Miracle-dz/UniFAR-FTUs huggingface dataset:
The Essence of Knowledge Management: A More Appropriate Understanding of Knowledge 1

We contend in this presentation that more sustainable and successful Knowledge Management (KM) solutions can be built by using the principles of Knowledge Engineering (KE) to understand knowledge in a more appropriate way. We will basically explore five aspects of practical knowledge relevant for promoting the essential Human Factors (HF) involved in KM tasks: 1. the value and function of knowledge 2. the motor and mechanism of knowledge 3. the two states and 3 conversions of individual knowledge 4. the logic of networking (natural organisation of knowledge) 5. the handling of knowledge (wheel of knowledge) and then explain their consequences under the form of five principles that we suggest could be used as leading criteria for designing and evaluating KM solutions and systems in a way more appropriate for implementing the recognition of the essential role of people. Website: http://www.fhbb. ch/weknow/vico/
Transmission: From Experience to Awareness: Jewish Children Hidden in France and Their Children

ABSTRACT The purpose of this research was to attempt to understand how the experience of having been a Jewish child hidden in France during the Occupation was transmitted to offspring. This analysis is based on research carried out among former hidden Jewish children, and the therapeutic follow-up provided in the setting of our clinical activities. The psychopathology of the first generation plays a role in the transmission process. The transmission of their history is also a source of ambivalence. This study shows how important it is to consider the complexity of personal histories and the distortions attendant on the transmission of these histories.
Agreement between a simple dyspnea-guided treatment algorithm for stable COPD and the GOLD guidelines: a pilot study

Introduction Guidelines recommendations for the treatment of COPD are poorly followed. This could be related to the complexity of classification and treatment algorithms. The purpose of this study was to validate a simpler dyspnea-based treatment algorithm for inhaled pharmacotherapy in stable COPD, comparing its concordance with the current Global Initiative for Obstructive Lung Disease (GOLD) guideline. Methods We enrolled patients who had been diagnosed with COPD in three primary care facilities and two tertiary hospitals in Spain. We determined anthropometric data, forced expiratory volume in the 1st second (percent), exacerbations, and dyspnea based on the modified Medical Research Council scale. We evaluated the new algorithm based on dyspnea and exacerbations and calculated the concordance with the current GOLD recommendations. Results We enrolled 100 patients in primary care and 150 attending specialized care in a respiratory clinic. There were differences in the sample distribution between cohorts with 41% vs 26% in grade A, 16% vs 12% in grade B, 16% vs 22% in grade C, and 27% vs 40% in grade D for primary and respiratory care, respectively (P=0.005). The coincidence of the algorithm with the GOLD recommendations in primary care was 93% and 91.8% in the respiratory care cohort. Conclusion A simple dyspnea-based treatment algorithm for inhaled pharmacotherapy of COPD could be useful in the management of COPD patients and concurs very well with the recommended schema suggested by the GOLD initiative.
Performance of gray scaled images using segmented cellular neural network - cellular neural network combined trellis coded quantization / modulation (SCNN - CNN CTCQ/TCM) approach over rician fading channel

Bu calismada Bolutlenmis Hucresel Yapay Sinir Aglari-Hucresel Yapay Sinir Aglari Birlesik Kafes Kodlamali Kuantalama ve Modulasyon isleminin gerceklestirildigi yeni bir yapi tanitilmistir. Burada gri tonlamali bir goruntu bizim tarafimizdan onerilen Bolutlemeli Hucresel Yapay Sinir Agi yaklasimi kullanilarak 3 bit seviyesine dusurulmus ve daha sonra CNN tabanli bir modelden olusmus kafes kodlamali kuantalama ve modulasyon yapisindan gecirilmistir. Son olarak bu onerilen yapinin performans analiz islemleri yapilarak simulasyon ve analitik hata basarim egrileri elde edilmistir.
A MODELLING APPROACH TO THE HUMAN PERCEPTION OF SPATIAL ORIENTATION

This is an open-access ar cle distributed under the terms of the Crea ve Commons A ribu on Non-commercial License (h p://crea vecommons.org/licenses/by-nc/3.0), which permits use, distribu on, and reproduc on in any medium, provided the original work is properly cited, the use is non-commercial and is otherwise in compliance with the license. In comparison to high level of knowledge of aircraft dynamics, the knowledge of a pilot in the human – aircraft system still appears to be insuffi cient. There have been a wide variety of studies and models describing the human’s behavior and perception, especially in the fl ight environment. However, only few of them concern the dynamics of spatial orientation perception. This article deals with one of the most important aspects of aviation physiology. The aim of this paper is to consolidate information on the methods for modelling of the human perception of spatial orientation. This knowledge could be useful for further model’s development.
Stranger danger: exploring the ecosystem of ad-based URL shortening services

URL shortening services facilitate the need of exchanging long URLs using limited space, by creating compact URL aliases that redirect users to the original URLs when followed. Some of these services show advertisements (ads) to link-clicking users and pay a commission of their advertising earnings to link-shortening users. In this paper, we investigate the ecosystem of these increasingly popular ad-based URL shortening services. Even though traditional URL shortening services have been thoroughly investigated in previous research, we argue that, due to the monetary incentives and the presence of third-party advertising networks, ad-based URL shortening services and their users are exposed to more hazards than traditional shortening services. By analyzing the services themselves, the advertisers involved, and their users, we uncover a series of issues that are actively exploited by malicious advertisers and endanger the users. Moreover, next to documenting the ongoing abuse, we suggest a series of defense mechanisms that services and users can adopt to protect themselves.
Monotone Operators and the Proximal Point Algorithm

For the problem of minimizing a lower semicontinuous proper convex function f on a Hilbert space, the proximal point algorithm in exact form generates a sequence $\{ z^k \} $ by taking $z^{k + 1} $ to be the minimizes of $f(z) + ({1 / {2c_k }})\| {z - z^k } \|^2 $, where $c_k > 0$. This algorithm is of interest for several reasons, but especially because of its role in certain computational methods based on duality, such as the Hestenes-Powell method of multipliers in nonlinear programming. It is investigated here in a more general form where the requirement for exact minimization at each iteration is weakened, and the subdifferential $\partial f$ is replaced by an arbitrary maximal monotone operator T. Convergence is established under several criteria amenable to implementation. The rate of convergence is shown to be “typically” linear with an arbitrarily good modulus if $c_k $ stays large enough, in fact superlinear if $c_k \to \infty $. The case of $T = \partial f$ is treated in extra detail. Applicati.
Tactile Picture Books for Young Children with Visual Impairment

Tactile picture books are critical to the literacy skills and emotional development in young children with visual impairment. We report a formative study on new methods for designing and creating tactile pictures. We present two tactile picture books created by handcrafting and 3D printing respectively. We report evaluation of these books by experts, outcomes of our participation in a tactile picture book competition, and encouraging feedback from people in the general public who received copies of our books.
Repair of a Bacterial Small β-Barrel Toxin Pore Depends on Channel Width

ABSTRACT Membrane repair emerges as an innate defense protecting target cells against bacterial pore-forming toxins. Here, we report the first paradigm of Ca2+-dependent repair following attack by a small β-pore-forming toxin, namely, plasmid-encoded phobalysin of Photobacterium damselae subsp. damselae. In striking contrast, Vibrio cholerae cytolysin, the closest ortholog of phobalysin, subverted repair. Mutational analysis uncovered a role of channel width in toxicity and repair. Thus, the replacement of serine at phobalysin´s presumed channel narrow point with the bulkier tryptophan, the corresponding residue in Vibrio cholerae cytolysin (W318), modulated Ca2+ influx, lysosomal exocytosis, and membrane repair. And yet, replacing tryptophan (W318) with serine in Vibrio cholerae cytolysin enhanced toxicity. The data reveal divergent strategies evolved by two related small β-pore-forming toxins to manipulate target cells: phobalysin leads to fulminant perturbation of ion concentrations, closely followed by Ca2+ influx-dependent membrane repair. In contrast, V. cholerae cytolysin causes insidious perturbations and escapes control by the cellular wounded membrane repair-like response. IMPORTANCE Previous studies demonstrated that large transmembrane pores, such as those formed by perforin or bacterial toxins of the cholesterol-dependent cytolysin family, trigger rapid, Ca2+ influx-dependent repair mechanisms. In contrast, recovery from attack by the small β-pore-forming Staphylococcus aureus alpha-toxin or aerolysin is slow in comparison and does not depend on extracellular Ca2+. To further elucidate the scope of Ca2+ influx-dependent repair and understand its limitations, we compared the cellular responses to phobalysin and V. cholerae cytolysin, two related small β-pore-forming toxins which create membrane pores of slightly different sizes. The data indicate that the channel width of a small β-pore-forming toxin is a critical determinant of both primary toxicity and susceptibility to Ca2+-dependent repair. IMPORTANCE Previous studies demonstrated that large transmembrane pores, such as those formed by perforin or bacterial toxins of the cholesterol-dependent cytolysin family, trigger rapid, Ca2+ influx-dependent repair mechanisms. In contrast, recovery from attack by the small β-pore-forming Staphylococcus aureus alpha-toxin or aerolysin is slow in comparison and does not depend on extracellular Ca2+. To further elucidate the scope of Ca2+ influx-dependent repair and understand its limitations, we compared the cellular responses to phobalysin and V. cholerae cytolysin, two related small β-pore-forming toxins which create membrane pores of slightly different sizes. The data indicate that the channel width of a small β-pore-forming toxin is a critical determinant of both primary toxicity and susceptibility to Ca2+-dependent repair.
Invariance of the spark, NSP order and RIP order under elementary transformations of matrices

The theory of compressed sensing tells us that recovering all k-sparse signals requires a sensing matrix to satisfy that its spark is greater than 2k, or its order of the null space property (NSP) or the restricted isometry property (RIP) is 2k or above. If we perform elementary row or column operations on the sensing matrix, what are the changes of its spark, NSP order and RIP order? In this paper, we study this problem and discover that these three quantitative indexes of sensing matrices all possess invariance under all matrix elementary transformations except column-addition ones. Putting this result in form of matrix products, we get the types of matrices which multiply a sensing matrix and make the products still have the same properties of sparse recovery as the sensing matrix. According to these types of matrices, we made an interesting discovery that sensing matrices with deterministic constructions do not possess the property universality which belongs to sensing matrices with random constructions.
Convergence Analysis of A Parametric Robust H2 Controller Synthesis Algorithm

This paper presents an iterative algorithm for solving the parametric robust H2 controller synthesis problem and analyzes the convergence properties of the algorithm on several examples. Iterative procedures are normally applied to a large class of robust control design problems in which the formulation naturally leads to bilinear matrix inequalities (BMIs). It is di cult to make concrete statements about the behavior of these iterative algorithms, except that it is often conjectured that the cost in each step of the solution procedure is reduced, which implies that the algorithms should converge to a local minimum. Similar di culties exist for the new LMIbased iterative algorithm that we have recently proposed to solve the BMIs that occur in robustH2 control design. The e ectiveness of the new algorithm has already been demonstrated on several numerical examples. This paper adds an important component to the discussion on the convergence of the new algorithm by verifying that it e ciently converges to the optimal solution. In the process, we provide some new key insights on the proposed design technique which indicate that it exhibits properties similar to the D{K iteration of the complex =Km-synthesis.
Effect of Elbow Flexion, Forearm Rotation and Upper Arm Abduction on MVC Grip and Grip Endurance Time

Abstract This experiment was designed to know the effect of upper limb postural deviations on grip strength and grip endurance time. A full factorial design of experiment, i.e., 3 (0°, 45°, 90° abduction angles of upper arm) × 3 (45°, 90°, 135° angles of elbow flexion) ×3 (0°, -60° prone, +60° supine angles of forearm rotation) was used to find the effect of 27 combinations of postures on maximum voluntary contraction (MVC) grip strength and grip endurance time. The results showed that none of the main factors were significant on MVC grip, although there was a change in MVC grip. Grip endurance time significantly decreased with an increase in upper arm abduction. Also, grip endurance significantly increased with the elbow flexion angle and decreased with forearm rotation from neutral. These data will help designers and engineers to improve the workplace and tools to reduce the risk of injuries.
Constraints on Analogical Inference

The ability to reason by analogy is particularly important because it permits the extension of knowledge of a target domain by virtue of its similarity to a base domain via a process of analogical inference. The general procedure for analogical inference involves copying structure from the base to the target in which missing information is generated, and substitutions are made for items for which analogical correspondences have already been found. A pure copying with substitution and generation process is too profligate to be useful, and so constraints must be placed on what information is to be carried over. In this paper, the importance of systematicity as a constraint on inference is explored in four studies in which subjects find correspondences between domains and also make inferences. This work suggests that people prefer to make inferences of information connected to systematic correspondences between domains. A second important theme of this paper is that violations of one-to-one mapping can lead to inconsistent object substitutions in inference. The data reveal no such inconsistent substitutions in people's inferences, suggesting that they do respect one-to-one mapping in analogical inference. These findings are discussed relative to four prominent computational models of analogical mapping and inference.
20 08 Metaphor and the Space Structuring Model

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Face recognition based on fuzzy Independent Component Analysis

Based on Independent Component Analysis (ICA) and fuzzy membership functions, a new method of face image feature extraction and recognition is proposed. The new face recognition algorithm processes classification and identification of face images with combination of Independent Component Analysis and membership functions. The experiment results on ORL face databases show that the recognition algorithm is feasible and has good recognition capability.
The pragmatic quality of Resources‐ Events‐Agents diagrams: an experimental evaluation

The Resources‐Events‐Agents (REA) model is a semantic data model for the development of enterprise information systems. Although this model has been proposed as a benchmark for enterprise information modelling, only few studies have attempted to empirically validate the claimed benefits of REA modelling. Moreover, these studies focused on the evaluation of REA‐based system implementations rather than directly assessing the REA‐modelled conceptual schemas that these systems are based on. This paper presents a laboratory experiment that measured the user understanding of diagrammatic conceptual schemas developed using the REA model. The theoretical foundation for the hypotheses are cognitive theories that explain pattern recognition phenomena and the resulting reduction in cognitive effort for understanding conceptual schemas. The results of the experiment indicate a more accurate understanding of the business processes and policies modelled when users recognize the REA model’s core pattern of enterprise information in the diagram. The implication for modelling practice is that the use of the REA model improves the requirements engineering process by facilitating the user validation of conceptual schemas produced by analysts, and thus helps ensuring the quality of the enterprise information system that is developed or implemented.
CoreRacer: A practical memory race recorder for multicore x86 TSO processors

Shared memory multiprocessors are difficult to program because of the non-deterministic ways in which the memory operations from different threads interleave. To address this issue, many hardware-based memory race recorders have been proposed that efficiently log an ordering of the shared memory interleavings between threads for deterministic replay. These approaches are challenging to integrate into current processors because they change the cache subsystem or the coherence protocol, and they mostly support a sequentially consistent memory model. In this paper, we describe CoreRacer, a chunk-based memory race recorder architecture for multicore x86 TSO processors. CoreRacer does not modify the cache subsystem and yet it still integrates into the x86 TSO memory model. We show that by leveraging a specific x86 feature, the invariant timestamp, CoreRacer maintains ordering among chunks without piggybacking on cache coherence messages. We provide a detailed implementation and evaluation of CoreRacer on a cycle-accurate x86 simulator. We show that its integration cost into x86 is minimal and its overhead has negligible effect on performance.
Comparative Study of Different Classification Techniques: Heart Disease Use Case

Common stream mining tasks include classification, clustering and frequent pattern mining among them, data stream classification has drawn particular attention due to its vast real-time application. Through these applications, the main goal is to efficiently build classification models from data streams for accurate prediction. The development of such model has shown the need for machine learning techniques to be applied to large scale data. A range of machine learning techniques exists and the selection of the accurate techniques is based on advantages and limits of each one and how these latter well addresses important research techniques. In this paper, we present the comparison of different classification techniques using WEKA in order to investigate the performance of a collection of classification algorithms. This comparison shows the support vector machine performance with higher accuracy and better results when classifying our dataset.
Unimodal Bandits without Smoothness

We consider stochastic bandit problems with a continuous set of arms and where the expected reward is a continuous and unimodal function of the arm. No further assumption is made regarding the smoothness and the structure of the expected reward function. For these problems, we propose the Stochastic Pentachotomy (SP) algorithm, and derive finite-time upper bounds on its regret and optimization error. In particular, we show that, for any expected reward function $\mu$ that behaves as $\mu(x)=\mu(x^\star)-C|x-x^\star|^\xi$ locally around its maximizer $x^\star$ for some $\xi, C>0$, the SP algorithm is order-optimal. Namely its regret and optimization error scale as $O(\sqrt{T\log(T)})$ and $O(\sqrt{\log(T)/T})$, respectively, when the time horizon $T$ grows large. These scalings are achieved without the knowledge of $\xi$ and $C$. Our algorithm is based on asymptotically optimal sequential statistical tests used to successively trim an interval that contains the best arm with high probability. To our knowledge, the SP algorithm constitutes the first sequential arm selection rule that achieves a regret and optimization error scaling as $O(\sqrt{T})$ and $O(1/\sqrt{T})$, respectively, up to a logarithmic factor for non-smooth expected reward functions, as well as for smooth functions with unknown smoothness.
Similarity Recognition in the Web of Data

In the web of data, similarity recognition is the basis for a variety of resource-consuming activities and applications, including data recommendation, data aggregation, and data analysis. In this paper, we proposeHMatch4, a novel instance matching algorithm for similarity recognition, which has been developed on the ground of our experience with HMatch3 [3].
Electrospun bioresorbable trileaflet heart valve prosthesis for tissue engineering: in vitro functional assessment of a pulmonary cardiac valve design.

SUMMARY Currently implanted prosthetic heart valves, both mechanical or biological ones, are used to restore the proper blood hemodynamics when the native valves fail. However, these medical devices are not free from drawbacks, such as hemolysis or calcification, also presenting the relevant disadvantage of being unable to growth, repair and remodel. An improvement could be represented by bioresorbable polymeric tissue-engineered heart valves. In this paper a poly(epsilon -caprolactone) (PCL) heart valve prosthesis, realized by means of electrospinning, and its in vitro functional characterization in a pulse duplicator, resembling pulmonary conditions, is presented. Morphological examination revealed polymeric micrometric fibers randomly oriented with an average porosity of about 90 percent. Pulse duplicator testing highlighted that leaflets opened synchronously and showed a correct coaptation in the diastolic phase, even if a slight rotation of the leaflets was visualized. In silico study by numerical simulation of the closed phase predicted the stress distribution within the leaflet, showing that peak levels are reached at the commissures and sustained by the structure without failure. The present study highlighted the technical feasibility to produce polymeric bioresorbable functional heart valves by means of electrospinning. Further studies and design changes are needed in order to optimize the final scaffold to bear arterial hemodynamic conditions.