Miracle-dz/UniFAR-FTUs huggingface dataset:
Le transfert de la ressource réseau lors d'un processus de reprise

Le transfert de la ressource reseau est-il possible dans le cadre d’une reprise d’entreprise par une personne physique ? Et si oui, comment ? Apres avoir presente les concepts de reseau et de reseautage et montre que ceux-ci peuvent etre apprehendes respectivement comme une ressource et une competence de l’organisation et/ou de son dirigeant dans le cadre d’une petite entreprise, nous cherchons a montrer la difficulte de transferer ces actifs dans un processus repreneurial. A partir de quatre cas exploratoires et d’une etude de cas en profondeur, nous proposons d’associer au processus repreneurial une prise en compte specifique de la ressource reseau en quatre etapes (perception, evaluation, utilisation, valorisation). La prise en main effective de la ressource reseau geree par le cedant pouvant donner lieu a trois types de valorisation de la ressource : l’appropriation (le repreneur absorbe en l’etat la ressource reseau et a la capacite de la mobiliser) ; l’adjonction (c’est-a-dire que le repreneur associe la ressource reseau reprise a son propre reseau) ; la substitution (le repreneur reconstruit un nouveau reseau : la ressource reseau prealable n’est pas transferee soit parce qu’elle n’a pas de valeur, soit parce que la competence associee n’est pas transferee).
Efficient small data access for machine-type communications in LTE

In this paper, we address the emerging concept of Machine-Type Communications (MTC), where unattended wireless devices send their data over the Long Term Evolution (LTE) cellular network. In particular, we emphasize that future MTC deployments are expected to feature a very large number of devices, whereas the data from a particular device may be infrequent and small. Currently, LTE is not optimized for such traffic and its data transmission schemes are not MTC-specific. To improve the efficiency of small data access, we propose a novel contention-based LTE transmission (COBALT) mechanism and evaluate its performance with both analysis and protocol-level simulations. When compared against existing alternatives, our data access scheme is demonstrated to improve network resource consumption, device energy efficiency, and mean data access delay. We conclude that COBALT has the potential for supporting massive MTC deployments based on the future releases of the LTE technology.
Mechanical signals regulating extracellular matrix gene expression in fibroblasts

Mechanical forces are essential for connective tissue homeostasis. The extracellular matrix (ECM) plays a key role in the transmission of forces generated by the organism (e.g. muscle contraction) and externally applied (e.g. gravity). The expression of specific ECM proteins such as collagens and tenascin‐C, as well as of matrix metalloproteinases, involved in their turnover, is influenced by mechanical stimuli. The precise mechanisms by which mechanical strains are translated into chemical signals and lead to differential gene expression are however not fully understood. Cell–matrix adhesion sites are good candidates for hosting a “mechanosensory switch,” as they transmit forces from the ECM to the cytoskeleton and vice versa by physically linking the cytoskeleton to the ECM. Integrins, transmembrane proteins located to these adhesion sites, have been shown to trigger a set of internal signaling cascades after mechanical stimulation. We have shown that the expression level of tenascin‐C directly correlates with externally applied mechanical stress, as well as with RhoA/RhoA‐dependent kinase‐mediated cytoskeletal tension. Presumably other genes are regulated in a similar manner. The changes in ECM composition and mechanical properties derived from mechanical stress are relevant in medical intervention after ligament and tendon injury.
Examination of leadership practices of principals identified as servant leaders

The purpose of this study was to examine the leadership practices of principals identified as servant leaders. The conceptual framework used to access the leadership behaviours was the leadership practices advocated by Kouzes and Posner. Statistical analysis included a multivariate test to determine if the demographic variables were significantly related to the overall self‐assessed rating and a univariate analysis of variance (ANOVA) to determine which practices the servant leaders were utilising. The research findings revealed that no demographic variable was significantly related to the overall self‐assessment of servant leadership rating. The findings also revealed that public school principals identified as servant leaders were rated significantly higher by their teachers in the five leadership areas highlighted by the Leadership Practices Inventory. The implications for leadership preparatory programmes are significant.
The essential elements of intelligent Manufacturing System Architecture

Currently, the fusion trend of information and communication technology as well as operation technology is reshaping the manufacturing mode all over the world. In China, intelligent manufacturing is proposed as one of the five most important projects of China Manufacturing 2025 to tackle the challenges of such fusion. In order to deliver common understanding of intelligent manufacturing in China, an Intelligent Manufacturing System Architecture (IMSA) is published on December 30th, 2015, composed by three dimensions, namely, lifecycle, system hierarchy, and intelligent functions. In particular, lifecycle refers to the chain integration consisting of a series of mutually connected value creation activities such as design, production, logistics, sales and service. System hierarchy is composed of equipment level, control level, workshop level, enterprise level and cooperation level from the lower to the upper. Cooperation represents the cooperated activities through the value chain. While intelligent functions includes resources elements, system integration, interconnection, information fusion and new business pattern. In this paper, the authors illustrate the essential elements of IMSA and present several use cases covering both process and discrete manufacturing.
Dual Purpose Hashing

Recent years have seen more and more demand for a unified framework to address multiple realistic image retrieval tasks concerning both category and attributes. Considering the scale of modern datasets, hashing is favorable for its low complexity. However, most existing hashing methods are designed to preserve one single kind of similarity, thus improper for dealing with the different tasks simultaneously. To overcome this limitation, we propose a new hashing method, named Dual Purpose Hashing (DPH), which jointly preserves the category and attribute similarities by exploiting the Convolutional Neural Network (CNN) models to hierarchically capture the correlations between category and attributes. Since images with both category and attribute labels are scarce, our method is designed to take the abundant partially labelled images on the Internet as training inputs. With such a framework, the binary codes of new-coming images can be readily obtained by quantizing the network outputs of a binary-like layer, and the attributes can be recovered from the codes easily. Experiments on two large-scale datasets show that our dual purpose hash codes can achieve comparable or even better performance than those state-of-the-art methods specifically designed for each individual retrieval task, while being more compact than the compared methods.
Investigation of Tissue-Specific Expression and Functions of MLF1-IP during Development and in the Immune System

Myeloid leukemia factor 1-interacting protein (MLF1-IP) has been found to exert functions in mitosis, although studies have been conducted only in cell lines up to now. To understand its roles during ontogeny and immunity, we analyzed its mRNA expression pattern by in situ hybridization and generated MLF1-IP gene knockout (KO) mice. MLF1-IP was expressed at elevated levels in most rudimentary tissues during the mid-gestation stage, between embryonic day 9.5 (e9.5) and e15.5. It declined afterwards in these tissues, but was very high in the testes and ovaries in adulthood. At post-natal day 10 (p10), the retina and cerebellum still expressed moderate MLF1-IP levels, although these tissues do not contain fast-proliferating cells at this stage. MLF1-IP expression in lymphoid organs, such as the thymus, lymph nodes, spleen and bone marrow, was high between e15.5 and p10, and decreased in adulthood. MLF1-IP KO embryos failed to develop beyond e6.5. On the other hand, MLF1-IP+/− mice were alive and fertile, with no obvious anomalies. Lymphoid organ size, weight, cellularity and cell sub-populations in MLF1-IP+/− mice were in the normal range. The functions of MLF1-IP+/− T cells and naïve CD4 cells, in terms of TCR-stimulated proliferation and Th1, Th17 and Treg cell differentiation in vitro, were comparable to those of wild type T cells. Our study demonstrates that MLF1-IP performs unique functions during mouse embryonic development, particularly around e6.5, when there was degeneration of epiblasts. However, the cells could proliferate dozens of rounds without MLF1-IP. MLF1-IP expression at about 50% of its normal level is sufficient to sustain mice life and the development of their immune system without apparent abnormalities. Our results also raise an intriguing question that MLF1-IP might have additional functions unrelated to cell proliferation.
Application-driven design of aerial communication networks

Networks of micro aerial vehicles (MAVs) equipped with various sensors are increasingly used for civil applications, such as monitoring, surveillance, and disaster management. In this article, we discuss the communication requirements raised by applications in MAV networks. We propose a novel system representation that can be used to specify different application demands. To this end, we extract key functionalities expected in an MAV network. We map these functionalities into building blocks to characterize the expected communication needs. Based on insights from our own and related real-world experiments, we discuss the capabilities of existing communications technologies and their limitations to implement the proposed building blocks. Our findings indicate that while certain requirements of MAV applications are met with available technologies, further research and development is needed to address the scalability, heterogeneity, safety, quality of service, and security aspects of multi- MAV systems.
The Hope Process and Social Inclusion

The psychology of individual hope has been well articulated through the work of Seligman and Snyder, but scholars have done little to extend this model to under-stand how individuals engage in collective hope. This article develops a model of the collective hope process that emphasizes the importance of principles of social inclusion, open contestation of goals, and transparent pathways to give certainty to the belief that the public is important to the process, even if the same public is uncertain and divided about the outcomes. The study is based on a survey of 2,040 Australians who shared their hopes, fears, and actions in relation to the Australian taxation system in 2000.
Segmentation and denoising via an adaptive threshold Mumford-Shah-like functional

This paper introduces an adaptive threshold algorithm based on variational methods which generalizes the Mumford-Shah and Chan-Vese functional. It assumes a piecewise smooth model of the image and a closed contour, realized as the zero level set of a function. This functional is built upon an adaptive threshold surface coupled with the smoothed image. The algorithm uses the image boundaries found during the process of calculating the adaptive threshold surface to also smooth the image while preserving object boundaries, thus also improving the thresholding result. The resulting adaptive threshold surface provides a good approximation of the illumination function and thus can also be used to flatten the image. This method provides good smoothing results even in cases where the image can't be segmented using adaptive thresholding techniques.
AXOR12, a Novel Human G Protein-coupled Receptor, Activated by the Peptide KiSS-1*

A novel human G protein-coupled receptor named AXOR12, exhibiting 81% homology to the rat orphan receptor GPR54, was cloned from a human brain cDNA library. Heterologous expression of AXOR12 in mammalian cells permitted the identification of three surrogate agonist peptides, all with a common C-terminal amidated motif. High potency agonism, indicative of a cognate ligand, was evident from peptides derived from the gene KiSS-1, the expression of which prevents metastasis in melanoma cells. Quantitative reverse transcriptase-polymerase chain reaction was used to study the expression of AXOR12 and KiSS-1 in a variety of tissues. The highest levels of expression of AXOR12 mRNA were observed in brain, pituitary gland, and placenta. The highest levels ofKiSS-1 gene expression were observed in placenta and brain. A polyclonal antibody raised to the C terminus of AXOR12 was generated and used to show localization of the receptor to neurons in the cerebellum, cerebral cortex, and brainstem. The biological significance of these expression patterns and the nature of the putative cognate ligand for AXOR12 are discussed.
An Emerging Experience Factory to Support High-Quality Applications Based on Software Components and Services (Invited Paper)

Software components and services (SCS) are playing an increasingly important role in software engineering, particularly as building blocks of systems that demand high quality and dependability. A major impediment to advances in developing such systems is the difficulty of providing objective evaluations and conducting rigorous experiments to determine the efficacy of selected SCS and the resulting systems. This paper presents a framework that facilitates such experimentation to measure SCS quality in the target usage environment, to provide unbiased quality assessment, and to support effective usage of SCS in high quality applications. We are building a comprehensive collection of 1) usage scenarios in a set of target operational profiles and 2) a flexible defect classification and analysis framework and related quality analyses. Our work will form the first step of an operational experience factory for SCS. Resulting repositories and supporting facilities from applying our approach to web-based applications are included to demonstrate its viability.
IL-35 improves Treg-mediated immune suppression in atherosclerotic mice

Interleukin (IL)-35 is an anti-inflammatory cytokine that may have a protective role in atherosclerosis (AS). However, the exact role of IL-35 in the disease, and the etiology of AS, remain incompletely understood. The present study aimed to investigate whether exogenous IL-35 was able to attenuate the formation of atherosclerotic lesions in apoE−/− mice, and analyze alterations in the expression levels of forkhead box protein 3 (Foxp3) in peripheral blood and the lesions during the progression of AS. ApoE−/− mice were randomly divided into two groups that received either a basal diet (negative control group) or a high-fat diet (HFD) for 4 weeks. The HFD group was further subdivided into groups that received IL-35, atorvastatin or no treatment for 12 weeks. Diagnostic enzyme assay kits were applied for the detection of plasma lipids, and hematoxylin and eosin staining was used to analyze the severity of atherosclerotic lesions in apoE−/− mice. Immunohistochemistry and flow cytometry were performed to analyze the expression of Foxp3 in the plasma and atherosclerotic plaques. As compared with the negative control group, the plasma lipids were significantly increased, and the lesions were obviously formed, in the HFD groups. Furthermore, the area of the lesion was reduced in IL-35- and atorvastatin-treated groups, as compared with the AS control group. In addition, Foxp3 expression was upregulated in the plasma and lesions of the IL-35- and atorvastatin-treated groups, as compared with the AS control group. The present study demonstrated that IL-35 improved Treg-mediated immune suppression in atherosclerotic mice, thus suggesting that IL-35 may be a novel therapeutic target for AS.
A Model-Based Approach to Trial-By-Trial P300 Amplitude Fluctuations

It has long been recognized that the amplitude of the P300 component of event-related brain potentials is sensitive to the degree to which eliciting stimuli are surprising to the observers (Donchin, 1981). While Squires et al. (1976) showed and modeled dependencies of P300 amplitudes from observed stimuli on various time scales, Mars et al. (2008) proposed a computational model keeping track of stimulus probabilities on a long-term time scale. We suggest here a computational model which integrates prior information with short-term, long-term, and alternation-based experiential influences on P300 amplitude fluctuations. To evaluate the new model, we measured trial-by-trial P300 amplitude fluctuations in a simple two-choice response time task, and tested the computational models of trial-by-trial P300 amplitudes using Bayesian model evaluation. The results reveal that the new digital filtering (DIF) model provides a superior account of the trial-by-trial P300 amplitudes when compared to both Squires et al.’s (1976) model, and Mars et al.’s (2008) model. We show that the P300-generating system can be described as two parallel first-order infinite impulse response (IIR) low-pass filters and an additional fourth-order finite impulse response (FIR) high-pass filter. Implications of the acquired data are discussed with regard to the neurobiological distinction between short-term, long-term, and working memory as well as from the point of view of predictive coding models and Bayesian learning theories of cortical function.
A deterministic plus noise model of excitation signal using principal component analysis for parametric speech synthesis

This paper proposes a new approach of modeling the excitation signal as deterministic and noise components. Initially, a study on characteristics of excitation or residual signal around glottal closure instant (GCI) is performed using principal component analysis (PCA). Based on the study, the segment of residual signal around GCI is considered as the deterministic component and the remaining part of the residual signal is considered as the noise component. The deterministic component is parameterized using PCA coefficients, and the noise component can be represented in terms of spectral and amplitude envelopes. The proposed excitation modeling approach is incorporated in the HMM-based speech synthesis system. Subjective evaluation results show a significant improvement in the quality of speech synthesized by the proposed method, compared to three existing methods.
Spatially Adaptive Regularization Image Restoration Using a Modified Hopfield Network

In this paper we present a technique for localized image regularization using a modified Hopfield neural network (MHNN). The algorithm forms a segmented map of the image and classifies it into several clusters, or regions, and assigns each region a regularization parameter according to its local statistics and the prior knowledge about the image obtained by a Bayesian minimum risk (BMR) restoration method. The image segmentation is performed over the BMR restored image. First, the user selects arbitrarily at least one region, and makes a subjective decision to choose the best estimate from among a set of restored images with different regularization parameter applied to the user-selected region. Then, using this decision the algorithm sets up a perception-based selection of the different regularization parameters for restoring in an adaptive fashion the whole image employing the MHNN computations.
On the finite temperature formalism in integrable quantum field theories

Two different theoretical formulations of the finite temperature effects have been recently proposed for integrable field theories. In order to decide which of them is the correct one, we perform for a particular model an explicit check of their predictions for the one-point function of the trace of the stress– energy tensor, a quantity which can be independently determined by the thermodynamical Bethe ansatz.
L1–L2 convergence in clausal packaging in Japanese and English*

This study investigates L1–L2 convergence among bilinguals at an intermediate (CEFR-B2) level of L2 proficiency, focusing on the clausal packaging of Manner and Path of motion. Previous research has shown cross-linguistic differences between English and Japanese in this domain (Allen et al., 2003; Kita & Özyürek, 2003, though note Brown & Gullberg, 2012). We compared descriptions of motion from monolingual English and Japanese speakers to L1 and L2 descriptions from Japanese users of English as a second (ESL) and foreign (EFL) language. Results showed no significant difference between the monolinguals, who predominately used single-clause constructions packaging Manner and Path. However, bilinguals, both ESL and EFL speakers, used significantly more multi-clause constructions in both their L1 and L2. Following Pavlenko (2011a), findings are interpreted as evidence for L1–L2 convergence. We discuss potential bi-directional cross-linguistic influences underpinning the L1–L2 convergence and implications for the restructuring of bilingual systems.
Staging bone marrow in diffuse large B‐cell lymphoma: the role of ancillary investigations

&NA; Diffuse large B‐cell lymphoma (DLBCL) is an aggressive non‐Hodgkin's lymphoma (NHL) that requires treatment at initial diagnosis. Treatment decisions may be guided by staging investigations, which include assessment of bone marrow (BM). Traditionally this assessment has included light microscopic examination of the bone marrow aspirate and trephine biopsy. Ancillary testing—including immunophenotyping using flow cytometry on BM aspirates, immunohistochemistry (IHC) on BM trephines and molecular studies using immunoglobulin heavy (IgH) or light (IgL) chain gene rearrangements—are performed as required to aid histological diagnosis. This review examines the evidence for the routine use of ancillary tests in the initial staging of DLBCL, including the limitations, potential pitfalls and possible clinical implications of their use in this setting.
Online sexuality education pedagogy: translating five in-person teaching methods to online learning environments

As higher education expands online course offerings, it is essential that sexuality educators strive to translate success from in-person courses into online pedagogy. While many educators remain anxious about, or sceptical of, the benefits of online sexuality education, the popularity of online courses demands engagement if educators are not to miss out on the opportunity to educate growing numbers and different types of students. Building on the authors' previous work addressing foundational best practices for online sexuality education at college and university level, this paper focuses specifically on translating successes from in-person classrooms to the online learning environment. Through consideration of core learning objectives and commonly available learning technologies, it identifies five popular in-person teaching methods (brainstorming, forced choice, demonstration, films and videos, and role play) and explains how these can be successfully translated into online learning environments. Each of the five areas includes a rationale for use, considerations and strategies for successful implementation, and a specific example of translating a traditional sexuality education activity to an online learning environment.