genome-wide association study, adding 1301 ASD families and bringing the total to 2705 families analysed (Stages 1 and 2). In addition to evaluating the association of individual single nucleotide polymorphisms (SNPs), we also sought evidence that common variants, en masse, might affect the risk. Despite genotyping over a million SNPs covering the genome, no single SNP shows significant association with ASD or selected phenotypes at a genome-wide level. The SNP that achieves the smallest P-value from secondary analyses is rs1718101. It falls in CNTNAP2, a gene previously implicated in susceptibility for ASD. This SNP also shows modest association with age of word/phrase acquisition in ASD subjects, of interest because features of language development are also associated with other variation in CNTNAP2. In contrast, allele scores derived from the transmission of common alleles to Stage 1 cases significantly predict case status in the independent Stage 2 sample. Despite being significant, the variance explained by these allele scores was small (Vm< 1%). Based on results from individual SNPs and their en masse effect on risk, as inferred from the allele score results, it is reasonable to conclude that common variants affect the risk for ASD but their individual effects are modest.
ChemInform Abstract: Potential Antitumor Agents. Part 45. Synthesis, DNA‐Bindung Interaction and Biological Activity of Triacridine Derivatives. (1986)

Abstract Ausgehend von den Diaminen (I) erhält man die Diamide (IV), die auf Antitumor‐Wirkung geprüft werden.