Leukocyte-common antigen related (LAR)-like phosphatase receptors are conserved cell adhesion molecules that function in multiple developmental processes. The Caenorhabditis elegans ptp-3 gene encodes two LAR family isoforms differ the extracellular domain. We show here long isoform, PTP-3A, localizes specifically at synapses and short PTP-3B, is extrasynaptic. Mutations cause defects axon guidance can be rescued by PTP-3B but not PTP-3A. affect ptp-3A do instead alterations synapse...

The C. elegans genome encodes a single Eph receptor tyrosine kinase, VAB-1, which functions in neurons to control epidermal morphogenesis. Four members of the ephrin family ligands for receptors have been identified elegans. Three ephrins (EFN-1/VAB-2, EFN-2 and EFN-3) previously shown function VAB-1 signaling. We show that mutations gene mab-26 affect fourth elegansephrin, EFN-4. efn-4 also embryonic morphogenesis, it is expressed developing nervous system. Interestingly, display...

This paper presents a new simple approach for computing the minimum value of capacitance necessary to initiate self-excitation process in three-phase isolated induction generators. The method proposed this is based on analysis complex impedance matrix generator when loaded with general inductive load. advantage its simplicity since it involves algebraic equations and only one equation solved iteratively get capacitance. A computer algorithm has been developed predict onset self-excitation....

Receptor-like protein-tyrosine phosphatases (RPTPs) form a diverse family of cell surface molecules whose functions remain poorly understood. The LAR subfamily RPTPs has been implicated in axon guidance and neural development. Here we report the molecular genetic analysis C. elegans member PTP-3. PTP-3 isoforms are expressed many tissues early embryogenesis, later become localized to neuronal processes epithelial adherens junctions. Loss function ptp-3 causes low-penetrance defects...

This paper describes the system architectures and designs of IBM POWER7® servers. From smallest single-processor socket blade to largest 32-processor-socket 256-core enterprise rack server, each is designed fully exploit performance scalability POWER7 processor. enhancements made memory input/output subsystems achieve balanced scalable designs, changes power cooling circuitry manage energy consumption dissipation, reliability, availability, serviceability. These enable processor-based...

More accurate self-forecasting not only provides a better-integrated solution for electricity grids but also reduces the cost of operation entire power system. To predict solar photovoltaic (PV) generation (SPVG) specific hour, this paper proposes combination two-step neural network bi directional long short-term memory (BD-LSTM) model with an artificial (ANN) using exponential moving average (EMA) preprocessing. In study, four types historical input data are used: hourly PV one week (168 h)...

By means of a previously developed model, the effects corona on transient overvoltage calculations are presented. The development suitable current source model for insertion at critical points along line and as predicted by 3 phase lines also demonstrated. Comparison is made with energization studies EHV lines.

Wind Energy is an intermittent and unpredictable resource. During the high penetration of wind power into grid, turbines can affect quality substantially. Voltage fluctuations or flicker, Harmonics Inter-harmonics, drops are all present in this environment. Subsequent affects on active reactive power, lead to degrading grid protection increased reconnection time. storage systems (ESS) with variable speed (VSWT) such as a Doubly Fed Induction Generator (DFIG) Permanent Magnetic Synchronous...

AT PRESENT, all insulating materials are classified by chemical composition into groups with specified maximum operating temperatures. Because many materials, especially those in the organic group, differ widely their stability toward heat aging, these definitions have become too restrictive. To replace this system, a new method of classification is proposed based on ability material to perform an insulation function. This intended apply specifically random wound induction motors approximate...

Wind Energy is a viable source of renewable energy to solve global problems. However, the disadvantage that wind power variable, depending critically on speed. The simula- tion tool Power System Computer Aided Design/Electromagnetic Transients Direct Current (PSCAD/EMTDC) used simulate model Doubly Fed Induction Generator (DFIG) connected Storage Systems (ESS). In terms technical analysis, DFIG which was equipped with ESS can partly compensate unstable active output from variable power....

Development of a space charge model to represent corona from first principles is presented. The method compared with experimental charge/voltage diagrams available in the literature and reduced more manageable terms for switching lightning surge purposes. This simpler model, which has not been previously suggested, also experiment.

Development of a space charge model to represent corona from first principles is presented. The method compared with experimental charge/voltage diagrams available in the literature and reduced more manageable terms for switching lightning surge purposes. This simpler model, which has not been previously suggested, also experiment.

Solar Photo Voltaic(PV) is one of the hottest trends residential applications due to increasing concerns about environmental sustainability and adopted feed-in tariffs in many countries. However, rooftop PV generates unstable output load variation solar irradiation clouds rain. To overcome this problem, paper investigates operation mode control for housing which consists Battery Energy Storage System(BESS) could be regulated by a Charging/Discharging Controller incorporated into power...

This paper is intended to present an approach decision making in the operation of electrical power systems that will use a simple genetic algorithm as teacher for process supervised learning feedforward, backpropagation artificial neural network. The fitness function used based on load flow program and determine optimal condition critical switches system. Reward penalty functions are applied it order emphasize environmental, economic, security, robustness, public policy other considerations...

This paper presents a simple method to minimize lightning surges entering an uprated or compact substation. A severe stress is caused by backflashover in close proximity the Feasibility of uprating based on surge arrester technology available at present. However, some aspects line design offer opportunities reducing frequency and severity imposed The tower response adds inductive 'overshoot' only during front stroke which reduces considerably tail. If does not occur before reflections from...

Gas insulated substation systems (GIS) are vulnerable to surges which inevitably cause transient sheath voltage rise (TSVR). This paper discusses a mathematical model simulate short gas-insulated transmission line subjected internal breakdown during disconnect switch operations and subsequent, restriking of the gap. A formula for transmitted coefficient containment wave guide (CWG) has been developed. study investigate effects system materials CWG on TSVR is here presented. It shown that...

In Compressed Sensing (CS) Theory sparse signals can be reconstructed from far fewer measurements than the Nyquist Sampling Limit. Initial algorithms implicitly assume that sparsity domain coefficients are independently distributed. Accounting for and exploiting statistical dependencies in improve recovery performance. Wavelets their theoretical principles, structural modeling of dependencies, applied to feature optimization presence non-linear mixtures. Sparsifying Transforms, such as...

With the introduction of compressed sensing (CS) theory, investigation into exploiting sparseness and optimizing compressive performance has ensued. Compressed is highly applicable to images, which naturally have sparse representations. Improvements in area image denoising resulted from combination highly-directional transforms with shrinkage thresholding techniques along imposition a model account for statistical properties images. Using this approach, modeling dependencies transform domain...

With the introduction of compressed sensing (CS) theory, investigation into exploiting sparseness and optimizing compressive performance has ensued. Compressed is highly applicable to images, which naturally have sparse representations. Improvements in area image denoising resulted from combination highly-directional transforms with shrinkage thresholding techniques along imposition a model account for statistical properties images. Using this approach, modeling dependencies transform domain...