Miracle-dz/UniFAR-FTUs huggingface dataset:
A Nonlinear Dynamic Systems Model of Psychotherapy: First Steps Toward Validation and the Role of External Input.

Mathematical modeling and computer simulations are important means to understand the mechanisms of psychotherapy. The challenge is to design models which not only predict outcome, but simulate the nonlinear trajectories of change. Another challenge is to validate them with empirical data. We proposed a model on change dynamics which integrates five variables (order parameters) (therapeutic progress or success, motivation for change, problem severity, emotions, and insight) and four control parameters (capacity to enter a trustful cooperation and working alliance, cognitive competencies and mindfulness, hopefulness, behavioral resources). The control parameters modulate the nonlinear functions interrelating the variables. The evolution dynamics of the system is determined by a set of nine nonlinear difference equations, one for each variable and parameter. Here we outline how the model can be tested and validated by empirical time series data of the variables, by time series of the therapeutic alliance, and by assessing the input onto the system as it is perceived by the client. The parameters are measured by questionnaires at the beginning and at the end of the treatment. A key element of the validation algorithm is the adjustment of the parameter values as assessed by the questionnaires to model-specific parameter values by which the dynamics can be reproduced (calibration). The validation steps are illustrated by the data of a client who used an internet-based tool for high-frequency therapy monitoring (daily self-ratings). Especially after applying the input vector (interventions as experienced by the client) the similarity between the empirical and the model dynamics becomes evident. The averaged correlation between the empirical and the simulated dynamics across all variables is . 41, after applying a short averaging mean window and eliminating an initial transient period, it is . 62, varying between . 47 and . 81, depending on the variable. The discussion opens perspectives on the combination of mathematical modeling with real-time monitoring in order to realize data-driven simulations for short-term predictions and to estimate the effects of interventions before real interventions are applied.
Random Numbers Generation: Tests and Attacks

The generation of random numbers is a keystone function in any cryptographic protocol. Indeed, in a security context, the random numbers generation shall withstand assaults from adversaries. It is thus paramount to validate both its functionality and its robustness in front of attacks, including fault injection attacks. The verification implies tests, which shall thus be carried out in nominal but also in perturbed operational environments. In this paper, we review standard tests already existing and still under development. As a first contribution, we suggest a new kind of metrics to assess the quality of the random sequences of bits. As a second contribution, we analyse fault injections in true random number generators and explore whether such faulted behavior can be self-induced within the circuit itself. This analysis reveals a plausible interpretation of the behavior of circuits based on the analysis of long term noise, e.g., TRNGs based on ring oscillators.
Intrusion Detection using Decision Tree Model in High-Speed Environment

Due to the rise in the usage and speed of internet, the rate of data generated over the internet is enormously increasing. This growth also upturns the security threats on the enterprise network and the Internet. Detecting such intrusion in a high-speed network at realtime is a challenging task. Existing machine learning- based Intrusion Detection Systems (IDSs) are not able to perceive recent unknown attacks while working at high-speed networks. Therefore, to address these challenges, we propose a real-time intrusion detection system for the high-speed environment using decision tree-based classification model, i.e., C4.5, with a fewer number of flow features. The nine best features are selected amongst forty-one from KDD99 intrusion dataset using FSR and BER techniques. The accuracy of the proposed IDS is evaluated in terms of true positive (TP- more than 99%) and false positive (FP- less than 0.001 %), and efficiency in terms of processing time. The higher accuracy and efficiency make the system to be able to work in a real-time and high-speed environment.
Lumped Element Model of a Transdirectional Coupled Line Coupler

Trans directional coupled line couplers have gained a lot of attention due to their isolation between the input and output ports as compared with other traditional directional couplers. A novel fully lumped element model for the trans directional coupler with generic equations for a given coupling coefficient is presented. Capacitors are used to represent the coupling mechanism between the two coupled lines. A lumped element trans directional coupler design with 3 dB coupling will be presented and results given.
Cytotoxic Pathways in Allogeneic Hematopoietic Cell Transplantation

Allogeneic hematopoietic cell transplantation (allo-HCT) is a potentially curative treatment for hematologic malignancies, and other hematologic and immunologic diseases. Donor-derived immune cells identify and attack cancer cells in the patient producing a unique graft-vs.-tumor (GVT) effect. This beneficial response renders allo-HCT one of the most effective forms of tumor immunotherapy. However, alloreactive donor T cells can damage normal host cells thereby causing graft-vs.-host disease (GVHD), which results in substantial morbidity and mortality. To date, GVHD remains as the major obstacle for more successful application of allo-HCT. Of special significance in this context are a number of cytotoxic pathways that are involved in GVHD and GVT response as well as donor cell engraftment. In this review, we summarize progress in the investigation of these cytotoxic pathways, including Fas/Fas ligand (FasL), perforin/granzyme, and cytokine pathways. Many studies have delineated their distinct operating mechanisms and how they are involved in the complex cellular interactions amongst donor, host, tumor, and infectious pathogens. Driven by progressing elucidation of their contributions in immune reconstitution and regulation, various interventional strategies targeting these pathways have entered translational stages with aims to improve the effectiveness of allo-HCT.
Identification of Dynamic Parameters for Gene Networks

The study of gene networks allows us to better understand some biological processes such as the adaptation of the organism to a disturbance of the environment. In a discrete modelling framework of gene networks, it has been shown that the Hoare logic can help the modeller to identify the parameters of the model, so that the latter exhibits the observed biological traces. In this paper we present a hybrid modelling of gene networks which pays particular attention to the time spent in each state and we introduce an extension of the Hoare logic in this hybrid framework. The weakest precondition calculus associated with this modified Hoare logic makes it possible to determine the minimal constraints on the dynamic parameters of a gene network from an observed biological trace. These constraints form a continuous CSP that can be solved using the AbSolute continuous solver. The first experimental results show that the obtained solutions are in agreement with the specification of the Hoare triple coming from biological expertise.
Detecting and Analyzing Anomalies Across Historical Data Changes: A Data-Driven Approach

The history of data changes can yield information about the nature of the change processes. Often, data evolve according to rules and constraints, making it possible to identify a profile of evolution: the values a data item assumes over time, the frequencies at which it changes, the temporal variation in relation to other data, or other constraints that are directly connected to the reference domain. A violation of these rules could be the signal of different menaces that threat the system, including: attempts of a tampering or a cyber attack, a failure in the operation of the system, a bug in the applications which manage the lifecycle of data. Detecting such violations is not straightforward, as rules could be unknown or hard to extract. In this paper we propose an approach to extract the legal or expected evolution of a database, by observing it in a frame of its lifecycle. The obtained profile of evolution is then used to detect anomalies in the database state evolution. The approach has been validated by an experiment that produced encouraging outcomes about its precision and efficacy.
Translating the application of transforming growth factor‐β1, chondroitinase‐ABC, and lysyl oxidase‐like 2 for mechanically robust tissue‐engineered human neocartilage

Strategies to overcome the limited availability of human articular chondrocytes and their tendency to dedifferentiate during expansion are required to advance their clinical use and to engineer functional cartilage on par with native articular cartilage. This work sought to determine whether a biochemical factor (transforming growth factor‐β1 [T]), a biophysical agent (chondroitinase‐ABC [C]), and a collagen crosslinking enzyme (lysyl oxidase‐like 2 [L]) are efficacious in forming three‐dimensional human neocartilage from expanded human articular chondrocytes. Among the treatment regimens, the combination of the three stimuli (TCL treatment) led to the most robust glycosaminoglycan content, total collagen content, and type II collagen production. In particular, TCL treatment synergistically increased tensile stiffness and strength of human neocartilage by 3.5‐fold and 3‐fold, respectively, over controls. Applied to two additional donors, the beneficial effects of TCL treatment appear to be donor independent; tensile stiffness and strength were increased by up to 8.5‐fold and 3‐fold, respectively, over controls. The maturation of human neocartilage in response to TCL treatment was examined following 5 and 8 weeks of culture, demonstrating maintenance or further enhancement of functional properties. The present study identifies a novel strategy for engineering human articular cartilage using serially passaged chondrocytes.
Thermodynamics and Cosmic Censorship Conjecture in Kerr–Newman–de Sitter Black Hole

We investigate the laws of thermodynamics and the validity of the cosmic censorship conjecture in the Kerr–Newman–de Sitter black hole under charged particle absorption. Here, the black hole undergoes infinitesimal changes because of the momenta carried by the particle entering it. The cosmic censorship conjecture is tested by whether the black hole can be overcharged beyond the extremal condition under absorption. The changes in the black hole violate the second law of thermodynamics. Furthermore, this is related to the cosmic censorship conjecture. To resolve this violation, we impose a reference energy of the particle at the asymptotic region based on the first law of thermodynamics. Under imposition of the reference energy, the absorption satisfies the laws of thermodynamics, and the extremal black hole cannot be overcharged. Thus, the cosmic censorship conjecture is valid under the absorption.
Functional reconstitution of the type IVa pilus assembly system from enterohaemorrhagic Escherichia coli

Type 4a pili (T4aP) are long, thin and dynamic fibres displayed on the surface of diverse bacteria promoting adherence, motility and transport functions. Genomes of many Enterobacteriaceae contain conserved gene clusters encoding putative T4aP assembly systems. However, their expression has been observed only in few strains including Enterohaemorrhagic Escherichia coli (EHEC) and their inducers remain unknown. Here we used EHEC genomic DNA as a template to amplify and assemble an artificial operon composed of four gene clusters encoding 13 pilus assembly proteins. Controlled expressions of this operon in nonpathogenic E. coli strains led to efficient assembly of T4aP composed of the major pilin PpdD, as shown by shearing assays and immunofluorescence microscopy. When compared with PpdD pili assembled in a heterologous Klebsiella T2SS type 2 secretion system (T2SS) by using cryo‐electron microscopy (cryoEM), these pili showed indistinguishable helical parameters, emphasizing that major pilins are the principal determinants of the fibre structure. Bacterial two‐hybrid analysis identified several interactions of PpdD with T4aP assembly proteins, and with components of the T2SS that allow for heterologous fibre assembly. These studies lay ground for further characterization of the T4aP structure, function and biogenesis in enterobacteria.
A Tri-Band SRR Loaded Half Slot Antenna with Wideband Properties

In this paper, a compact tri-band split ring resonator (SRR) loaded slot antenna is proposed which offers independent frequency tunability for operation at WLAN and WiMAX bands. The microstrip fed slot antenna is loaded with a modified SRR to obtain the triband resonance. The compactness is achieved by using an open slot antenna. The slot is designed to resonate at 2.4 GHz, which combines with the resonance obtained due to a fictitious short circuit produced at a certain point along the slot. This leads to the wideband property at the first band. The second and third resonances are obtained at 7.5 GHz and 9.3 GHz. The resonances can be independently controlled by changing the slot and SRR dimensions.
Corpus-Based Augmented Media Posts with Density-Based Clustering for Community Detection

This paper proposes a corpus-based media posts expansion technique with a density-based clustering method for community detection. To enrich the user content information, firstly all (short-text) media posts of a user are combined with hash tags and URLs available with the posts. The expanded content view is further augmented by the virtual words inferred using the novel concept of matrix factorization based topic proportion vector approximation. This expansion technique deals with the extreme sparseness of short text data which otherwise leads to insufficient word co-occurrence and, in hence, inaccurate outcome. We then propose to group these augmented posts which represent users by identifying the density patches and form user communities. The remaining isolated users are then assigned to communities to which they are found most similar using a distance measure. Experimental results using several Twitter datasets show that the proposed approach is able to deal with common issues attached with (short-text) media posts to form meaningful communities and attain high accuracy compared to relevant benchmarking methods.
RPG1-B-Derived Resistance to AvrB-Expressing Pseudomonas syringae Requires RIN4-Like Proteins in Soybean1[W][OA]

Soybean (Glycine max) RPG1-B (for resistance to Pseudomonas syringae pv glycinea) mediates species-specific resistance to P. syringae expressing the avirulence protein AvrB, similar to the nonorthologous RPM1 in Arabidopsis (Arabidopsis thaliana). RPM1-derived signaling is presumably induced upon AvrB-derived modification of the RPM1-interacting protein, RIN4 (for RPM1-interacting 4). We show that, similar to RPM1, RPG1-B does not directly interact with AvrB but associates with RIN4-like proteins from soybean. Unlike Arabidopsis, soybean contains at least four RIN4-like proteins (GmRIN4a to GmRIN4d). GmRIN4b, but not GmRIN4a, complements the Arabidopsis rin4 mutation. Both GmRIN4a and GmRIN4b bind AvrB, but only GmRIN4b binds RPG1-B. Silencing either GmRIN4a or GmRIN4b abrogates RPG1-B-derived resistance to P. syringae expressing AvrB. Binding studies show that GmRIN4b interacts with GmRIN4a as well as with two other AvrB/RPG1-B-interacting isoforms, GmRIN4c and GmRIN4d. The lack of functional redundancy among GmRIN4a and GmRIN4b and their abilities to interact with each other suggest that the two proteins might function as a heteromeric complex in mediating RPG1-B-derived resistance. Silencing GmRIN4a or GmRIN4b in rpg1-b plants enhances basal resistance to virulent strains of P. syringae and the oomycete Phytophthora sojae. Interestingly, GmRIN4a- or GmRIN4b-silenced rpg1-b plants respond differently to AvrB-expressing bacteria. Although both GmRIN4a and GmRIN4b function to monitor AvrB in the presence of RPG1-B, GmRIN4a, but not GmRIN4b, negatively regulates AvrB virulence activity in the absence of RPG1-B.
Multiresolution analysis for images with a resolution factor

J. C. FEAUVEAU LRI, Université de Paris Sud, 91405 ORSAY CEDEX, FRANCE . Thomson CSF, 1 rue des Mathurins, 92223 BAGNEUX, FRANCE . Ancien élève de l'École Normale Supérieure, Agrégé de Mathématiques (1987) . Docteur de l'Université Paris Sud spécialité Informatique (1990) . Domaine de recherche : application des techniques d'analyse multirésolution à la compression et à la segmentation d'image, théorie des ondelettes, réseaux connexionnistes .
Doxycyclin induces p 53 expression in SaOs ( osteosarcoma ) cell line

The p53 tumour suppressor gene plays an important r ole in preventing cancer development. This study determined if p53 can be induced in osteosarcoma ce ll lin upon treatment with Doxycyline. It was demonstrated that induction of p53 resulted in the in ibition of the cyclin E/CDK2 complexes by the act iva ion of p21. This mechanism could potentially therefore represent an important component of the p53 tumor suppressor pathway. © 2015 International Formulae Group. All rights res erved.
Measurement of seagrass production using the 13C stable isotope compared with classical O2 and 14C methods

The methods currently employed for seagrass production estimates include biomass, marking and metabolic techniques, the latter including the O-2 and C-14 methods. Both are currently in general use and have generated a great deal of seagrass-production data. In this work, we measured carbon incorporation rates in Zostera marina L. using the stable carbon isotope C-13 as a metabolic tracer. We tried this method in an attempt to overcome the 2 major methodological problems of the O-2 and C-14 methods, i.e. the limitations when measuring low production rates and the hazardous and laborious handling of radioactive isotopes, respectively. To validate the C-13 method we compared it with the classical O-2 and C-14 methods in microcosm experiments. The 2 carbon-tracer techniques were in overall good agreement (C-13 = 0.12 + 1.03 X C-14; R-2 = 0.964, p <0.001, n = 10). Production rates derived from the C-13 method were on average 1.34 +/- 0.03 (n = 42) times higher than those obtained with the O-2 method (C-13 = 0.99 + 1.15 X O-2; R-2 = 0,788, p <0.001, n = 42), suggesting that for short incubation lengths (in this study between 0.5 and 4.0 h) the C-13 method provides estimates very close to gross production. The pros and cons of all 3 methods are critically discussed. [KEYWORDS: seagrass production; Zostera marina; stable carbon isotopes; O-2 method; C-14 method; C-13 method Zostera-marina l; saline lake grevelingen; photosynthetic utilization; carbon uptake; phytoplankton; eelgrass; community; growth; light; macrophytes]
Kinematics of the outer halo of M 87 as mapped by planetary nebulae

Aims. We present a kinematic study of a sample of 298 planetary nebulas (PNs) in the outer halo of the central Virgo galaxy M 87 (NGC 4486). The line-of-sight velocities of these PNs are used to identify subcomponents, to measure the angular momentum content of the main M 87 halo, and to constrain the orbital distribution of the stars at these large radii. Methods. We use Gaussian mixture modelling to statistically separate distinct velocity components and identify the M 87 smooth halo component, its unrelaxed substructures, and the intra-cluster (IC) PNs. We compute probability weighted velocity and velocity dispersion maps for the smooth halo, and its specific angular momentum profile (λR) and velocity dispersion profile. Results. The classification of the PNs into smooth halo and ICPNs is supported by their different PN luminosity functions. Based on a Kolmogorov–Smirnov (K–S) test, we conclude that the ICPN line-of-sight velocity distribution (LOSVD) is consistent with the LOSVD of the galaxies in Virgo subcluster A. The surface density profile of the ICPNS at 100 kpc radii has a shallow logarithmic slope, −αICL ≃ −0.8, dominating the light at the largest radii. Previous B − V colour and resolved star metallicity data indicate masses for the ICPN progenitor galaxies of a few ×108 M⊙. The angular momentum-related λR profile for the smooth halo remains below 0.1, in the slow rotator regime, out to 135 kpc average ellipse radius (170 kpc major axis distance). Combining the PN velocity dispersion measurements for the M 87 halo with literature data in the central 15 kpc, we obtain a complete velocity dispersion profile out to Ravg = 135 kpc. The σhalo profile decreases from the central 400 km s−1 to about 270 km s−1 at 2–10 kpc, then rises again to ≃300 ± 50 km s−1 at 50–70 kpc, to finally decrease sharply to σhalo ∼ 100 km s−1 at Ravg = 135 kpc. The steeply decreasing outer σhalo profile and the surface density profile of the smooth halo can be reconciled with the circular velocity curve inferred from assuming hydrostatic equilibrium for the hot X-ray gas. Because this rises to νc,X ∼ km s−1 at 200 kpc, the orbit distribution of the smooth M 87 halo is required to change strongly from approximately isotropic within Ravg ∼ 60 kpc to very radially anisotropic at the largest distances probed. Conclusions. The extended LOSVD of the PNs in the M 87 halo allows the identification of several subcomponents: the ICPNs, the “crown” accretion event, and the smooth M 87 halo. In galaxies like M 87, the presence of these subcomponents needs to be taken into account to avoid systematic biases in estimating the total enclosed mass. The dynamical structure inferred from the velocity dispersion profile indicates that the smooth halo of M 87 steepens beyond Ravg = 60 kpc and becomes strongly radially anisotropic, and that the velocity dispersion profile is consistent with the X-ray circular velocity curve at these radii without non-thermal pressure effects.
Automatic Road Traffic Density Estimation using Image Processing Algorithms

In the modern world, urban centres are growing at a very high rate. Growing with them is road traffic congestion. Traffic jams, especially at peak hours, have become routine. As a result, traffic management is one of the most pressing issues in today’s towns. Several alternatives are being sought to deal with the problem. These include: expansion of road networks, regulating the number of vehicles on the roads, and deployment of Intelligent Transportation Systems (ITSs). Other than the ITSs, the other alternatives (however effective) have many practical challenges in their implementation. ITSs are based on a wide range of technologies such as loop sensors and video surveillance systems. Vision based ITSs have proved advantageous over the traditional methods based on loop sensors. In these modern systems, video surveillance cameras are installed along the roads and road intersections where they are used to collect traffic data. The data is then analysed to obtain traffic parameters such as the road traffic density. In this paper, a simple and elegant approach for estimating the road traffic density during daytime using image processing and computer vision algorithms is presented. The video data collected is first broken down into frames which are then pre-processed in a series of steps. Finally, the vehicles are detected and extracted from the images and counted. Then the traffic density is obtained as the number of vehicles per unit area of the road section. The proposed approach was implemented in MATLAB R2015a and average vehicle detection accuracies of 96.0% and 82.1% were achieved for fast moving and slow moving traffic scenes respectively.