Miracle-dz/UniFAR-FTUs huggingface dataset:
Art as an Investment and Conspicuous Consumption Good

ments, art is also a consumption good. Art owners take pleasure in its intrinsic value (e.g., for aesthetic pleasure or as a “storehouse” of an artist’s deftness ), and to the extent that it is a luxury good, they derive additional enjoyment from the signal of wealth that owning a masterpiece transmits. It is the mixture of pecuniary and nonpecuniary payoffs to ownership that makes artworks both compelling to purchase and difficult to value. I exploit this insight to explain why the measured risk premium of a portfolio of artworks is low compared to other risky assets. In a consumption-based pricing model, an asset’s risk premium is a function of the covariance of its returns with agents’ marginal utility of consump tion; agents need to be compensated if the asset pays off in a period of already high utility. As a luxury good, relative art demand is an increasing function of wealth. Therefore, positive shocks to income increase the demand, price, and returns to art in periods of high consumption utility, implying a high risk premium. This intuition is at odds with empirical studies that quantify the average financial returns of paintings relative to more traditional investment vehicles. These studies find that art 1 often underperforms relative to equities and bonds. While there have been
Optimization on RF parameters of a Choke-Mode Structure for the Clic Main LINAC

A choke-mode damped structure for the main linac of a Compact Linear Collider (CLIC) was designed and named “CDS-C”. The wakefield suppression of this structure fits the beam dynamics requirements and is verified by the GDFIDL simulations. Compared to the baseline design of the CLIC main linac, the CDS-C design has lower RF-to-beam efficiency and high surface electromagnetically field. Optimization using a genetic algorithm on the RF parameters of CLIC choke-mode structure is carried out. A new design of the tapered choke-mode structure is designed and increases the RFto-beam efficiency and reduces maximum surface field.
Modeling and Simulating Persuasion Strategies: Domain Specific Language for Persuasive Systems’ Design Productivity

The exponential growth of Information and Communication Technologies (ICT) has changed our way of performing tasks in diverse domains such as economy, health, and higher education. Still the effectiveness of the ICT is not maximal due to lack in efficient Human Machine Interaction (HMI) design. Hence, several studies have emerged in the persuasive technologies science to address the limitation of the HMI design. Nevertheless, there are still lack of tools and models that enable better productivity management. Indeed, all persuasive system design models highlight the need for tests before implementing persuasive strategies. These tests are challenging as they are often time and resource consuming. Our research work addresses the question: At which extent Domain-Specific Languages can enhance productivity in Persuasive Design processes. These Languages can provide the expressiveness power needed either for designing and testing persuasion strategies. In this paper, we discuss our analysis of existing tools and models and we explore the possibilities and limitations of a Domain-Specific Language to be applied and/or adapted to persuasive technologies.
A map-based method for eliminating systematic modes from galaxy clustering power spectra with application to BOSS

We develop a practical methodology to remove modes from a galaxy survey power spectrum that are associated with systematic errors. We apply this to the BOSS CMASS sample, to see if it removes the excess power previously observed beyond the best-fit $\Lambda$CDM model on very large scales. We consider several possible sources of data contamination, and check whether they affect the number of targets that can be observed and the power spectrum measurements. We describe a general framework for how such knowledge can be transformed into template fields. Mode subtraction can then be used to remove these systematic contaminants at least as well as applying corrective weighting to the observed galaxies, but benefits from giving an unbiased power. Even after applying templates for all known systematics, we find a large-scale power excess, but this is reduced compared with that observed using the weights provided by the BOSS team. This excess is at much larger scales than the BAO scale and does not affect the main results of BOSS. However, it will be important for the measurement of a scale-dependent bias due to primordial non-Gaussianity. The excess is beyond that allowed by any simple model of non-Gaussianity matching Planck data, and is not matched in other surveys. We show that this power excess can further be reduced but is still present using "phenomenological" templates, designed to consider further potentially unknown sources of systematic contamination. As all discrepant angular modes can be removed using "phenomenological" templates, the potentially remaining contaminant acts radially.
Design of a Chaotic Trajectory Generator Algorithm for Mobile Robots

This paper addresses the problem of designing an algorithm capable of generating chaotic trajectories for mobile robots. In particular, the chaotic behavior is induced in the linear and angular velocities of a differential drive mobile robot by infusing them with the states of the Hénon chaotic map. A possible application of patrolling a work area by using trajectories with chaotic motion in differential drive mobile robots is presented. In this work, obtained numerical and experimental results are reported and analyzed. In addition, two quantitative numerical tests are applied in order to measure the chaoticity of the generated trajectories. With the intention of expanding this work further, we explore the case where multiple mobile robots move simultaneously in the same work area with different trajectories, and the final results are exhaustively analyzed. In addition, experimental results are presented.
Interannual variations of river water storage from a multiple satellite approach: A case study for the Rio Negro River basin

Spatiotemporal variations of water volume over inundated areas located in a large river basin have been determined using combined observations from a multisatellite inundation data set, the TOPEX/POSEIDON (T/P) altimetry satellite, and in situ hydrographic stations for the water levels over rivers and floodplains. We computed maps of monthly surface water volume change over the period of common availability of T/P and the multisatellite data (1993–2000). The basin of the Negro River, the largest tributary in terms of discharge to the Amazon River, was selected as a test site. A strong seasonal signal is observed with minima in October and maxima in June. A strong interannual component is also present, particularly important during ENSO years. The surface water change was estimated to be 167 ± 39 km3 between October 1995 (low water) and June 1996 (high water). This result is consistent with previous estimates obtained for the 1995–1996 hydrological cycle over the same area using the JERS mosaic data. The surface water volume change is then compared to the total water volume change inferred from the GRACE satellite for an average annual cycle. The difference between the surface storage change and the total storage change derived from GRACE was computed to estimate the contribution of the soil moisture and groundwater to the total storage change. Our study supports the hypothesis that total water storage is almost equally partitioned between surface water and the combination of soil moisture and groundwater for the Negro River basin. The water volume changes are also evaluated using in situ discharge measurements and the GPCP precipitation product (correlation of 0.61). The results show the high potential for the new technique to provide valuable information to improve our understanding of large river basin hydrologic processes.
Strategic sense-giving at the micro-level: facilitating and triggering coordinated action

Collective, coordinated action allows a group to achieve results that are beyond the sum of individual efforts. How do executives help people to take coordinated actions? How do they influence the sense-making of the people to ensure that the group is able to act as a collective? To answer these questions, I carried out an in-depth study of a CIO’s sense-giving tactics and identified how his sense-giving facilitates and triggers collective, coordinated action. Accordingly, this sense-giver creates both shared understanding and shared faith through specific micro-tactics, to increase ‘collective action potential’, which he then transforms to action by using specific triggering tactics. I abstract the sense-giving tactics used by the CIO and explain their theoretical mechanisms. Thus, I extend research on sense-giving and coordinated action.
Impact of mechanical refining on the heat tolerance of cellulosic paper

Cellulosic paper is widely used in various applications, such as for decoration and in cold-rolled stainless steel. The thermal stabilities of cellulosic fibers were investigated with a thermogravimetric analyzer. Additionally, the impact of mechanical refining on the heat resistance of cellulosic paper was evaluated by testing the tensile strength and brightness of the samples derived from pulp with various beating degrees. The morphology of the paper was characterized with scanning electron microscopy and the monose content of the pulp samples was determined with high performance liquid chromatography. The results showed that the different pulps had different thermal stabilities. Because of pulp refining, the heat tolerance was enhanced in terms of the strength and optical properties. Compared with the original papers, the tensile strength and brightness of the 40°SR papers on average increased by 217% and 114%, respectively, all evaluated after heating at 240 °C. Therefore, the heat tolerance of cellulosic paper can be tuned with pulp refining.
Infrastructure-Assisted Communication for CAR-to-X Communication

Vehicular communication is considered an important technology in Intelligent Transport Systems because it allows vehicles to exchange information with each other to improve road safety, traffic efficiency, and travel comfort. Several research pr ojects have investigated the feasibility of vehicul ar communication using a centralized or distributed ap proach. The distributed approach employs shortrange wireless communication such as IEEE 802.11p, positioning technology (GPS) and positionbased ad hoc routing. The centralized approach reli es on the wireless access network infrastructure of mobile network operators. This paper presents a sur vey for both approaches and discusses the advantages and disadvantages of these approaches.
Coverage and Compliance of Mass Drug Administration in Lymphatic Filariasis: A Comparative Analysis in a District of West Bengal, India

Results: In the year 2009, coverage, compliance, coverage compliance gap (CCG) and effective coverage was seen to be 84.1%, 70.5%, 29.5% and 59.3% respectively. In 2010, the results further deteriorated to 78.5%, 66.9%, 33.3% and 57% respectively. The poor coverage and compliance were attributed to improper training of service providers and lack of community awareness regarding MDA. Conclusion: The study emphasized supervised consumption, retraining of service providers before MDA activities, strengthening behaviour change communication strategy for community awareness. Advocacy by the program managers and policy makers towards prioritization of MDA program will make the story of filaria elimination a success.
Investigation of the small scale statistics of turbulence in the Modane S 1 MA wind-tunnel ( part ESWIRP project )

1. LEGI – UMR 5519, CNRS/Université Grenoble Alpes, Grenoble (France) 2. Institut Néel, CNRS, Grenoble (France) 3. University of Washington, Seattle (USA) 4. Laboratoire de Physique, CNRS/ENS de Lyon (France) 5. IRSTEA, Rennes (France) 6. Institut PPrime, CNRS/Université de Poitiers (France) 7. CORIA, CNRS/Université de Rouen (France) 8. MPIDS for Dynamics and Self Organization, Gottingen (Germany) 9. KTH, Stokholm (Sweden) 10. University of Mondragon (Spain) 11. ETW, Kohln (Gremany) 12. Von Karman Institute, Sint-Genesius-Rode (Belgium) 13. Academy of Science of the Czech Rep., Prague 14. University of Oldenburg (Germany)
ON THE RELATION BETWEEN GAMES IN EXTENSIVE FORM AND GAMES IN STRATEGIC FORM

Ever since the publication of von Neumann and Morgenstern's 'Theory of Games and Economic Behavior' there has been a debate whether, and in what sense, games in extensive form can be reduced to games in normal form. I will provide an argument that the representation of extensive form games by normal form games is in general not adequate. My argument is based on a dynamical concept of genericity (structural stability), which is of importance in evolutionary game theory and the theory of learning in games. Games in extensive form do in general have non-generic dynamical properties, while the dynamics of games in normal form is almost always generic.
DOC trail: soil organic matter quality and soil aggregate stability in organic and conventional soils

Conclusion Soil organic matter quality is affected by the agricultural systems of the DOC trial. System effects on the chemical composition, however, were smaller than those on the living organisms in soil and their functions. A close correlation was found between soil structure and microbial biomass indicating that microbes are playing an important role in soil structural stability.
Application of the second order generalized integrator in digital control systems

The paper describes second order generalized integrator (sogi) which is specialized in band-pass filtering and orthogonalization of periodic signals. Modifications of the structure and the influence of parameters on the system performance is described. The article highlights the particular importance of model discretization method in the practical implementation, as well as reviews estimation methods of the: amplitude, frequency, offset and phase angle of the periodic signal. Examples of simulation and experimental results are presented.
Representations of the multi-qubit Clifford group

The Clifford group is a fundamental structure in quantum information with a wide variety of applications. We discuss the tensor representations of the $q$-qubit Clifford group, which is defined as the normalizer of the $q$-qubit Pauli group in $U(2^q)$. In particular, we characterize all irreducible subrepresentations of the two-copy representation $\varphi^{\otimes2}$ of the Clifford group on the matrix space $\mathbb{C}^{d\times d}\otimes \mathbb{C}^{d\times d}$ with $d=2^q$. In an upcoming companion paper we applied this result to cut down the number of samples necessary to perform randomised benchmarking, a method for characterising quantum systems.
Genetic analysis of candidate susceptibility genes for type 1 diabetes

Type 1 diabetes (T1D) is a complex disease where the pancreatic β-cells are destroyed in an autoimmune attack. For the patients, this leads to lifelong daily insulin treatment and increased risk for various kinds of complications. It is thought that both environmental as well as genetic factors act in concert to cause T1D. The Human Leukocyte Antigen (HLA) region located on chromosome 6 accounts for about 50% of the genetic risk to develop T1D. Several other genes are also known to contribute to disease risk. Paper I. Previous publications indicate that the programmed cell death 1 (PDCD1) gene (chr.2) is associated to various autoimmune diseases. PDCD1 is involved in maintaining self tolerance. The aim of our study was to test the involvement of the PDCD1 gene in T1D susceptibility. However, when two separate Swedish cohorts were analyzed no association or linkage was found between T1D and the PDCD1 gene. Nor did we observe any association in a meta-analysis with a previous study reporting association between PDCD1 and T1D. Paper II. We have in a previous study observed suggestive linkage to the chromosome 5p13-q13 region in Scandinavian T1D families. This region showed stronger evidence of linkage, when only the Swedish families were investigated. Genotyping of more than 70 markers in the Swedish families revealed two associated candidate genes: 5-hydroxytryptamine (serotonin) receptor 1A (HTR1A) and ringfinger protein 180 (RNF180). Association of both genes has been confirmed by us in Danish families. The two genes are in strong linkage disequilibrium with each other. However conditional analysis data suggest that HTR1A may be most strongly associated. Further, we report that HTR1A is expressed in human β-cells and α-cells. Paper III. The class II transactivator (CIITA) gene (chr.16) is crucial for MHC II gene regulation and has been reported to associate with susceptibility to a number of complex diseases. By genotyping SNPs in Swedish T1D cohorts and the combined control material from previous studies of CIITA we have observed significant difference in the genotype distribution for three markers in CIITA with respect to age, in the collected control material. This phenomenon was confirmed in an independent control material. After adjusting for age we detect association to T1D for two markers in our T1D material. Further, we observed interaction between markers in CIITA and the protective HLA DR15 haplotype. These findings suggest that a polymorphism in the CIITA gene area may be associated with type 1 diabetes susceptibility. Importantly, results also suggest that control groups should be properly matched
CNTFET based Highly Durable Radix-4 Multiplier using an Efficient Hybrid Adder

CNTFET is a novel device that is projected to outperform scaled CMOS technologies.Multiplier is one of the very important hardware blocks such as FIR filters, digital signal processors etc.The performance speed of the multiplier often affects the overall speed performance in VLSI systems. On the whole, multiplication employs most of the execution time in many Digital signal processor (DSP) devices. So, high speed multiplier is greatly desired. In this paper, a high speed existing radix-4 multiplier based Shannon adder is analysed intensively. To achieve an efficient radix-4 multiplier, the proposed hybrid adder was implemented for further power reduction in high speed parallel radix-4 multiplier circuits. The proposed radix-4 multiplier is more desirable for obtaining the low power consumption, less propagation delay and efficient power delay product. Simulations are executed using Synopsys HSpice in 32nm CMOS and 32nm CNTFET Technologies. The simulation results exhibits the transcendences of the proposed structures in terms of Power consumption, propagation delay and Power delay product compared to the advanced technology of CMOS and CNTFET based designs.
Modelling 3 D Object Shape

Signi cant progress has been made in recent years in computer vision tasks such as object detection, recognition and segmentation. However, full scene understanding, where the goal is to infer the 3D positions and poses of objects in a scene, as well as the location of the lighting source and camera, remains a challenging task. To this end a model of object shape can be very useful, whether as a means of generating richly-annotated training data for a recognition model, or as a component in an inverse-graphics system. Additionally, in computer graphics, content creation is a central task, and a shape model can be used to synthesize realistic objects that can be placed within a scene. However, shape modelling is challenging due to the high level of variability that can be present in an object class, and the di culty of nding an appropriate shape representation. We present a system that can learn to generate novel instances of an object class using a collection of examples from that object class as training data. The system automatically obtains a landmark representation of objects from the object class, learns a shape model using the landmark representation, samples from this model, and generates a mesh that matches the shape of the landmark sample. We evaluate he system on a number of object classes, and demonstrate its ability to produce class instances that are both novel and realistic.
Family leisure-time physical activities – results of the “Juniors for Seniors” 15-week intervention programme

Summary Study aim: Both adequate time and quality time are important for the wellbeing of a family. The study evaluated the effectiveness of a 15-week family-based physical activity (PA) intervention entitled “Junior for Seniors”. It included both children and parents. The paper focuses on an important topic - family-based leisure-time physical activity (LTPA). It is set in Polish primary schools, which is a novel approach. Regular physical activity for young people and their parents improves health and fitness including strength and endurance, promotes development of healthy bones and muscles, helps control weight and increases self-esteem. Material and methods: In 2015, 24 children (“juniors”, 14 girls and 10 boys, aged (mean ± SD) 7.96 ± 0.69 years) and 22 parents (“seniors”, 14 mothers aged 38.86 ± 2.96 years and 8 fathers aged 37.38 ± 2.97 years) were voluntarily enrolled in a study encompassing three primary schools in the city of Poznań, Poland. To measure factors associated with LTPA, selected questions from the Health Behaviour in School-aged Children (HBSC) questionnaire were used. Results: As a result of the intervention, children increased both the amount of time they spent on intense LTPA and the frequency with which they undertook LTPA (values for “time spent on intense physical exercises during leisure time” were statistically significantly higher in the post-test; Z = -2.57; p < 0.05). In the post-test, statistically significant relations were obtained between the following variables: reason for physical activity: for better sport results - with family: playing together; r = 0.41, p < 0.05. In the parents’ group no statistically significant increase was observed in any of the variables measured. Conclusions: The research issues presented in this paper require further exploration in larger scale studies. However, based on the present study, it may be concluded that one important goal has been achieved: that of more frequent family social behaviours and improved quality of LTPA.
NOEMA Observations of a Molecular Cloud in the Low-metallicity Galaxy Kiso 5639

A giant star-forming region in a metal-poor dwarf galaxy has been observed in optical lines with the 10 m Gran Telescopio Canarias (GTC) and in the emission line of CO(1–0) with the Northern Extended Millimeter Array (NOEMA) mm-wave interferometer. The metallicity was determined to be , from which we estimate a conversion factor of αCO ∼ 100 M⊙ pc−2(K km s−1)−1 and a molecular cloud mass of ∼2.9 × 107 M⊙. This is an enormous concentration of molecular mass at one end of a small galaxy, suggesting a recent accretion. The molecular cloud properties seem normal: the surface density, 120 M⊙ pc−2, is comparable to that of a standard giant molecular cloud; the cloud’s virial ratio of ∼1.8 is in the star formation range; and the gas consumption time, 0.5 Gyr, at the present star formation rate is typical for molecular regions. The low metallicity implies that the cloud has an average visual extinction of only 0.8 mag, which is close to the threshold for molecule formation. With such an extinction threshold, molecular clouds in metal-poor regions should have high surface densities and high internal pressures. If high pressure is associated with the formation of massive clusters, then metal-poor galaxies such as dwarfs in the early universe could have been the hosts of metal-poor globular clusters.