Miracle-dz/UniFAR-FTUs huggingface dataset:
qu an tph ] 1 9 M ar 2 01 8 Weak values in collision theory

Weak measurements have an increasing number of applications in contemporary quantum mechanics. They were originally described as a weak interaction that slightly entangled the translational degrees of freedom of a particle to its spin, yielding surprising results after post-selection. That description often ignores the kinetic energy of the particle and its movement in three dimensions. Here, we include these elements and re-obtain the weak values within the context of collision theory by two different approaches, and prove that the results are compatible with each other and with the results from the traditional approach. To provide a more complete description of the Stern-Gerlach apparatus, we use weak vectors, a generalization of the weak values.
Estimates of genetic parameters and expected genetic gains with selection in robust coffee

The present paper aimed to study the genetic variation of 15 half-sib progenies of robust coffea ( Coffea canephora Pierre). The trial was conducted at the Instituto Agronomico de Campinas (IAC/APTA) in a randomized complete block design with seven replications and one tree-plot. Annual and joint analyses of variance were obtained to estimate the genetic paramet ers for yield, in order to quantify the genetic gain from selection in eight production years. The genotypic variation coefficient s indicated expressive genetic variability for improvement of the yield. On account of the high variation in annual production, it is recommended that selection should be based on the general mean of the years. In low yield years, larger heritability values, coefficients of genetic variation, index of genotypic determination, and genetic gains were estimated.
DETECTION AND DIAGNOSIS OF UNIT-WIDE OSCILLATIONS

This article addresses the detection and diagnosis of oscillations in process measurements. It uses the power spectra of the measurements because the spectra are insensitive to the phase lags caused by time delays and process dynamics. Principal components analysis (PCA) can be applied to the power spectra for detection of groups of oscillatory process measurements. In cases where a well defined periodic oscillation is detected then diagnosis of the root cause is possible using a measure of harmonic distortion. Examples using this measure are discussed and its suitability for diagnosis assessed.
Institutionalisation of Enterprise Systems through Organisational Isomorphism

The analysis of IS implementation and lifecycle management theories concludes that, ERP systems or for that matter any information system is a socio-technical system; and the social, cultural, organisational and competitive context of their implementation cannot be ignored. Various institutional pressures are exerted on ERP initiation, adoption, and routinization by organisations to achieve competitive, economic, social, environmental and organisational legitimacy and authority. There are theoretical supports available for environmental isomorphic mechanisms; however, comparing to tremendous amount of studies on coercive, normative, and mimetic, there are little studies that actually look at other organisational and internal institutional elements which are influencing technology implementation, assimilation and institutionalisation process. This research aims to fill this gap by introducing perceptive, confirmative, and configurative mechanisms as new forms of institutional isomorphism, i.e., organisational isomorphism.
Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations

Abstract. The coarse spatial resolution of global hydrological models (typically > 0.25°) limits their ability to resolve key water balance processes for many river basins and thus compromises their suitability for water resources management, especially when compared to locally tuned river models. A possible solution to the problem may be to drive the coarse-resolution models with locally available high-spatial-resolution meteorological data as well as to assimilate ground-based and remotely sensed observations of key water cycle variables. While this would improve the resolution of the global model, the impact of prediction accuracy remains largely an open question. In this study, we investigate the impact of assimilating streamflow and satellite soil moisture observations on the accuracy of global hydrological model estimations, when driven by either coarse- or high-resolution meteorological observations in the Murrumbidgee River basin in Australia. To this end, a 0.08° resolution version of the PCR-GLOBWB global hydrological model is forced with downscaled global meteorological data (downscaled from 0.5° to 0.08° resolution) obtained from the WATCH Forcing Data methodology applied to ERA-Interim (WFDEI) and a local high-resolution, gauging-station-based gridded data set (0.05°). Downscaled satellite-derived soil moisture (downscaled from ∼ 0.5° to 0.08° resolution) from the remote observation system AMSR-E and streamflow observations collected from 23 gauging stations are assimilated using an ensemble Kalman filter. Several scenarios are analysed to explore the added value of data assimilation considering both local and global meteorological data. Results show that the assimilation of soil moisture observations results in the largest improvement of the model estimates of streamflow. The joint assimilation of both streamflow and downscaled soil moisture observations leads to further improvement in streamflow simulations (20 % reduction in RMSE). Furthermore, results show that the added contribution of data assimilation, for both soil moisture and streamflow, is more pronounced when the global meteorological data are used to force the models. This is caused by the higher uncertainty and coarser resolution of the global forcing. We conclude that it is possible to improve PCR-GLOBWB simulations forced by coarse-resolution meteorological data with assimilation of downscaled spaceborne soil moisture and streamflow observations. These improved model results are close to the ones from a local model forced with local meteorological data. These findings are important in light of the efforts that are currently made to move to global hyper-resolution modelling and can help to advance this research.
An improved active learning method based on feature selection

An improved active learning method taking advantage of feature selection technique is proposed. In early stages of active learning, the whole dataset is described using only the few key features, so that its overall distribution characteristic can be learned easily, reducing active learning's possibility of falling into bad local optimum. As active learning proceeds, more and more data get labeled. Only then are detailed features of the dataset gradually added to further enhance the model's classification performance. Experiments show that it is more efficient and more robust than traditional technique.
Language independent content extraction from web pages

In this paper we present a simple, robust, accurate and language-independent solution for extracting the main content of an HTML-formatted Web page and for removing additional content such as navigation menus, functional and design elements, and commercial advertisements. This method creates a text density graph of a given Web page and then selects the region of the Web page with the highest density. The results are comparable or better than state-of-the-art methods that are computationally more complex, when evaluated on a standard dataset. Accurate and efficient content extraction from Web pages is largely needed when searching or mining Web content.
Comparative Proteomics and Network Analysis Identify PKC Epsilon Underlying Long-Chain Fatty Acid Signaling

Long-chain fatty acid possesses myriad roles in the biological function of the cells, not only as an energy substrate but also as substrates for cell membrane synthesis and as precursors for intracellular signaling molecules. However, little is known about the biological pathways that are stimulated by long-chain fatty acid. In order to identify the pathway of long-chain fatty acid, we performed 2-dimensional gel electrophoresis in the cells treated with or without oleate, and then analyzed 648 protein spots using PDQuest software and narrowed down 22 significant changing spots by statistical criterion. We also tried to determine these spots by MALDI-QIT-TOF-MS and SWISSPROT database query. We identified 11 proteins and predicted the biological network using available data sets from protein-protein interaction database. This prediction indicated that several protein kinase Cs (PKCs) underlie longchain fatty acid signaling. Indeed, oleate stimulated predicted PKC pathways. In expression array, oleate significantly up-regulated only PKC epsilon, but not other PKCs, in transcriptional levels. Collectively, our proteomics and network analysis implicates that PKC epsilon pathway plays an important role in long-chain fatty acid signaling.
A second order splitting algorithm for thermally‐driven flow problems

A splitting technique for solutions of the Navier—Stokes and the energy equations, in Boussinesq approximately, is presented. The equations are first integrated in time using a splitting procedure and then discretized spatially by means of a high‐order spectral element method. The whole technique is validated on the flow in a differentially‐heated cavity at intermediate and transitional Rayliegh numbers. The results are in a very good agreement with other available numerical solutions.
Design of 8-Bit Comparator Using 45nm CMOS Technology

In this paper design of 8- bit binary comparator using 45nm CMOS technology is discussed. This design needs less area and less number of transistors, also discussed about power and execution time. The circuit has three output X, Y and Z. X is active high, when A>B, Y is active high when A=B and Z is active high when both X and Y are active low. Design 1- bit comparator with the help of precharge gate.The design of 1-bit comparator has been extended to implement an 8-bit comparator by connecting in series with pass transistor between them. The design has been implemented in Microwind3.1, is tested successfully and has been validated using Pspice for different measurable parameter. Keywords: Power, VLSI, 45nm CMOS technology, area, no of transistors, execution time.
Prey predator interactions in the face of management regulations: changes in Mediterranean small pelagics are not due to increased tuna predation

Recently, the abundance of young Atlantic bluefin tuna (Thunnus thynnus) tripled in the northwestern Mediterranean following effective management measures. We investigated whether its predation on sardine (Sardina pilchardus) and anchovy (Engraulis encrasicolus) could explain their concurrent size and biomass decline, which caused a fishery crisis. Combining the observed diet composition of bluefin tuna, their modelled daily energy requirements, their population size, and the abundance of prey species in the area, we calculated the proportion of the prey populations that were consumed by bluefin tuna annually over 2011–2013. To assess whether tuna could alter the size structure of the three small pelagic fish populations (anchovy, sardine, and sprat (Sprattus sprattus)), the size distributions of the consumed prey species were compared with those of the wild populations. We estimated that the annual consumption of small pelagic fish by bluefin tuna is less than 2% of the abundance of these populations. Fu.
Phase-Correlated Imaging from Multi-Threaded Spiral Cone-Beam CT Scans of the Heart

Phase-correlated CT, as it is used for cardiac imaging, is the most popular and the most important but also the most demanding special CT application, today. Ba- sically it fulfills the task of depicting a quasi-periodically moving object with significantly reduced motion artifacts. Although the image quality using phase-correlated proto- cols and reconstruction techniques is significantly better than the image quality obtained with standard (not phase- correlated) techniques there still are motion artifacts re- maining and further improvements in temporal resolution are still required. These can be either obtained by further increasing the rotation speed or by having more than one source-detector system rotating around the patient. Increasing rotation speed is mainly an engineering issue and due to increased centrifugal forces it appears unlikely to go significantly below the trot = 0.33 s that are available already. We therefore consider a spiral cone-beam CT scan- ner that has G tubes and detectors mounted and call this device a multi-threaded or G-threaded CT scanner. Aim- ing for improved temporal resolution the relative temporal resolutionis studied as a function of the motion rate (e.g. the heart rate fH) and the degree of scan overlap (i.e. the pitch value p for spiral scans or the number of rotations for a circle scan that corresponds to 1/p) for various configu- rations. The parameters to optimize for are the number of threads G and the interthread angles �˜ and �ˆ �. Due to practical reasons we restrict ourselves to double-threaded (G = 2) and triple-threaded (G = 3) although our optimiza- tion algorithm can cope with any number of threads. For G = 2 we found the optimum whenever the angle be- tween the tubes is 90 ◦ and when both threads are mounted in the same axial plane. Mounting the threads longitudi- nally offset results only in a slight reduction of the temporal resolution. The optimum interthread angles for G = 3 are 60 ◦ or 120 ◦ ; both result in identical temporal resolution val- ues. We further found that the mean temporal resolution achievable with an optimized multi-threaded CT scanner is a factor of G better than the mean temporal resolution ob- tained with a single-threaded scanner. This finding meets the expectations. Approximate image reconstruction of multi-threaded rawdata is performed by modifying the EPBP cone-beam reconstruction algorithm. Reconstructions of a simulated cardiac motion phantom are shown and turn out to improve with increasing G.
econstor Make Your Publications Visible . A Service of zbw

Consider a contract over trade in continuous time between two players, according to which one player makes a payment to the other, in exchange for an exogenous service. At each point in time, either player may unilaterally require an adjustment of the contract payment, involving adjustment costs for both players. Players’ payoffs from trade under the contract, as well as from trade under an adjusted contract, are exogenous and stochastic. We consider players’ choice of whether and when to adjust the contract payment. It is argued that the optimal strategy for each player is to adjust the contract whenever the contract payment relative to the outcome of an adjustment passes a certain threshold, depending among other things of the adjustment costs. There is strategic substitutability in the choice of thresholds, so that if one player becomes more aggressive by choosing a threshold closer to unity, the other player becomes more passive. If players may invest in order to reduce the adjustment costs, there will be over-investment compared to the welfare maximizing levels. JEL Code: C72, C73, C78, E31. Helge Holden Department of Mathematical Sciences Norwegian University of Science and Technology 7491 Trondheim Norway holden@math.ntnu. no Lars Holden Norwegian Computing Center P.O. Box 114 Blindern 0314 Oslo Norway lars.holden@nr.no Steinar Holden Department of Economics University of Oslo P.O. Box 1095 Blindern 0317 Oslo Norway steinar.holden@econ.uio. no
Bayesian Predictive Synthesis: Forecast Calibration and Combination

The combination of forecast densities, whether they result from a set of models, a group of consulted experts, or other sources, is becoming increasingly important in the fields of economics, policy and finance, among others. Requiring methodology that goes beyond standard Bayesian model uncertainty and model mixing - with its well-known limitations based on a clearly proscribed theoretical basis - multiple 'density combination' methods have been proposed. While some proposals have demonstrated empirical success, most apparently lack a core philosophical and theoretical foundation. Interesting recent examples generalize the common 'linear opinion pool' with flexible mixing weights that depend on the forecast variable itself - i.e., outcome-dependent mixing. Taking a foundational subjective Bayesian perspective, we show that such a density combination scheme is in fact justified as one example of Bayesian agent opinion analysis, or 'predictive synthesis'. This logically coherent framework clearly delineates the underlying assumptions as well as the theoretical constraints and limitations of many combination 'rules', defining a broad class of Bayesian models for the general problem. A number of examples, including an application to a set of predictive densities in foreign exchange, provide illustrations.
The financing of the productive service through HCC

The use of HCC in areas of acquisition, utilization, and preservation of human capital. Economic effects of such sectors – acceleration of professional fulfillment, better professional performance, longer zenith and horizon of productive fulfillment. Proposal and substantiation of the HCC based on the transferred price to ensure that economic effects through the relevant mechanisms (and not on the basis of the institutional system entities) serve as the source of financing for the entities that contributed to them and are distributed based on the contribution of such entities to the achievement thereof. A transferred price is a contract, where a productive service recipient makes payments based on the potential benefits accrued as a result of the productive service and based on the amount of returns generated from the productive service – directly to the productive service provider. Effects of some productive services only materialize in the form of longer horizon of productive fulfillment.
Title Study of displacement current effect for planar coils in layeredmedium

In this paper, a full-wave semi-analytical solution of self and mutual impedances for a coil-based system is proposed. It consists of two concentric circular coils with rectangular cross sections. Traditionally, the calculation of self and mutual impedances of these coils are based on eddy current approximation, where a simple background is assumed to achieve analytical and semi-analytical solutions. As the system operates at higher frequencies and with inhomogeneous media, the displacement current has to be taken into account. By deriving Maxwell’s equations without eddy current assumption, the impedances of coils immersed in the layered medium can be obtained analytically. The results show a considerable discrepancy at subGHz frequencies, indicating the significant effect of displacement current at higher frequencies for a coil-based wireless power transfer link.
Fieldbus networks: real-time from the perspective of the application tasks

Fieldbus communication networks aim to interconnect sensors, actuators and controllers within distributed computer-controlled systems. Therefore they constitute the foundation upon which real-time applications are to be implemented. A potential leap towards the use of fieldbus in such time-critical applications lies in the evaluation of its temporal behaviour. In the past few years several research works have been performed on a number of fieldbuses. However, these have mostly focused on the message passing mechanisms, without taking into account the communicating application tasks running in those distributed systems. The main contribution of this paper is to provide an approach for engineering real-time fieldbus systems where the schedulability analysis of the distributed system integrates both the characteristics of the application tasks and the characteristics of the message transactions performed by these tasks. In particular, we address the case of system where the Process-Pascal multitasking language is used to develop P-NET based distributed applications.
Nouvelles formulations int?grales pour les probl?mes de diffraction d'ondes

We present an integral equation method for solving boundary value problems of the Helmholtz equation in unbounded domains. The method relies on the factorisation of one of the Calderon projectors by an operator approximating the exterior admittance (Dirichlet to Neumann) operator of the scattering obstacle. We show how the pseudo-differential calculus allows us to construct such approximations and that this yields integral equations without internal resonances and being well-conditioned at all frequencies. An implementation technique is elaborated, where again reasonings from pseudo-differential calculus play an important role. Some numerical examples are presented which appear to confirm that the new integral equation leads to linear systems which are much better conditioned than the classical ("direct") integral equations and hence have much better behaviour when solved with iterative techniques and matrix sparsification.
Perspectives on High Real Interest Rates in Turkey

The Turkish economy is typically characterized as having particularly high real interest rates. Fundamental considerations, such as high growth rates or high returns to capital, do not provide a satisfactory resolution of this puzzle. Instead, we find that two other factors - doubts about the sustainability of disinflation and the existence of a risk premium - have a significant impact on the level of real interest rates in Turkey. Importantly, fiscal policy variables are shown to affect both these factors, suggesting that a more credible and prudent fiscal policy can help reduce real interest rates in Turkey.
Phytochemical composition and in vitro pharmacological activity of rose hip (Rosa canina L.)

Rose hip (Rosa canina L.) Commonly known as the dog-rose, is a variable climbing wild rose species native to Europe, northwest Africa and western Asia. The aim of this study is to review its phytochemical composition and in vitro pharmacological activity. This review article was carried out by searching studies in PubMed, Medline, , Web of Science, and IranMedex databases up to 2016.totally, of 103 found articles,40 articles(42 in vitro and 5 animal studies) were included. The search terms were “Rose hip (Rosa canina L)”,“therapeutic”, “pharmacological”, Phytochemical . Various studies have shown that Rose hip (Rosa canina L.) Possess Antioxidant properties, Antibacterial and anti-cancer properties, Skin care properties, Antioxidant, anti-inflammatory and cytotoxic activity, Renal disturbances ,Anticancer properties, Anti-inflammatory properties, Hydro alcohol properties, melanogenesis properties, Pharmacological activity ,Anti-obese properties, Neutrophil respiratory burst, Chryptoxanthin properties, Immunomodulatory properties, Osteoarthritis properties, Antidiabetic properties, Hepatoprotective, Antidiarrheal properties. Rose hip (Rosa canina L.) is widely used for therapeutic and purposes that trigger its significant value. Various combinations and numerous medicinal properties of its extract, essential oils, its stems and leaves demand further and more studies about the other useful and unknown properties of this multipurpose plant.