Miracle-dz/UniFAR-FTUs huggingface dataset:
Évaluation cognitive du leader dans une dyade hiérarchique : des comportements non verbaux du suiveur aux comportements de leadership

Les interactions de l’equipe de travail et l’efficacite de celles-ci sont constitutives d’un systeme hierarchique preetabli compose notamment de dyades verticales. Afin d’etudier cette dyade, ce travail doctoral s’interesse aux roles sociaux associes au statut de chacun des protagonistes de la dyade verticale (i.e., leader pour le chef et suiveur pour le subordonne) et considere le leadership.L’influence du suiveur et de ses comportements sur le leader et le leadership est de plus en plus consideree. Cependant, les comportements du suiveur influencant le leader restent inexplores. Ce travail doctoral plurisdisciplinaire (i.e., psychologie et informatique affective) vise donc a mettre en evidence les comportements du suiveur influencant le leader ainsi que les mecamises sous-jacents a cette influence.Pour cela, nous nous sommes interesses aux comportements non verbaux (CNV) du suiveur en tant qu’indices sociaux pouvant influencer le leader et ses comportements. Les principes de la cognition sociale sont appliques dans cette these pour etudier l’evaluation cognitive realisee par le leader, au travers de l’activation des caracteristiques utilisees pour categoriser les suiveurs : les theories implicites du followership (IFTs). L’etude de l’evaluation cognitive du leader se confronte a de nombreuses difficultes, notamment methodologiques. Ainsi, un travail preliminaire essentiel de ce travail doctoral s’est attache a traduire et valider en francais une echelle d’evaluation des IFTs.La premiere etude exploratoire utilise des images d’agents virtuels pour explorer plusieurs CNV pouvant activer les IFTs du leader de maniere explicite. La deuxieme etude propose une analyse de videos d’entrainements d’equipes medicales pre-hospitalieres pour etudier dynamiquement d’autres CNV intervenant dans la perception du followership. En troisieme etude, les CNV observes dans les etudes precedentes ont ete implementes dans un agent virtuel place en interaction avec des leaders medicaux. Une tâche de Go / No Go a permis par la suite d’etudier l’activation implicite des IFTs. Enfin, une derniere etude quantitative transversale a tente d’etudier l’influence de l’evaluation cognitive du suiveur par le leader sur les comportements de leadership.Les resultats de ces etudes suggerent que certaines caracteristiques affichees dans les CNV (i.e., dominance, support apporte au leader) peuvent activer les IFTs du leader. De plus, l’evaluation cognitive semble avoir une influence sur les comportements de leadership choisi.Nous discuterons les resultats obtenus et presenterons les contributions scientifiques et pedagogiques de cette these. Nous ouvrirons notre reflexion au positionnement epistemologique necessaire a l’etude des IFTs, ainsi qu’a l’utilisation des agents virtuels dans l’etude de la categorisation. Le but applicatif de ce travail doctoral est l’implementation de CNV chez des subordonnes virtuels medicaux dans un serious game permettant la formation de leader medicaux.
GLOBAL POWER FUNCTIONS OF GOODNESS OF FIT TESTS

usseldorf It is shown that the global power function of any nonparametric test is flat on balls of alternatives except for alternatives coming from a finite dimensional subspace. The present benchmark is here the upper one-sided (or two-sided) envelope power function. Every choice of a test fixes a priori a finite dimensional region with high power. It turns out that also the level points are far away fromthe corresponding Neym an–Pearson test level points except for a finite number of orthogonal directions of alternatives. For certain submodels the result is independent of the underlying sample size. In the last section the statistical consequences and special goodness of fit tests are discussed. 1. Introduction. Omnibus tests are commonly used if the specific structure of certain nonparametric alternatives is unknown. Among other justifications, it turns out that they typically are consistent against fixed alternatives and √ n-consistent under sequences of local alternatives of sample size n . F or these reasons, people often trust in goodness of fit tests and these are frequently applied to data of finite sample size. On the other hand, every asymptotic approximation should be understood as an approximation of the underlying finite sample case. Thus the statistician likes to distinguish and to compare the power of different competing tests. The present paper offers a concept for the comparison and justification of different tests by their power functions and level points. It is shown that under certain circumstances every test has a preference for a finite dimensional space of alternatives. Apart fromthis space, the power function is almost flat on balls of alternatives. There exists no test which pays equal attention to an infinite number of orthogonal alternatives. The results do not only hold for asymptotic models but they also hold for concrete alternatives on the real line at finite sample size and their level points uniformly for the sample size. The results are not surprising. Every statistician knows that it is impossible to separate an infinite sequence of different parameters simultaneously if only a finite number of observations is available. The conclusions of the results are two-fold. 1. The statistician should analyze the goodness of fit tests of his computer package in order to get some knowledge and an impression about their preferences.
Negotiating the tensions: A critical study of international schools’ mission statements

ABSTRACT This paper examines how international schools negotiate the competing demands set forth by the discourses of ideological ‘internationalism’ and ‘market-driven’ multinationalism. This was accomplished through a critical discourse analysis of the mission statements of 46 Association of American Schools in South America (AASSA) member international schools. By identifying the interdiscursive and intertextual elements of the mission statements, we found that the potential tensions emerging from these competing discourses are often obfuscated, thus creating the semblance of congruency. This paper argues that by not acknowledging and disentangling these competing discourses, international schools may be subject to potentially detrimental consequences, which include marginalising their social and political possibilities and perpetuating neoliberal hegemony.
Structured Modelling with Hyperdag~P~Systems: Part B

In an earlier paper, we presented an extension to the families of P systems, called hyperdag P systems (hP systems), by proposing a new underlying topological structure based on the hierarchical dag structure (instead of trees or digraphs). In this paper, we develop building-block membrane algorithms for discovery of the global topological structure from the local cell point of view. In doing so, we propose more convenient operational modes and transfer modes, that depend only on each of the individual cell rules. Additionally, we propose two uniform solutions to an open problem: the Firing Squad Synchronization Problem (FSSP), for hyperdag and symmetric neural P systems, with anonymous cells. Our solutions take ec + 5 and 6ec + 7 steps, respectively, where ec is the eccentricity of the commander cell of the digraph underlying these P systems. The first and fast solution is based on a novel proposal, which dynamically extends P systems with mobile channels. The second solution is solely based on classical rules and static channels. In contrast to the previous solutions, which work for tree-based P systems, our solutions synchronize any subset of the underlying digraph, and do not require membrane polarizations or conditional rules, but require states, as typically used in hyperdag and neural P systems. Finally, by extending our initial work on the visualization of hP system membranes with interconnections based on dag structures without transitive arcs, we propose several ways to represent structural relationships, that may include transitive arcs, by simple-closed planar regions, which are folded (and possibly twisted) in three dimensional space.
Single and Dual Band-Notch UWB Antenna Using SRR / CSRR Resonators

In order for the interference of electromagnetic waves to be reduced in narrow band communications (WLAN, WiMAX and satellite communication), this paper presents a novel compact, low-cost, low-profile microstrip-fed line equipped with a single and dual band-notched ultra-wideband (UWB) patch antenna. A notched band is achieved at approximately 5.15-5.35 GHz and a 5.725-5.85 GHz that corresponds to WLAN IEEE802.11. To achieve this band notch band, an array of a four-element rectangular split ring resonator (SRR) is inserted into the neighbouring feed line. Moreover, in order to attain a WLAN band rejection and the 7.9-8.4 GHz Xband frequencies for satellite communication, three different sized complementary rectangular SRRs are etched in the ground plane,. The results led to the conclusion that the proposed antenna can be deemed a suitable candidate for applications of UWB communication having the property of single and double band notches.
Incremental kinesthetic teaching of end-effector and null-space motion primitives

In this paper, we propose a unified approach to teach and iteratively refine both end-effector and null-space movements. Hence, the robot can be taught to make use of all its degrees-of-freedom (DoF) to adapt its behavior to new dynamic scenarios. In order to achieve this goal we propose an incremental learning approach in a framework of kinesthetic teaching based on a multi-priority kinematic controller, the so-called Task Transition Control (TTC). The learning algorithm is responsible for skill acquisition and their incremental update. On the real-time level, end-effector and null-space motion primitives, as well as the physical guidance are considered as prioritized tasks. The transitions among these tasks and their insertion and removal are managed by the TTC according to the specified transition parameters. This allows to introduce a customized task which guarantees a proper and smooth response to the applied external forces during the kinesthetic teaching. Experimental results on a 7 DoF KUKA lightweight manipulator show the effectiveness of the proposed approach.
Design-Based Research: Putting a Stake in the Ground

The emerging field of the learning sciences is one that is interdisciplinary, drawing on multiple theoretical perspectives and research paradigms so as to build understandings of the nature and conditions of learning, cognition, and development. Learning sciences researchers investigate cognition in context, at times emphasizing one more than the other but with the broad goal of developing evidence-based claims derived from both laboratory-based and naturalistic investigations that result in knowledge about how people learn. This work can involve the development of technological tools, curriculum, and especially theory that can be used to understand and support learning. A fundamental assumption of many learning scientists is that cognition is not a thing located within the individual thinker but is a process that is distributed across the knower, the environment in which knowing occurs, and the activity in which the learner participates. In other words, learning, cognition, knowing, and context are irreducibly co-constituted and cannot be treated as isolated entities or processes. If one believes that context matters in terms of learning and cognition, research paradigms that simply examine these processes as isolated variables within laboratory or other impoverished contexts of participation will necessarily lead to an incomplete understanding of their relevance in more naturalistic settings (Brown, 1992). 1 Alternatively, simply observing learning and cognition as they naturally Correspondence and requests for reprints should be sent to Sasha A. Barab, School of Education,
Resource and Revenue Sharing with Coalition Formation of Cloud Providers: Game Theoretic Approach

In cloud computing, multiple cloud providers can cooperate to establish a resource pool to support internal users and to offer services to public cloud users. In this paper, we study the cooperative behavior of multiple cloud providers. The hierarchical cooperative game model is presented. First, given a group (i.e., coalition) of cloud providers, the resource and revenue sharing of a resource pool is presented. To obtain the solution, we develop the stochastic linear programming game model which takes the uncertainty of internal users from each provider into account. We show that the solution of the stochastic linear programming game is the core of cooperation. Second, we analyze the stability of the coalition formation among cloud providers based on coalitional game. The dynamic model of coalition formation is used to obtain stable coalitional structures. The resource and revenue sharing and coalition formation of cloud providers are intertwined in which the proposed hierarchical cooperative game model can be used to obtain the solution. An extensive performance evaluation is performed to investigate the decision making of cloud providers when cooperation can lead to the higher profit.
On-line Shared Platform Evaluation Framework for Advanced Persistent Threats

Advanced persistent threats (APTs) are constant attacks of specific targets by hackers using intelligent methods. All current internal infrastructures are constantly subject to APT attacks created by external and unknown malware. Therefore, information security officers require a framework that can assess whether information security systems are capable of detecting and blocking APT attacks. Furthermore, an on-line evaluation of information security systems is required to cope with various malicious code attacks. A regular evaluation of the information security system is thus essential. In this paper, we propose a dynamic updated evaluation framework to improve the detection rate of internal information systems for malware that is unknown to most (over 60 %) existing static information security system evaluation methodologies using non-updated unknown malware.
The contribution of the fixational eye movements to the variability of the measured ocular aberration

The purpose of this work is to analyze the contribution of eye movements to the variability of the Zernike coefficients as determined with a Hartmann–Shack aberrometer. In order to isolate this effect we considered static aberrations tied to the eye pupil. We used several eye movements of different magnitude, both synthetic and corresponding to actual series recorded in our laboratory with different subjects. Our results show the relevance of the modal coupling induced by the estimation process and the benefit of correcting eye movements in order to get a better estimate of the ocular aberrations. They also show that eye movements during aberrometric measurements are an important source of apparent wavefront variability.
Translation Ranger: Operating System Support for Contiguity-Aware TLBs

Virtual memory (VM) eases programming effort but can suffer from high address translation overheads. Architects have traditionally coped by increasing Translation Lookaside Buffer (TLB) capacity; this approach, however, requires considerable hardware resources. One promising alternative is to rely on software-generated translation contiguity to compress page translation encodings within the TLB. To enable this, operating systems (OSes) have to assign spatially-adjacent groups of physical frames to contiguous groups of virtual pages, as doing so allows compression or coalescing of these contiguous translations in hardware. Unfortunately, modern OSes do not currently guarantee translation contiguity in many real-world scenarios; as systems remain online for long periods of time, their memory can and does become fragmented. We propose Translation Ranger, an OS service that recovers lost translation contiguity even where previous contiguity- generation proposals struggle with memory fragmentation. Trans-lation Ranger increases contiguity by actively coalescing scattered physical frames into contiguous regions and can be leveraged by any contiguity-aware TLB without requiring changes to applications. We implement and evaluate Translation Ranger in Linux on real hardware and find that it generates contiguous memory regions 40x larger than the Linux default configuration, permitting TLB coverage of 120GB memory with typically no more than 128 contiguous translation regions. This is achieved with less than 2% run time overhead, a number that is outweighed by the TLB coverage improvements that Translation Ranger provides.
Methodology for synchronizing Discrete Event Simulation and System Dynamics models

Integrating Discrete Event Simulation (DES) and System Dynamics (SD) simulation methods require synchronization of their simulation clocks to ensure that actions are executed in an orderly manner. This paper presents a synchronization methodology for integrating DES and SD models. A hybrid simulation-based method consisting of SD components at the higher decision level and DES components at the lower decision level is expected to benefit from the developed method. The proposed methodology integrates DES and SD models on a single platform, which enhances the simulation of construction operations. It consists of three elements: (1) advancing mechanism, (2) DES advancing algorithm, and (3) messages sequence mechanism. The paper provides a description of the three elements of the synchronization method. An illustrative preliminary experiment that utilizes DES and SD engines is presented to demonstrate the use of the developed synchronization method and to illustrate its capabilities.
Textual Voices in Corporate Reporting: A Cross-Cultural Analysis of Chinese, Italian, and American CSR Reports

This article investigates direct quotations in a corpus of corporate social responsibility (CSR) reports in Italian, Chinese, and English. The corpus is composed of 60 CSR reports published by Italian, Chinese, and American companies in the banking and energy sector. The study aims at exploring what types of textual voices are involved in the discourse of CSR reporting and how different sources of voices are represented, using the framework of social actor representation proposed by Van Leeuwen. The results show that the voices presented in direct quotations are often “orchestrated” by companies into “symphony” rather than “polyphony. ” Most of the sources of direct quotations are represented as individuals with specified names. The comparative analysis shows that companies from different cultural backgrounds present different preferences in selecting and representing the various sources. The Italian and American CSR reports present more voices from managers, while the Chinese CSR reports show a clearer preference for voices from employees and clients.
Extracting Time-evolving Latent Skills from Examination Time Series

Examination results are used to judge whether an examinee possesses the desired latent skills. In order to grasp the skills, it is important to find which skills a question item contains. The relationship between items and skills may be represented by what we call a Q-matrix. Recent studies have been attempting to extract a Q-matrix with non-negative matrix factorization (NMF) from a set of examinees’ test scores. However, they did not consider the time-evloving nature of latent skills. In order to comprehend the learning effects in the educational process, it is significant to study how the distribution of examinees’ latent skills changes over time. In this paper, we propose novel methods for extracting both a Q-matrix and time-evolving latent skills from examination time series, simultaneously.
Application of Genetic Neural Network for Predicting the Evolution of Shoal in River

Studying on river shoal evolution is a fundamental work in the science of water conservancy, water conservancy projects and waterways planning, designing, engineering feasiblility. First of all, the neural network model for predicting the evolution of shoal in a river is established, through training the neural network to determine the number of hidden layer’s neural, thus, a more ration neural network structure is detemaned; In the second step, by using genetic algorithm a fittest initial weight value is selectled from the solution group of initial weight values to avoid the blindness in the selection of initial weight value; if the traditional BP algorithm is used in the training, there are still some hidden dangers. Finally, conjugate gradient algorithm is used to improve performance of network. Simulation results show that the method is feasible and effective.
Interpreting Noun Compounds using Bootstrapping and Sense Collocation

This paper describes a bootstrapping method for automatically tagging noun compounds with their corresponding semantic relations. Our work takes advantage of the collocation of senses of the noun compound constituents and also word similarity. We exploit this to generate a set of noun compounds from a set of previously tagged noun compounds by replacing one constituent of each noun compound with similar words that are derived from synonyms, hypernyms and sister words. We started with 200 “seed” noun compounds and generated sets of derived noun compounds with accuracy ranging between 64.72% and 70.78%. We also evaluated the utility of the automatically derived noun compounds when used in combination with existing noun compound interpretation methods.
PacBio amplicon sequencing for metabarcoding of mixed DNA samples from lichen herbarium specimens

Abstract The detection and identification of species of fungi in the environment using molecular methods heavily depends on reliable reference sequence databases. However, these databases are largely incomplete in terms of taxon coverage, and a significant effort is required from herbaria and living fungal collections for the mass-barcoding of well-identified and well-curated fungal specimens or strains. Here, a PacBio amplicon sequencing approach is applied to recent lichen herbarium specimens for the sequencing of the fungal ITS barcode, allowing a higher throughput sample processing than Sanger sequencing, which often required the use of cloning. Out of 96 multiplexed samples, a full-length ITS sequence of the target lichenised fungal species was recovered for 85 specimens. In addition, sequences obtained for co-amplified fungi gave an interesting insight into the diversity of endolichenic fungi. Challenges encountered at both the laboratory and bioinformatic stages are discussed, and cost and quality are compared with Sanger sequencing. With increasing data output and reducing sequencing cost, PacBio amplicon sequencing is seen as a promising approach for the generation of reference sequences for lichenised fungi as well as the characterisation of lichen-associated fungal communities.
T2R1-type parallel manipulators with decoupled and bifurcated planar-spatial motion of the moving platform

This paper presents a new family of T2R1-type parallel manipulators with decoupled and bifurcated planars-patial motion of the moving platform. The moving platform has two independent translations and one rotation driven by three actuators mounted on the fixed base. The bifurcation between planar and spatial motion occurs in a constraint singularity in which the connectivity between the moving and the fixed platforms increases instantaneously with no change in limb connectivity. The Jacobian matrix of solutions presented in this paper is a 3 × 3 triangular matrix in the entire workspace of each branch with planar or spatial motion of the moving platform. This paper presents for the first time a family of parallel manipulators with decoupled and bifurcated planar-spatial motion of the moving platform.