Miracle-dz/UniFAR-FTUs huggingface dataset:
Biodiversity of the oak groves of the Tlemcen Mountains, Algeria. Phytoecological aspects

: The objective of this study is to know the influence of environmental conditions on the distribution of oak species in the Tlemcen Mountains. We made a bioclimatic and floristic study on four stations located on the mountain ranges of the Tlemcen Mountains. This study was carried out, taking into account the ecological aspect oriented towards the presence of oak species within the four study stations. The main ecological gradients governing the ecological trends of oak forests in this area have been characterized. The ecological dynamics of oak taxa within the local floristic procession for each station was analyzed by Mintab 16 software according to factorial discrimination of correspondences (A.FC), which led us to highlight the most influential ecological gradients. maritima, Cistus
or Major Myelin Antigenic Specificity System-Infiltrating CTLs with no Apparent Viral Susceptible Mice Induces Central Nervous Theiler's Virus Infection of Genetically

2 † Intracranial infection of susceptible mice with Theiler’s virus results in persistent infection and spinal cord demyelination similar to human multiple sclerosis. While central nervous system inﬁltrating lymphocytes (CNS-ILs) in these mice display no virus-speciﬁc CTL activity, the cells were found to be activated killers using a speciﬁcity-independent assay. We previously demonstrated that the depletion of T cells in persistently infected mice signiﬁcantly decreases demyelinating disease. Consequently, we have investigated the killing pathways employed by CNS-ILs that are isolated from persistently infected animals, the relative contri-bution of CD4 and CD8 cells in the generation of these CTLs, and the reactivity of this cell population to two putative autoantigens in the CNS. In vitro or in vivo manipulation of T cell populations using Abs or genetic knockout strategies demonstrate that the cytotoxic activity is primarily mediated by CD8 1 T cells, and that perforin is an important molecule in the effector pathway. Since effector functions in infected mice were not inhibited by the depletion of CD4 cells with mAb but was blocked genetically in CD4 knockout mice, CD4 1 T cells appear to play a helper role in the generation of CD8 1 CTLs. We found no evidence of autoimmune-mediated demyelination, as the CD8 1 CTLs were not reactive to two major myelin autoantigens, myelin basic protein and proteolipid protein. Our ﬁnding that CNS-ILs that are isolated from mice susceptible to persistent virus infection are neither speciﬁc for virus or myelin autoantigens is consistent with the possibility that CD8 1 CTLs mediate CNS damage as a result of nonspeciﬁc activation by virus. The Journal of Immunology, 1998, 160: 5661–5668. haplotype is a natural recombinant which included the H-2D d gene. Ad- ditional evidence that this is in fact the case comes from a variety of studies. Nine mAbs (four of which are speciﬁc for L d and ﬁve of which are speciﬁc for D d ) all react strongly with H-2 u -expressing spleen cells (our unpublished observations) (16). This ﬁnding indicates that H-2 u shares the duplicated D -region gene structure with H-2 d and expresses two molecules that are indistinguishable from D d and L d based on 10 serologically deﬁned epitopes. A complementation skin graft analysis using recombinants (B10.RUB1 and B10.RUB2, both K u /D b in genotype, from the mouse col- ony of Dr. C. David, personal communication) demonstrated that hybrid mice comprised of (recombinant 3 H-2 d )F 1 mice accept skin grafts from H-2 u mice. This is clear evidence that the D region class I Ag-presenting molecules encoded by H-2 u are identical with those found in H-2 d from the perspective of T cells. Finally, previous investigations have shown that H-2 u -restricted T cells recognize viral Ags presented by P815 cells (17). Therefore, it is logical to expect the H-2D and L molecules of P815 to present appropriate peptide Ags to PL/J T cells if these T cells are in fact present.
A Generalized Material Averaging Formulation for Modelling of the Electromagnetic Fields

In this paper, we derive a general electromagnetic material averaging formula for anisotropic inhomogeneous media. In deriving the homogenization formula for the effective medium, we employed the extended Born approximation applied to the Lipmann-Schwinger integral equation for multiple scattering. It is shown that even if the inhomogeneous medium to be averaged is isotropic, the resulting averaged medium can be anisotropic. We further show that, for some special cases, the homogenization formula reduces to well-known material averaging formulas such as the effective medium approximation for spherical inclusions and the Backus averaging formula for finely layered media. The derived averaging formula can be used as a tool to study rock heterogeneities, multiphase structures, as well as an upscaling scheme to assign proper material properties to finite-difference modeling grids when the model under consideration has features that are smaller than the grid size. The latter allows us to use nonconformal grids that will significantly reduce the simulation time of the forward modeling code.
Stability of critical behaviour of weakly disordered systems to introduction of potentials with replica symmetry breaking

A field-theoretic description of the critical behaviour of the weakly disordered systems with p-component order parameter is given. Directly, for three-dimensional systems a renormalization analysis of the effective replicated Hamiltonian of a model with replica symmetry breaking (RSB) potentials is carried out in the two-loop approximation. For the case with first-step RSB the fixed points (FPs) corresponding to stability of the various types of critical behaviour are identified with the use of the Padé-Borel summation technique. Analysis of FPs has shown a stability of the critical behaviour of the weakly disordered systems with respect to RSB effects and realization of the former scenario of disorder influence on critical behaviour.
Paradox therapy for the treatment of social anxiety disorder: A case study

Social Anxiety Disorder (SAD) is a widespread debilitating and costly disorder for both the patient and the society. The high comorbidity rate of SAD with other psychological disorders as well as its impact upon increasing the burden of the disorder, call for more efficient approaches for its treatment. Evaluating the effectiveness of a new psychotherapeutic model for the treatment of SAD, shortly named PTC (Paradox + Timetable = Cure), is introduced in this article. Three patients with SAD participated in a video recorded PTC therapy program. The results and the empirical evidence obtained from the treatment of the patients revealed a very positive complete outcome after three sessions for the first two patients and four sessions for the last one. The result of 24 to 36 months follow-up showed that the therapeutic changes were satisfactory, stable and permanent, during which no relapse was happened. Mechanisms of “paradoxical timetable”, as the main PTC technique, and its adjustment to the treatment outcomes of the three patients are explained. It is concluded that the PTC psychotherapeutic model can be considered as a very short- term, effective, efficient and yet economical approach for the treatment of SAD.
Efficient Inference for Dynamic Flexible Interactions of Neural Populations

Hawkes process provides an eﬀective statistical framework for analyzing the interactions of neural spiking activities. Although utilized in many real applications, the classic Hawkes process is incapable of modeling inhibitory interactions among neural population. Instead, the nonlinear Hawkes process allows for modeling a more ﬂexible inﬂuence pattern with excitatory or inhibitory interactions. This work proposes a ﬂexible nonlinear Hawkes process variant based on sigmoid nonlinearity. To ease inference, three sets of auxiliary latent variables (P´olya-Gamma variables, latent marked Poisson processes and sparsity variables) are augmented to make functional connection weights appear in a Gaussian form, which enables simple iterative algorithms with analytical updates. As a result, the eﬃcient Gibbs sampler, expectation-maximization (EM) algorithm and mean-ﬁeld (MF) approximation are derived to estimate the interactions among neural populations. Furthermore, to reconcile with time-varying neural systems, the proposed time-invariant model is extended to a dynamic version by introducing a Markov state process. Similarly, three analytical iterative inference algorithms: Gibbs sampler, EM algorithm and mean-ﬁeld approximation are derived. We compare the accuracy and eﬃciency of these inference algorithms on synthetic data, and further experiment on real neural recordings to demonstrate that the developed models achieve superior performance over the state-of-the-art competitors
Heat and charge transport in envelopes of weakly and strongly magnetized neutron stars

Thermal and electrical electron conductivities are calculated for a broad range of physical parameters typical for envelopes of neutron stars. An appropriate effective electron-ion scattering potential is used, based on calculations involving modified ion structure factors suggested recently for the treatment of the transport problems in dense Coulomb plasmas. These results are applied to calculation of the thermal structure of neutron-star envelopes.
TRPC 3-Dependent Fibroblast Regulation in Atrial Fibrillation Running title :

Dept of Medicine and Research Ctr; Montreal Heart Institute and Université de Montréal, Montreal, Canada; Div of Experimental Cardiology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Dept of Cardiovascular Research, Research Institute of Environmental Medicine, Nagoya University; Dept Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan; Dept of Physiology, Maastricht University, Maastricht, Netherlands; Dept of Molecular Cardiology, Cleveland Clinic, Cleveland, OH
Efficient Feature Extraction using Frequency based Approach for Computer Vision

: Computer vision is one of the scorchingfields of research for essentiality of real word issues. It is needed to improve with more pace than of requirement in today products. Segmentation of image and extraction is one of the noteworthy areas of research for same domain. This paper put thrust upon the feature extraction from algorithmic point of view in which object are extracted on basis of frequency images with the help of RGB frame. When we opted for a particular frequency it will result in three main types (high, medium and low). This paper provides unique feature setsand area comparison of resulting imagewith input image. This paper can be implementing further to generate framework and automatic engine for distinctive feature extraction the.
The Visible and the Invisible

This paper is about the interaction of electroacoustic music with visual elements, (mostly) outside real-time hypothesis. The article focuses on works from the past to the present, showing the rich development that «audio-visual acousmatic composition» or, more generally, «multimedia or intermedia works (1)» had in about half a century: to describe this evolution, various authors are quoted for analytical purposes, from the past to younger generations: M. Adkins, M. Avantaggiato, M. Chion, F. Dhomont/Wickmann, H. Ishii, A.Ferreira/ Echeverry, A. Lewis, D. Raaijmakers, I. Drese, I. Xenakis/Fulchignoni, T. Grossi/Munari, J.P. Oliveira, and so on. Each paragraph of the present article tries to answer to the initial question: “Electroacoustic (Audio-visual) Music: is it still a form of experimental music? ” moving from different points of view. All the examples indicated in the article show that electronic music allows an increase in the possibilities of communication of the music as it is thought, without further mediation by the interpreter, thanks to the novelty of keeping the original message of the composer intact.
Choice of Major and Career Aspirations of First-Year ECE Students

Dr. Jean Mohammadi-Aragh is an assistant professor in the Department of Electrical and Computer Engineering at Mississippi State University. Dr. Mohammadi-Aragh investigates the use of digital systems to measure and support engineering education, speciﬁcally through learning analytics and the pedagogical uses of digital systems. She also investigates fundamental questions critical to improving undergraduate engineering degree pathways. She earned her Ph.D. in Engineering Education from Virginia Tech. In 2013, Dr. Mohammadi-Aragh was honored as a promising new engineering education researcher when she was selected as an ASEE Educational Research and Methods Division Apprentice Faculty.
SexualDifferentiation of the Brain: Effects on Mating Behaviorand -Estradiol by Hypothalamic

The present study was done to determine whether previously observed sex differences in the binding of I'H) -estradiol by hypothalamic nuclear chromatin material could be influenced by hormonal manipulation at birth that alters adult sexual potential. Male rats were castrated at birth or 10 days after birth; females were administered oil or 500 i@gtestosterone propionate at birth, examined for vaginal cyclicity at maturity and then ovariectomized. All animals were given estro gen and progesterone and tested for the occurrence of lordosis behavior. Following hormone withdrawal, they were given (â€˜HI-estradiol i.v. , and the binding of (â€˜H]-E2 by hypothalamic and cortical chromatin 30 mm later was determined. Females castrated at maturity and males castrated at birth showed high levels of lordosis behavior and high levels of E2 binding by hypothalamic chromatin. Neonatally androgenized females and males castrated 10 days after birth showed low levels of lordosis behavior and
Allergic Encephalomyelitis Tolerance and Suppression of Experimental T Cell Dynamics during Induction of

The cell dynamics associated with induction of peripheral T cell tolerance remain largely undeﬁned. In this study, an in vivo model was adapted to two-photon microscopy imaging, and T cell behavior was analyzed on tolerogen-induced modulation. Fc g R-deﬁcient (Fc g R 2 / 2 ) mice were unable to resist or alleviate experimental allergic encephalomyelitis when treated with Ig-myelin oligodendrocyte glycoprotein (MOG) tolerogen, an Ig carrying the MOG35–55 peptide. However, when Fc g R +/+ dendritic cells (DCs) are adoptively transferred into Fc g R 2 / 2 mice, uptake and presentation of Ig-MOG occurs and the animals were able to overcome experimental allergic encephalomyelitis. We then ﬂuorescently labeled Fc g R +/+ DCs and 2D2 MOG-speciﬁc TCR-transgenic T cells, transferred them into Fc g R 2 / 2 mice, administered Ig-MOG, and analyzed both T cell–DC contact events and T cell motility. The results indicate that tolerance takes place in lymphoid organs, and surprisingly, the T cells do not become anergic but instead have a Th2 phenotype. The tolerant Th2 cells displayed reduced motility after tolerogen exposure similar to Th1 cells after immunization. However, the Th2 cells had higher migration speeds and took longer to exhibit changes in motility. Therefore, both Th1 immunity and Th2 tolerance alter T cell migration on Ag recognition, but the kinetics of this effect differ among the subsets. The Journal of Immunology , 2011, 187: 000–000.
Accurate and Robust Skin Feature Extraction Scheme for Aging Estimation

— In this paper, we revise our method for skin feature extraction based on cell segmentation to improve its accuracy, efficiency and robustness that are very critical in the realistic skin condition analysis. In order to achieve such goals, we enhance the contrast of wrinkles on the skin by using the contrast limited adaptive histogram equalization (CLAHE) and highlight the depth of wrinkles by using the extended-minima transform. By performing watershed transform, we can segment the skin image into labelled skin cells and calculate various skin features from the labelled cells. We focus on two types of skin features that play a key role in assessing the degree of skin aging; cell features and wrinkle features. To evaluate the performance and robustness of our revised method, we collected skin images using three different types of microscopy cameras and extracted their cell and wrinkle features using the revised method. Through various experiments, we show that our revised method achieves 10% increase in the skin feature extraction accuracy and 50% decrease in the skin feature extraction time compared to our previous method.
Analysis of DNA Sequence Alignment Using Fuzzy Membership Degree

We proposed a method complementing failure of combining DNA fragments, defect of conventional contig assembly programs. In the proposed method, very long DNA sequence data are made into a prototype of fragment of about 700 bases that can be analyzed by automatic sequence analyzer at one time, and then matching ratio is calculated by comparing a standard prototype with 3 fragmented clones of about 700 bases generated by the PCR method. For the experiments, fragments of about 700 bases were generated from each (cid:86)(cid:72)(cid:84)(cid:88)(cid:72)(cid:81)(cid:70)(cid:72)(cid:3)
Effect of Amphotericin B on Adriamycin Transport in P388 Cells1

In Adriamycin-sensitive and -resistant P388 cells, coincubation with amphotericin B causes a marked increase in Adriamycin retention, as determined by laser flow cytometry. P388/S cells were generally more affected than were P388/R cells. Preincubation with amphotericin B had a greater effect on Adriamycin retention than did co- or postincubation. In splenocytes, bone marrow, and ascites from mice, enhanced Adriamycin retention was seen in all the tissues. However, bone marrow cells showed heterogeneous response, with some populations being more sensitive than others.
Induction of ER α Expression with Decoy Oligonucleotide Targeted to NFATc1 Binding Sites in Osteoblasts

The “nuclear factor of activated T-cells cytoplasmic 1” (NFATc1) is a member of NFAT family and is strictly implicated in the growth and development of bone. Most studies have focused on the effects of NFATc1 activation on osteoclastogenesis. On the contrary, the specific roles of NFAT in osteoblast differentiation are not well understood and in some instances, reports of its role are contradictory. In the present study we demonstrate that NFATc1 is involved in the transcriptional regulation of human Estrogen Receptor alpha (ER α ) gene in SaOS-2 osteoblastic like cells. NFATc1 is specifically recruited “in vivo” at C and F distal promoters of ER α gene. In addition it is here identified as the negative transcription factor removed by the RA4-3’decoy oligonucleotide able to induce of ER α expression in osteoblasts. Ca 2+ /calcineurin-NFAT-mediated signaling pathways and ER α -dependent signals are involved in diverse cellular reactions by regulating gene expression both in physiological and pathological conditions. Therefore, our data may be useful for proper manipulation of NFATc1- and ER α - mediated cellular reactions in different bone disorders such as osteoporosis.
Exploration Of A State Of The Art On Cardiac Diseases Prediction Techniques

– Healthcare is a predictable task to wipe out human life. Coronary heart disease is sickness that impacts the human coronary heart. Cardiovascular sicknesses will forecast with the aid of several techniques that helped in making choices about the modifications that maintain excessive-risk patients which resulted in the discount of their dangers. The purpose of demise ratio of those sicknesses may be very high. It is very imperative to become aware of if the individual has heart disorder or now not. In medical field it is very important to find the occurrence of prediction of the heart diseases. Accurate Prediction results are very efficient to treat the patient’s medical history before the attack occurs. The techniques Data mining and Machine learning plays a essential role to predict the occurrence of heart diseases. These techniques diagnose these diseases with the help of dataset in healthcare centers. Various models used to reduce the number of deaths ratio. Models based on several algorithms such as Support Vector Machine (SVM), Decision Tree(DT), Naïve Bayes(NB), K-Nearest Neighbor(KNN), and Artificial Neural Network (ANN) are implemented to predict heart disease. The accuracy of these models helps to diagnose the diseases with better results. This paper summarized the performance of all algorithms which are used to predict and diagnose heart diseases.
This information is current as Expression in T Lymphocytes Pathway Signaling and Induces Foxp3 and Phosphatidylinositol 3-Kinase/Akt Butyrophilin Btn2a2 Inhibits TCR Activation

Johannes U. Ammann, Anne Cooke and John Trowsdalehttp://www.jimmunol.org/content/190/10/5030doi: 10.4049/jimmunol.1203325April 2013;J Immunol€2013; 190:5030-5036; Prepublished online 15Referenceshttp://www.jimmunol.org/content/190/10/5030.full#ref-list-1This article cites 50 articles, 25 of which you can access for free at: Subscriptionshttp://jimmunol.org/subscriptionsInformation about subscribing to The Journal of Immunology is online at: Permissionshttp://www.aai. org/ji/copyright.htmlSubmit copyright permission requests at: Email Alertshttp://jimmunol.org/cgi/alerts/etocReceive free email-alerts when new articles cite this article. Sign up at:
A Pilot Study Assessing the Possible Combined Effect of Physical Activity and PNPLA3 rs738409 Polymorphism on the Risk for Non-Alcoholic Fatty Liver Disease in the Japanese Elderly General Population Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy

Purpose: The patatin-like phospholipase domain containing protein 3 ( PNPLA3 ) rs738409 polymorphism (c.444C>G) is the most well-known genetic risk factor for non-alcoholic fatty liver disease (NAFLD), but whether or not physical activity in ﬂ uences the association between the PNPLA3 genotype and risk of NAFLD is unclear. Patients and Methods: A retrospective longitudinal analysis was conducted among 352 Japanese subjects. Each type of physical activity was assigned a metabolic equivalent (MET), and the subjects were classi ﬁ ed into sedentary, low or high groups using the “ METS*T ” (METs × hours per week) value of 5 or 21 as a threshold. Results: Among the PNPLA3 G/G genotype carriers, the high and low METS*T groups had a lower risk of NAFLD than the sedentary METS*T group (odds ratio [95% con ﬁ dence interval]: 0.14 [0.02 – 0.99] and 0.16 [0.03 – 1.04], respectively). Furthermore, the PNPLA3 C/C or C/G genotype carriers showed no signi ﬁ cant difference in the risk of NAFLD among the three METS*T groups. Conclusion: The PNPLA3 rs738409 genotype may be associated with the bene ﬁ cial effects of physical activity on the risk of NAFLD among elderly Japanese individuals. Further comprehensive investigations are therefore needed to verify the preliminary results.