gebhart/patrepeval huggingface dataset:
The HIV-protease inhibitor saquinavir reduces proliferation, invasion and clonogenicity in cervical cancer cell lines (2016)

Innovative therapies in cervical cancer (CC) remain a priority. Recent data indicate that human immunodeficiency virus (HIV)-protease inhibitors used in highly active antiretroviral therapy can exert direct antitumor activities also in HIV-free preclinical and clinical models. The aim of the present study was to evaluate the antineoplastic effects of various HIV-protease inhibitors (indinavir, ritonavir and saquinavir) on primary and established CC cell lines. Two CC cell lines established in our laboratory and four commercially available CC cell lines were treated with indinavir, ritonavir and saquinavir at different concentrations and for different times. Proliferation, clonogenicity and radiosensitivity were evaluated by crystal violet staining. Proteasomal activities were assessed using a cell-based assay and immunoblotting. Cell cycle was analyzed by propidium iodide staining and flow cytometric analysis. Invasion was tested with Matrigel chambers. A <i>t</i>-test for paired samples was used for statistical analysis. In all cell lines, saquinavir was more effective than ritonavir in reducing cell proliferation and inhibiting proteasomal activities (P≤0.05). Conversely, indinavir exerted a negligible effect. The saquinavir concentrations required to modulate the proteasome activities were higher than those observed to be effective in inhibiting cell proliferation. In HeLa cells, saquinavir was strongly effective in inhibiting cell invasion and clonogenicity (P≤0.05) at concentrations much lower than those required to perturb proteasomal activities. Saquinavir did not contribute to increase the sensitivity of HeLa cells to X-rays. In conclusion, the present results demonstrate that saquinavir is able to significantly reduce cell proliferation, cell invasion and clonogenicity in a proteasome-independent manner in <i>in vitro</i> models of CC, and suggest that saquinavir could be a promising CC therapeutic agent.
Context-Aware Collaborative Intelligence With Spatio-Temporal In-Sensor-Analytics for Efficient Communication in a Large-Area IoT Testbed (2020)

Decades of continuous scaling has reduced the energy of unit computing to virtually zero, while energy-efficient communication has remained the primary bottleneck in achieving fully energy-autonomous Internet-of-Things (IoT) nodes. This article presents and analyzes the tradeoffs between the energies required for communication and computation in a wireless sensor network, deployed in a mesh architecture over a 2400-acre university campus, and is targeted toward multisensor measurement of temperature, humidity and water nitrate concentration for smart agriculture. Several scenarios involving in-sensor analytics (ISA), collaborative intelligence (CI), and context-aware switching (CAS) of the cluster head during CI has been considered. A real-time co-optimization algorithm has been developed for minimizing the energy consumption in the network, hence maximizing the overall battery lifetime. Measurement results show that the proposed ISA consumes ≈ 467× lower energy as compared to traditional Bluetooth low energy (BLE) communication, and ≈ 69500× lower energy as compared with long-range (LoRa) communication. When the ISA is implemented in conjunction with LoRa, the lifetime of the node increases from a mere 4.3 h to 66.6 days with a 230-mAh coin cell battery, while preserving >99% of the total information. The CI and CAS algorithms help in extending the worst case node lifetime by an additional 50%, thereby exhibiting an overall network lifetime of ≈ 104 days, which is >90% of the theoretical limits as posed by the leakage current present in the system, while effectively transferring information sampled every second. A Web-based monitoring system was developed to continuously archive the measured data, and for reporting real-time anomalies.
Resource Allocation with Padding Overhead in OFDMA based Next Generation 802.11 WLANs. (2016)

Recently, IEEE 802.11ax Task Group has proposed new guidelines for the use of OFDMA-based medium access control. In this new framework, it has been decided that the transmission for all the users in an multi-user OFDMA should end end at the same time, and the users with insufficient data should transmit null data (i.e. padding) to fill the duration. While this scheme offers strong features such as resilience to Overlapping Basic Service Set (OBSS) interference and ease of synchronization, it also poses major side issues of degraded throughput performance and waste of devices' energy. We investigate resource allocation problems where the scheduling duration (i.e., time) is optimized through Lyapunov optimization techniques by taking into account the padding overhead, airtime fairness and energy consumption of the users. Also, being aware of the complexity of the existing OFDMA solutions, we propose lightweight and agile algorithms with the consideration of their overhead and implementation issues. We show that our resource allocation algorithms are arbitrarily close to the optimal performance at the price of reduced convergence rate.
Quantifying n-photon Indistinguishability with an Integrated Multi-Port Interferometer (2021)

We introduce a novel method to directly characterize the indistinguishability of a state of multiple photons using a multiport interferometer. We demonstrate this method using four photons from a quantum dot single-photon source.
ParaDisE (2009)

Automatic discovery and monitoring of IT resources is a critical part of enterprise systems management. In addition to ascertaining internal device configurations, this discovery process may also need to capture the capabilities, usage, connectivity, availability, and other information related to various IT components. Systems resource management (SRM) tools typically implement this discovery process using device specific APIs, custom agents and/or some standard-based solution (like WBEM and CIM). The discovery actions need to be systematically planned; an inefficient implementation or scheduling may easily take from a few minutes to several hours to complete in a large heterogeneous enterprise datacenter. This paper discusses the various challenges associated in discovering a datacenter environment and presents an autonomic monitoring framework called 'ParaDisE' that builds upon well-known industry standards and reduces the overall discovery time by more than 50%.
Ultrafast Nano-Imaging of the Photoinduced Phase Transition Dynamics in VO_2 (2016)

Many phase transitions in correlated\nmatter exhibit spatial inhomogeneities\nwith expected yet unexplored effects on the associated ultrafast dynamics.\nHere we demonstrate the combination of ultrafast nondegenerate pump–probe\nspectroscopy with far from equilibrium excitation, and scattering\nscanning near-field optical microscopy (&lt;i&gt;s&lt;/i&gt;-SNOM) for\nultrafast nanoimaging. In a femtosecond near-field near-IR (NIR) pump\nand mid-IR (MIR) probe study, we investigate the photoinduced insulator-to-metal\n(IMT) transition in nominally homogeneous VO&lt;sub&gt;2&lt;/sub&gt; microcrystals.\nWith pump fluences as high as 5 mJ/cm&lt;sup&gt;2&lt;/sup&gt;, we can reach three\ndistinct excitation regimes. We observe a spatial heterogeneity on\n∼50–100 nm length scales in the fluence-dependent IMT\ndynamics ranging from &lt;100 fs to ∼1 ps. These results suggest\na high sensitivity of the IMT with respect to small local variations\nin strain, doping, or defects that are difficult to discern microscopically.\nWe provide a perspective with the distinct requirements and considerations\nof ultrafast spatiotemporal nanoimaging of phase transitions in quantum\nmaterials.
Analgesic tolerance to morphine is regulated byPPARγ (2014)

Overall, our results demonstrate that PPARγ plays a tonic role in the modulation of morphine tolerance, and its pharmacological activation may help to reduce its development. These findings provide new information about the role of neuronal PPARγ and suggest that combining PPARγ agonists with opioid analgesics may reduce the development of tolerance and possibly attenuate the potential for opioid abuse.
Gold Nanoparticles and Gold(III) Complexes as General and Selective Hydrosilylation Catalysts (2007)

Worth their weight in gold: Au/CeO2 nanoparticles are a highly active catalyst for the hydrosilylation of a large variety of unsaturated compounds with high chemo- and regioselectivity. To understand the nature of the catalytic active sites, AuI and AuIII phosphine-free stable organogold complexes and their supported counterparts were prepared and their relative activity towards hydrosilylation was elucidated. Supporting information for this article is available on the WWW under http://www.wiley-vch.de/contents/jc_2002/2007/z702032_s.pdf or from the author. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
The spin Nernst effect in tungsten (2017)

The spin Hall effect allows the generation of spin current when charge current is passed along materials with large spin-orbit coupling. It has been recently predicted that heat current in a nonmagnetic metal can be converted into spin current via a process referred to as the spin Nernst effect. We report the observation of the spin Nernst effect in W. In W/CoFeB/MgO heterostructures, we find changes in the longitudinal and transverse voltages with magnetic field when temperature gradient is applied across the film. The field dependence of the voltage resembles that of the spin Hall magnetoresistance. A comparison of the temperature gradient-induced voltage and the spin Hall magnetoresistance allows direct estimation of the spin Nernst angle. We find the spin Nernst angle of W to be similar in magnitude but opposite in sign to its spin Hall angle. Under an open-circuit condition, this sign difference results in the spin current generation larger than otherwise. These results highlight the distinct characteristics of the spin Nernst and spin Hall effects, providing pathways to explore materials with unique band structures that may generate large spin current with high efficiency.
Amyloid fibrils activate B-1a lymphocytes to ameliorate inflammatory brain disease (2015)

Amyloid fibrils composed of peptides as short as six amino acids are therapeutic in experimental autoimmune encephalomyelitis (EAE), reducing paralysis and inflammation, while inducing several pathways of immune suppression. Intraperitoneal injection of fibrils selectively activates B-1a lymphocytes and two populations of resident macrophages (MΦs), increasing IL-10 production, and triggering their exodus from the peritoneum. The importance of IL-10-producing B-1a cells in this effective therapy was established in loss-of-function experiments where neither B-cell-deficient (μMT) nor IL10(-/-) mice with EAE responded to the fibrils. In gain-of-function experiments, B-1a cells, adoptively transferred to μMT mice with EAE, restored their therapeutic efficacy when Amylin 28-33 was administered. Stimulation of adoptively transferred bioluminescent MΦs and B-1a cells by amyloid fibrils resulted in rapid (within 60 min of injection) trafficking of both cell types to draining lymph nodes. Analysis of gene expression indicated that the fibrils activated the CD40/B-cell receptor pathway in B-1a cells and induced a set of immune-suppressive cell-surface proteins, including BTLA, IRF4, and Siglec G. Collectively, these data indicate that the fibrils activate B-1a cells and F4/80(+) MΦs, resulting in their migration to the lymph nodes, where IL-10 and cell-surface receptors associated with immune-suppression limit antigen presentation and T-cell activation. These mechanisms culminate in reduction of paralytic signs of EAE.
Evolution of strain coverage by the multicomponent meningococcal serogroup B vaccine (4CMenB) in France (2021)

The 4CMenB, a protein-based vaccine, was licensed in Europe in 2013 against invasive meningococcal disease caused by serogroup B and is currently implemented in several countries although according to different national strategies. Isolate coverage estimation is required as vaccine-targeted antigens may vary among isolates over time. Several phenotypic and genotypic methods have been developed to predict strain coverage by scoring the expression and cross-reactivity of vaccine antigens using the Meningococcal Antigen Typing system (MATS), by the genetic correlation of alleles encoding these antigens and MATS expression data (gMATS) and by the Meningococcal Deduced Vaccine Antigen Reactivity (MenDeVAR). We applied these approaches on meningococcal B isolates in France and compared two epidemiological years, 2013-2014 and 2018-2019. A strong correlation was observed between MATS data that were generated for the year 2013-2014 and the gMATS data extracted from whole genome sequencing. gMATS and MenDeVAR were next used to compare the two years. Using gMATS, the overall coverage was 77.2% (lower limit (LL)-upper limit (UL) 66.7-87.7) and 70.7% (LL-UL 61.5-80.0) for the two years, respectively. The reduction in coverage between the two years is mainly driven by the reduction of alleles exactly matching the vaccine antigens. A high number of unpredictable isolates was observed using the MenDeVAR and was due to lack of MATS information for new or rare alleles in particular for the year 2018-2019. Our data underline the need of continuous surveillance of strain coverage and the importance of generating phenotypic MATS data to update the genetic approaches of prediction.
Two-dimensional MoS2-enabled flexible rectenna for wireless energy harvesting in the Wi-Fi band (Conference Presentation) (2019)

MoS2 has attracted substantial attention due to its atomic thickness and outstanding electronic and mechanical properties. As one of the thinnest semiconductors in the world, MoS2 is promising to build flexible electronics that can be integrated with objects with arbitrary shapes and inspires a vision of distributed ubiquitous electronics. Despite recent advances in two-dimensional materials-based electronics (e.g. 2D materials-based transistors, memory devices and sensors), an efficient and flexible energy harvesting solution is necessary, but still missing, to enable a self-powered system. At the same time, the electromagnetic (EM) radiation in the Wi-Fi band (2.4 GHz and 5.9 GHz) is becoming increasingly ubiquitous and it would be beneficial to be able to wirelessly harvest it to power future distributed electronics. However, the rectennas (i.e. RF energy harvesters) based on flexible semiconductors have not been fast enough to cover the Wi-Fi band due to their limited transport properties. Here we present a unique MoS2 semiconducting-metallic phase heterojunction, which enables a flexible and high-speed Schottky diode with a cutoff frequency of 10 GHz. Due to a novel lateral architecture and self-aligned phase engineering, our MoS2 Schottky diode exhibits significantly reduced parasitic capacitance and series resistance. By integrating the MoS2 rectifier with a flexible Wi-Fi band antenna, we successfully fabricate a fully flexible rectenna that demonstrates direct energy harvesting of EM radiation in the Wi-Fi band with zero external bias (battery-free). Moreover, taking advantage of the nonlinearity of the MoS2 Schottky diode, a frequency mixing in the gigahertz range is also successfully demonstrated on flexible substrates.
Effect of a photonic band gap on scattering from waveguide disorder (2004)

We derive a general, analytical, coupled-mode theory for disorder-induced scattering in periodic systems that shows that in the experimentally relevant limit of weak disorder, the reflection in a photonic-crystal waveguide is just as low as in a comparable index-guided waveguide. Moreover, since the photonic band gap also blocks radiative loss, the total scattering loss is reduced, and the total transmission is higher. These general results are verified by direct numerical simulations in an example system.
Optimization and stability of glucoamylase production by recombinant strains ofAspergillus niger in chemostat culture (1998)

When grown on a medium containing 5 g maltodextrin L-1, Aspergillus niger transformant N402[pAB6-10]B1, which has an additional 20 copies of the glucoamylase (glaA) gene, produced 320 +/- 8 mg (mean +/- S.E.) glucoamylase (GAM) L-1 in batch culture and 373 +/- 9 mg GAM L-1 in maltodextrin-limited chemostat culture at a dilution rate of 0.13 h-1. These values correspond to specific production rates (qp) of 5.6 and 16.0 mg GAM [g biomass]-1 h-1, respectively. In maltodextrin-limited chemostat cultures grown at dilution rates from 0.06 to 0.14 h-1, GAM was produced by B1 in a growth-correlated manner, demonstrating that a continuous flow culture system operated at a high dilution rate is an efficient way of producing this enzyme. In chemostat cultures grown at high dilution rates, GAM production in chemostat cultures was repressed when the limiting nutrient was fructose or xylose, but derepressed when the limiting nutrient was glucose (qp, 12.0), potassium (6.2), ammonium (4.1), phosphate (2.0), magnesium (1.5) or sulphate (0.9). For chemostat cultures grown at a dilution rate of 0.13 h-1, the addition of 5 g mycopeptone L-1 to a glucose-mineral salts medium resulted in a 64% increase in GAM concentration (from 303 +/- 12 to 496 +/- 10 mg GAM L-1) and a 37% increase in specific production rate (from 12.0 +/- 0.4 to 16.4 +/- 1.6 mg GAM [g biomass]-1 h-1). However, although recombinant protein production was stable for at least 948 h (191 generations) when A. niger B1 was grown in chemostat culture on glucose-mineral salts medium, it was stable for less than 136 h (27 generations) on medium containing mycopeptone. The predominant morphological mutants occurring after prolonged chemostat culture were shown to have selective advantage in the chemostat over the parental strain. Compared to their parental strains, two morphological mutants had similar GAM production levels, while a third had a reduced production level. Growth tests and molecular analysis revealed that the number of glaA gene copies in this latter strain (B1-M) was reduced, which could explain its reduced GAM production. Shake-flask cultures carried out with the various morphological mutants revealed that in batch culture all three strains produced considerably less GAM than their parent strains and even less than N402. We show that physiological changes in these morphological mutants contribute to this decreased level of GAM production.
Efficient low-temperature thermal functionalization of alkanes. Transfer dehydrogenation catalyzed by Rh(PMe3)2Cl(CO) in solution under a high-pressure hydrogen atmosphere (1991)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTEfficient low-temperature thermal functionalization of alkanes. Transfer dehydrogenation catalyzed by Rh(PMe3)2Cl(CO) in solution under a high-pressure hydrogen atmosphereJohn A. Maguire and Alan S. GoldmanCite this: J. Am. Chem. Soc. 1991, 113, 17, 6706–6708Publication Date (Print):August 1, 1991Publication History Published online1 May 2002Published inissue 1 August 1991https://pubs.acs.org/doi/10.1021/ja00017a071https://doi.org/10.1021/ja00017a071research-articleACS PublicationsRequest reuse permissionsArticle Views797Altmetric-Citations85LEARN 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-Alertsclose Get e-Alerts
Dataset and standard operating procedure for newborn screening of six lysosomal storage diseases: By tandem mass spectrometry (2016)

In this data article we provide a detailed standard operating procedure for performing a tandem mass spectrometry, multiplex assay of 6 lysosomal enzymes for newborn screening of the lysosomal storage diseases Mucopolysaccharidosis-I, Pompe, Fabry, Niemann-Pick-A/B, Gaucher, and Krabbe, (Elliott, et al., 2016) [1]. We also provide the mass spectrometry peak areas for the product and internal standard ions typically observed with a dried blood spot punch from a random newborn, and we provide the daily variation of the daily mean activities for all 6 enzymes.
Adenosine Inhibits Tissue Factor Expression by LPS-stimulated Human Monocytes: Involvement of the A3 Adenosine Receptor (2002)

Tissue Factor (TF), an integral membrane glycoprotein that initiates the extrinsic pathway of blood coagulation, is thought to play a major part in coronary acute events. Adenosine, an endogenous nucleoside produced by the degradation of intracellular adenosine triphosphate, has been shown to exert many cardioprotective effects via an inhibition of platelets and neutrophils. This study was conducted to determine whether adenosine (ADO) could modulate the expression of TF by human monocytes. We found that ADO inhibited TF antigen and activity on endotoxin-stimulated monocytes in a dose-dependent manner. The mechanism was at least pre-translational since ADO caused a change in the TF mRNA level. Using ADO receptor-specific analogs, we showed that highly selective A3 agonist N6-(3-iodobenzyl)-adenosine-5'-N'-methyluronamide (IB-MECA) inhibited LPS-induced TF activity expression more potently than A1 agonist R-phenylisopropyladenosine (R-PIA) and A2 agonist CGS 2180. Furthermore, A1/A3 antagonist, xanthine amine congener (XAC) blocked the effect of ADO whereas A2a, A2b and A1 antagonists were ineffective. In addition, we observed that ADO agonists inhibited monocyte TF expression in LPS-stimulated whole blood. The rank order of agonist potency suggested that A2 and A3 receptors might be involved (2-Cado > CGS = IB-MECA > R-PIA). This was supported by the fact that A2 and A3 antagonists reversed the action of 2-Cado. We conclude that TF inhibition by ADO on human purified monocytes involved A3 receptors.
Diffusion heterogeneity tensor MRI (?-Dti): mathematics and initial applications in spinal cord regeneration after trauma - biomed 2009. (2009)

Diffusion weighted magnetic resonance imaging (DWI) is a powerful tool for evaluation of microstructural anomalies in numerous central nervous system pathologies. Diffusion tensor imaging (DTI) allows for the magnitude and direction of water self diffusion to be estimated by sampling the apparent diffusion coefficient (ADC) in various directions. Clinical DWI and DTI performed at a single level of diffusion weighting, however, does not allow for multiple diffusion compartments to be elicited. Furthermore, assumptions made regarding the precise number of diffusion compartments intrinsic to the tissue of interest have resulted in a lack of consensus between investigations. To overcome these challenges, a stretched-exponential model of diffusion was applied to examine the diffusion coefficient and "heterogeneity index" within highly compartmentalized brain tumors. The purpose of the current study is to expand on the stretched-exponential model of diffusion to include directionality of both diffusion heterogeneity and apparent diffusion coefficient. This study develops the mathematics of this new technique along with an initial application in quantifying spinal cord regeneration following acute injection of epidermal neural crest stem cell (EPI-NCSC) grafts.