32,266 research outputs found

    WEC-Sim/WEC-Sim: WEC-Sim v4.4

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    New Features Added WEC-Sim Library blocks for cable, spherical constraint, and spherical pto #712 #675 Added feature to add/remove WEC-Sim path and create temp directory for each run #685 #686 Updated WEC-Sim Library to 2020b and saved Simulink Library Functions to (*.m) files #686 #654 Split WEC-Sim Library into sublibraries for each class #720 Restructured WEC-Sim Continuous Integration tests into class-based tests #620 Added wave visualization with wave markers and post-processing #736 #678 Moved nonlinear hydrodynamics and morison elements to properties of the Body Class #692 Documentation Added developer manual content for WEC-Sim Library, Run from Simulink, Simulink Functions, Added Mass, Software Tests #728 Added user manual content for troubleshooting WEC-Sim #641 Updated content for PTO-Sim, ParaView, WEC-Sim Applications and Tutorials #668 #642 #649 #643 Added multi-version documentation for master and dev branches #630 Bug Fixes Resolved bug with macro for ParaView 5.9 #459 Resolved bugs in BEMIO with Read_Capytaine, READ_AQWA, and Write_H5 functions #727 #694 #636 Resolved bug with variable time-step solver #656 Issues and Pull Requests > 57 issues closed since v4.3 >54 PRs merged since v4.

    The sim gene of Escherichia coli phage P1: nucleotide sequence and purification of the processed protein

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    Maillou J, Dreiseikelmann B. The sim gene of Escherichia coli phage P1: nucleotide sequence and purification of the processed protein. Virology. 1990;175(2):500-507.The sim gene of bacteriophage P1 causes exclusion of a superinfecting P1 phage. We determined the nucleotide sequence of a 1.9-kb DNA fragment that, in plasmids, causes Sim phenotype. There are two open reading frames within this region for proteins of 82 and 259 amino acids. A 1.3-kb fragment containing the larger open reading frame was inserted into an expression vector. Induced cells carrying the hybrid plasmid, termed pBD5, were not infected by phage P1 and produced a 24-kDa protein and, to a smaller extent, a 25-kDa protein. The 24-kDa protein was purified. Comparison of its amino-terminal amino acid sequence with the nucleotide sequence indicated that it is processed from a precursor protein by removal of a hydrophobic leader peptide of 20 amino acids. In vivo processing depends on secA gene function and is necessary for Sim interference with P1 infection. The data are discussed with respect to the function of the sim gene in superinfection exclusion

    Retention of data in heat-damaged SIM cards and potential recovery methods

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    Examination of various SIM cards and smart card devices indicates that data may be retained in SIM card memory structures even after heating to temperatures up to 450oC, which the National Institute of Standards and Technology (NIST) has determined to be approximately the maximum average sustained temperature at desk height in a house fire. However, in many cases, and certainly for temperatures greater than 450oC, the SIM card chip has suffered structural or mechanical damage that renders simple probing or rewiring ineffective. Nevertheless, this has not necessarily affected the data, which is stored as charge in floating gates, and alternative methods for directly accessing the stored charge may be applicable

    Utilizzazione della PCR per la diagnosi di zigomicosi

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    Le zigomicosi sono infezioni fungine invasive gravi ad evoluzione fatale nell’ospite immunocompromesso. La diagnosi convenzionale è resa spesso difficoltosa dall’impossibilità di ottenere prelievi o campioni bioptici significativi. La diagnosi molecolare potrebbe rappresentare una valida alternativa. Recentemente, ci è stato richiesto di accertare in preparati istologici (vetrini non colorati) la presenza di DNA appartenente a zigomiceti, il cui parassitismo tessutale era stato riscontrato utilizzando colorazioni istologiche specifiche per i fungh

    Evolving Fuzzy Rules for Relaxed-Criteria Negotiation

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    In the literature on automated negotiation, very few negotiation agents are designed with the flexibility to slightly relax their negotiation criteria to reach a consensus more rapidly and with more certainty. Furthermore, these relaxed-criteria negotiation agents were not equipped with the ability to enhance their performance by learning and evolving their relaxed-criteria negotiation rules. The impetus of this work is designing market-driven negotiation agents (MDAs) that not only have the flexibility of relaxing bargaining criteria using fuzzy rules, but can also evolve their structures by learning new relaxed-criteria fuzzy rules to improve their negotiation outcomes as they participate in negotiations in more e-markets. To this end, an evolutionary algorithm for adapting and evolving relaxed-criteria fuzzy rules was developed. Implementing the idea in a testbed, two kinds of experiments for evaluating and comparing EvEMDAs (MDAs with relaxed-criteria rules that are evolved using the evolutionary algorithm) and EMDAs (MDAs with relaxed-criteria rules that are manually constructed) were carried out through stochastic simulations. Empirical results show that: 1) EvEMDAs generally outperformed EMDAs in different types of e-markets and 2) the negotiation outcomes of EvEMDAs generally improved as they negotiated in more e-markets

    Agent-Based Cloud Computing

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    Agent-based cloud computing is concerned with the design and development of software agents for bolstering cloud service discovery, service negotiation, and service composition. The significance of this work is introducing an agent-based paradigm for constructing software tools and testbeds for cloud resource management. The novel contributions of this work include: 1) developing Cloudle: an agent-based search engine for cloud service discovery, 2) showing that agent-based negotiation mechanisms can be effectively adopted for bolstering cloud service negotiation and cloud commerce, and 3) showing that agent-based cooperative problemsolving techniques can be effectively adopted for automating cloud service composition. Cloudle consists of 1) a service discovery agent that consults a cloud ontology for determining the similarities between providers’ service specifications and consumers’ service requirements, and 2) multiple cloud crawlers for building its database of services. Cloudle supports three types of reasoning: similarity reasoning, compatibility reasoning, and numerical reasoning. To support cloud commerce, this work devised a complex cloud negotiation mechanism that supports parallel negotiation activities in interrelated markets: a cloud service market between consumer agents and broker agents, and multiple cloud resource markets between broker agents and provider agents. Empirical results show that using the complex cloud negotiation mechanism, agents achieved high utilities and high success rates in negotiating for cloud resources. To automate cloud service composition, agents in this work adopt a focused selection contract net protocol (FSCNP) for dynamically selecting cloud services and use service capability tables (SCTs) to record the list of cloud agents and their services. Empirical results show that using FSCNP and SCTs, agents can successfully compose cloud services by autonomously selecting services

    sj-docx-1-sim-10.1177_00375497221139282 – Supplemental material for Simulation modelling of hospital outpatient Department: a review of the literature and bibliometric analysis

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    Supplemental material, sj-docx-1-sim-10.1177_00375497221139282 for Simulation modelling of hospital outpatient Department: a review of the literature and bibliometric analysis by Aby M Philip, Shanmugam Prasannavenkatesan and Navonil Mustafee in SIMULATION</p
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