gebhart/patrepeval huggingface dataset:
An Analysis of Factors Affecting Pull Force for the Pultrusion of Graphite/Epoxy Composites (1994)

The influence of process parameter settings on the pull force required for the pultrusion of two epoxy resin systems reinforced with unidirectional graphite fiber was investigated. Experiments were conducted using the Shell EPON 9310/9360/537 epoxy resin system and the Shell EPON 9420/9470/537 epoxy resin system. Five independent factors—fiber volume, line speed, die zone I temperature, die zone 2 temperature, and die zone 3 temperature—were examined in each study. Regression analysis was used to iden tify the factors and factor interactions that influence the pull force required for the pultru sion of each resin system and to develop mathematical models to describe the pull force. The models indicated that process variable interactions were especially significant. Re sponse surface methods were used to illustrate the nature of the interactions. Additional statistical techniques were employed to investigate the influence of resin viscosity on the pull force and the influence of pull force on the four-point flexural strength of the com posites produced.
Development of a Lean Staged Combustor for Small Aero-Engines (2012)

As the amount of air traffic is rapidly increasing, the local air quality around airports and the global climate change are two major concerns. Under the circumstances, the regulation for NOx emission becomes more stringent year after year. Lean burn technology is one of the key technologies for the next generation civil aircraft engines. Kawasaki Heavy Industries (KHI) has been developing a Lean Pre-mixed Pre-vaporized (LPP) combustor for around 10,000 lb thrust class engine under the project of Environmentally Compatible Aircraft Engines for Small Aircraft (ECO)[1] led by New Energy and Industrial Technology Development Organization (NEDO) and Ministry of Economy, Trade and Industry (METI). In this paper the results of the LPP combustor development about reducing NOx emissions is presented. The LPP burner main premixed duct is designed to have better mixing fuel and air. KHI have achieved 30%CAEP4 NOx without deterioration of the other combustor performance. In general altitude relight would be one of the weak points for LPP combustion system. Successful lights were confirmed up to 30kft altitude condition in the multi sector rig, which is as good as that of the conventional combustors. Several LPP burners have been developed through CFD results. The burners have been spray-tested and combustion-tested in a single burner test rig in order to improve the burner potential. The burners selected in the single sector tests have been evaluated in a multi sector combustor rig with several combustor configurations. This paper describes the multi sector test results together with the brief introduction on burner development activities through burner tests.
Acidic properties of benzimidazoles and substituent effects. II. The substituent effect on the imidazole formation from p-substituted-o-phenylenediamines and on the acid dissociation of the benzimidazoles. (1977)

2-(2-Pyridyl) benzimidazole and 5 (or 6)-substituted derivatives were synthesized by the condensation of p-substituted-o-phenylene diamines with α-picoline in the presence of sulfur or with picolinic acid. These acid dissociation constants were measured in aqueous buffers at 20°by spectrophotometry and fitted the Hammett equation with the use of σpara (ρ=1.3). On the other hand, 2-(2-pyridyl) benzimidazole was nitrated to give its mono-nitro compound which was identical with 5 (or 6)-nitro-2-(2-pyridyl) benzimidazole obtained from p-nitro-o-phenylene diamine. The correlation of the position of substituent groups with their effects for the acidity of 2-(2-pyridyl) benzimidazoles was discussed.
Enantioselective Synthesis of (R)-(+)-4a-Cyanomethyl-6-Methoxy-3,4,9,10-Tetrahydrophenanthren-2-One (1995)

Abstract Enantioselective synthesis of the phenanthrenone 3, is described key-intermediate in morphinan synthesis
"Pesta": New Granular Formulations for Steinernema carpocapsae. (1993)

"Pesta," a new granular product for use with entrapped biocontrol agents, is based on a cohesive dough made of wheat flour, fillers, and other additives. Infective juveniles of the entomopathogen Steinernema carpocapsae strain All incorporated in Pesta granules emerged when the granules were softened by immersion in water. These granules may be useful for the biocontrol of insect pests in the soil. Storage temperature had the greatest effect on recovery of nematodes, followed by the moisture content of the granules. Recovery of nematodes was the same among the formulations tested and was unaffected by storage in nitrogen. Nematode recovery after storage at 21 C decreased to zero after 3-6 weeks. Storage of samples at 4 C and with a high moisture content (19.9-23.1%) greatly improved nematode viability.
Reductive Regeneration of Sulfated CuO/Al<sub>2</sub>O<sub>3</sub> Catalyst−Sorbents in Hydrogen, Methane, and Steam (1998)

A study of the reductive regeneration of sulfated 4.3% CuO/Al2O3 catalyst−sorbents suitable for the simultaneous removal of SO2 and NOX from flue gases was carried out with various reductants. H2 demonstrated a propensity to form CuS (ca. 20% CuS at 400 °C) and subsequent formation of H2S above 550 °C. Surface aluminum sulfate species are slowly reduced with H2 to the sulfide at temperatures in excess of 450 °C. Subsequently, H2S forms at higher temperatures, while bulk aluminum sulfate species were found to reduce in H2 directly to Al2O3 with the formation of H2S above 550 °C. Although a much weaker reducing agent, regeneration with CH4 leads to significantly less CuS formation and no H2S production. The formation of CuS, which was not reduced by CH4, occurred via the readsorption of product SO2 gases on the catalyst−sorbent. Interestingly, no CuS was formed when water vapor was added to the CH4 reductant gases and more SO2 evolved in these conditions.
A Virtualized, Programmable Content Delivery Network (2014)

In this paper, we present an open platform of content delivery networks (CDNs), namely vCDN, by which a wide range of delivery strategies can be dynamically deployed via a centralized controller and a pool of geographically dispersed cloud resources. A control application can be written for representing a specific strategy w.r.t required scale, responsiveness, and security in content delivery, and then translated into a virtualized delivery network, a form of an overlay network on cloud storages and virtual machines. In doing so, we explore the unique combination of named data networking (NDN), software defined networking (SDN), and distributed monitoring so as to achieve to a certain extent programmability in content delivery. Different from traditional CDNs, the strategy of content delivery in vCDN is not statically fixed but can be tailored by each service provider via the deployment of its own control application. Throughout a few applications running on our test bed at 7 geographical locations with multiple cloud resources, we demonstrate the feasibility of the programmable CDN and the delivery performance enhancement by inter-cloud network route managements.
Relações Internacionais no Brasil: a expansão dos manuais* (2006)

Resenha de BAUMANN, Renato, CANUTO, Otaviano, et al. Economia internacional: teoria e experiência brasileira. Rio de Janeiro: Elsevier. 2004. 442 p. ISBN: 85-353-1441-0. HERZ, Mônica e HOFFMANN, Andrea Ribeiro. Organizações internacionais: história e práticas. Rio de Janeiro: Elsevier, 2004. 268 p. ISBN: 85-352-1453-4. NOGUEIRA, João Pontes e MESSARI, Nizar. Teoria das relações internacionais: correntes e debates. Rio de Janeiro: Elsevier, 2005. 250 p. 85-352- 1687-1.
Evaluation of dc insulation performance based on space-charge measurements and accelerated life tests (2000)

Space charge observation is becoming the most widely used technique to evaluate polymeric materials for dc insulation applications, particularly HV cables. However, quantities are still lacking that can help to summarize and interpret the huge amount of data resulting from space charge measurements, and that also are associated with the electrical performance of the insulation. The purpose of this paper is to propose test methods and parameters, based on the pulsed electroacoustic technique, which can be used for the evaluation of the electrical performance of polymeric insulation under dc fields. These parameters are related to the space charge magnitude and mobility as well as to the internal electric field amplification, the rate of charge accumulation, and the threshold field above which charge is stored in the insulation. In order to investigate the meaning of the parameters proposed for the assessment of insulation performance, the correlation between these parameters associated with space charge and insulation life is discussed. Examples are reported with reference to five different candidate materials for dc cable insulation.
Characteristics of dual polarized flat antenna (2002)

The tri-plate flat antenna has a very attractive performance such as wide frequency band-width, high efficiency and easy manufacturing. The dual polarized flat array antenna had been practically developed by experimental optimization. Since this kind of multi-layer antenna is excited by an electromagnetic coupled feeding probe, it is difficult to obtain an analysis model including the effect of probe and there are few references for this antenna. This paper not only presents a theory of the dual polarized flat antenna to calculate the input impedance characteristics of the feeding probes, the phase condition of each radiation element, verifying with measured data, but also proposes a conversion technique to the dual circular polarization.
Quality of Trilateration: Confidence-Based Iterative Localization (2009)

The proliferation of wireless and mobile devices has fostered the demand for context-aware applications, in which location is one of the most significant contexts. Multilateration, as a basic building block of localization, however, has not yet overcome the challenges of 1) poor ranging measurements; 2) dynamic and noisy environments; and 3) fluctuations in wireless communications. Hence, multilateration-based approaches often suffer from poor accuracy and can hardly be employed in practical applications. In this study, we propose Quality of Trilateration (QoT) that quantifies the geometric relationship of objects and ranging noises. Based on QoT, we design a confidence-based iterative localization scheme, in which nodes dynamically select trilaterations with the highest quality for location computation. To validate this design, a prototype network based on wireless sensor motes is deployed and the results show that QoT well represents trilateration accuracy, and the proposed scheme significantly improves localization accuracy.
Person re-identification in images with deep learning (2018)

Video surveillance systems are of a great value for public safety. As one of the most import surveillance applications, person re-identification is defined as the problem of identifying people across images that have been captured by different surveillance cameras without overlapping fields of view. With the increasing need for automated video analysis, this task is increasingly receiving attention. However, this problem is challenging due to the large variations of lighting, pose, viewpoint and background. To tackle these different difficulties, in this thesis, we propose several deep learning based approaches to obtain a better person re-identification performance in different ways. In the first proposed approach, we use pedestrian attributes to enhance the person re-identification. The attributes are defined as semantic mid-level descriptions of persons, such as gender, accessories, clothing etc. They could be helpful to extract characteristics that are invariant to the pose and viewpoint variations thanks to the descriptor being on a higher semantic level. In order to make use of the attributes, we propose a CNN-based person re-identification framework composed of an identity classification branch and of an attribute recognition branch. At a later stage, these two cues are combined to perform person re-identification. Secondly, among the challenges, one of the most difficult is the variation under different viewpoint. The same person shows very different appearances from different points of view. To deal with this issue, we consider that the images under various orientations are from different domains. We propose an orientation-specific CNN. This framework performs body orientation regression in a gating branch, and in another branch learns separate orientation-specific layers as local experts. The combined orientation-specific CNN feature representations are used for the person re-identification task. Thirdly, learning a similarity metric for person images is a crucial aspect of person re-identification. As the third contribution, we propose a novel listwise loss function taking into account the order in the ranking of gallery images with respect to different probe images. Further, an evaluation gain-based weighting is introduced in the loss function to optimize directly the evaluation measures of person re-identification. At the end, in a large gallery set, many people could have similar clothing. In this case, using only the appearance of single person leads to strong ambiguities. In realistic settings, people often walk in groups rather than alone. As the last contribution, we propose to learn a deep feature representation with displacement invariance for group context and introduce a method to combine the group context and single-person appearance. For all the four contributions of this thesis, we carry out extensive experiments on popular benchmarks and datasets to demonstrate the effectiveness of the proposed systems.
Macrophage migration inhibitory factor enhances <i>Pseudomonas aeruginosa</i> biofilm formation, potentially contributing to cystic fibrosis pathogenesis (2017)

Macrophage migration inhibitory factor (MIF) is a key proinflammatory mediator that we have previously shown to be associated with an aggressive clinical phenotype in cystic fibrosis. It possesses unique tauto‐merase enzymatic activity. However, to date, no human‐derived substrate has been identified that has the capacity to interact with this cytokine’s unique tautomerase activity. This led us to hypothesize that MIF may have the capacity to interact with external substrates. We describe for the first time how Pseudomonas aeruginosa can utilize human recombinant MIF (rMIF) to significantly ( P < 0.01) enhance its endogenous biofilm formation. Our in vivo studies demonstrate that utilizing a small‐molecular‐weight inhibitor targeting MIF’s tautomerase activity (SCD‐19) significantly reduces the inflammatory response in a murine pulmonary chronic P. aeruginosa model. In addition, we show that in in vitro experiments, pretreatment of P. aeruginosa with rMIF is associated with reduced bacterial killing by tobramycin. Our novel findings support the concept of an anti‐MIF strategy that targets this enzymatic activity as a potential future antibacterial therapeutic approach.—Tynan, A., Mawhinney, L., Armstrong, M. E., O’Reilly, C., Kennedy, S., Caraher, E., Jülicher, K., O’Dwyer, D., Maher, L., Schaffer, K., Fabre, A., McKone, E.F., Leng, L., Bucala, R., Bernhagen, J., Cooke, G., Donnelly, S. C. Macrophage migration inhibitory factor enhances Pseudomonas aeruginosa biofilm formation, potentially contributing to cystic fibrosis pathogenesis. FASEB J. 31, 5102–5110 (2017). www.fasebj.org
A Behavioral Paradigm for the Evaluation of (1976)

We have developed an experimental paradigm for the behavioral evaluation of narcotic antagonists. The study specifically examined the heroin-seeking behavior of hard-core narcotic addicts on a research ward under blocked and unblocked conditions. Each patient served as his own control. A long-term follow-up program in the community, with aftercare services, was utilized to determine the relationship between behavior observed on the research ward and behavior that occurred in the community. While preliminary one-month follow-up data offered some cause for an optimistic view of narcotic antagonist treatment, behavioral data observed on the research ward raised serious doubts about the possibility of extinguishing heroin self-administration with antagonists. The behavioral data were not consistent with laboratory descriptions of extinction. Rather, the data suggested that narcotic antagonist programs should emphasize the development of contingencies for the reinforcement of narcotic antagonist self-administration to ensure an opiate-free state, instead of focusing on an extinction approach.
Mutagenesis Protocols in Saccharomyces cerevisiae by In Vivo Overlap Extension (2010)

A high recombination frequency and its ease of manipulation has made Saccharomyces cerevisiae a unique model eukaryotic organism to study homologous recombination. Indeed, the well-developed recombination machinery in S. cerevisiae facilitates the construction of mutant libraries for directed evolution experiments. In this context, in vivo overlap extension (IVOE) is a particularly attractive protocol that takes advantage of the eukaryotic apparatus to carry out combinatorial saturation mutagenesis, site-directed recombination or site-directed mutagenesis, avoiding ligation steps and additional PCR reactions that are common to standard in vitro protocols.
A versatile selection system for matrix displays requiring AC drive waveforms (1975)

An apparatus which generates complex high-voltage drive waveforms with zero d.c. content for matrix or multiplexed displays is described. It is versatile in that the same apparatus can generate several types of selection waveforms. Most of the component circuits are of the low-voltage binary-level switching type with few high-voltage drive devices and float on the outputs of other circuits. The breakdown voltages of the drivers are minimized by synthesizing the required complex high-voltage waveforms from simpler lower amplitude component waveforms. This scheme is particularly suited to driving liquid crystal displays.
Modeling and Cancellation of Self-Interference in Full-Duplex Radio Transceivers: Volterra Series-Based Approach (2018)

This paper presents a novel digital self-interference canceller for inband full-duplex radio transceivers. The proposed digital canceller utilizes a Volterra series with sparse memory to model the residual SI signal, and it can thereby accurately reconstruct the self-interference even under a heavily nonlinear transmitter power amplifier. To the best of our knowledge, this is the first time such a sparse-memory Volterra series has been used to model the self-interference within an inband full-duplex device. The performance of the Volterra-based canceller is evaluated with real-life measurements that incorporate also an active analog canceller. The results show that the novel digital canceller suppresses the SI by 34 dB in the digital domain, outperforming the state- of-the-art memory polynomial-based solution by a margin of 5 dB. The total amount of cancellation is nearly 110 dB with a transmit power of +30 dBm, even though a shared transmit/receive antenna is used. To the best of our knowledge, this is the highest reported cancellation performance for a shared-antenna full-duplex device with such a high transmit power level.
[Treatment of superficial bladder tumors using the argon laser]. (1989)

The authors report their experience of Argon laser in superficial bladder cancer (332 tumors in 106 patients). The advantages are: unneeded anesthesia, ambulatory treatment, absence of bleeding, no gaz, no obturator nerve stimulation, limited focal reaction and unlikely complications. The disadvantages are: duration of treatment, limited pathological material (with cold cup biopsy). The limitations are: size of the tumor (less than or equal to 1 cm) and a location in an area that can be reached perpendicularly. This kind of treatment does not seem to reduce the recurrence rate.
Masquerades of War (2015)

This collection explores the concepts and practices of masquerade as they apply to concepts and practices of war. The contributors insist that masquerades are everyday aspects of the politics, praxis, and experiences of war, while also discovering that finding masquerades and tracing how they work with war is hardly simple. With a range of theories, innovative methodologies, and contextual binoculars, masquerade emerges as a layered and complex phenomenon. It can appear as state deception, lie, or camouflage, as in the population-centric American warfare in Iraq that was sold as good for the local people, or the hidden violence Russian military forces used on each other and on local men in Chechnya. Masquerade can also be part of a people's war logic as exemplified by the Maoist movement in India. Yet masquerade can also be understood as a normal social mask that people don to foreground an identity or belief from one's cluttered repertoire in order to gain agency. Elements of masquerade can appear in texts that proclaim seemingly unequivocal positions while simultaneously yet subtly suggesting opposing positions. Masquerades of all kinds also seem ubiquitous in fieldwork research and in resistance movements in war zones. Perhaps masquerade, though, is ultimately the denial of death lurking behind the clarion call of security, a call that bolsters war by making militarized policing normal to secure populations from terrorists. These interpretations and others comprise Masquerades of War. This book will be of much interest to students of critical war studies, critical security, conflict studies and IR in general.
Lumped-Parameter Thermal Model for Axial Flux Permanent Magnet Machines (2012)

A lumped-parameter thermal model is presented for axial flux permanent magnet (AFPM) machines. The model provides the steady-state thermal solution to derive the temperatures at different parts of the machine, including the temperatures in the stator windings and the temperature of the magnets. Temperature-dependent thermal properties of the materials used in the machine construction as well as the stator winding resistance and consequently copper losses require temperature update in accurate design of the machine. Therefore, an iterative coupled electromagnetic and thermal design program is proposed in this study. A 5-kW AFPM generator is designed using the proposed program with regarding the thermal behavior of the machine. Tests performed on the designed machine verify that the defined thermal resistance network has a high ability to predict the nodal temperatures accurately.
Pinpointing the Subsystems Responsible for the Performance Deviations in a Load Test (2010)

Large scale systems (LSS) contain multiple subsystems that interact across multiple nodes in sometimes unforeseen and complicated ways. As a result, pinpointing the subsystems that are the source of performance degradation for a load test in LSS can be frustrating, and might take several hours or even days. This is due to the large volume of performance counter data collected such as CPU utilization, Disk I/O, memory consumption and network traffic, the limited operational knowledge of analysts about all subsystems of an LSS and the unavailability of up-to-date documentation in a LSS. We have developed a methodology that automatically ranks the subsystems according to the deviation of their performance in a load test. Our methodology uses performance counter data of a load test to craft performance signatures for the LSS subsystems. Pair-wise correlations among the performance signatures of subsystems within a load test are compared with the corresponding correlations in a baseline test to pinpoint the subsystems responsible for the performance violations. Case studies on load test data obtained from a large telecom system and that of an open source benchmark application show that our approach provides an accuracy of 79% and do not require any instrumentation or domain knowledge to operate.