Miracle-dz/UniFAR-FTUs huggingface dataset:
DLOSSS: An improved ontology-based semantic web search system

Semantic Web search based on ontology is a relatively new promising search technology in Web search. The quality of the result ranking is crucial for the success of a search system and depends mainly on the domain ontology in semantic search. However, the domain ontology usually fail to be updated in time and still stay in the initial state that does not contain enough semantics to provide the powerful support for semantic search. As a result, the quality of the result ranking was often poor. This paper proposes an improved ontology-based semantic search system that combines the semantic search with ontology evolution. The aim of this modification is to efficiently enhance the performance of the result ranking by periodically automated ontology evolution, which can enrich the domain ontology by adding more semantics into it. Moreover, a novel algorithm of result ranking is presented in this paper in order to ensure achieving the high-quality ranking results. The performance of the proposed system is evaluated with three experiments, and the experimental results show that the improved semantic search system has a much better performance than the one without ontology evolution.
Optic neuropathy secondary to cat scratch disease: distinguishing MR imaging features from other types of optic neuropathies.

BACKGROUND AND PURPOSE MR imaging characteristics of optic neuropathy caused by cat scratch disease have not yet been described; this lack of information may result in incorrect diagnosis and may contribute to initiation of inappropriate therapy. Our study was based on the hypothesis that cat scratch disease-related optic neuropathy has distinct MR imaging features compared with those of other types of optic neuropathies. METHODS Eighty-two patients with various causes of optic neuropathy and available MR imaging examinations were included in this study. Two readers blinded to the diagnosis reviewed the MR images independently in regard to presence, location, and extent of optic nerve enhancement. The MR imaging findings were correlated with the final diagnosis. RESULTS Eleven percent (9/82) of the patients received a final diagnosis of cat scratch disease. Optic nerve enhancement in patients with cat scratch disease (5/37) was localized to a 3- to 4-mm segment at the optic nerve-globe junction. All other patients with optic neuropathy (31/37) with one exception showed enhancement away from the optic nerve-globe junction or a long-segment enhancement when the optic nerve-globe junction was also involved. Four patients with cat scratch disease did not show any optic nerve MR abnormalities. CONCLUSION Unilateral, short-segment enhancement localized to the optic nerve-globe junction is highly specific for cat scratch disease as the underlying cause of optic neuropathy and may help in establishing the diagnosis of this condition.
Does PRV really affect intrinsic honesty?

Department of Periodontology, Faculty of Dental Medicine, Mohammed V University in Rabat, Rabat, Morocco; Pharmacoeconomics Pharmacoepidemiology Research Team, Laboratory of Pharmacology and Toxicology, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco; Laboratory of Biostatistics, Clinical Research, and Epidemiology. Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco
European Conference on Cognitive Ergonomics: Designing beyond the Product --- Understanding Activity and User Experience in Ubiquitous Environments

The European Conference on Cognitive Ergonomics is a yearly activity of the European Association of Cognitive Ergonomics. The 2009 meeting is hosted by VTT Technical Research Centre of Finland. ECCE 2009 focuses on the topic "Designing beyond the product --- Understanding activity and user experience in ubiquitous environments". The topic challenges the cognitive ergonomics community in several respects. The first challenge is the focus on design. While we may agree that human factors / ergonomics is basically a science of design, the full meaning and consequences of this characterisation of the role of our discipline needs thinking and clarification. Attention should then be devoted on issues concerning the nature of knowledge we consider valid, the methods we use, the way we understand the relationship of human and technology, and also the societal purposes for which our knowledge is applied. A further challenge is that the target of cognitive ergonomic design is widening from singular products to systems, environments, and services. This is much due to the advanced possibilities to apply information technology in these systems and environments. It is to be expected that our notions concerning cognitive phenomena and human action will be focused towards the environment and the distributed systems in which people are involved. At the same time the design of technologies needs understanding of the neural and physical bases of human behaviour. Finally, we may notice that one of the fundamental topics of philosophy and psychology, "experience", has taken its place in everyday design vocabulary. It is an interesting challenge for the cognitive ergonomics community to support in deepening our joint understanding of this notion in design. All these issues are discussed extensively by our knowledgeable keynote speakers and discussed by invited experts from the industry. The presentations of the conference participants will in more specific and detailed ways elaborate the themes and bring up new ones. We hope that the scientific and social yield of the congress will be abundant and that it fulfills the expectations of our colleagues and guests.
Optimal Algorithms for Cross-Rack Communication Optimization in MapReduce Framework

MapReduce is a widely used data-parallel programming model for large-scale data analysis. The framework is shown to be scalable to thousand of computing nodes and reliable on commodity clusters. However, research has shown that there is room for performance improvement of the MapReduce framework. One of the main performance bottlenecks is caused by the all-to-all communication between mappers and reducers, which may saturate the top-of-rack switch and inflate job execution time. Reducing cross-rack communication will improve job performance. In current MapReduce implementation, the task assignment is based on the pull-model, in which cross-rack traffic is difficult to control. In contrast, the MapReduce framework allows more flexibility in assigning reducers to the computing nodes. In this paper, we investigate the reducer placement problem (RPP), which considers the placement of reducers to minimize cross-rack traffic. We devise two optimal algorithms to solve RPP and implement the algorithms in the Hadoop system. We also propose an analytical solution for this problem. Our experiment results with a set of MapReduce applications show that our optimization achieves 9\% to 32\%performance improvement compared with the unoptimized Hadoop.
Carbon limitation of soil respiration under winter snowpacks: potential feedbacks between growing season and winter carbon fluxes

A reduction in the length of the snow‐covered season in response to a warming of high‐latitude and high‐elevation ecosystems may increase soil carbon availability both through increased litter fall following longer growing seasons and by allowing early winter soil frosts that lyse plant and microbial cells. To evaluate how an increase in labile carbon during winter may affect ecosystem carbon balance we investigated the relationship between carbon availability and winter CO2 fluxes at several locations in the Colorado Rockies. Landscape‐scale surveys of winter CO2 fluxes from sites with different soil carbon content indicated that winter CO2 fluxes were positively related to carbon availability and experimental additions of glucose to soil confirmed that CO2 fluxes from snow‐covered soil at temperatures between 0 and −3°C were carbon limited. Glucose added to snow‐covered soil increased CO2 fluxes by 52–160% relative to control sites within 24 h and remained 62–70% higher after 30 days. Concurrently a shift in the δ13C values of emitted CO2 toward the glucose value indicated preferential utilization of the added carbon confirming the presence of active heterotrophic respiration in soils at temperatures below 0°C. The sensitivity of these winter fluxes to substrate availability, coupled with predicted changes in winter snow cover, suggests that feedbacks between growing season carbon uptake and winter heterotrophic activity may have unforeseen consequences for carbon and nutrient cycling in northern forests. For example, published winter CO2 fluxes indicate that on average 50% of growing season carbon uptake currently is respired during the winter; changes in winter CO2 flux in response to climate change have the potential to reduce substantially the net carbon sink in these ecosystems.
Local optimal sensor deployment for random field reconstruction

Deploying the sensor nodes at the best locations for random field reconstruction via sensor network is a fundamental task. We propose two criteria to evaluate the performance of random field reconstruction. The local optimal solutions for the random field reconstruction under both criteria are also proposed. We show that the local optimal sensor deployments under the proposed criteria are both uniformly distributed for the one dimensional random field which is stationary and isotropic. Several simulations show the performance of our proposed method.
An architectural systems engineering methodology for addressing cyber security

This paper discusses important shortcomings of current approaches to systems security engineering. The value and limitations of perimeter security designs are examined. An architectural approach to systems security engineering is introduced as a complementary means for strengthening current approaches. Accordingly, this paper outlines a methodology to identify classes of new reusable system security solutions and an architectural framework based on reuse of the patterns of solutions. It also introduces a new methodology for security metrics intended to stimulate critical solution design tradeoff analyses as part of security design reuse considerations. Examples of problems, potential architectural solutions, and corresponding security metrics are provided. © 2011 Wiley Periodicals, Inc. Syst Eng
Study of robust tracking control for a class of nonlinear systems

A smooth and simple robust tracking controller is presented for a class of nonlinear systems with unmatched uncertainties and a strong relative degree in the paper. Using the technique of feedback linearization and Lyapunov approach, the designed controller can suppress forwardly the influence of uncertainties. Meanwhile, there is no Lyapunov functions in controller but concrete controller expression instead and no norm computing in each step of control. The practical stability of output tracking error and the states of the corresponding closed-loop system are demonstrated by Lyapunov stability theorem. A simulation results demonstrate the effectiveness of the proposed approach.
Climate Change and Latitudinal Patterns of Intertidal Thermal Stress

The interaction of climate and the timing of low tides along the West Coast of the United States creates a complex mosaic of thermal environments, in which northern sites can be more thermally stressful than southern sites. Thus, climate change may not lead to a poleward shift in the distribution of intertidal organisms, as has been proposed, but instead will likely cause localized extinctions at a series of “hot spots. ” Patterns of exposure to extreme climatic conditions are temporally variable, and tidal predictions suggest that in the next 3 to 5 years “hot spots” are likely to appear at several northern sites.
An Auditory Neural Feature Extraction Method for Robust Speech Recognition

This paper proposes a neural mechanism motivated system to extract noise resistant features for robust speech recognition. We use nonnegative matrix factorization to construct two layers of auditory neurons which captures the essence of speech patterns. The responses of these neurons to speech are further processed to form an auditory neural cepstral coefficient (ANCC) representation for speech recognition. We test the robustness of ANCC feature on a 51-word corpus, with recognizers trained on clean speech in noisy conditions. Compared with MFCC, ANCC shows less performance degradation and achieves satisfactory recognition accuracies in both non-stationary noise and high noise level conditions.
On the Convergence of Multiclass Queueing Networksin

The subject of this paper is the heavy traac behavior of a general class of queueing networks with rst-in-rst-out (FIFO) service discipline. For special cases which require various assumptions on the network structure, several authors have proved heavy traac limit theorems to justify the approximation of queueing networks by reeecting Brownian motions. Based on these theorems, some have conjectured that the Brownian approximation may in fact be valid for a more general class of queueing networks. In this paper, we prove that the Brownian approximation does not hold for such a general class of networks. Our ndings suggest that it may be fruitful to consider a more general class of approximating processes.
Investigation the efficacy of intra-articular prolotherapy with erythropoietin and dextrose and intra-articular pulsed radiofrequency on pain level reduction and range of motion improvement in primary osteoarthritis of knee

Background: Osteoarthritis is one of the most common diseases and the knee is the most commonly affected joint. Intra-articular prolotherapy is being utilized in acute and chronic pain management setting. This study was designed to compare the efficacy of three methods of intra-articular knee joint therapies with erythropoietin, dextrose, and pulsed radiofrequency. Materials and Methods: After approval by the Ethics Committee and explaining the therapeutic method to volunteers, 70 patients who were suffering from primary knee osteoarthrosis went through one of the treatment methods (erythropoietin, dextrose, and pulsed radiofrequency). The study was double-blind randomized clinical trial performed from December 2012 to July 2013. Patients’ pain level was assessed through the visual analog pain scale (VAS), and range of motion (ROM) was measured by goniometric method. Furthermore, patients’ satisfaction was assessed before and after different treatment methods in weeks 2, 4, and 12. For analysis, Chi-square, one-way ANOVA, and repeated measured ANOVA were utilized. Results: The demographic results among the three groups did not indicate any statistical difference. The mean VAS in erythropoietin group in the 2nd, 4th, and 12th weeks was 3.15 ± 1.08, 3.15 ± 1.08, and 3.5 ± 1.23, respectively (P ≤ 0.005). Knee joint ROM in the erythropoietin group in the 2nd, 4th, and 12th weeks was 124 ± 1.50, 124 ± 1.4, and 123 ± 1.53 respectively (P ≤ 0.005). Satisfaction score in the 12th week in erythropoietin group was extremely satisfied 15%, satisfied 55%, and moderately satisfied 30%, (P = 0.005). No specific side-effects were observed. Conclusion: Intra-articular prolotherapy with erythropoietin was more effective in terms of pain level reduction and ROM improvement compared with dextrose and pulsed radiofrequency.
Dimension-Based Subscription Pruning for Publish/Subscribe Systems

Subscription pruning has been proven as valuable routing optimization for Boolean subscriptions in publish/ subscribe systems. It aims at optimizing subscriptions independently of each other and is thus applicable for all kinds of subscriptions regardless of their individual and collective structures. The original subscription pruning approach tries to optimize the event routing process based on the expected increase in network load. However, a closer look at pruning-based routing reveals its further applicability to optimizations in respect to other dimensions. In this paper, we introduce and investigate subscription pruning based on three dimensions of optimization: network load, memory usage, and system throughput. We present the algorithms to perform prunings based on these dimensions and discuss the results of a series of practical experiments. Our analysis reveals the advantages and disadvantages of the different dimensions of optimization and allows conclusions about the suitability of dimension-based pruning for different application requirements.
ETS: An Error Tolerable System for Coreference Resolution

This paper presents our error tolerable system for coreference resolution in CoNLL-2011 (Pradhan et al., 2011) shared task (closed track). Different from most previous reported work, we detect mention candidates based on packed forest instead of single parse tree, and we use beam search algorithm based on the Bell Tree to create entities. Experimental results show that our methods achieve promising results on the development set.
From transporter to transceptor: Signaling from transporters provokes re-evaluation of complex trafficking and regulatory controls

When cells are starved of their substrate, many nutrient transporters are induced. These undergo rapid endocytosis and redirection of their intracellular trafficking when their substrate becomes available again. The discovery that some of these transporters also act as receptors, or transceptors, suggests that at least part of the sophisticated controls governing the trafficking of these proteins has to do with their signaling function rather than with control of transport. In yeast, the general amino acid permease Gap1 mediates signaling to the protein kinase A pathway. Its endocytic internalization and intracellular trafficking are subject to amino acid control. Other nutrient transceptors controlling this signal transduction pathway appear to be subject to similar trafficking regulation. Transporters with complex regulatory control have also been suggested to function as transceptors in other organisms. Hence, precise regulation of intracellular trafficking in nutrient transporters may be related to the need for tight control of nutrient‐induced signaling.
Affine motion segmentation from feature point trajectories using rank minimization

In this paper, we examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation problem can be cast as the problem of segmenting samples drawn from a union of linear subspaces. We pose this problem as a rank minimization problem, where the goal is to decompose the corrupted data matrix as the sum of a low-rank dictionary plus a matrix of noise. Given a set of data vectors, low rank representation seeks the lowest rank representation among all the linear combination of the bases in a dictionary. For noisy data, this non-convex problem can be solved very efficiently in the inexact Augmented Lagrange Multiplier method. Our algorithm amounts to an SVD of the data matrix and a shrinkage-thresholding of its singular values. We have experimented on real image sequence, where we show good segmentation result, comparable to the state-of-the-art in literature.
Regional analysis of user interactions on social media in times of disaster

Social media attract attention for sharing information, especially Twitter, which is now being used in times of disasters. In this paper, we perform regional analysis of user interactions on Twittter during the Great East Japan Earthquake and arrived at the following two conclusions:People diffused much more information after the earthquake, especially in the heavily-damaged areas; People communicated with nearby users but diffused information posted by distant users. We conclude that social media users changed their behavior to widely diffuse information.
Muddles, puddles and sunshine: your activity book to help when someone dies

have not cognitively developed the vocabulary to describe difficult emotional feelings. The death of a family member or someone close is a traumatic event for anyone, but for young children it can be immensely confusing. Young lives can be devastatingly turned upside down, with financial and environmental implications, particularly if a parent dies. This book can be seen as a little ray of sunshine in a young child’s shattered world. It is designed to be shared with an adult the child trusts. This does not have to be a parent or professional, but the book recommends, if possible, parental discussion at some point. At the back, there are suggested guidelines as to how to use this activity book with a bereaved child. Although aimed at primary school age children, it could be used with older children depending upon maturity. The reasons I recommend this book are:
AN INTEGRATED SYSTEM FOR URBAN MODEL GENERATION

Many tasks in the context of urban planning presume 3D city models, where buildings are represented separately from the terrain surface e.g. by 3D boundary representations. One of the most promising approaches to solve the challenging task of automatic 3D city model acquisition is the integration of multiple data sources to benefit from the complementary types of information. In our approach height data and existing ground plans of buildings and multi-spectral images are combined in an integrated system for the generation of 3D urban models.
The LogitBoost Based on Joint Feature for Face Detection

In this paper, joint Haar-like feature is used for detecting faces in images. Our method is based on the co-occurrence Haar-like features which can capture the structural characteristic of the face, make it possible to construct more effective weak classifier. As the Haar-like, the joint Haar-like feature can be calculated very effective and has the robustness to addition of noise and change in illumination. The face detector is learned by stage wise selection which is different with Viola and Jones Detector is that we use LogitBoost. We perform two experiments: In the Experiment 1, we show that the LogitBoost [9] obtain higher performance than AdaBoost [2] [4] [11]. We have confirmed that our method based on LogitBoost yielded higher performance than AdaBoost. In the Experiment 2, the performance increase according with the num of the combined features. However, the time spent increase at huge growth rate, too. Therefore, we will research that how we can choose the optimal F at the acceptable training time in the latter work.
Soluble models of turbulent advection

The understanding of developed turbulence, a long standing challenge for mathematical physics, has entered into the third millennium as an unsolved problem. It poses basic questions con-cerning both the behavior of solutions of hydrodynamical equations and the basic principles of statistical mechanics of systems out of equilibrium. Although we seem far away from the deﬁ-nite answers to these million (or more) dollar questions (Feﬀerman, 2000), some insight may be gained by studying simpler models showing similar behaviors, often themselves not devoided of direct physical interest. One of such problems concerns the passive transport of scalar quanti-ties such as temperature or tracer θ ( t, x ) and pollutant or dye density ρ ( t, x ) by random ﬂows. The ﬂows are described by a simple random ensemble of velocities v ( t, x ) that is considered given. Such approach ignores the back-reaction of the scalar on the velocity dynamics as well as many details of that dynamics. It incorporates, however, the basic phenomenological property of velocities exhibiting developed turbulence: their (approximate) statistical scaling signaled by the scaling behavior of the expectations of the powers of the velocity diﬀerences, the so called velocity structure functions , with ζ N (for low N ) not far from the mean ﬁeld theory (Kolmogorov, 1941) value ζ Kol N that would correspond to α = 1 / 3. The time-evolution scalar is described by