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Mentat: An object-oriented macro data flow system. Mentat, an object-oriented macro data flow system deed to facilitate parallelism in distributed systems, is presented. The macro data flow model is a model of computation similar to the data flow model with two principal differences: the computational complexity of the actors is much greater than in traditional data flow systems, and there are persistent actors that maintain state information between executions.

Mentat is a system that combines the object-oriented programming paradigm and the macro data flow model of computation.

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Mentat programs use a dynamic structure called a future list to represent the future of computations. Guidance for the formulation of robust, multiaxial, constitutive models for advanced materials is provided by addressing theoretical and experimental issues using micromechanics. A new macro model of traffic flow by incorporating both timid and aggressive driving behaviors. In this paper, a novel macro model is derived from car-following model by applying the relationship between the micro and macro variables by incorporating the timid and aggressive effects of optimal velocity on a single lane.

Numerical simulation shows that the timid and aggressive macro model of traffic flow can correctly reproduce common evolution of shock, rarefaction waves and local cluster effects under small perturbation. Also, the uncover that the aggressive effect can smoothen the front of the shock wave and the timid effect in local press peak, which means that the timid effect hastens the process of congregation in the shock wave.

The more timid traffic behaviors are, the smaller is the stable range. Furthermore, the research shows that the advantage of the aggressive effect over the timid one lies in the fact that the aggressive traffic behaviors can improve the stability of traffic flow with the consideration of incorporating timid and aggressive driving behaviors at the same time. The simulation of reactive energetic materials has long been the interest of researchers because of the extensive applications of explosives.

Much research has been done on the subject at macro scale in the past and research at micro scale has been initiated recently. Equation of state EoS is the relation between physical quantities pressure, temperature, energy and volume describing thermodynamic states of materials under a given set of conditions. It plays a ificant role in determining the characteristics of energetic materialsincluding Chapman-Jouguet point and detonation velocity. Furthermore, EoS is the key to connect microscopic and macroscopic phenomenon when simulating the macro effects of an explosion.

For instance, an ignition and growth model for high explosives uses two JWL EoSs, one for solid explosive and the other for gaseous products, which are often obtained from experiments that can be quite expensive and hazardous. Therefore, it is ideal to calculate the EoS of energetic materials through computational means. The microscopic simulation are then compared with experiments and the continuum ignition and growth model. Good agreement is observed. Then, the EoSs obtained through micro-scale simulation is applied in a smoothed particle hydrodynamics SPH code to simulate the macro effects of explosions.

Simulation are compared with experiments. Particle interaction and rheological behavior of cement-based materials at micro- and macro -scales. Rheology of cement based materials is controlled by the interactions at the particle level. The present study investigates the particle interactions and rheological properties of cement-based materials in the micro- and macro -scales. At the micro-scale, aside from the forces on particles due to collisions, interactions of particles in a flowing system include the adhesion and friction.

Adhesion is due to the attraction between materials and friction depends on the properties of the sliding surfaces. The adhesion force is measured by pull-off force measurements and is used to calculate Hamaker constants.

The coefficient of friction is measured by increasing the deflection set-points on AFM probes with sliding particles, thereby increasing normal lo and friction force. AFM probes were commercial Si3N4 tips and cementitious particles attached to the tips of probe cantilevers. SF was not included in the micro-scale tests due to its limiting size when attaching it to the AFM probes. Other materials included in the tests were silica, calcite and mica, which were used for verification of the developed test method for the adhesion study. The AFM experiments were conducted in dry air and fluid environments at pH levels of 7, 8, 9, 11 and The for the friction test in dry air indicated that the coefficient of friction of PC is lower than fly ashes, which is.

Combined micro and macro geodynamic modelling of mantle flow : methods, potentialities and limits. Over the last few years, geodynamic simulations aiming at reconstructing the Earth's internal dynamics have increasingly attempted to link processes occurring at the micro i. As a major outcome, such a combined approach in the prediction of the modelled region's elastic properties that, in turn, can be used to perform seismological synthetic experiments.

By comparison with observables, the geodynamic simulations can then be considered as a good numerical analogue of specific tectonic settings, constraining their deep structure and recent tectonic evolution. In this contribution, I will discuss the recent methodologies, potentialities and current limits of combined micro- and macro-flow simulations, with particular attention to convergent margins whose dynamics and deep structure is still the object of extensive studies.

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Modeling air concentration over macro roughness conditions by Artificial Intelligence techniques. Aeration is improved in rivers by the turbulence created in the flow over macro and intermediate roughness conditions. Macro and intermediate roughness flow conditions are generated by flows over block ramps or rock chutes. The measurements are taken in uniform flow region. Efficacy of soft computing methods in modeling hydraulic parameters are not common so far. In this study, modeling efficiencies of MPMR model and FFNN model are found for estimating the air concentration over block ramps under macro roughness conditions.

The experimental data are used for training and testing phases. Analysis of 64 countries representing the largest of international student exchanges examines student flows from a macro perspective. Findings indicate that the international student exchange network is relatively stable; the United States and Western industrialized nations are at the center; East European and Asian countries have becomeā€¦.

Local sex classified in Semeykin

Macro -architectured cellular materials : Properties, characteristic modes, and prediction methods. Macro -architectured cellular MAC material is defined as a class of engineered materials having configurable cells of relatively large i. Two types of novel MAC materialsnegative Poisson's ratio material and biomimetic tendon reinforced materialwere introduced in this study. To estimate the effective material properties for structural analyses and to optimally de such materialsa set of suitable homogenization methods was developed that provided an effective means for the multiscale modeling of MAC materials.

First, a strain-based homogenization method was developed using an approach that separated the strain field into a homogenized strain field and a strain variation field in the local cellular domain superposed on the homogenized strain field. The principle of virtual displacements for the relationship between the strain variation field and the homogenized strain field was then used to condense the strain variation field onto the homogenized strain field. The new method was then extended to a stress-based homogenization process based on the principle of virtual forces and further applied to address the discrete systems represented by the beam or frame structures of the aforementioned MAC materials.

The characteristic modes and the stress recovery process used to predict the stress distribution inside the cellular domain and thus determine the material strengths and failures at the local level are also discussed. We have attempted a multiscale and quantified characterization method of the contact in three-dimensional granular material made of spherical particles, particularly in cemented granular material. Particle contact is defined as a type of surface contact with voids in its surroundings, rather than a point contact.

Macro contact is a particle contact set satisfying the restrictive condition of a two-dimensional manifold with a boundary. On the basis of graph theory, two dual geometrical systems are abstracted from the granular pack. The face and the face set, which satisfies the two-dimensional manifold with a boundary in the solid cell system, are extracted to characterize the particle contact and the macro contact, respectively.

This characterization method is utilized to improve the post-processing in DEM Discrete Element Method from a micro perspective to describe the macro effect of the cemented granular material made of spherical particles. Since the crack has the same shape as its corresponding contact, this method is adopted to characterize the crack and realize its visualization.

The integral failure route of the sample can be determined by a graph theory algorithm. The contact force is ased to the weight value of the face characterizing the particle contact.

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Since the force vectors can be added, the macro contact force can be solved by adding the weight of its corresponding faces. A zwitterionic macro -crosslinker for durable non-fouling coatings. A novel zwitterionic macro -crosslinker was developed and applied to fabricate durable non-fouling coatings on a polyurethane substrate.

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The zwitterionic macro -crosslinker coating exhibited superior durability over the traditional brush polymer coating and was able to retain its non-fouling property even after weeks of shearing in flowing liquid. There exists ificant prior work using tracers or pre-placed hardened markers within friction stir welding FSWing to experimentally explore material flow within the FSW process.

Our experiments replaced markers with a thin sheet of copper foil placed between the aluminum lap and butt ts that were then welded. The absorption characteristics of x-rays for copper and aluminum are ificantly different allowing for non-destructive evaluation NDE methods such as x-ray computed tomography CT to be used to demonstrate the material movement within the weldment on a much larger scale than ly shown.

The x-ray CT data of a section of the weld region was collected using a cone-beam x-ray imaging system developed at the INL. Six-hundred projections were collected over degrees using a kVp Bremsstrahlung x-ray generator micrometer focal spot and amorphoussilicon x-ray detector. The region of the object that was imaged was about 3cm tall and 1. The data were reconstructed on a 0. After reconstruction, the aluminum and copper could be easily discriminated using a gray level threshold allowing visualization of the copper components.

Fractal analysis of the tomographic reconstructed material topology is investigated as a means to quantify macro level material flow based on process parameters. The of multi-pass FSWs show increased refinement of the copper trace material. Implications of these techniques for quantifying process flow are discussed. Macro - and microscale fluid flow systems for endothelial cell biology. Recent advances in microfluidics have brought forth new tools for studying flow -induced effects on mammalian cells, with important applications in cardiovascular, bone and cancer biology.

The plethora of microscale systems developed to date demonstrate the flexibility of microfluidic des, and showcase advantages of the microscale that are simply not available at the macroscale. However, the majority of these systems will likely not achieve widespread use in the biological laboratory due to their complexity and lack of user-friendliness.

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To gain widespread acceptance in the biological research community, microfluidics engineers must understand the needs of cell biologists, while biologists must be made aware of available technology. This review provides a critical evaluation of cell culture flow CCF systems used to study the effects of mechanical forces on endothelial cells ECs in vitro.

To help understand the need for various des of CCF systems, we first briefly summarize main properties of ECs and their native environments. Basic principles of various macro - and microscale systems are described and evaluated. New opportunities are uncovered for developing technologies that have potential to both improve efficiency of experimentation as well as answer important biological questions that otherwise cannot be tackled with existing systems.

Finally, we discuss some of the unresolved issues related to microfluidic cell culture, suggest possible avenues of investigation that could resolve these issues, and provide an outlook for the future of microfluidics in biological research. Ultrasensitive detection of nucleic acids plays a very important role in the field of molecular diagnosis for the detection of various diseases. Lateral flow biosensors LFB are convenient, easy-to-use, patient friendly forms of detection methods offering rapid and convenient clinical testing in close proximity to the patients thus drawing a lot of attention in different areas of research over the years.

In comparison with the traditional immunoassays, the nucleic acid based lateral flow biosensors NABLFB has several advantages in terms of stability and interference capabilities. The target analyte typically is the oligonucleotide like the DNA, mRNA, miRNA which are among the nucleic acid secretions by the tumor cells when it comes to detection of cancer.

Traditionally gold nanoparticles GNPs have been used as labels for conjugating with the detection probes for the qualitative and semi quantitative analysis, the application of GNP-based LFB is limited by its low sensitivity.

This dissertation describes the use of different nanomaterials and advanced detection technologies to enhance the sensitivities of the LFB based methods. Owing to the biocompatibility and convenience in surface modification of SiNRs, they acted as good carriers to load numerous GNPs. A fluorescent carbon nanoparticle FCN was first used as a tag to develop a lateral flow nucleic acid biosensor for ultrasensitive and quantitative detection of nucleic acid samples. The carbon nanotube was used as a label and carrier of numerous enzyme.

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