Miracle-dz/UniFAR-FTUs huggingface dataset:
Eine Mehrwellenlängenmethode zur röntgenographischen Analyse oberflächennaher Eigenspannungszustände in Keramiken Herrn Prof Dr rer. nat. Hans Neff Zur Vollendung seines 70. Lebensjahres gewidmet

Wegen der Sprodigkeit Keramischer Bauteile kommt deren oberflachennahen Werkstoffzustanden fur das Festigkeitsverhalten eine besondere Bedeutung zu Neben der Oberflachentopographie und den vorliegenden Gefugezustanden sind dabei insbesondere die auftretenden Eigenpannungen wichtig Fur die Analyse oberflachennaher Eigenspannungen in Keramiken hat sich inzwischen die rontgenographische Methode als das Verfahren der Wahl erwiesen [1] Haufig sind die eigenspannungsbehafteten Randschichten aber sehr dunn, so das trotz der geringen Eindringtiefe der fur die Messungen verwendeten Rontgenstrahlen nur integrale Aussagen uber die wirklich im Oberflachenbereich vorliegenden Eigenspannungsverlaufe moglich sind Dies erschwert die Bewertung der Auswirkungen, die bestimmte Parametervariationen beider Keramikherstellung auf die Eigenspannungsausbildung haben Es wird uber eine Methode berichtet, bei der mit Rontgenstrahlen unterschiedlicher Wellenlangen verschiedene Gitterebenen {hkl} in den Kornern oberflachennaher Werkstoffbereiche vermessen und steile Eigenspannungsgradienten qualitativ erfast werden konnen Beispiele entsprechender Eigenspannungsanalysen an hartbearbeiteten Keramikoberflachen werden vorgestellt und diskutiert. A Multi-Wavelength Method for X-RAy Analysis of Near Surface Residual States in Ceramics Because of the brittleness of ceramics, their near surface materials state is of particular importance with respect to their strength. Besides of surface topography and microstructure, also the residual stress state has to be taken into account. X-ray stress analysis has proved to be the most reliable procedure for the determination of near surface residual stress states in ceramics. Often, however, the residually stressed surface layers are very shallow and, despite the small penetration depth of the X-rays used, only integral values of the existing residual stresses can be measured Consequently, it is difficult to asses the Parameters of the applied Pretreatments which influence the residual stress states. A method is described which works with different X-ray wavelengths for measuring lattice strains of several sets of {hkl}-planes of near surface grains to account for very steep stress gradients Corresponding examples of residual stress determinations on machined ceramic surfaces are presented and discussed.
Whole exome sequencing analysis of native dwarf cattle genetic groups of Kerala by next generation DNA sequencing

Indigenous cattle play an important role in the sustenance and welfare of traditional rural farmers. The indicine cattle genetic groups of Kerala, (the southernmost state in India) namely Kasargod dwarf and Vadakara dwarf cattle are believed to possess numerous attributes such as very short stature, disease resistance, heat tolerance, less susceptibility to ticks and lower feed consumption. A detailed genetic study regarding the variations would reveal unique features responsible for its rare phenotypes. The aim of the present study was to perform the whole exome analysis of these native cattle of Kerala using Bovine All Exon capture kit (Agilent Sure Select) followed by sequencing on Illumina HiSeq 2500 platform. We successfully identified a total of 1578008 and 1425816 variants including 1453933 (92.13%) and 1314506 (92.19%) Single Nucleotide Polymorphisms (SNPs) and 124075 (7.86%) and 111310 (7.80%) In Dels (Insertions/Deletions) in Kasargod dwarf and Vadakara dwarf cattle, respectively. Out of the total variants 1245431 and 1134579 were found to be novel in Kasargod dwarf and Vadakara dwarf cattle, respectively. Detailed variant annotation revealed that the majority of the SNPs were located in the intergenic region of the genome. Furthermore the exonic variants were distributed as 63002 and 57516 non synonymous SNPs, 37773 and 35021 missense mutations, 324 and 323 nonsense mutations and 73 and 64 start loss mutations in Kasargod dwarf and Vadakara dwarf cattle, respectively. These findings are particularly interesting because presence of these SNPs might be the probable reason for the peculiar characteristics of these indicine cattle and therefore efforts have to be made to conserve and develop these indigenous cattle resources.
Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting

Given a multivariate time series, how can we forecast all of its variables eﬃciently and accurately? The multivariate forecasting, which is to predict the future observations of a multivariate time series, is a fundamental problem closely related to many real-world applications. However, previous multivariate models suﬀer from large model sizes due to the ineﬃciency of capturing complex intra-variable patterns and inter-variable correlations, resulting in poor accuracy. In this work, we propose AttnAR (attention-based autoregression), a novel approach for general multivariate forecasting which maximizes its model eﬃciency via separable structure. At-tnAR ﬁrst extracts variable-wise patterns by a mixed convolution extractor that eﬃciently combines deep convolution layers and shallow dense layers. Then, AttnAR aggregates the patterns by learning time-invariant attention maps be-tween the target variables. AttnAR accomplishes the state-of-the-art forecasting accuracy in four datasets with up to 117.3 times fewer parameters than the best competitors.
RATE OF ENERGY LOSS AND RANGES OF CARBON AND OXYGEN IONS IN SOLIDS

The rate of energy loss of carbon and oxygen ions passing through carbon, aluminium, nickel, silver, and gold absorbers has been measured in the energy interval of 0.36 to 3.2 MeV. Ranges of the carbon and oxygen ions in these stopping materials were obtained by numerical integration of the rate of energy loss against energy curve. The relative accuracy of the results is to about 2% and the absolute accuracy is to better than 5%.
Influence of composition of slag and carbonaceous materials on the wettability at the slag/carbon interface during pulverised coal injection in a blast furnace

Study of slag/char interactions is essential to understand the behaviour of unburnt char within a blast furnace during pulverised coal injection. While slag/carbon reaction kinetics have been reported in the literature, limited work is reported on study of the wetting behaviour in these systems. In the present study, wettability of slag/carbon systems has been investigated by measuring the variation in dynamic contact angle at the slag/carbon interface with time, for different slag compositions and carbonaceous materials, at 1500°C. The influence of liquid and solid composition on wetting has been discussed. The concept of a modified slag composition present at the slag/carbon interface during the interaction is introduced due to the presence of ash in the carbonaceous material. The wetting behaviour is found to be a function of the composition of this modified slag. Increased silica content at the interface, that is lower basicity slags and higher silica bearing carbonaceous materials, result in an improved wetting in the slag/carbon systems, when the iron oxide content is low. This is attributed to the increased reduction of silica at the slag/carbon interface, and when the reaction slows down, to a decreased interfacial tension at the slag/carbon interface ; these contribute to lowering the interfacial energy. For the high iron oxide bearing slag (31.52% Fe 2 O 3 ), the wetting behaviour at the interface is dependent on the slag/iron interaction due to the deposition of the reduced iron at the interface.
Bradykinin-Induced NFAT-Dependent Transcription in Rat Dorsal Root Ganglion Neurons

224 words; Introduction: 600 words; Discussion: 1169 words Abbreviations: BK, bradykinin; BDNF, brain-derived neurotrophic factor; [Ca]i, intracellular Ca concentration; cox-2, cyclooxygenase-2; CPA, cyclopiazonic acid; CSA, cyclosporin A; Ct, crossing threshold; CZP, capsazepine; DRG, dorsal root ganglion; EC50, 50% effective concentration; ER, endoplasmic reticulum; GFP, green fluorescent protein; HHSS, HEPES-Hank’s salt solution; IP3, inositol 1,4,5triphosphate; NFAT, Nuclear Factor of Activated T-cells; NGF, nerve growth factor; PLA2, phospholipase A2; PLC, phospholipase C; PCR, polymerase chain reaction; NSAIDS, non-steroidal anti-inflammatory drugs; SERCA, sarcoplasmicendoplasmic reticulum Ca-ATPase; TRPV1, transient receptor potential vanilloid receptor 1. This article has not been copyedited and formatted. The final version may differ from this version. Molecular Pharmacology Fast Forward. Published on May 7, 2007 as DOI: 10.1124/mol.107. 035048 at A PE T Jornals on Jauary 9, 2021 m oharm . aspeurnals.org D ow nladed from
Ameliorating effects of hormone and Cu on salt stressed Brassica nigra (L.) Koch with reference to growth and biochemical characteristics

The ameliorating effects of exogenous hormone and calcium were investigated in salt-stressed black mustard seedlings (Brassica nigra L.). The seedlings were subjected to various treatments: control (nutrient solution), salt stress, kinetin/abscisic acid (ABA)/calcium chloride (CaCl2). Sodium chloride (NaCl) inhibited shoot length (45–55%) and root (<75%). Further, alterations in superoxide dismutase and catalase activities were consistent with changes in levels of reactive oxygen species and malondialdehyde (MDA). The beneficial effects of ABA and CaCl2 in ameliorating salt stress may be attributed to the reduction of membrane peroxidation and increased glutathione (GSH) levels. These observations suggest that oxidative stress resulting from salt stress in B. nigra may result in production of antioxidative enzymes to counteract oxidative damage, and the enzymes may contribute to the ability of B. nigra to survive adverse conditions. Data indicate that hormone and ion in the order of kinetin > ABA > calcium alleviate the adverse impact of salt on B. nigra.
T OWARDS AN I MPROVED L EXICON OF R ELATIONAL N OUNS

The ability to detect relational nouns has shown importance in NLP tasks, particularly those that involve information extraction. For this purpose, Newell and Cheung (2018) contributed what is considered the first lexicon dedicated exclusively to relational nouns in English. In this paper, we discuss areas of improvement regarding this lexicon and propose possible steps towards an improved database for recognizing and extracting relation information from such nouns. Specific improvements that we hope to motivate are: a more encompassing list of relational nouns based on a broader definition of the term; more informative entries based on the argument structures of each noun; and, the ability to recognize and handle polysemy of nouns that yield both relational and non-relational interpretations. We hope to continue on this work in the future as well as motivate others to take these points into consideration when moving forward with tools for relation extraction.
Effects of Temperature on Laser-Induced Shape Modification of Silver Nanoparticles Embedded in Glass

The influence of temperature on the laser-induced shape modification and dissolution of silver nanoparticles in glass is investigated theoretically and experimentally. Both the local transient temperature increase in close vicinity to a nanoparticle after laser pulse excitation and effects of permanent heating of the whole sample are discussed. It is shown that the heat-affected zone reaching transiently temperatures above 500 K around a nanoparticle should be limited to a few nanometers to enable the intended transformation of initially spherical nanoparticles to prolate shapes with high aspect ratio by irradiation with a few hundred laser pulses. Already relatively small temperature increase of the sample prior to or during irradiation, provided by external sample heating or temperature accumulation in the focal volume at high laser repetition rates, causes partial destruction of the nanoparticles due to increased diffusion length of the emitted Ag cations.
EFFECTS OF DIGITAL EDUCATIONAL INTERVENTION ON COLLABORATIVE LEARNING IN NURSING EDUCATION: A QUASI-EXPERIMENTAL STUDY

Collaborative digital learning is becoming increasingly popular in higher education. However, the use of collaborative digital learning does risk placing too big a responsibility on the learner and reducing face-to-face interaction with the educator. The aim of this quasi-experimental study was to evaluate the effects of digital educational intervention on collaborative learning in nursing education. The intervention group (n=87) studied using collaborative digital learning environment and the control group (n=38) studied in the traditional classroom setting. There were no significant differences between the groups in terms of student satisfaction. However, the students’ satisfaction of studying decreased in the intervention group after completion of the course. In the intervention group students had higher satisfaction in the area of promoting collaborative group work and received statistically significant higher grades in the final course evaluation. This study emphasizes that collaborative digital learning can be an effective approach in nursing education in terms of learning outcomes. It also shows that more study is needed on the role of the teacher in collaborative digital nursing education.
Supplementary Material Matrix Completion with Hierarchical Graph Side Information

A Proofs of Lemmas for Achievability Proof of Theorem 1 17 A.1 Proof of Lemma 1 . 17 A.2 Proof of Lemma 2 . 17 A.3 Proof of Lemma 3 . 21 A.4 Proof of Lemma 4 . 21
Synthesis and characterization of carbon nanotube/polypyrrole core–shell nanocomposites via in situ inverse microemulsion

We demonstrate here a feasible approach to the preparation of multiwalled carbon nanotube (MWNT)/polypyrrole (PPy) core-shell nanowires by in situ inverse microemulsion. Transmission electron microscopy and scanning electron microscopy showed that the carbon nanotubes were uniformly coated with a PPy layer with a thickness of several to several tens of nanometers, depending on the MWNT content. Fourier transform infrared spectra suggested that there was strong interaction between the π-bonded surface of the carbon nanotubes and the conjugated structure of the PPy shell layer. The thermal stability and electrical conductivity of the MWNT/PPy composites were examined with thermogravimetric analysis and a conventional four-probe method. In comparison with pure PPy, the decomposition temperature of the MWNT/PPy (1 wt % MWNT) composites increased from 305 to 335 °C, and the electrical conductivity of the MWNT/PPy (1 wt % MWNT) composites increased by 1 order of magnitude. The current-voltage curves of the MWNT/PPy nanocomposites followed Ohm's law, reflecting the metallic character of the MWNT/ PPy nanocomposites. The cyclic voltammetry measurements revealed that PPy/ MWNT composites showed an enhancement ii the specific charge capacity with respect to that of pure PPy.
U SING P ERIPHERAL M ODELS TO I MPROVE R ESPONSES TO S PEECH IN C OMPUTATIONAL M ODELS OF THE A UDITORY C ORTEX

Computational models of the auditory cortex aim to replicate the brain’s responses to many stimuli, and one of the hardest goals is encoding the rich and varied structure of speech in a robust way. However, often these models oversimplify the modeling of the auditory periphery, approximating them with linear filterbanks. In an attempt to improve the coding of speech stimuli, we adapt a recent two stream model for auditory cortex by augmenting it with a physiologically realistic model of the inner ear, brainstem and inner ear that accurately models the distinctive nonlinearities of these mechanisms ignored by linear approximations. We found that adding this more complex periphery results in spectrally richer responses to vowels and connected speech and improves the model’s ability to encode key features of speech such as higher formant frequencies. These results suggest that future modeling work of the auditory system should emphasize the physiological realism of all stages to best study the coding of complex stimuli such as speech.
Polymeric prodrugs. Synthesis, release study and antimicrobial properties of polymer‐bound acriflavine

A matrix of poly(methyl methacrylate-co-maleic anhydride) with surface containing functional anhydride groups of different percentage was prepared by solution polymerization and characterized. Acriflavine was bound on the surface of this matrix by chemical bonding in organic medium. The amount of acriflavine chemically bound to the matrix was spectroscopically characterized and the in vitro release rate of acriflavine in weakly basic medium was established along with the determination of its antimicrobial activity. Poly(methylmethacrylat-co-maleinsaureanhydrid)-Matrices mit variierendem Gehalt an oberflachenfunktionellen Anhydridgruppen wurden mittels Losungspolymerisation hergestellt und charakterisiert. Acriflavin wurde in organischem Medium chemisch auf der Matrix-Oberflache fixiert. Der an die Matrix gebundene Acriflavin-Anteil wurde spektroskopisch bestimmt, und die Freisetzungsgeschwindigkeit des Acriflavins in schwachem basischem Medium wurde in Verbindung mit der antimikrobiellen Aktivitat in vitro ermittelt.
D3VS: developer-driven dynamic voltage scaling

Energy consumption has become a primary concern in the last decade. One highly effective way to reduce CPU energy while still executing applications is dynamic voltage scaling {DVS) . While DVS makes runtime transitions between power levels possible, thus far the scheduling Of DVS has only been implemented at the system levels. The primary reason for this is that a transition has significant time and energy costs and therefore must be restricted. On the other hand, if developers are given control over DVS and the flexibility to apply it as necessary, then DVS scheduling decisions can include application-specific knowledge. We have developed a runtime support module for developer-driven dynamic voltage scaling (D3 VS) . The module allows applications to be densely populated with DVS scale requests, yet restricts the DVS overhead to 4°~o under reasonable assumptions. To do this, the module does not make power level transitions at every request. Instead, using the past history as hints, it picks a single power level that is representative of the application's behavior. In this thesis we present the analytical models and simulations used in the design of the D3VS runtime support module.
SUPPLEMENTARY MATERIAL. Energy, water and carbon exchanges in managed forest ecosystems: description and evaluation of the INRAE GO+ model, version 3.0

Virginie Moreaux1,11, Simon Martel1,10, Alexandre Bosc1, Delphine Picart1, David Achat1, Christophe Moisy1, Raphael Aussenac1, Christophe Chipeaux1, Jean-Marc Bonnefond1, Pierre Trichet1, Rémi Vezy2, Vincent Badeau3, Bernard Longdoz3, André Granier3, Olivier Roupsard4, Manuel Nicolas5, Kim Pilegaard6, Giorgio Matteucci7, Claudy Jolivet8, Andrew T. Black9, Olivier Picard10, and Denis Loustau1 1Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d’Ornon, F-33140, France 2AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France 3INRAE, UMR SILVA 1434, Champenoux, F-54280, France 4Eco&Sols, Univ. Montpellier, CIRAD, INRAE, IRD, Montpellier SupAgro, Montpellier, France 5ONF, Département RDI, Fontainebleau, F-77300, France 6Technical University of Denmark, Department of Environmental Engineering, 2800 Kgs. Lyngby, Denmark 7CNR,ISAFOM, I-80056 Ercolano (NA) Italy 8INRAE, US1106 InfoSol, Orléans, F-45075, France 9Faculty of Land and Food Systems, Vancouver, BC V6T 1Z4, Canada 10CNPF-IDF, Paris, F-75000 France 11Université de Grenoble-ALpes,CNRS, UMR IGE 5001, Grenoble, F-38058, France
qu an tph ] 2 D ec 2 02 0 Superdeterministic hidden-variables models II : conspiracy

We prove that superdeterministic models of quantum mechanics are conspiratorial in a mathematically well-defined sense, by further development of the ideas presented in a previous article A. We consider a Bell scenario where, in each run and at each wing, the experimenter chooses one of N devices to determine the local measurement setting. We prove, without assuming any features of quantum statistics, that superdeterministic models of this scenario must have a finely-tuned distribution of hidden variables. Specifically, fine-tuning is required so that the measurement statistics depend on the measurement settings but not on the details of how the settings are chosen. We quantify this as the overhead fine-tuning F of the model, and show that F > 0 (corresponding to ‘fine-tuned’) for any N > 1. The notion of fine-tuning assumes that arbitrary (‘nonequilibrium’) hidden-variables distributions are possible in principle. We also show how to quantify superdeterministic conspiracy without using nonequilibrium. This second approach is based on the fact that superdeterministic correlations can mimic actual signalling. We argue that an analogous situation occurs in equilibrium where, for every run, the devices that the hidden variables are correlated with are coincidentally the same as the devices in fact used. This results in extremely large superdeterministic correlations, which we quantify as a drop of an appropriately defined formal entropy. Nonlocal and retrocausal models turn out to be non-conspiratorial according to both approaches.
Sulfate-reducing Bacteria and Mercury Methylation in the Water Column of the Lake 658 of the Experimental Lake Area

Sulfate-reducing bacteria (SRB) appear to be the main mediators of mercury methylation in sediments, which are deemed to be major sites of methylmercury (MMHg) production. However, recent studies have also found significant MMHg formation in the water column of lakes across North America. To investigate the potential involvement of SRB in mercury methylation in the water column of a stratified oligotrophic lake, two of the main families of SRB (Desulfobacteraceae and Desulfovibrionaceae) were quantified by Real-Time Polymerase Chain Reaction of the 16S rRNA gene. MMHg production was measured applying a stable isotope technique using 198HgCl. Methylation assays were conducted at different water depths and under stimulation with lactate, acetate or propionate and inhibition with molybdate. Desulfobacteraceae and Desulfovibrionaceae16S rRNA gene copies in control samples accounted for 0.05% to 33% and <0.01% to 1.12% of the total bacterial 16S rRNA, respectively. MMHg formation was as high as 0.3 ng L−1 day−1 and largest in lactate amended samples. Strain isolation was only achieved in lactate amended media with all isolated strains being SRB belonging to the Desulfovibrio genus according to their 16S rRNA gene sequence. Isolated strains methylated between 0.06 and 0.2% of 198HgCl per day. Acetate and propionate did not stimulate mercury methylation as much as lactate. Two strains were identified as Desulfovibrio sp. 12ML1 (FJ865472) and Desulfovibrio sp. 12ML3 (FJ865473), based on partial sequences of their 16S rRNA and DSR gene. Methylation assays and bacteria characterization suggest that Desulfovibrionaceae is an important mercury methylators in Lake 658. Supplemental materials are available for this article. Go to the publisher's online edition of Geomicrobiology Journal to view the free supplemental file.