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Статті в журналах з теми "SSFEM"
Gaignaire, R., F. Guyomarc'h, O. Moreau, S. Clenet, and B. Sudret. "Speeding Up SSFEM Computation Using Kronecker Tensor Products." IEEE Transactions on Magnetics 45, no. 3 (March 2009): 1432–35. http://dx.doi.org/10.1109/tmag.2009.2012662.
Повний текст джерелаPoński, Mariusz. "Time integration of stochastic generalized equations of motion using SSFEM." Journal of Theoretical and Applied Mechanics 57, no. 1 (January 20, 2019): 37–48. http://dx.doi.org/10.15632/jtam-pl.57.1.37.
Повний текст джерелаFarah, Khaled, Mounir Ltifi, and Hedi Hassis. "A Study of Probabilistic FEMs for a Slope Reliability Analysis Using the Stress Fields." Open Civil Engineering Journal 9, no. 1 (May 14, 2015): 196–206. http://dx.doi.org/10.2174/1874149501509010196.
Повний текст джерелаKAMITAIRA, Kenta, Kazuhiro KORO, and Kazuhisa ABE. "SSFEM-based cyclic deformation analysis considering spatial variation of elastoplastic behavior of ballast material." Proceedings of The Computational Mechanics Conference 2019.32 (2019): 172. http://dx.doi.org/10.1299/jsmecmd.2019.32.172.
Повний текст джерелаHussein, A., M. El-Tawil, W. El-Tahan, and A. A. Mahmoud. "Solution of randomly excited stochastic differential equations with stochastic operator using spectral stochastic finite element method (SSFEM)." Structural Engineering and Mechanics 28, no. 2 (January 30, 2008): 129–52. http://dx.doi.org/10.12989/sem.2008.28.2.129.
Повний текст джерелаPranesh, Srikara, and Debraj Ghosh. "Addressing the curse of dimensionality in SSFEM using the dependence of eigenvalues in KL expansion on domain size." Computer Methods in Applied Mechanics and Engineering 311 (November 2016): 457–75. http://dx.doi.org/10.1016/j.cma.2016.08.023.
Повний текст джерелаCollectif. "SSFAM." Bulletin 1024, no. 14 (November 2019): 22–24. http://dx.doi.org/10.48556/sif.1024.14.22.
Повний текст джерелаLee, Philip. "SSIEM column." Journal of Inherited Metabolic Disease 29, no. 1 (February 2006): 2. http://dx.doi.org/10.1007/s10545-006-0002-z.
Повний текст джерелаBlau, Nenad, and Brian Fowler. "SSIEM 2011." Journal of Inherited Metabolic Disease 35, no. 4 (June 19, 2012): 569. http://dx.doi.org/10.1007/s10545-012-9501-2.
Повний текст джерелаHuang, Xi, Tiecheng Bai, Huade Guan, Xiayong Wei, Yali Wang, and Xiaomin Mao. "An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation." Remote Sensing 14, no. 24 (December 18, 2022): 6396. http://dx.doi.org/10.3390/rs14246396.
Повний текст джерелаДисертації з теми "SSFEM"
Adhikari, Dikshya. "The Role of Eigenvalues of Parity Check Matrix in Low-Density Parity Check Codes." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1707297/.
Повний текст джерелаTsujita, Maristela. "Participação do nicho endosteal na regulação da hemopoese de camundongos submetidos à desnutrição proteica." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/9/9136/tde-04052016-110647/.
Повний текст джерелаThe bone marrow endosteal niche hosts hematopoietic stem cells (HSC) in quiescence/self-renewal. HSC can be classified into two groups: cells capable of renewing indefinitely (LT-HSC) or repopulating in the short term (ST-HSC). In this work, we investigated the effects of protein malnutrition (PM) on bone tissue and the involvement of the endosteal niche in osteoblast-CTH signaling. Therefore, we used mice subjected to PM induced by the consumption of hypoproteic feed. Malnourished animals presented pancytopenia and decreased concentration of serum protein and albumin. We quantified the HSC by flow cytometry and found that the malnourished ones had lower percentage of LT-HSC, ST-HSC and multipotent progenitors (MPP). We assessed the expression of the CD44, CXCR4, Tie-2 and Notch-1 proteins in LT-HSC. We observed decreased expression of CD44 protein with the malnourished ones. We isolated the LT-HSC cells by means of cell sorting and assessed the gene expression of CD44, CXCR4 and NOTCH-1. We found that malnutrition had lower expression of CD44. Regarding the cell cycle, we see greater amount of LT-HSC in the G0 and G1 phases. We characterized the changes of the femoral bone tissue in vivo. We observed a decrease in the bone mineral density and medullar density in malnourished animals. As for malnourished animals, the femoral cortical region showed a significant decrease in tissue area, periosteal and endosteal perimeter. The femoral trabecular region of malnourished animals showed decreased bone volume/tissue volume ratio, decreased trabecular number, increased trabecular separation and prevalence of rod-like trabeculae. We investigated the expression of collagen, osteonectin (ON) and osteocalcin (OC) by means of immunohistochemistry and the expression of osteopontin (OPN) by immunofluorescence and we found that malnourished animals showed decreased labeling for OPN, type I collagen, OC and ON in the cortical region of the femur. Picrosirius staining was used to analyze disorganization of collagen fibers and presence of type III fibers in the femurs of the malnourished. Cortical and trabecular regions of malnourished animals presented a higher number of osteoclasts as shown by tartrate-resistant acid phosphatase reaction. Moreover, osteoblasts were isolated from the femoral region by immunomagnetic depletion and immunophenotyped by flow cytometry and cultured in osteogenic induction medium. Results proved less positive for alkaline phosphatase and alizarin red in the cultures of osteoblasts of malnourished animals. We assessed, by means of Western blotting, type I collagen expression, OPN, osterix, Runx2, RANKL and osteoprotegerin (OPG) and, by real time PCR, the expression of COL1A2, SP7, CXCL12, ANGPT1, SPP1, JAG2 and CDH2 with the isolated osteoblasts. We found that malnutrition led to osterix and OPG decreased protein expression and lower ANGPT1 gene expression. We evaluated LSK cell (Lin-Sca1+c-Kit+) proliferation by CFSE (carboxyfluorescein succinimidyl ester). LSK cells and osteoblasts (MC3T3-E1) cocultures were performed in the presence and absence of anti-CD44. After a week, we found lower proliferation of LSK in the malnourished. The LSK CD44 blocking in the control group decreased the proliferation of these three generations. However, as for the malnourished, such blockage did not affect proliferation. We concluded that the PM has promoted changes in bone tissue and the CTH. However, we can\'t claim that the alterations observed in hematopoietic system were due to endosteal niche-only changes.
Sarkar, Soumyadipta. "Methods on Probabilistic Structural Vibration using Stochastic Finite Element Framework." Thesis, 2016. http://hdl.handle.net/2005/3071.
Повний текст джерелаHsi-Ling, Chou, and 周希瓴. "Enhance Decabrominated Diphenyl Ether Biodegradation in The Soil/water Sstem by UV Irradiation." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/4kw56m.
Повний текст джерела東吳大學
微生物學系
103
Decabrominated diphenyl ether (DBDE) is a brominated flame retardant that is commonly used in many commercial products, which has been identified as an endocrine disrupting compound. Sorption of DBDE within the soil/water system can result in serious bioaccumulation within the ecological system and be a threat to human health. The objective of this study was to explore DBDE biodegradation using the lab-scale different soil/water system. In addition, the influence of the UV light radiation on DBDE biodegradation was investigated. As results, it was found that an effective biodegradation of DBDE as a sole carbon source occurred in all soil/water system. The biometabolites were identified as polybrominated diphenyl ethers (PBDE) congeners including tri-BDE to hepta-BDE and hydroxylated brominated diphenyl ether. Catechol 2,3-oxygense genes, which are able to bring about meta-cleavage at specific unbrominated locations in carbon backbones, were identified as present during the DBDE biodegradation. No obvious effect on the ecological functional potential based on community-level physiological profiling (CLPP) was observed during DBDE biodegradation and one major facultative Pseudomonas sp. (99% similarity) was identified in the various soil/water system. The mechanism of DBDE biodegradation in the soil/water system was identified as a series of biological reactions involving hydroxylation and reductive debromination. The DBDE biodegradation in the presence of 365 nm UVA irradiation over 10 months was investigated in a clay/water system. The rate constants for DBDE degradation gave values ranging from 0.0121 to 0.0134/day in the presence of UV irradiation, which were significantly higher than the 0.0092-0.0102/day values obtained in complete darkness. The aerobic metabolites: 2’,3’-dihydroxy-4-bromodiphenyl ether and 2’,3’-dihydroxy-diphenyl ether were identified by GC-MS. Specific bacteria capable of degrading PBDEs (Pseudomonas sp., Hydrogenophaga sp., Methloversatilis sp.) and carrying out nitrification/denitrification (Nitrosomonas sp., Pseudomonas sp.) were identified. The present findings suggest that systems using a novel combination of photolysis and biodegradation could be developed to carry out DBDE remediation in the future.
Mallajosyula, V. Vamsee Aditya. "Design of Influenza Immunogens by Hemagglutinin (HA) Protein Minimization." Thesis, 2014. http://hdl.handle.net/2005/3051.
Повний текст джерелаSingh, Samar B. "Study of Higher Order Split-Step Methods for Stiff Stochastic Differential Equations." Thesis, 2013. http://etd.iisc.ernet.in/2005/3354.
Повний текст джерелаКниги з теми "SSFEM"
Pak, Sŏng-gŭn oe. Ssaem, mwŏ haseyo? Kyŏnggi-do P'aju-si: Kyoyuk Kwahaksa, 2021.
Знайти повний текст джерелаGonzález Canché, Manuel S. Spatial Socio-econometric Modeling (SSEM). Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24857-3.
Повний текст джерелаYu, Sang-jun. Panmyŏn kyosa Sang-jun ssaem ŭi chŏngŭi iyagi. Sŏul T'ŭkpyŏlsi: Han'guk Munhwasa, 2020.
Знайти повний текст джерелаMoim, Chŏn'guk Chiri Kyosa. Chiri ssaem kwa hamkke hanŭn uri nara tosi yŏhaeng. Sŏul-si: P'oksŭ K'onŏ, 2016.
Знайти повний текст джерелаKim, Chŏng-hŭi. Se pak'wi ro tallinŭn hŭimang chajon'gŏ: Chŏng-hŭi Ssaem kwa ttŏnanŭn Samdŏk-tong munhwa kihaeng. Sŏul-si: Imaejin, 2009.
Знайти повний текст джерелаŬn, Tong-jin. Chosŏn ŭl p'ungmi han 16-in ŭi soul meit'ŭ: Ŭn Ssaem i tŭllyŏ chunŭn yŏksajŏk mannam iyagi. Kyŏnggi-do P'aju-si: Idam Books, 2020.
Знайти повний текст джерелаMusimk'o chinach'yŏttŏn uri tongne tongnip undongga iyagi: Yŏksa ssaem i tŭllyŏ chunŭn nansaeng ch'ŏŭm 35-yŏn Han'guk tongnipsa. Sŏul: Miksŭ K'ŏp'i, 2022.
Знайти повний текст джерелаM, Addison G., ed. Inherited disorders of vitamins and cofactors: Proceedings of the 22nd Annual Symposium of the SSIEM, Newcastle upon Tyne, September 1984. Lancaster, England: MTP Press, 1985.
Знайти повний текст джерелаSociety for the Study of Inborn Errors of Metabolism. Symposium. Studies in inherited metabolic disease: Lipoproteins ethical issues : proceedings of the 25th Annual Symposium of the SSIEM, Sheffield, UK, September 1987. Dordrecht: Kluwer Academic, 1988.
Знайти повний текст джерелаSociety for the Study of Inborn Errors of Metabolism. Symposium. Studies in inherited metabolic diseases: Prenatal and perinatal diagnosis : proceedings of the 26th Symposium of the SSIEM, Glasgow, UK, September 1988. Dordrecht: Kluwer Academic, 1989.
Знайти повний текст джерелаЧастини книг з теми "SSFEM"
Giovanis, Dimitris G., and Vissarion Papadopoulos. "A Variability Response-Based Adaptive SSFEM." In Multiscale Modeling and Uncertainty Quantification of Materials and Structures, 203–14. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06331-7_13.
Повний текст джерелаGonzález Canché, Manuel S. "SSEM Regression Based Analyses." In Springer Texts in Social Sciences, 353–446. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24857-3_8.
Повний текст джерелаZschocke, Johannes. "SSIEM Classification of Inborn Errors of Metabolism." In Physician's Guide to the Diagnosis, Treatment, and Follow-Up of Inherited Metabolic Diseases, 817–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40337-8_55.
Повний текст джерелаLaptev, Dmitry, Alexander Vezhnevets, Sarvesh Dwivedi, and Joachim M. Buhmann. "Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, 323–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33415-3_40.
Повний текст джерелаLaptev, Dmitry, and Joachim M. Buhmann. "SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data." In Neural Connectomics Challenge, 105–15. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53070-3_9.
Повний текст джерелаHuang, Wei, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Dong Liu, and Feng Wu. "Learning to Restore ssTEM Images from Deformation and Corruption." In Computer Vision – ECCV 2020 Workshops, 394–410. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66415-2_26.
Повний текст джерелаKaynig, Verena, Thomas J. Fuchs, and Joachim M. Buhmann. "Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, 209–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15745-5_26.
Повний текст джерелаChoi, Sangbok, Sang Kyoo Paik, Yong Chul Bae, and Minho Lee. "SSTEM Cell Image Segmentation Based on Top-Down Selective Attention Model." In Neural Information Processing, 759–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10677-4_87.
Повний текст джерелаJasmine Begum, A. R., and T. Abdul Razak. "A Novel Coherence Particle Swarm Optimization Algorithm with Specified Scrutiny of FCM (CPSO-SSFCM) in Detecting Leukemia for Microscopic Images." In Communications in Computer and Information Science, 58–73. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0716-4_6.
Повний текст джерелаSirrs, S., C. Hollak, M. Merkel, A. Sechi, E. Glamuzina, M. C. Janssen, R. Lachmann, et al. "The Frequencies of Different Inborn Errors of Metabolism in Adult Metabolic Centres: Report from the SSIEM Adult Metabolic Physicians Group." In JIMD Reports, 85–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/8904_2015_435.
Повний текст джерелаТези доповідей конференцій з теми "SSFEM"
Eliason, Travis, Loren Francis, Todd Bredbenner, Brian Stemper, Dan Nicolella, Barry Shender, and Glenn Paskoff. "Lateral Impact Validation of a Probabilistic Statistical Shape Finite Element Model of the Head and Neck." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65154.
Повний текст джерелаDi Pasquale, F., H. E. Hernandez-Figueroa, R. D. Ettinger, F. A. Fernandez, and J. B. Davies. "Numerical Study of Active Three-Waveguide Nonlinear Directional Coupler." In Nonlinear Guided-Wave Phenomena. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/nlgwp.1993.md.11.
Повний текст джерелаLaptev, D., A. Veznevets, and J. M. Buhmann. "Superslicing frame restoration for anisotropic sstem." In 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014). IEEE, 2014. http://dx.doi.org/10.1109/isbi.2014.6868090.
Повний текст джерелаSayar, Alperen, Suayb S. Arslan, and Tuna Cakar. "SSQEM: Semi-Supervised Quantum Error Mitigation." In 2022 7th International Conference on Computer Science and Engineering (UBMK). IEEE, 2022. http://dx.doi.org/10.1109/ubmk55850.2022.9919474.
Повний текст джерелаChen, Shengguo, Zhengxing Sun, Jie Zhou, and Yi Li. "Semi-supervised image segmentation combining SSFCM and Random Walks." In 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE, 2012. http://dx.doi.org/10.1109/ccis.2012.6664393.
Повний текст джерелаKaynig, Verena, Thomas Fuchs, and Joachim M. Buhmann. "Neuron geometry extraction by perceptual grouping in ssTEM images." In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2010. http://dx.doi.org/10.1109/cvpr.2010.5540029.
Повний текст джерелаHe, Xingchen, Lianshan Yan, Lin Jiang, Anlin Yi, Zhengyu Pu, Youren Yu, Wei Pan, and Bin Luo. "Data-driven Optical Fiber Channel Modeling Using Fourier Neural Operator." In CLEO: Science and Innovations. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_si.2022.sm4j.6.
Повний текст джерелаCzyz, Piotr, Andrzej Reinke, Artur Cichowski, and Wojciech Sleszynski. "Performance comparison of a 650 V GaN SSFET and CoolMOS." In 2016 10th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). IEEE, 2016. http://dx.doi.org/10.1109/cpe.2016.7544228.
Повний текст джерелаWilczynski, K., and A. Nastaj. "SSEM-AG Computer Model for Optimization of Polymer Extrusion." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13074.
Повний текст джерелаCivelli, S., E. Forestieri, A. Lotsmanov, D. Razdoburdin, and M. Secondini. "Coupled-Channel Enhanced SSFM for Digital Backpropagation in WDM Systems." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/ofc.2021.m3h.7.
Повний текст джерела