gebhart/patrepeval huggingface dataset:
A Novel, Mercaptoketone-Based HDAC Inhibitor, KD5170 Exerts Marked Inhibition of Osteoclast Formation and Anti-Myeloma Activity In Vitro. (2006)

Abstract Multiple Myeloma (MM) is characterized by the malignant proliferation of plasma cells and high osteoclast (OCL) activity resulting in increased bone destruction and the development of lytic lesions. Ideally, novel therapeutic agents directed at MM should not only target the myeloma cell, but also OCL activity. Multiple, chemically distinct, Histone Deacetylase (HDAC) inhibitors have shown promising anti-myeloma activity in pre-clinical studies. The majority of the HDAC inhibitors in clinical development employ either benzamide or hydroxamate chemistry. Through an uHTS biochemical screen of 600,000 compounds and subsequent medicinal chemistry efforts, a novel mercaptoketone series of HDAC inhibitors has been developed. The most potent compounds in this series exhibit nanomolar activity in both biochemical and cell-based assays. To determine the clinical potential of this series in treating MM we have profiled the lead compound, KD5170 in assays that monitor osteoclastogenesis and proliferation and apoptosis of MM cells. To evaluate the effects of KD5170 on the formation of OCL from mononuclear hematopoietic precursors, we utilized a human bone marrow culture system from MM patients to generate OCLs by in vitro RANKL/M-CSF stimulation. KD5170 treatment resulted in a significant dose dependent (0.5–8 10−6M) inhibition of osteoclast formation. In addition, RPMI-8226 cell proliferation was significantly suppressed by KD5170 at 3 10−6M as measured by [3H]-Thymidine-incorporation. Furthermore, we observed that KD5170 induced dose- (0.05–1 10−6M) and time-dependent (2–24h) apoptosis of U266 MM cells, as measured by Hoechst/PI double staining to identify distinct stages of apoptosis and to differentiate between apoptotic and necrotic cell death. Significantly, less than 5% of the cells were necrotic (PI-positive) indicating active engagement of the apoptotic pathway. KD5170 treatment (1 10−6M, 72 h) also markedly decreased the viability of primary CD138+ bone marrow cells from MM patients, as determined by trypan blue exclusion. In contrast, the viability of CD138− and mononuclear bone marrow cells from MM patients and normal healthy donors were unaffected, suggesting targeted selectivity. Our studies identify KD5170 as a promising new HDAC inhibitor that inhibits both osteoclast formation as well as the proliferation of MM cells. Furthermore, pronounced anti-proliferative activity of KD5170 on the MM cell line U266, suggests that a subset of MM may be the ideal target of this agent. U266 harbors a translocation involving 11q13 raising the possibility that this chromosomal alteration and Cyclin D1 dysregulation may have a role in mediating KD5170 sensitivity and as such will be a focus of future studies.
Reversibly Cross-Linked Polymer Gels as Healing Agents for Epoxy-Amine Thermosets (2010)

ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionORIGINAL ARTICLEThis notice is a correctionReversibly Cross-Linked Polymer Gels as Healing Agents for Epoxy-Amine ThermosetsAmy M. Peterson, Robert E. Jensen, and Guiseppe R. Palmese*Cite this: ACS Appl. Mater. Interfaces 2010, 2, 7, 2170Publication Date (Web):June 24, 2010Publication History Published online24 June 2010Published inissue 28 July 2010https://doi.org/10.1021/am100507cCopyright © 2010 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views573Altmetric-Citations2LEARN 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 InReddit PDF (37 KB) Get e-AlertsSUBJECTS:Macromolecules,Plastics,Polymers Get e-Alerts
Preparation and Electrical properties of SrBi<SUB>2</SUB>Ta<SUB>2</SUB>O<SUB>9</SUB> ferroelectric capacitors using SrRuO<SUB>3</SUB> top electrodes (2002)

The hydrogen barrier effect of SrRuO3(SRO) top electrode in SrBi2Ta2O9(SBT) ferroelectric capacitors was investigated. Both the SRO(270nm) and SBT(250nm) thin films were prepared by pulsed laser deposition. The remnant polarization of SRO/SBT/Pt capacitor was kept to be 8 μ C/cm2 after 3%H2/He treatment even at 400°C for 10min. Moreover, after annealing at 200°C for 10min in 3%H2, the remnant polarization during 1010 switching cycles was nearly constant. These results indicate that the SRO top electrode works as a hydrogen barrier. In case of Pt/SBT/Pt capacitor, x-ray diffraction peaks of SBT thin films disappeared after the H2 treatment even at 200°C for 20 hours. On the other hard, deffraction peak intensities of both SRO and SBT thin films in SRO/SBT/Pt capacitor remained the same after H2 treatment. The SRO top electrode is very attractive for highly integrated ferroelectrice nonvolatile memory applications.
Experimental Verification of Complex-Valued Artificial Neural Network for Nonlinear Equalization in Coherent Optical Communication Systems (2021)

We propose a novel design of neural networks for mitigating the fiber nonlinearity, employing a structure based on physical modeling. The neural network achieved nearly 5 times BER reduction in field trial when transmitting WDM 200G DP-16QAM over a 612 km legacy link.
Adipolin/C1qdc2/CTRP12 Protein Functions as an Adipokine That Improves Glucose Metabolism (2011)

Obesity is a major risk factor for the development of insulin resistance and type 2 diabetes. Adipose tissue secretes various bioactive molecules, referred to as adipokines, whose dysregulation can mediate changes in glucose homeostasis and inflammatory responses. Here, we identify C1qdc2/CTRP12 as an insulin-sensitizing adipokine that is abundantly expressed by fat tissues and designate this adipokine as adipolin (adipose-derived insulin-sensitizing factor). Adipolin expression in adipose tissue and plasma was reduced in rodent models of obesity. Adipolin expression was also decreased in cultured 3T3-L1 adipocytes by treatment with inducers of endoplasmic reticulum stress and inflammation. Systemic administration of adipolin ameliorated glucose intolerance and insulin resistance in diet-induced obese mice. Adipolin administration also reduced macrophage accumulation and proinflammatory gene expression in the adipose tissue of obese mice. Conditioned medium from adipolin-expressing cells diminished the expression of proinflammatory cytokines in response to stimulation with LPS or TNFα in cultured macrophages. These data suggest that adipolin functions as an anti-inflammatory adipokine that exerts beneficial actions on glucose metabolism. Therefore, adipolin represents a new target molecule for the treatment of insulin resistance and diabetes.
Multiple Antigen Peptide Vaccines againstPlasmodium falciparumMalaria (2010)

The multiple antigen peptide (MAP) approach is an effective method to chemically synthesize and deliver multiple T-cell and B-cell epitopes as the constituents of a single immunogen. Here we report on the design, chemical synthesis, and immunogenicity of three Plasmodium falciparum MAP vaccines that incorporated antigenic epitopes from the sporozoite, liver, and blood stages of the life cycle. Antibody and cellular responses were determined in three inbred (C57BL/6, BALB/c, and A/J) strains, one congenic (HLA-A2 on the C57BL/6 background) strain, and one outbred strain (CD1) of mice. All three MAPs were immunogenic and induced both antibody and cellular responses, albeit in a somewhat genetically restricted manner. Antibodies against MAP-1, MAP-2, and MAP-3 had an antiparasite effect that was also dependent on the mouse major histocompatibility complex background. Anti-MAP-1 (CSP-based) antibodies blocked the invasion of HepG2 liver cells by P. falciparum sporozoites (highest, 95.16% in HLA-A2 C57BL/6; lowest, 11.21% in BALB/c). Furthermore, antibodies generated following immunizations with the MAP-2 (PfCSP, PfLSA-1, PfMSP-1(42), and PfMSP-3b) and MAP-3 (PfRAP-1, PfRAP-2, PfSERA, and PfMSP-1(42)) vaccines were able to reduce the growth of blood stage parasites in erythrocyte cultures to various degrees. Thus, MAP-based vaccines remain a viable option to induce effective antibody and cellular responses. These results warrant further development and preclinical and clinical testing of the next generation of candidate MAP vaccines that are based on the conserved protective epitopes from Plasmodium antigens that are widely recognized by populations of divergent HLA types from around the world.
Surface plasmon resonance imaging-based optoelectronic nose: fundamental study on the effects of temperature and humidity (2020)

The sensitive, selective and real-time detection of odors, in the form of volatile organic compounds (VOCs), remains an important challenge in modern science. As a result, in the field of artificial olfaction, subsequent advances in sensor technologies have given rise to a variety of gas sensors spanning to address a large plethora of applications such as medical diagnostics, quality control, environmental monitoring and etc. Currently, however, the development of electronic nose (eN) technology has garnered the most attention with its biomimetic approach of multi-sensor systems. This study focuses on such an opto-eN system, which utilises Surface Plasmon Resonance Imaging (SPRI) as its transduction technique, operating in gas phase. The immediate requirement, therein, lies on the robustness of these system, especially in their ability to produce reliable measurement during in situ/on field applications. In this regard, temperature and humidity variations, regionally and seasonally, have shown to cause the most significant impact. Their influence on the signal is integrated, with chemical and physical contributions arising from both the immobilized sensing receptors and the metallized SPRI prism, responsible for the plasmonic behavior. Accordingly, we began by optimizing the prism metallization through a complete numerical study on metal layer configurations and thickness choices. The chosen structures were then experimentally compared for optimum performance and stability. Finally, the selected Chromium/Gold (Cr/Au) prism sample was used to test the effect of humidity and temperature. The developed numerical model was demonstrated to be a useful technique, which was experimentally coupled at various temperatures to obtain a fundamental understanding of the adsorption of water on gold surfaces. We believe that the comprehension of this phenomenon and its possible implications will be transferable and thereby useful for sensors beyond the opto-eN application.
Diode Monitoring by Field Winding Axial Stray Flux in Brushless Synchronous Machines (2022)

Brushless excitation system is one of the most used, mainly due to the reduced maintenance, thanks to the absence of slip rings and brushes. The field current of the synchronous machine is supplied by a rotating diode bridge, which is fed from an auxiliary machine called exciter. The ripple of the field current is produced by the diodes. It has a dominant frequency which depends on the diode bridge pulses and the rated frequency of the exciter. This operation conditions can be dangerous for the exciter in case of long-time operation. In this paper the supervision of the rotating diodes is performed through the analysis of the axial stray flux of the field windings. Numerous experimental tests have been carried out in a brushless synchronous machine at healthy conditions and with one open diode with satisfactory results.
Expression pattern of squamous cell carcinoma antigen in oesophageal dysplasia and squamous cell carcinoma. (2007)

The aim of the present study was to evaluate the tissue expression of squamous cell carcinoma antigen (SCCA) in oesophageal dysplasia and squamous cell carcinoma (SCC) with reference to its clinico-pathologic and prognostic significance. Immunohistochemistry using SCCA polyclonal antibody was performed on SCCs from 61 surgical oesophagectomies. Fifteen cases of low-grade dysplasia (LGD) and 37 non-coexistent high-grade dysplasia (HGD) were also sampled from these materials, together with sixteen chronic cases of oesophagitis. SCCA immunoreactivity was present in the maturative compartments of all normal epithelia and oesophagitis. LGDs showed no SCCA immunoreactivity in the dysplastic proliferative component but only in the superficial normal layers. In 94.6% of HGDs, no SCCA immunoreactivity was detected throughout the thickness of the epithelium. In SCCs, SCCA expression higher than 25% was found in 54% of cases. SCCA positivity showed an inverse correlation with histological grade, whereas no statistically significant correlation was found with TNM classifications, stage, or survival. SCCA is not expressed in early oesophageal carcinogenesis but, in SCC, it represents an indicator of histologic differentiation. In differentiated SCC, SCCA may represent a negative factor for cancer invasiveness, through inhibition of proteases.
Deep learning-based detector row upsampling for clinical spiral CT (2022)

Due to longitudinal undersampling multislice spiral computed tomography (MSCT) scans may suffer from windmill artifacts in reconstructed images. To fulfill the sampling condition and achieve double sampling in z-direction, some CT scanners use the z-flying focal spot (zFFS) technique, a hardware-based solution that effectively doubles the number of detector rows. To obtain a software-based solution we developed a convolutional neural network that is trained in a supervised manner with clinical projection raw data that were acquired with zFFS enabled. We presented this approach as the row interpolation with deep learning (RIDL) network. In this work we simplified the network architecture, extended the clinical dataset and generated an experimental synthetic dataset consisting of two-dimensional projection data. We were able to observe a reduction in windmill artifacts for both datasets used for training. Especially the synthetic dataset is very promising as we could observe a superior reduction of artifacts with this dataset.
MATISSE status report and science forecast (2014)

MATISSE is the mid-infrared spectrograph and imager for the Very Large Telescope Interferometer (VLTI) at Paranal. This second generation interferometry instrument will open new avenues in the exploration of our Universe. Mid-infrared interferometry with MATISSE will allow significant advances in various fundamental research fields: studies of disks around young stellar objects where planets form and evolve, surface structures and mass loss of stars in late evolutionary stages, and the environments of black holes in active galactic nuclei. MATISSE is a unique instrument. As a first breakthrough it will enlarge the spectral domain used by optical interferometry by offering the L &amp; M bands in addition to the N band, opening a wide wavelength domain, ranging from 2.8 to 13 μm on angular scales of 3 mas (L/M band) / 10 mas (N band). As a second breakthrough, it will allow mid-infrared imaging – closure-phase aperture-synthesis imaging – with up to four Unit Telescopes (UT) or Auxiliary Telescopes (AT) of the VLTI. MATISSE will offer various ranges of spectral resolution between R~30 to ~5000. In this article, we present some of the main science objectives that have driven the instrument design. We introduce the physical concept of MATISSE including a description of the signal on the detectors and an evaluation of the expected performance and discuss the project status. The operations concept will be detailed in a more specific future article, illustrating the observing templates operating the instrument, the data reduction and analysis, and the image reconstruction software.
Learning to Dress 3D People in Generative Clothing (2020)

Three-dimensional human body models are widely used in the analysis of human pose and motion. Existing models, however, are learned from minimally-clothed 3D scans and thus do not generalize to the complexity of dressed people in common images and videos. Additionally, current models lack the expressive power needed to represent the complex non-linear geometry of pose-dependent clothing shapes. To address this, we learn a generative 3D mesh model of clothed people from 3D scans with varying pose and clothing. Specifically, we train a conditional Mesh-VAE-GAN to learn the clothing deformation from the SMPL body model, making clothing an additional term in SMPL. Our model is conditioned on both pose and clothing type, giving the ability to draw samples of clothing to dress different body shapes in a variety of styles and poses. To preserve wrinkle detail, our Mesh-VAE-GAN extends patchwise discriminators to 3D meshes. Our model, named CAPE, represents global shape and fine local structure, effectively extending the SMPL body model to clothing. To our knowledge, this is the first generative model that directly dresses 3D human body meshes and generalizes to different poses. The model, code and data are available for research purposes at https://cape.is.tue.mpg.de.
Antigenic structures recognized by T cells (1988)

Department of Internal Medicine, Division of Hematology-Oncology, University of Michigan Medical School, Ann Arbor, Michigan 48109 and the *Molecular Immunogenetics and Vaccine Research Section, Metabolism Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
Dependence of optically preamplified receiver sensitivity on optical and electrical filter bandwidths-measurement and simulation (2002)

In this letter, we investigate both experimentally and by means of simulations, the dependence of receiver sensitivity on the optical filter bandwidth as well as on the bandwidth of the detection electronics for the optical noise limited direct detection case. The experiment is in good agreement with simulations employing advanced Gaussian noise statistics. Bandwidth optimization is performed both for nonreturn-to-zero and return-to-zero coded signals, yielding a measured sensitivity only 1.4 dB off the quantum limit at a data rate of 10 Gb/s.
Effect of carrier density on the surface morphology and optical properties of nanoporous GaN prepared by UV assisted electrochemical etching (2007)

Nanoporous GaN samples were prepared by UV-assisted electrochemical etching of Si-doped GaN using the HF-based electrolyte. The Si doping density in the as-grown GaN samples was varied from 1×1016to1×1019cm−3. The surface morphology and optical quality of these nanoporous GaN films are controlled by the doping density in the as-grown films. The scanning electron microscopy results reveal that the average pore size can be tuned from 100to45nm by increasing the carrier density in the as-grown GaN films from 1×1016to1×1019cm−3. Photoluminescence (PL) measurements indicate that the nanoporous GaN films exhibit a higher PL intensity with redshifted band-edge PL peak compared to the as-grown GaN films. The nanoporous GaN prepared from highly doped sample gives highest PL intensity and stress relaxation due to the presence of smallest size nanopores. The redshift of the E2(high) phonon mode in the Raman spectra of nanoporous GaN prepared from heavily Si-doped samples shows a significant relaxation of the compressive stress.
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization (2003)

Neural networks and Kriging method are compared for constructing fitness approximation models in evolutionary optimization algorithms. The two models are applied in an identical framework to the optimization of a number of well known test functions. In addition, two different ways of training the approximators are evaluated: in one setting the models are built off-line using data from previous optimization runs and in the other setting the models are built online from the data available from the current optimization.
AC-Electroluminescent Device Having a ZnS:Mn Single Crystal Phosphor Layer (1985)

A ZnS:Mn single crystal phosphor layer is prepared on a Si(111) substrate by EB-evaporation. AC-Electroluminescent (EL) cells having this ZnS:Mn single crystal phosphor layer have been shown to have a lower threshold voltage than AC-EL cells having a polycrystal phosphor layer on glass. The decrease in threshold voltage is considered to be due to the longer electron mean-free path.
IMMUNO-COV™ v2.0: Development and Validation of a High-Throughput Clinical Assay for Measuring SARS-CoV-2-Neutralizing Antibody Titers (2021)

ABSTRACT Neutralizing antibodies are key determinants of protection from future infection, yet well-validated high-throughput assays for measuring titers of SARS-CoV-2-neutralizing antibodies are not generally available. Here we describe the development and validation of IMMUNO-COV™ v2.0 a scalable surrogate virus assay, which titrates antibodies that block infection of Vero-ACE2 cells by a luciferase-encoding vesicular stomatitis virus displaying SARS-CoV-2 spike glycoproteins (VSV-SARS2-Fluc). Antibody titers, calculated using a standard curve consisting of stepped concentrations of SARS-CoV-2 spike monoclonal antibody, correlated closely (p &lt; 0.0001) with titers obtained from a gold-standard PRNT50% assay performed using a clinical isolate of SARS-CoV-2. IMMUNO-COV™ v2.0 was comprehensively validated using data acquired from 242 assay runs performed over seven days by five analysts, utilizing two separate virus lots, and 176 blood samples. Assay performance was acceptable for clinical use in human serum and plasma based on parameters including linearity, dynamic range, limit of blank and limit of detection, dilutional linearity and parallelism, precision, clinical agreement, matrix equivalence, clinical specificity and sensitivity, and robustness. Sufficient VSV-SARS2-Fluc virus reagent has been banked to test 5 million clinical samples. Notably, a significant drop in IMMUNO-COV™ v2.0 neutralizing antibody titers was observed over a six-month period in people recovered from SARS-CoV-2 infection. Together, our results demonstrate the feasibility and utility of IMMUNO-COV™ v2.0 for measuring SARS-CoV-2-neutralizing antibodies in vaccinated individuals and those recovering from natural infections. Such monitoring can be used to better understand what levels of neutralizing antibodies are required for protection from SARS-CoV-2, and what booster dosing schedules are needed to sustain vaccine-induced immunity.