Miracle-dz/UniFAR-FTUs huggingface dataset:
Safety assessment and evaluation of probiotic potential of Lactobacillus reuteri strains under in vitro conditions

A B S T R A C T In this study safety and probiotic potential of eight representative Lactobacillus reuteri strains isolated from human infant feces (< 3 months) were determined. These L. reuteri isolates were evaluated for their sensitivity to various antibiotics and production of biogenic amines. L. reuteri isolates were found to be sensitive to most of the tested antibiotics and none of the biogenic amines were produced by these isolates. The safety of the eight indigenous L. reuteri isolates was supported by the absence of transferable antibiotic resistance determinants, DNase activity, gelatinase activity and haemolysis. All the L. reuteri isolates showed resistance to gastric juice and bile. In addition, L. reuteri isolates expressed bile salt hydrolase activity, and had ability to assimilate cholesterol in vitro. In vitro adhesion to HT- 29 cells of up to 69% was recorded. These isolates also demonstrated free radical scavenging activity. According to these results, L. reuteri isolates are generally free from virulence traits, have good probiotic potential and may be exploit in dairy industry and probiotic preparations.
Statistics of a passive scalar in homogeneous turbulence

Statistics of a passive scalar with Sc=1 transported by steady homogeneous turbulence at Rλ=427 and Pλ=427 is studied by using high-resolution direct numerical simulation. The Obukhov–Corrsin constant of the three-dimensional scalar spectrum in the inertial-convective range is found to be 0.68±0.04. It is proved that the -law for the scalar-velocity triple correlation holds in both inertial-convective and viscous-convective ranges when Sc>1, and found that the -law is approached with increase in Péclet number. Structure functions of the passive scalar increment and their local scaling exponents are computed as functions of the separation distance, and it is found that there exist two scaling ranges: the inertial-convective range and a narrow precursory range to the viscous-convective range. The scaling exponents in the inertial-convective range are found to be smaller than those of the velocity field and do not saturate, whereas they saturate at about 1.5 in the short precursory range to the viscous-convective range. It is also found that, contrary to the scalar case, the mixed scalar velocity structure function has a well-developed single scaling range. The scalar and scalar dissipation fields are visualized and compared with the kinetic energy dissipation field. The scalar field has a particular shape with a large-scale plateau, sharp cliff and deep valley, a mesa-canyon structure.
Inertial-particle accelerations in turbulence: a Lagrangian closure

The distribution of particle accelerations in turbulence is intermittent, with non-Gaussian tails that are quite different for light and heavy particles. In this article we analyse a closure scheme for the acceleration fluctuations of light and heavy inertial particles in turbulence, formulated in terms of Lagrangian correlation functions of fluid tracers. We compute the variance and the flatness of inertial-particle accelerations and we discuss their dependency on the Stokes number. The closure incorporates effects induced by the Lagrangian correlations along the trajectories of fluid tracers, and its predictions agree well with results of direct numerical simulations of inertial particles in turbulence, provided that the effects induced by inertial preferential sampling of heavy/light particles outside/inside vortices are negligible. In particular, the scheme predicts the correct functional behaviour of the acceleration variance, as a function of $St$ , as well as the presence of a minimum/maximum for the flatness of the acceleration of heavy/light particles, in good qualitative agreement with numerical data. We also show that the closure works well when applied to the Lagrangian evolution of particles using a stochastic surrogate for the underlying Eulerian velocity field. Our results support the conclusion that there exist important contributions to the statistics of the acceleration of inertial particles independent of the preferential sampling. For heavy particles we observe deviations between the predictions of the closure scheme and direct numerical simulations, at Stokes numbers of order unity. For light particles the deviation occurs for larger Stokes numbers.
Strategic Technological Sourcing Decisions in the Context of Timing and Market Strategies: An Empirical Analysis

In times of changing business models and international competition, there is an inherent need for companies to foster and develop mechanisms to absorb new technologies for innovative products and processes effectively. Such considerations lead to the strategic make-or-buy decision which was the subject of our research. This quantitative explanatory study in the German industry shows in particular that companies base their decision for internal or external sourcing on multiple weighted criteria with scoring models and, even more common, with portfolio matrices. These results are in common with recent research, however, other results are surprising, e.g. just a small minority of companies involve people from controlling and legal departments in these decision processes. The paper also reveals differences between companies with different timing and competitive strategies, which are in line with the proposed characteristics of these strategic focuses in literature. Implications for theory and practice are given to foster future research in this area.
P‐81: Twisted Nematic Reflective Display with Internal Wire Grid Polarizer

We studied the optical performance of reflective wire grid polarizer designed for visible light. The polarizer reflects E‐polarization and transmits H‐polarization with low losses. When used in a twisted nematic (TN) device as a back polarizer it enhances the brightness and provides high contrast ratio at wide viewing angles. By placing the wire grid polarizer within the cell, viewing parallax is eliminated. The polarizer can also be used as the rear electrode.
Uncertainty in Modeled Upper Ocean Heat Content 1 Change 2

This paper examines the uncertainty in the change in the uptake of 6 heat in the ocean component of a general circulation model. We describe the 7 design and implementation of our methodology which uses a statistical emulator. 8 Using an ensemble of outcomes for the uptake of heat by the ocean from an 9 Atmosphere/Ocean General Circulation Model, the Community Climate System 10 Model v. 3. , we produce an estimate of the full probability distribution function 11 (PDF) for this metric across a multi-dimensional input space which is equivalent to 12 a Monte Carlo calculation with a very large ensemble of outcomes (5000). We show 13 how emulator of the GCM’s heat uptake and hence, the PDF can be validated and 14 how implausible outcomes from the emulator can be identified when compared to 15 an observational estimate of the metric. In addition, the paper describes how the 16 emulator outcomes and related uncertainty information might inform estimates 17 of the same metric from a multi-model CMIP3 ensemble. We illustrate how to 18 R. Tokmakian Oc/tk, Department of Oceanography ,Bldg 232, Rm 328, Naval Postgraduate School Monterey, California, 93943 Tel. : +831-656-3255 Fax: +831-656-2710 E-mail: rtt@nps.edu P.Challenor National Oceanography Centre, Southampton, UK DRAFT 2 Robin Tokmakian, Peter Challenor 1) construct an ensemble based on design experiment methods, 2) construct and 19 evaluate an emulator for a particular metric or outcome of a complex model, 3) 20 validate the emulator using observational estimates and explore the input space 21 with respect to implausible outcomes and 4) contribute to the understanding of 22 uncertainties with a multi-model ensemble. Finally, we give estimates of the most 23 likely estimate of heat content change (or heat uptake) and its uncertainty with 24 respect to both observations and an uncertainty in the input parameter space. 25
Interannual response of global ocean hindcasts to a satellite-based correction of precipitation fluxes

Abstract. We present a methodology to correct precipitation fluxes from the ECMWF atmospheric reanalysis (ERA-Interim) for oceanographic applications. The correction is performed by means of a spatially varying monthly climatological coefficient, computed within the period 1989–2008 by comparison between ERA-Interim and a satellite-based passive microwave precipitation product. ERA-Interim exhibits a systematic over-estimation of precipitation within the inter-tropical convergence zones (up to 3 mm d−1) and under-estimation at mid- and high- latitudes (up to −4 mm d−1). The correction has been validated within eddy-permitting resolution global ocean hindcasts (1989–2009), demonstrating the ability of our strategy in attenuating the 20-yr mean global EMP negative imbalance by 16%, reducing the near-surface salinity fresh bias in the Tropics up to 1 psu and improving the representation of the sea level interannual variability, with an SSH error decrease of 8%. The ocean circulation is also proved to benefit from the correction, especially in correspondence of the Antarctic Circumpolar Current, where the error in the near-surface current speed decreases by a 9%. Finally, we show that the correction leads to volume and freshwater transports that better agree with independent estimates.
Clustering Health Trajectories Using Hidden Markov Models

In this paper we describe an algorithm for clustering multivariate time series with variables taking both categorical and continuous values. Time series of this type are frequent in health care, where they represent the health trajectories of individuals. The problem is challenging because categorical variables make it difficult to define a meaningful distance across trajectories. We propose an approach based on Hidden Markov Models (HMMs), where we first map each trajectory into an HMM, then define a suitable distance between HMMs and finally proceed to cluster the HMMs with a method based on a distance matrix. We test our approach on a simulated, but realistic, data set of 1,200 trajectories of individuals of age 45 and over. In addition to our preferred definition of distance between HMMs, based on the Kullback-Leibler divergence, we test an alternative definition and obtain a very similar cluster structure. The proposed method can be implemented quite simply with standard tools and packages in R and Matlab and may be a good candidate for solving the difficult problem of clustering multivariate time series with categorical variables.
EFFECTS OF PHOSPHORUS DEFICIENCY ON ANATOMICAL STRUCTURES IN MAIZE (ZEA MAYS L.)

Anatomical response of maize (Zea mays L.) to phosphorus deficiency grown in sand culture and half strength Hoagland solution revealed that phosphorus deficiency caused a decrease in diameter of the root and stem as well as thickness of the leaf. Epidermal cells of the root, stem and leaf became thickened, cortical zone of root and stem was reduced, endodermal and pericycle cells became smaller and thick walled in phosphorus deficient plants. The prominent structural changes due to phosphorus deficiency occurred in the vascular system where the vascular area is decreased with less number of xylem vessels and smaller size of the cavity. Phosphorus deficiency also resulted in decreased number and smaller sized stomata in leaves.
Asymptotic Properties of Residual Based Tests for Cointegration

This paper develops an asymptotic theory for residual based tests for cointegration. Attention is given to the augmented Dickey-Fuller (ADF) test and the Z(subscript "alpha") and Z(subscript "t") unit root tests. Two new tests are also introduced. The tests are shown to be asymptotically similar, and simple representations of their limiting distributions are given and asymptotic critical values are tabulated. The ADF and Z(subscript "t") tests are asymptotically equivalent. Power properties of the test are also studied. The tests are consistent if suitably constructed, but the ADF and Z(subscript "t") tests have slower rates of divergence under cointegration than the other tests. Copyright 1990 by The Econometric Society.
SSSC Based Wide-Area PSS for Stability Enhancement of Interconnected Power System under Small Disturbance

In this paper, design a Wide-area Power System Stabilizer (WPSS) to damp-out the inter-area oscillations in a large scale power system by using Static Synchronous Series Composator (SSSC). Genetic Algorithm (GA) is used in order to find the controller parameters. Some simulations results on Kundur Two-Area Four Machine system show that the proposed controller effectively dampout the inter-area oscillations.
Multi-Time Multi-Scale Correlation Functions in Hydrodynamic Turbulence

High Reynolds numbers Navier-Stokes equations are believed to break self-similarity concerning both spatial and temporal properties: correlation functions of different orders exhibit distinct decorrelation times and anomalous spatial scaling properties. Here, we present a systematic attempt to measure multi-time and multi-scale correlations functions, by using high Reynolds numbers numerical simulations of fully homogeneous and isotropic turbulent flow. The main idea is to set-up an ensemble of probing stations riding the flow, i.e. measuring correlations in a reference frame centered on the trajectory of distinct fluid particles (the quasi-Lagrangian reference frame introduced by Belinicher & L'vov, Sov. Phys. JETP 66, 303 (1987)). In this way we reduce the large-scale sweeping and measure the non-trivial temporal dynamics governing the turbulent energy transfer from large to small scales. We present evidences of the existence of dynamic multiscaling: multi-time correlation functions are characterized by an infinite set of characteristic times.
A Novel Ontology Matching Technology Based on NSGA-II

Ontology is constructed or researchers to overcome the heterogeneous problem in a domain, but merely using ontology may raise the heterogeneous problem to a higher level. To solve the heterogeneous problem between two ontologies, it is necessary to determine the relationships that hold between the entities in them. The process of ﬁnding these correspondences is called ontology matching and the matching results are called ontology alignment. Various ontology matching approaches have been proposed so far, and the Evolutionary Algorithm (EA) based ontology matching technologies have been attracting more and more attentions, although the quality of the alignments obtained and the eﬃciency of the algorithm are both barely satisfactory. To address these issues in EA based ontology matching technologies, in this paper, an novel ontology matching technology based on NSGA-II is presented. In particular, in our work, a novel similarity measure based on Information Theory and a special mapping extraction approach based on the Naive Descending Extraction (NDE) algorithm are respectively proposed, a Multi-objective optimal model for ontology matching problem is presented and the problem-speciﬁc NSGA-II is designed. Experimental results show that our proposal is eﬃcient and can ﬁnd the best solution so far.
Evolution of cosmic star formation in the SCUBA-2 Cosmology Legacy Survey

We present a new exploration of the cosmic star formation history and dust obscuration in massive galaxies at redshifts 0.5 10(10) M-O galaxies at 0.5 10. One third of this is accounted for by 450 mu m-detected sources, while one-fifth is attributed to UV-luminous sources (brighter than L-UV(*)), although even these are largely obscured. By extrapolating our results to include all stellar masses, we estimate a total SFRD that is in good agreement with previous results from IR and UV data at z <= 3, and from UV-only data at z similar to 5. The cosmic star formation history undergoes a transition at z similar to 3-4, as predominantly unobscured growth in the early Universe is overtaken by obscured star formation, driven by the build-up of the most massive galaxies during the peak of cosmic assembly.
A NEW 2 D NON-SPURIOUS DISCONTINUOUS GALERKIN FINITE ELEMENT TIME DOMAIN ( DG-FETD ) METHOD FOR MAXWELL ’ S EQUATIONS

A new discontinuous Galerkin Finite Element Time Domain (DG-FETD) method for Maxwell’s equations is developed. It can suppress spurious modes using basis functions based on polynomials with the same order of interpolation for electric field intensity E and magnetic flux density B. Compared to FETD based on EH scheme, which requires different orders of interpolation polynomials for electric and magnetic field intensities, this method uses fewer unknowns and reduces the computation load. The discontinuous Galerkin method is employed to implement domain decomposition for the EB scheme based FETD. In addition, a well-posed time-domain perfectly matched layer (PML) is extended to the EB scheme to simulate the unbounded problem. Leap frog method is utilized for explicit time stepping. Numerical results demonstrate that the above proposed methods are effective and efficient for 2D time domain TMz multi-domain problems.
ISING MODEL OF DIFFUSION IN MOLECULAR SIEVES

We have developed a new analytical theory for activated diffusion in zeolites at finite loadings, including the effect of adsorbate-adsorbate interactions. Excellent qualitative agreement is obtained comparing our new theory to kinetic Monte Carlo simulations. We have applied this theory to benzene diffusion in faujasite, to help resolve discrepancies among different experiments. Our results are in qualitative agreement with pulsed field gradient NMR, and in qualitative disagreement with tracer zerolength column data. [S0031-9007(98)06457-6]
Motion Detection for Security Surveillance

This paper deals with the design and Implementation of Smart surveillance monitoring system using Raspberry pi and CCTV camera. This design is a small portable monitoring system for home and college security. This system will monitor when motion detected, the Raspberry Pi will control the Raspberry Pi camera to take a picture and sent out image to the user according to the program written in python environment. The proposed home security system captures information and transmits it via a Raspberry towards pc. Raspberry pi operates and controls motion detectors and CCTV camera for remote sensing and surveillance, streams live records it for future playback. Python software plays an important role in this project.
Oracle and Multiple Robustness Properties of Survey Calibration Estimator in Missing Response Problem

In the presence of missing response, reweighting the complete case subsample by the inverse of nonmissing probability is both intuitive and easy to implement. However, inverse probability weighting is not efficient in general and is not robust against misspecification of the missing probability model. Calibration was developed by survey statisticians for improving efficiency of inverse probability weighting estimators when population totals of auxiliary variables are known and when inclusion probability is known by design. In missing data problem we can calibrate auxiliary variables in the complete case subsample to the full sample. However, the inclusion probability is unknown in general and need to be estimated in missing data problems and it is unclear whether calibration is robust against misspecification of the missing probability model. It is also unclear how efficient calibration is for general missing data problem. This paper answers these two questions and presents two rather unexpected results. First, when the missing data probability is correctly specified and multiple working outcome regression models are posited, calibration enjoys an oracle property where the same semiparametric efficiency bound is attained as if the true outcome model is known in advance. Second, when the missing mechanism is misspecified, calibration can still be a consistent estimator when any one of the outcome regression model is correctly specified. This is a multiple robustness property more general than double robustness considered the missing data literature. We provide connections of a wide class of calibration estimator constructed based on generalized empirical likelihood to many existing estimators in biostatistics, econometrics and survey sampling and perform simulation studies to study the finite sample properties of calibration estimators.
Noninvasive Electromagnetic Wave Sensing of Glucose

Diabetic patients need long-term and frequent glucose monitoring to assist in insulin intake. The current finger-prick devices are painful and costly, which places noninvasive glucose sensors in high demand. In this review paper, we list several advanced electromagnetic (EM)-wave-based technologies for noninvasive glucose measurement, including infrared (IR) spectroscopy, photoacoustic (PA) spectroscopy, Raman spectroscopy, fluorescence, optical coherence tomography (OCT), Terahertz (THz) spectroscopy, and microwave sensing. The development of each method is discussed regarding the fundamental principle, system setup, and experimental results. Despite the promising achievements that have been previously reported, no established product has obtained FDA approval or survived a marketing test. The limitations of, and prospects for, these techniques are presented at the end of this review.
Autonimic energy-aware task scheduling

The increasing processing capability of data-centers increases considerably their energy consumption which leads to important losses for companies. Energy-aware task scheduling is a new challenge to optimize the use of the computation power provided by multiple resources. In the context of Cloud resources usage depends on users requests which are generally unpredictable. Autonomic computing paradigm provides systems with self-managing capabilities helping to react to unstable situation. This article proposes an autonomic approach to provide energy-aware scheduling tasks. The generic autonomic computing framework FrameSelf coupled with the CloudSim energy-aware simulator is presented. The proposed solution enables to detect critical schedule situations and simulate new placements for tasks on DVFS enabled hosts in order to improve the global energy efficiency.
Management of Helicobacter Pylori Infection

Helicobacter pylori (H. pylori) is one of the most prevalent bacterial infections within the world and has been clearly associated with peptic ulcer disease, gastric adenocarcinoma, gastric Mucosa-associated Lymphoid Tissue (MALT) lymphomas, idiopathic thrombocytopenia purpura, sideropenic anemia and vitamin B12 deficiency. Multiple worldwide studies have been conducted to identify the optimal therapeutic regimen for H pylori. This article aims to review the evidence behind triple therapy, quadruple therapy, sequential therapy and other therapeutic regimens in the eradication of this problematic disease.