gebhart/patrepeval huggingface dataset:
Cross-reactivity of murine anti-human high molecular weight-melanoma associated antigen monoclonal antibodies with guinea pig melanoma cells. (1987)

To identify melanoma associated antigens (MAAs) shared by human and guinea pig melanoma cells, a battery of murine monoclonal antibodies (MoAbs) to human MAA and an antiserum to S100 protein were tested with four newly established guinea pig melanoma cell lines. Only the monoclonal antibodies 149.53 and 225.28 which recognize distinct determinants of the human high molecular weight-MAA (HMW-MAA) reacted with all four guinea pig melanoma cell lines. To compare the binding site of MoAbs 149.53 and 225.28 with guinea pig and human melanoma cells, inhibition binding experiments were performed with antiidiotypic monoclonal antibodies which completely inhibit the binding of MoAbs 149.53 and 225.28 to human melanoma cells. The binding of MoAb 149.53 to guinea pig melanoma cells was partially inhibited by antiidiotypic MoAbs MF9-10 and MK1-180 which recognize distinct private idiotopes within the antigen combining site of MoAb 149.53. On the other hand the binding of MoAb 225.28 to guinea pig melanoma cells was completely inhibited by antiidiotypic MoAbs MF11-30 and TK1-F2 which recognize distinct private idiotopes within the antigen combining site of MoAb 225.28. These results suggest that the determinant recognized by MoAb 149.53 on guinea pig melanoma cells is similar but not identical to that recognized on human melanoma cells, while the determinants recognized by MoAb 225.28 on the two types of cells do not display any detectable differences under the experimental conditions tested. The target structure on the guinea pig melanoma cells identified by MoAbs 149.53 and 225.28 is a Mr 280,000 molecule which has the same apparent molecular weight as one of the two subunits of the HMW-MAA synthesized by human melanoma cells. Sequential immunoprecipitation experiments with guinea pig melanoma cells showed that the determinant recognized by MoAb 149.53 is expressed on a subpopulation of the molecules recognized by MoAb 225.28. Immunohistochemical staining with MoAb 225.28 of a variety of different tissues from normal adult guinea pigs showed that the corresponding antigenic determinant is detectable only in basal cells of epidermis and hair follicles of skin. S100 protein, which is a cytoplasmic constituent of normal human melanocytes, benign nevi, and malignant melanocytes, was also detected in the cytoplasm of the four cultured guinea pig melanoma cells lines. The results of the present investigation may lead to a better understanding of the phylogenetic evolution of the human HMW-MAA and suggest that guinea pig melanoma may serve as a useful animal model for immunobiological studies and carcinogen-induced tumorigenesis investigations.
A nutritional supplement for improving fertility in women: a pilot study. (2004)

Nutritional supplementation may provide an attractive alternative or complement to conventional fertility therapy.
A Controlled Trial of Povidone-Iodine as Prophylaxis Against Opthalmia Neonatorum (1995)

Department of Opthamology, Jules Stein Eye Institute, Harbor-UCLA School of Medicine, Los Angeles and Torrance, California and the Eye Department, Presbyterian Church Hospital, Kikuyu, Kenya. N Engl J Med 1995;332:562-566
Stability analysis for acoustic wave propagation in tilted TI media by finite differences (2011)

SUMMARY
Several papers in recent years have reported instabilities in P-wave modelling, based on an acoustic approximation, for inhomogeneous transversely isotropic media with tilted symmetry axis (TTI media). In particular, instabilities tend to occur if the axis of symmetry varies rapidly in combination with strong contrasts of medium parameters, which is typically the case at the foot of a steeply dipping salt flank. In a recent paper, we have proposed and demonstrated a P-wave modelling approach for TTI media, based on rotated stress and strain tensors, in which the wave equations reduce to a coupled set of two second-order partial differential equations for two scalar stress components: a normal component along the variable axis of symmetry and a lateral component of stress in the plane perpendicular to that axis. Spatially constant density is assumed in this approach. A numerical discretization scheme was proposed which uses discrete second-derivative operators for the non-mixed second-order derivatives in the wave equations, and combined first-derivative operators for the mixed second-order derivatives.

This paper provides a complete and rigorous stability analysis, assuming a uniformly sampled grid. Although the spatial discretization operator for the TTI acoustic wave equation is not self-adjoint, this operator still defines a complete basis of eigenfunctions of the solution space, provided that the solution space is somewhat restricted at locations where the medium is elliptically anisotropic. First, a stability analysis is given for a discretization scheme, which is purely based on first-derivative operators. It is shown that the coefficients of the central difference operators should satisfy certain conditions. In view of numerical artefacts, such a discretization scheme is not attractive, and the non-mixed second-order derivatives of the wave equation are discretized directly by second-derivative operators. It is shown that this modification preserves stability, provided that the central difference operators of the second-order derivatives dominate over the twice applied operators of the first-order derivatives. In practice, it turns out that this is almost the case. Stability of the desired discretization scheme is enforced by slightly weighting down the mixed second-order derivatives in the wave equation. This has a minor, practically negligible, effect on the kinematics of wave propagation. Finally, it is shown that non-reflecting boundary conditions, enforced by applying a taper at the boundaries of the grid, do not harm the stability of the discretization scheme.
Tissue Contrast Imaging by Polarization Sensitive Optical Coherence Tomography (2009)

A tissue discriminating tomographic imaging by polarization sensitive optical coherence tomography (PS-OCT) is reported. The PS-OCT provides a standard OCT and polarization sensitive phase retardation OCT. These images are processed by newly developed algorithm which classifies each pixel in the OCT image to tissue types based on the optical properties of the pixels. This method successfully classify the tissues in an anterior eye segment.
Photovoltaic effect in gated MoS2 Schottky junctions (2012)

Atomically thin MoS2 has recently emerged as a very attractive material for nanoscale optoelectronic devices. While n-type transport in MoS2 devices has been demonstrated, hole conduction has been more challenging. Here we show work-function engineering to be an effective approach for controlling the polarity of MoS2 devices. Gated multi-layer MoS2 transistors with Au source/drain contacts exhibit n-type operation, while those with Pd contacts are shown to have p-type behavior. Devices with one Au and one Pd contact exhibit asymmetric ambipolar behavior and diode characteristics over a wide range of gate voltage, as well as a sizable photovoltaic effect. We argue that the photovoltaic effect arises from the built-in potential of the space charge accumulated at the source and drain contacts.
Enhancement of trace gas detection by integrating wavelength modulated spectra across multiple lines (2010)

We describe and demonstrate a technique that enhances the sensitivity of a spectrometer for trace gas detection by employing wavelength modulation spectroscopy (WMS) and integrating the absolute value of the recorded spectra across multiple lines of the species. The sensitivity is further enhanced by conducting WMS with large modulation depths. This technique is demonstrated using a continuously tunable external cavity CW quantum cascade laser to record the second harmonic wavelength modulated spectra of NO(2) across the peak of the R-branch from 1629.5 to 1633.9 cm(-1). By integrating the absolute value of the resulting spectra, the detection sensitivity of NO(2) is improved by a factor of 40 compared to the sensitivity achieved using single-line WMS with the same apparatus. By using this technique, we achieve a sensitivity of approximately 6 parts in 10(9) (ppb) using a short-path cell (a 1 m absorption cell with two passes).
Thymosin α1 continues to show promise as an enhancer for vaccine response (2012)

Thymosin α1 (Tα1) is an immune-modulating peptide that can be expected to improve response to vaccinations, as stimulated dendritic cells and T cells can act in concert to increase antibody production along with an improved cytotoxic response from the T cells themselves. Tα1 demonstrated efficacy in preclinical studies; subsequently, it was shown to enhance response to vaccinations in difficult-to-treat populations, including individuals immune suppressed due to age or hemodialysis, and leading to a decrease in later infections. During the 2009 pandemic outbreak of H1N1 influenza, mouse and ferret studies confirmed that the use of higher doses of Tα1 allowed for fewer injections than those used in the previous clinical studies. In addition, a clinical study with Focetria™ MF59-adjuvanted monovalent H1N1 vaccine showed that treatment with Tα1 twice provided an earlier and greater response to the vaccine (P < 0.01).
Novel myostatin-specific antibody enhances muscle strength in muscle disease models (2021)

Myostatin, a member of the transforming growth factor-β superfamily, is an attractive target for muscle disease therapy because of its role as a negative regulator of muscle growth and strength. Here, we describe a novel antibody therapeutic approach that maximizes the potential of myostatin-targeted therapy. We generated an antibody, GYM329, that specifically binds the latent form of myostatin and inhibits its activation. Additionally, via "sweeping antibody technology", GYM329 reduces or "sweeps" myostatin in the muscle and plasma. Compared with conventional anti-myostatin agents, GYM329 and its surrogate antibody exhibit superior muscle strength-improvement effects in three different mouse disease models. We also demonstrate that the superior efficacy of GYM329 is due to its myostatin specificity and sweeping capability. Furthermore, we show that a GYM329 surrogate increases muscle mass in normal cynomolgus monkeys without any obvious toxicity. Our findings indicate the potential of GYM329 to improve muscle strength in patients with muscular disorders.
Graphical query interfaces for semistructured data: the QURSED system (2005)

We describe the QURSED system for the declarative specification and automatic generation of Web-based query forms and reports ( QFR s) for semistructured XML data. In QURSED, a QFR is formally described by its query set specification ( QSS ) which captures the complex query and reporting capabilities of the QFR and the associations of the query set specification with visual elements that implement these capabilities on a Web page. The design-time component of QURSED, called QURSED Editor, semi-automates the development of the query set specification and its association with visual elements by translating intuitive visual actions taken by a developer into appropriate specification fragments . The run-time component of QURSED produces XQuery statements by synthesizing fragments from the query set specification that have been activated during the interaction of the end-user with the QFR and renders the query results in interactive reports as specified by the QSS . We describe the techniques and algorithms employed by QURSED with emphasis on how it accommodates the intricacies introduced by the semistructured nature of the underlying data. We present the formal model of the query set specification, as well as its generation via the QURSED Editor, and focus on the techniques and heuristics the Editor employs for translating visual designer input into meaningful specifications. We also present the algorithms QURSED employs for query generation and report generation. An online demonstration of the system is available at http://www.db.ucsd.edu/qursed/.
Accelerated force computation for physics-based information visualization (2003)

Visualization of similarity is an emerging technique for analyzing relation-based data sets. A common way of computing the respective layouts in an information space is to employ a physics-based mass-spring system. Force computation, however, is costly and of order N2. In this paper, we propose a new acceleration method to adopt a well-known optimized force-computation algorithm which drastically reduces the computation time to the order of N log N. The basic idea is to derive a two-pass, prediction and correction procedure including a customized potential function. We have applied this method to two different applications: web access and sales analysis. Both demonstrate the efficiency and versatility of the presented method.
Flaw detection by line-focusing electromagnetic acoustic transducers (2002)

This paper presents an EMAT technique to focus the shear-vertical wave (SV wave) to a line in a solid body. The EMAT consists of a permanent magnet to apply the bias magnetic field normal to the solid surface, and a meanderline coil to induce the dynamic field and eddy currents in the surface region. The meanderline spacing is continuously changed so that the excited SV waves become coherent on the focal line after traveling oblique paths from the parts of coil. The printed circuit technique makes it possible to fabricate such a meanderline coil of theoretically generated nonuniform spacing. The EMAT is used for detecting the shallow notch introduced by electric-discharge technique on the opposite surface of an aluminum block, where the focal line is located. The scattered and reflected signal at the notch wall is received by the same EMAT, which shows enough strength even for the notch of 0.05 mm deep.
Computer vision algorithms for magnetic resonance imaging (2003)

In this thesis we present two new algorithms for the post-processing of time series images obtained from contrast enhanced magnetic resonance angiography and a new algorithm for the correspondence problem for image pairs obtained from different modalities. 
The first algorithm is an automatic filtering algorithm using arterial characterization for selecting arterial phase images and mask images to generate an optimal summary arteriogram. Our algorithm use an evaluation function that qualitatively assesses how good a given subtraction image is. The evaluation function is fairly easy to implement and extremely fast to compute. We went through a paired double-blinded comparison to demonstrate that our algorithm is as effective as the manual process, but a lot faster than human counterpart. 
The second algorithm produces a segmentation of artery from vein/parenchyma in an input image sequence. Our algorithm uses a model-based time series analysis of individual pixels. We take an energy minimization approach to ensure spatial coherence. The energy is minimized in an expectation-maximization fashion that alternates between segmenting the image into a number of non-overlapping regions and finding the temporal profile parameters which describe the behavior of each region. Preliminary experiments on MR mammography and MR angiography studies show the algorithm's ability to find a reasonable segmentation. 
The third algorithm addresses visual correspondence problems without assuming that corresponding pixels have similar intensities. This situation is common with medical images, usually due to different imaging modalities. We use maximization of mutual information, which is a powerful technique for registering images that requires no a priori model of the relationship between intensities of corresponding pixels in different imaging modalities. Experiments demonstrate that our algorithm is effective for many situations, including real scenes that have had their intensities artificially altered.
New Algorithm to Quantify Well Productivity of Wells in Solution Gas Drive Reservoirs with More Than One Permeability Circular Region (2017)

Abstract Oil well Inflow Performance Relationship (IPR) defines the reservoir potential to deliver fluid from reservoir into the wellbore. The IPR curve plays an important role to ensure the feasibility of drilling wells at a lower scale and the field development at a larger scale. Most of the available existing IPR correlations were developed for homogenous reservoirs. In reality, the reservoir seldom shows homogenous behavior. Using incorrect IPR correlation for a particular reservoir may induce uncertainty in the estimated flow rate for a given drawdown. This may affect the process of decision making especially in large-scale field development projects. Even though many analytical IPR correlations are available in the literature, but they are either complex or require unknown input parameters. This study focuses on the effect of composite reservoirs (more than one permeability regions/rings) behavior on IPR for solution-gas drive oil reservoirs. The main objective of this study is to develop a new empirical IPR correlation for composite reservoirs. Many investigators have developed correlations for a solutions gas drive reservoir for specific well/reservoir types such as dual permeability, multilateral, etc. where they fit well for a specific reservoir behavior and might be unrealistic for different reservoir types. The inflow performance relationships for composite reservoir with more than one reservoir properties regions (rings) are not yet investigated. Hence, there is a need to develop such correlation. The accuracy of the new IPR model is also quantified showing acceptable error as compared to other existing correlations. The new generated empirical IPR equation can be used to predict the performance of vertical wells in a solution gas drive composite reservoir with more than one heterogeneous regions (rings). This simple IPR correlation would provide petroleum engineers a simple and accurate tool for predicting the well inflow performance of composite reservoirs.
Supervised learning based automatic adaptation of virtualized resource selection policy (2016)

Network virtualization techniques enable network service providers to implement and provide multiple logical networks on a common physical network infrastructure. It is essential to guarantee quality of services (QoS) by automatically selecting appropriate network and computer resources to virtual networks (consisting of edge, core networks and data-centers) requiring high level of QoS when the surrounding network environments are rapidly-varying. In this paper, we propose to apply a classification method of supervised learning to determining a policy of virtualized resource selection for virtual networks (VNs). When a new VN is constructed, virtualized resources are selected according to the resource selection policy decided by the learning method which derives a classification boundary by means of past records on combinations of service requirements, time-varying network environments and actually-allocated virtualized resources. Then, our proposed scheme automatically and adaptively updates the resource selection policy by autonomously executing relearning on the basis of urgent contingencies, performances of VNs, and so on. Our proposed scheme will make it easier to exclusively occupy virtualized resources guaranteeing QoS especially for VNs requiring high level of QoS by reducing the blocking probability in resources request for the construction of the VNs.
Automatic target recognition and geo-location for side scan sonar imagery (2017)

Ocean and lake floor survey is most efficiently conducted by active sonar owing to its favorable propagation range under water relative to other sensing modalities. Range however must be traded for resolution, yielding sonar return imagery that challenges both operator and machine to match returns to specific objects. In the case of certain objects, time-range extent in echo imagery may be exploited by machine learning detection and classification methods. This talk describes the success of such a method when applied to data collected from a low cost autonomous platform. Further capabilities such as decision support and detection geolocation are discussed. [This material is based upon work supported under Air Force Contract No. FA8721-05-C-0002 and/or FA8702-15-D-0001. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. Air Force. Presentation may contain distribution limited material.]
Application of an Adaptive Digital Filter for Estimation of Internal Battery Conditions (2005)

<div class="htmlview paragraph">This paper proposes an innovative and accurate method of estimating the internal conditions of rechargeable batteries for vehicles powered by electric motors, such as electric vehicles (EVs) and hybrid electric vehicles (HEVs). The proposed method is necessary to utilize battery power fully on vehicles powered by electric motors (especially HEVs) and thereby improve fuel economy or reduce the battery size.</div> <div class="htmlview paragraph">As the first step in this study, the relationship between the current and terminal voltage of a rechargeable lithium-ion battery was described using a linear parameter varying (LPV) model. That made it possible to reduce the problem of estimating the internal battery conditions (internal resistance, time constant, and so on) to a problem of recursively estimating the model parameters with an adaptive digital filter. An up-to-date parameter identification algorithm has been applied in order to estimate the model parameters recursively with good accuracy at all times, since they vary greatly depending on the operating conditions (state of charge (SOC), temperature, degree of battery degradation, etc.). As the second step, the calculated model parameters (internal resistance, time constant) and another type of LPV battery model were used to derive the open voltage (one of the internal states). The calculated model parameters and open voltage facilitated accurate estimations of the SOC, available output power and acceptable input power using an inherent battery characteristic (the steady-state correlation between open voltage and SOC) and maximum power definitions regardless of the operating conditions.</div> <div class="htmlview paragraph">This paper describes an example of the application of this method to a lithium-ion battery and presents the simulation and experimental results. Bench test results verified that SOC estimation accuracy was within ±4% and that of the available output power and acceptable input power was within ±10%.</div>
A Low-Complexity Robust OFDM Receiver for Fast Fading Channels (2014)

Orthogonal frequency division multiplexing (OFDM) receivers suffer significant performance degradation in time-varying fast fading channels because of the inter-carrier interference (ICI) induced by the Doppler effect. We previously proposed a novel iterative decision-directed channel estimation and ICI cancellation technique which can provide robust performance for mobile OFDM receivers moving at fast vehicle speed. The nutshell of the proposed technique is a channel estimator which is capable of estimating the ICI gains on each off-diagonal vector of the channel frequency response matrix of a doubly-selective fading channel, which corresponds to the ICI induced by the neighbor subcarrier symbol to current subcarrier. In this paper, we generalize the channel estimator and provide theoretical analysis on the achievable performance. As an application to digital video broadcasting terrestrial system, we provide intensive simulation results and detailed comparison on implementation complexity and performance with existing techniques to showcase the significance of the proposed technique in practical applications.