Relevant bibliographies by topics / SSFEM

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  2. Dissertations / Theses
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  4. Book chapters
  5. Conference papers

Academic literature on the topic 'SSFEM'

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Published: 6 September 2023

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Journal articles on the topic "SSFEM"

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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.

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Poński, 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.

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Farah, 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.

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In this paper, the applicability and the effectiveness of the probabilistic finite element methods (FEMs) such as the perturbation method, and the Spectral Stochastic Finite Element Method (SSFEM) applied to the reliability analysis of the slope stability have been studied. The results were checked by the Monte Carlo simulation and a direct coupling ap-proach combining the deterministic finite elements code and First Order Reliability Method (FORM) algorithm. These methods are presented considering the spatial variation of soil strength parameters and Young modulus. The random field is used to describe the spatial variation. Also, the reliability analysis is conducted using a performance function formulat-ed in terms of the stochastic stress mobilized along the sliding surface. The present study shows that the perturbation method and SSFEM can be considered as practical methods to conduct a second moment analysis of the slope stability taking into account the spatial variability of soil properties since good results are obtained with acceptable estimated rela-tive errors. Finally, the perturbation method is performed to delimit the location of the critical probabilistic sliding surfac-es and to evaluate the effect of the correlation length of soil strength parameters on the safety factor. In addition, the two methods are used to estimate the probability density and the cumulative distribution function of the factor of safety.
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KAMITAIRA, 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.

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Hussein, 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.

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Pranesh, 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.

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Collectif. "SSFAM." Bulletin 1024, no. 14 (November 2019): 22–24. http://dx.doi.org/10.48556/sif.1024.14.22.

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Lee, Philip. "SSIEM column." Journal of Inherited Metabolic Disease 29, no. 1 (February 2006): 2. http://dx.doi.org/10.1007/s10545-006-0002-z.

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Blau, 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.

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Huang, 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.

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Soil salinization has become one of the main factors restricting sustainable development of agriculture. Field spectrometry provides a quick way to predict the soil salinization. However, soil moisture content (SMC) seriously interferes with the spectral information of saline soil in arid areas. It is vital to establish a model that is insensitive to SMC for potential in situ field applications. The soil spectral reflectance exponential model (SSREM) has been widely employed for reflectance simulation and SSC inversion. However, its reliability for saline soils with high SMC has not been verified yet. Based on hyperspectral remote sensing data (400~1000 nm) on 459 saline soil samples in Shiyang River Basin of Northwest China, we investigated the role of SMC and SSC in soil spectral reflectance from 29 October 2020 to 22 January 2021. Targeted at saline soils, soil spectral moisture threshold (MT) was introduced to improve the SSREM toward a modified spectral reflectance exponential model (MT-SSREM). The bands that are sensitive to SSC but not sensitive to SMC were obtained based on a method of correlation analysis between original spectra, four kinds of spectral data, and SSC. SSREM and MT-SSREM were finally applied to inversely estimate SSC. Results show that wavelengths at 658~660, 671~685, 938 nm were suitable for SSC estimation. Furthermore, although SSREM was able to simulate the spectral reflectance of most saline soils, its simulation accuracy was low for saline soil samples with high SMC (SMC > MT(i), 400 nm≤i≤1000 nm), while MT-SSREM performed well over the whole range of SMC. The simulated spectral reflectance from MT-SSREM agreed well with the measured reflectance, with the R2 being generally larger than 0.9 and RMSE being less than 0.1. More importantly, MT-SSREM performed substantially better than SSREM for SSC estimation; in the statistical performance of the former case, R2 was in range of 0.60~0.66, RMSE was in range of 0.29~0.33 dS m−1; in the latter case, R2 was in range of 0.10~0.16, RMSE was in the range of 0.26~0.29 dS m−1. MT-SSREM proposed in this study thus provides a new direction for estimating hyperspectral reflectance and SSC under various soil moisture conditions at wavelengths from 400 to 1000 nm. It also provides an approach for SSC and SMC mapping in salinization regions by incorporating remote sensing data, such as GF-5.
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Dissertations / Theses on the topic "SSFEM"

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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/.

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The new developments in coding theory research have revolutionized the application of coding to practical systems. Low-Density Parity Check (LDPC) codes form a class of Shannon limit approaching codes opted for digital communication systems that require high reliability. This thesis investigates the underlying relationship between the spectral properties of the parity check matrix and LDPC decoding convergence. The bit error rate of an LDPC code is plotted for the parity check matrix that has different Second Smallest Eigenvalue Modulus (SSEM) of its corresponding Laplacian matrix. It is found that for a given (n,k) LDPC code, large SSEM has better error floor performance than low SSEM. The value of SSEM decreases as the sparseness in a parity-check matrix is increased. It was also found from the simulation that long LDPC codes have better error floor performance than short codes. This thesis outlines an approach to analyze LDPC decoding based on the eigenvalue analysis of the corresponding parity check matrix.
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Tsujita, 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/.

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O nicho endosteal da medula óssea abriga as células-tronco hemopoéticas (CTH) em quiescência/autorrenovação. As CTH podem ser classificadas em dois grupos: células que reconstituem a hemopoese em longo prazo (LT-CTH) e curto prazo (CT-CTH). Investigamos, neste trabalho, os efeitos da desnutrição proteica (DP) no tecido ósseo e a participação do nicho endosteal na sinalização osteoblasto-CTH. Para tanto, utilizamos camundongos submetidos à DP induzida pelo consumo de ração hipoproteica. Os animais desnutridos apresentaram pancitopenia e diminuição nas concentrações de proteínas séricas e albumina. Quantificamos as CTH por citometria de fluxo e verificamos que os desnutridos apresentaram menor porcentagem de LT-CTH, CT-CTH e de progenitores multipotentes (PMP). Avaliamos a expressão das proteínas CD44, CXCR4, Tie-2 e Notch-1 nas LT-CTH. Observamos diminuição da expressão da proteína CD44 nos desnutridos. Isolamos as células LT-CTH por cell sorting e avaliamos a expressão gênica de CD44, CXCR4 e NOTCH-1. Verificamos que os desnutridos apresentaram menor expressão de CD44. Em relação ao ciclo celular, verificamos maior quantidade de LT-CTH nas fases G0/G1. Caracterizamos as alterações do tecido ósseo femoral, in vivo. Observamos diminuição da densidade mineral óssea e da densidade medular nos desnutridos. A desnutrição acarretou diminuição da área média das seções transversais, do perímetro do periósteo e do endósteo na cortical do fêmur dos animais. E na região trabecular, verificou-se diminuição da razão entre volume ósseo e volume da amostra e do número de trabéculas, aumento da distância entre as trabéculas e prevalência de trabéculas ósseas em formato cilíndrico. Avaliamos a expressão de colágeno, osteonectina (ON) e osteocalcina (OC) por imuno-histoquímica, e de osteopontina (OPN) por imunofluorescência no fêmur e verificamos diminuição da marcação para OPN, colágeno tipo I, OC e ON nos desnutridos. Evidenciamos, pela técnica do Picrosírius, desorganização na distribuição das fibras colágenas e presença de fibras tipo III nos fêmures dos desnutridos, além de maior número de osteoclastos evidenciados pela reação da fosfatase ácida tartarato resistente. Os osteoblastos da região femoral foram isolados por depleção imunomagnética, imunofenotipados por citometria de fluxo e cultivados em meio de indução osteogênica. Observamos menor positividade para fosfatase alcalina e vermelho de alizarina nas culturas dos osteoblastos dos desnutridos. Avaliamos, por Western Blotting, a expressão de colágeno tipo I, OPN, osterix, Runx2, RANKL e osteoprotegerina (OPG), e, por PCR em tempo real, a expressão de COL1A2, SP7, CXCL12, ANGPT1, SPP1, JAG2 e CDH2 nos osteoblastos isolados. Verificamos que a desnutrição acarretou diminuição da expressão proteica de osterix e OPG e menor expressão gênica de ANGPT1. Avaliamos a proliferação das células LSK (Lin-Sca1+c-Kit+) utilizando ensaio de CFSE (carboxifluoresceína succinimidil ester). Foi realizada cocultura de células LSK e osteoblastos (MC3T3-E1) na presença e ausência de anti-CD44. Após uma semana, verificamos menor proliferação das LSK dos desnutridos. O bloqueio de CD44 das LSK do grupo controle diminuiu a proliferação destas em três gerações. Entretanto, nos desnutridos, esse bloqueio não afetou a proliferação. Concluímos que a DP promoveu alterações no tecido ósseo e nas CTH. Entretanto, não podemos afirmar que as alterações observadas no sistema hemopoético foram decorrentes de alterações exclusivas do nicho endosteal.
The 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.
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Sarkar, Soumyadipta. "Methods on Probabilistic Structural Vibration using Stochastic Finite Element Framework." Thesis, 2016. http://hdl.handle.net/2005/3071.

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Analysis of vibration of systems with uncertainty in material properties under the influence of a random forcing function is an active area of research. Especially the characterization based on mode shapes and frequencies of linear vibrating systems leads to much discussed random eigenvalue problem, which repeatedly appears while analyzing a number of engineering systems. Such analyses with conventional schemes for significant variation of system parameters for large systems are often not viable because of the high computational costs involved. Appropriate tools to reduce the size of stochastic vibrating systems and efficient response calculation are yet to mature. Among the mathematical tools used in this case, polynomial chaos formulation of uncertainties shows promise. But this comes with the implementation issue of solving large systems of nonlinear equations arising from Bubnov-Galerking projection in the formulation. This dissertation reports the study of such dynamic systems with uncertainties characterized by the probability distribution of eigen solutions under a stochastic finite element framework. In the context of structural vibration, the determination of appropriate modes to be considered in a stochastic framework is not straightforward. In this dissertation, at first the choice of dominant modes in stochastic framework is studied for vibration problems. A relative measure, based on the average energy contribution of each mode to the system, is developed. Further the interdependence of modes and the effect of the shape of the load on the choice of dominant modes are studied. Using these considerations, a hybrid algorithm is developed based on polynomial chaos framework for the response analysis of a structure with random mass and sickness and under the influence of random force. This is done by using modal truncation for response analysis with in a Monte Carlo loop. The algorithm is observed to be more efficient and achieves a high degree of accuracy compared to conventional techniques. Considering the fact that the Monte Carlo loops within the above mentioned hybrid algorithm is easily parallelizable, the efficient implementation of it depends on the SFE solution. The set of nonlinear equations arising from polynomial chaos formulation is solved using matrix-free Newton’s iteration using GMRES as linear solver. Solution of a large system using a iterative method like GMRES necessitates the use of a good preconditioner. Keeping focus on the par-allelizability of the algorithm, a number of efficient but cheap-to-construct preconditioners are developed and the most effective among them is chosen. The solution process is parallelized for large systems. The scalability of solution process in conjunction with the preconditioner is studied in details.
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Hsi-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.

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博士
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.
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Mallajosyula, V. Vamsee Aditya. "Design of Influenza Immunogens by Hemagglutinin (HA) Protein Minimization." Thesis, 2014. http://hdl.handle.net/2005/3051.

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Influenza virus is a pleiomorphic human pathogen which causes self-limiting respiratory illness lasting one-two weeks in most individuals. However, in immunologically compromised individuals, influenza infection may lead to severe morbidity and fatality. Annual epidemics cause 250,000-500,000 deaths worldwide and remain a major public health threat. The virus has evolved mechanisms of antigenic ‘drift’ and ‘shift’ to evade the host immune response. Hence, current influenza vaccines need to be updated every few years. Moreover, the currently available inactivated/live attenuated vaccines entail virus culture in embryonated chicken eggs hindering rapid scale-up. The aforementioned limitations of the current vaccines has had debilitating effect when strain mismatch between vaccine formulation and influenza viruses circulating within the population has occurred in the past, despite intensive monitoring. Public health is further compromised when an unpredictable mixing event among influenza virus genomes leads to antigenic shift, facilitating a potential pandemic outbreak. These concerns have expedited efforts towards developing a ‘universal’ flu vaccine. Influenza hemagglutinin (HA) is the primary target of the humoral response during infection/vaccination. The precursor polypeptide, HA0, is assembled into a trimer along the secretory pathway and transported to the cell surface. Cleavage of HA0 generates the mature, disulfide linked HA1 and HA2 subunits. Mature HA has a globular head domain which mediates receptor binding and is primarily composed of the HA1 subunit while the stem domain predominantly comprises of the HA2 subunit. The HA stem is trapped in a metastable state and undergoes an extensive low-pH induced conformational rearrangement in the host-cell endosomes to adopt the virus-host membrane fusion competent state. The ‘antigenic sites’ on the immunodominant globular head of HA are subjected to heightened immune pressure resulting in escape variants, thereby limiting the breadth of head-directed neutralizing antibodies (nAbs). As opposed to the highly-variable head domain, the HA stem is conserved and targeted by several broadly neutralizing antibodies (bnAbs) with neutralizing activity against diverse influenza A virus subtypes. Although several bnAbs bind to the conserved HA stem, focusing the immune response to this conserved, subdominant stem domain in presence of the variable head domain of HA has been challenging. Alternatively, mimicking the epitope of these stem-directed bnAbs in the native, pre-fusion conformation in a ‘headless’ stem immunogen capable of eliciting a broadly protective immune response has been difficult because of the metastable conformation of HA. Addressing the aforementioned challenges, we describe the design and characterization of novel influenza immunogens by HA protein minimization. Chapter 1 gives an overview of the influenza virus life cycle, and outlines the structural organization and function of viral proteins. The conventional vaccines that are currently used and their limitations are described in this chapter. Recent improvements in influenza vaccine production focusing on recombinant HA as an alternate solution are discussed. Painstaking efforts of several groups in the recent past has led to the isolation of bnAbs that recognize novel ‘antigenic signatures’ within the globular head and the HA stem domains. Attempts to focus the immune response to these ‘cross-protective’ epitopes are described. The design and characterization of trimeric HA stem-fragment immunogens from influenza A Group-1 viruses which mimic the native, pre-fusion conformation of HA are described in Chapter 2. We engineered ‘headless’ HA stem immunogens based on influenza A/Puerto Rico/8/34 (H1N1) subtype. H1HA10-Foldon, a trimeric derivative of our parent construct (H1HA10), bound conformation sensitive stem-directed bnAbs such as CR6261, F10 and FI6v3 with high affinity (equilibrium dissociation constant [KD] of 10-50nM). The designed immunogens elicited broadly cross-reactive antiviral antibodies which neutralized highly drifted influenza virus strains belonging to both Group-1 (H1, H5 subtypes) and 2 (H3 subtype) in vitro. Significantly, stem immunogens designed from unmatched, highly drifted influenza strains conferred protection against a lethal (2LD90) heterologous A/Puerto Rico/8/34 virus challenge in mice. Our immunogens conferred robust subtype-specific and modest heterosubtypic protection in vivo. In contrast to previous HA stem domain immunogens, the designed immunogens described here were purified from the soluble fraction in E.coli. These HA stem-fragment immunogens do not aggregate even at high concentrations and are cysteine-free which eliminates the complications arising from incorrect disulfide-linked, misfolded conformations. The aforementioned properties of the HA stem-fragment immunogens make it amenable for scalability at short notice which is vital during pandemic outbreaks. The detailed mechanism(s) by which our ‘headless’ stem immunogens provide protection need further investigation. The long central α-helices (LAH) located in the HA stem assemble together into a parallel, trimeric coiled-coil. Immunization with the wt-LAH (76-130 of HA2) derived synthetic peptide designed from an H3 subtype (H3N2 A/Hong Kong/1/68) and conjugated to keyhole limpet hemocyanin (KLH) was shown previously to elicit antibodies reactive in ELISA with multiple hemagglutinin subtypes and to confer protection against challenge with H3N2, H1N1 and H5N1 virus strains. The LAH peptide sequence was chosen based on maximal binding to the monoclonal antibody (MAb), 12D1, which has broad neutralizing activity against influenza viruses of the H3 subtype. These results motivated us to rationally design stabilized derivatives of wt-LAH and test their protective capacity in a mouse challenge model of influenza. This work is described in Chapter 3. Additionally, to understand the contribution towards protection conferred by the two distinct surface exposed patches on LAH, we designed constructs spanning different stretches of LAH. The biophysical characterization of the LAH-derived constructs indicates that most of them were well-folded. All these constructs were moderately immunogenic in mice but at best, conferred limited protection from lethal viral challenge. In contrast to previously reported results, our data suggests that the LAH in the absence of other regions of HA may require not only strong, but also specific adjuvantation to induce a robust and functional immune response in vivo. Chapter 4 describes an immunogen design (H1pHA9) based on the globular head domain of pandemic H1N1 HA which can be produced using a prokaryotic expression system. The HA-fragment, H1pHA9, stably refolds to mimic the conformation sensitive neutralizing epitopes in the globular head domain of HA. We have also successfully engineered the HA head domain to delineate the epitope of antibodies neutralizing the pandemic H1N1 virus using a yeast cell-surface display platform. In this direction, we report the isolation of a novel, neutralizing murine MAb, MA2077, against the pandemic H1N1 virus. The epitope of this MAb has been mapped onto the ‘Sa’ antigenic site. The ability of the head domain fragment, H1pHA9, which binds MA2077 with high affinity to elicit such neutralizing antibodies in vivo needs to be further explored. Structural analysis has shown that elements of the HA stem diverge between the two phylogenetic groups. Therefore, to mitigate the threat of circulating influenza A viruses from these distinct structural classes (H1 and H3 belonging to Groups 1 and 2 respectively), in lieu of a ‘universal’ vaccine, a combination of immunogens derived from both the groups is a practical alternative. In Chapter 5 we describe the design of stem-fragment immunogens from an influenza A Group-2 virus strain. We report the characterization of engineered ‘headless’ HA stem immunogens based on influenza A/Hong Kong/1/68 (H3N2) subtype. The designed immunogens were expressed in E.coli and purified from the soluble fraction with abundant yields (~15mg/lt). The HA stem-fragment immunogens could be concentrated to high concentrations without aggregation. While, H3HA10-IZ and H3HA10-Foldon, the trimeric derivatives of our parent construct (H3HA10) which were folded, conferred modest protection against a lethal homologous virus challenge in mice, there is considerable scope to improve our immunogen design. Analyzing the results from our previous work (Chapter 2), we speculate that structural elements at the N-terminus of A-helix are critical for helix initiation. We therefore extended the design to include residues from the start of the A-helix. We designed the extended stem immunogens from both H3 and H7 subtypes. The proteins were purified from the soluble fraction of the E.coli cell culture lysate. Preliminary studies suggest that extension of the A-helix has aided proper folding. These proteins need to be further characterized and evaluated in an animal model.
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Singh, Samar B. "Study of Higher Order Split-Step Methods for Stiff Stochastic Differential Equations." Thesis, 2013. http://etd.iisc.ernet.in/2005/3354.

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Stochastic differential equations(SDEs) play an important role in many branches of engineering and science including economics, finance, chemistry, biology, mechanics etc. SDEs (with m-dimensional Wiener process) arising in many applications do not have explicit solutions, which implies the development of effective numerical methods for such systems. For SDEs, one can classify the numerical methods into three classes: fully implicit methods, semi-implicit methods and explicit methods. In order to solve SDEs, the computation of Newton iteration is necessary for the implicit and semi-implicit methods whereas for the explicit methods we do not need such computation. In this thesis the common theme is to construct explicit numerical methods with strong order 1.0 and 1.5 for solving Itˆo SDEs. The five-stage Milstein(FSM)methods, split-step forward Milstein(SSFM)methods and M-stage split-step strong Taylor(M-SSST) methods are constructed for solving SDEs. The FSM, SSFM and M-SSST methods are fully explicit methods. It is proved that the FSM and SSFM methods are convergent with strong order 1.0, and M-SSST methods are convergent with strong order 1.5.Stiffness is a very important issue for the numerical treatment of SDEs, similar to the case of deterministic ordinary differential equations. Stochastic stiffness can lead someone to use smaller step-size for the numerical simulation of the SDEs. However, such issues can be handled using numerical methods with better stability properties. The analysis of stability (with multidimensional Wiener process) shows that the mean-square stable regions of the FSM methods are unbounded. The analysis of stability shows that the mean-square stable regions of the FSM and SSFM methods are larger than the Milstein and three-stage Milstein methods. The M-SSST methods possess large mean square stability region as compared to the order 1.5 strong Itˆo-Taylor method. SDE systems simulated with the FSM, SSFM and M-SSST methods show the computational efficiency of the methods. In this work, we also consider the problem of computing numerical solutions for stochastic delay differential equations(SDDEs) of Itˆo form with a constant lag in the argument. The fully explicit methods, the predictor-corrector Euler(PCE)methods, are constructed for solving SDDEs. It is proved that the PCE methods are convergent with strong order γ = ½ in the mean-square sense. The conditions under which the PCE methods are MS-stable and GMS-stable are less restrictive as compared to the conditions for the Euler method.
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Books on the topic "SSFEM"

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Pak, Sŏng-gŭn oe. Ssaem, mwŏ haseyo? Kyŏnggi-do P'aju-si: Kyoyuk Kwahaksa, 2021.

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González Canché, Manuel S. Spatial Socio-econometric Modeling (SSEM). Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24857-3.

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Yu, Sang-jun. Panmyŏn kyosa Sang-jun ssaem ŭi chŏngŭi iyagi. Sŏul T'ŭkpyŏlsi: Han'guk Munhwasa, 2020.

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Moim, Chŏn'guk Chiri Kyosa. Chiri ssaem kwa hamkke hanŭn uri nara tosi yŏhaeng. Sŏul-si: P'oksŭ K'onŏ, 2016.

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Kim, Chŏng-hŭi. Se pak'wi ro tallinŭn hŭimang chajon'gŏ: Chŏng-hŭi Ssaem kwa ttŏnanŭn Samdŏk-tong munhwa kihaeng. Sŏul-si: Imaejin, 2009.

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Ŭn, 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.

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Musimk'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.

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M, 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.

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Society 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.

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Society 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.

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Book chapters on the topic "SSFEM"

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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.

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González 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.

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Zschocke, 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.

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Laptev, 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.

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Laptev, 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.

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Huang, 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.

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Kaynig, 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.

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Choi, 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.

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Jasmine 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.

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Sirrs, 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.

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Conference papers on the topic "SSFEM"

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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.

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Injury prediction and mitigation are common overarching goals of modern biomechanical research. This research is fundamental to preventing and mitigating injuries sustained by those exposed to dangerous conditions including but not limited to occupational hazards, warfighter risks, automotive accidents, etc. Unlike traditional mechanical system research, biological systems are difficult and costly to test resulting in a need for robust and accurate numerical simulations. Models of the cervical spine are complex, nonlinear systems that must accurately model dynamic loading, large deflections, elastic, and viscoelastic behavior. In addition to individual complexities, population variance in both material properties and shape must be taken into account for accurate injury prediction. As part of a hierarchical validation and verification (V&V) methodology, lateral impact cadaveric cervical spine experiments were compared to a high fidelity statistical shape finite element model (SSFEM) of the cervical spine and head. Specimens were mounted to a sled and accelerated using a pendulum impact with 1, 2, and 3 m/s impact velocities. The kinematics of the head and all individual cervical vertebrae were recorded with a Vicon motion capture system along with sled acceleration data. Sled accelerations were used as input boundary conditions for the probabilistic study using the SSFEM. Head and vertebrae rotations between the experimental and model responses were then compared. A latin hypercube probabilistic analysis was performed for each impact velocity to determine the probabilistic response of each rotation metric. When comparing these responses, both the average and variation must be taken into consideration. This is accomplished using a quantitative validation metric based on the area between the cumulative distribution functions (CDF) of experimental response and the computed probabilistic response. Our results showed a very good match between the model and experiment at the higher impact velocities and a slightly stiffer response at lower rates. These results are consistent with previous validation studies performed with this SSFEM. By expanding the validation data set with lateral impact loading, greater confidence in the model is obtained under different loading modes. This confidence allows the model to be used for probability of injury predictions as well as to identify important system variables in preventing injuries. High fidelity numeric modeling allows for rapid and cost effective assessment of hazardous loading conditions and safety equipment compared to experimental modeling. The knowledge gained from these modeling studies is fundamental and necessary for safe and effective design and injury mitigation.
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Di 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.

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Active and nonlinear waveguides have been investigated extensively in recent years, because of the possibility of performing all-optical signal processing in integrated optical circuits. Erbium-doped silica waveguides, in particular, can provide at the same time high gain [1],[2] and an intensity dependent refractive index with large nonlinear coefficient [3]. These features can improve the performance of all-optical switching devices [4] and suggest fascinating new operation conditions. In this paper, the behaviour of an active nonlinear three-slab directional coupler operating at 1.53μm is numerically investigated with a split-step finite-element method (SSFEM) [5], which allows accurate numerical simulations.
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Laptev, 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.

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Sayar, 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.

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Chen, 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.

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Kaynig, 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.

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He, 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.

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We utilize Fourier neural operator to accurately model a 1200km optical fiber channel. It can achieve similar performance compared with SSFM, while with lower computational complexity (the running time is reduced from 30s to 0.09s).
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Czyz, 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.

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Wilczynski, 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.

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The optimization of an extrusion process is a conflicting, multi-objective problem. It is complicated by the number of variables (screw/die geometry, operating conditions, material data) and their non-linear relations, as well as by the opposing criteria, for example extrusion throughput and power consumption. It is difficult to find the global optimum for the process avoiding local optima. There are two approaches to solve the problem, experimental and using a mathematical model of extrusion. Optimization techniques based on an experimentation are time-consuming and very expensive. In this paper we present an optimization methodology based on the Genetic Algorithms (AG), where response surface is given by the extrusion model. A mathematical Single-Screw Extrusion Model SSEM developed at the Warsaw University of Technology is used to predict the extruder behavior, and AG approach is used for optimization. An integrated SSEM-AG system was developed to study optimization of the single-screw extrusion process. Three design criteria (output variables) are selected for optimization: maximum extrusion throughput, minimum power consumption and low melt temperature. As input variables, screw speed, barrel temperature and screw channel depth are chosen.
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Civelli, 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.

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