Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliable protection against session fixation attacks

The term 'Session Fixation vulnerability' subsumes issues in Web applications that under certain circumstances enable the adversary to perform a Session Hijacking attack through controlling the victim's session identifier value. A successful attack allows the attacker to fully impersonate the victim towards the vulnerable Web application. We analyse the vulnerability pattern and identify its root cause in the separation of concerns between the application logic, which is responsible for the authentication processes, and the framework support, which handles the task of session tracking. Based on this result, we present and discuss three distinct server-side measures for mitigating Session Fixation vulnerabilities. Each of our countermeasures is tailored to suit a specific real-life scenario that might be encountered by the operator of a vulnerable Web application.
Extension of an automatic building extraction technique to airborne laser scanner data containing damaged buildings

Airborne laser scanning systems generate 3-dimensional point clouds of high density and irregular spacing. These data consist of multiple returns coming from terrain, buildings, and vegetation. The major difficulty is the extraction of object categories, usually buildings. In the field of disaster management, the detection of building damages plays an important role. Therefore, the question arises, if damaged buildings can also be detected by a method developed for the automatic extraction of buildings. Another purpose of this study is to extend and test an automatic building detection method developed initially for first echo laser scanner data on data captured in first and last echo. In order to answer these two questions, two institutes share their data and knowledge: the Institute of Photogrammetry and Remote Sensing (IPF, Universitat Karlsruhe (TH), Germany) and the MAP-PAGE team (INSA de Strasbourg, France). The used 3D LIDAR data was captured over an area containing undamaged and damaged buildings. The results achieved for every single processing step by applying the original and the extended algorithm to the data are presented, analysed and compared. It is pointed out which buildings can be extracted by which algorithm and why some buildings remain undetected
Epigraphical cones I

Up to orthogonal transformation, a solid closed convex cone K in the Euclidean space Rn+1 is the epigraph of a nonnegative sublinear function f : Rn → R. This work explores the link between the geometric properties of K and the analytic properties of f . Mathematics Subject Classification: 46B10, 46B20, 52A41.
The Role of Fingerprints in the Coding of Tactile Information Probed with a Biomimetic Sensor

In humans, the tactile perception of fine textures (spatial scale <200 micrometers) is mediated by skin vibrations generated as the finger scans the surface. To establish the relationship between texture characteristics and subcutaneous vibrations, a biomimetic tactile sensor has been designed whose dimensions match those of the fingertip. When the sensor surface is patterned with parallel ridges mimicking the fingerprints, the spectrum of vibrations elicited by randomly textured substrates is dominated by one frequency set by the ratio of the scanning speed to the interridge distance. For human touch, this frequency falls within the optimal range of sensitivity of Pacinian afferents, which mediate the coding of fine textures. Thus, fingerprints may perform spectral selection and amplification of tactile information that facilitate its processing by specific mechanoreceptors.
Smart Environment Effect on Running Logarithmic - Based Model of Emergency Demand Response Programs in Electricity Markets

The deregulation of power system has introduced new challenges in the field of power system utilization. The main goal of deregul ation can be summarized as defining a competitive market for maximizing the overall social welfare while maintaining power system reliability. The consumers have a vital role in new electricity market because their offer in pool markets has a great effect on power system operation. Therefore, it is necessary to modeling demand - side responses in electricity market. A new model for demand - side should be capable of considering the objectives and interests of each stakeholder and also should be based on technic al and economical analysis. Demand response programs (DRPs) are new tools to analysis effect of demand - side in electricity markets. The results of such programs are improvement of some technical and economical characteristic of power system. DRPs are divid ed into two categories which are priced - based and incentive - based demand response programs. The goal of this paper is logarithmic modeling of emergency demand response programs (EDRP) as incentive - based DRPs . In Regard to this purpose, nonlinear behavioral characteristic of elastic loads is considered which causes to more realistic modeling of demand response to EDRP rates. To demonstrate the validity of the proposed technique, a real world power system is considered as test system. Where, Iranian power sys tem is investigated . Simulation results emphasis on the effectiveness impact of running EDRP programs using proposed logarithmic model on load profile of the peak day of the proposed power system. ( Mehdi Nikzad, Shoorangiz Shams Shamsabad Farahani, Mohamm ad Bigdeli Tabar , Hossein Tourang, Behrang Yousefpour . Smart Environment Effect on Running Logarithmic - Based Model of Emergency Demand Response Programs in Electricity Markets . Life Sci J 2012;9(4): 50 1 3 - 50 1 8 ) (ISSN:1097 - 8135). http://www.lifesciencesite. com . 751
Mechanisms for Quasi-Stationary Behavior in Simulated Heavy-Rain-Producing Convective Systems

Abstract In this study, idealized numerical simulations are used to identify the processes responsible for initiating, organizing, and maintaining quasi-stationary convective systems that produce locally extreme rainfall amounts. Of particular interest are those convective systems that have been observed to occur near mesoscale convective vortices (MCVs) and other midlevel circulations. To simulate the lifting associated with such circulations, a low-level momentum forcing is applied to an initial state that is representative of observed extreme rain events. The initial vertical wind profile includes a sharp reversal of the vertical wind shear with height, indicative of observed low-level jets. Deep moist convection initiates within the region of mesoscale lifting, and the resulting convective system replicates many of the features of observed systems. The low-level thermodynamic environment is nearly saturated, which is not conducive to the production of a strong surface cold pool; yet the convection qui.
The Luminosities and Distance Scales of Type II Cepheid and RR Lyrae variables

Infrared and optical absolute magnitudes are derived for the type II Cepheids K Pav and VY Pyx using revised Hipparcos parallaxes and for K Pav, V553 Cen and SW Tau from pulsational parallaxes. Revised Hipparcos and HST parallaxes for RR Lyrae agree satisfactorily and are combined in deriving absolute magnitudes. Phase-corrected J, H and K s mags are given for 142 Hipparcos RR Lyraes based on Two-Micron All-Sky Survey observations. Pulsation and trigonometrical parallaxes for classical Cepheids are compared to establish the best value for the projection factor (p) used in pulsational analyses. The M v of RR Lyrae itself is 0.16 ± 0.12 mag brighter than predicted from an M v -[Fe/H] relation based on RR Lyrae stars in the Large Magellanic Cloud (LMC) at a modulus of 18.39 ± 0.05 as found from classical Cepheids. This is consistent with the prediction of Catelan & Cortes that it is overluminous for its metallicity. The M Ks results for the metal- and carbon-rich Galactic disc stars, V553 Cen and SW Tau, each with small internal errors (±0.08 mag) have a mean deviation of only 0.02 mag from the period-luminosity (PL) relation established by Matsunaga et al. for type II Cepheids in globular clusters and with a zero-point based on the same LMC-scale. Comparing directly the luminosities of these two stars with published data on type II Cepheids in the LMC and in the Galactic bulge leads to an LMC modulus of 18.37 ± 0.09 and a distance to the Galactic Centre of R 0 = 7.64 ± 0.21 kpc. The data for VY Pyx agree with these results within the uncertainties set by its parallax. Evidence is presented that K Pav may have a close companion and possible implications of this are discussed. If the pulsational parallax of this star is incorporated in the analyses, the distance scales just discussed will be increased by ∼0.15 ± 0.15 mag. V553 Cen and SW Tau show that at optical wavelengths PL relations are wider for field stars than for those in globular clusters. This is probably due to a narrower range of masses in the latter case.
Supporting secure collaborative computing in grid environments

In grid environments, the dynamic and multi-institutional nature introduces challenging security issues. In this paper, we propose subtask-based authorization service (SAS) architecture to fully secure a type of application oriented to engineering and scientific computing. We minimize privileges for task by decomposing the parallel task and re-allotting the privileges required for each subtask. Community authorization module describes and applies community policies of resource permission and privilege for resource usage or task management. It separates proxy credentials from identity credentials. We adopt a relevant policy and task management delegation to describe rules for task management. The ultimate privileges are formed by the combination of relevant proxy credential, subtask-level privilege certificate and community policy for this user, as well as they conform to resource policy. To enforce the architecture, we extend the RSL specification and the proxy certificate, modify Globus' gatekeeper, jobmanager and the GASS library to allow authorization callouts, and evaluate the user's job management requests and job's resource request in the context of policies.
FiGD: An Open Source Intellectual Property Violation Detector

FiGD (Fingerprint Generator/Detector) is an open source Java application capable of detecting intellectual property violations in compiled Java programs without requiring access to the original source files. FiGD uses a modification of the n! gram method which is very accurate in discovering everything from blatantly copied source, to more advanced attempts of obfuscation (such as variable refactoring or white-space insertions). Our improvements to the algorithm allow us to increase the speed of detection and create small fingerprints which can be stored for future comparisons.
Online speaker diarization with a size-monitored growing neural gas algorithm

This paper proposes a method for segmenting and clus- tering an audio flow on the basis of speaker turns. This process, also known as speaker diarization, is of major importance in multimedia in- dexation. Here, we propose to realize this process online and without any prior knowledge on the number of speakers. This is done thanks to a sta- tistical modelling of speakers based on a size-monitored growing neural gas algorithm.
Polymorphisms in thymidylate synthase and reduced folate carrier (SLC19A1) genes predict survival outcome in advanced non-small cell lung cancer patients treated with pemetrexed-based chemotherapy

The aim of this study was to evaluate the association between thymidylate synthase (TS), methylenetetrahydrofolate reductase (MTHFR) and reduced folate carrier (SLC19A1) gene polymorphisms and the treatment efficacy of pemetrexed-based chemotherapy in advanced non-small cell lung cancer (NSCLC). Advanced NSCLC patients received pemetrexed and cisplatin every three weeks. Polymorphisms in the TS, MTHFR and SLC19A1 genes were detected in peripheral blood samples using DNA sequencing and Taqman PCR. An analysis of gene polymorphisms was performed with respect to the progression-free survival (PFS), response rate (RR) and overall survival (OS) of patients treated with pemetrexed. The median PFS times for patients with the TS 2R/2R, 2R/3C or 3C/3C genotypes were significantly longer than those of patients with the 2R/3G, 3C/3G or 3G/3G genotypes (P=0.036). Patients with the SLC19A1 CC genotype had a significantly longer median OS compared with individuals with the homozygous and heterozygous genotypes (12.2 vs. 8.9 and 7.3 months, respectively; P=0.022). The PFS and OS did not differ for the three genotypes of MTHFR assessed. The RR was higher in patients with the TS 2R/2R, 2R/3C or 3C/3C genotypes than in the other groups (P=0.044). The polymorphisms of the 5′-UTR of the TS gene and exon 6 (2522) C/T of the SLC19A1 gene predict the survival of advanced NSCLC patients treated with pemetrexed. However, a large scale clinical trial is required to validate these findings.
Using a continuum model to predict closure time of gaps in intestinal epithelial cell layers

A two‐dimensional continuum model of collective cell migration is used to predict the closure of gaps in intestinal epithelial cell layers. The model assumes that cell migration is governed by lamellipodia formation, cell–cell adhesion, and cell–substrate adhesion. Model predictions of the gap edge position and complete gap closure time are compared with experimental measures from cell layer scratch assays (also called scratch wound assays). The goal of the study is to combine experimental observations with mathematical descriptions of cell motion to identify effects of gap shape and area on closure time and to propose a method that uses a simple measure (e.g., area) to predict overall gap closure time early in the closure process. Gap closure time is shown to increase linearly with increasing gap area; however, gaps of equal areas but different aspect ratios differ greatly in healing time. Previous methods that calculate overall healing time according to the absolute or percent change in gap area assume that the gap area changes at a constant rate and typically underestimate gap closure time. In this study, data from scratch assays suggest that the rate of change of area is proportional to the first power or square root power of area.
Rotating states for trapped bosons in an optical lattice

Rotational states for trapped bosons in an optical lattice are studied in the framework of the Hubbard model. Critical frequencies are calculated and the main parameter regimes are identified. Transitions are observed from edge superfluids to vortex lattices with Mott insulating cores, and subsequently to lattices of interstitial vortices. The former transition coincides with the Mott transition. Changes in symmetry of the vortex lattices are observed as a function of lattice depth. Predictions for experimental signatures are presented.
A Note on the Eigenvalues of the Google Matrix

The Google matrix is a positive, column-stochastic matrix that is used to compute the pagerank of all the web pages on the Internet: the eigenvector corresponding to the eigenvalue 1 is the pagerank vector. Due to its huge dimension, of the order of billions, the (presently) only viable method to compute the eigenvector is the power method. For the convergence of the iteration, it is essential to know the eigenvalue distribution of the matrix. A theorem concerning the eigenvalues was recently proved by Langville and Meyer. In this note another proof is given.
Compressed sensing based low-complexity moible radio OFDM systems with pre-equalization

Over the last few years, the increasing power consumption on mobile terminal has been popularly followed with researchers' interest. However, in order to improve the data rate and keep robust communication, the increasing complexity on both algorithms and system structures makes the power problem more serious. In this paper, we provide a low-complexity mobile radio system structure for Orthogonal Frequency Division Multiplexing (OFDM) that eliminates the channel estimation and equalization processing instead of compressed sensing (CS) based pre-equalization. Exploiting the feedback of repeated pilot signal, we recover the channel state information at the transmitter and previously distort the source signal to resist the multipath interference. Simulation shows that the low-complexity wireless system has the similar performance.
Wi-Fi Fingerprint localisation using Density-based Clustering for public spaces: A case study in a shopping mall

Indoor localisation is to-date still an active research area. This paper presents a case study on a localisation technique using Wi-Fi fingerprints built from radio information collected using commercially-off-the-shelf smartphones. The Wi-Fi fingerprints are built using density-based clustering-based algorithms. The investigation is carried out on normal operation scenarios, where a normal crowd was present during the experiments. A simplified version of the clustering algorithm, the Simplified Fingerprint Density-based Clustering Algorithm (SFDCA), is proposed, implemented as well as evaluated with a comparison to an existing indoor localisation algorithm called Density-based Cluster Combined Algorithm (DCCLA). Furthermore, a few changes are proposed and evaluated for the recognition algorithm. This paper discusses the obtained results, observations and issues faced in the case study.
WDM Network Design by ILP Models Based on Flow Aggregation

Planning and optimization of WDM networks has raised much interest among the research community in the last years. Integer linear programming (ILP) is the most used exact method to perform this task and many studies have been published concerning this issue. Unfortunately, many works have shown that, even for small networks, the ILP formulations can easily overwhelm the capabilities of today state-of-the-art computing facilities. So in this paper we focus our attention on ILP model computational efficiency in order to provide a more effective tool in view of direct planning or other benchmarking applications. Our formulation exploits flow aggregation and consists in a new ILP formulation that allows us to reach optimal solutions with less computational effort compared to other ILP approaches. This formulation applies to multifiber mesh networks with or without wavelength conversion. After presenting the formulation we discuss the results obtained in the optimization of case-study networks.
Alarm correlation

The authors discuss the development of an alarm correlation model and a corresponding software support system that allow efficient specification of alarm correlation by the domain experts themselves. Emphasis is placed on the end-user orientation of IMPACT, the intelligent management platform for alarm correlation tasks which implements the proposed model. The desire was to lower the barrier between the network management application development process and the end user of the application, the network management personnel. IMPACT is a step towards this goal. The proposed alarm correlation model was used for three purposes: intelligent alarm filtering, alarm generalization and fault diagnosis. <<ETX>>
On the Spiht-Based Multispectral Image Compression

In multispectral image compression, it has been recently shown that 3D-SPIHT (set partitioning in hierarchical trees) outperforms the benchmark JPEG-2000 multi-components. Despite the fact that the extended SPIHT algorithm to 3D provides the obvious way to process a multispectral image as a volumetric block and; consequently, maintains the attractive properties exhibited in 2D (good performance, low complexity and embeddedness), the adopted 3D trees structure still lacks in efficiency when applied to 3D wavelet transformed (DWT) multispectral images. Indeed, because of the texture nature of the spatial information content and the variety of frequency ranges in the consecutive bands, significant coefficients are more likely to be found in the high frequency wavelet subbands along both the spatial and spectral directions, especially when the value of the threshold decreases. As a consequence, the fact that each parent has 8 children in the 3D structure of SPIHT makes the list of insignificant sets (LIS) and the list of insignificant pixels (LIP) dramatically grow since each set is split producing 8 other sub-sets in case the parent has at least one non direct descendant significant with respect to the current threshold during the sorting pass. Thus, a large amount of bits is wastedly spent to sort the insignificant information. This paper discusses the use of 3D-SPIHT for multispectral images through an investigation based on results analysis. Then, we demonstrate that a straightforward 2D-SPIHT technique, suitably adjusted to maintain the scalability and carried out in the 3D-DWT domain, surprisingly yields a better performance
Genome Sequencing of Xanthomonas vasicola Pathovar vasculorum Reveals Variation in Plasmids and Genes Encoding Lipopolysaccharide Synthesis, Type-IV Pilus and Type-III Secretion Effectors

Xanthomonas vasicola pathovar vasculorum (Xvv) is the bacterial agent causing gumming disease in sugarcane. Here, we compare complete genome sequences for five isolates of Xvv originating from sugarcane and one from maize. This identified two distinct types of lipopolysaccharide synthesis gene clusters among Xvv isolates: one is similar to that of Xanthomonas axonopodis pathovar citri (Xac) and is probably the ancestral type, while the other is similar to those of the sugarcane-inhabiting species, Xanthomonas sacchari. Four of six Xvv isolates harboured sequences similar to the Xac plasmid, pXAC47, and showed a distinct Type-IV pilus (T4P) sequence type, whereas the T4P locus of the other two isolates resembled that of the closely related banana pathogen, Xanthomonas campestris pathovar musacearum (Xcm). The Xvv isolate from maize has lost a gene encoding a homologue of the virulence effector, xopAF, which was present in all five of the sugarcane isolates, while xopL contained a premature stop codon in four out of six isolates. These findings shed new light on evolutionary events since the divergence of Xvv and Xcm, as well as further elucidating the relationships between the two closely related pathogens.
Tau Oligomers as Potential Drug Target for Alzheimer Disease (AD) Treatment

The microtubule-associated protein tau is required for microtubule assembly, axonal transport, neurite outgrowth, and stability of microtubules (Binder et al. 1985). Tau selfassembly, aggregation, and accumulation in neurofibrillary tangles (NFTs) are major pathological hallmarks of Alzheimer disease (AD) and other neurodegenerative diseases (Lee et al. 2001, Alonso et al. 2008). Although the importance of tau in AD and other tauopathies is well established (Iqbal et al. 2009, Ballatore et al. 2007, Haroutunian et al. 2007) still unanswered is whether NFTs are the primary neurotoxic factor (Brunden et al. 2008, Marx 2007, Kayed & Jackson 2009). Despite the poor correlation between NFTs and disease progression, and evidence showing, that neuronal loss in AD actually precedes NFTs formation research until recently focused on them and other large meta-stable inclusions composed of aggregated hyperphosphorylated tau protein. Lately, the significance and toxicity of NFTs have been challenged and new aggregated tau entity has emerged as the true pathogenic species in tauopathies and a possible mediator of A┚ toxicity in AD. Tau intermediate aggregate (tau oligomers; aggregates of an intermediate that is between monomers and NFTs in size) can cause neurodegeneration and memory impairment in the absence of A┚. This exciting body of evidence includes results from human brain samples, transgenic mouse and cell-based studies, thus tau oligomers present a new and novel drug target for AD treatment. In this chapter, we summarize the characterization and toxicity of tau oligomers; discuss the evidence supporting their critical role in AD pathogenesis, and the potential and challenges for targeting them by immunotherapy and drug discovery as a novel approach for AD treatment