gebhart/patrepeval huggingface dataset:
Evaluation of the Effect of Cannabidiol on Osteoarthritis-Associated Pain in Dogs—A Pilot Study (2019)

Introduction: There is a lack of research evaluating the efficacy of cannabidiol (CBD) for treatment of osteoarthritis-associated pain using objective outcome measures. This pilot study was designed to evaluate the effect of CBD on pain associated with canine osteoarthritis.
20Gbps Receiver Based on Germanium Photodetector Hybrid-Integrated with 90nm CMOS Amplifier (2011)

Receiver based on Ge waveguide PD hybrid-integrated with CMOS amplifier shows an unprecedented data rate of 20Gbps, -7.1dBm sensitivity, and 7pJ/bit power efficiency. Further improvement is obtained with avalanche gain and feed-forward equalization.
Tailor-Made Agarose-Based Reactive Beads for Hemoperfusion and Plasma Perfusion (1984)

Composite beads of approximately 1mm diameter, made of cross-linked agarose and containing Fuller’s Earth or zirconium oxide powders, were prepared and used in extracorporeal systems for blood detoxification. The former was used for the removal of Paraquat, while the latter was used to remove inorganic phosphate from hyperphosphatemic animals with or without acute renal failure. The high surface area of the powder, combined with the low resistance to diffusion in the cross-linked agarose matrix, are highly advantageous. The crosslinking provides high mechanical strength, heat stability, prolonged shelf life, good blood flow characteristics, and prevents the release of fine particles into the blood. Crosslinked agarose beads of 1 mm diameter, containing chemically-bound heparin were also prepared, and used as a model for direct contact removal of LDL-cholesterol from the blood of familial hypercholesterolemic patients by hemoperfusion. The high capacity of these beads (over 5 mg LDL/mL beads) indicates that this clinical modality can replace the highly expensive plasmapheresis procedure presently used.
Cellulose nanofiber network of high specific surface area provides altered curing reacion and moisture stability in ductile epoxy biocomposites (2013)

Cellulose nanofiber network of high specific surface area provides altered curing reacion and moisture stability in ductile epoxy biocomposites
Stratégie de récupération d'energie au freinage sur véhicules électriques et hybrides (2010)

National audience
Porous Tantalum in Reconstructive Surgery of the Knee – A Review (2010)

Porous tantalum represents an alternative metal for primary and revision total knee arthroplasty (TKA) with several unique properties. Tantalum is a transition metal, which in its bulk form has shown excellent biocompatibility and is safe to use in vivo as evidenced by its current application in pacemaker electrodes, cranioplasty plates, and as radiopaque markers. Current designs for orthopedic implants maintain a high volumetric porosity (70%-80%), low modulus of elasticity (3 MPa), and high frictional characteristics, making this metal conducive to biologic fixation. The low modulus of elasticity of such components allows for more physiologic load transfer and relative preservation of bone stock. Its more bioactive nature and ingrowth properties have led to its use in primary as well as revision knee components with good early clinical results reported. In revision arthroplasty, it has been used as a structural bone graft substitute. Formation of a bone-like apatite coating in vivo affords strong fibrous ingrowth properties and allows for substantial soft-tissue attachment with the potential for use in cases such as mega-prostheses and patella salvage. Although porous tantalum is in its early stages of evolution, the initial clinical data and basic science studies support its use as an alternative to traditional orthopedic implant materials.
Serial [5+2]/[4+2] Cycloadditions: Facile, Preparative, Multi‐Component Syntheses of Polycyclic Compounds from Simple, Readily Available Starting Materials (2001)

Four new bonds and up to four new stereocenters are formed in the title reactions which allow the conversion of readily available starting materials into complex bicyclo[5.4.0]undecane derivatives (see scheme). The reactions are performed in a single, simple operation that can be conducted on a preparative scale (100 mmol thus far). Supporting information for this article is available on the WWW under http://www.angewandte.com or from the author. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Convergence analysis of narrow-band active noise control system (1999)

This paper presents the convergence analysis of the filtered-X least mean square algorithm for narrow-band active noise control with direct-form realization. Theoretical bounds are established for the maximum eigenvalue and the eigenvalue spread of the reference signal's covariance matrix, which in turn provide insight into algorithm convergence and optimization. In order to improve the convergence speed, amplitudes of sinusoidal reference signals are chosen to be the inverse of the magnitude responses of the secondary path at the corresponding frequencies.
Abstract 20274: The Ratio of Coronary Arterial Lumen Volume to Left Ventricle Mass on Coronary Computed Tomography Angiography Identifies Patients Prone to Vessel-Specific Ischemia Measured by Fractional Flow Reserve (2016)

Background: We hypothesize that in patients with suspected coronary artery disease (CAD), the ratio of coronary arterial lumen volume to myocardial mass (V/M) varies among subjects and that patients with low values of V/M are predisposed to ischemia. The purpose of this study was to quantify the relationship between V/M, plaque volume and FFR. Methods and Results: V/M was computed in 254 patients with suspected CAD from the NXT trial (NCT01757678). All patients underwent clinically indicated coronary CTA, invasive angiography, and FFR studies. Nitroglycerin was administered in all patients prior to CT and angiography/FFR. The total arterial lumen volume was calculated as the sum of volumes of the patient-specific anatomical model derived from coronary CTA and, downstream of the image-based model, a morphometric model of the smaller arteries generated using branching laws. The total arterial lumen volume was divided by left ventricular mass. Calcified and noncalcified plaque volumes were quantified using s...
Area-Efficient Graph Layouts (for VLSI). (1980)

Minimizing the area of a circuit is an important problem in the domain of Very Large Scale Integration. We use a theoretical VLSI model to reduce this problem to one of laying out a graph, where the transistors and wires of the circuit are identified with the vertices and edges of the graph. We give an algorithm that produces VLSI layouts for classes of graphs that have good separator theorems. We show in particular that any planar graph of n vertices has an O(n lg-square(n)) area layout and that any tree of n vertices can be laid out in linear area. The algorithm maintains a sparse representation for layouts that is based on the well-known UNION-FIND data structure, and as a result, the running time devoted to management of this representation is nearly linear. (Author)
Reliability Study on Sputter Deposited Barium Strontium Titanate Thin Film Capacitors (2006)

This chapter contains sections titled: Introduction Experimental Results and Discussion Conclusion
Thermal oxidation of Si1−x−yGexCy epitaxial layers characterized by Raman and infrared spectroscopies (2004)

Thermal dry oxidation of Si1−x−yGexCy epilayers, over a wide range of compositions (0&amp;lt;x&amp;lt;0.6 and 0&amp;lt;y&amp;lt;0.05), is studied to assess the feasibility of its integration into silicon processes. It is found that differing oxidation conditions, with different x and y values, result in measurably different final amounts of Ge segregation and stress in the resultant oxides. Raman and infrared spectroscopies have been used to characterize the influence of oxidation conditions on the oxide and on the epilayer properties. It is found that a linear relationship exists between Raman shifts and C concentration in the epilayer. It is also found that the Raman band related to Si–Si bonds splits into two peaks. This double-peak structure is attributed to the development of a region closest to the oxide/epilayer interfaces which is enriched with Ge due to its rejection from the oxidation front. It is concluded that oxidation temperatures lower than 900°C will more readily avoid this segregation, whereas oxidations at higher temperatures, for shorter times, are better suited to minimize the effects of strain generated during the processing.
Semisupervised Learning of Lift Optimization of Multi-Element Three-Segment Variable Camber Airfoil (2018)

This chapter describes a new intelligent platform for learning optimal designs of morphing wings based on Variable Camber Continuous Trailing Edge Flaps (VCCTEF) in conjunction with a leading edge flap called the Variable Camber Krueger (VCK). The new platform consists of a Computational Fluid Dynamics (CFD) methodology coupled with a semi-supervised learning methodology. The CFD component of the intelligent platform comprises of a full Navier-Stokes solution capability (NASA OVERFLOW solver with Spalart-Allmaras turbulence model) that computes flow over a tri-element inboard NASA Generic Transport Model (GTM) wing section. Various VCCTEF/VCK settings and configurations were considered to explore optimal design for high-lift flight during take-off and landing. To determine globally optimal design of such a system, an extremely large set of CFD simulations is needed. This is not feasible to achieve in practice. To alleviate this problem, a recourse was taken to a semi-supervised learning (SSL) methodology, which is based on manifold regularization techniques. A reasonable space of CFD solutions was populated and then the SSL methodology was used to fit this manifold in its entirety, including the gaps in the manifold where there were no CFD solutions available. The SSL methodology in conjunction with an elastodynamic solver (FiDDLE) was demonstrated in an earlier study involving structural health monitoring. These CFD-SSL methodologies define the new intelligent platform that forms the basis for our search for optimal design of wings. Although the present platform can be used in various other design and operational problems in engineering, this chapter focuses on the high-lift study of the VCK-VCCTEF system. Top few candidate design configurations were identified by solving the CFD problem in a small subset of the design space. The SSL component was trained on the design space, and was then used in a predictive mode to populate a selected set of test points outside of the given design space. The new design test space thus populated was evaluated by using the CFD component by determining the error between the SSL predictions and the true (CFD) solutions, which was found to be small. This demonstrates the proposed CFD-SSL methodologies for isolating the best design of the VCK-VCCTEF system, and it holds promise for quantitatively identifying best designs of flight systems, in general.
Abstract 5252: Utilization of TumorGraft technology for personalized breast cancer treatment (2012)

Abstract Breast cancer is the most common cancer among women with over 280,000 new annual cases and 40,000 deaths in the US alone. While hormonal-dependent breast cancer is correlated with good prognosis, an adequate solution for hormonal-independent tumors remains an unmet medical need, largely due to a significant heterogeneity within tumors and their makeover. Various personalized oncology approaches aim at tailoring the optimal regimen for these patients by better understanding their tumor distinctiveness. Champions Oncology focuses on personalizing cancer treatment through the generation of TumorGraft™ models form the patient's own tumor. The current study is focused on the attempt to identify a personalized solution for a patient with HER2-amplified metastatic breast cancer whose disease progressed on Trastuzimab (Herceptin). Using Champions novel and cutting-edge TumorGraft™ technology, the challenge was confronted empirically by preforming a personalized clinical trial in vivo. Tumor fragments, obtained from both the primary breast tumor and lung metastasis, were implanted in immune-deficient mice in a manner that preserves the biological properties of the original tumor and its supporting stroma. Once the TumorGraft™ models were established, panel of drugs and drug combinations were evaluated to help identify treatment regimens that are likely to be most effective for the patient clinically. The drug study encompassed 7 different treatment groups including FDA-approved, as well as investigational agents. Of the 7 treatment arms, 3 demonstrated a significant anti-tumor response with tumor growth inhibition values of 80, 93 and 97% for Lapatinib+Capecitabine, Gemcitabine+Carboplatin and Ixabepilone+Capecitabine, respectively. Molecular analysis of the tumor revealed a truncated HER2 (p95) and a robust HER2 translocation to the nucleus. Additional molecular characterization is ongoing to determine other potential signatures of response. Results from the TumorGraft™ study were recommended to the patient and her medical oncologist and new lines of treatment were commenced subsequently. Herein, we describe the data from the TumorGraft™ drug study, the molecular exploration and the pathway analysis of the primary and the metastatic tumor and the consequences correlation to the clinical outcome. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5252. doi:1538-7445.AM2012-5252
Design of a highly integrated, high frequency, low power DC-DC converter with cascode power stage with a 2.5D approach (2016)

International audience
I-GCN: Incremental Graph Convolution Network for Conversation Emotion Detection (2021)

Sentiment analysis and emotion detection in conversation are becoming hot topics in regard to several applications. With the development of the social robot, social network, and intelligent voice assistant, emotion detection is attracting more attention as a key component in these research fields. Many approaches have been proposed to handle this problem in recent years. However, these previous approaches focus on either the temporal change information of the conversation or the semantic correlation information of the dialogue but ignore the combination of temporal information and semantic correlation information. In this paper, we propose an incremental graph convolution network (I-GCN) to handle emotion detection in conversation. We first utilize the graph structure to represent conversation at different times, which can represent the semantic correlation information of utterances. Then, we apply the incremental graph structure to imitate the process of dynamic conversation, which can preserve the temporal change information of conversation. Especially, for the first step of the process, we creatively propose utterance-level GCN (U-GCN) and speaker-level GCN (S-GCN) to learn the features of utterances for emotion detection. U-GCN focuses on the correlations among utterances and applies the multi-head attention model to find latent correlation information among utterances, which aims to further enhance the guidance of semantic relevance for feature learning. S-GCN focuses on the correlation between speaker and utterances, which can provide a different angle to guide the feature learning of utterances. In the learning of model parameters, we constantly utilize the new utterances to fine-tune the parameters of GNN for enhancement of the contribution of temporal change information. Detailed evaluations of the proposed method on three published conversation corpuses demonstrate the great effectiveness of our approach over several conventional competitive baselines.
Manufacturing Method of Stable Enteric Granules of a New Antiulcer Drug (Lansoprazole) (1994)

In our previous studies, we clarified that enteric granules are an appropriate dosage form for lansoprazole, and we demonstrated that enteric granules could be produced when magnesium carbonate was added as an alkaline stabilizer.These granules however were found to be some unstable under severe conditions because some of the excipients are incompatible with lansoprazole. We therefore attempted granulation not using these incompatible excipients and could obtain more stable enteric granules using a centrifugal fluid-bed granulator instead of an extruder-spheronizer. We also compared the absorption and dissolution properties of the enteric granules manufactured by these two methods.
Unrepeatered Transmission of 6.3 Tb/s (<inline-formula> <tex-math notation="TeX">\(63 \times 128\) </tex-math></inline-formula> Gb/s) Over 402-km Fiber Link (2014)

We demonstrated 6.3-Tb/s (63 × 128 Gb/s) unrepeatered transmission over 402-km fiber link. This was achieved by employing a high-power Yb-free clad-pumped L-band erbium-doped fiber amplifier (EDFA) as a booster amplifier in the transmitter station, a combination of ultralarge-area fiber, low loss and zero-water-peak loss fibers, and a remote optically pumped amplifier (ROPA), which was counter-propagating second-order Raman pumped from receiver station. This letter also describes the design and characteristics of Yb-free cladpumped L-band EDFA, and discusses the system performance optimization of ROPA and Raman impact on large capacity long reach unrepeatered transmission.
Joint Power and Subcarrier Allocation Optimization for Multigroup Multicast Systems With Rate Splitting (2020)

In this article, we investigate a resource allocation problem for multicarrier multiuser MISO (multiple-input-Single-output) downlink systems, where multiple co-channel multicast groups are served simultaneously. We consider a rate-splitting transmission scheme to address the inevitable inter-group interference under an overloaded multigroup multicast scenario, where the insufficient number of transmit antennas prevents the conventional schemes from neutralizing the interference. We first formulate an optimization problem for maximizing the minimum multicast group rate among all groups on all available subcarriers. This problem involves a joint power and subcarrier allocation optimization, and is non-convex. We apply an iterative scheme based on successive convex approximation (SCA) to find the locally optimal solution. Simulation results demonstrate the performance gain of the proposed scheme compared to the state-of-the-art transmission schemes.
Frequency-Selective Mesh-to-Grid Resampling for Image Communication (2017)

This paper presents a novel approach for image reconstruction from pixels located at arbitrary noninteger positions, called mesh. This task forms an intrinsic part of various multimedia applications, including superresolution, fisheye imaging, or generations of new views in multicamera systems, among others. We propose a new frequency-selective mesh-to-grid resampling algorithm that aims at producing high quality reconstructions. It is inspired by the existing frequency-selective reconstruction (FSR) algorithm that is known to exhibit high performance when pixels are located on the regular 2D grid. However, if samples that are located at noninteger positions are involved, a severe overfitting problem arises from the fact that nonorthogonal weighted bases sampled at noninteger positions are used for signal modeling. In order to overcome this issue, we propose a novel stabilizing mechanism that is based on a set of adaptively weighted initial estimates, called key points. We also show that Fourier basis, used in the classic grid-based FSR, yields complex signals when noninteger positions are involved. Since digital images are real valued, we propose to employ a 2D cosine transform basis. Experimental results show the superiority of the proposed approach over a wide range of existing reconstruction techniques.
Lithium‐Sulfur Batteries: Tungsten Disulfide Catalysts Supported on a Carbon Cloth Interlayer for High Performance Li–S Battery (Adv. Energy Mater. 11/2017) (2017)

In article number 1602567, Chunjoong Kim, Yung-Eun Sung, John B. Goodenough, and co-workers report that tungsten disulfide (WS2) sheets decorated carbon cloth interlayer exhibit duel-functioning structure, which gives excellent electrochemical performance owing to its efficient protection against polysulfide loss, fast electron transfer, and catalytic effect via polysulfide adsorption. In addition, the function of each cathode component was identified to understand the enhancement mechanism in detail.
Optimizing Pilot Length for a Go/No-Go Decision in Two-State Block Fading Channels with Feedback (2014)

We propose an approach where each user independently seeks to minimize the amount of time that they occupy the channel. Essentially, we seek to minimize the number of transmitted symbols required to communicate a packet assuming variable-length coding with feedback. Users send a pilot sequence to estimate the channel quality and decide whether to proceed with a transmission or wait for the next opportunity. Thus a user may choose to leave the channel even though it has already gained access, in order to increase the network throughput and also save its own energy resources. This paper optimizes the number of pilots and the channel identification threshold to minimize the total number of transmitted symbols (including pilots) required to communicate the packet. We prove a sufficient condition for the optimal pilot length and the channel identification threshold. This optimal parameter pair is solved numerically and the reduction in channel occupancy is shown for various channel settings.
Bioinformatics of Lung Cancer (2015)

The objective of this study is to explore novel bioinformatics techniques, namely, the Polarimetric Exploratory Data Analysis (pEDA), for early identification and discrimination of precancerous and cancerous lung tissues. The outcome of this study indicates that the full-width-at half maximum (FWHM) and Dynamic Range (DR) extracted from histograms of inherent (label-free) near infrared (NIR) diffused-polarimetric reflectance signals provide an important metrics for the characterization of cancerous tissue. Application of pEDA on the acquired data has been proved an effective diagnostic tool aimed at discriminating optical information among normal, precancerous, and cancerous lung tissue samples. Therefore, it can eventually be proved a useful diagnostic tool in the early detection of Non-Small Cell Lung Cancer (NSCLC) as well as in classical cytopathology and histopathology.
A Kalman Filter for the Identification of Impulse Responses with Particular Symmetry Features (2022)

The identification of long-length impulse responses raises challenging issues in the context of many important applications. In this paper, we consider a theoretical model of the system to be identified, which consists in a combination of bilinear forms that owns particular symmetry features. Following a decomposition of the global impulse response using the Kro-necker product, the conventional system identification problem can be solved based on a combination of the estimates provided by two shorter filters. The solution is formulated in terms of a Kalman filter, with lower computational complexity and improved performance, as compared to the conventional approach. Simulation results outline the advantages of the proposed method.