gebhart/patrepeval huggingface dataset:
The MHC class I-related FcRn ameliorates murine Lyme arthritis (2006)

The identification of the neonatal FcR (FcRn) as an IgG homeostasis regulator has led to research aimed at delineating a role for FcRn in humorally mediated disease. FcRn is a class I-related molecule that prolongs the half-life of serum IgG by preferentially binding IgG at low pH and inhibiting its degradation. Its role in protective immunity to infectious organisms is unknown. We investigated the function of FcRn in the murine model of Lyme arthritis, caused by infection with Borrelia burgdorferi. We infected FcRn(-/-) and wild-type mice with B. burgdorferi and monitored the development of arthritis. Infected FcRn(-/-) mice demonstrated decreased serum levels of anti-B. burgdorferi antibodies and borreliacidal activity. Moreover, these mutant mice developed increased ankle swelling and joint histopathology following infection. Our data suggest that FcRn ameliorates murine Lyme arthritis by preventing the degradation of protective borreliacidal antibodies.
ChemInform Abstract: 1,2‐Diarylpyrroles as Potent and Selective Inhibitors of Cyclooxygenase‐2. (1997)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Leveraging SDN to streamline metro network operations (2016)

The confluence of two recent technological trends - the maturation of ROADM technology and the rise of SDN - has produced the perfect opportunity to streamline carrier metro network operations through the use of automation. This article introduces readers to the carrier metro network and describes the challenges of automating carrier metro network operations. To this end, we illustrate both the inherent complexity of today's metro network and the legacy processes that have been put in place to manage this complexity. Our discussion covers the essential details regarding current practices in metro network operation, and touches on the economic and technical factors that have contributed to these processes remaining in place for so long. We explain how the application of lean methodology can streamline and automate metro network processes - enabling carriers to reduce work in progress, thereby simultaneously decreasing both operational expenditures and time to market.
Using Virtualization to Prepare Your Data Center for "Real-Time Assurance of Business Continuity" (2010)

This paper describes our experience using the dynamic resource reallocation capabilities offered by virtualization technologies, in implementing: 1. Automation of end-to-end failover of mission critical virtualized application, a SAN network and EMC Clarion based storage to a remote site and 2. On-demand and scheduled assurance of failover and measurement of RPO and RTO (The Recovery Point Objective (RPO) is the point in time to which you must recover data as dictated by business needs. Recovery Time Objective (RTO) is the period of time after an outage in which the application and its data must be restored to a predetermined state defined by RPO.) By creating an application to spindle resource utilization profile through various management systems, and utilizing a combination of server, network- and storage-virtualization technologies, application specific RTO and RPO objectives (defined based on workload profiles and business priorities) are met in a technology agnostic and multi-vendor environment.
Supplementary Figure 1 from Characterization of CD33/CD3 Tetravalent Bispecific Tandem Diabodies (TandAbs) for the Treatment of Acute Myeloid Leukemia (2023)

&lt;p&gt;Flow cytometry analysis of for AML cell cytotoxicity determinations. Flow cytometry analysis of cells from one healthy donor T-cell aliquot and one representative AML cell line (HL- 60) and primary AML specimen (AMP002) illustrating the strategy pursued to determine antibody-induced cytotoxicity.&lt;/p&gt;
Hyperspectral Anomaly Detection With Guided Autoencoder (2022)

Recently, autoencoder-based hyperspectral anomaly detection methods have demonstrated excellent performance on hyperspectral images (HSIs). The autoencoder (AE) can simultaneously reconstruct both the anomaly targets and background, but the lack of prior information limits ability to detect anomalies. This study proposes a novel hyperspectral anomaly detection method based on a guided AE to reduce the feature representation for anomaly targets. First, a multi-layer AE network with skip connections is proposed to fully extract the abundant latent features from HSIs and enhance the expressive ability of the network. The reconstructed HSI can be obtained by the proposed AE network. Second, to suppress anomaly targets in the obtained reconstructed HSI and better represent background features, a guided module based on a guided image is added to the network to reduce the feature representation of anomaly targets by providing feedback information. Moreover, the guided image is calculated using a proposed spectral similarity method that uses the local spatial features of the HSI. Finally, we use the reconstruction error as a performance metric and compare the results of our proposed method with other state-of-the-art methods on six real-world HSIs. The results demonstrate the effectiveness and superiority of the proposed method.
W98616, a white-seeded spring wheat with increased preharvest sprouting (2002)

White-seeded spring wheat germplasm line W98616 was selected for improved levels of preharvest sprouting resistance. W98616 has levels of seed dormancy comparable to Columbus, a red-seeded sprouting-resistant cultivar. W98616 has similar test weight, kernel weight, maturity, plant height, grain protein, and kernel hardness, but is lower yielding and 2 d later heading relative to BW264, a hard white wheat cultivar. Key words: Triticum aestivum L., germplasm, white spring wheat, preharvest sprouting resistance
Potent S1P Receptor Agonists Replicate the Pharmacologic Actions of the Novel Immune Modulator FTY720. (2004)

Abstract For Abstract see ChemInform Abstract in Full Text.
Benzamidine derivatives inhibit the virulence of Porphyromonas gingivalis (2012)

We have previously shown that benzamidine-type compounds can inhibit the activity of arginine-specific cysteine proteinases (gingipains HRgpA and RgpB); well-known virulence factors of Porphyromonas gingivalis. They also hinder in vitro growth of this important periodontopathogenic bacterium. Apparently growth arrest is not associated with their ability to inhibit these proteases, because pentamidine, which is a 20-fold less efficient inhibitor of gingipain than 2,6-bis-(4-amidinobenzyl)-cyclohexanone (ACH), blocked P. gingivalis growth far more effectively. To identify targets for benzamidine-derived compounds other than Arg-gingipains, and to explain their bacteriostatic effects, P. gingivalis ATCC 33277 and P. gingivalis M5-1-2 (clinical isolate) cell extracts were subjected to affinity chromatography using a benzamidine-Sepharose column to identify proteins interacting with benzamidine. In addition to HRgpA and RgpB the analysis revealed heat-shock protein GroEL as another ligand for benzamidine. To better understand the effect of benzamidine-derived compounds on P. gingivalis, bacteria were exposed to benzamidine, pentamidine, ACH and heat, and the expression of gingipains and GroEL was determined. Exposure to heat and benzamidine-derived compounds caused significant increases in GroEL, at both the mRNA and protein levels. Interestingly, despite the fact that gingipains were shown to be the main virulence factors in a fertilized egg model of infection, mortality rates were strongly reduced, not only by ACH, but also by pentamidine, a relatively weak gingipain inhibitor. This effect may depend not only on gingipain inhibition but also on interaction of benzamidine derivatives with GroEL. Therefore these compounds may find use in supportive periodontitis treatment.
The effect of well-dispersed nanoclay on isothermal and non-isothermal crystallization kinetics of PHB/LDPE blends (2018)

The crystallization kinetics of PHB/LDPE blends and their nanocomposites containing different LDPE and organoclay loadings was investigated using DSC. Nanoclay localization in the PHB phase was determined by XRD and confirmed by rheological measurements and TEM. The rate and other kinetic parameters for crystallization were investigated using theoretical models, such as Avrami, Liu–Mo and Friedman. The effect of nanoclay on the first stage of crystallization was explored, based on Dubreva's nucleation activity analysis. The Friedman model results showed that incorporation of either nanoclay or LDPE would increase the PHB activation energy of crystallization through two different mechanisms, namely increasing the viscosity and nuclei migration, respectively. Interestingly, the activation energy of PHB/LDPE nanocomposites was not as high as that of PHB/LDPE binary blends. This finding was also observed in isothermal and non-isothermal kinetics studies and could be explained by nuclei transfer from the PHB phase to the melt phase. According to Avrami exponent values, neither Cloisite 10A nor LDPE changed the nucleation mechanism of PHB. Incoroporation of LDPE successfully reduces rigid amorphous amount.
Algorithm for tissue ischemia estimation based on electrical impedance spectroscopy (2003)

The purpose of this paper is to present an algorithm developed for real-time estimation of skeletal muscle ischemia, based on parameters extracted from in vivo obtained electrical impedance spectra. A custom impedance spectrometer was used to acquire data sets: complex impedance spectra measured at 27 frequencies in the range of 100 Hz-1 MHz, and tissue pH. Twenty-nine in vivo animal studies on rabbit anterior tibialis muscle were performed to gather data on the behavior of tissue impedance during ischemia. An artificial neural network (ANN) was used to quantitatively describe the relationship between the parameters of complex tissue impedance spectra and tissue ischemia via pH. The ANN was trained on 1249, and tested on 946 ischemic tissue impedance data sets. A correlation of 94.5% and a standard deviation of 0.15 pH units was achieved between the ANN estimated pH and measured tissue pH values.
Rotational conformation of the phenyl moiety in geminally substituted phenylcyclohexanes with equatorial phenyl (1985)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTRotational conformation of the phenyl moiety in geminally substituted phenylcyclohexanes with equatorial phenylDerek J. Hodgson, Urszula Rychlewska, Ernest L. Eliel, Muthiah Manoharan, David E. Knox, and Edward M. OlefirowiczCite this: J. Org. Chem. 1985, 50, 24, 4838–4843Publication Date (Print):November 1, 1985Publication History Published online1 May 2002Published inissue 1 November 1985https://pubs.acs.org/doi/10.1021/jo00224a037https://doi.org/10.1021/jo00224a037research-articleACS PublicationsRequest reuse permissionsArticle Views582Altmetric-Citations26LEARN 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
Forward behavioral modeling of concurrent dual-band power amplifiers using extended real valued time delay neural networks (2012)

The distortions induced by inter-modulations and cross-modulations in concurrent dual-band power amplifiers (PAs) are evidenced and characterized using multi-tone signals. Given the presence of cross-modulations, a comprehensive extended real-valued time-delay neural network (extended-RVTDNN) is proposed to model the nonlinear behavior of concurrent dual-band Pas. Two three-carrier WCDMA signals are applied to a dual-band Doherty PA prototype for modeling verification. The experimental results show that the proposed model approximates the PA with normalized mean square errors (NMSEs) of -38.48dB and -35.42dB in the lower and upper bands, respectively. Compared with the conventional single-band RVTDNN, this new method achieves an improvement in accuracy of more than 10dB.
A 45 nm Resilient Microprocessor Core for Dynamic Variation Tolerance (2010)

A 45 nm microprocessor core integrates resilient error-detection and recovery circuits to mitigate the clock frequency (F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CLK</sub> ) guardbands for dynamic parameter variations to improve throughput and energy efficiency. The core supports two distinct error-detection designs, allowing a direct comparison of the relative trade-offs. The first design embeds error-detection sequential (EDS) circuits in critical paths to detect late timing transitions. In addition to reducing the Fclk guardbands for dynamic variations, the embedded EDS design can exploit path-activation rates to operate the microprocessor faster than infrequently-activated critical paths. The second error-detection design offers a less-intrusive approach for dynamic timing-error detection by placing a tunable replica circuit (TRC) per pipeline stage to monitor worst-case delays. Although the TRCs require a delay guardband to ensure the TRC delay is always slower than critical-path delays, the TRC design captures most of the benefits from the embedded EDS design with less implementation overhead. Furthermore, while core min-delay constraints limit the potential benefits of the embedded EDS design, a salient advantage of the TRC design is the ability to detect a wider range of dynamic delay variation, as demonstrated through low supply voltage (V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CC</sub> ) measurements. Both error-detection designs interface with error-recovery techniques, enabling the detection and correction of timing errors from fast-changing variations such as high-frequency V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CC</sub> droops. The microprocessor core also supports two separate error-recovery techniques to guarantee correct execution even if dynamic variations persist. The first technique requires clock control to replay errant instructions at 1/2F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CLK</sub> . In comparison, the second technique is a new multiple-issue instruction replay design that corrects errant instructions with a lower performance penalty and without requiring clock control. Silicon measurements demonstrate that resilient circuits enable a 41% throughput gain at equal energy or a 22% energy reduction at equal throughput, as compared to a conventional design when executing a benchmark program with a 10% V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CC</sub> droop. In addition, the microprocessor includes a new adaptive clock control circuit that interfaces with the resilient circuits and a phase-locked loop (PLL) to track recovery cycles and adapt to persistent errors by dynamically changing Fclk f°Γ maximum efficiency.
Circulating Fluidized Bed Design Approach Comparison (2000)

The paper provides an annual update of the latest experience with commercially operating B&W IR-CFB boilers. Addition- ally, this paper presents a technical comparison of CFB boiler solids separation designs. A number of case studies are analyzed for different boiler capacities and fuel types, for both greenfield and retrofit applications.
Artificial Intelligence for 5G+, Edge Compute, and Internet of Things (2018)

Artificial intelligence (AI) is not only an interesting technology for improving accuracy and prediction on a variety of problems, but it is ultimately required to be used to extract intelligence from the enormous amount of data produced on modern-day networks. The latest incarnation of International Telecommunications Union (ITU) requirements are for the year 2020, called IMT-2020, which defines the user desired requirements for 5G, for which 3rd Generation Partnership Project (3GPP) is developing the technical specifications. New radio (NR) technologies, increased spectrum bandwidth, network function virtualization (NFV), software-defined network (SDN), flexible network architecture, edge computing and AI-based network management, and optimization are key enablers for 5G. Edge computing capability is required to support low-latency use cases, such as self-driving cars, e-Health, and immersive experiences. 5G wireless and Internet of Things (IoT) will reshape networks and network traffic in even more unpredictable ways in future.
Rapid Prototyping of Nanofluidic Systems Using Size‐Reduced Electrospun Nanofibers for Biomolecular Analysis (2010)

Biomolecular transport in nanofluidic confinement offers various means to investigate the behavior of biomolecules in their native aqueous environments, and to develop tools for diverse single-molecule manipulations. Recently, a number of simple nanofluidic fabrication techniques has been demonstrated that utilize electrospun nanofibers as a backbone structure. These techniques are limited by the arbitrary dimension of the resulting nanochannels due to the random nature of electrospinning. Here, a new method for fabricating nanofluidic systems from size-reduced electrospun nanofibers is reported and demonstrated. As it is demonstrated, this method uses the scanned electrospinning technique for generation of oriented sacrificial nanofibers and exposes these nanofibers to harsh, but isotropic etching/heating environments to reduce their cross-sectional dimension. The creation of various nanofluidic systems as small as 20 nm is demonstrated, and practical examples of single biomolecular handling, such as DNA elongation in nanochannels and fluorescence correlation spectroscopic analysis of biomolecules passing through nanochannels, are provided.
Mammalian Protein-Protein Interaction Trap (MAPPIT) Analysis of STAT5, CIS, and SOCS2 Interactions with the Growth Hormone Receptor (2007)

Binding of GH to its receptor induces rapid phosphorylation of conserved tyrosine motifs that function as recruitment sites for downstream signaling molecules. Using mammalian protein-protein interaction trap (MAPPIT), a mammalian two-hybrid method, we mapped the binding sites in the GH receptor for signal transducer and activator of transcription 5 (STAT5) a and b and for the negative regulators of cytokine signaling cytokine-inducible Src-homology 2 (SH2)-containing protein (CIS) and suppressor of cytokine signaling 2 (SOCS2). Y534, Y566, and Y627 are the major recruitment sites for STAT5. A non-overlapping recruitment pattern is observed for SOCS2 and CIS with positions Y487 and Y595 as major binding sites, ruling out SOCS-mediated inhibition of STAT5 activation by competition for shared binding sites. More detailed analysis revealed that CIS binding to the Y595, but not to the Y487 motif, depends on both its SH2 domain and the C-terminal part of its SOCS box, with a critical role for the CIS Y253 residue. This functional divergence of the two CIS/SOCS2 recruitment sites is also observed upon substitution of the Y+1 residue by leucine, turning the Y487, but not the Y595 motif into a functional STAT5 recruitment site.
Predictors of Functional and Anatomic Outcomes in Patients with Diabetic Macular Edema Treated with Ranibizumab (2015)

Patients with DME and submacular fluid, intraretinal cysts, severe thickening, or renal disease respond poorly when untreated and respond well to ranibizumab treatment. Elimination of submacular fluid, intraretinal cysts, and severe thickening are important goals of DME treatment, and in patients with renal disease, treatment should be very aggressive, with a goal of eliminating all macular fluid.
Elevated Temperature Photophysical Properties and Morphological Stability of CdSe and CdSe/CdS Nanoplatelets (2017)

Elevated temperature optoelectronic performance of semiconductor nanomaterials remains an important issue for applications. Here we examine 2D CdSe nanoplatelets (NPs) and CdS/CdSe/CdS shell/core/shell sandwich NPs at temperatures ranging from 300 to 700 K using static and transient spectroscopies as well as in situ transmission electron microscopy. NPs exhibit reversible changes in PL intensity, spectral position, and emission line width with temperature elevation up to ∼500 K, losing a factor of ∼8 to 10 in PL intensity at 400 K relative to ambient. Temperature elevation above ∼500 K yields thickness-dependent, irreversible degradation in optical properties. Electron microscopy relates stability of the core-only NP morphology up to 555 and 600 K for the four and five monolayer NPs, respectively, followed by sintering and evaporation at still higher temperatures. Reversible PL loss, based on differences in decay dynamics between time-resolved photoluminescence and transient absorption, results primarily from hole trapping in both NPs and sandwich NPs.
Endothelial SARS-CoV-2 infection is not the underlying cause of COVID19-associated vascular pathology in mice (2023)

Endothelial damage and vascular pathology have been recognized as major features of COVID-19 since the beginning of the pandemic. Two main theories regarding how Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) damages endothelial cells and causes vascular pathology have been proposed: direct viral infection of endothelial cells or indirect damage mediated by circulating inflammatory molecules and immune mechanisms. However, these proposed mechanisms remain largely untested in vivo. Here, we utilized a set of new mouse genetic tools <sup>1</sup> developed in our lab to test both the necessity and sufficiency of endothelial human angiotensin-converting enzyme 2 (hACE2) in COVID19 pathogenesis. Our results demonstrate that endothelial ACE2 and direct infection of vascular endothelial cells does not contribute significantly to the diverse vascular pathology associated with COVID-19.