Miracle-dz/UniFAR-FTUs huggingface dataset:
Reward Is Assessed in Three Dimensions That Correspond to the Semantic Differential

If choices are to be made between alternatives like should I go for a walk or grab a coffee, a ‘common currency’ is needed to compare them. This quantity, often known as reward in psychology and utility in economics, is usually conceptualised as a single dimension. Here we propose that to make a comparison between different options it is important to know not only the average reward, but also both the risk and level of certainty (or control) associated with an option. Almost all objects can be the subject of choice, so if these dimensions are required in order to make a decision, they should be part of the meaning of those objects. We propose that this ubiquity is unique, so if we take an average over many concepts and domains these three dimensions (reward, risk, and uncertainty) should emerge as the three most important dimensions in the “meaning” of objects. We investigated this possibility by relating the three dimensions of reward to an old, robust and extensively studied factor analytic instrument known as the semantic differential. Across a very wide range of situations, concepts and cultures, factor analysis shows that 50% of the variance in rating scales is accounted for by just three dimensions, with these dimensions being Evaluation, Potency, and Activity [1]. Using a statistical analysis of internet blog entries and a betting experiment, we show that these three factors of the semantic differential are strongly correlated with the reward history associated with a given concept: Evaluation measures relative reward; Potency measures absolute risk; and Activity measures the uncertainty or lack of control associated with a concept. We argue that the 50% of meaning captured by the semantic differential is simply a summary of the reward history that allows decisions to be made between widely different options.
Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability

In the Big Data era, the ever-increasing RDF data have reached a scale in billions of triples and brought obstacles and challenges to single-node RDF data stores. As a result, many distributed RDF stores have been emerging in the Semantic Web community recently. However, currently published ones are either not enough efficient on performance or failed to achieve flexible scalability. In this paper, we propose Rainbow, a scalable and efficient RDF triple store. The RDF data indexing scheme in Rainbow is a hybrid one which is designed based on the statistical analysis of user query space. Further, to better support the hybrid indexing scheme, Rainbow adopts a distributed and hierarchical storage architecture that uses HBase as the scalable persistent storage and combines a distributed memory storage to speedup query performance. The RDF data in memory storage is partitioned by the consistent hashing algorithm to achieve the dynamic scalability. Experiments show that Rainbow outperforms typical existing distributed RDF triple stores, with excellent scalability and fault tolerance.
Moving vortex matter with coexisting vortices and anti-vortices

Moving vortex matter, driven by transport currents independent of time, in which vortices and anti-vortices coexist is investigated theoretically in thin superconducting films with nanostructured defects. A simple London model is proposed for the vortex dynamics in films with periodic arrays of nanomagnets or cylindrical holes (antidots). Common to these films is that vortex anti-vortex pairs may be created in the vicinity of the defects by relatively small transport currents, because it adds to the current generated by the defects – the nanomagnets screening current, or the antidots backflow current – and may exceed locally the critical value for vortex anti-vortex pair creation. The model assumes that vortex matter dynamics is governed by Langevin equations, modified to account for creation and annihilation of vortex anti-vortex pairs. For pair creation, it is assumed that whenever the total current at some location exceeds a critical value, equal to that needed to separate a vortex from an anti-vortex by a vortex core diameter, a pair is created instantaneously around this location. Pair annihilation occurs by vortex anti-vortex collisions. The model is applied to films at zero external magnetic field and low temperatures. It is found that several moving vortex matter steady-states with equal numbers of vortices and anti-vortices are possible.
A computational model to textual extraction and construction of social and complex networks

This work aims presenting a computational modeling to extract specific data from textual repository, in order to build social and complex networks. These networks structures are implicit in texts. This paper presents the model process, which involves text mining by regular expressions, and the construction of networks. To validate the model, an experimental procedure was applied to build scientific collaboration networks in the context of post-graduation programs.
Understanding Neurotransmission and the Disease of Addiction 2 CE Hours

This workshop is designed to help you:  Assess neurotransmission in the context of drug use and research.  Describe the neurotransmitter – neurotransmission interaction.  Apply different research methodologies.  Analyze certain medication and behavioral management interventions.  Describe neurotransmitters and the drugs that affect them.  Apply changes to the Criteria for Substance Dependence and Abuse in the new DSM-5.  Assess the long term effects of drug use.
Fragments based tracking with adaptive cue integration q

1077-3142/$ see front matter 2012 Elsevier Inc. A http://dx.doi. org/10.1016/j.cviu. 2012.03. 005 q This paper has been recommended for acceptance ⇑ Corresponding author. E-mail addresses: erkut@cs.hacettepe. edu.tr (E. E lip6.fr (S. Dubuisson), isabelle.bloch@telecom-paristec 1 This study was completed when the author was Télécom ParisTech, CNRS LTCI, Paris, France. In this paper, we address the issue of part-based tracking by proposing a new fragments-based tracker. The proposed tracker enhances the recently suggested FragTrack algorithm to employ an adaptive cue integration scheme. This is done by embedding the original tracker into a particle filter framework, associating a reliability value to each fragment that describes a different part of the target object and dynamically adjusting these reliabilities at each frame with respect to the current context. Particularly, the vote of each fragment contributes to the joint tracking result according to its reliability, and this allows us to achieve a better accuracy in handling partial occlusions and pose changes while preserving and even improving the efficiency of the original tracker. In order to demonstrate the performance and the effectiveness of the proposed algorithm we present qualitative and quantitative results on a number of challenging video sequences. 2012 Elsevier Inc. All rights reserved.
Generalized Interacting Holographic Dark Energy Model

In this manuscript, we present a generalization of the interacting holographic dark energy model using two equations of states for the dark energy: the modified variable Chaplygin gas and the viscous generalized Chaplygin gas. The dynamics of the model are expressed by the use of scalar fields and the scalar potentials. PACS numbers: 98.80. Cq, 98.80. -k, 98.80. Jk ∗muneerrshd@yahoo.com
Application of Association Rule Mining Theory in Sina Weibo

A user profile contains information about a user. A substantial effort has been made so as to understand users’ behavior through analyzing their profile data. Online social networks provide an enormous amount of such information for researchers. Sina Weibo, a Twitter-like microblogging platform, has achieved a great success in China although studies on it are still in an initial state. This paper aims to explore the relationships among different profile attributes in Sina Weibo. We use the techniques of association rule mining to identify the dependency among the attributes and we found that if a user’s posts are welcomed, he or she is more likely to have a large number of followers. Our results demonstrate how the relationships among the profile attributes are affected by a user’s verified type. We also put some efforts on data transformation and analyze the influence of the statistical properties of the data distribution on data discretization.
Oscillating Friedman Cosmology

Abstract The non-singular, oscillating Friedman cosmology within the framework of General Relativity is considered. The general oscillatory solution is given and the conditions for its existence are discussed. It is shown that the wall-like-matter and the small, but negative cosmological constant are required for oscillations. The oscillations can, in principle, be deep enough to allow standard hot universe processes like recombination and nucleosynthesis. It is shown that wall-like-matter and string-like-matter can be interpreted as scalar fields with some potentials. This may give another candidate for the dark matter which may be compatible with observational data. For an exact elementary oscillatory solution it is shown that the associated scalar fields potentials are oscillating as well.
Ant colonies for performance optimization of multi-components systems subject to random failures

Reliability has been considered as an important design measure in industry. The design of a system involves in general numerous discrete choices among available component types based on reliability, cost, performance, weight, etc. If the design objective is to maximize reliability for a certain cost requirement, then a strategy is required to identify the optimal combination of components and/or design configuration. This leads to combinatorial optimization problems which are NP-hard. For large industrial problems, exact methods are lacking since they require a very large amount of computation time to obtain the solution of the problem. This chapter will focus on the use of ant colonies to solve three optimal design problems which are among the most important in practice: 1. The reliability optimization of series systems with multiple-choice constraints incorporated at each subsystem, to maximize the system reliability subject to the system budget. This is a nonlinear binary integer programming problem and characterized as an NP-hard problem. 2. The redundancy allocation problem (RAP) of binary series-parallel systems. This is a well known NP-hard problem which involves the selection of elements and redundancy levels to maximize system reliability given various system-level constraints. As telecommunications and internet protocol networks, manufacturing and power systems are becoming more and more complex, while requiring short developments schedules and very high reliability, it is becoming increasingly important to develop efficient solutions to the RAP. 3. Buffers and machines selections in unreliable series-parallel production lines: we consider a series-parallel manufacturing production line, where redundant machines and in-process buffers are included to achieve a greater production rate. The objective is to maximize production rate subject to a total cost constraint. Machines and buffers are chosen from a list of products available in the market. The buffers are characterized by their cost and size. The machines are characterized by their cost, failure rate, repair rate and processing time. To estimate series-parallel production line performance, an analytical decomposition-type approximation is proposed. Simulation results show that this approximate technique is very accurate. The optimal design problem is formulated
Distribution of horseradish peroxidase (HRP)-anti-HRP immune complexes in mouse spleen with special reference to follicular dendritic cells

The distribution of immune complexes has been studied in mouse spleen stimulated to contain many germinal centers (GC's). Horseradish peroxidase (HRP)-anti-HRP complexes were used as an appropriately precise and sensitive model. We were primarily interested in the relative abilities of three cell types to interact with complexes: lymphocytes, macrophages, and follicular dendritic cells (FDC's). The latter are distinctive, nonendocytic, stellate cells located primarily at the transition of mantle and GC zones of 2 degrees lymphoid follicles (Chen, L. L., J. C. Adams, and R. M. Steinman, 1978, J. Cell Biol. 77:148). Binding of immune complexes to lymphocytes could not be visualized in situ. Macrophages avidly interiorized complexes into lysosomes, but did not retain them extracellularly. In contrast, FDC's could retain HRP-anti-HRP extracellularly under appropriate conditions, but did not endocytose them. Cytochemical reactivity accumulated progressively on FDC's 1--6 h after administration of complexes i.v. , remained stable in amount and location for 1 day, and then was progressively lost over a 1- to 5-day period. Several variables in the association of complexes with macrophages and FDC's were pursued. Only 1 microgram of complexed HRP had to be administered to visualize binding to both cell types. Macrophages interiorized complexes formed in a wide range of HRP/anti-HRP ratios, while FDC's associated with complexes formed in HRP excess only. Quantitative studies with [125I]HRP-anti-HRP demonstrated that 20% of the splenic load of HRP associated with FDC's. Complexes formed with an F(ab')2 anti-HRP were distributed primarily in macrophages. When the levels of the third component of serum complement were depleted by prior treatment with cobra venom factor, uptake of complexes by macrophages was reduced some 50% whereas association with FDC's was abolished. The fact that antigen excess complexes are retained extracellularly strengthens the idea that they are immunogenic. Finally, the association of complexes with FDC's seems to retard the entry of antigen into the GC proper.
Öğrenci Bağlılık Ölçeğinin Geçerlik ve Güvenirliği

Bu calismanin amaci, Ogrenci baglilik olcegini gelistirmek, gecerlik ve guvenirlige iliskin kanitlar elde etmeye calismaktir. Olcek gelistirme calismasi icin 400 lise ve ortaokul ogrencisi ergenden veri toplanmistir (239 kiz, 161 erkek). Olcegin yapi gecerligi icin acimlayici faktor analizi yapilmis, olcegin toplam varyansinin %46,74’unu aciklayan bir yapi elde edilmistir. Yapilan analiz sonucunda olcek maddelerinin toplam 31 madde 3 faktorde toplandigi gorulmektedir. Faktorler literature bagli kalarak duygusal, davranissal ve bilissel baglilik olarak isimlendirilmistir. Olcut gecerligine kanit olmasi icin, okul iklimi olcegi kullanilmis, olcumler arasinda . 51 (p< .001) iliski bulunmustur. Ic tutarlilik duzeyine iliskin hesaplanan cronbach α katsayilari, olcegin tumu ve alt boyutlarinin sirasi ile, . 91, . 88, . 88 ve . 83 olarak bulunmustur. Olcegin 3 hafta ara ile yapilan test-tekrar test guvenirlik calismasinda puanlar arasinda . 77 (p< .001) korelasyon bulunmustur. Ogrenci baglilik olceginin tum maddeleri acisindan %27’lik alt ve ust gruplar arasinda anlamli fark elde edilmistir.
A Study on Performance of the (1+1)-Evolutionary Algorithm

The rst contribution of this paper is a theoretical comparison of the (1+1)-EA evolutionary algorithm to other evolutionary algorithms in the case of so-called monotone reproduction operator, which indicates that the (1+1)-EA is an optimal search technique in this setting. After that we study the expected optimization time for the (1+1)-EA and show two set covering problem families where it is superior to certain general-purpose exact algorithms. Finally some pessimistic estimates of mutation operators in terms of upper bounds on evolvability are suggested for the NP-hard optimization problems.
Quantum gravity, shadow states and quantum mechanics

A programme was recently initiated to bridge the gap between the Planck scale physics described by loop quantum gravity and the familiar low energy world. We illustrate the conceptual problems and their solutions through a toy model: quantum mechanics of a point particle. The model can also serve as a simple introduction to many of the ideas and constructions underlying quantum geometry. Maxwell fields will be discussed in the second paper of this series which further develops the programme.
Image context classification based on visual codebook feature boosting

This paper presents a method for classifying the context of images. The context of an image can be classified as indoor, outdoor or a more specific scene category. Several state of the art methods use visual codebooks in order to construct global image descriptors and classify the latter using a Support Vector Machine (SVM) classifier. This paper proposes boosting over visual codebook features as an alternative to SVM classification. The boosting based approach has several advantages: fast training and classification time, no need for classifier parameter tuning, efficient combination of different descriptor types, small classifier models. The proposed method performs well on large datasets with many classes and provides state of the art results.
Fast image rearrangement via multi-scale patch copying

In this paper, we propose a simple interactive way for a novel type of image synthesis called image rearrangement whose goal is to construct a new image based on some objects cropped from source images. The synthesis results are obtained by copying patches from the source images in a globally consistent way. The patch copying problem is formulated with the Markov random field model, and belief propagation is used as the optimization tool. To speed up our algorithm, a two-step belief propagation and a multi-scale patch copying scheme are taken. Experimental results indicate that our algorithm obtains satisfactory results in both performance and efficiency.
Range of motion of ankle and the simultaneous tasks paradigm during gait in the community-dwelling elderly

Decreased range of motion (ROM) of the ankle and dorsiflexor strength due to the aging process has been associated with increased risk of trips and falls. However, the impact of dual-task on the ankle ROM in elderly is not clear. It was our objective to evaluate the ankle ROM in community elderly during usual gait and two simultaneous task conditions (functional and cognitive). Thirty-two community elderly (66.8 ± 4.7 years) of both sexes, non-fallers, who had independent walking were recruited. The dorsiflexion and plantar flexion of the ankle were assessed in three situations: usual gait, gait with functional task and gait with cognitive task, using 8 cameras Qualisys Pro-reflex Oqus 300®. Analysis of variance (ANOVA) were applied and comparisons were made by Newman-Keuls using SPSS (version 16.0) adopting a significance level of 5% (p£ 0.05). There were no differences among tasks (p> 0.05) in the dorsiflexion and plantar flexion in the elderly, however, during the usual gait the dorsiflexion ROM of the elderly was lower than the normative values described in literature. The performance of tasks during walking have no influence on ankle ROM in non-fallers community-elderly. However, more studies including older adults who have previously fallen are necessary.
The chromospherically active binary CF Tuc revisited

This paper presents results derived from analysis of new spectroscopic and photometric observations of the chromospherically active binary system CFTuc. New high-resolution spectra, taken at the Mt. John University Observatory in 2007, were analysed using two methods: cross-correlation and Fourier-based disentangling. As a result, new radial velocity curves of both components were obtained. The resulting orbital elements of CF Tuc are a 1 sin i = 0.0254 ± 0.0001 au, a 2 sin i = 0.0228 ± 0.0001 au, M 1 sin i = 0.902 ± 0.005 M ⊙ and M 2 sin i = 1.008 ± 0.006 M ⊙ . The cooler component of the system shows Hα and Ca II H&K emissions. Using simultaneous spectroscopic and photometric observations, an anticorrelation between the Hα emission and the BV light curve maculation effects was found. This behaviour indicates a close spatial association between photospheric and chromospheric active regions. Our spectroscopic data and recent BV light curves were solved simultaneously using the Wilson-Devinney code. A dark spot on the surface of the cooler component was assumed to explain large asymmetries observed in the light curves. The following absolute parameters of the components were determined: M 1 = 1.11 ± 0.01 M ⊙ , M 2 = 1.23 ± 0.01 M ⊙ , R 1 = 1.63 ± 0.02 R ⊙ , R 2 = 3.60 ± 0.02 R⊙, L 1 = 3.32 ± 0.51 L ⊙ and L 2 = 3.91 ± 0.84 L ⊙ . The primary component has an age of about 5 Gyr and is approaching its main-sequence terminal age. The distance to CF Tuc was calculated to be 89 ± 6 pc from the dynamic parallax, neglecting interstellar absorption, in agreement with the Hipparcos value. The orbital period of the system was studied using the O-C analysis. The O-C diagram could be interpreted in terms of either two abrupt changes or a quasi-sinusoidal form superimposed on a downward parabola. These variations are discussed by reference to the combined effect of mass transfer and mass loss, the Applegate mechanism and also a light-time effect due to the existence of a third body in the system.
The dynamic range of gene expressions depend on their ontology

In this study we investigate the correlation between the normal variation of gene expressions and their ontologies. Three sets of time-series microarray data are utilized that represent three different but typical physiological/developmental processes. We analyze the dynamic range and the variation of expression levels during these processes for genes in each of the top-level ontologies of the biological process, molecular function and cellular component, as defined by GO. Significant and consistent differences are observed. For example, transcription factors were found to have consistent narrower dynamic range of expression in all three processes. The findings will shed light on study design, statistical evaluation, and data mining of genetic data including microarray data.
Confrontation of Genetic Algorithm Optimization Process with a New Reference Case: Analytical Study with Experimental Validation of the Deflection of a Cantilever Beam

This paper deals with the optimization of a cantilever beam submitted to its own weight. In a first approach, we consider that the beam section can be equal to two values and we are looking for the section changing location, which minimizes the deflection. We propose an analytical model with an experimental validation that will allow us to optimize the shape of the beam. Then, we develop a numerical code based on a genetic algorithm that we validate on this case. In a last section, we use our numerical optimization code to find the best shape of the beam, where the section can now take any values in a given range, to minimize its deflection. These two study cases can serve as reference case to validate numerical approach for automatic structure optimization.
Performances of coupled interconnect lines: the impact of inductance and routing orientation

In this paper we show the influence of inductance and routing orientation on timing performances by considering two configurations of parallel coupled interconnects, one with both drivers on the same side, and the other with the drivers in opposite directions. For a typical DSM (deep-sub-micron) process, we show that when analyzing VLSI circuits, if standard distributed RC models are used, and inductive effects and routing orientation are ignored, large errors can occur in the prediction and evaluation of the circuit behavior. Both greatly affect circuit performances: the discrepancy rates can reach 20% and 18% respectively for the latency and 50% and 30% for the output switching delay. The routing orientation can lead to a difference of 18% for the latency and 35% for the output transition time when the two lines have the same transitions.