gebhart/patrepeval huggingface dataset:
Dredging Operations Technical Support Program. Planning-Level Cost Estimates of Dredged Material Containment Islands in New York Harbor. (1988)

Planning-level cost estimates are presented for each of three containment island configurations to be located in Lower New York Bay. Estimates are considered to be only 'order of magnitude' values based on typical unit prices for construction and operation of the assumed island configurations. Islands are limited to 500 acres including all dike boundaries. Sand dike, rock and sand dike, and sheet pile cofferdam designs are considered; cost estimates developed for each design and compared collectively. Keywords: Containment island alternatives; Containment island cost estimates; Dredged material containment island.
Limits on classifying pulsed signals (2002)

Fundamental bounds are presented for classifying pulsed signals observed in additive Gaussian noise. The bounds specify the maximum number of signals that can be reliably classified as a function of the signal to noise ratio (SNR) and the dimension of the subspace containing the signals. The bounds are based on a "sphere packing" arrangement for the signals that maximizes the probability of correct classification. The bounds are easy to compute and provide a reference to facilitate comparisons between classification algorithms. An example is presented in which the signals consist of RF pulses with different center frequencies, and the sphere packing bounds are compared with the performance of the maximum likelihood classifier.
Weakly supervised learning of multi-object 3D scene decompositions using deep shape priors (2022)

Representing scenes at the granularity of objects is a prerequisite for scene understanding and decision making. We propose PriSMONet, a novel approach based on Prior Shape knowledge for learning Multi-Object 3D scene decomposition and representations from single images. Our approach learns to decompose images of synthetic scenes with multiple objects on a planar surface into its constituent scene objects and to infer their 3D properties from a single view. A recurrent encoder regresses a latent representation of 3D shape, pose and texture of each object from an input RGB image. By differentiable rendering, we train our model to decompose scenes from RGB-D images in a self-supervised way. The 3D shapes are represented continuously in function-space as signed distance functions which we pre-train from example shapes in a supervised way. These shape priors provide weak supervision signals to better condition the challenging overall learning task. We evaluate the accuracy of our model in inferring 3D scene layout, demonstrate its generative capabilities, assess its generalization to real images, and point out benefits of the learned representation.
A pharmacogenetic study of docetaxel and thalidomide in patients with androgen-independent prostate cancer (AIPC) using targeted human DMET genotyping platform (2007)

3580 Background: Pharmacogenetic research holds the promise of individualizing cancer therapy by reducing inter-individual variability in drug response, thus enhancing efficacy and reducing toxicity. Past research has been limited due to the lack of a robust genotyping platform that can screen for single nucleotide polymorphisms (SNPs) in the dozens of genes known to be involved in drug disposition. We pilot tested the new Affymetrix Targeted Human Drug Metabolizing Enzymes and Transporter (DMET) 1.0 panel in an exploratory study of docetaxel and thalidomide. The DMET 1.0 panel tests for 1,229 genetic variations in 169 drug disposition genes, including 49 CYP450 genes, 73 non-CYP genes, and 47 transporters. Methods: DNA samples from 47 patients with AIPC enrolled in a randomized phase II trial using docetaxel and thalidomide vs. docetaxel alone were genotyped using the DMET 1.0 panel. Patients’ response was determined using RECIST criteria. Toxicities were graded using the NCI-CTC, and patients were identified if they experienced grade 3 or 4 toxicity. Given the distinct side effect profiles of these two drugs, specific toxicities were assigned as being due to either docetaxel or thalidomide. An association between the SNP parameters and clinical response or toxicity was tested using Mehta’s modification to Fisher’s exact test. Reported results were limited to those where p&lt;0.01. Results: Six SNPs in three genes were associated with response to therapy: PPAR-delta (p=0.0011), SULT1C2 (p=0.0083), and CHST3 (4 SNPs, p=0.0001 to 0.0034). For toxicities associated with docetaxel, five SNPs in three genes were identified: UGT1A1 (2 SNPs, p=0.0009 to 0.0094), UGT1A9 (2 SNPs, p=0.0016 to 0.0096), and CYP2A7 (p=0.0027). SNPs in CYP2B6 (p=0.0033), ABCC1 (p=0.0036), and ABCC6 (p=0.0075) were associated with toxicities from thalidomide. Conclusion: We identified nine genes in which SNPs were potentially significantly associated with clinical response and toxicity to treatment. These results highlight the important role that non-CYP450 and phase II drug metabolizing enzymes may play in the efficacy and disposition of docetaxel and thalidomide. Confirmatory studies are warranted. No significant financial relationships to disclose.
DNA and Protein Co-Immunization Improves the Magnitude and Longevity of Humoral Immune Responses in Macaques (2014)

We tested the concept of combining DNA with protein to improve anti-HIV Env systemic and mucosal humoral immune responses. Rhesus macaques were vaccinated with DNA, DNA&protein co-immunization or DNA prime followed by protein boost, and the magnitude and mucosal dissemination of the antibody responses were monitored in both plasma and mucosal secretions. We achieved induction of robust humoral responses by optimized DNA vaccination delivered by in vivo electroporation. These responses were greatly increased upon administration of a protein boost. Importantly, a co-immunization regimen of DNA&protein injected in the same muscle at the same time induced the highest systemic binding and neutralizing antibodies to homologous or heterologous Env as well as the highest Env-specific IgG in saliva. Inclusion of protein in the vaccine resulted in more immunized animals with Env-specific IgG in rectal fluids. Inclusion of DNA in the vaccine significantly increased the longevity of systemic humoral immune responses, whereas protein immunization, either as the only vaccine component or as boost after DNA prime, was followed by a great decline of humoral immune responses overtime. We conclude that DNA&protein co-delivery in a simple vaccine regimen combines the strength of each vaccine component, resulting in improved magnitude, extended longevity and increased mucosal dissemination of the induced antibodies in immunized rhesus macaques.
Mathematical Modeling of Liquid‐Junction Photovoltaic Cells: I . Governing Equations (1984)

The equations which govern the liquid‐junction photovoltaic cell are presented in the context of a one‐dimensional mathematical model. This model treats explicitly the semiconductor, the electrolyte, and the semiconductor‐electrolyte interface in terms of potentials and concentrations of charged species. The model incorporates macroscopic transport equations in the bulk of the semiconductor and electrolyte, coupled with a microscopic model of the semiconductor‐electrolyte interface. Homogeneous and heterogeneous recombination of electron‐hole pairs is included within the model. Recombination takes place at the semiconductor‐electrolyte interface through interfacial sites, which can enhance the recombination rate. The coupled nonlinear ordinary differential equations of the model were posed in finite‐difference form and solved numerically. The results are presented in succeeding papers.
High-capacity optical storage using multiple wavelengths,multiple layers and volume holograms (1995)

A system is proposed that combines both the multilayer storage and the wavelength multiplexing afforded by using volume holograms to enhance by several fold the optical data storage capacity of compact discs. The storage capacity and interchannel crosstalk are analysed as functions of data-channel wavelength separation and reading beam spot size. A storage capacity of 9.7 Gbyte per disc is provided when six layers and six wavelengths are used.
Self-aligned double patterning process for sub-15nm nanoimprint template fabrication (2021)

Nanoimprint lithography (NIL) is a promising technology on next generation lithography for the fabrication of semiconductor devices. NIL is a one-to-one lithographic technology with a contact transfer methodology using templates. Therefore, critical dimension (CD) error and defect performance of templates has direct impact on wafer performance. The previous paper reported that the self-aligned double patterning (SADP) process on master template had better performance on resolution and defect performance [2]. In proceeding with development of SADP template process technology, we found that CD errors occurred in the area with a pattern density change. CD control over any pattern density is one of the critical issues. In this report, we have investigated the impact of the proximity effect correction (PEC) and fogging effect correction (FEC) parameters for electron beam writing on gap space and core space. It was found that the optimal PEC parameter for resist CD is not the best for the core space and the gap space. The resist CD is uniform, but there is a difference in resist shape on the local pattern density variation. It was also found that the core space had dependency on global pattern density even if the optimal FEC parameter for resist CD was applied. FEC can correct resist CD, but it cannot adjust resist shape. By using the optimal PEC and FEC parameters for SADP process, the gap space range of 0.6 nm and the core space range of 0.5 nm were successfully obtained.
Scheduling Solutions for the Paper Industry (2002)

This paper describes a decision support system for paper production scheduling. This is the first system to provide an integrated solution to paper production scheduling and to consider interactions between different stages of the manufacturing and distribution process. Using a multicriteria optimization approach, the system generates multiple enterprisewide schedules to reveal tradeoffs between the multiple, often competing, objectives. The large portfolio of algorithms used by the system is embedded in an agent-based decision support framework, called Asynchronous Team (A-Team). Successful implementations of the system in several paper mills in North America have resulted in significant savings and improved customer satisfaction.
Synthesis applications of cationic aza-Cope rearrangements. 20. Total synthesis of (.+-.)-meloscine and (.+-.)-epimeloscine (1989)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSynthesis applications of cationic aza-Cope rearrangements. 20. Total synthesis of (.+-.)-meloscine and (.+-.)-epimeloscineLarry E. Overman, Graeme M. Robertson, and Albert J. RobichaudCite this: J. Org. Chem. 1989, 54, 6, 1236–1238Publication Date (Print):March 1, 1989Publication History Published online1 May 2002Published inissue 1 March 1989https://pubs.acs.org/doi/10.1021/jo00267a003https://doi.org/10.1021/jo00267a003research-articleACS PublicationsRequest reuse permissionsArticle Views1265Altmetric-Citations44LEARN 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-AlertscloseSupporting Info (1)»Supporting Information Supporting Information Get e-Alerts
Demonstration of 1 Million <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula>-Factor on Microglassblown Wineglass Resonators With Out-of-Plane Electrostatic Transduction (2014)

In this paper, we report Q-factor over 1 million on both n = 2 wineglass modes, and high-frequency symmetry (Af/f ) of 132 ppm on wafer-level microglassblown 3-D fused silica wineglass resonators at a compact size of 7-mm diameter and center frequency of 105 kHz. In addition, we demonstrate for the first time, out-of-plane capacitive transduction on microelectromechanical systems wineglass resonators. High Q-factor is enabled by a high aspect ratio, self-aligned glassblown stem structure, careful surface treatment of the perimeter area, and low internal loss fused silica material. Electrostatic transduction is enabled by detecting the spatial deformation of the 3-D wineglass structure using a new out-of-plane electrode architecture. Out-of-plane electrode architecture enables the use of sacrificial layers to define the capacitive gaps and 10 μm capacitive gaps have been demonstrated on a 7-mm shell, resulting in over 9 pF of active capacitance within the device. Microglassblowing may enable batch-fabrication of high-performance fused silica wineglass gyroscopes at a significantly lower cost than their precision-machined macroscale counterparts.
Calculation of Dynamic Tire Forces from Aircraft Instrumentation Data (2010)

Abstract When evaluating aircraft brake control system performance, it is difficult to overstate the importance of understanding dynamic tire forces—especially those related to tire friction behavior. As important as they are, however, these dynamic tire forces cannot be easily or reliably measured. To fill this need, an analytical approach has been developed to determine instantaneous tire forces during aircraft landing, braking and taxi operations. The approach involves using aircraft instrumentation data to determine forces (other than tire forces), moments, and accelerations acting on the aircraft. Inserting these values into the aircraft’s six degree-of-freedom equations-of-motion allows solution for the tire forces. While there are significant challenges associated with this approach, results to date have exceeded expectations in terms of fidelity, consistency, and data scatter. The results show excellent correlation to tests conducted in a tire test laboratory. And, while the results generally follow accepted tire friction theories, there are noteworthy differences.
Mechatronic design of direct drive systems (2006)

In contrast to conventional drives, with direct drives the motor is not created until it is integrated into the machine. The mechanical and electrical subsystems are merged to form the mechatronic system by the velocity and position control loops. Since control parameters have a crucial influence on the behavior of the complete system, a main goal of this article is to explain their importance for machine characteristics such as stiffness and dynamics. The disturbance behavior of directly driven systems is discussed in detail. Using the balance theorem, it is shown why an increase in stiffness gained by control in one frequency spectrum is always interconnected with a loss of stiffness for other frequencies. A finite element model of a roll serves to explain the modeling approach for directly driven machines and to show how the system stiffness can be increased by a proper choice of the encoder position
Privacy-Preserving Distributed Clustering for Electrical Load Profiling (2020)

Electrical load profiling supports retailers and distribution network operators in having a better understanding of the consumption behavior of consumers. However, traditional clustering methods for load profiling are centralized and require access to all the smart meter data, thus causing privacy issues for consumers and retailers. To tackle this issue, we propose a privacy-preserving distributed clustering framework for load profiling by developing a privacy-preserving accelerated average consensus (PP-AAC) algorithm with proven convergence. Using the proposed framework, we modify several commonly used clustering methods, including k-means, fuzzy C-means, and Gaussian mixture model, to provide privacy-preserving distributed clustering methods. In this way, load profiling can be performed only by local calculations and information sharing between neighboring data owners without sacrificing privacy. Meanwhile, compared to traditional centralized clustering methods, the computational time consumed by each data owner is significantly reduced. The privacy and complexity of the proposed privacy-preserving distributed clustering framework are analyzed. The correctness, efficiency, effectiveness, and privacy-preserving feature of the proposed framework and the proposed PP-AAC algorithm are verified using a real-world Irish residential dataset.
ChemInform Abstract: Selective CO Detection by Using Indium Oxide‐Based Semiconductor Gas Sensor. (1996)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Linearizing high performance semiconductor optical amplifiers: techniques and performance (2002)

We have established an experimental setup for measuring the third order intermodulation distortion (IMD) in semiconductor optical amplifiers (SOAs) under a variety of conditions using multiple frequency input techniques.
Pharmacological Management of Acute Food-Allergic Reactions (2015)

There is currently no well-established disease-modifying treatment for food allergy, so management relies upon strict avoidance of food allergen(s), implementation of risk minimisation strategies to avoid inadvertent exposure and allergic reactions, and prompt management of acute allergic reactions, should they occur. The pharmacological management of acute food-induced allergic reactions is dependent on the underlying pathophysiology of the allergic reaction and the severity of clinical symptoms and signs. Mild to moderate symptoms of an immunoglobulin E-mediated acute allergic reaction may be treated effectively with an oral anti-histamine. In patients exhibiting the clinical features of anaphylaxis, adrenaline is the only first-line therapy recommended by expert consensus. Adjunctive therapies, including anti-histamines, beta-agonists and glucocorticoids, may be used in the subsequent management of immunoglobulin E-mediated anaphylaxis. Here, we present the current recommendations for the pharmacological management of acute food-induced allergic reactions, together with a summary of the evidence supporting these recommendations.
Syntheses of coriolin, 1-deoxy-1-ketocoriolin and 1,8-dideoxy-1,8-diketocoriolin from coriolin B. (1980)

Hydrolysis of 5,8-di-O-tetrahydropyranyl-5-deoxo-5-hydroxycoriolin which was prepared from coriolin B, followed by oxidation of the hydroxy groups at C-5, or C-1 and C-5, or C-1, C-5 and C-8 afforded coriolin (2), 1-deoxy-1-ketocoriolin (3) and 1,8-dideoxy-1,8-diketocoriolin (4). All three ketones were found to have antitumor activity, whereas antibacterial activity was observed in 2 and 3 but not in 4.
The Cytochrome P450 Epoxygenase Pathway Regulates the Hepatic Inflammatory Response in Fatty Liver Disease (2014)

Fatty liver disease is an emerging public health problem without effective therapies, and chronic hepatic inflammation is a key pathologic mediator in its progression. Cytochrome P450 (CYP) epoxygenases metabolize arachidonic acid to biologically active epoxyeicosatrienoic acids (EETs), which have potent anti-inflammatory effects. Although promoting the effects of EETs elicits anti-inflammatory and protective effects in the cardiovascular system, the contribution of CYP-derived EETs to the regulation of fatty liver disease-associated inflammation and injury is unknown. Using the atherogenic diet model of non-alcoholic fatty liver disease/non-alcoholic steatohepatitis (NAFLD/NASH), our studies demonstrated that induction of fatty liver disease significantly and preferentially suppresses hepatic CYP epoxygenase expression and activity, and both hepatic and circulating levels of EETs in mice. Furthermore, mice with targeted disruption of Ephx2 (the gene encoding soluble epoxide hydrolase) exhibited restored hepatic and circulating EET levels and a significantly attenuated induction of hepatic inflammation and injury. Collectively, these data suggest that suppression of hepatic CYP-mediated EET biosynthesis is an important pathological consequence of fatty liver disease-associated inflammation, and that the CYP epoxygenase pathway is a central regulator of the hepatic inflammatory response in NAFLD/NASH. Future studies investigating the utility of therapeutic strategies that promote the effects of CYP-derived EETs in NAFLD/NASH are warranted.
Proportional–Integral Extremum Seeking for Vapor Compression Systems (2018)

In this paper, we optimize vapor compression system (VCS) power consumption through the application of a novel proportional-integral extremum-seeking controller (PI-ESC) that converges at the same timescale as the process. This extremum-seeking method uses time-varying parameter estimation to determine the local gradient in the map from manipulated inputs to performance output. Additionally, the extremum-seeking control law includes terms proportional to the estimated gradient, which requires subsequent modification of the estimation routine in order to avoid bias. The PI-ESC algorithm is derived and compared to other methods on a benchmark example that demonstrates the improved convergence rate of PI-ESC. PI-ESC is applied to the problem of compressor discharge temperature setpoint selection for a VCS such that power consumption is driven to a minimum. A physics-based simulation model of the VCS is used to demonstrate that with PI-ESC, convergence to the optimal operating point occurs faster than the bandwidth of typical disturbances-enabling application of extremum-seeking control to VCSs in environments under realistic operating conditions. Finally, experiments on a production room air conditioner installed in an adiabatic test facility validate the approach in the presence of significant noise and actuator and sensor quantization.