Influence of Channel and Yoke Design and Clogging on Turbulent Flow and Heat Exchange in Induction Channel Furnaces

Low frequency oscillations of temperature field in the industrial induction channel furnace(ICF)with symmetrical and widened channel branches as well as different iron yoke positions are obtained using Large Eddy Simulation(LES)approach.The application of k-co Shear Stress Transport(SST)turbulence model for computations of ICF with typical clogging shapes shows their influence on temperature and induced Joule heat power distributions,which are to be precise in LES study.     

Special applications of fluorinated organic compounds

The applications of fluorinated organic compounds (FOCs) as finishing agent for fabrics, components of extinguishing agents, electroplating bathes, lubricating oils, oxygen carriers in blood substitutes have been discussed. Recent achievements in methods of the fluorination and general principles of the synthesis of useful perfluorinated organic compounds are given as well.     

Pile Spacing Effects on Lateral Pile Group Behavior: Load Tests

To investigate group interaction effects as a function of pile spacing, full-scale cyclic lateral load tests were performed on pile groups in stiff clay spaced at 3.3, 4.4, and 5.65 pile diameters in the direction of loading with as many as five rows of piles. Group interaction effects decreased considerably as pile spacing increased from 3.3 to 5.65D. Lateral resistance was a function of row location in the group, rather than location within a row. For a given deflection, the leading (first) row piles carried the greatest load, while the second and third row piles carried successively smaller loads. Fourth and fifth row piles carried about the same load as the third row piles. For a given load, the maximum bending moments in the trailing row piles were greater than those in the lead row, but these effects decreased as spacing increased. Cyclic loading reduced the peak load by about 15% after 15 cycles; however, distribution of load within the pile group was essentially the same as at the peak load. Gaps significantly reduced resistance for small deflections.     

Table‐driven Adaptive Importance Sampling

Monte Carlo rendering algorithms generally rely on some form of importance sampling to evaluate the measurement equation. Most of these importance sampling methods only take local information into account, however, so the actual importance function used may not closely resemble the light distribution in the scene. In this paper, we present Table‐driven Adaptive Importance Sampling (TAIS), a sampling technique that augments existing importance functions with tabular importance maps that direct sampling towards undersampled regions of path space. The importance maps are constructed lazily, relying on information gathered during the course of sampling. During sampling the importance maps act either in parallel with or as a preprocess to existing importance sampling methods. We show that our adaptive importance maps can be effective at reducing variance in a number of rendering situations.     

COGNITIVE AND BEHAVIORAL MODEL ENSEMBLES FOR AUTONOMOUS VIRTUAL CHARACTERS

Cognitive and behavioral models have become popular methods for creating autonomous self‐animating characters. Creating these models present the following challenges: (1) creating a cognitive or behavioral model is a time‐intensive and complex process that must be done by an expert programmer and (2) the models are created to solve a specific problem in a given environment and because of their specific nature cannot be easily reused. Combining existing models together would allow an animator, without the need for a programmer, to create new characters in less time and to leverage each model's strengths, resulting in an increase in the character's performance and in the creation of new behaviors and animations. This article provides a framework that can aggregate existing behavioral and cognitive models into an ensemble. An animator has only to rate how appropriately a character performs in a set of scenarios and the system then uses machine learning to determine how the character should act given the current situation. Empirical results from multiple case studies validate the approach.     

Medical Information Bus usage for automated IV pump data acquisition: evaluation of usage patterns

SUMMARY: lymph node involvement in renal cell carcinoma is factor of very poor prognosis. In a series of 55 node-positive patients, 33 (60%) had simultaneous renal vein or vena cava invasion and 32 (58.2%) had metastases. Gross lymph node involvement was found in 39 patients (70.9%). Patients without venous invasion or metastasis may have a prolonged survival. In this group, those with microscopic nodal involvement can be cured, as the 10 and 15-year the actuarial survival rate is 54.5% Formal lymphadenectomy might have played a role in these results. Surgery can be performed when vein invasion is present without metastasis, but the prognosis is generally poor. Survival does not seem to be influenced by surgery when metastasis is present, regardless of the vein status.