gebhart/patrepeval huggingface dataset:
A Novel Electroactive Polyelectrolyte with Alternating Seleno- and Selenoniophenylene Units (1999)

ADVERTISEMENT RETURN TO ISSUEPREVCommunication to the...Communication to the EditorNEXTA Novel Electroactive Polyelectrolyte with Alternating Seleno- and Selenoniophenylene UnitsKenji Miyatake, Tadahiro Ishikawa, and Eishun TsuchidaView Author Information Department of Polymer Chemistry, Advanced Research Institute for Science and Engineering, Waseda University, Tokyo 169-8555, Japan Cite this: Macromolecules 1999, 32, 13, 4497–4499Publication Date (Web):June 10, 1999Publication History Received22 February 1999Revised21 April 1999Published online10 June 1999Published inissue 1 June 1999https://doi.org/10.1021/ma9902596Copyright © 1999 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views150Altmetric-Citations5LEARN 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 Read OnlinePDF (52 KB) Get e-AlertscloseSUBJECTS:Aromatic compounds,Electrical conductivity,Hydrocarbons,Polymers,Selenides Get e-Alerts
Liquid biopsy using the nanotube-CTC-chip: capture of invasive CTCs with high purity using preferential adherence in breast cancer patients (2019)

In this paper, we report the development of the nanotube-CTC-chip for isolation of tumor-derived epithelial cells (circulating tumor cells, CTCs) from peripheral blood, with high purity, by exploiting the physical mechanisms of preferential adherence of CTCs on a nanotube surface. The nanotube-CTC-chip is a new 76-element microarray technology that combines carbon nanotube surfaces with microarray batch manufacturing techniques for the capture and isolation of tumor-derived epithelial cells. Using a combination of red blood cell (RBC) lysis and preferential adherence, we demonstrate the capture and enrichment of CTCs with a 5-log reduction of contaminating WBCs. EpCAM negative MDA-MB-231/luciferase-2A-green fluorescent protein (GFP) cells were spiked in the blood of wild mice and enriched using an RBC lysis protocol. The enriched samples were then processed using the nanotube-CTC-chip for preferential CTC adherence on the nanosurface and counting the GFP cells yielded anywhere from 89% to 100% capture from the droplets. Electron microscopy (EM) studies showed focal adhesion with filaments from the cell body to the nanotube surface. We compared the nanotube preferential adherence to collagen adhesion matrix (CAM) scaffolding, reported as a viable strategy for CTC capture in patients. The CAM scaffolding on the device surface yielded 50% adherence with 100% tracking of cancer cells (adhered vs. non-adhered) versus carbon nanotubes with >90% adherence and 100% tracking for the same protocol. The nanotube-CTC-chip successfully captured CTCs in the peripheral blood of breast cancer patients (stage 1-4) with a range of 4-238 CTCs per 8.5 ml blood or 0.5-28 CTCs per ml. CTCs (based on CK8/18, Her2, EGFR) were successfully identified in 7/7 breast cancer patients, and no CTCs were captured in healthy controls (n = 2). CTC enumeration based on multiple markers using the nanotube-CTC-chip enables dynamic views of metastatic progression and could potentially have predictive capabilities for diagnosis and treatment response.
Achieving Target MTTF by Duplicating Reliability-Critical Components in High Performance Computing Systems (2011)

Mean Time To failure, MTTF, is a commonly accepted metric for reliability. In this paper we present a novel approach to achieve the desired MTTF with minimum redundancy. We analyze the failure behavior of large scale systems using failure logs collected by Los Alamos National Laboratory. We analyze the root cause of failures and present a choice of specific hardware and software components to be made fault-tolerant, through duplication, to achieve target MTTF at minimum expense. Not all components show similar failure behavior in the systems. Our objective, therefore, was to arrive at an ordering of components to be incrementally selected for protection to achieve a target MTTF. We propose a model for MTTF for tolerating failures in a specific component, system-wide, and order components according to the coverage provided. Systems grouped based on hardware configuration showed similar improvements in MTTF when different components in them were targeted for fault-tolerance.
SMB chromatography design using profile advancement factors, miniplant data, and rate‐based process simulation (2009)

Abstract This article describes a systematic miniplant‐based approach to rapid development of simulated moving bed (SMB) chromatography applications. The methodology involves analysis of single‐column pulse tests to screen adsorbents and operating conditions and to determine initial values of profile advancement factors used to specify flow rates for an initial SMB miniplant experiment. A lumped‐parameter linear driving force rate‐based model is developed by fitting process data from a single miniplant run. The data are fit in a two‐step procedure involving initial determination of effective adsorption isotherm constants as best‐fit parameters with subsequent adjustment of calculated mass transfer coefficients to refine the data fit. The resulting simulation is used to guide further miniplant work and minimize experimental effort. The methodology is illustrated with miniplant data for a binary protein separation showing excellent agreement between model results and process data generated over a wide range of operating conditions. © 2009 American Institute of Chemical Engineers AIChE J, 2009
Electron performance measurements with the ATLAS detector using the 2010 LHC proton-proton collision data (2012)

Detailed measurements of the electron performance of the ATLAS detector at the LHC are reported, using decays of the Z, W and J / particles. Data collected in 2010 at s = 7 TeV are used, corresponding to an integrated luminosity of almost 40 pb -1 . The inter-alignment of the inner detector and the electromagnetic calorimeter, the determination of the electron energy scale and resolution, and the performance in terms of response uniformity and linearity are discussed. The electron identification, reconstruction and trigger efficiencies, as well as the charge misidentification probability, are also presented.
Generation of iPSCs as a Pooled Culture Using Magnetic Activated Cell Sorting of Newly Reprogrammed Cells (2015)

Although significant advancement has been made in the induced pluripotent stem cell (iPSC) field, current methods for iPSC derivation are labor intensive and costly. These methods involve manual selection, expansion, and characterization of multiple clones for each reprogrammed cell sample and therefore significantly hampers the feasibility of studies where a large number of iPSCs need to be derived. To develop higher throughput iPSC reprogramming methods, we generated iPSCs as a pooled culture using rigorous cell surface pluripotent marker selection with TRA-1-60 or SSEA4 antibodies followed by Magnetic Activated Cell Sorting (MACS). We observed that pool-selected cells are similar or identical to clonally derived iPSC lines from the same donor by all criteria examined, including stable expression of endogenous pluripotency genes, normal karyotype, loss of exogenous reprogramming factors, and in vitro spontaneous and lineage directed differentiation potential. This strategy can be generalized for iPSC generation using both integrating and non-integrating reprogramming methods. Our studies provide an attractive alternative to clonal derivation of iPSCs using rigorously selected cell pools and is amenable to automation.
Comparison of electric motor types for realising an energy efficient pumping system (2014)

Energy efficiency in pumping is partially affected by the electric motor efficiency. In addition to low losses, the chosen electric motor type should have feasible reliability and dimensions for pumping systems. This paper studies the applicability of common electric motor types to a future pumping system by comparing motor characteristics with each other; both a qualitative and quantitative evaluation is performed for a 15 kW induction, synchronous reluctance and permanent magnet synchronous motor. Another main object of this paper is to provide basic information for designing a next generation, more energy efficient pumping system.
High-Resolution Electrophysiological Assessment of Human Embryonic Stem Cell-Derived Cardiomyocytes (2002)

The goal of the present report was to establish a new in vitro model for the study of impulse propagation in human cardiac tissue. By using the human embryonic stem cell differentiating system, spontaneously contracting areas were generated in three-dimensional differentiating cell aggregates (embryoid bodies). Morphological analysis revealed an isotropic tissue of early-stage cardiac phenotype. Gap junctions, assessed by immunostaining of connexin43 and connexin45, were distributed along the cell borders. High-resolution activation maps demonstrated the presence of a functional syncytium with stable focal activation and conduction properties. Conduction was significantly slower in narrow bands of contracting tissue compared with broad cardiomyocyte regions. Establishment of this unique in vitro human model may be used for the assessment of long-term structure-function relationships, for pharmacological studies, for tissue engineering, and may permit the study of genetically modified cardiomyocytes.
Effect of a Growing-up Milk Containing Synbiotics on Immune Function and Growth in Children: A Cluster Randomized, Multicenter, Double-blind, Placebo Controlled Study (2013)

Common infectious diseases, such as diarrhea, are still the major cause of death in children under 5-years-old, particularly in developing countries. It is known that there is a close relationship between nutrition and immune function. To evaluate the effect of a growing-up milk containing synbiotics on immune function and child growth, we conducted a cluster randomized, multicenter, double-blind, placebo controlled clinical trial in children between 18 and 36 months of age in Vietnam. Eligible children from eight and seven kindergartens were randomly assigned to receive test and isocaloric/ isoproteic control milk, respectively, for 5 months. We found that the blood immunoglobulin A (IgA) level and growth parameters were increased in the test group. Compared to the control group, there was also a trend of decreased vitamin A deficiency and fewer adverse events in the test group. These data suggest that a growing-up milk containing synbiotics may be useful in supporting immune function and promoting growth in children.
A chain-type wireless sensor network for monitoring long range infrastructures (2005)

We present in this paper an investigation on a special class of wireless sensor networks for monitoring critical infrastructures that may extend for hundreds of miles in distances. Such networks are fundamentally different from traditional sensor networks in that the sensor nodes in this class of networks are deployed along narrowly elongated geographical areas and form a chain-type topology. Based on careful analysis of existing sensor network architectures, we first demonstrate the needs to develop new architecture and networking protocols to match the unique topology of chain-type sensor networks. We then propose hierarchical network architecture that consists of clusters of sensor nodes to enable the chain-type sensor networks to be scalable to cover typically long range of infrastructure with tolerable delay in network-wide data collection. To maintain energy efficient operations and maximize the lifetime for such a chain-type sensor network, we devise a smart strategy for the deployment of cluster heads. Protocols for network initialization and seamless operations of the chain-type sensor networks are also developed to match the proposed hierarchical architecture and cluster head deployment strategy. Simulations have been carried out to verify the performance of the hierarchical architecture, the smart node deployment strategy, and the corresponding network initialization and operation protocols.
A novel elastomer/liquid crystal polymer nanocomposite created in situ from controlled radical graft-polymerization (2008)

International audience
Diffraction Efficiency of High-NA Continuous-Relief Diffractive Lenses (1996)

Diffractive lenses are key elements in a large variety of optical systems. In hybrid refractive/diffractive optical systems they are used as powerful elements for aberration correction. Other applications, such as fiber coupling and optoelectronic devices, benefit from the fact that diffractive structures are thin and lightweight, enabling very compact systems. In addition, low-cost replication processes with a high profile fidelity make the use of diffractive lenses in prototype systems as well as in volume production very attractive.
[Familial dementia of the Neumann type (subcortical gliosis)]. (1985)

The case of a 70 year-old patient with familial dementia is reported. A cerebral biopsy and neurotransmitters dosages in CSF and brain tissue ruled out a primary dementia as Pick's or Alzheimer's disease. Our case may be related to Neumann's cases of subcortical gliosis.
Supplementary Table S3 from The Master Neural Transcription Factor BRN2 Is an Androgen Receptor–Suppressed Driver of Neuroendocrine Differentiation in Prostate Cancer (2023)

&lt;p&gt;Gene Profiling data of CRPC cells with BRN2 over-expression.&lt;/p&gt;
Glucosylceramide synthase inhibition reduces ganglioside GM3 accumulation, alleviates amyloid neuropathology, and stabilizes remote contextual memory in a mouse model of Alzheimer’s disease (2022)

Collectively, our results indicate that glycosphingolipids regulated by GCS are important modulators of Aβ neuropathology and that glycosphingolipid homeostasis plays a critical role in the consolidation of remote memories.
Adaptive optics for direct writing in threedimensional nano-fabrication (2010)

Aberrations affect the focal spot quality in direct laser write applications when focusing through a refractive index mismatch. We develop adaptive optics to correct aberrations and demonstrate improved fabrication depth in several substrates. (C) 2009 Optical Society of America
Dynamic null steering in an ultrawideband time-steered array antenna (1998)

We develop a method for forming squint-free wideband nulls in the antenna pattern of an ultrawideband array antenna. The technique uses an optical dispersive-prism beam former to provide time-delayed microwave signals to each antenna element for forming a squint-free main beam. The amplitude-modulated optical carrier is propagated through a set of optical links. Each link feeds an array element and includes an amount of dispersion proportional to element position. Tuning the wavelength of the optical carrier controls the microwave signal's arrival-time delay gradient across the array. A dispersive-prism tapped delay-line microwave filter is used to frequency shape a nulling signal. The wideband nulls do not significantly distort the main beam and are steered independently of the main beam. The technique is applied to sidelobe nulling for a transmitter and for jammer suppression for a receiver array.
Design of a Fluidized Bed Bioartificial Liver (2000)

The aim of this study was to design a bioreactor for extracorporeal liver supply containing alginate beads in a fluidized bed regimen. The objective was to achieve a satisfactory mixing into the bioreactor to promote the potential exchanges and mass transfers. First, we checked whether both present phases (solid: alginate beads; liquid: saline solution at 20 degrees C) might allow for this fluidization. Then the optimal design was defined as a function of the required operating conditions, bead volume, and perfusion flow rate; the bioreactor cross section and height especially needed to be adjusted. The efficient fluidization, under optimized conditions, was proven through the follow-up of the head losses generated by the fluidized bed. Criteria for scaling up were also determined.
Human Immunodeficiency Viral Vector Pseudotyped with the Spike Envelope of Severe Acute Respiratory Syndrome Coronavirus Transduces Human Airway Epithelial Cells and Dendritic Cells (2007)

The human severe acute respiratory syndrome coronavirus (SARS-CoV) is a highly infectious virus that causes severe respiratory infections in humans. The spike envelope glycoprotein of SARS-CoV, the main determinant of SARS-CoV tropism, was isolated and used to pseudotype a human immunodeficiency virus (HIV)-based vector. Spike-pseudotyped HIV vector was generated and evaluated in vitro on well-differentiated human airway epithelial cells and bronchial explants and in vivo in murine airways. The spike envelope was less efficient at promoting HIV vector transduction of murine airway epithelium than an optimized deletion mutant of the Zaire ebolavirus envelope glycoprotein (NTD6L), which was used as a benchmark. However, spike-pseudotyped HIV vector was substantially more efficient than NTD6L-pseudotyped vector on human airway epithelium as demonstrated by lacZ gene transfer in primary cultures of epithelial cells and bronchial explants. In addition, this study shows that spike-pseudotyped HIV -based vector can efficiently transduce human dendritic cells and epithelial cells of the esophagus, which may have implications in investigating mechanisms of SARS-CoV pathogenesis. Spike-pseudotyped HIV-based vector is a novel lung-directed gene transfer vehicle that holds promise for the treatment of genetic lung diseases such as cystic fibrosis or alpha(1)-antitrypsin deficiency.
A search for $ t\overline t $ resonances in lepton+jets events with highly boosted top quarks collected in pp collisions at $ \sqrt {s} = 7 $ TeV with the ATLAS detector (2012)

A bstract A search for resonant production of high-mass top-quark pairs is performed on 2.05 fb −1 of proton-proton collisions at $ \sqrt {s} = 7 $ TeV collected in 2011 with the ATLAS experiment at the Large Hadron Collider. This analysis of the lepton+jets final state is specifically designed for the particular topology that arises from the decay of highly boosted top quarks. The observed $ t\overline t $ invariant mass spectrum is found to be compatible with the Standard Model prediction and 95% credibility level upper limits are derived on the $ t\overline t $ production rate through new massive states. An upper limit of 0.7 pb is set on the production cross section times branching fraction of a narrow 1 TeV resonance. A Kaluza-Klein gluon with a mass smaller than 1 . 5 TeV is excluded.
Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data (2011)

With a wide array of multi-modal, multi-protocol, and multi-scale biomedical data available for disease diagnosis and prognosis, there is a need for quantitative tools to combine such varied channels of information, especially imaging and non-imaging data (e.g. spectroscopy, proteomics). The major problem in such quantitative data integration lies in reconciling the large spread in the range of dimensionalities and scales across the different modalities. The primary goal of quantitative data integration is to build combined meta-classifiers; however these efforts are thwarted by challenges in (1) homogeneous representation of the data channels, (2) fusing the attributes to construct an integrated feature vector, and (3) the choice of learning strategy for training the integrated classifier. In this paper, we seek to (a) define the characteristics that guide the 4 independent methods for quantitative data fusion that use the idea of a meta-space for building integrated multi-modal, multi-scale meta-classifiers, and (b) attempt to understand the key components which allowed each method to succeed. These methods include (1) Generalized Embedding Concatenation (GEC), (2) Consensus Embedding (CE), (3) Semi-Supervised Multi-Kernel Graph Embedding (SeSMiK), and (4) Boosted Embedding Combination (BEC). In order to evaluate the optimal scheme for fusing imaging and non-imaging data, we compared these 4 schemes for the problems of combining (a) multi-parametric MRI with spectroscopy for prostate cancer (CaP) diagnosis <i>in vivo</i>, and (b) histological image with proteomic signatures (obtained via mass spectrometry) for predicting prognosis in CaP patients. The kernel combination approach (SeSMiK) marginally outperformed the embedding combination schemes. Additionally, intelligent weighting of the data channels (based on their relative importance) appeared to outperform unweighted strategies. All 4 strategies easily outperformed a naïve decision fusion approach, suggesting that data integration methods will play an important role in the rapidly emerging field of integrated diagnostics and personalized healthcare.
Succinate production from sucrose by metabolic engineered escherichia coli strains under aerobic conditions (2011)

Two metabolically engineered E. coli strains HL2765k and HL27659k, while capable of producing succinate from glucose with high yields, are not able to grow and produce succinate on sucrose. Consequently, the pUR400 plasmid containing scrK, Y, A, B, and R genes was introduced into HL2765k and HL27659k, respectively. Shake flask culture studies showed that the resulting strains can utilize sucrose; the strain HL2765k pUR400 and HL27659k pUR400 can produce succinate aerobically with a molar yield of 0.78 ± 0.02 mol/mol and 1.35 ± 0.13 mol/mol, respectively. On introduction of the plasmid pHL413, which encodes the heterologous pyruvate carboxylase (PYC) from Lactococcus lactis, the molar succinate yield increased to 1.60 ± 0.01 mol of succinate per mole of sucrose by the HL2765k pUR400 pHL413 strain and to 1.84 ± 0.10 by the HL27659k pUR400 pHL413 strain. In aerobic batch bioreactor studies, the succinate production rate was faster, and succinate production reached 101.83 mM with a yield of 1.90 when dissolved oxygen (DO) was controlled at 40 ± 7%. In addition, the results showed that DO had an important effect on succinate production by influencing PYC activity. This work demonstrates the possibility of producing succinate aerobically using sucrose as the carbon source.