pinecone/core-2020-05-10-deduplication huggingface dataset:
Development of a puncture electronic device for electrical conductivity measurements throughout meat salting

Conductivity measurements of food systems are of high interest because they are related with food characteristics such as free water and salt content. Nevertheless, as far as now no devices have been developed for punctual conductivity measurements inside solid foods. The aim of this work was to develop a conductimeter which allows obtaining punctual measurements in different locations of solid foods. The sensor consists of a coaxial needle while an electrical sign controlled by microcontroller is applied. The preliminary results indicate that the obtained response is proportional to the conductivity and the salt content in the zone of measurement of the food, being possible its use for salted food analysis and control
Extraction of Geometrical Features in 3D Environments for Service Robotic Applications

Modeling environments with 3D feature based representations is a challenging issue in current mobile robotics. Fast and robust algorithms are required for applicability to navigation. We present an original and effective segmentation method that uses computer vision techniques and the residuals from plane fitting as measurements to generate a range image from 3D data acquired by a laser scanner. The extracted points of each region are converted into plane patches, spheres and cylinders by means of least-squares fitting
Estimating the computational cost of logic programs

Information about the computational cost of programs is potentially useful for a variety of purposes, including selecting among different algorithms, guiding program transformations, in granularity control and mapping decisions in parallelizing compilers, and query optimization in deductive databases. Cost analysis of logic programs is complicated by nondeterminism: on the one hand, procedures can return múltiple Solutions, making it necessary to estímate the number of solutions in order to give nontrivial upper bound cost estimates; on the other hand, the possibility of failure has to be taken into account while estimating lower bounds. Here we discuss techniques to address these problems to some extent
On the Biological Plausibility of Artificial Metaplasticity

The training algorithm studied in this paper is inspired by the biological metaplasticity property of neurons. Tested on different multidisciplinary applications, it achieves a more efficient training and improves Artificial Neural Network Performance. The algorithm has been recently proposed for Artificial Neural Networks in general, although for the purpose of discussing its biological plausibility, a Multilayer Perceptron has been used. During the training phase, the artificial metaplasticity multilayer perceptron could be considered a new probabilistic version of the presynaptic rule, as during the training phase the algorithm assigns higher values for updating the weights in the less probable activations than in the ones with higher probabilit
Reverse-engineering of architectural buildings based on an hybrid modeling approach

We thank MENSI and REALVIZ companies for their helpful comments and the following people for providing us images from their works: Francesca De Domenico
(Fig. 1), Kyung-Tae Kim (Fig. 9). The CMN (French national center of patrimony buildings) is also acknowledged for the opportunity given to demonstrate our approach on the Hotel de Sully in Paris. We thank Tudor Driscu for his help on the English translation.This article presents a set of theoretical reflections and technical demonstrations that constitute a new methodological base for the architectural surveying and representation using computer graphics techniques. The problem we treated relates to three distinct concerns: the surveying of architectural objects, the construction and the semantic enrichment of their geometrical models, and their handling for the extraction of dimensional information. A hybrid approach to 3D reconstruction is described. This new approach combines range-based modeling and image-based modeling techniques;
it integrates the concept of architectural feature-based modeling. To develop this concept set up a first process of extraction and formalization of architectural knowledge based on the analysis of architectural treaties is carried on.
Then, the identified features are used to produce a template shape library. Finally the problem of the overall model structure and organization is addressed
Comparative effects of herbicide dicamba and related compound on plant mitochondrial bioenergetics

The herbicide dicamba (3,6-dichloro-2-methoxybenzoic acid) was evaluated for its effects on bioenergetic activities of potato tuber mitochondria to elucidate putative mechanisms of action and to compare its toxicity with 2-chlorobenzoic acid. Dicamba (4 mumol/mg mitochondrial protein) induces a limited stimulation of state 4 respiration of ca. 10%, and the above concentrations significantly inhibit respiration, whereas 2-chlorobenzoic acid maximally stimulates state 4 respiration (ca. 50%) at about 25 mumol/mg mitochondrial protein. As opposed to these limited effects on state 4 respiration, transmembrane electrical potential is strongly decreased by dicamba and 2-chlorobenzoic acid. Dicamba (25 mumol/mg mitochondrial protein) collapses, almost completely, Deltapsi; similar concentrations of 2-chlorobenzoic acid promote Deltapsi drops of about 50%. Proton permeabilization partially contributes to Deltapsi collapse since swelling in K-acetate medium is stimulated, with dicamba promoting a stronger stimulation. The Deltapsi decrease induced by dicamba is not exclusively the result of a stimulation on the proton leak through the mitochondrial inner membrane, since there was no correspondence between the Deltapsi decrease and the change on the O2 consumption on state 4 respiration; on the contrary, for concentrations above 8 mumol/mg mitochondrial protein a strong inhibition was observed. Both compounds inhibit the activity of respiratory complexes II and III but complex IV is not significantly affected. Complex I seems to be sensitive to these xenobiotics. In conclusion, dicamba is a stronger mitochondrial respiratory chain inhibitor and uncoupler as compared to 2-chlorobenzoic acid. Apparently, the differences in the lipophilicity are related to the different activities on mitochondrial bioenergetics. © 2003 Wiley Periodicals, Inc. J Biochem Mol Toxicol 17:185-192, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/jbt.10077http://dx.doi.org/10.1002/jbt.1007
Sexual preferences for songs in female domestic canaries ( Serinus canaria): can late song exposure, without social reinforcement, influence the effects of early tutoring?

We studied the relative effects of early and late song exposure without social reinforcement on female sexual preferences in the domestic canary ( Serinus canaria). Young female canaries were tape-tutored during their first 4 months of life with songs of either domestic or wild male canaries (DT and WT conditions). When they reached sexual maturity, these females were placed in breeding conditions and some of them were re-exposed to songs. During this “late exposure” the females, according to their experimental group, were either presented with new domestic or wild songs (DL and WL conditions) over 40 days, or were kept without song stimulation (- condition). Afterwards, we assessed the sexual preferences of all the females for domestic or wild songs using the copulation solicitation display assay. The results showed that both DT/– and DT/DL females showed a clear preference for domestic songs. However, whereas WT/WL females preferred wild songs; WT/– females did not show any preference. Finally, DT/WL and WT/DL females failed to show any preference. It appeared that a second song experience at the beginning of their first breeding season, without any social reinforcement, allowed the emergence or stabilisation of early preferences, or interfered with these early preferences depending on whether the song category used during the late exposure phase matched or not the song category used during the early tutoring phase, and also depending on which category was used during the first tutoring phase. This behavioural plasticity could help young adult females to adjust the ‘standard’ they built during infancy to new environmental conditions.http://dx.doi.org/10.1007/s10211-004-0088-
57Fe Mössbauer Studies in Mo–Fe Supported Catalysts

Abstract  Industrially, the Mo–Fe catalysts used in the selective oxidation of methanol to formaldehyde can rapidly deactivate. The use of support materials may reduce the high temperatures in the catalytic bed and/or increase thermal and mechanical resistance. However, during the preparation of these catalysts, or even during reaction conditions, the active species may react with the support material losing their catalytic activity. In this work silica, silicium carbide and titania were studied as supported catalysts by Mssbauer spectroscopy which proved to be a useful technique in the choice of supported materials.http://dx.doi.org/10.1023/A:101557371646
Coherent Light induced in Optical Fiber by a Charged Particle

International audienceCoherent light production in an optical fiber by a charged particle (named PIGL, for particle-induced guided, light) is reviewed. From the microscopic point of view, light is emitted by transient electric dipoles induced in the fiber medium by the Coulomb field of the particle. The phenomenon can also considered as the capture of virtual photons of the particle field by the fiber. Two types of captures are distinguished. Type-I takes place in a uniform part of the fiber; then the photon keeps its longitudinal momentum pz . Type-II takes place near an end or in a non-uniform part of the fiber; then pz is not conserved. Type-I PIGL is not affected by background lights external to the fiber. At grazing incidence it becomes nearly monochromatic. Its circular polarization depends on the angular momentum of the particle about the fiber and on the relative velocity between the particle and the guided wave. A general formula for the yield of Type-II radiation, based on the reciprocity theorem, is proposed. This radiation can be assisted by metallic objects stuck to the fiber, via plasmon excitation. A periodic structure leads to a guided Smith-Purcell radiation. Applications of PIGL in beam diagnostics are considered
Microcantilever arrays functionalised with spiropyran photoactive moieties as systems to measure photo-induced surface stress changes

Herein we investigate the feasibility of detecting photo-induced surface stress changes using the deflection response of cantilevers. For this purpose, silicon microcantilevers have been functionalised with spiropyran photochromic molecules, using both a monolayer and a polymeric brushes approach. Upon ultraviolet light irradiation, the spiropyran unit is converted to the merocyanine form due to the photo-induced cleavage of the Cspiro-O bond. The two forms of the molecule have dramatically different charge, polarity and molecular conformations. This makes spiropyrans an ideal system to study the correlation between photo-induced molecular changes and corresponding changes in surface stress. Our investigations include monitoring the changes in static cantilever deflection, and consequently, surface stress of the spiropyran functionalised cantilevers on exposure to ultraviolet light. Cantilever deflection data reveals that ultraviolet induced conformational changes in the spiropyran moiety cause a change in compressive surface stress and this varies with the type of functionalisation method implemented. The change in surface stress response from the spiropyran polymer brushes functionalised cantilevers gives an average surface stress change of 98 Nm-1 (n = 8) while the spiropyran monolayer coated cantilevers have an average surface stress change of about 446 Nm-1 (n = 24) upon irradiation with UV light
Formal statement of the special principle of relativity

While there is a longstanding discussion about the interpretation of the extended, general principle of relativity, there seems to be a consensus that the special principle of relativity is absolutely clear and unproblematic. However, a closer look at the literature on relativistic physics reveals a more confusing picture. There is a huge variety of, sometimes metaphoric, formulations of the relativity principle, and there are different, sometimes controversial, views on its actual content. The aim of this paper is to develop a precise language in order to provide a precise formulation of the principle. In view of the fact that the special relativity principle is considered as a universal meta-law, which must be valid for all physical laws in all situations, we try to keep the formalism as general as possible. The benefit of the formal reconstruction is that it makes explicit all the necessary conceptual components of the principle; it brings out many subtle details and the related conceptual problems
Urban Rapid Transit Network Capacity Expansion

This paper examines a multi-period capacity expansion problem for rapid transit network design. The capacity expansion is realized through the location of train alignments and stations in an urban traffic context by selecting the time periods. The model maximizes the public transportation demand using a limited budget and designing lines for each period. The location problem incorporates the user decisions about mode and route. The network capacity expansion is a long-term planning problem because the network is built over several periods, in which the data (demand, resource price, etc.) are changing like the real problem changes. This complex problem cannot be solved by branch and bound, and for this reason, a heuristic approach has been defined in order to solve it. Both methods have been experimented in test networks
Logistic regression for simulating damage occurrence on a fruit grading line

Many factors influence the incidence of mechanical damage in fruit handled on a grading line. This makes it difficult to address damage estimation from an analytical point of view. During fruit transfer from one element of a grading line to another, damage occurs as a combined effect of machinery roughness and the intrinsic susceptibility of fruit. This paper describes a method to estimate bruise probability by means of logistic regression, using data yielded by specific laboratory tests. Model accuracy was measured via the statistical significance of its parameters and its classification ability. The prediction model was then linked to a simulation model through which impacts and load levels, similar to those of real grading lines, could be generated. The simulation output sample size was determined to yield reliable estimations. The process makes it possible to derive a suitable line design and the type of fruit that should be handled to maintain bruise levels within European Union (EU) Standards. A real example with peaches was carried out with the aid of the software implementation SIMLIN®, developed by the authors and registered by Madrid Technical University. This kind of tool has been demanded by inter-professional associations and grading lines designers in recent year
A model to predict the behaviour at part load operation of once-through heat recovery steam generators working with water at supercritical pressure

This paper describes a one-dimensional mathematical model that allows simulating the heat exchange in a steam generator working with water at supercritical pressure. The model has been developed in order to simulate the full and part load behaviour of heat recovery steam generators (HRSGs) of combined cycle gas turbine (CCGT) power plants. It takes into account the strong variation of some of the thermal and transport properties of fluids at supercritical pressure and discusses what parameters may be considered as constant along the heat exchanger.\ud
On the one hand, the model is useful because going supercritical is considered a way to further improve the efficiency of CCGT power plants and, on the other hand, because part load operation is the most usual operation mode in power plants
Forward Stagewise Naive Bayes

The naïve Bayes approach is a simple but often satisfactory method for supervised classification. In this paper, we focus on the naïve Bayes model and propose the application of regularization techniques to learn a naïve Bayes classifier. The main contribution of the paper is a stagewise version of the selective naïve Bayes, which can be considered a regularized version of the naïve Bayes model. We call it forward stagewise naïve Bayes. For comparison’s sake, we also introduce an explicitly regularized formulation of the naïve Bayes model, where conditional independence (absence of arcs) is promoted via an L 1/L 2-group penalty on the parameters that define the conditional probability distributions. Although already published in the literature, this idea has only been applied for continuous predictors. We extend this formulation to discrete predictors and propose a modification that yields an adaptive penalization. We show that, whereas the L 1/L 2 group penalty formulation only discards irrelevant predictors, the forward stagewise naïve Bayes can discard both irrelevant and redundant predictors, which are known to be harmful for the naïve Bayes classifier. Both approaches, however, usually improve the classical naïve Bayes model’s accuracy
An experimental and numerical study of the pattern of cracking of concrete due to steel reinforcement corrosion

In this work, cracking of concrete due to steel reinforcement corrosion is experimentally and numerically studied. The tests combined accelerated corrosion—to generate the cracks—with impregnation under vacuum with resin containing fluorescein—to enhance their visibility under ultraviolet light. In parallel, a model—called expansive joint element—was developed to simulate the expansion of the oxide and finite elements with an embedded adaptable cohesive crack were used to describe concrete cracking. The results show that a good agreement exists between the experimental and numerical crack patterns, which constitutes promising progress towards a comprehensive understanding of corrosion-induced cracking in reinforced concrete
Automated end user-centred adaptation of web components through automated description logic-based reasoning

Context: This paper addresses one of the major end-user development (EUD) challenges, namely, how to pack today?s EUD support tools with composable elements. This would give end users better access to more components which they can use to build a solution tailored to their own needs. The success of later end-user software engineering (EUSE) activities largely depends on how many components each tool has and how adaptable components are to multiple problem domains. Objective: A system for automatically adapting heterogeneous components to a common development environment would offer a sizeable saving of time and resources within the EUD support tool construction process. This paper presents an automated adaptation system for transforming EUD components to a standard format. Method: This system is based on the use of description logic. Based on a generic UML2 data model, this description logic is able to check whether an end-user component can be transformed to this modeling language through subsumption or as an instance of the UML2 model. Besides it automatically finds a consistent, non-ambiguous and finite set of XSLT mappings to automatically prepare data in order to leverage the component as part of a tool that conforms to the target UML2 component model. Results: The proposed system has been successfully applied to components from four prominent EUD tools. These components were automatically converted to a standard format. In order to validate the proposed system, rich internet applications (RIA) used as an operational support system for operators at a large services company were developed using automatically adapted standard format components. These RIAs would be impossible to develop using each EUD tool separately. Conclusion: The positive results of applying our system for automatically adapting components from current tool catalogues are indicative of the system?s effectiveness. Use of this system could foster the growth of web EUD component catalogues, leveraging a vast ecosystem of user-centred SaaS to further current EUSE trends
Economic modeling of the CO2 transportation phase and its application to the Duero Basin, Spain

Carbon capture and storage is a viable option to reduce greenhouse gas emissions. Although capture and geological storage of CO2 are the major forms of research, CO2 transportation should be also considered in the entire chain. There are still some issues that require a more accurate definition, especially in economic aspects. In this study, we explore concepts such as the uses of a storage structure for a single source with, for instance, an individual transportation line, and the use of a centralized model using a geological structure for several co2 emitters. This model has been applied in a given region of Spain, in order to determine the maximum distance between the sources and the potential areas for storing CO2, using a geographical information system to evaluate the data. Moreover, sensitive analysis was performed in order to provide a better understanding of the economical implications of CO2 transportation
Learning and relationship orientation: an empirical examination in European museums

Producción CientíficaThe purpose of this paper is to assess the interrelations between learning orientation, innovation strategy, relationship orientation and economic and social performance in the management of cultural organizations such as museums. We first provide a review of the literature addressing the main constructs involved in the research: learning orientation, innovation, relationship orientation and performance and we detail the model’s hypotheses reflecting the interrelations amongst the proposed variables. Building on extensive literature, a model is developed and empirically tested using survey data collected from 491 European museums in Spain, France, Italy and the United Kingdom. Data are analyzed through structural equation modelling. In the present study, evidence is found to support the positive and significant link between learning orientation and internal (organizational innovation) as well as external (relationship orientation) changes in museums. Further, we find that organizational innovation and relationship orientation aid the introduction of greater technological developments in these organizations. We also find evidence to support the idea that learning orientation, innovation strategy and relationship orientation impact the economic and social performance of museums. Findings clearly show that achieving organizational objectives through learning processes necessarily entails the introduction of internal changes –innovation-, and external relationships –relationship orientation.Ministerio de Economía, Industria y Competitividad (SEJ2007-67095/ECON
Influence of the N/Z ratio on Disintegration Modes of Compound Nuclei

Expérience GANIL, Détecteur INDRAInternational audienceInvestigations into the role of the N/Z ratio on the decay modes of compound nuclei are presented. Characteristics of fragments with atomic number 6$\leq$Z$\leq$28 and light charged particles emitted in 78,82Kr+40Ca at 5.5 MeV/A reactions were measured at the GANIL facility using the 4$\pi$-INDRA array. Data are compatible with an emission process from a compound nucleus. Persistence of structure effects and emission before full separation of fission fragments are evidenced from elemental cross-sections and coincidence data between light charged particles and fragments. Data are discussed in the framework of the transition state mode