gebhart/patrepeval huggingface dataset:
Fuel Reactivity Controlled Compression Ignition (RCCI) Combustion in Light- and Heavy-Duty Engines (2011)

<div class="section abstract"><div class="htmlview paragraph">Single-cylinder engine experiments were used to investigate a fuel reactivity controlled compression ignition (RCCI) concept in both light- and heavy-duty engines and comparisons were made between the two engine classes. It was found that with only small changes in the injection parameters, the combustion characteristics of the heavy-duty engine could be adequately reproduced in the light-duty engine. Comparisons of the emissions and performance showed that both engines can simultaneously achieve NOx below 0.05 g/kW-hr, soot below 0.01 g/kW-hr, ringing intensity below 4 MW/m<sup>2</sup>, and gross indicated efficiencies above 50 per cent. However, it was found that the peak gross indicated efficiency of the baseline light-duty engine was approximately 7 per cent lower than the heavy-duty engine. The energy balances of the two engines were compared and it was found that the largest factor contributing to the lower efficiency of the light-duty engine was increased heat transfer losses. Detailed CFD modeling was used to explore options to reduce the heat transfer losses of the light-duty engine. It was found that by reducing the swirl ratio from 2.2 to 0.7, increasing the engine speed from 1900 to 2239 rev/min, and improving the combustion chamber geometry, the heat transfer losses in the light-duty engine could be reduced by the equivalent of 2 per cent of the fuel energy. The modeling showed that light duty engine could achieve 53 per cent gross indicated efficiency, while maintaining near-zero NOx and soot, and an acceptable ringing intensity.</div></div>
Tailoring of Magnetocaloric Effect in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>Ni</mml:mtext><mml:mrow><mml:mtext>45</mml:mtext><mml:mtext>.5</mml:mtext></mml:mrow></mml:msub><mml:msub><mml:mtext>Mn</mml:mtext><mml:mrow><mml:mtext>43</mml:mtext><mml:mtext>.0</mml:mtext></mml:mrow></mml:msub><mml:msub><mml:mtext>In</mml:mtext><mml:mrow><mml:mtext>11</mml:mtext><mml:mtext>.5</mml:mtext></mml:mrow></mml:msub></mml:math> Metamagnetic Shape Memory Alloy (2012)

We investigate the direct and inverse magnetocaloric effect in Ni 45.5 Mn 43.0 In 11.5 Heusler alloy ribbons comparing the results obtained for the as-quenched sample with the ones after different annealing procedures. An enhancement and shift of the entropy maximum to near room temperature is observed in all annealed samples. A remarkable magnetocaloric effect is observed in samples with short-time treatment (10 minutes) and at the lowest annealing temperature. We show that the suppressing of uncompensated martensitic transition and thermal hysteresis are both influenced by the heat treatment. Also, an improvement on Curie’s temperature is observed and, at low magnetic field, it has been risen up to 310 K. Our results demonstrate that the martensitic transformation is highly sensitive to the applied magnetic field and also to the annealing treatment, which means that the magnetocaloric effect can be tuned showing different behaviors for each sample.
Image-Based Rendering of Synthetic Diffuse Objects in Natural Scenes (2006)

We present a method for solving the global illumination problem for synthetic diffuse objects. The approach generates realistic shading for applications where a synthetic object is to be inserted in a natural scene. Using only a few images of the surroundings of the object, we first build an environment map for representing the ambient light. We then model the global illumination integral using Chebyshev polynomials. We show that due to the orthogonality of 2D Chebyshev moments, the global illumination integral can reduce to the inner product of two vectors, representing the irradiance and the bidirectional reflectance distribution function (BRDF). The Chebyshev moments of these two functions are computed off-line and stored in the memory. The rendering of the object in the scene then becomes a simple problem of computing the inner product of the two vectors for each point
LogSed: Anomaly Diagnosis through Mining Time-Weighted Control Flow Graph in Logs (2017)

Detecting execution anomalies is very important to monitoring and maintenance of cloud systems. People often use execution logs for troubleshooting and problem diagnosis, which is time consuming and error-prone. There is great demand for automatic anomaly detection based on logs. In this paper, we mine a time-weighted control flow graph (TCFG) that captures healthy execution flows of each component in cloud, and automatically raise anomaly alerts on observing deviations from TCFG. We outlined three challenges that are solved in this paper, including how to deal with the interleaving of multiple threads in logs, how to identify operational logs that do not contain any transactional information, and how to split the border of each transaction flow in the TCFG. We evaluate the effectiveness of our approach by leveraging logs from an IBM public cloud production platform and two simulated systems in the lab environment. The evaluation results show that our TCFG mining and anomaly diagnosis both perform over 80% precision and recall on average.
Reporting Financial Performance (2004)

Income, expenses, gains, and losses with similar informational properties can, in principle, be aggregated and presented as subsets of comprehensive income without losing information. Of particular importance is the splitting of comprehensive income into earnings and all other items. Earnings is typically conceptualized as an aggregation that excludes items that are nonoperating, nonrecurring, or outside management's control. This paper analyzes the concept of earnings and finds that it cannot be defined satisfactorily for the purposes of an accounting standard. The paper proposes an alternative approach to the reporting of financial performance, which provides a useful disaggregation of comprehensive income without attempting to define earnings. This approach is based upon the separate presentation, in a matrix format, of remeasurements, which are amounts resulting from revisions to the carrying amounts of assets and liabilities. This approach is shown to parallel the concept of earnings in its predictive and feedback properties, yet it is also shown to have additional benefits. In particular, the proposed approach has a relatively objective, consistently applied measurement basis, it displays clearly the effects of the mixed attribute accounting model, and it facilitates analysis of the effects of measurement subjectivity on reported financial performance. The analysis in this paper has been discussed extensively by the IASB and is expected, in due course, to form part of an IASB public consultative document.
3D target detection and tracking based on scene flow (2016)

This paper proposes a novel method for 3D multi moving object detection based on scene flow. Scene flow is solved by using the variational method. Datasets are captured by the stereo vision camera systems. Energy function consists of two parts - data term and smooth term. Data term includes the gray and gradient constancy assumption. Smooth term includes optical flow term and disparity term. We use the robust penalty function to reduce the impact of outliers and use multi-resolusion algorithm to solve large displacement problem. In order to solve the nonlinear problem that penalty function brings, we use fixed point iteration and first-order Taylor expansion. After the dence scene flow is obtained, we use Improved Fuzzy C-mean Clustering algorithm to segment the 3D motion vectors dynamically and obtain the moving target information. With the information of the camera, we can get the coordinate position of the moving object in the real world. Experiments show that our method can get better results of 3D moving target detection.
Pulse duration and wavelength effects in laser scribing of thin-film polycrystalline PV materials (1997)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation A. D. Compaan, I. Matulionis, S. Nakade, U. Jayamaha; Pulse duration and wavelength effects in laser scribing of thin-film polycrystalline PV materials. AIP Conf. Proc. 15 February 1997; 394 (1): 567–571. https://doi.org/10.1063/1.52839 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Synthetic-aperture-radar real-time processing (1980)

The possibility of performing synthetic-aperture-radar (s.a.r.) processing on board a satellite is of current interest to the European Space Agency (ESA). A brief outline of the fundamental principles and capabilities of s.a.r. is given, and several real-time processor configurations are discussed, in terms of their suitability for use on board a satellite. In particular, the applicability of new signal-processing technologies is considered, since only these can provide suitable devices for the implementation of an on-board processor.
FHY1: a phytochrome A-specific signal transducer (2001)

Phytochromes are plant photoreceptors that regulate plant growth and development with respect to the light environment. Following the initial light-perception event, the phytochromes initiate a signal-transduction process that eventually results in alterations in cellular behavior, including gene expression. Here we describe the molecular cloning and functional characterization of Arabidopsis FHY1. FHY1 encodes a product (FHY1) that specifically transduces signals downstream of the far-red (FR) light-responsive phytochrome A (PHYA) photoreceptor. We show that FHY1 is a novel light-regulated protein that accumulates in dark (D)-grown but not in FR-grown hypocotyl cells. In addition, FHY1 transcript levels are regulated by light, and by the product of FHY3, another gene implicated in FR signaling. These observations indicate that FHY1 function is both FR-signal transducing and FR-signal regulated, suggesting a negative feedback regulation of FHY1 function. Seedlings homozygous for loss-of-function fhy1 alleles are partially blind to FR, whereas seedlings overexpressing FHY1 exhibit increased responses to FR, but not to white (WL) or red (R) light. The increased FR-responses conferred by overexpression of FHY1 are abolished in a PHYA-deficient mutant background, showing that FHY1 requires a signal from PHYA for function, and cannot modulate growth independently of PHYA.
Drift-Flux Parameters for Three-Phase Steady-State Flow in Wellbores (2004)

Abstract Drift-flux models represent multiphase flow in wellbores or pipes in terms of a number of empirically determined parameters. Because of the lack of data for two and three-phase flow in large-diameter inclined pipes, existing parameters are commonly based on small-diameter pipe experiments, which can lead to significant errors when the models are applied to wellbore flows. In this work, we use recent large-diameter experimental data for the determination of drift-flux parameters for oil-water-gas flow. The parameters are computed through application of an optimization procedure. It is shown that gas holdup in three-phase systems can be estimated using a two-phase flow model by viewing the system as an effective gas-liquid system, with oil and water comprising the 'liquid' phase. This approach is, however, generally inaccurate for the determination of oil and water holdups, in which case the effect of gas must be taken into account. Specifically, for pipe inclinations away from horizontal, even small amounts of gas can act to eliminate the slip between oil and water. As the pipe deviation approaches horizontal, however, oil-water slip persists, even in the presence of gas. We develop and apply a unified two and three-phase flow model to capture this gas effect. The new model is shown to provide much more accurate predictions for oil and water holdups in three-phase systems than were achievable with previous models.
Plasmid co-integrates of prophage lambda and R factor R100 (1976)

Single and tandem insertions of prophage lambda into R100 have been isolated. Insertions into the transfer genes, insertions into the transfer control gene finO, and insertions into regions that result in no detectable phenotypic change were found. From the last type, deletion mutants were isolated which established the sequence of antibiotic resistance genes as tet-cml-fus-str-sul-mer in R100. High frequency transducing phage preparations lambdamer, lambdasul str, and lambdasul str cml were also isolated from this type.
Technical Adequacy and Acceptability of Curriculum-Based Measurement and the Measures of Academic Progress (2015)

Curriculum-based measurement in reading (CBM-R) and the Measures of Academic Progress (MAP) are assessment tools widely employed for universal screening in schools. Although a large body of research supports the validity of CBM-R, limited empirical evidence exists supporting the technical adequacy of MAP or the acceptability of either measure for universal screening. Purposes of the current study were to replicate and extend prior research by (a) examining the extent to which CBM-R performance measures more than word reading skills, (b) evaluating the concurrent validity of MAP with CBM-R, (c) determining the potential benefit of administering MAP with CBM-R for universal screening, and (d) examining teachers’ acceptability of MAP and CBM-R. Participants included 802 students in Grades 1 to 5 who were administered three CBM-R probes and the MAP during universal screening and 86 elementary teachers who completed a universal screening assessments survey. Results provide evidence of the concurrent validity of MAP with CBM-R and suggest both measures are acceptable to teachers. Implications for research and practice are discussed.
RANK: AI-Assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks (2023)

Modern government and enterprise networks are the target of sophisticated multi-step attacks called Advanced Persistent Threats (APTs), designed and carried out by expert adversaries. The prolonged nature of APTs results in overwhelming the analyst with an increasingly impractical number of alerts. As a result, the challenge of APT detection is ideal for automation through artificial intelligence (AI). In this paper, we propose the first, up to our knowledge, end-to-end AI-assisted architecture for detecting APTs – RANK. We propose advanced algorithms and solutions for four consecutive sub-problems: 1) alert templating and merging, 2) alert graph construction, 3) alert graph partitioning into incidents, and 4) incident scoring and prioritization. Additionally, we discuss the necessary optimizations and techniques enabling the system to operate in a real-time fashion. We evaluate our architecture against the 2000 DARPA, Mordor, as well as a large number of real-world datasets from enterprise networks. Extensive results are provided showing four orders-of-magnitude reduction in the amount of data to be reviewed, innovative extraction and security-aware scoring of incidents. The extracted incidents can be further used for downstream tasks. In our experiments where we have access to a portion of alert labels, we are able achieve 87% balanced accuracy.
Catalytic Reduction of Aqueous Chlorate With MoO<i><sub>x</sub></i> Immobilized on Pd/C (2020)

Chlorate (ClO3–) is an undesirable byproduct in the chlor-alkali process. It is also a heavily used chemical in various industrial and agricultural applications, making it a toxic water pollutant worldwide. Catalytic reduction of ClO3– into Cl– by H2 is of great interest to both emission control and water purification, but platinum group metal catalysts are either sluggish or severely inhibited by halide anions. Here, we report on the facile preparation, robust performance, and mechanistic investigation of a MoOx–Pd/C catalyst for aqueous ClO3– reduction. Under 1 atm H2 and room temperature, the Na2MoO4 precursor is rapidly immobilized from aqueous solution onto Pd/C as a mixture of low-valent Mo oxides. The catalyst enables complete reduction of ClO3– in a wide concentration range (e.g., 1 μM to 1 M) into Cl–. The addition of Mo to Pd/C not only enhances the catalytic activity by >55-fold, but also provides strong resistance to concentrated salts. To probe the reaction mechanisms, we conducted a series of kinetic measurements, microscopic and X-ray spectroscopic characterizations, sorption experiments, tests with other oxyanion substrates, and a comparative study using dissolved Mo species. The catalytic sites are the reduced MoOx species (primarily MoIV), showing selective and proton-assisted reactivity with ClO3–. This work demonstrates a great promise of using relatively abundant metals to expand the functionality of hydrogenation catalysts for environmental and energy applications.
Bulky Aryloxide Ligand Stabilizes a Heterogeneous Metathesis Catalyst (2014)

The reaction of [W(=O)(=CHCMe2Ph)(dAdPO)2], containing bulky 2,6-diadamantyl aryloxide ligands, with partially dehydroxylated silica selectively yields a well-defined silica-supported alkylidene complex, [(≡SiO)W(=O)(=CHCMe2Ph)(dAdPO)]. This fully characterized material is a very active and stable alkene metathesis catalyst, thus allowing loadings as low as 50 ppm in the metathesis of internal alkenes. [(≡SiO)W(=O)(=CHCMe2Ph)(dAdPO)] also efficiently catalyzes the homocoupling of terminal alkenes, with turnover numbers exceeding 75,000 when ethylene is constantly removed to avoid the formation of the less reactive square-based pyramidal metallacycle resting state.
Sickle cell disease: Reducing the global disease burden (2019)

Sickle cell disease has been largely an invisible global health issue, especially in regions of high incidence mainly due to lack of awareness among both the local health policy makers and the public. Public health interventions, such as screening of newborns, provision of prophylaxis against bacterial infections, and immunizations against pneumococcal infections can have the greatest impact. Family education on assessment of spleen size and subsequent detection of splenic sequestration and promptness to seek medical attention for a febrile child is also important in the control of the morbidity and mortality of children with SCD living in resource-poor countries. In addition to these affordable interventions, hydroxyurea therapy is necessary to decrease both the acute and chronic complications of sickle cell anemia. Sickle cell disease has been recognized to have global health significance by key institutions including the World Health Organization in 2006 and the United Nation is 2008. In 2010, the WHO released national health care management goals and set targets to be achieved by the countries in sub-Saharan Africa for the control and management of SCD. These are yet to be translated into action. To do, this would require active and sustainable public-private partnerships for sustainable program development in these regions. Effective interventions should be integrated into existing health systems, the best examples linking primary healthcare facilities to specialized sickle cell disease centers in regional and tertiary healthcare institutions.
Critical role for granulocyte colony-stimulating factor in inflammatory arthritis (2004)

Granulocyte colony-stimulating factor (G-CSF) is a well known regulator of granulopoiesis, but the role of endogenous G-CSF in inflammatory joint disease has not been explored. We studied the response of G-CSF-deficient mice in experimental models of joint inflammation. We show that G-CSF deficiency protects mice from acute and chronic arthritis. Reduced severity was associated with blunted mobilization of granulocytic cells from the bone marrow and less cellular infiltrate and cellular activation in inflamed joints. We also demonstrate that G-CSF blockade in established collagen-induced arthritis in WT mice markedly reduces disease manifestations and is as effective as tumor necrosis factor blockade. Our results reveal a critical role for G-CSF in driving joint inflammation and highlight G-CSF as a potential therapeutic target in inflammatory joint diseases, such as rheumatoid arthritis.
An Efficient Method to Factorize the RSA Public Key Encryption (2011)

The security of public key encryption such as RSA scheme relied on the integer factoring problem. The security of RSA algorithm based on positive integer N, which is the product of two prime numbers, the factorization of N is very intricate. In this paper a factorization method is proposed, which is used to obtain the factor of positive integer N. The present work focuses on factorization of all trivial and nontrivial integer numbers as per Fermat method and requires fewer steps for factorization process of RSA modulus N. By experimental results it has been shown that factorization speed becomes increasing as compare to traditional Trial Division method.
Affinity Purification, Overexpression, and Characterization of Chaperonin 10 Homologues Synthesized with and without N-terminal Acetylation (1995)

Utilizing the ability of bacterial chaperonin 60 (GroEL) to functionally interact with chaperonin 10 (Cpn10) homologues in an ATP-dependent fashion, we have purified substantial amounts of mammalian, chloroplast, and thermophilic Cpn10 homologues from their natural host. In addition, large amounts of recombinant rat Cpn10 were produced in Escherichia coli and found to be identical to its authentic counterpart except for the lack of N-terminal acetylation. By comparing these two forms of Cpn10, it was found that acetylation does not influence the oligomeric structure of Cpn10 and is not essential for chaperone activity or mitochondrial import in vitro. In contrast, N-terminal acetylation proved crucial in the protection of Cpn10 against degradation by N-ethylmaleimide-sensitive proteases derived from organellar preparations of rat liver. The availability of large amounts of both affinity-purified and recombinant Cpn10 will facilitate not only further characterization of the eukaryotic folding machinery but also further scrutiny of the reported function of Cpn10 as early pregnancy factor.
Fabrication of Discs for Three-Dimensional Pit Selection Using Damascene Process (2007)

The damascene process using chemical mechanical polishing was introduced to embed a super-resolution material in the pits of a read-only memory (ROM) substrate to fabricate discs using a next-generation large-capacity optical-disc technique called three-dimensional pit selection. GeSbTe was used as the super-resolution material. Experimental results using scanning electron microscopy and energy-dispersive X-ray spectroscopy revealed that GeSbTe remained only in the pits. The readout signal from a disc tester demonstrated that GeSbTe in the damascene disc changed its phases between amorphous and crystal. The polishing rate could be controlled by adjusting the conditions for the concentration of colloidal silica and the pH of the slurry. The test equipment we fabricated for mass producing the discs demonstrated that the degree of polishing could automatically be determined by detecting the distortion in the polishing arm caused by friction between the polishing head and the sample surface.