3. Create envelopes. These envelopes will help the software to understand the volumes to create the sliced character.Adjust your envelopes with the tools and/or improve the accuracy of those by directly modifying their geometry, their scale, their position or rotation.
CG-Animation LH Tools For 3DS Max
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Meanwhile, The Foundry of London showcased Furnace 3 plug-ins to enhance workflow and productivity for Autodesk and Shake artists. Furnace 3 is the result of continual research by The Foundry into advanced image processing algorithms, notably motion estimation technology. The new plug-ins include a sophisticated DeBlur solution, which automatically removes motion and out-of-focus blur, MatchGrade for automatic color histogram matching and Tracker, a multi-point tracker which can track the most challenging regions within a moving image. There are 11 new image processing tools for Discreet Flame, Flint, Fire, Inferno and Smoke; and 10 for Shake, many of which automate time-consuming processes in the creation of digital vfx.
Ahmed, I., Javeed, A., Ahmed, W., Phoenix, D. A., Elhissi, A. and Jackson, M. J. (2016)Delivery of anticancer molecules using carbon nanotubes. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 563-572. ISBN 9783319334899, 9783319334875
Ahmed, W., AlHannan, M., Yusuf, S. and Jackson, M. J. (2016)Nanocoatings for medical devices. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 519-544. ISBN 9783319334899, 9783319334875
Ali, N., Kousa, Y., Gracio, J., Cabral, G., Sousa, A., Shokufar, T., Titus, E., Madaleno, J. C., Ahmed, W. and Jackson, M. J. (2016)Biomaterial-cell tissue interactions in surface engineered carbon-based biomedical implants and devices. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 303-378. ISBN 9783319334899, 9783319334875
Ali, N., Kousa, Y., Gracio, J., Cabral, G., Sousa, A., Shokufar, T., Titus, E., Madaleno, J. C., Ahmed, W. and Jackson, M. J. (2016)Surface engineering of artificial heart valves to using modified diamond-like coatings. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 117-148. ISBN 9783319334899, 9783319334875
Byrne, J. A., Okpalugo, T., Ahmed, W. and Jackson, M. J. (2016)Applications of carbon nanotubes in bio-nanotechnology. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 379-408. ISBN 9783319334899, 9783319334875
Jackson, M. J., Novakov, T., da Silva, M. B., Handy, R., Robinson, G., Whitfield, M., Morrell, J. and Ahmed, W. (2016)Atomic scale machining of medical materials. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 1-54. ISBN 9783319334899, 9783319334875
Jackson, M. J., Whitfield, M., Robinson, G. M., Handy, R. and Ahmed, W. (2016)Machining cancellous bone prior to prosthetic implantation. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 439-474. ISBN 9783319334899, 9783319334875
Khan, I., Yousaf, S., Alhnan, M. A., Ahmed, W., Elhissi, A. and Jackson, M. J. (2016)Design characteristics of inhaler devices used for pulmonary delivery of medical aerosols. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 573-592. ISBN 9783319334899, 9783319334875
Sein, H., Maryan, C., Jones, A., Verran, J., Ali, N., Hassan, I. U., Rego, C., Ahmed, W and Jackson, M. J. (2016)Diamond surgical tools. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 149-194. ISBN 9783319334899, 9783319334875
Sein, H., Maryan, C., Jones, A., Verran, J., Ali, N., Hassan, I. U., Rego, C., Ahmed, W. and Jackson, M. . (2016)Dental tool technology. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 195-224. ISBN 9783319334899, 9783319334875
Sein, H., Maryan, C., Jones, A., Verran, J., Ali, N., Hassan, I. U., Rego, C., Ahmed, W. and Jackson, M. J. (2016)Nanocrystalline diamond: deposition routes and clinical applications. In: Surgical tools and medical devices [2nd ed.]. Springer International Publishing, pp. 225-248. ISBN 9783319334899, 9783319334875
Based on the current tools, de novo secretome (full set of proteins secreted by an organism) prediction is a time consuming bioinformatic task that requires a multifactorial analysis in order to obtain reliable in silico predictions. Hence, to accelerate this process and offer researchers a reliable repository where secretome information can be obtained for vertebrates and model organisms, we have developed VerSeDa (Vertebrate Secretome Database). This freely available database stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites. To our knowledge, VerSeDa is the only state-of-the-art database designed to store secretome data from multiple vertebrate genomes, thus, saving an important amount of time spent in the prediction of protein features that can be retrieved from this repository directly. Database URL: VerSeDa is freely available at PMID:28365718
Based on the current tools, de novo secretome (full set of proteins secreted by an organism) prediction is a time consuming bioinformatic task that requires a multifactorial analysis in order to obtain reliable in silico predictions. Hence, to accelerate this process and offer researchers a reliable repository where secretome information can be obtained for vertebrates and model organisms, we have developed VerSeDa (Vertebrate Secretome Database). This freely available database stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites. To our knowledge, VerSeDa is the only state-of-the-art database designed to store secretome data from multiple vertebrate genomes, thus, saving an important amount of time spent in the prediction of protein features that can be retrieved from this repository directly. VerSeDa is freely available at The Author(s) 2017. Published by Oxford University Press.
Principal Component Analysis (PCA) and Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) are powerful statistical modeling tools that provide insights into separations between experimental groups based on high-dimensional spectral measurements from NMR, MS or other analytical instrumentation. However, when used without validation, these tools may lead investigators to statistically unreliable conclusions. This danger is especially real for Partial Least Squares (PLS) and OPLS, which aggressively force separations between experimental groups. As a result, OPLS-DA is often used as an alternative method when PCA fails to expose group separation, but this practice is highly dangerous. Without rigorous validation, OPLS-DA can easily yield statistically unreliable group separation. A Monte Carlo analysis of PCA group separations and OPLS-DA cross-validation metrics was performed on NMR datasets with statistically significant separations in scores-space. A linearly increasing amount of Gaussian noise was added to each data matrix followed by the construction and validation of PCA and OPLS-DA models. With increasing added noise, the PCA scores-space distance between groups rapidly decreased and the OPLS-DA cross-validation statistics simultaneously deteriorated. A decrease in correlation between the estimated loadings (added noise) and the true (original) loadings was also observed. While the validity of the OPLS-DA model diminished with increasing added noise, the group separation in scores-space remained basically unaffected. Supported by the results of Monte Carlo analyses of PCA group separations and OPLS-DA cross-validation metrics, we provide practical guidelines and cross-validatory recommendations for reliable inference from PCA and OPLS-DA models.
The PanDA distributed production and analysis system has been in production use for ATLAS data processing and analysis since late 2005 in the US, and globally throughout ATLAS since early 2008. Its core architecture is based on a set of stateless web services served by Apache and backed by a suite of MySQL databases that are the repository for all PanDA information: active and archival job queues, dataset and file catalogs, site configuration information, monitoring information, system control parameters, and so on. This database system is one of the most critical components of PanDA, and has successfully delivered the functional and scaling performance required by PanDA, currently operating at a scale of half a million jobs per week, with much growth still to come. In this paper we describe the design and implementation of the PanDA database system, its architecture of MySQL servers deployed at BNL and CERN, backup strategy and monitoring tools. The system has been developed, thoroughly tested, and brought to production to provide highly reliable, scalable, flexible and available database services for ATLAS Monte Carlo production, reconstruction and physics analysis.
The PanDA (Production and Distributed Analysis) Workload Management System is used for ATLAS distributed production and analysis worldwide. The needs of ATLAS global computing imposed challenging requirements on the design of PanDA in areas such as scalability, robustness, automation, diagnostics, and usability for both production shifters and analysis users. Through a system-wide job database, the PanDA monitor provides a comprehensive and coherent view of the system and job execution, from high level summaries to detailed drill-down job diagnostics. It is (like the rest of PanDA) an Apache-based Python application backed by Oracle. The presentation layer is HTML code generated on the fly in the Python application which is also responsible for managing database queries. However, this approach is lacking in user interface flexibility, simplicity of communication with external systems, and ease of maintenance. A decision was therefore made to migrate the PanDA monitor server to Django Web Application Framework and apply JSON/AJAX technology in the browser front end. This allows us to greatly reduce the amount of application code, separate data preparation from presentation, leverage open source for tools such as authentication and authorization mechanisms, and provide a richer and more dynamic user experience. We describe our approach, design and initial experience with the migration process. 2ff7e9595c
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