Miracle-dz/UniFAR-FTUs huggingface dataset:
Microblogging emotion classification based on multi-classifier integration strategy

This paper proposed a two-step classification approach based on multi-classifier integration strategy for Chinese microblogging emotion classification. The first step identifies the non-emotional microblogging by combining Gradient Boosting Decision Tree (GBDT) and Support Vector Machine (SVM) classifiers. The second step classifies the emotional microblogging into different emotion categories by using the multi-classifier integration approach which combines Multi-label k-Nearest Neighbor (MLKNN+), Support Vector Machine (SVM) and Naive Bayes (NB) classifiers. The evaluations on the NLP&CC013 microblogging analysis dataset shows that our proposed approach obtained promising performance. It achieves the highest performance on this dataset, based on our knowledge.
Stimuli-responsive polymers and their applications

Responsive polymer-based materials are capable of altering their chemical and/or physical properties upon exposure to external stimuli. These materials have been intensively studied over the years for a diverse range of applications, e.g., for on-demand drug delivery, tissue generation/repair, biosensing, smart coatings, and artificial muscles. Here, we review recent advances in the areas of sensing and biosensing, drug delivery, and actuators. Specific examples are given in each of these areas, and we highlight our group's work on poly(N-isopropylacrylamide)-based microgels and assemblies.
A leader-based cooperation-prompt protocol for the prisoner's dilemma game in multi-agent systems

In this paper, we propose a new protocol that prompts the cooperation rate of a multi-agent system, the members of which compete based on the prisoner's dilemma game. The main idea of this algorithm is to introduce a smart leader to the system, which can be viewed as a third player in the original bilateral game. The leader is motivated by its own benefit, but as a result of its attempt to maximum the expectational personal benefit, the system's cooperation rate is actually improved. This phenomenon is common in reality in some complicated situations. We studied the condition in which the leader maximums its expectational payoff, and proved the optimal condition's existence and uniqueness. Furthermore, we adopted a feed-back control method to ensure that the system globally converges to and remains stable in the optimal point. The simulation results illustrate the practicability and efficiency of our algorithm in reality system.
Land-cover impacts on streamflow: a change-detection modelling approach that incorporates parameter uncertainty

Abstract The effect of land-use or land-cover change on stream runoff dynamics is not fully understood. In many parts of the world, forest management is the major land-cover change agent. While the paired catchment approach has been the primary methodology used to quantify such effects, it is only possible for small headwater catchments where there is uniformity in precipitation inputs and catchment characteristics between the treatment and control catchments. This paper presents a model-based change-detection approach that includes model and parameter uncertainty as an alternative to the traditional paired-catchment method for larger catchments. We use the HBV model and data from the HJ Andrews Experimental Forest in Oregon, USA, to develop and test the approach on two small (<1 km2) headwater catchments (a 100% clear-cut and a control) and then apply the technique to the larger 62 km2 Lookout catchment. Three different approaches are used to detect changes in stream peak flows using: (a) calibration for a period before (or after) change and simulation of runoff that would have been observed without land-cover changes (reconstruction of runoff series); (b) comparison of calibrated parameter values for periods before and after a land-cover change; and (c) comparison of runoff predicted with parameter sets calibrated for periods before and after a land-cover change. Our proof-of-concept change detection modelling showed that peak flows increased in the clear-cut headwater catchment, relative to the headwater control catchment, and several parameter values in the model changed after the clear-cutting. Some minor changes were also detected in the control, illustrating the problem of false detections. For the larger Lookout catchment, moderately increased peak flows were detected. Monte Carlo techniques used to quantify parameter uncertainty and compute confidence intervals in model results and parameter ranges showed rather wide distributions of model simulations. While this makes change detection more difficult, it also demonstrated the need to explicitly consider parameter uncertainty in the modelling approach to obtain reliable results. Citation Seibert, J. & McDonnell, J. J. (2010) Land-cover impacts on streamflow: a change-detection modelling approach that incorporates parameter uncertainty. Hydrol. Sci. J. 55(3), 316–332.
LOS2, a genetic locus required for cold‐responsive gene transcription encodes a bi‐functional enolase

The Arabidopsis mutation, los2, impairs cold‐responsive gene transcription, acquired freezing tolerance and plant resistance to chilling under certain conditions. LOS2 was isolated through positional cloning and shown to encode an enolase in the glycolytic pathway. In animal cells, enolase has also been known to function as a transcription factor that represses the expression of c‐myc by binding to the c‐myc gene promoter. LOS2 fused to green fluorescent protein is targeted to the nucleus as well as to the cytoplasm. LOS2/enolase protein can bind to the cis‐element of the human c‐myc gene promoter and to the gene promoter of STZ/ZAT10, a zinc finger transcriptional repressor from Arabidopsis. STZ/ZAT10 expression is induced rapidly and transiently by cold in the wild type, and this induction is stronger and more sustained in the los2 mutant. Furthermore, the expression of a RD29A‐LUC reporter gene is repressed significantly by STZ/ZAT10 in transient expression assays in Arabidopsis leaves. Our results demonstrate that cold‐responsive gene transcription in plants is controlled by a bi‐functional enolase.
Accelerated Optical Projection Tomography Applied to In Vivo Imaging of Zebrafish

Optical projection tomography (OPT) provides a non-invasive 3-D imaging modality that can be applied to longitudinal studies of live disease models, including in zebrafish. Current limitations include the requirement of a minimum number of angular projections for reconstruction of reasonable OPT images using filtered back projection (FBP), which is typically several hundred, leading to acquisition times of several minutes. It is highly desirable to decrease the number of required angular projections to decrease both the total acquisition time and the light dose to the sample. This is particularly important to enable longitudinal studies, which involve measurements of the same fish at different time points. In this work, we demonstrate that the use of an iterative algorithm to reconstruct sparsely sampled OPT data sets can provide useful 3-D images with 50 or fewer projections, thereby significantly decreasing the minimum acquisition time and light dose while maintaining image quality. A transgenic zebrafish embryo with fluorescent labelling of the vasculature was imaged to acquire densely sampled (800 projections) and under-sampled data sets of transmitted and fluorescence projection images. The under-sampled OPT data sets were reconstructed using an iterative total variation-based image reconstruction algorithm and compared against FBP reconstructions of the densely sampled data sets. To illustrate the potential for quantitative analysis following rapid OPT data acquisition, a Hessian-based method was applied to automatically segment the reconstructed images to select the vasculature network. Results showed that 3-D images of the zebrafish embryo and its vasculature of sufficient visual quality for quantitative analysis can be reconstructed using the iterative algorithm from only 32 projections—achieving up to 28 times improvement in imaging speed and leading to total acquisition times of a few seconds.
Compilation of constraint-based contextual rules for part-of-speech tagging into finite state transducers

With the aim of removing the residuary errors made by pure stochastic disambiguation models, we put forward a hybrid system in which linguist users introduce high level contextual rules to be applied in combination with a tagger based on a Hidden Markov Model. The design of these rules is inspired in the Constraint Grammars formalism. In the present work, we review this formalism in order to propose a more intuitive syntax and semantics for rules, and we develop a strategy to compile the rules under the form of Finite State Transducers, thus guaranteeing an efficient execution framework.
Systèmes de recommandation dans des contextes industriels

Cette these traite des systemes de recommandation automatiques. Les moteurs de recommandation automatique sont des systemes qui permettent, par des techniques de data mining, de recommander automatiquement a des clients, en fonction de leurs consommations passees, des produits susceptibles de les interesser. Ces systemes permettent par exemple d'augmenter les ventes sur des sites web marchands : le site Amazon a une strategie marketing en grande partie basee sur la recommandation automatique. Amazon a popularise l'usage de la recommandation automatique par la celebre fonction de recommandation que nous qualifions d'item-to-items, le fameux : " les personnes qui ont vu/achete cet articles ont aussi vu/achete ces articles. La contribution centrale de cette these est d'analyser les systemes de recommandation automatiques dans le contexte industriel, et notamment des besoins marketing, et de croiser cette analyse avec les travaux academiques.
Crystal structures of pheasant and guinea fowl egg‐white lysozymes

The crystal structures of pheasant and guinea fowl lysozymes have been determined by X‐ray diffraction methods. Guinea fowl lysozyme crystallizes in space group P6122 with cell dimensions a = 89.2 Å and c = 61.7 Å. The structure was refined to a final crystallographic R‐factor of 17.0% for 8,854 observed reflections in the resolution range 6‐1.9 Å. Crystals of pheasant lysozyme are tetragonal, space group P43212, with a = 98.9 Å, c = 69.3 Å and 2 molecules in the asymmetric unit. The final R‐factor is 17.8% to 2.1 Å resolution. The RMS deviation from ideality is 0.010 Å for bond lengths and 2.5° for bond angles in both models. Three amino acid positions beneath the active site are occupied by Thr 40, Ile 55, and Ser 91 in hen, pheasant, and other avian lysozymes, and by Ser 40, Val 55, and Thr 91 in guinea fowl and American quail lysozymes. In spite of their internal location, the structural changes associated with these substitutions are small. The pheasant enzyme has an additional N‐terminal glycine residue, probably resulting from an evolutionary shift in the site of cleavage of prelysozyme. In the 3‐dimensional structure, this amino acid partially fills a cleft on the surface of the molecule, close to the Ca atom of Gly 41 and absent in lysozymes from other species (which have a large side‐chain residue at position 41: Gln, His, Arg, or Lys). The overall structures are similar to those of other C‐type lysozymes, with the largest deviations occurring in surface loops. Comparison of the unliganded and antibody‐bound models of pheasant lysozyme suggests that surface complementarity of contacting surfaces in the antigen‐antibody complex is the result of local, small rearrangements in the epitope. Structural evidence based upon this and other complexes supports the notion that antigenic variation in c‐type lysozymes is primarily the result of amino acid substitutions, not of gross structural changes.
Timing jitter characterization of mode-locked lasers with <1 zs/√Hz resolution using a simple optical heterodyne technique.

Timing jitter characterization of free-running mode-locked lasers with an unprecedented resolution is demonstrated using an optical heterodyne technique. A highly sensitive timing jitter phase-discrimination signal with low-parasitic-amplitude sensitivity is achieved. Analytical and numerical methods are used to analyze the properties of the discrimination signal. For an experimental demonstration, we measure the timing jitter between two loosely synchronized mode-locked Er:Yb:glass lasers with 500-MHz fundamental repetition rates. The timing jitter-detection noise floor for a single mode-locked laser reaches 2.8×10(-13) fs(2)/Hz (∼530 ys/√Hz), and the integrated timing jitter is 16.3 as from 10 kHz to the Nyquist frequency (250 MHz). These results show that this approach can be a simpler alternative to the well-established balanced optical cross-correlation technique.
A survey of networked control systems with delay and packet dropout

Networked control systems (NCSs) are feedback control systems with control loops closed via digital communication channels. This paper reviews the recent results on network-induced delay and packet dropout. The approaches dealing with continuous-time NCSs with delay are reviewed, and the jump system approach is presented to model the variation of delay. The non-uniform distribution characteristic of network-induced delay is taken into full consideration, and the linear estimation-based packet dropout compensation method is reviewed.
The Model based Similarity Metric

This paper addresses the problem of building a compact representation of objects which enables to define a similarity measure. The key idea is to provide a mean to extract and represent the relevant information of an object. By integrating the minimum length description to an informational similarity metric, a new informational measure is proposed based on models. First, we make the strong assumption that for any object x there exists a model Mx such that K(x) = K(x | M x) + K(Mx)
Antelope, une plate-forme de TAL permettant d'extraire les sens du texte : théorie et applications de l'interface syntaxe-sémantique. (Antelope, a NLP platform for extracting meaning from text: theory and applications of the syntax-semantics interface)

Creer rapidement un analyseur semantique dedie a une tâche particuliere n'est pas une tâche aisee. En effet, composants d'analyse et ressources linguistiques sont souvent definis avec des formats incompatibles entre eux, ce qui en rend l'assemblage complexe. Nous souhaitons apporter une reponse operationnelle a ce probleme avec la plate-forme de traitement linguistique Antelope, dont cette these decrit les principes de conception et de realisation. En partie basee sur la Theorie Sens-Texte (TST), Antelope permet une analyse syntaxique et semantique de corpus de volume important ; son objectif est de " rendre calculable " du texte tout-venant : avis de consommateurs, textes encyclopediques, documents RH, articles de presse. Pour cela, Antelope integre (i) plusieurs composants prets a l'emploi, couvrant les principales tâches de TAL, qui interagissent au sein d'un modele de donnees linguistiques unifie ; (ii) un lexique semantique multilingue a large couverture constitue a partir de differentes sources. Un effort d'integration permet d'offrir une plate-forme robuste et homogene ; l'ensemble constitue une interface syntaxe-semantique operationnelle. La these presente la plate-forme et la compare a d'autres projets de reference ; elle souligne les bonnes pratiques a prendre en termes d'architecture logicielle pour qu'un tel ensemble complexe reste maintenable ; elle introduit aussi une demarche semi-supervisee d'acquisition de connaissances a large echelle.
A Note on Updating Forecasts When New Information Arrives Between Two Periods

In this note the author discusses the problem of updating forecasts in a time-discrete forecasting model when information arrives between the current period and the next period. To use the information that arrives between two periods, he assumes that the process between two periods can be approximated by a linear interpolation of the timediscrete forecasting model. Based on this assumption the author drives the optimal updating rule for the forecast of the next period when new information arrives between the current period and the next period. He demonstrates by theoretical arguments and empirical examples that this updating rule is simple, intuitively appealing, defendable and useful.
Multi-document summarization of product reviews

Most of the previous researches on multi-document summarization concentrate on factual text. How to get a summary that cover the most important topics of evaluative text and to extract the main opinion on these topics have not been solved completely yet. This paper considers both sentiment and mixture of topics of a sentence simultaneously and proposes a multi-document opinion summarization approach based on Latent Dirichlet Allocation model and semantic orientation of word. Experiments on product reviews show that this approach performs better.
Cooperative Coevolutionary Genetic Algorithm for Digital IIR Filter Design

A novel algorithm for digital infinite-impulse response (IIR) filter design is proposed in this paper. The suggested algorithm is a kind of cooperative coevolutionary genetic algorithm. It considers the magnitude response and the phase response simultaneously and also tries to find the lowest filter order. The structure and the coefficients of the digital IIR filter are coded separately, and they evolve coordinately as two different species, i.e., the control species and the coefficient species. The nondominated sorting genetic algorithm-II is used for the control species to guide the algorithms toward three objectives simultaneously. The simulated annealing is used for the coefficient species to keep the diversity. These two strategies make the cooperative coevolutionary process work effectively. Comparisons with another genetic algorithm-based digital IIR filter design method by numerical experiments show that the suggested algorithm is effective and robust in digital IIR filter design
Etude des étapes précoces de la mécanoperception chez le peuplier : approches biomécanique et moléculaire

Pour se developper en conditions naturelles, les vegetaux doivent percevoir les sollicitations mecaniques qu'ils subissent et acclimater leur croissance. Au cours de ce travail, nous avons cherche a valider un modele integratif de la mecanoperception, chez le peuplier. Nous avons montre que l'application d'une flexion induit une expression rapide et transitoire de gene PtaZPF2, ainsi qu'une augmentation de la croissance en diametre des tiges pendant plusieurs jours au niveau de la zone flechie. La mise en evidence d'une correlation line��aire entre les sommes de deformations appliquees et ces deux reponses locales a permis de valider le modele " somme des deformations". Nous avons egalement demontre que l'application de frequences de sollicitation faibles induit une acclimatation rapide des plantes et qu'il existe une periode de desensibilisation. Enfin, des peupliers surexprimant PtaZFP2 ont ete produits. Ces derniers presentent une inhibition de croissance longitudinale
Cloud Crawler: a declarative performance evaluation environment for infrastructure‐as‐a‐service clouds

As the number of infrastructure‐as‐a‐service (IaaS) cloud offers in the market increases, selecting an appropriate configuration of cloud resources for a given application becomes a non‐trivial task even for experienced developers. Because cloud resources are relatively cheap, usually charged by the hour, developers could systematically evaluate the performance of their application using different resource types from different cloud providers, thus allowing them to accurately identify the best providers and resource types for their application. However, conducting systematic performance tests in multiple IaaS clouds may require a significant amount of planning and configuration effort from application developers. This paper presents Cloud Crawler, a declarative environment for specifying and conducting application performance tests in IaaS clouds. The environment includes a novel declarative domain‐specific language, Crawl, by means of which cloud users can describe, at a high abstraction level, a large variety of performance evaluation scenarios for a given application, and a scenario execution engine, Crawler, which automatically configures, executes, and collects the results of the scenarios described in Crawl. The paper also reports on how Cloud Crawler has been successfully used to systematically test the performance of two open‐source web applications in public IaaS clouds. Copyright © 2016 John Wiley & Sons, Ltd.
Characteristics of the bipolar pulsed discharge in the water-air-solid particle mixture

Water treatment by bipolar pulsed discharge in the water-air-solid particle three-phase mixture is a newly developed and promising technology. In our present investigation, discharge characteristics of the bipolar pulsed discharge in the water-air-solid particle three-phase mixture have been investigated using a wire-cylinder electrode reactor packed with solid particles. Effect of the solid particles (conducting stainless steel fragments, dielectric glass beads and ceramic spheres) on the discharge characteristics has been studied. Experimental results show that electrical discharge occurs easily in the water-air-solid particle mixture than in water-air mixture for the same applied voltage. In addition, physical and dialectical characteristics of the solid particle significantly affect the applied voltage and the discharge current. A steeper front-edged and low tailing pulsed load voltage can be obtained when the discharge reactor is packed with dielectric spheres. At the same time, electrical discharges proved to be much stronger for the reactor packed with dielectric spheres than conductance material.
The role of knowledge‐intensive service activities (KISA) in basic agro‐food processes innovation: The case of orange packers in Eastern Spain

Summary The relevance of innovation in services has been outlined by the knowledge‐intensive business services (KIBS) concept, which has been empirically and theoretically developed in the context of service innovation. The conceptual and methodology approach of knowledge‐intensive service activities (KISA) links the production of knowledge to innovative activities, and has become a relevant focus for the analysis of innovation within a firm. Though relatively new, it has been given a great deal of attention by practitioners and academics in the last five years. This paper will explore, analyze, and compare the ways in which knowledge‐intensive activities occur in a small cluster of mature and low‐tech industries: orange and lemon selection in Spain. The paper aims to assess the impact of KISA on the firm's innovation and performance, as well as to analyze whether KISA occurrence is correlated with certain characteristics of firms such as size, organizational profile, market focus, and other characteristics. A model correlating these variables will additionally be proposed and validated.