gebhart/patrepeval huggingface dataset:
Serological analysis of the dissociation process of HLA‐B and C class I molecules (1990)

Two forms of HLA class I molecules reacting differentially with the HC-10 monoclonal antibody were identified at the surface of HLA-A3, B7, Cw3 or Cw7 human cells. The HC-10-nonreactive form (which includes all HLA-A3 and a large fraction of HLA-B7, Cw3 and or Cw7 molecules) corresponds to heavy chains apparently tightly associated to beta 2-microglobulin. The HC-10-reactive form (which represents only a fraction of cell surface expressed HLA-B7, Cw3 and Cw7 molecules) corresponds to heavy chains loosely but still associated to beta 2-microglobulin. Further biochemical analyses and the study of mouse transfected cells expressing other HLA class I specificities led to the following conclusions: (a) dissociation of HLA-B and C molecules is a multistep phenomenon, the various stages being identifiable serologically; (b) acquisition of the HC-10 antigenic determinant appears as a hallmark of HLA class I molecules engaged in the process of dissociation; however, its expression does not imply complete separation of heavy and light chains; (c) only the initial stage of the dissociation process can be identified on cell surfaces, whereas (d) following addition of detergent, dissociation of HLA-B and C molecules spontaneously proceeds further, resulting in accumulation in cell lysate of cell surface-derived isolated HLA-B and C class I heavy chains.
Implementation and Optimization of software 2Dto3D conversion for ARM (2012)

3D imaging capable devices have been available on the market for a few years now but the number of 3D contents available for viewing is not growing fast enough to meet the demand. To compensate for such a problem, most 3D imaging devices are equipped with a 2Dto3D conversion function. In 2Dto3D conversion, depth estimation is essential in order to create pseudo 3D images. Often, such conversion involves complex computations and is difficult to process in a real-time manner. In this paper, we present the implementation of Toshiba's software 2Dto3D conversion solution, in particular, the depth estimation process on ARM processor. This could potentially allow real-time processing on embedded devices such as TVs, mobile phones and tablet computers.
Samarium Diiodide-Mediated Deoxygenation of Taxol: A One-Step Synthesis of 10-Deacetoxytaxol (1994)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSamarium Diiodide-Mediated Deoxygenation of Taxol: A One-Step Synthesis of 10-DeacetoxytaxolGunda I. Georg and Zacharia S. CheruvallathCite this: J. Org. Chem. 1994, 59, 14, 4015–4018Publication Date (Print):July 1, 1994Publication History Published online1 May 2002Published inissue 1 July 1994https://pubs.acs.org/doi/10.1021/jo00093a040https://doi.org/10.1021/jo00093a040research-articleACS PublicationsRequest reuse permissionsArticle Views356Altmetric-Citations28LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information Get e-Alerts
The effects of PDE10 inhibition on attentional set-shifting do not depend on the activation of dopamine D1 receptors (2015)

Inhibitors of phosphodiesterase 10A (PDE10A) represent a novel class of potential antipsychotic compounds. These principles increase the level of cAMP and cGMP in the medium spiny neurons of the striatum and resemble the neurochemical consequences of dopamine D2 receptor inhibition and dopamine D1 receptor stimulation. Cognitive dysfunctions, including an impaired ability to shift perceptual attentional set, are core features of schizophrenia. In the present study, we investigated the involvement of D1 receptors in the procognitive action of the PDE10A inhibitor using the attentional set-shifting task in rats. The performance of the rats in the extradimensional shift stage of the attentional set-shifting task was taken as an index of cognitive flexibility. We first assessed the effects of the D1 agonist in otherwise untreated animals and in animals pretreated with the D1 receptor antagonist. We then investigated the procognitive effects of the PDE10A inhibitor, MP-10, in otherwise untreated animals and in animals pretreated with the D1 receptor antagonist. The dopamine D1 receptor antagonist SCH-23390 produced cognitive impairment at the dose of 0.0125 mg/kg, but not at 0.0063 mg/kg. The D1 receptor agonist, SKF-81,297, produced a procognitive effect that was abolished by 0.0063 mg/kg of SCH-23390. The compound MP-10 produced a procognitive effect at the dose of 0.3 mg/kg, but not at 0.1 mg/kg. Rat pretreatment with 0.0063 mg/kg of SCH-23390 did not block the procognitive effect of 0.3 mg/kg of MP-10. The present study demonstrates that the blockade of dopamine D1 receptors is unlikely to affect the procognitive effects of PDE10A inhibition.
ORBIT: an optimizing compiler for scheme (1986)

In this paper we describe an optimizing compiler for Scheme [3, 131 called Orbit that incorporates our experience with an earlier Scheme compiler called TC [IO, II], together with some ideas from Steele’s Rabbit compiler [14]. The three main design goals have been correctness, generating very efficient compiled code, and portability. In spirit, Orbit is similar to the Rabbit compiler in that it depends on a translation of source code into
Long wave fluorophore sensor compounds and other fluorescent sensor compounds in polymers (2023)

Fluorescent biosensor molecules, fluorescent biosensors and systems, as well as methods of making and using these biosensor molecules and systems are described. Embodiments of these biosensor molecules exhibit fluorescence emission at wavelengths greater than about 650 nm. Typical biosensor molecules include a fluorophore that includes an iminium ion, a linker moiety that includes a group that is an anilinic type of relationship to the fluorophore and a boronate substrate recognition/binding moiety, which binds glucose. The fluorescence molecules modulated by the presence or absence of polyhydroxylated analytes such as glucose. This property of these molecules of the invention, as well as their ability to emit fluorescent light at greater than about 650 nm, renders these biosensor molecules particularly well-suited for detecting and measuring in-vivo glucose concentrations.
Information Rate Performance of Massive MU-MIMO Uplink with Constant Envelope Pilot-based Frequency Synchronization (2016)

In this paper, we consider a constant envelope (CE) pilot-based low-complexity technique for frequency synchronization in multi-user massive MIMO systems. Study of the complexity-performance trade-off shows that this CE-pilot-based technique provides better MSE performance when compared to existing low-complexity high-PAPR pilot-based CFO (carrier frequency offset) estimator. Numerical study of the information rate performance of the TR-MRC receiver in imperfect CSI scenario with this CE-pilot based CFO estimator shows that it is more energy-and-spectrally efficient than existing low-complexity CFO estimator in massive MIMO systems. It is also observed that with this CE-pilot based CFO estimation, an $\mathcal{O}(\sqrt{M})$ array gain is achievable.
Strukturen verändern - Heilung verbessern. 29. Deutscher Krebskongress. Berlin 24.-27. Februar 2010, pp 115-128 (2010)

Cervical cancer is the second most common cancer among women worldwide.Every year approximately 500.000 new cases are diagnosed and 270.000 women die from this malignancy. The tumor is caused by a persistent infection with high-risk human papillomaviruses (HPV). The recently developed vaccination prevents infections with high-risk HPV 16 and HPV 18, two of the most frequent virus types. Nevertheless, there are several unsolved problems: The vaccination does not cover all high risk HPV types, there is no effective\ntreatment for infected women available and the vaccine is still not sufficiently available in the most severely affected regions, in developing countries. Therefore, an antiviral therapy would be highly desirable. During papillomaviral infections the viral genomes are tethered to mitotic chromosomes to pass the infection on to the next generation of cells during replication. For this maintenance mechanism the viral E2 protein binds to the cellular bromodomain protein Brd4. Our previous work has also established that the Brd4-E2 interaction is involved in viral transcriptional regulation mechanisms, which are involved in cervical cancer pathogenesis.\nThe goal of the presented work is to analyze and further characterize the protein-protein interaction networks underlying these genome maintenance mechanisms and thereby to gain additional insights into the mitotic complexes\ninvolved. Furthermore, we are working on the development of target-specific anti - HPV drugs and will discuss the impact for the prevention of cervical cancer.
Low temperature cofired ceramic: an enabler of high power RF integrated amplifiers (2003)

Multi-layer ceramic technologies have been viewed recently as an enabler to increase the electrical functionality in a cost effective manner for high power discrete transistors. High power applications have stringent requirements on conductor losses, thermal characteristics and repeatability of design. We present a characterization of these factors and a preliminary definition of the boundary conditions for use in RF integrated amplifiers.
New results on observations selection (2007)

Abstract:- In this paper we propose a new observations selection technique in Vector Quantization context. The main idea is to select observations that are not representatives of their classes. The cells generated by the Vector Quantization are divided in regions of rejection. A number of controlled experiments were performed demonstrating the proposed methodology potentiality.
Electric agents (2013)

Electric Agents is a multi-player game that uses augmented reality on mobile phones to facilitate in-room collaboration and promote joint media engagement around interactive educational television content in the home. Joint media engagement describes 'collaborative' consumption of media and has potential learning benefits. Our research examines whether technology can support joint media engagement, through the use of a series of prototypes that combine handheld augmented reality with web-based video. In pilot testing, sibling play patterns showed evidence of the kind of in-room collaboration and joint media engagement that previous research has shown to facilitate children in making sense of media content.
Microstructural Classification of Bainitic Subclasses in Low-Carbon Multi-Phase Steels Using Machine Learning Techniques (2021)

With its excellent property combinations and ability to specifically adjust tailor-made microstructures, steel is still the world’s most important engineering and construction material. To fulfill ever-increasing demands and tighter tolerances in today’s steel industry, steel research remains indispensable. The continuous material development leads to more and more complex microstructures, which is especially true for steel designs that include bainitic structures. This poses new challenges for the classification and quantification of these microstructures. Machine learning (ML) based microstructure classification offers exciting potentials in this context. This paper is concerned with the automated, objective, and reproducible classification of the carbon-rich second phase objects in multi-phase steels by using machine learning techniques. For successful applications of ML-based classifications, a holistic approach combining computer science expertise and material science domain knowledge is necessary. Seven microstructure classes are considered: pearlite, martensite, and the bainitic subclasses degenerate pearlite, debris of cementite, incomplete transformation product, and upper and lower bainite, which can all be present simultaneously in one micrograph. Based on SEM images, textural features (Haralick parameters and local binary pattern) and morphological parameters are calculated and classified with a support vector machine. Of all second phase objects, 82.9% are classified correctly. Regarding the total area of these objects, 89.2% are classified correctly. The reported classification can be the basis for an improved, sophisticated microstructure quantification, enabling process–microstructure–property correlations to be established and thereby forming the backbone of further, microstructure-centered material development.
Acylhydrazones as Reversible Covalent Crosslinkers for Self‐Healing Polymers (2015)

The utilization of dynamic covalent and noncovalent bonds in polymeric materials offers the possibility to regenerate mechanical damage, inflicted on the material, and is therefore of great interest in the field of self‐healing materials. For the design of a new class of self‐healing materials, methacrylate containing copolymers with acylhydrazones as reversible covalent crosslinkers are utilized. The self‐healing polymer networks are obtained by a bulk polymerization of an acylhydrazone crosslinker and commercially available methacrylates as comonomers to fine‐tune the T g of the systems. The influence of the amount of acylhydrazone crosslinker and the self‐healing behavior of the polymers is studied in detail. Furthermore, the basic healing mechanism and the corresponding mechanical properties are analyzed.
Members of RTP and REEP Gene Families Influence Functional Bitter Taste Receptor Expression (2006)

Functional characterization of chemosensory receptors is usually achieved by heterologous expression in mammalian cell lines. However, many chemoreceptor genes, including bitter taste receptors (TAS2Rs), show only marginal cell surface expression. Usually, these problems are circumvented by using chimeric receptors consisting of "export tags" and the receptor sequence itself. It seems likely that chemoreceptor cells express factors for cell surface targeting of native receptor molecules in vivo. For TAS2Rs, however, such factors are still unknown. The present study investigates the influence of RTP and REEP proteins on the functional expression of human TAS2Rs in heterologous cells. We expressed hTAS2Rs in HEK 293T cells and observed dramatic differences in responsiveness to agonist stimulation. By immunocytochemistry we show accumulation of the bitter beta-glucopyranoside receptor hTAS2R16 in the Golgi compartment. Coexpression of RTP and REEP proteins changed the responses of some hTAS2Rs upon agonist stimulation, which is likely due to efficient cell surface localization as demonstrated by cell surface biotinylation experiments. The coimmunoprecipitation of hTAS2R16 and RTP3 or RTP4 suggests that the mechanism by which these cofactors influence hTAS2R16 function might involve direct protein-protein interaction. Finally, expression analyses demonstrate RTP and REEP gene expression in human circumvallate papillae and testis, both of which are sites of TAS2R gene expression.
Demonstration of electro-osmotic pulse (EOP) technology to mitigate alkali-silica reaction in concrete pavement : final report on Project F08-AR24 (2019)

All Department of Defense (DoD), Army, federal government, and privatesector facilities experience the problem of concrete deteriorating via alkalisilica reaction (ASR). ASR is a form of concrete corrosion that slowly deteriorates concrete from the inside by forming highly expansive gels that cause cracking and swelling of the concrete matrix. This project evaluated Electro-Osmotic Pulse (EOP) technology to mitigate ASR in an area of the visitor
Comparison of urine trypsinogen-2 test strip with serum lipase in the diagnosis of acute pancreatitis. (2003)

Acute pancreatitis can be excluded with a higher probability with the actim Pancreatitis strip than with serum lipase determination, and therefore appears to be more suitable for screening of acute pancreatitis. With its high specificity with a cut-off > 3x the upper reference limit, serum lipase is suitable as a confirmatory test for pancreatitis when a positive dipstick result is obtained.
Current Status and Future Direction of Fragment-Based Drug Discovery: A Computational Chemistry Perspective (2015)

Fragment-based drug discovery (FBDD) has become a well-established and widely used approach for lead identification. The computational chemistry community has played a central role in developing the ideas behind this area of research and computational tools are important throughout FBDD campaigns. This article discusses the evolution of best practice, on-going areas of debate and gaps in current capabilities from a computational chemistry perspective. In particular, the contribution of computational methods to areas such as fragment library design, screening analysis, data handling and the role of structure- and ligand-based design is discussed. The potential to combine FBDD with other hit-identification methods such as high-throughput screening in a more integrated approach is also highlighted.
Robust and Efficient Sorting with Offset-value Coding (2022)

Sorting and searching are large parts of database query processing, e.g., in the forms of index creation, index maintenance, and index lookup, and comparing pairs of keys is a substantial part of the effort in sorting and searching. We have worked on simple, efficient implementations of decades-old, neglected, effective techniques for fast comparisons and fast sorting, in particular offset-value coding. In the process, we happened upon its mutually beneficial relationship with prefix truncation in run files as well as the duality of compression techniques in row- and column-format storage structures, namely prefix truncation and run-length encoding of leading key columns. We also found a beneficial relationship with consumers of sorted streams, e.g., merging parallel streams, in-stream aggregation, and merge join. We report on our implementation in the context of Google’s Napa and F1 Query systems as well as an experimental evaluation of performance and scalability.
A dynamic model for thermoelectric generator applied to vehicle waste heat recovery (2017)

Waste heat recovery using a thermoelectric generator (TEG) is a promising approach for vehicle original equipment manufacturers to reduce fuel consumption and lower CO2 emissions. A TEG can convert otherwise wasted thermal energy from engines to electricity directly for use in the vehicle systems. This paper focuses on the development of a dynamic model of TEG system designed for vehicle waste heat recovery, which is made up of counter-flow heat exchangers (HXRs) and commercial thermoelectric modules (TEMs). The model is built from thermoelectric materials into a TEM and then into a TEG system. Compared to other TEG models, the tuning and validation process of the proposed model is more complete. Experiments are done on both a TEM test rig and a heavy-duty diesel engine, which is equipped with a prototype TEG on the exhaust gas recirculation (EGR) path. Simulations of steady-state operating points as well as the response to typical engine cycle test show good agreement with experimental data. A TEG installed upstream of the after-treatment system in a heavy-duty truck has been modelled to predict the temperatures and power output in a dynamic driving cycle. The simulation results of temperatures show the model can be used as a basis to develop a control system for dynamic operation to ensure safety operation of TEG and efficient operation of the after-treatment system. A comparison of power output of the systems under different scenarios underlines the importance of integration of TEM with HXRs. Based on the simulation results, around 20% average power output increase can be expected by optimizing the thermal contact conductance and the heat transfer coefficient of hot side HXR.
A support vector machine for terrain classification in on-demand deployments of wireless sensor networks (2013)

Terrain characteristics can significantly alter the quality of the results provided by the deployment methodology of large-scale wireless sensor networks. For example, transmissions between nodes that are heavily obstructed will require additional transmission power to establish connection between nodes. In some cases, heavily obstructed areas may prevent nodes from establishing a connection at all. Therefore, terrain analysis and classification of specific deployment areas should be incorporated in the methodology process for evaluation and optimization of the performance of wireless sensor networks upon deployment. Although there exists radio frequency (RF) models capable of modeling obstructions, such as vegetation, foliage, etc., automatic assignment of parameter values for these models may be troublesome, specifically in highly irregular deployments terrains, where proximity of poor and optimal conditions for signal propagation may be adjacent to each other. In these situations, parameter estimation for modeling terrain obstruction may result in overly optimistic or pessimistic results, causing characterizations or predictions that deviate from the true performance of the WSN once deployed. This paper presents the results of employing a support vector machine for automatic terrain classification. The approach can be used to automatically determine areas of high obstruction, which is essential to estimate obstruction parameters in simulations and enhancing the overall decision-making process during pre-deployment of large-scale and irregular deployment terrains.