gebhart/patrepeval huggingface dataset:
Secure Federated Learning in 5G Mobile Networks (2020)

Machine Learning (ML) is an important enabler for optimizing, securing and managing mobile networks. This leads to increased collection and processing of data from network functions, which in turn may increase threats to sensitive end-user information. Consequently, mechanisms to reduce threats to end-user privacy are needed to take full advantage of ML. We seamlessly integrate Federated Learning (FL) into the 3GPP5G Network Data Analytics (NWDA) architecture, and add a Multi-Party Computation (MPC) protocol for protecting the confidentiality of local updates. We evaluate the protocol and find that it has much lower communication overhead than previous work, without affecting ML performance.
Metal Complexes of 2',3'-O-Isopropylidene-6-thioinosine1a (1966)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMetal Complexes of 2',3'-O-Isopropylidene-6-thioinosine1aAlexander Hampton and J. C. FratantoniCite this: J. Med. Chem. 1966, 9, 6, 976Publication Date (Print):November 1, 1966Publication History Published online1 May 2002Published inissue 1 November 1966https://pubs.acs.org/doi/10.1021/jm00324a051https://doi.org/10.1021/jm00324a051research-articleACS PublicationsRequest reuse permissionsArticle Views43Altmetric-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 InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Grain refinement in beryllium by equal channel angular extrusion. (2003)

Ultrafine-grained Be is the material of choice for fabrication of the NIF target capsules. One method of producing ultrafine grains in metals is by imposing very large strains. Equal channel angular extrusion (ECAE) has been used to achieve these high strains. Previous work has shown that powder-source Be can be successfully processed by ECAE. Pure Be and Be-0.9 at% Cu alleys have been arc melted and cast into billets 5 mm in diameter by 30 mm in length. These billets were enclosed in cans fabricated from commercial purity Ni, with an electron-beam welded end plug. These cans were extruded at 425C in ECAE tooling with a 120' angle between the inlet and outlet channels. The billets were extruded up to 4 times. The microstructures of the powdersource Be and the arc-melted Be and Be-0.9 at% Cu materials will be presented, and the effects of the ECAE processing on the grain size will be discussed.
The Role of Macrophages in T Cell–mediated Autoimmune Diabetes in Nonobese Diabetic Mice (1999)

We have shown previously that the inactivation of macrophages in nonobese diabetic (NOD) mice results in the prevention of diabetes; however, the mechanisms involved remain unknown. In this study, we found that T cells in a macrophage-depleted environment lost their ability to differentiate into beta cell-cytotoxic T cells, resulting in the prevention of autoimmune diabetes, but these T cells regained their beta cell-cytotoxic potential when returned to a macrophage-containing environment. To learn why T cells in a macrophage-depleted environment lose their ability to kill beta cells, we examined the islet antigen-specific immune response and T cell activation in macrophage-depleted NOD mice. There was a shift in the immune balance, a decrease in the T helper cell type 1 (Th1) immune response, and an increase in the Th2 immune response, due to the reduced expression of the macrophage-derived cytokine IL-12. As well, there was a deficit in T cell activation, evidenced by significant decreases in the expression of Fas ligand and perforin. The administration of IL-12 substantially reversed the prevention of diabetes in NOD mice conferred by macrophage depletion. We conclude that macrophages play an essential role in the development and activation of beta cell-cytotoxic T cells that cause beta cell destruction, resulting in autoimmune diabetes in NOD mice.
THE STRUCTURE OF INDIVIDUAL VARIATION IN MIOCENE GLOBOROTALIA (1990)

Analysis of probability distributions of individual organisms provides a common language to describe synchronic and diachronic diversity. When based on an appropriate quantitative description of morphology, this language can be used to explore the temporal component of diversity embedded in the fossil record. Miocene Globorotalia (planktonic foraminifera) from Deep Sea Drilling Project site 593 are described using two-point registration of landmarks in two views (spiral and apertural) and medial-axis analysis of the shape of the final chamber. The equiangular spiral parameters Θ (the angle of increment), r (the expansion rate), and t (the rate of translation down the spiral axis) appear as principal components of the landmark data. Chamber shape variation is described by three principal components of medial-axis curvature. Partial-least-squares analysis demonstrates that the first components of within-morphospace variation also explain the patterns of correlation between the landmark and chamber-shape morphospaces. In the landmark morphospaces, the distribution of sampled individuals is continuous and roughly elliptical with few stratigraphic changes. In the chamber-shape morphospace, the distribution is continuous but shows complex features beyond the elliptical; the occupied morphospace changes stratigraphically, but neither strict cladogenesis nor strict anagenesis explains the derivation of new morphologies. Exemplars of named morphospecies are scattered across these spaces with continuous variation among all forms. These names cannot be assumed to represent discrete entities.
Four-Year Visual Outcomes in the Protocol W Randomized Trial of Intravitreous Aflibercept for Prevention of Vision-Threatening Complications of Diabetic Retinopathy (2023)

ClinicalTrials.gov Identifier: NCT02634333.
Single image fog removal using bilateral filter (2012)

In this paper, a novel and efficient fog removal algorithm is proposed. Fog formation is due to attenuation and airlight. Attenuation reduces the contrast and airlight increases the whiteness in the scene. Proposed algorithm uses bilateral filter for the estimation of airlight and recover scene contrast. Qualitative and quantitative analysis demonstrate that proposed algorithm performs well in comparison with prior state of the art algorithms. Proposed algorithm is independent of the density of fog and does not require user intervention. It can handle color as well as gray images. Proposed algorithm has a wide application in tracking and navigation, consumer electronics and entertainment industries.
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model (2020)

Recently latent factor model (LFM) has been drawing much attention in recommender systems due to its good performance and scalability. However, existing LFMs predict missing values in a user-item rating matrix only based on the known ones, and thus the sparsity of the rating matrix always limits their performance. Meanwhile, semi-supervised learning (SSL) provides an effective way to alleviate the label (i.e., rating) sparsity problem by performing label propagation, which is mainly based on the smoothness insight on affinity graphs. However, graph-based SSL suffers serious scalability and graph unreliable problems when directly being applied to do recommendation. In this paper, we propose a novel probabilistic chain graph model (CGM) to marry SSL with LFM. The proposed CGM is a combination of Bayesian network and Markov random field. The Bayesian network is used to model the rating generation and regression procedures, and the Markov random field is used to model the confidence-aware smoothness constraint between the generated ratings. Experimental results show that our proposed CGM significantly outperforms the state-of-the-art approaches in terms of four evaluation metrics, and with a larger performance margin when data sparsity increases.
Assessing experimentally derived interactions in a small world (2003)

Experimentally determined networks are susceptible to errors, yet important inferences can still be drawn from them. Many real networks have also been shown to have the small-world network properties of cohesive neighborhoods and short average distances between vertices. Although much analysis has been done on small-world networks, small-world properties have not previously been used to improve our understanding of individual edges in experimentally derived graphs. Here we focus on a small-world network derived from high-throughput (and error-prone) protein-protein interaction experiments. We exploit the neighborhood cohesiveness property of small-world networks to assess confidence for individual protein-protein interactions. By ascertaining how well each protein-protein interaction (edge) fits the pattern of a small-world network, we stratify even those edges with identical experimental evidence. This result promises to improve the quality of inference from protein-protein interaction networks in particular and small-world networks in general.
Production and nutritional value of weaning foods from mixtures of pearl millet and cowpeas. (1993)

Weaning foods were produced by mixing decorticated and press-dried pearl millet (70%) and cowpea (30%) with and without sorghum malt. Decorticated millet and cowpea flours were cooked into a slurry and press-dried to produce flakes. The heat applied during cooking of the slurry and press-drying was designed to develop proper paste properties for the preparation of porridgelike weaning foods. Sorghum malt hydrolyzed the starch and produced a beverage that contained 17% protein with 90% of the essential amino acids required for infants less than one year old.
Fed‐batch production of l‐tryptophan from glycerol using recombinant Escherichia coli (2018)

l-tryptophan is an essential amino acid of high industrial interest that is routinely produced by microbial processes from glucose as carbon source. Glycerol is an alternative substrate providing a variety of economic and metabolic advantages. Process performance of the recombinant l-tryptophan producer Escherichia coli NT367 was studied in controlled fed-batch processes. The chromosome of the recombinant l-tryptophan producer was equipped with additional genes coding for enzymes of the aromatic amino acids biosynthetic pathway and l-serine biosynthesis, including genes for feedback-resistant enzyme variants ( trpE <sup>fbr</sup> , aroFBL, and serA <sup>fbr</sup> ), deletions of enzymatic steps for the degradation of precursors or the product l-tryptophan ( sdaB and tnaA), and alterations in the regulation of l-tryptophan metabolism (deletion of trpL and trpR). The impact of glycerol supply rates as well as the application of a multicopy plasmid (pF112- aroFBL -kan) were investigated in fully controlled stirred-tank bioreactors on a 15 L scale. The combination of E. coli NT367 carrying pF112- aroFBL -kan and an appropriate biomass-specific glycerol supply-rate resulted in the highest final product concentration of 12.5 g L <sup>-1</sup> l-tryptophan with the lowest concentrations of other aromatic amino acids. Fed-batch production of l-tryptophan from glycerol was shown for the first time with recombinant E. coli.
Circulating current suppression for a direct AC-AC modular multilevel converter in YDY coupling (2017)

A control strategy to manage the circulating current content in a Modular Multilevel Converter in direct AC-AC topology is proposed in this article. The converter is connected in three-phase YDY configuration which forms a closed delta path for free current circulation while keeping outsider waveforms with low THD content. Circulating current correction becomes necessary face to any kind of unbalance or even to small power transition. Simulations results show multiple frequency content in waveforms using a resonant corrector and performances against system unbalances.
Saving 200kW and $200 K/year by power-aware job/machine scheduling (2008)

This paper reports our 3.75-year empirical study on power-aware operations of Kyoto University’s supercomputer system. The supercomputer system of 10 TFlops had required about 540 kW on average in its first fiscal year 2004. After that and one-year try-and-error of power efficient operation, we implemented a simple but effective scheduler of jobs and machine powering to improve the perload power efficiency by up to 39% and to save 200 kW and $200,000 electric charge in the fiscal year 2006. The power-aware scheduler tries to minimize the number of active nodes in the system of eleven nodes keeping sufficient computational power for given loads. Thus the power-aware scheduler has not degraded, but has significantly improved, the service quality in terms of the average job-waiting time.
GC–MS metabolic profiling of Cabernet Sauvignon and Merlot cultivars during grapevine berry development and network analysis reveals a stage- and cultivar-dependent connectivity of primary metabolites (2016)

Information about the total chemical composition of primary metabolites during grape berry development is scarce, as are comparative studies trying to understand to what extent metabolite modifications differ between cultivars during ripening. Thus, correlating the metabolic profiles with the changes occurring in berry development and ripening processes is essential to progress in their comprehension as well in the development of new approaches to improve fruit attributes. Here, the developmental metabolic profiling analysis across six stages from flowering to fully mature berries of two cultivars, Cabernet Sauvignon and Merlot, is reported at metabolite level. Based on a gas chromatography-mass spectrometry untargeted approach, 115 metabolites were identified and relative quantified in both cultivars. Sugars and amino acids levels show an opposite behaviour in both cultivars undergoing a highly coordinated shift of metabolite associated to primary metabolism during the stages involved in growth, development and ripening of berries. The changes are characteristic for each stage, the most pronounced ones occuring at fruit setting and pre-Veraison. They are associated to a reduction of the levels of metabolites present in the earlier corresponding stage, revealing a required catabolic activity of primary metabolites for grape berry developmental process. Network analysis revealed that the network connectivity of primary metabolites is stage- and cultivar-dependent, suggesting differences in metabolism regulation between both cultivars as the maturity process progresses. Furthermore, network analysis may represent an appropriate method to display the association between primary metabolites during berry developmental processes among different grapevine cultivars and for identifying potential biologically relevant metabolites.
Introduction to Geostatistics for Site Characterization and Safety Assessment. (2013)

Abstract not provided.
The Elusive Enamine Intermediate in Proline‐Catalyzed Aldol Reactions: NMR Detection, Formation Pathway, and Stabilization Trends (2010)

The missing link: The elusive enamine intermediate of nucleophilic proline catalysis was detected and stereochemically characterized by NMR analysis of the aldehyde self-aldolization reaction in dipolar aprotic solvents. NMR exchange spectroscopy (EXSY) was used to observe direct enamine formation from oxazolidinones. Additionally, the stabilization of the intermediate by the appropriate choice of solvent and substitution pattern on the aldehyde is presented.
Sizing of colloidal particles with light scattering: corrections for beginning multiple scattering (1995)

Static light scattering is widely used for sizing of particles with radii in the range of 50 nm up to several micrometers. These experiments usually require very low particle concentrations (<10(-4)) for prevention of multiple scattering. As a consequence, nonabsorbing samples that are suited for light-scattering investigations must be transparent so that the transmittance of the incident light is typically above 95%. Investigations of less translucent samples require corrective terms for the beginning of multiple scattering to retrieve the particle-size distribution successfully. We applied a computationally convenient first-order approximation for the multiple-scattering problem that has Hartel's approach in its first steps. When incorporated into our inversion technique, this approximation functions well for samples with transmittances above 30%. We present examples of applications to experimental data.
Microsoft Office PowerPoint 2007: Comprehensive Concepts and Techniques (2001)

In Microsoft PowerPoint 2007: Comprehensive Concepts and Techniques youll find features that are specifically improve retention, and prepare readers for future success. Our trademark step-by-step, screen-by-screen approach now encourages users to expand their understanding of the PowerPoint 2007 software through experimentation, exploration, and planning ahead.
Comparative multivariate visualization across conceptually different graphic displays (2002)

To extend the scope of multivariate data visualization, the notion of comparative visualization is introduced: it allows the comparison of visualization methods by interconnecting several different graphic displays. This linking of visualizations, together with the possibility to interactively manipulate data, enable an analyst to display the same data set with a number of conceptually different visualization methods simultaneously and to carry out graphical operations across them. Graphical effects in different displays not only reveal information about the data themselves, they also provide the basis to investigate how the different visualization methods relate to each other. With the "VisuLab", we developed a software tool for personal computers to investigate comparative multivariate data visualization.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
AMP‐activated protein kinase and muscle glucose uptake (2003)

The AMP-activated protein kinase (AMPK) is an enzyme that is activated in situations where there are changes in the cellular energy status such as muscle contraction and hypoxia. AMPK can also be pharmacologically activated by the compound 5-aminoimidazole-4-carboxamide ribonucleoside (AICAR) and the antidiabetic agent metformin. Several studies support the hypothesis that AMPK plays an important role in the stimulation of muscle glucose uptake by these physiological and pharmacological stimuli. In isolated rat muscles, activation of AMPK is associated with increases in glucose uptake through an insulin-independent mechanism. Studies done in rodents have shown that the activation of AMPK by AICAR is accompanied by decreases in blood glucose concentrations, in part due to enhanced muscle glucose uptake. Similar to exercise, AICAR not only directly stimulates glucose uptake into the skeletal muscle, but also enhances insulin sensitivity. The activation of AMPK and associated increases in muscle glucose uptake are affected by factors such as glycogen content, exercise training and fibre type. The effects of AMPK on muscle glucose uptake makes this protein a promising pharmacological target for the treatment of type 2 diabetes.
Polarization memory in the backscattering of light from a turbid medium (2005)

Time-resolved backscattering profiles of circularly and linearly polarized light were measured. The experimentally observed polarization memory effect is used to enhance the image contrast for a target inside large particle suspensions.
Influence of grass silage fermentation and concentrate composition on the appearance and sensory characteristics of bovine M. longissimus dorsi (2003)

Satisfying consumer preferences is an important element in ensuring the sustainability of the beef industry. An array of feed ingredients are available to beef producers but the effects of pre-slaughter ration composition on determinants of consumers’ decisions to purchase beef, such as appearance and sensory characteristics, are unclear. Previous research has shown that the diet of cattle can influence fat colour, but that concentrates per se had little effect on sensory attributes of beef when compared with a grass silage or grass-based ration (French et al. , 2000). The objective of the current study was to examine the effect of silage fermentation and concentrate composition on the appearance and eating quality characteristics of beef.
Couverture d'un réseau cellulaire CDMA (2005)

International audience
11Keto-Testosterone as Androgen Contraceptive with Anti-Metabolic Benefits by Modulating 11β-Hydroxysteroid Dehydrogenase 1. (2008)

Clinical trials have demonstrated that male hormonal contraceptives can be effective, safe and reversible. The major component of the hormonal contraceptives is a long-acting testosterone. However, the use of androgen could generate side effects lowering HDL. Alternative use of androgen without these side effects could be beneficial. The present study is testing the efficacy of 11keto-testosterone (11KT) as androgen and its effects of 11β-hydroxysteroid dehydrogenase 1 (11βHSD1). 11βHSD1 oxidative and reductive activities were determined in rat intact Leydig and liver cells and COS1 cells transfected with human 11βHSD1 in the presence of various concentrations of 11KT. The luciferase activities of 11KT to stimulate androgen elements after confection with human androgen receptor and luciferase reporter were compared to dihydrotestosterone and testosterone. IC50s of 11KT inhibiting 11βHSD1 in intact Leydig and liver cells were 138 nM and 142 nM, respectively, while the EC50s of 11KT stimulating 11ΒHSD1 in intact Leydig and liver cells were 75 nM and 58 nM, respectively. 11KT stimulated 11βHSD1 oxidase and inhibited reductase in COS1 cells transfected with human 11βHSD1 with the same potency. 11KT competitively inhibited 11βHSD1 reductive activity, while it provided with NADP+ which stimulated 11βHSD1 oxidative activity. At 10 nM, 11KT increased luciferase significantly and its potency was between dihydrotestosterone and testosterone. The present study suggests that 11KT is potent androgen with novel characteristics that increase 11βHSD1 oxidase and inhibits 11βHSD1 reductase thus eliminating active glucocorticoids.
Screening of Scaffolds for the Design of G-Quadruplex Ligands (2022)

In the last decade, progress has been made in G-quadruplex (G4) ligands development, but for most compounds, the ligand binding mode is speculative or based on low resolution methods, with its discovery based on structure-based approaches. Herein, we report the synthesis of small (MW &lt; 400 Da) heterocycle compounds, containing different aromatic scaffolds, such as phenyl, quinoline, naphthalene, phenanthroline and acridine moieties, in order to explore their stabilization effect towards different DNA G4s, such as those found in c-MYC, KRAS21 and VEGF promoters, 21G human telomeric motif and pre-MIR150. The fluorescence resonance energy transfer (FRET) melting assay indicates that the acridine moiety is the most active scaffold, followed by phenanthroline. The different scaffolds are promising in terms of drug-like properties and, in general, the IC50 values of the respective heterocycle compounds are lower in a cancer cell line, when compared with a normal cell line. The acridine derivative C5NH2 has the most favorable cytotoxic profile in terms of cell selectivity.