Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of ellagic acid on the expression of human telomerase reverse transcriptase ( hTERT ) α + β + transcript in estrogen receptor-positive MCF-7 breast cancer cells

Objectives: To evaluate the potential of ellagic acid to inhibit the expression of human telomerase reverse transcriptase (hTERT) α+β+ splice variant in MCF-7 breast cancer cells. Design and methods: MCF-7 cells were incubated with ellagic acid (10 9 M–10 M) in the absence and in the presence of 17β-estradiol (10 M), a known inducer of hTERT transcription, and hTERT α+β+ mRNA expression was quantified by real-time RT-PCR. 17β-estradiol and ICI182780, a known estrogen antagonist, served as positive and negative controls respectively. Results: Ellagic acid, when alone, increased hTERT α+β+ mRNA while its coexistence with 17β-estradiol reduced significantly the 17βestradiol-induced increase in hTERT α+β+ mRNA, implicating thus both its estrogenic and anti-estrogenic effects in breast cancer cells. Conclusions: The potential of ellagic acid to down-regulate the 17β-estradiol-induced hTERT α+β+ mRNA expression may be a mechanism via which ellagic acid exerts, at least in part, its chemopreventive effects in breast cancer. © 2009 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
Physiologic Changes and Nutrient Intake in Female Participants during a Simulated 80.5 Kilometer Ultramarathon Run: A Pilot Study

C l i n M e d International Library Citation: Van Zant RS, Grogg J, Schoon J, Exposito J, Carroll M (2015) Physiologic Changes and Nutrient Intake in Female Participants during a Simulated 80.5 Kilometer Ultramarathon Run: A Pilot Study. Int J Sports Exerc Med 1:022 Received: July 28, 2015: Accepted: October 05, 2015: Published: October 08, 2015 Copyright: © 2015 Van Zant RS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Van Zant et al. Int J Sports Exerc Med 2015, 1:4
Brightness limitations of cold field emitters caused by Coulomb interactions

Emission theory predicts that high brightness cold field emitters can enhance imaging in the electron microscope. This (neglecting chromatic aberration) is because of the large (coherent) probe current available from a high brightness source and is based on theoretically determined values of reduced brightnesses up to 1014 A/(m2 sr V). However, in their analysis, the authors find that statistical Coulomb interactions limit the reduced brightness of even atomically sharp cold field emitters to 1011 A/(m2 sr V) and regular tungsten cold field emitters to around 2×108 A/(m2 sr V). The authors also find that for tip radii in the range from 5 nm to 1 μm, cold field emitters do not outperform larger Schottky (thermal field) emitters. Although this is applied to only one geometry, they expect that similar results will occur for most other cases due to a distinct difference in the behavior of different beam regimes.
Mid-infrared photonics devices in SOI

In this paper we present silicon photonics devices designed for the 3-4μm wavelength region including waveguides, MMIs, ring resonators and Mach-Zehnder interferometers. The devices are based on silicon on insulator (SOI) platform. We show that 400-500 nm high silicon waveguides can have propagation losses as low as ~ 4 dB/cm at 3. 8μm. We also demonstrate MMIs with insertion loss of 0.25 dB, high extinction ratio asymmetric Mach-Zehnder interferometers, and SOI ring resonators. This combined with our previous results reported at 3. 4μm confirm that SOI is a viable platform for the 3-4 μm region and that low loss mid-infrared passive devices can be realized on it.
Superimposed ice formation and surface energy fluxes on sea ice during the spring melt–freeze period in the Baltic Sea

Abstract The development of land-fast sea ice and overlying snow was monitored during a 4 week period, until the snow cover had completely disappeared, at a site in the Gulf of Bothnia, Baltic Sea (63.57ú N, 19.85° E). The meteorological and radiative boundary conditions were continuously recorded. During the observation period, a 15 cm thick snow layer on the ice was transformed into a 7 cm thick granular ice layer (superimposed ice) on the ice surface, contributing significantly (about 11%) to the total ice thickness. Approximately 1 cm w.e. of the snow was sublimated. Neither snow-ice formation nor basal ice growth was significant during the same period. The salinity and isotopic (δ18O) composition of the ice indicated that prior to the experiment a 7 cm layer of superimposed ice had already formed. Hence, superimposed ice layers contributed 22% of the total ice thickness by the time all snow had disappeared. The advancing spring, decrease in surface albedo, diurnal cycle in the incoming solar radiation, and synoptic-scale changes in the cloud cover and the air–ice turbulent heat fluxes caused variations in the heat budget of the snowpack. Superimposed ice formation due to refreezing of meltwater occurred during most nights of the study period, and the most important refreezing periods were under such synoptic conditions that the air and snow surface temperatures also remained below zero during daytime. In contrast to typical summer conditions in polar oceans, low snow surface temperatures acted as the primary heat sink for the refreezing of meltwater.
G 2385 R and I 2020 T Mutations Increase LRRK 2 GTPase Activity

1 InAm Neuroscience Research Center, Sanbon Medical Center, College of Medicine, Wonkwang University, Sanbondong, Gunposhi, Gyeonggido 15865, Republic of Korea 2Department of Molecular and Life Sciences, Hanyang University, Ansanshi, Gyeonggido 15588, Republic of Korea 3Department of Pharmacology, Ajou University School of Medicine, Suwonshi 16499, Republic of Korea 4Neuroscience Graduate Program, Ajou University School of Medicine, Suwonshi 16499, Republic of Korea 5Institute for Medical Sciences, Ajou University School of Medicine, Suwonshi 16499, Republic of Korea 6Department of Neurology, Sanbon Medical Center, College of Medicine, Wonkwang University, Sanbondong, Gunposhi, Gyeonggido 15865, Republic of Korea
Constant-energetics physical-space forcing methods for improved convergence to homogeneous-isotropic turbulence with application to particle-laden flows

This study investigates control-based forcing methods for incompressible homogeneous-isotropic turbulence forced linearly in physical space which result in constant turbulent kinetic energy, constant turbulent dissipation (also constant enstrophy), or a combination of the two based on a least-squares error minimization. The methods consist of proportional controllers embedded in the forcing coefficients. During the transient, the controllers adjust the forcing coefficients such that the controlled quantity achieves very early a minimal relative error with respect to its target stationary value. Comparisons of these forcing methods are made with the non-controlled approaches of Rosales and Meneveau [“Linear forcing in numerical simulations of isotropic turbulence: Physical space implementations and convergence properties,” Phys. Fluids 17, 095106 (2005)] and Carroll and Blanquart [“A proposed modification to Lundgren’s physical space velocity forcing method for isotropic turbulence,” Phys. Fluids 25, 105114 (2013)], using direct numerical simulations (DNS) and large-eddy simulations(LES). The results indicate that the proposed constant-energetics forcing methods shorten the transient period from a user-defined artificial flow field to Navier-Stokes turbulence while maintaining steadier statistics. Additionally, the proposed method of constant kinetic-energy forcing behaves more robustly in coarse LES when initial conditions are employed that favor the occurrence of subgrid-scale backscatter, whereas the other approaches fail to provide physical turbulent flow fields. For illustration, the proposed forcing methods are applied to dilute particle-laden homogeneous-isotropic turbulent flows; the results serve to highlight the influences of the forcing strategies on the disperse-phase statistics.
A Dynamical Systems Approach to Studying Mid-Latitude Weather Extremes

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. A Dynamical Systems Approach to Studying Mid-Latitude Weather Extremes Gabriele Messori, Rodrigo Caballero, Davide Faranda
Forest Sustainability in an Altered Landscape Requires Human Intervention

OF THESIS Forest Sustainability in an Altered Landscape Requires Human Intervention Recruitment success determines the abundance and composition of plant communities. Successful recruitment can be summarized as a simple dichotomy of establishment versus seed limitations. Establishment limitation occurs when plant populations are inhibited by habitat availability and quality, whereas seed limitation occurs when seeds fail to arrive in necessary densities. Recruitment failure undermines overstory sustainability if the existing trees cannot replace themselves. Preliminary analysis indicated tree recruitment failure at an urban nature preserve with too few tree seedlings to replace mature canopy trees. These data suggested that the urban forest was not sustainable. The overarching goal of the study was to test whether establishment or seed limitation explained the recruitment failure. Given that 90% of seeds are killed by unsuitable habitat conditions it was hypothesized that establishment limitation would best explain the limited recruitment. This hypothesis was tested using field experiments with introduced native tree seeds. However, environmental limitations are of little consequence if the seeds fail to arrive. This alternative hypothesis was tested using seed traps to capture dispersed seeds. Seedling recruitment varied by tree species, and it increased significantly with herbivore/granivore exclusion in experimental plots. Seed rain correlated significantly with immediately proximate parent plants, but seeds from species beyond 50 m of the experimental plots were not present in seed traps. These results suggested that habitat quality, particularly granivory and competition, limited recruitment at local scales in the urban forest whereas longdistance dispersal limited seed availability beyond local species.
Topic Detection using fuzzy c-means with nonnegative double singular value decomposition initialization

Topic Detection or topic modeling is a process of finding topics in a collection of textual data. Detecting topic for a very large document collection hardly done manually. Therefore, we need an automatic method, one of which is a clustering-based method such as fuzzy cmeans (FCM). The standard initialization method of FCM is a random initialization which usually produces different topics for each execution. In this paper, we examine a nonrandom initialization method called nonnegative double singular value decomposition (NNDSVD). Besides the advantage of non-randomness, our simulations show that the NNDSVD method gives better accuracies in term of topic recall than both random method and another existing singular value decomposition-based method for the problem of sensing trending topic on Twitter.
Success and failure of 50 innovation projects in Dutch companies

Continued innovation of products, services, technology and the organization itself, is one way to keep a business on its feet during these turbulent times. The importance of innovation – the process during which leap‐changes are effected – is generally recognized. However, in practice, the successful conclusion of a total innovation project is by no means matter‐of‐course. Many innovations end in failure. Research in the USA raises the questions of how successful Dutch companies and their managers are in terms of innovation. How many innovation projects succeed, how many fail? This study searches for an answer to this question. The logical next question then is, what are the differences between innovation projects that succeed and those that fail? In short, what are the factors that lead to success, and which factors lead to failure in the projects examined?
Modeling two‐dimensional detonations with detonation shock dynamics

One of the principal shortcomings of the computer models that are presently used for two‐dimensional explosive engineering design is their inadequate treatment of the explosive’s detonation reaction zone. Current methods lack the resolution to both calculate the broad gas expansion region and model the thin reaction zone with reasonable detail. Recently an alternative method for modeling the reaction zone has been developed. This method applies when the radius of curvature of the shock is large compared to the reaction‐zone length. In this limit, the dynamics of the interaction between the chemical heat release and the two‐dimensional flow in the reaction zone is quasisteady. It is summarized by a relation Dn(κ), between the local normal shock velocity Dn and shock curvature κ. When this relation is combined with the kinematic surface condition (an equation that describes how disturbances move along the shock), the two‐dimensional reaction‐zone calculation is reduced to a one‐dimensional calculation.
Sub-kilohertz excitation lasers for quantum information processing with Rydberg atoms

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Core-collapse supernova simulations in one and two dimensions: comparison of codes and approximations

We present spherically symmetric (1D) and axisymmetric (2D) supernova simulations for a convection-dominated 9 Msun and a 20 Msun progenitor that develops violent activity by the standing-accretion-shock instability (SASI). We compare in detail the Aenus-Alcar code, which uses fully multidimensional two-moment neutrino transport with an M1 closure, with a ray-by-ray-plus (RbR+) version of this code and with the Prometheus-Vertex code that employs RbR+ two-moment transport with a Boltzmann closure. Besides testing consequences of ignored non-radial neutrino-flux components in the RbR+ approximation, we also discuss the influence of various transport ingredients applied or not applied in recent literature, namely simplified neutrino-pair processes, neutrino-electron scattering, velocity-dependent and gravitational-redshift terms, and strangeness and many-body corrections for neutrino-nucleon scattering. Alcar and Vertex show excellent agreement in 1D and 2D despite a slightly but systematically smaller radius (~1km) and stronger convection of the proto-neutron star with Alcar. As found previously, the RbR+ approximation is conducive to explosions, but much less severely in the convection-dominated 9 Msun case than in the marginally exploding 20 Msun model, where the onset time of explosion also exhibits big stochastic variations, and the RbR+ approximation has no distinctly stronger supportive effect than simplified pair processes or strangeness and many-body corrections. Neglecting neutrino-electron scattering has clearly unfavorable effects for explosions, while ignoring velocity and gravitational-redshift effects can both promote or delay the explosion. The ratio of advection timescale to neutrino-heating timescale in 1D simulations is a sensitive indicator of the influence of physics ingredients on explosions also in multidimensional simulations.
Nonlinear conductance in weakly disordered mesoscopic wires: Interaction and magnetic field asymmetry

We study the non-linear conductance $\mathcal{G}\sim\partial^2I/\partial V^2|_{V=0}$ in coherent quasi-1D weakly disordered metallic wires. The analysis is based on the calculation of two fundamental correlators (correlations of conductance's functional derivatives and correlations of injectivities), which are obtained explicitly by using diagrammatic techniques. In a coherent wire of length $L$, we obtain $\mathcal{G}\sim0.006\,E_\mathrm{Th}^{-1}$ (and $\langle\mathcal{G}\rangle=0$), where $E_\mathrm{Th}=D/L^2$ is the Thouless energy and $D$ the diffusion constant; the small dimensionless factor results from screening, i.e. cannot be obtained within a simple theory for non-interacting electrons. Electronic interactions are also responsible for an asymmetry under magnetic field reversal: the antisymmetric part of the non-linear conductance (at high magnetic field) being much smaller than the symmetric one, $\mathcal{G}_a\sim0.001\,(gE_\mathrm{Th})^{-1}$, where $g\gg1$ is the dimensionless (linear) conductance of the wire. Weakly coherent regimes are also studied: for $L_\varphi\ll L$, where $L_\varphi$ is the phase coherence length, we get $\mathcal{G}\sim(L_\varphi/L)^{7/2}E_\mathrm{Th}^{-1}$, and $\mathcal{G}_a\sim(L_\varphi/L)^{11/2}(gE_\mathrm{Th})^{-1}\ll\mathcal{G}$ (at high magnetic field). When thermal fluctuations are important, $L_T\ll L_\varphi\ll L$ where $L_T=\sqrt{D/T}$, we obtain $\mathcal{G}\sim(L_T/L)(L_\varphi/L)^{7/2}E_\mathrm{Th}^{-1}$ (the result is dominated by the effect of screening) and $\mathcal{G}_a\sim(L_T/L)^2(L_\varphi/L)^{7/2}(gE_\mathrm{Th})^{-1}$. All the precise dimensionless prefactors are obtained. Crossovers towards the zero magnetic field regime are also analysed.
Supporting Locational Decision Making: regionalization of Service Delivery systems

In this paper we describe a case study of our attempt to provide decision support to a public agency, the Greek Ministry of Education, that is currently reorganizing the geo¬graphical configuration of its system. We treat the problem of determining the optimal number of catch¬ment areas, the school locations and the allocations of school children, as an interactive location-allocation problem. In our approach and during the problem-solving procedure, we deal with a set of predefined future scenarios, emphasizing on the uncertainty principles emerging from the notion of a popula¬tion being subject to elements of change. The scenarios are generated from an initial dataset, through the implementation of certain demographic assumptions, concerning fertility, mortality and migration rates. By linking demographic and locational models, and using the graphic capabilities of mapping software, we provide the basis for an integrated locational planning support system and thus a more pragmatic planning process. Furthermore, we assist the decision making process through the utilization of two solution - perform¬ance criteria. Namely, the expected loss and the minimax loss criterion of the optimal solution of each future scenario configur¬ation which is gener¬ated during the problem solving procedure.
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships

Understanding how a fictional relationship between two characters changes over time (e.g., from best friends to sworn enemies) is a key challenge in digital humanities scholarship. We present a novel unsupervised neural network for this task that incorporates dictionary learning to generate interpretable, accurate relationship trajectories. While previous work on characterizing literary relationships relies on plot summaries annotated with predefined labels, our model jointly learns a set of global relationship descriptors as well as a trajectory over these descriptors for each relationship in a dataset of raw text from novels. We find that our model learns descriptors of events (e.g., marriage or murder) as well as interpersonal states (love, sadness). Our model outperforms topic model baselines on two crowdsourced tasks, and we also find interesting correlations to annotations in an existing dataset.
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package

A large body of research has focused on theory and computation for variable selection techniques for high dimensional data. There has been substantially less work in the big tall data paradigm, where the number of variables may be large, but the number of observations is much larger. The orthogonalizing expectation maximization (OEM) algorithm is one approach for computation of penalized models which excels in the big tall data regime. The oem package is an efficient implementation of the OEM algorithm which provides a multitude of computation routines with a focus on big tall data, such as a function for out-of-memory computation, for large-scale parallel computation of penalized regression models. Furthermore, in this paper we propose a specialized implementation of the OEM algorithm for cross validation, dramatically reducing the computing time for cross validation over a naive implementation.
Electromagnetic analysis of beam-scanning antenna at millimeter-wave band based on photoconductivity using Fresnel-zone-plate technique

The proposed antenna is a Fresnel-zone-plate antenna (FZPA) in the Ka band that scans the beam of millimeter wave source. The antenna includes a semiconductor wafer (silicon, gallium arsenide) in which a spatially varying density of charge carriers is selectively established through selective optical illumination using a pulse laser. It is shown that the beam of the antenna can be scanned through the space by reconfiguring the masking of the wafer. The beam scanning is done in the transmission mode. The analysis of the far-zone radiation characteristics is presented using physical optics. Results for the antenna gain, the efficiency, and the co- and cross-polar patterns are given.
Anatomically and dielectrically realistic microwave head phantom with circulation and reconfigurable lesions

The research leading to these results has received funding from the European Research Council under the European Union’s Horizon 2020 Programme/ ERC Grant Agreement BioElecPro n.637780, Science Foundation Ireland (SFI) Grant #15/ERCS/3276, and the The research leading to these results has received funding from the European Research Council under the European Union’s Horizon 2020 Programme/ ERC Grant Agreement BioElecPro n.637780, Science Foundation Ireland (SFI) Grant #15/ERCS/3276, and the Hardiman Research Scholarship, NUIG.