Miracle-dz/UniFAR-FTUs huggingface dataset:
Charged Higgs Sector with and without R--Parity

The simplest way of studying systematically R-parity violating phenomena is by introducing a bilinear term in the superpotential of the type $\epsilon\hat L\hat H_2$, which violates R-parity and lepton number but keep barion number conserved. In its simplest version, this ``$\epsilon$--model'' is a two parameter extension of the MSSM and a one parameter extension of the MSSM--SUGRA. Here we study the charged Higgs sector of the model, which mixes with the stau sector, and compare it with the charged Higgs sector of the MSSM. We demonstrate that $m_{H^{\pm}}$ can be lower than $m_W$ already at tree level, and calculate the production cross section of pairs of charged Higgs and staus. In this model it is possible the mixed production of a charged Higgs and a stau and its production cross section can be sizable. We finally comment about the new R-parity violating decay modes of the charged scalars.
Slices Isolator for a Virtualized Openflow Node

Virtualization is emerging as a key mechanism of scaling the infrastructure and facilitating service deployment for future Internet. Network virtualization provides the ability to slice larger, underutilized physical nodes into smaller, virtual ones. To ensure deterministic performance, guaranteed QoS, and independent behavior, virtual nodes have to be properly isolated. However, a high isolation can have an important impact on the node performance and configuration flexibility. This paper investigates the problem of isolation between the slices of a virtualized switch. Our approach consists on adapting isolation to the desired performance and flexibility while ensuring fairness between the slice. Based on that approach, we developed a model that provide the choice between several levels of isolation. Each level corresponds to one or more resources. We implemented this model for a virtualized Open Flow 1.1 switch. We propose a utility-based evaluation balancing performance and flexibility that provide the adapted isolation level to the required demand. This model gives preference to the user to have isolation with a higher flexibility or lower overhead. Our analysis also shows that the overhead and the resource consumption of the isolation is reduced while remaining flexible and dynamic.
Asymptotic Behavior of Internet Congestion Controllers in a Many-Flows Regime

Congestion controllers for the Internet are typically designed based on deterministic delay differential equation models. In this paper, we consider the case of a single link accessed by many TCP-like congestion-controlled flows and uncontrolled flows that are modeled as stochastic disturbances. We show that if the number of flows is large and the link capacity is scaled in proportion to the number of users, then under appropriate conditions, the trajectory of the stochastic system is eventually well approximated by the trajectory of a delay-differential equation. Our analysis also throws light on the choice of various parameters that ensureglobal asymptotic stability of the limiting deterministic system in the presence of feedback delay. Numerical examples with some popular congestion feedback mechanisms validate the parameter choices from the analysis. The results indicate that a system with multiple TCP-like flows is globally stable (and thus, that a deterministic model is reasonable if the number of flows is large) as long asthe product of the throughput and feedback delay per flow is not very small.
Optimal Packet Scheduling in a Multiple Access Channel with Rechargeable Nodes

In this paper, we investigate the optimal packet scheduling problem in a two-user multiple access communication system, where the transmitters are able to harvest energy from the nature. Under a deterministic system setting, we assume that the energy harvesting times and harvested energy amounts are known before the transmission starts. For the packet arrivals, we assume that packets have already arrived and are ready to be transmitted at the transmitter before the transmission starts. Our goal is to minimize the time by which all packets from both users are delivered to the destination through controlling the transmission powers and transmission rates of both users. We first develop a generalized iterative backward waterfilling algorithm to characterize the maximum departure region of the transmitters for any given deadline $T$. Then, based on the departure region at energy arrival epochs, we decompose the transmission completion time minimization problem into a convex optimization problem and solve it efficiently.
A Network-Based Model for Predicting Air Traffic Delays

—This paper presents a new model for predicting delays in the National Airspace System (NAS). The proposed model uses Random Forest (RF) algorithms, considering both temporal and spatial (that is, network) delay states as explanatory variables. In addition to local delay variables that describe the arrival or departure delay states of the most inﬂuential airports and origin-destination (OD) pairs in the network, we propose new network delay variables that depict the global delay state of the entire NAS at the time of prediction. The paper analyzes both the classiﬁcation and regression performance of the proposed prediction models, which are trained and validated on 2007 and 2008 ASPM data. The predictive performance of the model is evaluated using the 100 most delayed OD pairs in the NAS: the results show that given a 2-hour prediction horizon, the average test error across these 100 OD pairs is 19% when classifying delays as above or below 60 min. The effect of changes in the classiﬁcation threshold and prediction horizon on model performance are also studied.
On practical aspects of optimal FSD filter design using extracted window method

In this paper the practical aspects of the extracted window method applied to the nearly optimal fractional sample delay (FSD) filter design has been investigated. As the window method is one of the most numerically efficient digital filter design methods, this approach is well suited for variable fractional sample delay (VFSD) filter implementations which require frequent impulse response recalculation. On the other hand, the use of symmetric window extracted from the optimal filter (minimax or least squared error) solves the problem of window selection and results in nearly optimal high performance VFSD filters. However, the design procedure requires additional gain correction dependent on fractional delay. As the optimal gain correction factor computation should not be performed at runtime, low order polynomial approximation has been investigated in this paper. Additionally, performance loss resulting from limited word length in fixed-point arithmetic has also been discussed.
Lower bounds for natural proof systems

Two decidable logical theories are presented, one complete for deterministic polynomial time, one complete for polynomial space. Both have natural proof systems. A lower space bound of n/log(n) is shown for the proof system for the PTIME complete theory and a lower length bound of 2cn/log(n) is shown for the proof system for the PSPACE complete theory.
Article in Press G Model Artificial Intelligence in Medicine Cardiac Magnetic Resonance Image-based Classification of the Risk of Arrhythmias in Post-myocardial Infarction Patients

Keywords: Local binary pattern Sobel filter k-Nearest neighbor classifier Support vector machine classifier Cardiac magnetic resonance image High and low arrhythmic risk a b s t r a c t Introduction: Patients surviving myocardial infarction (MI) can be divided into high and low arrhythmic risk groups. Distinguishing between these two groups is of crucial importance since the high-risk group has been shown to benefit from implantable cardioverter defibrillator insertion; a costly surgical procedure with potential complications and no proven advantages for the low-risk group. Currently, markers such as left ventricular ejection fraction and myocardial scar size are used to evaluate arrhythmic risk. Methods: In this paper, we propose quantitative discriminative features extracted from late gadolinium enhanced cardiac magnetic resonance images of post-MI patients, to distinguish between 20 high-risk and 34 low-risk patients. These features include size, location, and textural information concerning the scarred myocardium. To evaluate the discriminative power of the proposed features, we used several built-in classification schemes from matrix laboratory (MATLAB) and Waikato environment for knowledge analysis (WEKA) software, including k-nearest neighbor (k-NN), support vector machine (SVM), decision tree, and random forest. Results: In Experiment 1, the leave-one-out cross-validation scheme is implemented in MATLAB to classify high-and low-risk groups with a classification accuracy of 94.44%, and an AUC of 0.965 for a feature combination that captures size, location and heterogeneity of the scar. In Experiment 2 with the help of WEKA, nested cross-validation is performed with k-NN, SVM, adjusting decision tree and random forest classifiers to differentiate high-risk and low-risk patients. SVM classifier provided average accuracy of 92.6%, and AUC of 0.921 for a feature combination capturing location and heterogeneity of the scar. Experiment 1 and Experiment 2 show that textural features from the scar are important for classification and that localization features provide an additional benefit. Conclusion: These promising results suggest that the discriminative features introduced in this paper can be used by medical professionals, or in automatic decision support systems, along with the recognized risk markers, to improve arrhythmic risk stratification in post-MI patients.
International Society for Ecological Economics [ISEE]

s must be no more than 300 words in length. We invite you to join and contribute to this dialogue and co-learning forum about making genuine progress on the journey to economic and ecological sustainability. Share your knowledge and ideas relating to best practices in sustainability, and help to craft practical recommendations for the development of personal, household, corporate and public policies that effectively support sustainability. These recommendations will guide the future development of ecological economics as a field of professional practice and scholarly research. Website: http://www.cansee. org/
Behaviour profiles of children with attention deficit hyperactivity disorder and autism spectrum disorder on the parent Pervasive Developmental Disorder Behaviour Inventory

For citation purposes: Cohen IL. Behaviour profiles of children with attention deficit hyperactivity disorder and autism spectrum disorder on the parent Pervasive Developmental Disorder Behaviour Inventory. Abstract Introduction Substantial overlap exists between autism spectrum disorder and attention deficit hyperactivity disorder at multiple levels. Aetiologi-cally, similarity exists in genetic liability for the two disorders. Phenotypically, comorbidity exists between autism spectrum disorder and symptoms of attention deficit hyperactivity disorder with rates varying between 28% and 92% and both groups have similar problems with social cognition. The aim of this study was to discuss behaviour profiles of children with attention deficit hyperactivity disorder and autism spectrum disorder on the parent PDD Behaviour Inventory. Materials and methods Parent ratings of children with autism spectrum disorder (with and without attention deficit hyperactivity disorder behaviours) were compared with parent ratings of children with attention deficit hyperactivity disorder behaviours who did not have autism spectrum disorder (the attention deficit hyperactivity disorder group) using the PDD Behaviour Inventory, a rating instrument that is age-standardised on children with autism spectrum disorder and
Analysis of a Delayed SIR Epidemic Model

An SIR epidemic model with incubation time and saturated incidence rate is formulated, where the susceptibles are assumed to satisfy the logistic equation and the incidence term is of saturated form with the infective. Threshold quantity Ro is derived which determines whether the disease dies out or remains endemic. If Ro1, there will be an endemic and the disease is permanent if it initially exists.
Paragraph Clustering for Intrinsic Plagiarism Detection using a Stylistic Vector Space Model with Extrinsic Features

Our approach to the task of intrinsic plagiarism detection uses a vectorspace model which eschews surface features in favor of richer extrinsic features, including those based on latent semantic analysis in a larger external corpus. We posit that the popularity and success of surface n-gram features is mostly due to the topic-biased nature of current artificial evaluations, a problem which unfortunately extends to the present PAN evaluation. One interesting of aspect of our approach is our way of dealing with small, imbalanced span sizes; we improved performance considerably in our development evaluation by countering these effect using the expected difference of sums of random variables.
Parallel one-versus-rest SVM training on the GPU

Linear SVMs are a popular choice of binary classifier. It is often necessary to train many different classifiers on a multiclass dataset in a one-versus-rest fashion, and this for several values of the regularization constant. We propose to harness GPU parallelism by training as many classifiers as possible at the same time. We optimize the primal L2-loss SVM objective using the conjugate gradient method, with an adapted backtracking line search strategy. We compared our approach to liblinear and achieved speedups of up to 17 times on our available hardware.
Midivis: Visualizing Music Structure via Similarity Matrices

This paper presents a technique for visualizing symbolically encoded music stored in MIDI files. The method is automatic and enables visualizing an entire opus in a single image. The resulting images unveil the structure of a piece as well as detailed themes’ leading within a piece. The technique proposed in the paper is suitable for many types of music (both classical and popular) and the quality of the visualization highly depends on the quality of input MIDI file. The program for creating visualizations using this technique and previewing them with audio playback is made available for use within the community.
lant – plant interactions , environmental gradients and plant iversity : A global synthesis of community-level studies

Previous syntheses on the effects of environmental conditions on the outcome of plant–plant interactions summarize results from pairwise studies. However, the upscaling to the community-level of such studies is problematic because of the existence of multiple species assemblages and species-specific responses to both the environmental conditions and the presence of neighbors. We conducted the first global synthesis of community-level studies from harsh environments, which included data from 71 alpine and 137 dryland communities to: (i) test how important are facilitative interactions as a driver of community structure, (ii) evaluate whether we can predict the frequency of positive plant–plant interactions across differing environmental conditions and habitats, and (iii) assess whether thresholds in the response of plant–plant interactions to environmental gradients exists between “moderate” and “extreme” environments. We also used those community-level studies performed across gradients of at least three points to evaluate how the average environmental conditions, the length of the gradient studied, and the number of points sampled across such gradient affect the form and strength of the facilitation-environmental conditions relationship. Over 25% of the species present were more spatially associated to nurse plants than expected by chance in both alpine and dryland areas, illustrating the high importance of positive plant–plant interactions for the maintenance of plant diversity in these environments. Facilitative interactions were more frequent, and more related to environmental conditions, in alpine than in dryland areas, perhaps because drylands are generally characterized by a larger variety of environmental stress factors and plant functional traits. The frequency of facilitative interactions in alpine communities peaked at 1000 mm of annual rainfall, and globally decreased with elevation. The frequency of positive interactions in dryland communities decreased globally with water scarcity or temperature annual range. Positive facilitation-drought stress relationships are more likely in shorter regional gradients, but these relationships are obscured in regions with a greater species turnover or with complex environmental gradients. By showing the different climatic drivers and behaviors of plant–plant interactions in dryland and alpine areas, our results will improve predictions regarding the effect of facilitation on the assembly of plant communities and their response to changes in environmental conditions. © 2014 Geobotanisches Institut ETH, Stiftung Ruebel. Published by Elsevier GmbH. All rights reserved.
Characterization of rhodopsin mis-sorting and constitutive activation in a transgenic rat model of retinitis pigmentosa.

PURPOSE To determine the extent to which rhodopsin mis-sorting and constitutive activation of the phototransduction cascade contribute to retinal degeneration in a transgenic rat model of retinitis pigmentosa. METHODS Retinas from transgenic rats expressing truncated rhodopsin (Ser334ter) were examined by light and electron microscopic immunocytochemistry at several time points. Retinal degeneration in transgenic rats raised in darkness was evaluated by quantification of outer nuclear layer thickness and by electroretinography. RESULTS Mutant rhodopsin was found at inappropriately high levels in the plasma membrane and cytoplasm of Ser334ter rat photoreceptors. When the cell death rate was high this mis-sorting was severe, but mis-sorting attenuated greatly at later stages of degeneration, as the cell death rate decreased. The distributions of two other outer segment proteins (the cGMP-gated channel and peripherin) were examined and found to be sorted normally within the photoreceptors of these rats. Raising Ser334ter transgenic rats in darkness resulted in minimal rescue from retinal degeneration. CONCLUSIONS Because dark rearing Ser334ter rats results in little rescue, it is concluded that constitutive activation of the phototransduction cascade does not contribute significantly to photoreceptor cell death in this rat model. The nature of the rhodopsin sorting defect and the correlation between the severity of mis-sorting and rate of cell death indicate that truncated rhodopsin may cause apoptosis by interfering with normal cellular machinery in the post-Golgi transport pathway or in the plasma membrane.
Numerical Simulation of Airflow Fields in Two Typical Nasal Structures of Empty Nose Syndrome: A Computational Fluid Dynamics Study

Background The pathogenesis of empty nose syndrome (ENS) has not been elucidated so far. Though postulated, there remains a lack of experimental evidence about the roles of nasal aerodynamics on the development of ENS. Objective To investigate the nasal aerodynamic features of ENS andto explore the role of aerodynamic changes on the pathogenesis of ENS. Methods Seven sinonasal models were numerically constructed, based on the high resolution computed tomography images of seven healthy male adults. Bilateral radical inferior/middle turbinectomy were numerically performed to mimic the typical nasal structures of ENS-inferior turbinate (ENS-IT) and ENS-middle turbinate (ENS-MT). A steady laminar model was applied in calculation. Velocity, pressure, streamlines, air flux and wall shear stress were numerically investigated. Each parameter of normal structures was compared with those of the corresponding pathological models of ENS-IT and ENS-MT, respectively. Results ENS-MT: Streamlines, air flux distribution, and wall shear stress distribution were generally similar to those of the normal structures; nasal resistances decreased. Velocities decreased locally, while increased around the sphenopalatine ganglion by 0.20±0.17m/s and 0.22±0.10m/s during inspiration and expiration, respectively. ENS-IT: Streamlines were less organized with new vortexes shown near the bottom wall. The airflow rates passing through the nasal olfactory area decreased by 26.27%±8.68% and 13.18%±7.59% during inspiration and expiration, respectively. Wall shear stresses, nasal resistances and local velocities all decreased. Conclusion Our CFD simulation study suggests that the changes in nasal aerodynamics may play an essential role in the pathogenesis of ENS. An increased velocity around the sphenopalatine ganglion in the ENS-MT models could be responsible for headache in patients with ENS-MT. However, these results need to be validated in further studies with a larger sample size and more complicated calculating models.
Mixture model for image understanding and the EM algorithm

We present a mixture model that can be applied to the recognition of multiple objects in an image plane. The model consists of any shape of submodules. Each submodule is a probability density function of data points with scale and shift parameters, and the modules are combined with weight probabilities. We present the EM (Expectation-Maximization) algorithm to estimate those parameters. We also modify the algorithm in the case that data points are restricted in an attention window. Mathematical Informatics Section
Wireless Content Caching for Small Cell and D2D Networks

The fifth generation wireless networks must provide fast and reliable connectivity while coping with the ongoing traffic growth. It is of paramount importance that the required resources, such as energy and bandwidth, do not scale with traffic. While the aggregate network traffic is growing at an unprecedented rate, users tend to request the same popular contents at different time instants. Therefore, caching the most popular contents at the network edge is a promising solution to reduce the traffic and the energy consumption over the backhaul links. In this paper, two scenarios are considered, where caching is performed either at a small base station, or directly at the user terminals, which communicate using Device-to-Device (D2D) communications. In both scenarios, joint design of the transmission and caching policies is studied when the user demands are known in advance. This joint design offers two different caching gains, namely, the pre-downloading and local caching gains. It is shown that the finite cache capacity limits the attainable gains, and creates an inherent tradeoff between the two types of gains. In this context, a continuous time optimization problem is formulated to determine the optimal transmission and caching policies that minimize a generic cost function, such as energy, bandwidth, or throughput. The jointly optimal solution is obtained by demonstrating that caching files at a constant rate is optimal, which allows reformulation of the problem as a finite-dimensional convex program. The numerical results show that the proposed joint transmission and caching policy dramatically reduces the total cost, which is particularised to the total energy consumption at the Macro Base Station (MBS), as well as to the total economical cost for the service provider, when users demand economical incentives for delivering content to other users over the D2D links.