Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning temporal matchings for time series discrimination

In real applications it is not rare for time series of the same class to exhibit dis- similarities in their overall behaviors, or that time series from different classes have slightly similar shapes. To discriminate between such challenging time se- ries, we present a new approach for training discriminative matching that con- nects time series with respect to the commonly shared features within classes, and the greatest differential across classes. For this, we rely on a variance/covariance criterion to strengthen or weaken matched observations according to the induced variability within and between classes. In this paper, learned discriminative matching is used to define a locally weighted time series metric, which restricts time series comparison to discriminative features. The relevance of the proposed approach is studied through a nearest neighbor time series classification on real datasets. The experiments performed demonstrate the ability of learned match- ing to capture fine-grained distinctions between time series, and outperform the standard approaches, all the more so that time series behaviors within the same class are complex.
Dynamic In-game Advertising in 3D Digital Games

Abstract Lately, digital games have developed concerning their use as a marketing medium. The present article is part of a study aimed at building a theoretical model for measuring and analyzing dynamic in-game advertising in 3D digital games. The study is explorative in nature, because it intends to build a new model of a real phenomenon based on one or more existing theories. Dynamic in-game advertising can be implemented in a 3D digital game without harming the gameplay experience, while still being effective from the marketer’s point of view. An optimized dynamic in-game advertisement is realistically and repeatedly, but subtly placed and interactive advertisement of a low-involvement product.
Charge Variant Assessment of Nanobodies at the Intact Level by CESI-MS Sensitive workﬂ ow for the detection of charge variants of nanobodies from small sample volumes

Sensitive workfl ow for the detection of charge variants of nanobodies from small sample volumes Stephen Lock,1 Rob Haselberg,2 Raimond Heukers,3 Martine J. Smit,3 Govert W. Somsen, and Elena Domínguez-Vega2,4 1 SCIEX, Warrington, United Kingdom 2 Division of BioAnalytical Chemistry, Vrije Universiteit, Amsterdam, The Netherlands 3 Division of Medicinal Chemistry, Vrije Universiteit Amsterdam, The Netherlands 4 Leiden University Medical Center, Leiden, The Netherlands
HIGH PERFORMANCE TECHNIQUES FOR REDUCING CACHE POWER

Minimizing power consumption continues to grow as a critica l design issue for many platforms, from embedded systems to chip multiprocessors ( CMP) to ultra scale parallel systems. Embedded systems, like their desktop counterpart s, h ve migrated to a multicore architecture. Power is a first-order design component i n the embedded domain, and advances in process technology have led to a cascading ef fect. Chiefly, decreasing feature sizes have led to lower voltage thresholds (to re tain performance), thereby resulting in exponential increases in leakage. Leakage has now become a fundamental design concern with respect to total power budget. This issu e has been postponed by using different SRAM cell designs on current process technol ogies. Two approaches have been proposed to reduce the power requir ements of cache memories: voltage scaling (or “drowsiness”) and partition ng. Voltage scaling targets leakage current by reducing the voltage to cache lines unlik ely to be referenced soon. Partitioning targets dynamic switching power by splitting the cache into smaller structures, either banks or regions. We combine the best of these t wo approaches by developing a new region cache organization. We add a new voltag e scaling design that enables finer control of cache lines than previous voltage sc aling policies. We evaluation this new organization on embedded and high performance rchitectures, finding it provides similar high performance and much lower power cons umption than previously published low-power cache designs.
Forward-angle K + photoproduction in a Regge-plus-resonance approach

We present an effective-Lagrangian description for forward-angle K+ photoproduction from the proton, valid for photon lab energies from threshold up to 16 GeV. The high-energy part of the amplitude is modeled in terms of t-channel Regge-trajectory exchange. The sensitivity of the calculated observables to the Regge-trajectory phase is investigated in detail. The model is extended toward the resonance region by adding a number of s-channel resonances to the t-channel background. The proposed hybrid “Regge-plus-resonance” (RPR) approach allows one to exploit the p(γ,K+) data in their entirety, resulting in stronger constraints on both the background and resonance couplings. The high-energy data can be used to fix the background contributions, leaving the resonance couplings as the sole free parameters in the resonance region. We compare various implementations of the RPR model and explore to what extent the description of the data can be improved by introducing the “new” resonances D13(1900) and P11(1900). Despite its limited number of free parameters, the proposed RPR approach provides an efficient description of the p(γ,K+) dynamics in and beyond the resonance region.
The Role of Clouds in Modulating Global Aerosol Direct Radiative Effects in Spaceborne Active Observations and the Community Earth System Model

AbstractObservational benchmarks of global and regional aerosol direct radiative effects, over all surfaces and all sky conditions, are generated using CloudSat’s new multisensor radiative fluxes and heating rates product. Improving upon previous techniques, the approach leverages the capability of CloudSat and CALIPSO to retrieve vertically resolved estimates of cloud and aerosol properties required for complete and accurate assessment of aerosol direct effects under all conditions. The global annually averaged aerosol direct radiative effect is estimated to be −1.9 W m−2 with an uncertainty range of ±0.6 W m−2, which is in better agreement with previously published estimates from global models than previous satellite-based estimates. Detailed comparisons against a fully coupled simulation of the Community Earth System Model, however, reveal that this agreement on the global annual mean masks large regional discrepancies between modeled and observed estimates of aerosol direct effects. A series of region.
COLOR CORRECTION AND IMAGE BLENDING FOR PANORAMA STITCHING VIA EXTREME POINT MATCHING OF LUMINANCE HISTOGRAM

In this paper, we propose a novel image blending method for pa norama stitching from multiple images based on the extreme point matching of the luminance histogram. To reduce the brightne ss differences between images, an automatic adjustment of con trast is firstly applied on individual images based on their own col or histograms. Both the Probability Density Function (PDF) an d the Cumulative Distribution Function (CDF) with respect to lum inance histograms are secondly utilized to obtain extreme points o f the luminance histograms that are capable of best illustrating statistical characteristics of the image, which are robustly matched ac cording to two predefined rules to construct the relationship betwee n two involved images. Thirdly a pixel-wise color correction is e mployed in the whole image and a simple alpha transition correction s trategy is used to ensure color continuity in the overlap regions bet we n images. Finally a multi-band blending with optimal seamlin es is adopted to create a seamless panorama. Experimental result s show that our method is capable of blending street view panorama w ith high quality and faultless color continuity, which obvious ly outperforms the open-source software Enblend and the popularly used commercial softwarePTGui.
Facies Changes Between Kolosh and Sinjar Formations Along Zagros Fold–Thrust Belt in Iraqi Kurdistan Region

The present study is concerned with lateral and vertical facies changes between Kolosh (Paleocene) and Sinjar (or Khurmala) (Paleocene-Early Eocene) Formations in Sulaimani and Duhok area, Kurdistan Region, NE-Iraq. The latter and former formations are belonging to basinal clastic (turbidite) and reefal carbonate facies respectively. The facies changes are documented in six sections by field studies and evaluation of previous ideas and data which are critically discussed and compared to the result of the present study. The special attention is directed towards the contact between the two Formations in relation to conformity. All the studies achieved before 2002 showed conformable contact between the two formations while the most recent study found large a gap (erosional unconformity) between the two formations which persisted for 5million years. According to latter study, the sea level fall associated with this unconformity assigned to be type one and type two sequence boundaries in the east of Darbandikhan, north of Koya towns and the Bekhme gorge.Conversely, the present study has not recorded gaps in the sedimentation in the studied sections either in Sulaimani or Dohuk area. The contact can be regarded as transgressive system tract which represented by green marl or sandstone, which changes to limestone of Sinjar or Khurmala Formation (HST). The conglomerate beds that are recorded in the previous studies at the contact of the two formations are not proved in the present study. The previously recorded conglomerate is located inside the upper part of the Kolosh Formation not in the contact and it represents submarine fan feeder channel. In contrast to previous studies, neither incised valleys nor erosional unconformity are found at the contact between the two formations in the studied area. The one meter intraformational conglomerate that are found (in some previous studies) in the Bekhme gore is not found in the present study. It is observed that the Kolosh Formation, at Bekhme Gore consists of green marl and sandstone with one bed of Khurmala Formation. The green marl is changes totally to dolomitic limestone of the latter Formation toward northwest at the north of Saru Kani village near Bujeel town. This proves that both formations are deposited in one basin and Khurmala formation has the age of Lower Paleocene to Lower Eocene.
Exact solution of a nonlinear heat conduction problem in a doubly periodic 2D composite material

An analytic solution of a stationary heat conduction problem in an unbounded doubly periodic 2D composite whose matrix and inclusions consist of isotropic temperature-dependent materials is given. Each unit cell of the composite contains a finite number of circular non-overlapping inclusions. The corresponding nonlinear boundary value problem is reduced to a Laplace equation with nonlinear interface conditions. In the case when the conductive properties of the inclusions are proportional to that of the matrix, the problem is transformed into a fully linear boundary value problem for doubly periodic analytic functions. This allows one to solve the original nonlinear problem and reconstruct temperature and heat flux throughout the entire plane. The solution makes it possible to calculate the average properties over the unit cell and discuss the effective conductivity of the composite. We compare the outcomes of the present paper with a few results from literature and present numerical examples to indicate some peculiarities of the solution.
Title Multidimensional Scaling Using Majorization : SMACOF in R Permalink

In this paper we present the methodology of multidimensional scaling problems (MDS) solved by means of the majorization algorithm. The objective function to be minimized is known as stress and functions which majorize stress are elaborated. This strategy to solve MDS problems is called SMACOF and it is implemented in an R package of the same name which is presented in this article. We extend the basic SMACOF theory in terms of configuration constraints, three-way data, unfolding models, and projection of the resulting configurations onto spheres and other quadratic surfaces. Various examples are presented to show the possibilities of the SMACOF approach offered by the corresponding package.
The Nonlinear Value Relevance of Advertising Expenditure in Listed Korean Stock Markets

This paper investigates the nonlinear value relevance of advertising expenses in firms listed on Korean stock markets from 2003 to 2011. This study also categorizes the sampled data into several groups to examine the value relevance function of advertising expenses. The empirical findings of this paper show that advertising expenses has an inverted U-shaped relationship with enterprise value in various subgroups belonging to KOSPI markets, big firms, small and medium firms, and low technology firms classified by Himmelberg and Petersen (1994). The empirical results also provide the evidence that advertising expenses is nonlinearly associated with enterprise value with a U-shaped function in total sample firms, KOSDAQ firms, high technology firms classified by Himmelberg and Petersen (1994), and the high and low technology firm groups divided by R&D intensity.These results support the hypothesis of this study (H: Advertising expenses has nonlinear value relevance in Korean stock markets). The empirical findings of this study reveals that the value relevance shape of advertising expenses differ in accordance with the characteristics of individual firms.
Sexual dimorphism in head shape and diet in the cottonmouth snake (Agkistrodon piscivorus)

Sexual dimorphism is a common phenomenon among animals. The usual cause cited for sexual dimorphism in animals is sexual selection acting through female choice or male–male combat. Natural selection acting to reduce resource competition between the sexes, however, is an important alternative evolutionary scenario, but this possibility has received little empirical study. Here this issue is addressed by examining the relationships among body size, head shape and the functional aspects of diet in the adult male and female cottonmouth snake Agkistrodon piscivorus. In this species, males are larger in overall body and head size. Whereas an analysis of gross head measurements (simple linear head dimensions) shows little dimorphism in head shape, a more detailed analysis of head shape (using digital images of the snakes’ heads) revealed some subtle, yet functionally significant, differences in head shape between adult male and female cottonmouths. Specifically, male cottonmouths have longer quadrate bones, and have greater lateral surface areas than females. Male cottonmouths also consumed relatively taller prey (prey size relative to snake body size) than conspecific females, and the sexes consumed significantly different proportions of prey. Because the size of the quadrate bone is a strong determinant of maximum gape in snakes, we suggest that the observed shape differences may reflect functional differences in maximum gape between similarly sized male and female cottonmouths. In turn, such differences in maximum gape width may explain why males consume taller prey than similarly sized females.
The Concept of Happiness as Conveyed in Visual Representations: Analysis of the Work of Early Childhood Educators.

This research was designed to examine how early-childhood educators pursuing their graduate degrees perceive the concept of happiness, as conveyed in visual representations. The research methodology combines qualitative and quantitative paradigms using the metaphoric collage, a tool used to analyze visual and verbal aspects. The research population included 32 students from various locations in Israel. The findings revealed that the concept of happiness is perceived as love, spirituality and emotions. In their collages, approximately half of the participants represent happiness as a list of separate and fragmented components such as children, health etc., while others attempted to find connections and relations in order to achieve a more profound view of happiness. Although the majority of the participants experience happiness as something intangible, they did not perceive academic studies and learning processes as a component of happiness.
The effect of tyre and rider properties on the stability of a bicycle

To work towards an advanced model of the bicycle-rider-environment system, an open-loop bicycle-rider model was developed in the commercial multibody dynamics software ADAMS. The main contribution of this article to bicycle dynamics is the analysis of tyre and rider properties that influence bicycle stability. A system identification method is used to extract linear stability properties from time domain analysis. The weave and capsize eigenmodes of the bicycle-rider system are analysed. The effect of tyre properties is studied using the tyre’s forces and torques that have been measured in several operating conditions. The main result is that extending simplified models with a realistic tyre model leads to a notable decrease in the weave stability and a stabilization of the capsize mode. This effect is mainly caused by the twisting torque. Different tyres and tyre inflation pressures have little effect on the bicycle’s stability, in the case of riding straight at a constant forward speed. On the other hand, the tyre load does have a large effect on bicycle stability. The sensitivity study of rider properties shows that body stiffness and damping have a small effect on the weave and capsize mode, whereas arm stiffness destabilizes the capsize mode and arm damping destabilizes the weave mode.
Psoriasis: Epidemiology, Clinical and Histological Features, Triggering Factors, Assessment of Severity and Psychosocial Aspects

Susana Coimbra1,2, Hugo Oliveira3, Americo Figueiredo3, Petronila Rocha-Pereira1,4 and Alice Santos-Silva1,5 1Instituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, Porto 2Centro de Investigacao das Tecnologias da Saude (CITS) – Instituto Politecnico da Saude Norte, CESPU, Gandra-Paredes, 3Servico de Dermatologia, Hospitais da Universidade de Coimbra, Coimbra 4Centro de Investigacao em Ciencias da Saude (CICS), Universidade da Beira Interior, Covilha 5Departamento de Ciencias Biologicas, Laboratorio de Bioquimica, Faculdade de Farmacia, Universidade do Porto, Porto Portugal
Effect of the Revisit Interval on the Accuracy of Remote Sensing-based Estimates of Evapotranspiration at Field Scales

The manuscript addresses a key challenge in the estimation of evapotranspiration from satellite data, during the interval of satellite overpasses, i.e., the temporal interpolation question. This is an important topic and has many practical implication, including water management. The main shortcoming of this paper it limits the analysis to the statistical approach only without clear discussion of the physical interpretation of (climate and surface) processes involved. E.g., how will ET varies between two satellite overpasses, and why? Such discussions may allow for more physically based upscaling methods than statistical. E.g., it is well possible to compute daily ET0 using climate data measured at ground stations, which then can be used to upscale ETa (actual) evapotranspiration derived from satellite data, e.g., see Allen et al. (2001), Mohamed
2 3 O ct 2 01 8 Quasi-incompressible Multi-species Ionic Fluid Models

In traditional hydrodynamic theories for ionic fluids, conservation of the mass and linear momentum is not properly taken care of. In this paper, we develop hydrodynamic theories for a viscous, ionic fluid of N ionic species enforcing mass and momentum conservation as well as considering the size effect of the ionic particles. The theories developed are quasi-incompressible in that the mass-average velocity is no longer divergence-free whenever there exists variability in densities of the fluid components, and the models are dissipative. We present several ways to derive the transport equations for the ions, which lead to different rates of energy dissipation. The theories can be formulated in either number densities, volume fractions or mass densities of the ionic fluid components. We show that the theory with the Cahn-Hilliard transport equation for ionic species reduces to the classical Poisson-Nernst-Planck (PNP) model with the size effect for ionic fluids when the densities of the fluid components are equal and the entropy of the solvent is neglected. It further reduces to the PNP model when the size effect is neglected. A linear stability analysis of the model together with two of its limits, which is the extended PNP model (EPNP defined in the text) and the classical PNP model (CPNP) with the finite size effect, on a constant state and a comparison among the three models in 1D space are presented to highlight the similarity and the departure of this model from the EPNP and the CPNP model.
Revisiting liquid lubrication methods by means of a fully coupled approach combining plastic deformation and liquid lubrication

This paper presents a new approach based on a fully coupled procedure in which the lubricant flow and the plastic deformation of the metallic material in metal forming are solved simultaneously. The proposed method is an alternative to conventional modelling techniques which allow studying the effect of a broad range of parameters directly on the friction conditions. The approach is applied to strip reduction of a sheet with mesoscopic surface pockets in order to investigate the escape of lubricant from the pocket by means of Micro Plasto HydroDynamic Lubrication and Micro Plasto HydroStatic Lubrication. For the investigation on Micro Plasto HydroStatic Lubrication, the friction along the tool–workpiece contact interface and the back tension are taken as parameters, and the backward escape Micro Plasto HydroDynamic Lubrication is investigated by variations in lubricant viscosity by means of a combined numerical and analytical model, and by variations in drawing speed. Good agreement is found with the experimental observations.
Topological Visualisation Techniques for Volume Multifield Data

This survey paper provides an overview of topological visualisation techniques for scalar data sets. Topological algorithms are used to reduce scalar fields to a skeleton by mapping critical changes in the topology to the vertices of graph structures. These can be visualised using graph drawing techniques or used as a method of seeding meshes of distinct objects existing in the data. Many techniques are discussed in detail, beginning with a review of algorithms working on scalar fields defined with a single variable, and then generalised to multivariate and temporal data. The survey is completed with a discussion of methods of presenting data in higher dimensions.
The dynamics of multiple motivations

Regulatee motivations are central to rule compliance. Extant regulation theories acknowledge that regulatees harbour multiple motivations, but lack explanations how these different motivations relate to one another and how they frame decision-making. This study empirically explored what contribution Lindenberg’s Goal Framing Theory (GFT; e.g. 2000) may make to solving this puzzle. GFT distinguished three master motivations (hedonic, gain and normative) and proposed that the strongest motivation present framed the way regulatees make decisions, while other motivations, in the background, (de)stabilized the dominant motivation. It also proposed explanations for the impact of contextual influences – regulator, professional and personal networks - on different motivational constellations. Using a qualitative case study design, a saturation sample of Dutch food entrepreneurs was interviewed to reconstruct their motivational constellations and the impact of contextual influences on their constellations over time. Our findings showed that Lindenberg’s typology applied to regulatory situations and that GFT helped to explain the observed dynamics of motivations and their constellations. It also helped to explain the impact of contextual influences. We suggest an agenda for further research.