gebhart/patrepeval huggingface dataset:
Online Graph-Adaptive Learning With Scalability and Privacy (2019)

Graphs are widely adopted for modeling complex systems, including financial, biological, and social networks. Nodes in networks usually entail attributes, such as the age or gender of users in a social network. However, real-world networks can have very large size, and nodal attributes can be unavailable to a number of nodes, e.g., due to privacy concerns. Moreover, new nodes can emerge over time, which can necessitate real-time evaluation of their nodal attributes. In this context, this paper deals with scalable learning of nodal attributes by estimating a nodal function based on noisy observations at a subset of nodes. A multikernel-based approach is developed, which is scalable to large-size networks. Unlike most existing methods that re-solve the function estimation problem over all existing nodes whenever a new node joins the network, the novel method is capable of providing real-time evaluation of the function values on newly joining nodes without resorting to a batch solver. Interestingly, the novel scheme only relies on an encrypted version of each node's connectivity in order to learn the nodal attributes, which promotes privacy. Experiments on both synthetic and real datasets corroborate the effectiveness of the proposed methods.
Virtual Antenna Array Methodology for Outdoor Millimeter-Wave Channel Measurements (2016)

The development of new outdoor millimeter-wave channel models requires processing of the experimental data which can be used to estimate multipath channel parameters with very high time and angular resolution. The virtual antenna arrays processing technique allows joint narrow beam forming and beam steering. The specific of outdoor experiment does not allow precise positioning of the antennas, like it possible under labconditions. So some special methodology should be developed to overcome this problem. In this paper we propose the virtual antenna array signal processing which allows for given experimental data to perform environment scanning with equivalent 1° antenna beamwidth and -30dB sidelobes rejection. As a result, the measurement environment was accurately reconstructed on the base of measurement data. High angular resolution of the proposed virtual antenna array signal processing allows estimating the wall-reflected rays (channel clusters) power-angular spectrum parameters for a Laplacian model.
Graded SiGe-Channel Modulation-Doped p-Mosfets (1991)

Bandgap engineering has been applied to the design and fabrication of graded SiGe-channel modulation-doped p-MOSFETs. The Ge in the channel was graded to control the location of carrier flow and hence optimize the transconductance.
Electric Double-Layer Gating of Two-Dimensional Field-Effect Transistors Using a Single-Ion Conductor (2019)

Electric double-layer (EDL) gating using a custom-synthesized polyester single-ion conductor (PE400-Li) is demonstrated on two-dimensional (2D) crystals for the first time. The electronic properties of graphene and MoTe<sub>2</sub> field-effect transistors (FETs) gated with the single-ion conductor are directly compared to a poly(ethylene oxide) dual-ion conductor (PEO:CsClO<sub>4</sub>). The anions in the single-ion conductor are covalently bound to the backbone of the polymer, leaving only the cations free to form an EDL at the negative electrode and a corresponding cationic depletion layer at the positive electrode. Because the cations are mobile in both the single- and dual-ion conductors, a similar enhancement of the n-branch is observed in both graphene and MoTe<sub>2</sub>. Specifically, the single-ion conductor decreases the subthreshold swing in the n-branch of the bare MoTe<sub>2</sub> FET from 5000 to 250 mV/dec and increases the current density and on/off ratio by two orders of magnitude. However, the single-ion conductor suppressed the p-branch in both the graphene and the MoTe<sub>2</sub> FETs, and finite element modeling of ion transport shows that this result is unique to single-ion conductor gating in combination with an asymmetric gate/channel geometry. Both the experiments and modeling suggest that single-ion conductor-gated FETs can achieve sheet densities up to 10<sup>14</sup> cm<sup>-2</sup>, which corresponds to a charge density that would theoretically be sufficient to induce several percent strain in monolayer 2D crystals and potentially induce a semiconductor-to-metal phase transition in MoTe<sub>2</sub>.
La gripe aviar ¿Una nueva amenaza pandémica? (2007)

Agradezco a Carlos Martínez por su invitación y su estímulo para la redacción de este documento y a todos los que han contribuido con su esfuerzo y dedicación a su&#13;\nescritura y publicación. Mi reconocimiento especial a los co-autores que no son&#13;\nmiembros del CSIC por su disponibilidad y sus importantes aportaciones, así como&#13;\nal personal de la Estación Biológica de Doñana por las fotografías que han&#13;\ncontribuido a la ilustración de esta obra.
An FPGA-Based Region-Growing Video Segmentation System with Boundary-Scan-Only LSI Architecture (2006)

This paper presents a boundary-scan-only (BSO) video segmentation architecture and its FPGA-based prototype system for 80 times 60 video images (30 fps). In the proposed BSO architecture, an input image is divided into a number of small image blocks. Then only image blocks, that have boundary pixels in the currently grown region, are processed with a block-sized pixel-parallel processing unit. This enables large-sized video segmentation with the compact processing unit, so that FPGA-based real-time video segmentation can be realized. We have developed an evaluation system for 80 times 60 real-time image segmentation with a standard FPGA device in 130 nm CMOS technology, and also evaluated its performance with video images. From this FPGA implementation result, QVGA-sized real-time image segmentation is expected to become possible with a state-of-the-art FPGA device in 90nm CMOS technology
3D Analytical Model for a Tubular Linear Induction Generator in a Stirling cogeneration system (2007)

This article sets forth a 3D analytical model of a tubular linear induction generator. In the intended application, the slot and edge effects as well as induced current penetration phenomena within the solid mover cannot be overlooked. Moreover, generator optimization within the present context of cogeneration has necessitated a systemic strategy. Reliance upon an analytical modeling approach that incorporates the array of typically-neglected phenomena has proven essential to offering greater computational and analytical flexibility. This article will describe the electromagnetic model of the generator and draw comparisons with a finite element model, in addition to identifying the elements of equivalent electrical diagram and displaying results from the multi-objective optimization study performed using a genetic algorithm.
2D Lattice Extraction from Structured Environments (2007)

In this paper we investigate the problem of automatically detecting 2D grid structures such as windows on building facades from images taken in urban settings. The key assumption that the background is strongly structured allows searching for near-regular textures in the image. We describe a probabilistic framework using Markov Random Field modeling and Markov Chain Monte Carlo (MCMC) optimization to explicitly recognize and group rectangular structures that appear in a grid-like pattern. Results on a variety of images of building facades are shown.
Simultaneous Monitoring of CD, DGD and OSNR from FIR Filter Coefficients in Coherent Receivers (2008)

We simultaneously estimate the values of residual CD, DGD and OSNR from FIR filter coefficients in coherent receivers with digital equalization. Precise estimations over a wide range are demonstrated on measured 111Gbit/s CP-QPSK data with off-line processing on a PC.
Synthesis and Evaluation of N-Phenyl-3-sulfamoyl-benzamide Derivatives as Capsid Assembly Modulators Inhibiting Hepatitis B Virus (HBV) (2018)

Small molecule induced hepatitis B virus (HBV) capsid assembly modulation is considered an attractive approach for new antiviral therapies against HBV. Here we describe efforts toward the discovery of a HBV capsid assembly modulator in a hit-to-lead optimization, resulting in JNJ-632, a tool compound used to further profile the mode of action. Administration of JNJ-632 (54) in HBV genotype D infected chimeric mice resulted in a 2.77 log reduction of the HBV DNA viral load.
Maximizing Profit Using Benders Decomposition in Two-Stage Stochastic Water Distribution Network (2022)

Profit is the primary intention that drives any industry. It is essential to incorporate the demand uncertainty in the water distribution industry to ensure maximum profit. This paper deals with the development of a two stage stochastic approach methodology. Initially a general two stage stochastic model is developed further a model based on Benders Decomposition is developed and the results are compared. The objective of the proposed method is to calculate the maximum profit that can be achieved by satisfying the varying demands of a site using water sources. The initial model is to formulate a two-stage stochastic deterministic equivalent model. Before the reality of the uncertain data is clear, a decision must be made in the first stage. The first stage's optimal solution is fixed, and only then can the values of the uncertain parameters be determined. The second method applies a simple benders' decomposition to the two-stage stochastic framework. Benders decomposition is a technique that helps in solving huge linear programming problems. This paper develops this method to simultaneously optimize the first set of variables (amount of water to be produced and transported) and second stage variables (Supply and Waste). The model is broken into a master problem and multiple subproblems. The solutions to these subproblems define the constraints of the master problem. The master problem is solved again and again until convergence. Both methodologies are illustrated with an example case study, and the results are compared. Benders Decomposition method took 50 iterations to converge and gave a profit value of $18,037.75. The deterministic equivalent model took 26 iterations to give the same value of profit.
Formally Deprecating Some IPv4 Options (2012)

A number of IPv4 options have become obsolete in practice, but have
never been formally deprecated. This document deprecates such IPv4
options, thus cleaning up the corresponding IANA registry.
Additionally, it obsoletes RFCs 1385, 1393, 1475, and 1770, and
requests that the RFC Editor change their status to Historic.
[STANDARDS-TRACK]
Supplemental Figure 2 from Expression of CD14, IL10, and Tolerogenic Signature in Dendritic Cells Inversely Correlate with Clinical and Immunologic Response to TARP Vaccination in Prostate Cancer Patients (2023)

&lt;p&gt;Response Predictive Ability of secreted IL-12/IL-10 ratio&lt;/p&gt;
Visual speech understanding using independent component analysis (2007)

The purpose of this work is to enhance the performance of visual speech recognition by using independent component analysis (ICA) in order to extract statistically independent visual features. In the first place, we derive the optical flow fields for consecutive frames of people speaking. Then, we use ICA in order to derive the basis images for these optical flow fields. The coefficients of these basis flow fields will comprise the visual features of interest. We will show that using ICA on optical flow fields yields better classification results than the traditional approaches based on principal component analysis (PCA) for instance. Our approach is evaluated for the Tulipsi database and compared to the standard approaches.
Enhanced Molecular Doping for High Conductivity in Polymers with Volume Freed for Dopants (2019)

We present two new polythiophene isomers, PQTC16-TT and PQTSC16-TT, with more separation and lower side chain density on the backbone compared with the typical polythiophenes, such as PQT(S)12 and PBTTT(S)12. The introduction of spacer subunits to separate the side chains improves the accommodation of dopant molecules close to the polymer backbone. Therefore, the lamellar structure and π–π stacking of polymers were negligibly disturbed by dopants; in fact, improved ordering and closer π-stacking were observed after chemical doping. Furthermore, the doping efficiency is significantly enhanced and the electrical conductivity is improved up to 330 S cm–1, still maintained at 200 S cm–1 at higher doping concentration, for the combination of PQTSC16-TT/NOBF4. We investigate how charge transfer is affected by the geometry of the dopant with respect to the polymer repeat unit. It is shown that the sulfurs in the side chains act as binding sites for dopants, resulting in higher thermal and environmental stability of alkylthio-substituted polymers upon doping.
Introducing the IEEE Biometrics Compendium: Insight into the current issue (2014)

IEEE biometrics compendium is the first IEEE virtual journal, which is a collection of previously published IEEE papers in specific scientific and technical disciplines paired with value-added commentary from technology experts. The compendium is published quarterly by the IEEE Biometrics Council, which was originally created and sponsored by a consortium of IEEE Societies. The IEEE Consumer Electronics Society was one of the founding members/sponsors of the Council. The compendium highlights various specific areas in biometrics and contains commentary from subject experts on the IEEE Biometrics Council. Subscribers receive access to full-text pdf files of all articles referenced from the current and past years. The compendium is an excellent resource to find all biometrics-related research publications in a single place.
Preferential V beta gene usage and lack of junctional sequence conservation among human T cell receptors specific for a tetanus toxin-derived peptide: evidence for a dominant role of a germline-encoded V region in antigen/major histocompatibility complex recognition. (1992)

To investigate the structural and genetic basis of the T cell response to defined peptide/major histocompatibility (MHC) class II complexes in humans, we established a large panel of T cell clones (61) from donors of different HLA-DR haplotypes and reactive with a tetanus toxin-derived peptide (tt830-844) recognized in association with most DR molecules (universal peptide). By using a bacterial enterotoxin-based proliferation assay and cDNA sequencing, we found preferential use of a particular V beta region gene segment, V beta 2.1, in three of the individuals studied (64%, n = 58), irrespective of whether the peptide was presented by the DR6wcI, DR4w4, or DRw11.1 and DRw11.2 alleles, demonstrating that shared MHC class II antigens are not required for shared V beta gene use by T cell receptors (TCRs) specific for this peptide. V alpha gene use was more heterogeneous, with at least seven different V alpha segments derived from five distinct families encoding alpha chains able to pair with V beta 2.1 chains to form a tt830-844/DR-specific binding site. Several cases were found of clones restricted to different DR alleles that expressed identical V beta and (or very closely related) V alpha gene segments and that differed only in their junctional sequences. Thus, changes in the putative complementary determining region 3 (CDR3) of the TCR may, in certain cases, alter MHC specificity and maintain peptide reactivity. Finally, in contrast to what has been observed in other defined peptide/MHC systems, a striking heterogeneity was found in the junctional regions of both alpha and beta chains, even for TCRs with identical V alpha and/or V beta gene segments and the same restriction. Among 14 anti-tt830-844 clones using the V beta 2.1 gene segment, 14 unique V beta-D-J beta junctions were found, with no evident conservation in length and/or amino acid composition. One interpretation for this apparent lack of coselection of specific junctional sequences in the context of a common V element, V beta 2.1, is that this V region plays a dominant role in the recognition of the tt830-844/DR complex.
Visions for dynamic network scenarios in ubiquitous environments (2005)

Traditionally, mobile networks consist of mobile terminals connecting to a fixed access network. From the access network, other networks, including the Internet, can be reached. This simple, hierarchical structure is however disappearing. New kinds of mobile networks, e.g. personal area networks, body area networks, home networks, vehicular networks and sensor networks, are currently being investigated. Most of these networks are ad-hoc networks, or even moving ad-hoc networks. What is more, they are expected to dynamically interconnect themselves and then connect to access networks that themselves dynamically attach to other access networks and core networks.The realization of these future dynamic network scenarios requires augmentation and extension of available technology. For example, heterogeneous access technologies and interworking of different protocols must be supported. Furthermore, the effort for running and maintaining these networks should be kept low, such that - despite the increasing complexity of the overall system - auto-configuration and, above all, simplicity must be considered. The panelists will discuss the research issues that must be addressed to realize this vision. Should we just concentrate on fixes and add-ons to existing systems and procedures, and if yes, what functionality must be supported and how? Do we indeed need to re-invent basic communication paradigms such as the IP protocol, and if yes, what features should be supported by its successor? Is the vision of dynamic internetworking at all realistic, or will future mobile networks, for simplicity's sake, in the end only interwork under well-defined, static conditions.
Memory efficient recognition of specific objects with local features (2008)

Balancing the recognition rate, processing time and memory requirement is an important issue for object recognition based on local features. For the task of recognizing not generic but specific objects (object instances), a larger number of local features enable us to improve the recognition rate but pose a problem of processing time and memory requirement. For the problem of processing time, approximate nearest neighbor search is known to be extremely effective. In this paper, we propose a method of memory reduction by applying scalar quantization to local features. From experimental results on 100,000 images, we have found that the scalar quantization is of great help; As compared to the original representation with 16 bit/dimension, the recognition rate of 98.1 % was kept unchanged using the representation with 2 bit/dim.
Video Coding Unit (VCU) : Hot Chips 2021 (2021)

Video: top contributor to Internet traffic Video is >60% of the global Internet traffic – growth accelerated by Covid Resolutions & frame rates growing Complexity of the compression formats growing
Behavior of a surface phase transition in freely suspended liquid-crystal films (1995)

The smectic-A--smectic-C transition at the free surface of freely suspended liquid-crystal films with thicknesses between three and several hundred smectic layers has been studied by ellipsometry. The results indicate that the temperature dependence of the tilt angle near the surface transition is influenced by the film thickness even in the range up to \ensuremath{\approxeq}100 layers and that not only the first smectic layer at the surface is involved in the transition. In films of medium thickness (between 30 and 100 layers) a splitting of the transition into two steps is observed which probably does not correspond to the layer-by-layer behavior observed frequently for other liquid-crystal phase transitions.
723: Chemokine Receptor CXCR4 Mediates Migration and Invasion of Bladder Cancer Cells (2004)

You have accessJournal of UrologyDiscussed Poster, Monday, May 10, 2004, 8:00 am - 12:00 pm1 Apr 2004723: Chemokine Receptor CXCR4 Mediates Migration and Invasion of Bladder Cancer Cells Margitta Retz, Sukhvinder S. Sidhu, Gregory M. Dolganov, Jan Lehmann, Peter R. Carroll, and Carol Basbaum Margitta RetzMargitta Retz More articles by this author , Sukhvinder S. SidhuSukhvinder S. Sidhu More articles by this author , Gregory M. DolganovGregory M. Dolganov More articles by this author , Jan LehmannJan Lehmann More articles by this author , Peter R. CarrollPeter R. Carroll More articles by this author , and Carol BasbaumCarol Basbaum More articles by this author View All Author Informationhttps://doi.org/10.1016/S0022-5347(18)37972-2AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "723: Chemokine Receptor CXCR4 Mediates Migration and Invasion of Bladder Cancer Cells." The Journal of Urology, 171(4S), p. 192 © 2016 by American Urological AssociationFiguresReferencesRelatedDetails Volume 171Issue 4SApril 2004Page: 192 Advertisement Copyright & Permissions© 2016 by American Urological AssociationMetricsAuthor Information Margitta Retz More articles by this author Sukhvinder S. Sidhu More articles by this author Gregory M. Dolganov More articles by this author Jan Lehmann More articles by this author Peter R. Carroll More articles by this author Carol Basbaum More articles by this author Expand All Advertisement PDF DownloadLoading ...
Energy-Efficient Hybrid Symbol-Level Precoding for Large-Scale mmWave Multiuser MIMO Systems (2021)

We address the symbol-level precoding design problem for the downlink of a multiuser millimeter wave (mmWave) multiple-input multiple-output (MIMO) wireless system where the transmitter is equipped with a large-scale antenna array. The high cost and power consumption associated with the massive use of radio frequency (RF) chains prohibit fully-digital implementation of the precoder, and therefore, we consider a hybrid analog-digital architecture where a small-sized baseband precoder is followed by two successive networks of analog on-off switches and variable phase shifters according to a fully-connected structure. We jointly optimize the digital baseband precoder and the states of the switching network on a symbol-level basis, i.e., by exploiting both the channel state information (CSI) and the instantaneous data symbols, whereas the phase-shifting network is designed only based on the CSI due to practical considerations. Our approach to this joint optimization is to minimize the Euclidean distance between the optimal fully-digital and the hybrid symbol-level precoders. Remarkably, the use of a switching network allows for power-savings in the analog precoder by switching some of the phase shifters off according to the instantaneously optimized states of the switches. Our numerical results indicate that, on average, up to 50 percent of the phase shifters can be switched off. We provide an analysis of energy efficiency by adopting appropriate power dissipation models for the analog precoder, where it is shown that the energy efficiency of precoding can substantially be improved thanks to the phase shifter selection approach, compared to the fully-digital and the state-of-the-art hybrid symbol-level schemes.
Theoretical simulation of DC and RF performance for AlInN/InGaN/AlInN double-heterojunction FET using a Monte Carlo approach (2008)

A theoretical prediction of beyond-THz frequency operation is demonstrated for a III-nitride heterojunction FET with a gate length of sub-100nm. The calculation is based upon an ensemble Monte Carlo simulation coupled with a 2D Poisson equation. The simulation results suggest that a current gain cutoff frequency of more than 1THz is achieved by an AlInN/InN/AlInN or AlInN/InGaN/AlInN double-heterojunction FET with a gate length of less than 50nm or 30nm, respectively, which are fabricated on a non-polar GaN substrate. The importance of high-mobility InN and InGaN used as a channel material for high-speed and high-frequency applications is numerically verified.