gebhart/patrepeval huggingface dataset:
New Mathematical approaches in Electrocardiography Imaging inverse problem (2015)

Improve ECGI inverse problem reconstruction Introduce new mathematical approches to the field of the ECGI inverse problem Compare the performance of the new mathematical approaches to the state-of-the-art methods, mainly the MFS method used in commercial devices. In silico validation of the new approches. Assessment of some simplification hypothesis: Torso inhomogeneity Propose some uncertainty quantification apronches to deal with measurements errors Context and objectives Optimal control approach Mathematical model In silico gold standard Results Torso Heterogeneity effect Conclusions Forward model If we know the heart potential we can compute the electrical potential Inverse problem If we know the electrical potential and the current density at the outer boundary of the torso and we look for the electrical potential at the heart surface Computational heart and torso anatomical models + electrodes position Computational torso meshes: 250 nodes mesh (blue). More accurate FE mesh with 6400 nodes (green) Remarks Introducing the torso heterogeneity is natural with FEM. also anisotropy could be introduced The error is more important in the left ventricle Main results and perspectives New mathematical approches for solving the inverse problem in electrocardiography imaging based on optimal control Over all the 20 cases used in this study the optimal control method performs better than the MFS both in terms of relative error and correlation coefficient: Acknowledgment: This work was partially supported by an ANR grant part of "Investissements d'Avenir" program with reference ANR-10-IAHU-04. It is also supported by the LIRIMA international lab thought the EPICARD team
High Performances Diffraction Gratings for Scientific Applications (2012)

High performances diffraction gratings are usually key components for many scientific applications. Diffraction gratings are used in scientific studies to analyze, measure, propagate or tailor the light sources issued from nature, laser radiation or synchrotron radiation. The three main scientific applications we present are based on three different grating types: Laser Pulse Compression Gratings, Space Flight Gratings and XUV Synchrotron Gratings. These high performances diffraction gratings for scientific applications are designed and manufactured by HORIBA Jobin Yvon SAS (HJY part of HORIBA Scientific) at Longjumeau (France) in the Optical Components Division.
RTP usage with Layered Multimedia Streams (1998)

This draft describes how one should make use of RTP (rfc1889) when
employing layered media streams. This document is meant for
implementors of internet multimedia applications that want to use RTP
and layered media streams.
Regularized Neural Detection for Millimeter Wave Massive Mimo Communication Systems with One-Bit Adcs (2023)

Multi-user massive MIMO signal detection from one-bit received measurements strongly depends on the wireless channel. To this end, majority of the model and learning-based approaches address detector design for the rich-scattering, homogeneous Rayleigh fading channel. Our work proposes detection for one-bit massive MIMO for the lower diversity mmWave channel. We analyze the limitations of the current state-of-the-art gradient descent (GD)-based joint multiuser detection of one-bit received signals for the mmWave channels. Addressing these, we introduce a new framework to ensure equitable per-user performance, in spite of joint multi-user detection. This is realized by means of: (i) a parametric deep learning system, i.e., the mmW-ROBNet, (ii) a constellation-aware loss function, and (iii) a hierarchical detection training strategy. The experimental results corroborate this proposed approach for equitable per-user detection.
Preliminary Evaluation of a Unique Freezing Technology for Bovine Spermatozoa Cryopreservation (2005)

Artificial insemination (AI) and semen cryopreservation has significantly improved the breeding potential of male animals. However, current freezing techniques commonly result in reduced semen quality. Ten years ago, a unique freezing technology (UFT) was developed for the freezing of foodstuffs and other materials. Previous work from this laboratory has demonstrated the UFT to be a superior method of freezing for a number of cell types. In a preliminary study, the UFT was compared with the conventional freezing methodology of bovine semen. Semen samples were collected from an angus (Bull A) and a gelbivich bull (Bull B), prepared using a conventional bovine cryoprotectant, and frozen in the UFT or in liquid nitrogen (LN) mist. The samples were stored in LN before being thawed and assessed for the semen parameters of motility and forward progression. Preliminary results suggest the UFT is equivalent to current techniques in the cryopreservation and recovery of bovine semen, and with modification, possibly a superior technique for semen freezing. Further studies using larger sample populations, and using a CASA system to evaluate motility, forward progression and linearity are merited.
Flexible Inorganic Self-Powered Electronic Systems (2013)

This seminar introduces three recent progresses that can extend the application of high performance flexible inorganic electronics. The first part will introduce two separate procedures suitable for generating and printing a lead-free BaTiO3 based thin film nanogenerator and nanocomposite generator on plastic substrates. Energy harvesting technologies converting external sources (such as vibration and biomechanical energy from the nature sources of wind, waves or human movements) into electrical energy is recently a highly demanding issue in the materials science community for implantable biomedical devices and sustainable green environments. First, the high performance flexible thin film nanogenerator was fabricated by transferring the BaTiO3 thin film from bulk substrates. Second, we report the nanocomposite generator (NCG) for achieving a simple, low-cost, and large area fabrication based on BaTiO3 nanoparticles and graphitic carbons (CNT or RGO).
Fronthaul Compression and Precoding Optimization for NOMA-Based Joint Transmission of Broadcast and Unicast Services in C-RAN (2020)

This paper tackles a non-orthogonal multiplexing (NOM)-based realization of broadcast-unicast overlay transmission in cloud-radio access networks (C-RANs). In particular, fronthaul compression and precoding are jointly optimized to maximize the throughput in the considered network. The problem further optimizing the power allocation between broadcast and unicast signals is addressed as well. The algorithmic solutions are obtained by means of majorization minimization (MM)-type difference-of-convex (DC) programming. Moreover, the proposed solutions are further extended to cope with the uncertainty of channel state information (CSI) to enable robust transmission. Computer simulations are performed to verify that the proposed scheme attains substantial achievable rate gain over the conventional decentralized precoding in entire parameter regions considered.
Impact modification of hybrid polypropylene composites with poly(vinyl alcohol) fibers (2021)

Polypropylene (PP) hybrid composites were prepared by the combination of three reinforcing (carbon, glass, and wood) and a synthetic (PVA) fiber. Tensile and impact testing, acoustic emission measurements, and scanning electron microscopy (SEM) were used for the characterization of the composites as well as to follow deformation and failure processes. The results obtained prove that the novel concept of using synthetic fibers for impact modification can be applied successfully also with PVA fibers. The extent of improvement in impact strength depends on fiber type and content, but also on interfacial adhesion which strongly influences the local deformation processes occurring around the fibers during fracture. Both the reinforcing and the synthetic fibers take part in these processes and contribute to energy consumption. Debonding and the subsequent plastic deformation of the matrix consumes energy the most efficiently, but the fracture of the PVA fibers also requires energy; thus, PVA fibers improve impact resistance both at poor and good adhesion. This approach allows the design of materials for structural applications; the combination of a stiffness of 4–6 GPa and an impact resistance of 20–25 kJ/m 2 exceeds the properties of most PP composites available on the market.
Graph Signatures for Visual Analytics (2006)

We present a visual analytics technique to explore graphs using the concept of a data signature. A data signature, in our context, is a multidimensional vector that captures the local topology information surrounding each graph node. Signature vectors extracted from a graph are projected onto a low-dimensional scatterplot through the use of scaling. The resultant scatterplot, which reflects the similarities of the vectors, allows analysts to examine the graph structures and their corresponding real-life interpretations through repeated use of brushing and linking between the two visualizations. The interpretation of the graph structures is based on the outcomes of multiple participatory analysis sessions with intelligence analysts conducted by the authors at the Pacific Northwest National Laboratory. The paper first uses three public domain data sets with either well-known or obvious features to explain the rationale of our design and illustrate its results. More advanced examples are then used in a customized usability study to evaluate the effectiveness and efficiency of our approach. The study results reveal not only the limitations and weaknesses of the traditional approach based solely on graph visualization, but also the advantages and strengths of our signature-guided approach presented in the paper.
CD26 enzymatic activity modulates efficient migration of adoptively transferred cancer-specific T cells to solid tumors (2020)

Abstract The restricted ability of adoptively transferred T cells to eradicate solid tumors limits their use in some patients. Efforts to improve ACT for solid tumors aim to identify strategies that poise T cells for migration. We have previously identified a specific subset of CD4 T cells which express high levels of the ubiquitous ectoenzyme dipeptidyl peptidase-4 (DPP-4), also known as CD26, that produce a tremendous antitumor response in solid tumors. We therefore sought to investigate the functional importance of CD26 on T cells destined for ACT. We transferred tumor specific CD26+ T cells into melanoma-bearing CD26−/− mice and blocked the CD26 enzymatic activity of the donor cells in vivo with sitagliptin, an established competitive inhibitor of CD26. Sitagliptin-treated mice eventually succumbed to tumor burden, while tumors in untreated mice were ablated, eliciting long-term cures exceeding 4 months. Additional analysis determined that tumor infiltrating donor and host T cells diminished with sitagliptin treatment. A 32-plex cytokine array of peripheral blood plasma from these mice revealed a global diminishment of cytokines and chemokines, signifying that the inflammatory response of the T cells was dampened with sitagliptin treatment. Further experiments examined how CD26+ T cells responded to tumor trafficking signals using a transwell migration assay and found that sitagliptin treatment significantly impaired their migratory capacity. However, sitagliptin did not impair the ability of T cells to mount a functional response to tumor antigen. These data reveal that the enzymatic activity of CD26 is important for the ability of T cells to migrate to malignant sites and supports an effective antitumor response.
Retrospective Review of Positron Emission Tomography With Contrast-Enhanced Computed Tomography in the Posttreatment Setting in Human Papillomavirus–Associated Oropharyngeal Carcinoma (2012)

Positron emission tomography combined with contrast-enhanced CT has a better NPV than either imaging modality alone in patients with HPV-associated oropharyngeal SCC. Furthermore, PET/CT with an SUV threshold of 2 used in patients with HPV-related SCC offers an imaging modality with a high NPV that may obviate the need for unnecessary neck dissections.
Dynamic analysis and simulation of driveability and control of a double transition shifting system (2009)

"Double Transition Shift" refers to the shift process in a special structured automatic transmission which employs more than one pair of clutches and brakes to perform a gear shift. Since more elements are involved during the shift process, the double transition shift algorithm is much more complicated than the traditional gearbox. Therefore, the development of the control strategy to accomplish the optimal driveability becomes a challenge for automotive control engineers. In this paper, a patented double transition transmission is studied for shifting process using a dynamic analysis and driveability control algorithm simulation. A dynamic model is developed based on multi-body dynamics theory in which all elements interactions with varies motion states and forces are considered. A simulation model of the whole vehicle and the transmission is established. Based on the parametric study, the control strategy is proposed and a well behaved driveability during the double transition shift process is achieved.
Energy Transfer Sensitization of Luminescent Gold Nanoclusters: More than Just the Classical Förster Mechanism (2016)

Luminescent gold nanocrystals (AuNCs) are a recently-developed material with potential optic, electronic and biological applications. They also demonstrate energy transfer (ET) acceptor/sensitization properties which have been ascribed to Förster resonance energy transfer (FRET) and, to a lesser extent, nanosurface energy transfer (NSET). Here, we investigate AuNC acceptor interactions with three structurally/functionally-distinct donor classes including organic dyes, metal chelates and semiconductor quantum dots (QDs). Donor quenching was observed for every donor-acceptor pair although AuNC sensitization was only observed from metal-chelates and QDs. FRET theory dramatically underestimated the observed energy transfer while NSET-based damping models provided better fits but could not reproduce the experimental data. We consider additional factors including AuNC magnetic dipoles, density of excited-states, dephasing time, and enhanced intersystem crossing that can also influence ET. Cumulatively, data suggests that AuNC sensitization is not by classical FRET or NSET and we provide a simplified distance-independent ET model to fit such experimental data.
Fundamental Measurements of Multicomponent Turbulent Spray Mixing in Transcritical and Supercritical Conditions (2005)

LOX-GH2 injection and mixing are of major importance for the thermodynamic processes taking place in a rocket engine yet detailed knowledge of high pressure behavior of injectants is still lacking. Accurate modeling of LOX in very high pressure environment is hampered by the limited available information or measurements of the behavior of turbulent mixing and spray formation in transcritical and supercritical regimes, in particular when additional species are present. The study described below is a combined theoretical-experimental program at Georgia Technological Institute (GT) and the University of Florida (UF) to evaluate liquid jet break-up and mixing under conditions ranging from sub- to trans- and supercritical regime. The purpose of this study is to complement and expand the existing database. Due to safety limitations in the laboratory environment the liquid oxygen/gaseous hydrogen (LOX-GH2) system is substituted by other liquid/gas mixing combinations under properly scaled conditions. High pressure devices are implemented at both UF and GT and different diagnostic methods are under development for application to the study jet breakup and fuel-air mixing from subcritical to supercritical conditions. A co-axial single injector setup is used in both facilities for parallel studies. The scale of the devices ensures injection conditions that capture the important physical processes encountered in a rocket engine. A new technique, simultaneous fluorescence and phosphorescence measurements of ketones, is being used at GT to study mixing characteristics of coaxial jet injectors across the range of subcritical to supercritical conditions. The method includes a new approach to characterize critical spray behavior via phosphorescence quenching by oxygen diffusion. Before quantitative measurements can be obtained with this new technique, however, it must be characterized across the range of pressures and temperatures that encompass the subcritical and transcritical regime. In parallel, an exciplex method is developed at UF to simultaneously detect both liquid and mixed phases for suitable mixtures from subcritical to supercritical conditions. The two approaches are used in a complementary fashion and are closely couple with a computational modeling study based on the LES capability developed at GT. This paper describes the status of these experimental studies.
Supplementary Figure Legend from EMD 1214063 and EMD 1204831 Constitute a New Class of Potent and Highly Selective c-Met Inhibitors (2023)

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Phase Stability of Zirconia and Alumina/Zirconia Composite Heads against UHMWPE Liners in a Temperature-Controlled Hip Simulation Study (2005)

This study evaluated the wear performance of cobalt-chromium, zirconia and alumina/zirconia composite heads against moderately crosslinked ultra-high-molecular-weight polyethylene liners under different temperature conditions. A temperature control unit was utilized to allow direct cooling/heating the head components at 4, 20, 37 and 45 °C in addition to the conventional no temperature control method. Results showed that the polyethylene wear was affected by the coolant temperature. The CoCrMo and the alumina/zirconia groups had similar wear rate without temperature control, however, the CoCrMo group generated 50% more wear than the alumina/zirconia group did when the coolant temperatures were above 20 °C. The zirconia group had the lowest wear rate of the three groups in all temperature conditions. The monoclinic phase content of the zirconia heads were about 0.2 M% before the test and 6.0 M% after the test, while the X-ray diffraction remained similar before and after the test in alumina/zirconia composite heads. The current study was able to reproduce the phase transformation of zirconia ceramics as reported in some clinical retrieval reports. A temperature control feature is recommended in a wear study in order to better simulate implant wear performance under the physiological condition in human body.
Invited Article: Division and multiplication of the state order for data-carrying orbital angular momentum beams (2016)

We demonstrate all-optical division and multiplication of the state order ℓ for data-carrying orbital angular momentum (OAM) beams. We use linear optical transformations between log-polar and Cartesian coordinates to: (i) divide the OAM state order to convert the OAM order from 2ℓ to ℓ (ℓ = −5, −4, …, +4, +5), and (ii) multiply the OAM state order from ℓ to 2ℓ. We analyze the OAM mode purity and the bit-error-rate performance of a classical two-mode OAM multiplexed link for the case of division and multiplication of the OAM state order. The experimental mode purity for halving and doubling OAM state order can reach around 87% and 40%, respectively. We further study the dependence of the OAM mode purity on the displacement of SLMs in simulation. The obtained results show that the transformation for doubling the OAM state order is more sensitive to the increase of the displacement than that for halving the OAM state order. The link bit error rates are below the forward error correction threshold of 3.8 × 10−3 for both channels.
Dilantin®-Induced Disseminated Intravascular Coagulation with Purpura Fulminans (1975)

A patient developed disseminated intravascular coagulation with purpura fulminans 1 month after starting Dilantin therapy for a seizure disorder. In addition, the patient developed exfoliative dermatitis, hepatitis, cutaneous vasculitis, and microangiopathic hemolytic anemia. She was successfully treated with adrenal steroids and heparin for her purpura fulminans. The hepatitic dermatologic, along with hemorrhagic, complications of Dilantin are reviewed, and the possible origin of the vasculitis and disseminated intravascular coagulation is discussed.
Integrated laser ablation‐dropletProbe‐mass spectrometry for absolute drug quantitation, metabolite detection, and distribution in tissue (2021)

This study exemplifies the capabilities of integrated laser ablation-dropletProbe-mass spectrometry (LADP-MS) for high resolution absolute drug quantitation analysis of thin tissue sections. This capability will be valuable for applications needing to quantitatively understand the spatial distribution of small molecules in tissue.
Frequency degenerate and nondegenerate two-photon absorption spectra of semiconductor quantum dots (2007)

The frequency degenerate and nondegenerate two-photon absorption (2PA) spectra of direct band gap semiconductor quantum dots are studied. Measuring the spectra for both cases in samples of CdSe and CdTe with different quantum dot sizes and size distributions, we observe that the 2PA spectra and the 2PA coefficient are size dependent, so that smaller dots have smaller 2PA even after taking into account the volume fraction. Theory considering the mixing of the hole bands, in a $\stackrel{P\vec}{k}∙\stackrel{P\vec}{p}$ model, explains the data quite well except for the smallest dots. A comparison with the parabolic band approximation is also shown.
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation (2019)

Many real-world applications involve multivariate, geo-tagged time series data: at each location, multiple sensors record corresponding measurements. For example, air quality monitoring system records PM2.5, CO, etc. The resulting time-series data often has missing values due to device outages or communication errors. In order to impute the missing values, state-of-the-art methods are built on Recurrent Neural Networks (RNN), which process each time stamp sequentially, prohibiting the direct modeling of the relationship between distant time stamps. Recently, the self-attention mechanism has been proposed for sequence modeling tasks such as machine translation, significantly outperforming RNN because the relationship between each two time stamps can be modeled explicitly. In this paper, we are the first to adapt the self-attention mechanism for multivariate, geo-tagged time series data. In order to jointly capture the self-attention across multiple dimensions, including time, location and the sensor measurements, while maintain low computational complexity, we propose a novel approach called Cross-Dimensional Self-Attention (CDSA) to process each dimension sequentially, yet in an order-independent manner. Our extensive experiments on four real-world datasets, including three standard benchmarks and our newly collected NYC-traffic dataset, demonstrate that our approach outperforms the state-of-the-art imputation and forecasting methods. A detailed systematic analysis confirms the effectiveness of our design choices.
A comparison of smoothing kernels for computing bilinear time-frequency representations (1991)

Bilinear representations of Cohen's class are expressed as the Wigner distribution (WD) of the signal convolved with a kernel defined as a 2-D window in time and frequency. Gaussian, exponential and cone kernels are compared by examining their local behavior in the time-frequency plane. It is demonstrated that kernel spread and localization properties are important concerns for analyzing time-varying signals. The cone kernel has good cross-term suppression for speech-like signals because of its large time extent. An effect of this is to enhance stationary terms and attenuate time-varying terms.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>