gebhart/patrepeval huggingface dataset:
Missile Flight Control Using micro-Actuated Flow Effectors - Review of Fiscal Year 2005/2006 Progress (2006)

Abstract : Superior performance is a key goal in weapons design. Missiles must fly faster and farther, and be more agile, compact and lightweight. The United States have been very active in the development of smart structures for military applications such as missile guidance. For example, DARPA and the Air Force Office of Scientific Research are sponsoring the development of miniaturized active flow technologies to achieve far-term objectives for smart bombs and missiles. Their principal concepts for altering the flow around a body are centred on miniaturized devices that are embedded in the missile skin and/or airframe. The objective of this project is to demonstrate with hardware and software: 1) engineered micro-flow effectors of specific geometry and placement that are able to produce controllable aerodynamic forces on a missile under supersonic conditions or a delta wing under subsonic conditions, 2) microactuators that are able to meet the force, kinematic and thermal requirements set by the aerothermal environment and 3) control algorithms running on non-flightweight electronics and feedback sensors that take in command signals and output appropriate actuator drive signals to produce the desired aerodynamic force on a wind or water tunnel delta wing model. This report documents the progress made by the project members for fiscal year 2005/2006 in the areas of missile aerodynamics, delta wing aerodynamics, microactuator modeling, control synthesis and micro-fabrication.
Improving Mentorship and Supervision during COVID-19 to Reduce Graduate Student Anxiety and Depression Aided by an Online Commercial Platform Narrative Research Group (2021)

Before COVID-19, post-secondary learning was dominated by in-person, institution-organized meetings. With the 12 March 2020 lockdown, learning became virtual, largely dependent on commercial online platforms. Already more likely to experience anxiety and depression in relation to their research work, perhaps no students have endured more regarding the limitations imposed by COVID-19 than graduate students concerning their mentorship and supervision. The increase in mental health issues facing graduate students has been recognized by post-secondary institutions. Programs have been devised to reduce these challenges. However, the additional attention and funds to combat depression and anxiety have not shown anticipated results. A new approach to mitigate anxiety and depression in graduate students through mentorship and supervision is warranted. Offered here is an award-winning model featuring self-directed learning in a community formed by adding together different, equal, diverse points of view rather than agreement. The approach, delivered through a commercial online platform, is non-hierarchical, and based in narrative research. The proposed model and approach are presented, discussed and limitations considered. They are offered as a promising solution to ebb the increase in anxiety and depression in graduate students—particularly in response to COVID-19.
Finding simplet-designs with enumeration techniques (1998)

Lattice basis reduction in combination with an efficient backtracking algorithm is used to find all (4 996 426) simple 7-(33,8,10) designs with automorphism group PΓL(2, 32). © 1998 John Wiley & Sons, Inc. J Combin Designs 6:79–90, 1998
Conferring Selectivity to Chemical Sensors via Polymer Side-Chain Selection:  Thermodynamics of Vapor Sorption by a Set of Polysiloxanes on Thickness-Shear Mode Resonators (2000)

Entropy of mixing is shown to be the driving interaction for the endothermic physisorption process of organic vapor partitioning into seven systematically side-chain-modified (polar, acidic, basic, polarizable side groups and groups interacting via H-bridges) polysiloxanes on thickness-shear mode resonators. Each sensor was exposed to seven analytes, selected for their diversity of functional groups. This systematic investigation of sorption yields benchmarking data on physisorption selectivity: response data and modeling reveal a direct correlation of partition coefficients with interactions between specific polymer side chains and analyte functional groups. Partition coefficients were determined for every polymer/analyte pairing over the 273-343 K range at 10 K intervals; from partition coefficient temperature dependence, overall absorption enthalpies and entropies were calculated. By subtracting the enthalpy and entropy of condensation for a given pure analyte, its mixing entropy (primarily combinatorial) and mixing enthalpy (associated with intermolecular interactions) with each polymer matrix were determined. These two crucial thermodynamic parameters determine the chemical selectivity patterns of the polymers for the analytes. Simple molecular modeling based on the polymer contact surface share of the modified side group or the introduced functional group reveals a direct correlation between the partition coefficients and the side-group variation.
Application-specific instruction generation for configurable processor architectures (2004)

Designing an application-specific embedded system in nanometer technologies has become more difficult than ever due to the rapid increase in design complexity and manufacturing cost. Efficiency and flexibility must be carefully balanced to meet different application requirements. The recently emerged configurable and extensible processor architectures offer a favorable tradeoff between efficiency and flexibility, and a promising way to minimize certain important metrics (e.g., execution time, code size, etc.) of the embedded processors. This paper addresses the problem of generating the application-specific instructions to improve the execution speed for configurable processors. A set of algorithms, including pattern generation, pattern selection, and application mapping, are proposed to efficiently utilize the instruction set extensibility of the target configurable processor. Applications of our approach to several real-life benchmarks on the Altera Nios processor show encouraging performance speedup (2.75X on average and up to 3.73X in some cases).
Unsupervised color image segmentation: with application to skin tumor borders (1996)

The images used in this research were digitized from 35mm color photographic slides obtained from a private dermatology practice and from New York University. The authors compared 6 color segmentation methods and their effectiveness as part of an overall border-finding algorithm. The PCT/median cut and adaptive thresholding algorithms provided the lowest average error and show the most promise for further individual algorithm development. Combining the different methods resulted in further improvement in the number of correctly identified tumor borders, and by incorporating additional heuristics in merging the segmented object information, one could potentially further increase the success rate. The algorithm is broad-based and suggests several areas for further research. One possible area of exploration is to incorporate an intelligent decision making process as to the number of colors that should be used for segmentation in the PCT/median cut and adaptive thresholding algorithms. For comparison purposes, the number of colors was kept constant at three in the authors' application. Other areas that can be explored are noise removal and object classification to determine the correct tumor object.
Blockade of Epidermal Growth Factor Receptors Chemosensitizes Breast Cancer Cells through Up-Regulation of Bnip3L (2005)

Epidermal growth factor receptor-1 (EGFR) and EGFR-2 (HER2) have become major targets for cancer treatment. Blocking antibodies and small-molecule inhibitors are being used to silence the activity of these receptors in different tumors with varying efficacy. Thus, a better knowledge on the signaling pathways activated by EGFR and HER2 may help unravel novel therapeutic targets and molecular markers of response. Here, we show that treatment of breast cancer cell lines with blocking antibodies against EGFR (cetuximab) or HER2 (trastuzumab) promotes the specific induction of proapoptotic Bnip3L and chemosensitization. Moreover, we found that the Bnip3L gene is transcriptionally activated by FoxO3a. Trastuzumab-mediated induction of Bnip3L and nuclear translocation of FoxO3a was also shown in pleural effusion cells from a breast cancer patient. Transfection of breast cancer cells with constitutively active FoxO3a or with Bnip3L promotes sensitization to chemotherapy-induced apoptosis. On the contrary, blockade of Bnip3L expression by a small interfering RNA strategy significantly diminished the chemosensitizing effect of cetuximab. We found also an inverse correlation between EGFR and Bnip3L expression in surgical specimens from patients with breast cancer. Therefore, blockading EGFR or HER2 specifically up-regulates Bnip3L, which is required for chemosensitization of breast cancer cells. This novel pathway provides also the rationale for therapeutic strategies aimed to induce the expression of Bnip3L.
Structural Features of Allergenic Molecules (2005)

In this paper the relation between protein allergenicity (the capacity to induce IgE antibody production or the capacity to activate mast cells sensitized with IgE antibodies induced by a cross-reactive allergen) and protein structure is discussed. While cross-reactivity is to a large degree predictable from primary sequence comparisons, the IgE-inducing capacity is mostly determined by factors other than the primary sequence. Two routes to IgE are discussed: (1) the atopic route (used by allergens from pollen and mites) in which a direct switch from mu to epsilon is common and (2) the 'modified Th2' route (used by allergens from pets) in which the class switch to IgE is often preceded by a switch to IgG4. According to this working hypothesis, the choice between these two routes is determined at the level of the germinal center activity.
Involvement of the default mode network under varying levels of cognitive effort (2022)

Everyday cognitive functioning is characterized by constant alternations between different modes of information processing, driven by constant fluctuations in environmental demands. At the neural level, this is realized through corresponding dynamic shifts in functional activation and network connectivity. A distinction is often made between resting and task processing and between task-negative and task-positive functional networks. The Default Mode Network (DMN) is classically considered as a resting state (i.e. task-negative) network, upregulated in the absence of cognitive demands. In contrast, task-positive networks have been labelled the Extrinsic Mode Network (EMN). We investigated changes in brain activation and functional network connectivity in an experimental situation of repeated alterations between levels of cognitive effort, following a block-design. Using fMRI and a classic Stroop paradigm, participants switched back and forth between periods of no effort (resting), low effort (word reading, i.e. automatic processing based on learned internal representations and rules) and high effort (color naming, i.e. cognitively controlled perceptual processing of specific features of external stimuli). Results showed an expected EMN-activation for task versus resting contrasts, and DMN-activation for rest versus task contrasts. The DMN was in addition more strongly activated during periods of low effort contrasted with high effort, suggesting a gradual up- and down-regulation of the DMN network, depending on the level of demand and the type of processing required. The often reported "anti-correlation" between DMN and EMN was strongest during periods of low effort, indicating intermittent contributions of both networks. Taken together, these results challenge the traditional view of the DMN as solely a task-negative network. Instead, both the EMN and DMN may contribute to low-effort cognitive processing. In contrast, periods of resting and high effort are dominated by the DMN and EMN, respectively.
Chip-level differential encoding/detection of spread-spectrum signals for CDMA radio transmission over fading channels (1997)

This paper is concerned with the design and performance evaluation of a direct-sequence spread-spectrum transmission and signal-detection technique for application to code-division multiple-access mobile radio networks. Unlike the conventional differential encoding/detection of data symbols, such a technique envisages differential encoding/detection of the spreading code chips to counteract the fast time-selective fading encountered in mobile radio transmissions. Binary PSK modulation on a Rician frequency-flat-fading channel is assumed, with Gaussian and Rayleigh channels as particular cases. The bit-error rate performance of the receiver is analytically evaluated as a function of the relevant system parameters, and the impact on the receiver performance of a carrier frequency offset is also investigated.
Evaluation of the serologic response against two consensus V3 loop peptides from human immunodeficiency virus-1 in Cuban patients (1998)

This study showed high reactivity against two consensus peptides from the V3 loop of gp120 among patients with HIV. Large scale studies are needed to determine whether the titers or avidity of anti-V3 antibodies, at the early stages of infection, are predictive of disease progression. Both peptides are candidates for inclusion in experimental vaccines.
Effects of Silcosteel� transfer line on the sampling of volatile organic compounds (1998)

A 150-ft section of 1/16-in. o.d.×0.030-in i.d. fused-silica-lined stainless tubing (Silcosteel®) was studied to determine its suitability as a transfer line in the sampling and analysis of vapor samples of volatile organic compounds (VOCs), principally in subsurface soil gases. A variety of test atmospheres of individual VOCs at concentrations ranging from 0.01 to 10,000 ppm were used to challenge the tubing. The adsorptive and desorptive properties of the tubing were characterized under conditions [14 °C (57 °F) and 90% RH] comparable to subsurface environments and also at temperatures of 2 °C (35 °F) and 46 °C (115 °F). Clearance rates of the selected VOCs from the tubing were also determined. Direct-sampling ion-trap mass spectrometry (DS-ITMS) real-time air monitoring was used to measure the effects of the transfer line on the vapor samples. © 1998 John Wiley & Sons, Inc. Field Analyt Chem Technol 2:309–314 1998
Photorealistic hair modeling, animation, and rendering (2004)

Article Share on Photorealistic hair modeling, animation, and rendering Author: Nadia Magnenat-Thalmann University of Geneva University of GenevaView Profile Authors Info & Claims SIGGRAPH '04: ACM SIGGRAPH 2004 Course NotesAugust 2004 Pages 10–eshttps://doi.org/10.1145/1103900.1103910Online:08 August 2004Publication History 0citation1,597DownloadsMetricsTotal Citations0Total Downloads1,597Last 12 Months18Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Sensitivity Enhancement of an Inductively Coupled Local Detector Using a HEMT‐Based Current Amplifier (2015)

An integrated current amplifier based on a HEMT can enhance the sensitivity of inductively coupled local detectors when weakly coupled. This amplifier enables efficient signal transmission between customized user coils and commercial clinical coils, without the need for a specialized signal interface. Magn Reson Med 75:2573-2578, 2016. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
Human neutrophil chemotactic response to group A streptococci: bacteria-mediated interference with complement-derived chemotactic factors (1983)

The influence of M protein on the capacity of group A streptococci to generate neutrophil chemotactic activity in normal human serum was examined. Incubation of serum with M- bacteria for up to 10 min led to the production of chemotactic activity. In contrast, incubation of serum with M+ bacteria did not elicit serum chemotactic activity over a 1-h period, even though complement was activated to completion. Further experiments revealed that both M+ and M- bacteria could inhibit the chemotactic activity of serum preexposed to zymosan. However, the M+ bacteria possessed a 130-fold-greater inhibitory capacity in this regard than the M- bacteria. This antichemotactic property was not detectable in the fluid phase of serum incubated with bacteria, thereby ruling out neutrophil-directed effects. Treatment of the bacteria with trypsin resulted in the release of the inhibitory molecule, suggesting that proteins are involved in its maintenance at the cell surface. However, the resistance of the chemotactic factor inactivator to pepsin and trypsin indicated that the protease-sensitive M protein was not involved. These results demonstrate a heretofore uncharacterized activity of group A streptococci that may contribute to virulence through modulation of the host chemotactic response.
Mike Meyers' Cissp Certification Passport with Cdrom (2002)

From the Publisher:
Mike Meyers, the industry expert on professional certification, brings you this concise, affordable, and portable study tool for the CISSP certification exam. With an intensive focus on only what you need to know to pass this challenging exam plus practice exam software on CD, this Certification Passport is your ticket to success on exam day.
Reference Values for Analytes of 24-H Urine Collections Known to Be Complete (1988)

One hundred and twenty two 24-h urine collections were obtained from a representative sample of men and women in the general population aged 25-44 years. The collections were verified for their completeness by urine recovery of oral doses of para-amino benzoic acid. Means (with 0.95 reference intervals) for both sexes for 24-h urinary output were determined for nitrogen, urea, creatinine, urate, ammonia, sodium, potassium, volume, and pH. Within person variation in nitrogen, urea, creatinine, ammonia, sodium and potassium was estimated for a consecutive 28-day series of 24-h urine collections for eight individuals. Within person variation was greatest for sodium and least for creatinine. These differences when compared with the between person variation in the analytes studied have implications for the precision with which a result from a single specimen can be used to place an individual within a distribution of values for epidemiological purposes. In clinical biochemistry, the population results reported here should be appropriate as a reference base for comparison with individual patient results.
Diffraction phase microscopy for wafer inspection (2012)

We built a compact, common path, laser epi-illumination diffraction phase microscope (epi-DPM) for defect detection on a patterned semiconductor wafer. The wafer's underlying structure and buried defects with ~ 100 nm size were measured.
<title>Behavioral observations in thermal imaging of the big brown bat: Eptesicus fuscus</title> (1991)

Bats are often difficult to observe in their natural habitat. Because of their nocturnal, acoustically oriented behavior and their tendency to group together in inaccessible crevices, researchers have been limited in their ability to obtain even the most basic data on their ecology and behavior. A number of strategies have been used to quantify the behavior of bats in their natural environment. Since 1978, when Slusher first introduced military night vision applications at the Entomological Society of America symposium, there have been few applications of similar techniques in the study of bats. In the study of bats, infrared imaging provides these advantages: it is portable; self-contained; non- invasive; and can provide a permanent recording of bat location and behavior which may be used for subsequent laboratory analysis and comparison, and is especially effective where stop and slow motion video permits observation of transient occurrences and allows for sampling techniques. In the current study, big brown bats, Eptesicus fuscus, were first observed in a laboratory setting to determine their responses to the presence of the IR imager. Following the determination of its non- invasive nature, big brown bats were located and observed in natural surroundings. The data obtained showed that infrared imaging has potential application in counting emerging bats; counting or estimating size of nesting colonies or area occupied in situ; location of bats roosting in inaccessible sites; non-invasive behavior investigation such as following movement of individuals in the roost; diagnosing infection sites in injured bats; image processing for both graphic presentation and analysis of data.
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results (2017)

The recently proposed Temporal Ensembling has achieved state-of-the-art results in several semi-supervised learning benchmarks. It maintains an exponential moving average of label predictions on each training example, and penalizes predictions that are inconsistent with this target. However, because the targets change only once per epoch, Temporal Ensembling becomes unwieldy when learning large datasets. To overcome this problem, we propose Mean Teacher, a method that averages model weights instead of label predictions. As an additional benefit, Mean Teacher improves test accuracy and enables training with fewer labels than Temporal Ensembling. Without changing the network architecture, Mean Teacher achieves an error rate of 4.35% on SVHN with 250 labels, outperforming Temporal Ensembling trained with 1000 labels. We also show that a good network architecture is crucial to performance. Combining Mean Teacher and Residual Networks, we improve the state of the art on CIFAR-10 with 4000 labels from 10.55% to 6.28%, and on ImageNet 2012 with 10% of the labels from 35.24% to 9.11%.
Detection of rodent parvoviruses by use of fluorogenic nuclease polymerase chain reaction assays. (2001)

Polymerase chain reaction (PCR) assays have proven useful for detection of rodent parvoviruses in animals and contaminated biological materials. Fluorogenic nuclease PCR assays combine PCR with an internal fluorogenic hybridization probe, eliminating post-PCR processing and potentially enhancing specificity. Consequently, three fluorogenic nuclease PCR assays were developed, one that detects all rodent parvoviruses, one that specifically detects minute virus of mice (MVM), and one that specifically detects mouse parvovirus 1 (MPV) and hamster parvovirus (HaPV). When rodent parvoviruses and other rodent DNA viruses were evaluated, the rodent parvovirus assay detected only rodent parvovirus isolates, whereas the MVM and MPV/HaPV assays detected only the MVM or MPV/ HaPV isolates, respectively. Each assay detected the equivalent of 10 or fewer copies of target template, and all fluorogenic nuclease PCR assays exceeded the sensitivities associated with previously reported PCR assays and mouse antibody production testing. In addition, each fluorogenic nuclease PCR assay detected the targeted parvovirus DNA in tissues obtained from mice experimentally infected with MVM or MPV. Results of these studies indicate that fluorogenic nuclease PCR assays provide a potentially high-throughput, PCR-based method to detect rodent parvoviruses in infected mice and contaminated biological materials.