gebhart/patrepeval huggingface dataset:
Integrating bulk piezoelectric materials into MEMS for high authority actuators (2007)

Whilst the work is scientifically correct, there are some unresolved issues relating to the authorship of a section of the paper as currently presented. The named authors intend to further review certain elements with a view to re-publishing the work at a later date. The authors and publisher therefore advise that the paper should not be referenced or used as a basis for future work.
Linear System Identification Based on a Kronecker Product Decomposition (2018)

Linear system identification is a key problem in many important applications, among which echo cancelation is a very challenging one. Due to the long length impulse responses (i.e., echo paths) to be identified, there is always room (and needs) to improve the performance of the echo cancelers, especially in terms of complexity, convergence rate, robustness, and accuracy. In this paper, we propose a new way to address the system identification problem (from the echo cancelation perspective), by exploiting an optimal approximation of the impulse response based on the nearest Kronecker product decomposition. Also, we make a first step toward this direction, by developing an iterative Wiener filter based on this approach. As compared to the conventional Wiener filter, the proposed solution is much more attractive since its gain is twofold. First, the matrices to be inverted (or, preferably, linear systems to be solved) are smaller as compared to the conventional approach. Second, as a consequence, the iterative Wiener filter leads to a good estimate of the impulse response, even when a small amount of data is available for the estimation of the statistics. Simulation results support the theoretical findings and indicate the good results of the proposed approach, for the identification of different network and acoustic impulse responses.
Self-Supervised Methods for Learning Semantic Similarity in Music (2019)

Neural networks have been used to learn a latent "musical space" or "embedding" to encode meaningful features and provide a method of measuring semantic similarity between two musical passages. An ideal embedding is one that both captures features useful for downstream tasks and conforms to a distribution suitable for sampling and meaningful interpolation. We present two new methods for learning musical embeddings that leverage context while simultaneously imposing a shape on the feature space distribution via backpropagation using an adversarial component. We focus on the symbolic domain and target short polyphonic musical units consisting of 40 note sequences. The goal is to project these units into a continuous low dimensional space that has semantic relevance. We evaluate relevance based on the learned features' abilities to complete various musical tasks and show improvement over baseline models including variational autoencoders, adversarial autoencoders, and deep structured semantic models. We use a dataset consisting of classical piano and demonstrate the robustness of our methods across multiple input representations.
A simple method for fabricating submicron lines (1981)

A process for fabricating submicron lines using photolithography and vacuum evaporation is described. In this process, a photoresist layer is deposited and treated to obtain an undercut profile using chlorobenzene. The submicron line is then deposited by direct evaporation onto the photoresist edge. Lines as narrow as 0.06 μm and aspect ratios ranging from 5:1 to 30:1 have been demonstrated. The process offers several advantages such as simple processing, dimensional control, and a broad materials range.
In-situ Polymerization of Thiophene Derivatives Using a Gas-phase Oxidant to Form a Hole-transporting Layer in Dye-sensitized Solar Cell (2014)

Poly(3,4-ethylenedioxythiophene) (PEDOT), for use as a hole-transporting layer in dye-sensitized solar cells (DSSCs), was synthesized via in-situ polymerization using a gas-phase oxidant. Highly volatile iodine was used as the gas-phase oxidant to fill up a porous TiO2 substrate. The conductivity of PEDOT increased to 0.9 S/cm upon the addition of a base, 4-tert-butylpyridine, to the monomer solution. A solid-state DSSC was fabricated using PEDOT as the hole-transporting layer, which displayed photo-electric conversion.
A Substituted Tetrahydro-Tetrazolo-Pyrimidine Is a Specific and Novel Inhibitor of Hepatitis B Virus Surface Antigen Secretion (2007)

The high levels of hepatitis B virus (HBV) surface antigen (HBsAg)-bearing subviral particles in the serum of chronically infected individuals are thought to play a role in suppressing the HBV-specific immune response. Current therapeutics are not directed at reducing this viral antigenemia; thus, our group has focused on identifying inhibitors of HBsAg secretion. By using the HBV-expressing cell line HepG2.2.15, high-throughput screening of an 80,288-compound synthetic small-molecule library identified HBF-0259, an aromatically substituted tetrahydro-tetrazolo-(1, 5-a)-pyrimidine. Following resynthesis, HBF-0259 had a 50% effective concentration of approximately 1.5 microM in a secondary, HBV-expressing cell line, with a concentration that exhibited 50% cytotoxicity of >50 microM. The equilibrium concentration of HBF-0259 in aqueous solution at physiological pH was 15 to 16 microM; the selective index was thus >9. As intended by our screening paradigm, HBF-0259 is a selective, potent inhibitor of secretion of both subviral and DNA-containing viral particles, while the secretion of alpha-1-acid glycoprotein and alpha-1-antitrypsin was unaffected. The HBV e antigen, which is not a constituent of HBV particles, was also unaffected, suggesting that the secretion of particles bearing HBV structural glycoproteins is targeted directly. Inhibitory activity was also confirmed by transfection of HBsAg, indicating that the action of the compound is independent of those of other viral proteins. HBF-0259 had no effect on HBV DNA synthesis, demonstrating that inhibition is independent of viral genomic replication. Finally, HBF-0259 had little or no effect on the cell-to-cell spread of two unrelated viruses, suggesting that it is a specific inhibitor of secretion of HBsAg. Possible mechanisms of action and the implications for its development are discussed.
3GHz, 74mW 2-level Karatsuba 64b Galois field multiplier for public-key encryption acceleration in 45nm CMOS (2010)

A Karatsuba-based 64b Galois field multiplier for on-die acceleration of public-key encryption is fabricated in 1.1V, 45nm CMOS and occupies 0.021mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . 2-level Karatsuba design using interleaved 32b multipliers and folded datapath organization results in single-cycle latency at 3GHz operation with total power consumption of 74mW and 32% area reduction over conventional multipliers, resulting in 3.2x speedup of Diffie-Helman key exchange workloads.
Heat transfer and fluid flow during electron beam welding of 304L stainless steel alloy (2009)

A numerical model for three-dimensional heat transfer and fluid flow in keyhole mode electron beam welding was developed and applied to 304L stainless steel welds made at different power density distributions achieved by varying the focal spot radius at a fixed input power. The model first calculates keyhole geometry based on energy balance on keyhole walls and then solves the three-dimensional temperature field and fluid velocities in the workpiece. Since the energy balance and, consequently, the keyhole penetration are affected by the keyhole wall temperatures, the variation of the keyhole wall temperature with depth has been considered. A modified turbulence model based on Prandtl's mixing length hypothesis was used to calculate the spatially variable effective values of thermal conductivity and viscosity to account for enhanced heat and mass transfer due to turbulence in the weld pool. Unlike models available in literature, the model proposed in this work considers the physical processes like variations of keyhole wall temperatures with depth and the resulting influence on calculation of keyhole depth and fluid velocities along the keyhole wall, and three-dimensional heat and mass transport. Thus, the model can be applied to materials with a range of thermophysical properties. The model was used to study the fluid flow patterns in the weld pool and their effects on the calculated weld geometry. The calculated weld dimensions agreed reasonably well with the measured values. Peclet number calculation showed that convective heat transfer was very significant. The influence of convection was illustrated by comparing the calculated weld pool geometries in the presence and absence of convection. The vapor pressures and wall temperatures in the keyhole increased with increase in the peak power density.
"SR distribution 2" of "A search for pair-produced resonances in four-jet final states at $\sqrt{s}$=13 TeV with the ATLAS detector" (2017)

The observed number of data, background and coloron signal events in each of the signal regions of the inclusive selection
Quantitative Themographic Characterization of Composites (2013)

Thermography has become a widely accepted method for NDT of composite structures. The low thermal effusivity of polymer and ceramic matrix components makes the time scale and signal strength of their response to thermal excitation nearly ideal for thermographic inspection methods. At present, composite NDT applications are primarily qualitative, based on identification of discrete flaws such as delaminations, voids, inclusions or unbonds. Quantification is limited to flaw sizing, and to a lesser extent, measurement of flaw depth or thermal diffusivity. Using the Thermographic Signal Reconstruction (TSR) method to interrogate each pixel time history individually, it is possible to accurately measure flaw size and depth, and also to characterize the thermophysical properties of the constituent layers of a multilayer sample. This type of material characterization task can be performed by quantitative analysis of the logarithmic time derivatives and their attributes, obtained from the TSR analysis. However, a significant amount of information can be inferred from the basic shape characteristics of the derivatives. As an example, we present a set of primitives that represent 2nd derivative responses for various one and two layer material configurations.
Advanced Ultrapure Water Production Technology and Characteristics (1992)

Ultrapure water is used in the final rinse stage of silicon wafer cleaning for ULSI fabrication. Recently, advanced ultrapure water production systems have been developed. They can supply ultrapure water in which any impurities are reduced to an extremely low level. Dissolved oxygen also has been reduced to ppb level for native oxide free processing. Further, Cr2O2 stainless steel piping has been also developed for continuous ozone injection sterilization in ultrapure water systems. In addition, it is becoming possible to develop perfectly controlled ultrapure water technolgies such as ozone-added-ultrapure-water rising for the removal of organic from wafer surfaces and boiling-ultrapure-water treatment for the realization of H-terminated wafer surfaces.
Broadly reactive human CD4 + T cells against Enterobacteriaceae are found in the naïve repertoire and are clonally expanded in the memory repertoire (2020)

Enterobacteriaceae are a large family of Gram-negative bacteria that includes both commensals and opportunistic pathogens. The latter can cause severe nosocomial infections, with outbreaks of multi-antibiotics resistant strains, thus being a major public health threat. In this study, we report that Enterobacteriaceae-reactive memory Th cells were highly enriched in a CCR6<sup>+</sup> CXCR3<sup>+</sup> Th1*/17 cell subset and produced IFN-γ, IL-17A, and IL-22. This T cell subset was severely reduced in septic patients with K. pneumoniae bloodstream infection who also selectively lacked circulating K. pneumonie-reactive T cells. By combining heterologous antigenic stimulation, single cell cloning and TCR Vβ sequencing, we demonstrate that a large fraction of memory Th cell clones was broadly cross-reactive to several Enterobacteriaceae species. These cross-reactive Th cell clones were expanded in vivo and a large fraction of them recognized the conserved outer membrane protein A antigen. Interestingly, Enterobacteriaceae broadly cross-reactive T cells were also prominent among in vitro primed naïve T cells. Collectively, these data point to the existence of immunodominant T cell epitopes shared among different Enterobacteriaceae species and targeted by cross-reactive T cells that are readily found in the pre-immune repertoire and are clonally expanded in the memory repertoire.
Dynamic loss minimizing control of DB-DTFC IM drives using a flux command look ahead filter (2014)

This work investigates the performance of optimal flux trajectory-based induction motor loss minimization methods when applied to typical "servo motion profiles" which require large step changes in torque occurring at high repetition rates. This work proposes a new method of filtering the optimal stator flux command for improved power savings.
Combining learning and evolution to develop high DOF robot control (2008)

This paper describes a method for developing control of high degree-of-freedom (DOF) mobile robots using the seventh generation (7G) system, a software system that incorporates learning, genetic algorithms, and scripting. The control agent is based on a neural network implementing a reinforcement learning process. The network accepts sensor data as input and learns to output control actions. A novel feature of the learning system allows the developer to insert a script as an alternative action output from the neural network learning system. The script significantly reduces the search space for the learning system even if it is sometimes wrong, thereby enabling the learning network to bootstrap toward more effective solutions. An integrated genetic algorithm system modifies parameters of the control agent to evolve the best control agent based on fitness. Fitness is measured by the success of a control agent in learning to control behavior of a simulated model of the robot in selected simulated terrains. An iterative process is described in which the control software is integrated with a simulation model of the robot running in a 3D physics-based simulation system. The method was used to develop control of the OmniTread OT-4, a high DOF serpentine robot.
Expression, purification, crystallization and preliminary X-ray diffraction analysis of the soluble domain of PPA0092, a putative nitrite reductase fromPropionibacterium acnes (2009)

The soluble domain (residues 483-913) of PPA0092, a putative copper-containing nitrite reductase from Propionibacterium acnes KPA171202, has been overexpressed in Escherichia coli. The purified recombinant protein was crystallized using the hanging-drop vapour-diffusion method. X-ray diffraction data were collected and processed to a maximum resolution of 2.4 A. The crystal belonged to space group P2(1)3, with unit-cell parameters a = b = c = 108.63 A. Preliminary diffraction data show that one molecule is present in the asymmetric unit; this corresponds to a V(M) of 2.1 A(3) Da(-1).
Property-specific witness graph generation for guided simulation (2002)

A practical solution to the complexity of design validation is semi-formal verification, where the specification of correctness criteria is done formally, as in model checking, but checking is done using simulation, which is guided by directed vector sequences derived from knowledge of the design and/or the property being checked. Simulation vectors must be effective in targeting the types of bugs designers expect to find rather than some generic coverage metrics. The focus of our work is to generate property-specific testbenches for guided simulation, that are targeted either at proving the correctness of a full CTL property or at finding a bug. This is facilitated by generation of a property-specific model, called a "witness graph", which captures interesting paths in the design. Starting from an initial abstract model of the design, symbolic model checking, pruning, and refinement steps are applied in an iterative manner, until either a conclusive result is obtained or computing resources are exhausted. The witness graph is annotated with, e.g., state or transition priorities before testbench generation. The overall testbench generation flow, and the iterative flow for witness graph generation are shown.
<title>Delamination study of chip-to-chip bonding for a LIGA-based safety and arming system</title> (1999)

The development of a miniature underwater weapon safety and arming system requires reliable chip-to-chip bonding of die that contain microelectromechanical actuators and sensors fabricated using a LIGA MEMS fabrication process. Chip-to- chip bonding is associated for several different bond materials (indium solder, thermoplastic paste, thermoplastic film and epoxy film), and bonding configurations (with an alloy 42 spacer, silicon to ceramic, and silicon to silicon). Metrology using acoustic micro imaging has been developed to determine the fraction of delamination of samples.
Identifying Dogmatism in Social Media: Signals and Models (2016)

We explore linguistic and behavioral features of dogmatism in social media and construct statistical models that can identify dogmatic comments. Our model is based on a corpus of Reddit posts, collected across a diverse set of conversational topics and annotated via paid crowdsourcing. We operationalize key aspects of dogmatism described by existing psychology theories (such as over-confidence), finding they have predictive power. We also find evidence for new signals of dogmatism, such as the tendency of dogmatic posts to refrain from signaling cognitive processes. When we use our predictive model to analyze millions of other Reddit posts, we find evidence that suggests dogmatism is a deeper personality trait, present for dogmatic users across many different domains, and that users who engage on dogmatic comments tend to show increases in dogmatic posts themselves.
Polymerizable Polyelectrolyte−Surfactant Complexes from Monomeric Ammonium Cations and Polystyrenesulfonate (1999)

ADVERTISEMENT RETURN TO ISSUEPREVNoteNEXTPolymerizable Polyelectrolyte−Surfactant Complexes from Monomeric Ammonium Cations and PolystyrenesulfonateMichael Dreja and Werner LennartzView Author Information Institut für Physikalische Chemie der Universität zu Köln, Luxemburger Str. 116, D-50939 Köln, Germany, and II. Physikalisches Institut der Universität zu Köln, Zülpicher Str. 77, D-50937 Köln, Germany Cite this: Macromolecules 1999, 32, 10, 3528–3530Publication Date (Web):April 17, 1999Publication History Received22 January 1999Revised10 March 1999Published online17 April 1999Published inissue 1 May 1999https://pubs.acs.org/doi/10.1021/ma9900941https://doi.org/10.1021/ma9900941brief-reportACS PublicationsCopyright © 1999 American Chemical SocietyRequest reuse permissionsArticle Views241Altmetric-Citations15LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Irradiation,Layers,Monomers,Polymerization,Surfactants Get e-Alerts
Supporting Awareness through Collaborative Brushing and Linking of Tabular Data (2013)

Maintaining an awareness of collaborators' actions is critical during collaborative work, including during collaborative visualization activities. Particularly when collaborators are located at a distance, it is important to know what everyone is working on in order to avoid duplication of effort, share relevant results in a timely manner and build upon each other's results. Can a person's brushing actions provide an indication of their queries and interests in a data set? Can these actions be revealed to a collaborator without substantially disrupting their own independent work? We designed a study to answer these questions in the context of distributed collaborative visualization of tabular data. Participants in our study worked independently to answer questions about a tabular data set, while simultaneously viewing brushing actions of a fictitious collaborator, shown directly within a shared workspace. We compared three methods of presenting the collaborator's actions: brushing & linking (i.e. highlighting exactly what the collaborator would see), selection (i.e. showing only a selected item), and persistent selection (i.e. showing only selected items but having them persist for some time). Our results demonstrated that persistent selection enabled some awareness of the collaborator's activities while causing minimal interference with independent work. Other techniques were less effective at providing awareness, and brushing & linking caused substantial interference. These findings suggest promise for the idea of exploiting natural brushing actions to provide awareness in collaborative work.
Impaired Revascularization in a Mouse Model of Type 2 Diabetes Is Associated With Dysregulation of a Complex Angiogenic-Regulatory Network (2005)

These data illustrate that impaired ischemia-induced neovascularization in type 2 diabetes is associated with the dysregulation of a complex angiogenesis-regulatory network.
Constitutive Modeling of Anisotropic Finite-Deformation Hyperelastic Behaviors of Soft Materials Reinforced by Tortuous Fibers. (2010)

Many biological materials are composites composed of a soft matrix reinforced with stiffer fibers. These stiffer fibers may have a tortuous shape and wind through the soft matrix. At small material deformation, these fibers deform in a bending mode and contribute little to the material stiffness; at large material deformation, these fibers deform in a stretching mode and induce a stiffening effect in the material behavior. The transition from bending mode deformation to stretching mode deformation yields a characteristic J-shape stress-strain curve. In addition, the spatial distribution of these fibers may render the composite an anisotropic behavior. In this paper, we present an anisotropic finite-deformation hyperelastic constitutive model for such materials. Here, the matrix is modeled as an isotropic neo-Hookean material. "The behaviors of single tortuous fiber are represented by a crimped fiber model". The anisotropic behavior is introduced by a structure tensor representing the effective orientation distribution of crimped fibers. Parametric studies show the effect of fiber tortuosity and fiber orientation distribution on the overall stress-strain behaviors of the materials.