Miracle-dz/UniFAR-FTUs huggingface dataset:
A Hybrid Recommendation Algorithm with LDA and SVD++ Considering the News Timeliness

Collaborative filtering-based recommender systems, which had been applied successfully in E-commerce domain, could filter various types of information and recommend information beyond people’s ever interest. However, recommender systems have a common drawback is low accuracy. In order to further improve the accuracy of the recommendation algorithm, and verify practicability of the model. We proposed a new hybrid recommendation algorithm. Study of the Latent Dirichlet Allocation (LDA) and Singular Value Decomposition algorithm (SVD), and then researching the parameters of news' implicit feature, time, and recommendation accuracy. We obtained data through crawl. First, we used LDA to classify the news text and used SVD++ algorithm to fuse implicit feedback in SVD model. To incorporate the importance of news timeless, we studied recommendation strength by constantly adjusting the time window of what was affected by news implicit features. Next, we processed the news recommendation sequences of SVD++ with the method of weighting similarity. In the process, we found that although the performance is not good when we only use LDA algorithm, when we combined LDA and SVD++, our model shows a better consequence. In the end, the recommendation accuracy has been improved.
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Testing gravity with redshift-space distortions using the power spectrum multipoles

We analyse the anisotropic clustering of the Baryon Oscillation Spectroscopic Survey (BOSS) CMASS Data Release 11 (DR11) sample, which consists of 690 827 galaxies in the redshift range 0.43 < z < 0.7 and has a sky coverage of 8498 deg^2. We perform our analysis in Fourier space using a power spectrum estimator suggested by Yamamoto et al. We measure the multipole power spectra in a self-consistent manner for the first time in the sense that we provide a proper way to treat the survey window function and the integral constraint, without the commonly used assumption of an isotropic power spectrum and without the need to split the survey into subregions. The main cosmological signals exploited in our analysis are the baryon acoustic oscillations and the signal of redshift space distortions, both of which are distorted by the Alcock–Paczynski effect. Together, these signals allow us to constrain the distance ratio D_V(z_eff)/r_s(z_d) = 13.89 ± 0.18, the Alcock–Paczynski parameter F_AP(z_eff) = 0.679 ± 0.031 and the growth rate of structure f (z_eff)σ_8(z_eff) = 0.419 ± 0.044 at the effective redshift z_eff = 0.57. We emphasize that our constraints are robust against possible systematic uncertainties. In order to ensure this, we perform a detailed systematics study against CMASS mock galaxy catalogues and N-body simulations. We find that such systematics will lead to 3.1 per cent uncertainty for fσ_8 if we limit our fitting range to k = 0.01–0.20 h Mpc^−1, where the statistical uncertainty is expected to be three times larger. We did not find significant systematic uncertainties for D_V/r_s or F_AP. Combining our data set with Planck to test General Relativity (GR) through the simple γ-parametrization, where the growth rate is given by $f(z) = \Omega ^{\gamma }_{\rm m}(z)$, reveals a ∼2σ tension between the data and the prediction by GR. The tension between our result and GR can be traced back to a tension in the clustering amplitude σ_8 between CMASS and Planck.
Does Risk Aversion Affect Transmission and Generation Planning? A Western North America Case Study

We investigate the effects of risk aversion on optimal transmission and generation expansion planning in a competitive and complete market. To do so, we formulate a stochastic model that minimizes a weighted average of expected transmission and generation costs and their conditional value at risk (CVaR). We show that the solution of this optimization problem is equivalent to the solution of a perfectly competitive risk-averse Stackelberg equilibrium, in which a risk-averse transmission planner maximizes welfare after which risk-averse generators maximize profits. This model is then applied to a 240-bus representation of the Western Electricity Coordinating Council, in which we examine the impact of risk aversion on levels and spatial patterns of generation and transmission investment. Although the impact of risk aversion remains small at an aggregate level, state-level impacts on generation and transmission investment can be significant, which emphasizes the importance of explicit consideration of risk aversion in planning models.
Study On Optimal Operating Rule CurvesIncluding Hydropower Purpose InParallel Multireservoir Systems

For multireservoir systems for hydropower purpose, the best strategy of joint operation is to release water firstly from the reservoir with the higher hydropower efficiency for achieving the highest benefits of the whole system. Considering scarcity of water resources, however, the operation practice is to follow a proper set of rule curves so as not only to reduce the water shortage amount and duration for downstream demand but also to enhance the hydropower efficiency. Therefore, an operation model coupling with simulation and genetic algorithms is presented in this paper to overcome such difficulty with nonlinear and multiple parameters. In the paper, joint operation of Shihmen and Festui Reservoirs in the northern Taiwan was chosen for case study. The study results indicate that the optimal operating rule curves of the parallel multireservoir system can achieve the highest hydropower benefit and meet the designed firm yield for water supply simultaneously.
Effect of Humidity on Constant Output and Breath Enhanced Nebulizer Designs When Tested in the EN 13544-1 EC Standard

Aqueous aerosols produced by nebulizers used in clinical situations can rapidly change size as the patient inhales. This is caused by air with a relative humidity (RH) lower than inside the nebulizer being entrained and mixed with nebulized aerosol during the inhalation maneuver. A way to assess the change in size is to measure the aerosol in a test method that reflects the clinical situation. The EC standard, EN 13544-1, offers a first step towards this assessment. In this paper we have tested two nebulizer designs, one conventional constant output nebulizer and one breath-enhanced nebulizer, using the proposed standard in order to assess the effect of the relative humidity of entrained ambient air on nebulized aerosol size properties. The results indicate that aerosol size from the conventional nebulizer is greatly affected by the RH of the entrained air, while the breath-enhanced nebulizer is not affected. The results agree with theoretical expectations of how the entrained air interacts with nebulized aerosol. In the breath-enhanced nebulizer, the air is passed through the nebulizer interior and becomes saturated with moisture drawn from the relatively large nebulizer reservoir solution. With the conventional constant output nebulizer, ambient air is drawn over the nebulizer and draws its moisture from the relatively small volume of nebulized aerosol released from the nebulizer. For the conventional nebulizer design, we found a large decrease in measured nebulized aerosol size with decreasing relative humidity--3.1 w m MMAD at 75% RH fell to 1.9 w m MMAD at 20% RH. For the breath-enhanced nebulizer design, the MMAD was stable between a similar humidity range. The results indicate that aerosol size is dependent on relative humidity of the entrained air for the constant output jet nebulizer design that has no air entrainment through the nebulizer. We found no significant effect of ambient humidity of entrained air on nebulized aerosol size from the breath-enhanced nebulizer design.
mPGES-1: a key regulator of fever and neonatal respiratory depression

Prostaglandins are potent lipid mediators, synthesized de novo from arachidonic acid (AA) upon cell activation. AA is oxidized by the cyclooxygenase isoenzymes (COX-1 and COX-2) to form PGH2, the common substrate for downstream enzymes involved in prostaglandin biosynthesis. COX-1 is constitutively expressed in most cells and regarded as housekeeping protein. In contrast, expression of COX-2 is markedly increased by pro-inflammatory cytokines at sites of inflammation. PGH2 is converted into biologically active prostanoids like PGD2, PGE2, PGF2α, TXA2 and PGI2 by specific enzymes in a cell-specific manner. The isomerization of PGH2 to PGE2, a potent mediator of pain and inflammation, is specifically catalyzed by human microsomal prostaglandin E synthase-1 (mPGES-1), a member of the MAPEG (membrane associated proteins in eicosanoid and glutathione metabolism) superfamily. High levels of PGE2 have been found in numerous disease
Retrieving the meaning of words from noun and verb grammatical contexts: Interindividual variation in a comprehension study of 2- to 4-year- old French-acquiring children

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. Retrieving the meaning of words from noun and verb grammatical contexts: Interindividual variation in a comprehension study of 2to 4-yearold French-acquiring children Edy Veneziano, Christophe Parisse
Calibration method for texel images created from fused flash lidar and digital camera images

Abstract. The fusion of imaging lidar information and digital imagery results in 2.5-dimensional surfaces covered with texture information, called texel images. These data sets, when taken from different viewpoints, can be combined to create three-dimensional (3-D) images of buildings, vehicles, or other objects. This paper presents a procedure for calibration, error correction, and fusing of flash lidar and digital camera information from a single sensor configuration to create accurate texel images. A brief description of a prototype sensor is given, along with a calibration technique used with the sensor, which is applicable to other flash lidar/digital image sensor systems. The method combines systematic error correction of the flash lidar data, correction for lens distortion of the digital camera and flash lidar images, and fusion of the lidar to the camera data in a single process. The result is a texel image acquired directly from the sensor. Examples of the resulting images, with improvements from the proposed algorithm, are presented. Results with the prototype sensor show very good match between 3-D points and the digital image (<2.8 image pixels), with a 3-D object measurement error of <0.5%, compared to a noncalibrated error of ∼3%.
Explanation of Factors Influencing Business Clustering in Iran

In developed and developing countries, business clusters are considered as a critical tool for economic development. Aiming to explain the business clusters in construction consulting companies in Mazandaran, Gilan and Golestan provinces, this study presents a model including four qualitative variables; innovation, interorganizational relationships, expert-orientation and participants. Data from 43 companies with more than 3 years of experience (113 questionnaires) were used for quantitative analysis. The whole model (SEM) is accepted, because RMSEA is 0.02 and GFI, NFI and AGFI are also more than %90. Also a binomial test confirmed the null hypothesis. In the end, it is concluded that the possibility of creating business clusters for construction consulting companies centererd in the City of Rasht is highly possible.
Validation of Spectroscopic Model for Fe Ions in Non-Equilibrium Ionization Plasma in LHD and Hinode

We measured extreme ultraviolet spectra of Fe ions for plasmas produced in the Large Helical Device (LHD) at the National Institute for Fusion Science (NIFS). Iron was injected into the plasmas by using a tracer– encapsulated pellet. By controlling the neutral beam injection pattern, we could produce plasma with a central electron temperature of approximately 500eV, which was suitable for producing Fe XVII ions. We measured seven Fe XVII lines. The intensity ratio for λ of 20.468 to 25.493nm was consistent with the theoretically calculated value of 1.1. This calculated value was determined purely from the branching ratio due to the common upper level of these transitions, although Warren et al. [Astrphys. J. 685, 1277 (2008)] reported a larger ratio of approxinately 2 from Hinode EIS measurements. The other five ratios for Fe XVII lines in our LHD measurements were also consistent with the theoretical ratios calculated with a collisional–radiative model. A preferred atomic dataset for Fe XVII is suggested to obtain better agreement between the measured and calculated ratios.
The Feasibility of Using Melanopsis Shells as Radiocarbon Chronometers, Lake Kinneret, Israel

We investigated the feasibility of using Melanopsis shells as radiocarbon chronometers of paleolakes and springs in the Jordan Valley, Israel. For this purpose, we analyzed the 14C content of aragonite of living Melanopsis shells from different freshwater bodies of the northern Jordan Valley and Lake Kinneret (Sea of Galilee) and compared them to the contemporaneous water values. The Melanopsis shells are in 14C equilibrium with their habitat waters, allowing to specify a particular reservoir age for various water types. We measured ∼750 yr for Lake Kinneret, ∼2300 yr for northern Jordan, ∼4600 yr for springs in the north Kinneret, and ∼7200 yr for streams flowing directly from carbonate aquifers. These results were tested and corroborated by analyzing fossil Melanopsis shells of known age, measured on contemporaneous organic matter. We conclude that Melanopsis shells are reliable 14C chronometers and have the potential to be used as paleohydrological tracers.
Investigations of boundary layer structure, cloud characteristics and vertical mixing of aerosols at Barbados with large eddy simulations

Abstract. Large eddy simulations (LESs) are performed for the area of the Caribbean island Barbados to investigate island effects on boundary layer modification, cloud generation and vertical mixing of aerosols. Due to the presence of a topographically structured island surface in the domain center, the model setup has to be designed with open lateral boundaries. In order to generate inflow turbulence consistent with the upstream marine boundary layer forcing, we use the cell perturbation method based on finite amplitude potential temperature perturbations. In this work, this method is for the first time tested and validated for moist boundary layer simulations with open lateral boundary conditions. Observational data obtained from the SALTRACE field campaign is used for both model initialization and a comparison with Doppler wind and Raman lidar data. Several numerical sensitivity tests are carried out to demonstrate the problems related to “gray zone modeling” when using coarser spatial grid spacings beyond the inertial subrange of three-dimensional turbulence or when the turbulent marine boundary layer flow is replaced by laminar winds. Especially cloud properties in the downwind area west of Barbados are markedly affected in these kinds of simulations. Results of an additional simulation with a strong trade-wind inversion reveal its effect on cloud layer depth and location. Saharan dust layers that reach Barbados via long-range transport over the North Atlantic are included as passive tracers in the model. Effects of layer thinning, subsidence and turbulent downward transport near the layer bottom at z ≈ 1800 m become apparent. The exact position of these layers and strength of downward mixing is found to be mainly controlled atmospheric stability (especially inversion strength) and wind shear. Comparisons of LES model output with wind lidar data show similarities in the downwind vertical wind structure. Additionally, the model results accurately reproduce the development of the daytime convective boundary layer measured by the Raman lidar.
A Neural Network Model of the Visual Short-Term Memory

In this paper a neural network model of Visual Short-Term Memory (VSTM) is presented. The model links closely with Bundesen’s (1990) well-established mathematical theory of visual attention. We evaluate the model’s ability to fit experimental data from a classical whole and partial report study. Previous statistic models have successfully assessed the spatial distribution of visual attention; our neural network meets this standard and offers a neural interpretation of how objects are consolidated in VSTM at the same time. We hope that in the future, the model will be able to fit temporally dependent phenomena like the attentional blink effect, lag-1 sparing, and attentional dwell-time.
Salesforce Incentive under A Three-layer Supply Chain with Two Dimensional Sales Effort

This paper studies salesforce compensation on a three-layer supply chain comprising a manufacture, a retailer and a salesperson. The salesperson‟s sales effort is divided into two kinds. The problem is solved using a two-stage game. In the first stage, the firm gives the compensation contract and the salesperson decides two kinds of effort. In the second stage, sales are realized and payments are made. From our analysis of the symmetric and asymmetric information cases, we find that in the symmetric information case, long term effort is more than short term effort; both incentive coefficient and salary paid to the salesperson decline as discount factor increases. For the asymmetric information case, the relationship of the two kinds of effort depends on risk averse and discount factor parameters; incentive coefficient and commission have opposite changing trend; salary decreases in discount factor but increases in risk averse parameter.
Inclination of Broad Line Region in Narrow Line and Broad Line Seyfert 1 Galaxies

The sizes of the Broad Line Region (BLR) of some Seyfert 1 galax- ies and nearby quasars can be determined by the reverberation mapping method. Combining with the observed FWHM of H emission line and assuming that the motion of BLR clouds is virialized, the black hole masses of these objects have been estimated. However, this method strongly depends on the poorly-understood geom- etry and inclination of the BLR. On the other hand, a tight correlation between the black hole mass and the bulge velocity dispersion was recently found for both active and nearby inactive galaxies. This may provide another method, independent of the BLR geometry, for estimating the black hole mass. Using this method for estimating the black hole mass and combining with the measured BLR size and FWHM of H emission line, we derived the BLR inclination angles for 20 Seyfert 1 galaxies under the assumption that the BLR is disk-like. The derived inclination angles agree well with those derived previously by fitting the UV continuum and H emission line profiles. Adopting a relation between the FWHMs of (Oiii) 5007 forbidden line and the stellar velocity dispersion, we also estimated the BLR inclinations for 50 nar- row line Seyfert 1 galaxies (NLS1s). We found that the inclinations of broad Line Seyfert 1 galaxies (BLS1s) are systematically greater than those of NLS1s, which seldom exceed 30 . This may be an important factor that leads to the dierences between NLS1s and BLS1s if the BLR of NLS1s is really disk-like.
Fuzzy covering problem based on the expert valuations

A new approach in the set covering problems is presented based on the expert knowledge presentations. An a priori uncertain information on the alternatives is given by some probability distribution and an a priori certain information on the knowledge competitions is given by some weights. A new criterion is introduced for a minimal fuzzy covering problem which is a minimal value of average misbelief in possible alternatives. A bicriterial problem is obtained using the new criterion and the criterion of covering average price minimization. The proposed approach is illustrated by an example.
A composite viscoelastic model for incorporating grain boundary sliding and transient diffusion creep; correlating creep and attenuation responses for materials with a fine grain size

A new viscoelastic creep function that incorporates both the effects of elastically-accommodated grain boundary sliding (GBS) and transient diffusion creep is proposed. It is demonstrated that this model can simultaneously describe both the transient microcreep curves and the shear attenuation/modulus dispersion in a fine-grained (d ∼ 5 µm) peridotite (olivine + 39 vol. % orthopyroxene) specimen. Low-frequency shear attenuation, , and modulus dispersion, G(ω), spectra were measured in a one-atmosphere reciprocating torsion apparatus at temperatures of 1200 ≤ T ≤ 1300°C and frequencies of 10−2.25 ≤ f ≤ 100 Hz. Reciprocating tests were complemented by a series of small stress (τ ∼ 90 kPa) microcreep experiments at the same temperatures. In contrast to previous models where the parameters of viscoelastic models are derived by fitting the Laplace transform of the creep function to measured attenuation spectra, the parameters are derived solely from the fit of the creep function to the experimental microcreep curves using different published expressions for the relaxation strength of elastically-accommodated GBS. This approach may allow future studies to better link the large dataset of steady-state creep response to the dynamic attenuation behavior.
FDI and Taxation

Despite the continuing political interest in the usefulness of tax competition and tax coordination as well as the wealth of theoretical analyses, it still remains open whether or when tax competition is harmful. Moreover, the influence of tax differentials on multinationals’ decisions is still insufficiently analyzed. Thus, economists have increasingly resorted to empirical analysis in order to gain insights on the elasticity of FDI with respect to company taxation. As a result, the empirical literature on taxation and international capital flows has grown to a similar abundance during the last 25 years as the respective theoretical literature. Its heterogeneity leads to a rising need for concise reviews on the existing empirical evidence. In this paper we extend former meta-analyses on FDI and taxation in three ways. First, we add the most recent publications unconsidered in meta-analyses up-to-date. Second, we apply a different methodology by using a broad set of meta-regression estimators and explicitly discuss which one is most suitable for application to our meta-data. Third, we address some important issues in research on FDI and taxation to the clarification of which meta-analysis can make valuable contributions. These issues are mainly: The influence of variables which might moderate effects of tax differentials (e.g. public spending), the implications of using aggregate FDI data as opposed to firm-level information on measured tax effects, the implications of bilateral effective tax rates, and the possible presence of publication bias in primary research. JEL-Classification: H25, H73, F23, F21.