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Wind power, as an eco-friendly renewable energy, has been widely integrated into modern power systems. The prediction accuracy of wind power is crucial to the secure operation of power systems. To improve the prediction accuracy, a hybrid hour-ahead wind power prediction method is presented in this paper. First, the variational mode decomposition (VMD) is used to decompose the original wind power sequences into a set of intrinsic mode functions (IMFs) with different frequencies. Then, the prediction model is formulated by using the long short-term memory (LSTM) network for each IMF. To enhance the LSTM, a bio-inspired algorithm named Harris Hawks optimization (HHO) is blended to optimize the parameters of each LSTM prediction model. The final prediction output power is thus obtained by integrating all prediction results from these individual IMFs, so that the novel VMD–HHO–LSTM prediction strategy is developed. Finally, case studies based on the real historical dataset are performed, demonstrating that the proposed hybrid hour-ahead wind power prediction model named VMD–HHO–LSTM has better prediction performance and higher applicability to multiple dataset scenarios.

To accomplish their critical task of removing infected cells and fighting pathogens, leukocytes activate by forming specialized interfaces with other cells. The physics of this key immunological process are poorly understood, but it is important to understand them because leukocytes have been shown to react to their mechanical environment. Using an innovative micropipette rheometer, we show in three different types of leukocytes that, when stimulated by microbeads mimicking target cells, leukocytes become up to 10 times stiffer and more viscous. These mechanical changes start within seconds after contact and evolve rapidly over minutes. Remarkably, leukocyte elastic and viscous properties evolve in parallel, preserving a well-defined ratio that constitutes a mechanical signature specific to each cell type. Our results indicate that simultaneously tracking both elastic and viscous properties during an active cell process provides a new, to our knowledge, way to investigate cell mechanical processes. Our findings also suggest that dynamic immunomechanical measurements can help discriminate between leukocyte subtypes during activation.

To mount appropriate responses, T cells integrate complex sequences of receptor stimuli perceived during transient interactions with antigen presenting cells. Although it has been hypothesized that the dynamics of these interactions influence the outcome of T cell activation, methodological limitations have hindered its formal demonstration. Here, we have engineered the Light-inducible T cell engager (LiTe) system, a recombinant optogenetics-based molecular tool targeting the T Cell Receptor (TCR). The LiTe system constitutes a reversible molecular switch displaying exquisite reactivity. As proof of concept, we dissect how specific temporal patterns of TCR stimulation shape T cell activation patterns. We established that CD4+ T cells respond to intermittent TCR stimulation more efficiently than their CD8+ T cells counterparts and provide evidence that distinct sequences of TCR stimulation encode different cytokine programs. Finally, we show that the LiTe system could be exploited to create light-activated bispecific T cell engagers and manipulate tumor cell killing. Overall, the LiTe system provides new opportunities to understand how T cells integrate TCR stimulations and to trigger T cell cytotoxicity with a high spatiotemporal control.

International audience; Theoretical work suggests that collective spatiotemporal behaviour of integral membrane proteins (IMPs) should be modulated by boundary lipids sheathing their membrane anchors. Here, we show evidence for this prediction whilst investigating the mechanism for maintaining a steady amount of the active form of IMP Lck kinase (LckA) by Lck trans-autophosphorylation regulated by the phosphatase CD45. We used super-resolution microscopy, flow cytometry, and pharmacological and genetic perturbation to gain insight into the spatiotemporal context of this process. We found that LckA is generated exclusively at the plasma membrane, where CD45 maintains it in a ceaseless dynamic equilibrium with its unphosphorylated precursor. Steady LckA shows linear dependence, after an initial threshold, over a considerable range of Lck expression levels. This behaviour fits a phenomenological model of trans-autophosphorylation that becomes more efficient with increasing LckA. We then challenged steady LckA formation by genetically swapping the Lck membrane anchor with structurally divergent ones, such as that of Src or the transmembrane domains of LAT, CD4, palmitoylation-defective CD4 and CD45 that were expected to drastically modify Lck boundary lipids. We observed small but significant changes in LckA generation, except for the CD45 transmembrane domain that drastically reduced LckA due to its excessive lateral proximity to CD45. Comprehensively, LckA formation and maintenance can be best explained by lipid bilayer critical density fluctuations rather than liquid-ordered phase-separated nanodomains, as previously thought, with "like/unlike" boundary lipids driving dynamical proximity and remoteness of Lck with itself and with CD45.

International audience; No abstract available

To accomplish their critical task of removing infected cells and fighting pathogens, leukocytes activate by forming specialized interfaces with other cells. Using an innovative micropipette rheometer, we show in three different cell types that when stimulated by microbeads mimicking target cells, leukocytes become up to ten times stiffer and more viscous. These mechanical changes initiate within seconds after contact and evolve rapidly over minutes. Remarkably, leukocyte elastic and viscous properties evolve in parallel, preserving a well-defined ratio that constitutes a mechanical signature specific to each cell type. The current results indicate that simultaneously tracking both elastic and viscous properties during an active cell process provides a new way to investigate cell mechanical processes. Our findings also suggest that dynamic immuno-mechanical measurements provide an identifier of leukocyte type and an indicator of the cell’s state of activation.

APE1 is a multifunctional protein that has recently been implicated in protecting cells from oxidative stress. In the current study, we confirmed that APE1׳s effect on cellular antioxidant capacity is related to its redox activity through the use of an APE1 functional mutant, and we investigated the mechanism through which this multifunctional protein affects the function of the transcription factor Nrf-2 in regulating oxidative stress-induced genes. Using a pair of mutants for both the redox activity and the acetylation-regulated activity of APE1, in vitro assays showed that the redox activity of APE1 is crucial for its nuclear association with Nrf-2 and subsequent activation of Nrf-2׳s transcription of several downstream genes during oxidative challenge. Important oxidative stress genes are affected by APE1 redox activity, including Hmox1, Gstm1, and Txnrd1. In addition, utilizing human non-small-cell lung cancer sample tissue as well as a nude mouse xenograft model, we determined that APE1 expression levels are inversely correlated to oxidative stress in vivo. These findings indicated that interference with these crucial functions of APE1 shows promise in preventing resistance to certain radiotherapies and that further research is necessary to understand APE1׳s complex roles in regulating both the basal redox status and the oxidative stress state of the cellular environment.

Objective To explore the effects of heroin on purine nucleotides metabolism in rat brain. Methods Biochemical changes in association with heroin administration were compared between heroin-administered rats and non-heroin rats. HPLC method was used to detect the absolute content of purine nucleotides in brain tissues. Concentrations of uric acid (UA), blood urea nitrogen (BUN) and creatinine (Cre) in plasma were measured. Enzymatic activities of adenosine deaminase (ADA) and xanthine oxidase (XO) in brain tissue were analyzed. Real-time PCR was used to determine the relative level of transcripts of ADA, XO, adenine phosphoribosyl transferase (APRT), hypoxanthine-guaninephosphoribosyl transferase (HGPRT) and adenosine kinase (AK) in brain tissue. Results Compared with those in the saline group, the content of AMP and GTP of heroin group decreased significantly; the UA concentration in plasma, ADA and XO activities and the mRNA level of ADA and XO in brain tissues in heroin group increased significantly; the mRNA level of AK, APRT and HGPRT in brain tissues in heroin group decreased significantly (P Conclusion Heroin administration may enhance the catabolism and inhibit the anabolism of purine nucleotides in brain. There may be a deficiency of purine nucleotides, especially GTP and AMP in rat brain exposed to heroin. Our findings may provide a new potential approach to study the mechanism of heroin addiction.

Steady-state polarization-resolved fluorescence imaging is used to analyze the molecular orientational order behavior of rigidly labeled major histocompatibility complex class I (MHC I) proteins and lipid probes in cell membranes of living cells. These fluorescent probes report the orientational properties of proteins and their surrounding lipid environment. We present a statistical study of the molecular orientational order, modeled as the width of the angular distribution of the molecules, for the proteins in the cell endomembrane and plasma membrane, as well as for the lipid probes in the plasma membrane. We apply this methodology on cells after treatments affecting the actin and microtubule networks. We find in particular opposite orientational order changes of proteins and lipid probes in the plasma membrane as a response to the cytoskeleton disruption. This suggests that MHC I orientational order is governed by its interaction with the cytoskeleton, whereas the plasma membrane lipid order is governed by the local cell membrane morphology.

Classification of network traffic is the essential step for many network researches. However, with the rapid evolution of Internet applications the effectiveness of the port-based or payload-based identification approaches has been greatly diminished in recent years. And many researchers begin to turn their attentions to an alternative machine learning based method. This paper presents a novel machine learning-based classification model, which combines ensemble learning paradigm with co-training techniques. Compared to previous approaches, most of which only employed single classifier, multiple classifiers and semi-supervised learning are applied in our method and it mainly helps to overcome three shortcomings: limited flow accuracy rate, weak adaptability and huge demand of labeled training set. In this paper, statistical characteristics of IP flows are extracted from the packet level traces to establish the feature set, then the classification model is created and tested and the empirical results prove its feasibility and effectiveness.

Although the traditional chemotherapy has achieved a certain effect for patients with acute myeloid leukemia (AML), but there are still limitations in terms of improving the rate of complete remission and overcome relapse after remission. The further study found that many cytogenetic molecular and epigenetic abnormalities occurred during the progression of AML, such as abnormal expression of cell surface molecules, mutation, gene aberrant methylation and so on. The drugs targeted at these changes can improve the prognosis for patients, and provide a new way for treating patients with AML. At present, the mostly targeted drugs include monoclonal antibodies CD33-Ab, tyrosine kinase inhibitor, inhibitors of DNA methyltransferases inhibitors and so on. In this review, the progress of targeted therapy in AML treatment is summarized.

International audience; Understanding how membrane nanoscale organization controls transmembrane receptors signaling activity remains a challenge. We studied interferon-gamma receptor (IFN-gamma R) signaling in fibroblasts from homozygous patients with a T168N mutation in IFNGR2. By adding a neo-N-glycan on IFN-gamma R2 subunit, this mutation blocks IFN-gamma activity by unknown mechanisms. We show that the lateral diffusion of IFN-gamma R2 is confined by sphingolipid/cholesterol nanodomains. In contrast, the IFN-gamma R2 T168N mutant diffusion is confined by distinct actin nanodomains where conformational changes required for Janus-activated tyrosine kinase/signal transducer and activator of transcription (JAK/STAT) activation by IFN-gamma could not occur. Removing IFN-gamma R2 T168N-bound galectins restored lateral diffusion in lipid nanodomains and JAK/STAT signaling in patient cells, whereas adding galectins impaired these processes in control cells. These experiments prove the critical role of dynamic receptor interactions with actin and lipid nanodomains and reveal a new function for receptor glycosylation and galectins. Our study establishes the physiological relevance of membrane nanodomains in the control of transmembrane receptor signaling in vivo.

Localization of the death receptor Fas to specialized membrane microdomains is crucial to Fas-mediated cell death signaling. Here, we report that the post-translational modification of Fas by palmitoylation at the membrane proximal cysteine residue in the cytoplasmic region is the targeting signal for Fas localization to lipid rafts, as demonstrated in both cell-free and living cell systems. Palmitoylation is required for the redistribution of Fas to actin cytoskeleton-linked rafts upon Fas stimulation and for the raft-dependent, ezrin-mediated cytoskeleton association, which is necessary for the efficient Fas receptor internalization, death-inducing signaling complex assembly and subsequent caspase cascade leading to cell death.

It is by now widely recognized that cell membranes show complex patterns of lateral organization. Two mechanisms involving either a lipid-dependent (microdomain model) or cytoskeleton-based (meshwork model) process are thought to be responsible for these plasma membrane organizations. In the present study, fluorescence correlation spectroscopy measurements on various spatial scales were performed in order to directly identify and characterize these two processes in live cells with a high temporal resolution, without any loss of spatial information. Putative raft markers were found to be dynamically compartmented within tens of milliseconds into small microdomains (∅

The role of lipid rafts in T cell signalling has recently been extensively studied and hotly debated. In this review we wish to present recent advances in the study of lipid rafts with regards to the initiation of TCR signal transduction. We also wish to clarify some common misconceptions regarding certain models and experimental methods reported in the literature. Based on the relevant data supporting the functional importance of lipid rafts in early TCR mediated signalling events, we propose a model for TCR signal initiation involving a "TCR signalosome" organized in a specific raft subset, which is highly dynamic and evolving upon TCR activation.

The integral membrane adaptor protein linker for activation of T cells (LAT) couples the T-cell receptor (TCR) with downstream signalling and is essential for T-cell development and activation. Here, we investigate the dynamic distribution of LAT-GFP fusion proteins by time-lapse video imaging of live T lymphocytes interacting with antigen-presenting cells. We show that LAT forms two distinct cellular pools, one at the plasma membrane and one that co-distributes with transferrin-labelled intracellular compartments also containing the TCR/CD3-associated ζ chain. The distribution of LAT between these two pools is dependent on LAT intracytoplasmic residues. Whereas plasma membrane-associated LAT is recruited to immune synapses after a few seconds of cell conjugate formation, the intracellular pool is first polarized and then recruited after a few minutes. We further show that LAT intracytoplasmic amino acid residues, particularly the Tyr136, 175, 195 and 235 residues, are required for its own recruitment to the immune synapse and that a herein-identified juxtamembrane LAT region (amino acids 32-104) is involved in the localization of LAT in intracellular pools and in T-cell signalling. Altogether, our results demonstrate that LAT controls its own recruitment at the immune synapse, where it is required as a scaffold protein for the signalling machinery. The results also suggest that the intracellular pool of LAT might be required for T-cell activation.

The transmembrane protein LAT (linker for activation of T cells) couples the T cell receptor (TCR) to downstream signaling effectors. Mice homozygous for a mutation of a single LAT tyrosine residue showed impeded T cell development. However, later they accumulated polyclonal helper T (T H ) cells that chronically produced type 2 cytokines in large amounts. This exaggerated T H 2 differentiation caused tissue eosinophilia and massive maturation of plasma cells secreting to immunoglobulins of the E and G1 isotypes. This paradoxical phenotype establishes an unanticipated inhibitory function for LAT that is critical for the differentiation and homeostasis of T H cells.

Recent studies suggest that rafts are involved in numerous cell functions, including membrane traffic and signaling. Here we demonstrate, using a polyoxyethylene ether Brij 98, that detergent-insoluble microdomains possessing the expected biochemical characteristics of rafts are present in the cell membrane at 37 degrees C. After extraction, these microdomains are visualized as membrane vesicles with a mean diameter of approximately 70 nm. These findings provide further evidence for the existence of rafts under physiological conditions and are the basis of a new isolation method allowing more accurate analyses of raft structure. We found that main components of T cell receptor (TCR) signal initiation machinery, i.e. TCR-CD3 complex, Lck and ZAP-70 kinases, and CD4 co-receptor are constitutively partitioned into a subset of rafts. Functional studies in both intact cells and isolated rafts showed that upon ligation, TCR initiates the signaling in this specialized raft subset. Our data thus strongly indicate an important role of rafts in organizing TCR early signaling pathways within small membrane microdomains, both prior to and following receptor engagement, for efficient TCR signal initiation upon stimulation.

Plasma membrane microdomains that are enriched in sphingolipids, cholesterol and glycosylphosphatidylinositol-anchored proteins appear to be important in T-cell signalling. Here, Subburaj Ilangumaran, Hai-Tao He and Daniel Hoessli discuss the possible mechanisms involved in T-cell activation via such microdomains.

While intrinsic Brownian agitation within a lipid bilayer does homogenize the molecular distribution, the extremely diverse composition of the plasma membrane, in contrast, favors the development of inhomogeneity due to the propensity of such a system to minimize its total free energy. Precisely, deciphering such inhomogeneous organization with appropriate spatiotemporal resolution remains, however, a challenge. In accordance with its ability to accurately measure diffusion parameters, fluorescence correlation spectroscopy (FCS) has been developed in association with innovative experimental strategies to monitor modes of molecular lateral confinement within the plasma membrane of living cells. Here, we describe a method, namely spot variation FCS (svFCS), to decipher the dynamics of the plasma membrane organization. The method is based on questioning the relationship between the diffusion time τ(d) and the squared waist of observation w(2). Theoretical models have been developed to predict how geometrical constraints such as the presence of adjacent or isolated domains affect the svFCS observations. These investigations have allowed significant progress in the characterization of cell membrane lateral organization at the suboptical level, and have provided, for instance, compelling evidence for the in vivo existence of raft nanodomains.

While intrinsic Brownian agitation within a lipid bilayer does homogenize the molecular distribution, the extremely diverse composition of the plasma membrane, in contrast, favors the development of inhomogeneity due to the propensity of such a system to minimize its total free energy. Precisely, deciphering such inhomogeneous organization with appropriate spatiotemporal resolution remains, however, a challenge. In accordance with its ability to accurately measure diffusion parameters, fluorescence correlation spectroscopy (FCS) has been developed in association with innovative experimental strategies to monitor modes of molecular lateral confinement within the plasma membrane of living cells. Here, we describe a method, namely spot variation FCS (svFCS), to decipher the dynamics of the plasma membrane organization. The method is based on questioning the relationship between the diffusion time τd and the squared waist of observation w2. Theoretical models have been developed to predict how geometrical constraints such as the presence of adjacent or isolated domains affect the svFCS observations. These investigations have allowed significant progress in the characterization of cell membrane lateral organization at the suboptical level, and have provided, for instance, compelling evidence for the in vivo existence of raft nanodomains.

Despite intensive investigation, the mechanisms of T cell receptor (TCR)-mediated signal generation remain poorly understood. Here we review various dynamic processes at the cell membrane that might critically control this signaling. Firstly, we summarize recent reports providing new information on the sensitivity of TCR/ligand interaction to the membrane environment and particularly to applied forces. Secondly, we review recent evidence that forces and displacements are continuously generated at cell surfaces. Thirdly, we summarize recent experimental evidence demonstrating the capacity of forces to generate signals. Lastly, we provide a quantitative model to exemplify the capacity of dynamic processes to modulate TCR properties such as specificity that were previously difficult to explain with conventional models. It is concluded that the described dynamic processes must be integrated into current models of TCR signaling.

The plasma membrane delineating the cell is a complex multicomponent assembly of lipids and proteins. Deciphering the lateral organization of this supramolecular complex on appropriate length and temporal scales is necessary to unravel its implication in biological function. Here, we show how measurements of diffusion may be taken to shed light on membrane function. We first describe the current methods used to report lateral diffusion of membrane components. We then focus on one fluorescent correlation spectroscopy (FCS)-based method, namely, the spot variation FCS (svFCS), which allows the characterization of the modes of molecular confinement within the plasma membrane of living cells. We next illustrate with different biological systems the progress made toward improving our understanding of cell membrane function. We also discuss the findings with regard to the current view of nanoscale domains/assemblies as a general membrane-organizing principle.

Algorithm PTPSPM (a parallel algorithm based on prefix tree for sequence pattern mining) is proposed in order to deal with the speed limited and effectiveness problem of the sequence pattern mining in massive data. In this paper, a new prefix-tree structure and an improved prefix-span algorithm are introduced to mine the local sequence, the global sequence are obtained by merging all the local sequences. A new prefix tree pruning technique is presented to delete the global k-sequence which can not be attended. PTPSPM algorithm applies project database identifier index table of dynamic scheduling to avoid the processor idle waiting. Additionally, it cites selective sampling techniques to balance the loads between processors. The experiment results demonstrate that PTPSPM algorithm has better execution performance and speedup.

Frequent itemsets mining is a crucial problem in the field of data mining. Although many related studies have been suggested, these algorithms may suffer from high computation cost and spatial complexity in dense database, especially when mining long frequent itemsets or support threshold is very lower. To address this problem, a new data structure called P Array is proposed. P Array makes use of data horizontally and vertically like Bit Table FI, and those itemsets that co_occurence with single frequent items are found by computing intersection in P Array. Then, a new algorithm, call MFIPA, is proposed based on P Array. Some frequent itemsets which have the same supports as single frequent item can be found firstly by connecting the single frequent item with every nonempty subsets of its projection, then all other frequent itemsets can be found by using depth-first search strategy. The experimental results show that the proposed algorithm is superior to Bit Table FI in execution efficiency and memory requirement, especially for dense database.

Classification of network traffic is the essential step for many network researches. Machine learning based approach is one of the most important approaches in the field of network traffic classification. Many related algorithms have been issued by researchers while the whole process contains a series of steps except building the algorithm and few researchers perform description. In this paper, a detailed workflow of machine learning based network traffic classification in campus network of SunYat-sen University is described, including steps such as data preparation and model construction. In the latter part of the paper, simple experiments are performed to prove the effectiveness of machine learning approach.

The aim of this study was to explore whether Thy-1, like other members of the Ig-like superfamily (e.g., CD2 and neural cell adhesion molecule), participates in cell-cell adhesion. This was investigated by measuring the binding of Thy-1+ probe cells (thymocytes or AKR1 T lymphoma cells) to Thy-1- cloned mouse thymic epithelial (MTE) cells using a quantitative cell adhesion assay. The results were as follows: (a) the thymo-epithelial cell interaction was found to be inhibitable (by 25-40%) by soluble Thy-1 molecules purified from phosphatidylinositol-specific phospholipase C-treated mouse thymocytes as well as by Fab' fragments of a Thy-1-specific mAb; (b) the binding of the Thy-1- AKR1 (Thy-1-d) mutant to MTE cells was found to be reduced (by 50%) as compared with that of the wild type T lymphoma; (c) the Thy-1-mediated adhesion pathway did not require Ca2+ and promoted the initial thymo-epithelial binding measured at 4 degrees C. These data provide the first direct evidence of an adhesive function of Thy-1 and suggest that this molecule, in addition to its T cell triggering properties, might play a role during the early T cell maturation by promoting thymocyte adhesion to thymic stroma.

Most of the current network traffic classification approaches employ single classifier method with achieving lower accuracy under small training set. Different from high flow accuracy, byte accuracy, as an important metric for network traffic classification, is usually ignored by many researchers. To address these two problems, this paper proposes a novel classification algorithm. It combines ensemble learning with cost-sensitive learning, which enables the classification model to achieve high flow accuracy as well as byte accuracy. By evaluating our algorithm with the real 7-day traces collected at the edge of the campus network, the results show that it can averagely obtain flow accuracy of 94% as well as byte accuracy of 81%.

As there are many non-linear elements influencing the flatness in the rolling process and its accurate mathematics model is too complex to build, a fuzzy neural network controller is proposed for the cold rolled flatness control. Fuzzy neural controller does not require accurate model of plant and is able to learn to control adaptively. RBF network is adopted in the fuzzy neural network. To automatically acquire the fuzzy rule-base and the initial parameters of the RBF fuzzy model, the relationship clustering method is used in structure identification. Based on the clustering result, a fuzzy neural network is set up and then trained by genetic algorithm to obtain a precise flatness control model. The simulation result shows that it not only reduces the complexity of neural network, but also has faster convergence rate and less possibility to local minimum. The response is more favorable than that of conventional fuzzy controllers and that of fuzzy neural network based on BP network.

In traditional flat neural network, the topologic configurations are needed to be rebuilt with the width of cold strip changing. So that, the large learn assignment, slow convergence and local minimal in the network are observed. Moreover, the structure of the traditional neural network according to the experience has been proved that the model is time-consuming and complex. In this paper, a new approach of flatness pattern recognition is proposed based on the CMAC neural network. The difference of fuzzy distances between samples and the basic patterns is introduced as the inputs of the CMAC network. Simultaneity momentum term is imported to update the weight of this neural network. The new approach with the advantages, such as fast learning speed, good generalization, and easiness to implement, is efficient and intelligent. The simulation results show that the speed and accuracy of the flat pattern recognition model are improved obviously.

Cell membranes are fascinating supramolecular aggregates that not only form a barrier between compartments but also harbor many chemical reactions essential to the existence and functioning of a cell. Here, it is proposed to review the molecular dynamics and mosaic organization of the plasma membrane, which are thought to have important functional implications. We will first summarize the basic concepts of Brownian diffusion and lipid domain formation in model membranes and then track the development of ideas and tools in this field, outlining key results obtained on the dynamic processes at work in membrane structure and assembly. We will focus in particular on findings made using fluorescent labeling and imaging procedures to record these dynamic processes. We will also discuss a few examples showing the impact of lateral diffusion on cell signal transduction, and outline some future methodological challenges which must be met before we can answer some of the questions arising in this field of research.

In the traditional method of flatness pattern recognition known as neural network with a changing topological configuration, slow convergence and local minimum were observed. Moreover, the process of experimenting the initial parameters and structure of the neural network according to the experience before has been proved time-consuming and complex. In this paper, a new approach was proposed based on the structural equivalence of radial basis function (RBF) network and Support Vector Machines (SVM). The SMO algorithm was employed to obtain more optimal structure and initial parameters of RBF network, and then the BP algorithm was used to adjust RBF network slightly. The new approach with the advantages of SVM, such as fast learning and whole optimization, was efficient and intelligent.

In order to improve the predicting precision of rolling load and avoid the waste of several preceding slats due to depending on self-learning excessively, a new approach is proposed in which deformation resistance and friction coefficient should be first predicted based on measured data by neural network, then rolling load could be predicted with an adaptive model. The numerical optimization technique Levenberg-Marquardt is used to train the neural network. The convergence is fast because the parameter /spl mu/ can be modified adaptively. The experiment has proved that the new model can predict the rolling load on temper mill with a high precision.

This paper introduces the combined fuzzy-based approaches to detect the anomalous network traffic such as DoS/DDoS or probing attacks, which include Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy C-Means (FCM) clustering. The basic idea of the algorithm is: at first using ANFIS the original multi-dimensional (M-D) feature space of network connections is transformed to a compact one-dimensional (1-D) feature space, secondly FCM clustering is used to classify the 1-D feature space into the anomalous and the normal.PCA is also used for dimensional reduction of the original feature space during feature extraction. This algorithm combines the advantages of high accuracy in supervised learning technique and high speed in unsupervised learning technique. A publicly available DRAPA/KDD99 dataset is used to demonstrate the approaches and the results show their accuracy in detecting anomalies of the network connections.

In order to improve the predicting precision of rolling load, a new approach is proposed in which artificial neural network is integrated with theoretical rolling load model, and deformation resistance can be predicted based on measured data. Moreover, traditional self-learning is involved in the system. The practice has proved that the new method can predict the rolling load on temper mill with a high precision.

Coronin has been described as an actin-binding protein of Dictyostelium discoideum, and it has been demonstrated to play a role in cell migration, cytokinesis and phagocytosis. Coronin-related proteins are found in many eukaryotic species, including Coronin-1 in mammals whose expression is enriched in the hematopoietic tissues. Here, we characterize Coronin-1 gene and protein expression in mouse embryonic and adult T lymphocytes. Coronin-1 is expressed throughout T cell ontogeny and in peripheral alphabeta T cells. Expression varies along thymic cell development, with maximum levels observed in embryonic early thymocytes and, in the adults, the selected TCRalphabeta(+) single-positive thymocytes. Subcellular localization analysis indicates that Coronin-1 is in equilibrium between the cytosol and the cell cortex, where it accumulates in F-actin-rich membrane protrusions induced by polarized activation of TCR-CD3-stimulated T cells. These data are consistent with a role of Coronin-1 in T cell differentiation/activation events involving membrane dynamisms and the cortical actin cytoskeleton.

Fas, a member of the tumor necrosis factor receptor family, can upon ligation by its ligand or agonistic antibodies trigger signaling cascades leading to cell death in lymphocytes and other cell types. Such signaling cascades are initiated through the formation of a membrane death-inducing signaling complex (DISC) that includes Fas, the Fas-associated death domain protein (FADD) and caspase-8. We report here that a considerable fraction of Fas is constitutively partitioned into sphingolipid- and cholesterol-rich membrane rafts in mouse thymocytes as well as the L12.10-Fas T cells, and Fas ligation promotes a rapid and specific recruitment of FADD and caspase-8 to the rafts. Raft disruption by cholesterol depletion abolishes Fas-triggered recruitment of FADD and caspase-8 to the membrane, DISC formation and cell death. Taken together, our results provide the first demonstration for an essential role of membrane rafts in the initiation of Fas-mediated cell death signaling.

Antigen-independent adhesive interactions between T lymphocytes and antigen-presenting cells (APCs) are essential for scanning for specific antigens on the APC surface and for initiating the immune response. Here we show, through time-lapse imaging of live cells, that the intercellular adhesion molecule 3 (ICAM-3, also known as CD50) is clustered specifically at the region of the T lymphocyte surface that initiates contact with APCs. We describe the role of ICAM-3 in T cell–APC conjugate formation before antigen recognition, in early intracellular signaling and in cytoskeletal rearrangement. Our data indicate that ICAM-3 is important in the initial scanning of the APC surface by T cells and, therefore, in generating the immune response.

Several patients with Mendelian susceptibility to mycobacterial diseases (MSMD) were shown to present a common mutation T168N creating an additional N-glycosylation site in the extracellular domain of the interferon γ receptor subunit IFNGR2 [1] . This inherited modification of the IFNGR2 subunit caused a complete lack of gene response to IFN-γ, a key cytokine for host defense, and resulted in children death. In patient cells, IFN-γ-induced JAK/STAT signaling was fully inhibited. Spot variation fluorescence correlation spectroscopy (SvFCS) in live cells revealed that the IFNGR complex associates with membrane lipid nanodomains of the raft type upon IFN-γ stimulation. In contrast, the IFNGR2 T168N mutant did not associate with lipid nanodomains. Bioluminescence resonance energy transfer (BRET) experiments found a lack of IFNGR conformational change induced by IFN-γ binding and defects in JAK kinase association with IFNGR complex in patient cells. Removal of the extra glycan restores normal JAK/STAT signaling and IFN-γ biological activity. Proteomics analysis indicates that abnormal galectin binding to the mutated IFNGR2 subunit is responsible for these defects. Depletion of galectins restores normal IFNGR conformational change and JAK/STAT signaling in patient cells. Our results provide the first positive evidence for the role of raft lipid nanodomains in IFNGR assembly and JAK/STAT signaling by IFN-γ in human cells. They also revealed the key role of receptor glycosylation and galectins in this process.

The recent recognition of the presence of rafts in the plasma membrane and of their involvement in cell signaling has strongly stimulated the search for their function in receptor-mediated signal transduction in lymphocytes. Recent progress suggests that a general feature of membrane rafts is to serve as platforms wherein the signaling cascades triggered through different multichain immune recognition receptors (e.g. the TCR, BCR and FcϵRI) are initiated and organized.

Somatostatin (SRIF) induces its biological actions by binding to and stimulating membrane-associated receptors. To investigate the molecular mechanisms by which SRIF induces its biological effects, we have characterized the biochemical properties of SRIF receptors. SRIF receptors can be solubilized in an active form with the detergent CHAPS and can be detected with the high-affinity SRIF analog [125I]MK 678. The pharmacological characteristics of solubilized SRIF receptors from brain are similar to the receptors in membranes, suggesting that the solubilized receptors retain their biological activity. Solubilized SRIF receptors appear to be tightly associated with GTP-binding proteins, since analogs of GTP can greatly reduce agonist labeling of the solubilized SRIF receptor. The solubilized SRIF receptor migrates as a mass of approximately 400 kd and is a glycoprotein since it can specifically interact with lectin columns. The solubilization of the SRIF receptor has allowed for its purification by affinity chromatography. The purified SRIF receptor migrates as a mass of 60 kd in denaturing gels. Using affinity chromatography, the receptor can be purified to near homogeneity. Present studies are directed toward sequencing and cloning cDNA encoding the SRIF receptor in order to further characterize its physical properties and expression.

The brain somatostatin (somatotropin release-inhibiting factor; SRIF) receptor was purified by affinity chromatographic techniques. A protein of 60 kDa could be purified from rat brain. The protein was eluted from a [D-Trp8]SRIF affinity column with either sodium acetate (pH 5.5) or free [D-Trp8]SRIF. The binding of the protein to the affinity column was prevented by free [D-Trp8]SRIF or the stable SRIF analogue SMS 201-996 but not by the inactive somatostatin 28-(1-14). The purified receptor could be covalently labeled by the 125I-labeled SRIF analogue CGP 23996. Excess [D-Trp8]SRIF blocked the binding of 125I-labeled CGP 23996 to the purified receptor, but somatostatin 28-(1-14) did not affect the binding. A 60-kDa protein was also purified from the anterior pituitary cell line AtT-20, which has a high expression of SRIF receptors. In contrast, no 60-kDa protein could be purified from CHO cells, which have no detectable SRIF receptors. These findings present evidence for the purification of the SRIF receptor.

The neural cell adhesion molecule (N-CAM) of rodents comprises three distinct proteins of Mr 180,000, 140,000, and 120,000 (designated N-CAM-180, -140, and -120). They are expressed in different proportions by different tissues and cell types. but the individual contribution of each form to cell adhesion is presently unknown. Previous studies have shown that the two N-CAM species of higher relative molecular mass span the membrane whereas N-CAM-120 lacks a transmembrane domain and can be released from the cell surface by phosphatidylinositol-specific phospholipase C. In this report, we provided evidence that N-CAM-120 contained covalently bound phosphatidylinositol and studied N-CAM-120 from its biosynthesis to its membrane insertion and finally to its release from the cell surface. Evidence was presented showing that the lipid tail of N-CAM-120 contained ethanolamine as is the case for other lipid-linked molecules. The phospholipid anchor was attached to the protein during the first minutes after completion of the polypeptide chain. This process took place in the endoplasmic reticulum as judged from endoglycosidase H digestion experiments. Immediately after a 2-min pulse with [35S]methionine, we detected also a short-lived precursor that had not yet acquired the lipid tail. Pulse-chase studies established that N-CAM-120 was transported to the cell surface from which it was slowly released into the extracellular milieu. The molecules recovered in the incubation medium appeared to have lost all of their bound fatty acid but only around half of the ethanolamine. Upon fractionation of brain tissue, approximately 75% of N-CAM-120 was recovered with a membrane fraction and approximately 25% in a membrane-free supernatant. A small proportion (approximately 6%) was found to be resistant to extraction by non-ionic detergent. A major posttranslational modification of N-CAM is polysialylation. Our results showed that also N-CAM-120 was polysialylated in the young postnatal brain and released in this form from cultured cerebellar cells. The presence of N-CAM in a form that can be released from the cell surface and accumulates in the extracellular fluid suggests a novel mechanism by which N-CAM-mediated adhesion may be modulated.

The rodent neural cell adhesion molecule (NCAM) consists of three glycoproteins with Mr of 180,000, 140,000 and 120,000. The Mr 120,000 protein (NCAM-120) has been shown to exist in membrane-bound and soluble forms but the nature of its membrane association and release has remained obscure. We show here that phosphatidylinositol-specific phospholipase C (PI-PLC), but not a phospholipase C of different specificity, releases a substantial proportion of NCAM-120 from brain membranes and solubilizes almost quantitatively NCAM-120 present at the surface of C6 astroglial cells. The PI-PLC effect was highly selective since only one other protein species was detectably released from C6 cells. These results suggest that NCAM-120 is held in the membrane by covalently bound phosphatidylinositol or a closely related lipid in a way similar to several other surface proteins from eukaryotic cells. The presence of NCAM in a form which can be released from the cell surface by a highly selective mechanism raises additional possibilities for modulation and control of cell--cell adhesion.

The physical properties of brain and pituitary somatostatin receptors were characterized using photocrosslinking techniques. Somatostatin receptors in rat corpus striatum and anterior pituitary membranes were covalently bound to the non-reducible somatostatin analog, [125I]CGP 23996, using the crosslinking agent n-hydroxysuccinimidyl-4-azidobenzoate and ultraviolet light. In striatal membranes, a protein of 60,000 mol. wt was labeled by [125I]CGP 23996. The binding was potently inhibited by somatostatin analogs but not by other biologically active peptides. The labeling of the 60,000 mol. wt protein by [125I]CGP 23996 was diminished by guanine triphosphate gamma thiol, which is consistent with the labeling of a somatostatin receptor coupled to guanine triphosphate binding proteins. The migration of the [125I]CGP 23996 labeled 60,000 mol. wt protein in native sodium dodecyl sulfate-gels was not affected by the reducing agent dithiothreitol, indicating that there is a general lack of disulfide bridges in the striatal somatostatin receptor. The striatal somatostatin receptor was solubilized with the detergent 3-[(3-cholamidopropyl)-dimethylaminoio]-1-propanesulfonate and specifically bound to the lectin wheat germ agglutinin, suggesting that the striatal somatostatin receptor is a glycoprotein. [125I]CGP 23996 also labeled a 60,000 mol. wt protein in anterior pituitary membranes. The characteristics of [125I]CGP 23996 binding to anterior pituitary membranes were consistent with the labeling of a somatostatin receptor. Interestingly, a comparison of the [125I]CGP 23996 labeled material from striatal and anterior pituitary membranes by two-dimensional polyacrylamide gel electrophoresis revealed the presence of several striatal somatostatin receptors of varying charge (pI values between 6 and 6.5) but only a single pituitary receptor. These findings indicate that physical differences may exist between subtypes of somatostatin receptors.

Thy-1 is a major brain cell surface glycoprotein of adult mammal species also expressed in rodent thymus. Despite extensive studies, the function(s) of this molecule has remained so far ill defined. We have recently shown that Thy-1 was involved in the adhesion of mouse thymocytes to thymic epithelium through a specific interaction with a heterophilic ligand(s) expressed on the epithelial cell surface. In the present study, we aimed at evaluating the interaction of sulfated glycans with mouse Thy-1, as well as its consequence on Thy-1-mediated thymic lympho-epithelial cell interaction. It was shown that 125I-labeled Thy-1 directly bound to immobilized heparin. Sulfated glycans such as pentosan sulfate, dextran sulfate, and fucoidan were found to strongly inhibit the binding of Thy-1 to heparin. In contrast, chondroitin sulfate, keratan sulfate, and heparan sulfate were not inhibitory. Sulfated glycans (e.g., pentosan sulfate, assayed at a concentration of 50 micrograms/ml) completely blocked the Thy-1-dependent adhesion of T cells to a mouse thymic epithelial cell monolayer. To explore the mechanism of this inhibition, we compared the ability of T cell to adhere to mouse thymic epithelial cell monolayer or to sulfated glycans. Our results suggest that sulfated glycans bind to a Thy-1 site distinct from that with which this molecule interacts with its heterophilic ligand. Moreover, sulfate glycans could modulate the binding of rat mAb directed at spatially distinct Thy-1 epitopes. The present results identified a potential mechanism regulating Thy-1-mediated lympho-epithelial cell adhesion.