Journal articles: '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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Zeng, Qibin, Celine Sim, Anna Marie Yong, Hui Kim Hui, Yunjie Chen, Lei Zhang, Chee Kiang Ivan Tan, Huajun Liu, and Kaiyang Zeng. "Emerging multi-frequency surface strain force microscopy." Journal of Applied Physics 133, no. 4 (January 28, 2023): 040901. http://dx.doi.org/10.1063/5.0131075.

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During the past decade, Scanning Probe Microscopy (SPM) based surface strain detection techniques have been extensively used in the characterization of functional materials, structures, and devices. Here, we refer these techniques as Surface Strain Force Microscopy (SSFM), which mainly includes the Piezoresponse Force Microscopy, Atomic Force Acoustic Microscopy, Atomic Force Microscopy-Infrared spectroscopy (or photothermal induced resonance), Piezomagnetic Force Microscopy, and Scanning Joule Expansion Microscopy. The inception of SSFM opens up a pathway to study the nanoscale physical properties by using a sharp tip to detect the local field-induced surface strain. Through measuring the signals of the surface strain, multiple physical properties, such as the electromechanical, mechanical, photothermal, magnetic, thermoelastic properties, can be characterized with an unprecedented spatial resolution. In order to further develop and overcome the fundamental issues and limitations of the SSFM, the multi-frequency SPM technology has been introduced to the SSFM-based techniques, leading to the emerging of multi-frequency SSFM (MF-SSFM). As a technical breakthrough of the SSFM, MF-SSFM has demonstrated substantial improvements in both performance and capability, resulting in increased attentions and numerous developments in recent years. This Perspective is, therefore, aimed at providing a preliminary summary and systematic understanding for the emerging MF-SSFM technology. We will first introduce the basic principles of conventional SSFM and multi-frequency SPM techniques, followed by a detailed discussion about the existing MF-SSFM techniques. MF-SSFM will play an increasingly important role in future nanoscale characterization of the physical properties. As a result, many more advanced and complex MF-SSFM systems are expected in the coming years.

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Vieira, Lúcia, Diogo Filipe, Diogo Amaral, Rui Magalhães, Nicole Martins, Marta Ferreira, Rodrigo Ozorio, et al. "Solid-State Fermentation as Green Technology to Improve the Use of Plant Feedstuffs as Ingredients in Diets for European Sea Bass (Dicentrarchus labrax) Juveniles." Animals 13, no. 17 (August 23, 2023): 2692. http://dx.doi.org/10.3390/ani13172692.

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This study aimed to evaluate the utilization by juvenile European sea bass of a SSFed PF mixture with Aspergillus niger CECT 2088. A 22-day digestibility and a 50-day growth trial were performed testing four diets, including 20 or 40% of an unfermented or SSFed PF mixture (rapeseed, soybean, rice bran, and sunflower seed meals, 25% each). SSF of the PF added cellulase and β-glucosidase activity to the diets. Mycotoxin contamination was not detected in any of the experimental diets except for residual levels of zearalenone and deoxynivalenol (100 and 600 times lower than that established by the European Commission Recommendation-2006/576/EC). In diets including 20% PF, SSF did not affect growth but increased apparent digestibility coefficients of protein and energy, feed efficiency, and protein efficiency ratio. On the contrary, in diets including 40% PF, SSF decreased growth performance, feed intake, feed and protein efficiency, and diet digestibility. SSF decreased the intestinal amylase activity in the 40% SSFed diet, while total alkaline proteases decreased in the 20% and 40% SSFed diets. Hepatic amino acid catabolic enzyme activity was not modulated by SSF, and plasma total protein, cholesterol, and triglyceride levels were similar among dietary treatments. In conclusion, dietary inclusion of moderate levels of the SSFed PF, up to 20%, improves the overall feed utilization efficiency without negatively impacting European sea bass growth performance. The replacement of PF with the SSFed PF mixture may contribute to reducing the environmental footprint of aquaculture production.

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Mo, Hanning, Shangping Li, Guiqing He, Bang Zeng, and Chen Qiu. "Dynamic Characteristics of a Simulated Sugarcane Field Exciter for Small Sugarcane Harvesters." Discrete Dynamics in Nature and Society 2022 (February 12, 2022): 1–22. http://dx.doi.org/10.1155/2022/3209449.

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The sugarcane harvester vibration has a bad effect on the sugarcane cutting quality. The effect of sugarcane field roughness on the sugarcane harvester vibration is much more significant than those of cutting forces and the engine. In order to simulate sugarcane field roughness, a simulated sugarcane field exciter (SSFE) was developed to actuate a self-developed sugarcane harvester experiment platform (SHEP). The dynamics and the mathematical models of the SHEP were established. Simulations of the mathematical model show these two models are reasonable. The dynamic characteristic experiment of the SSFE shows it matches characteristics of sugarcane field roughness, but great lateral oscillations existed when it worked. Then the SSFE II was developed. The dynamic characteristic experiment of the SSFE II shows it matches characteristics of sugarcane field roughness and improves the SSFE. The modal test of the SHEP was done to further study dynamic characteristics of the SSFE II. With the SSFE II, simulated experiments of sugarcane harvesters under complete vibration causing conditions can be done in labs instead of sugarcane fields to avoid the low efficiency, poor security, and bad reliability during experiments in sugarcane fields.

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Zhou, Yanjie, Fan Lu, Xiao Ma, Xueyuan Huang, Chenguang Wang, and Xijun He. "An efficient symplectic stereo-modeling method for seismic inversion by using deep learning technique." Journal of Geophysics and Engineering 19, no. 4 (July 29, 2022): 750–60. http://dx.doi.org/10.1093/jge/gxac048.

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Abstract This paper proposes an efficient symplectic stereo-modeling (SSTEM) method for full waveform inversion (FWI) by using a deep learning technique. To solve the 2D acoustic equation, the SSTEM method uses a third-order optimal symplectic partitioned Runge–Kutta approach as a time-stepping method. An eighth-order stereo-modeling operator is used for spatial discretization. The SSTEM method is then expressed with a recurrent neural network (RNN). This is realized mainly because the time advancing format of the SSTEM method is similar to that of RNN, and they both use the information from the previous time step to obtain information from the current time step. With SSTEM as the forward modeling method, FWI is implemented using Tensorflow. The well-known adaptive moment estimation (Adam) optimizer and Nesterov adaptive moment estimation (Nadam) optimizer with mini-batch are used. The applicability of the developed code is also verified on GPUs. The numerical results show that the SSTEM method is more efficient and produces less numerical dispersion than the conventional finite-difference (FD) method when the same sampling rate in a wavelength is used. We compare several loss functions. The mean square (MSE) error and absolute (ABS) error loss functions are first tested. Another loss function that adds a physical differential operator to the original loss function is then considered. The FWI results show that this loss function has some improvements. Finally, we implement FWI on the complex Marmousi and SEG/EAGE models, and the inversion results demonstrate that the proposed method is suitable for seismic imaging in complex media.

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Rodriguez, Sarah L., Maria L. Espino, Brian D. Le, and Kelly Cunningham. "The influence of policy implementation in the Midwest: How an SSTEM program broadens participation and enhances engineering identity for community college students." education policy analysis archives 29 (March 8, 2021): 29. http://dx.doi.org/10.14507/epaa.29.5429.

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This qualitative research study describes how a Midwest community college’s implementation of an Scholarships in Science, Technology, Engineering, and Mathematics (SSTEM) program influences engineering identity development for its students with financial need. Using a phenomenological approach, the study finds that the program enables community college students to have greater financial freedom and an ability to focus on engineering identity. In addition, the SSTEM program enhances student connections with STEM faculty, program staff, and peers. The study highlights the need for creating spaces for engineering identity development, developing connections between faculty, staff, and students, and enhancing transfer connections through different experiences. Future research might look to longitudinal designs and investigate additional contexts, engineering disciplines, gender differences, and programmatic structures to add nuance to these findings. The study suggests that practitioners might frame SSTEM and engineering experiences as opportunities for financial freedom and identity development and make further enhancements to transfer connections to four-year institutional partners. In terms of policy, the study suggests that policymakers consider identity development experiences an important aspect of funding SSTEM programs while enhancing programmatic support services available to students and placing greater emphasis on the collaborative actions, planned activities, and power dynamics between two- and four-year institutions funded by the SSTEM program.

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Zaman Khan, Qaiser uz, Mohamed Hechmi El Ouni, Ali Raza, and Thamer Alomayri. "Mechanical behavior of electronic waste concrete columns reinforced with structural fibers and glass fiber reinforced polymer bars: Experimental and analytical investigation." Advances in Structural Engineering 25, no. 2 (October 19, 2021): 374–91. http://dx.doi.org/10.1177/13694332211049988.

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Nowadays, the improper disposal of electronic waste (E-waste) is creating environmental pollution and health problems in developing countries. Moreover, the corrosion of steel bars reduces the serviceability of reinforced concrete columns. Although many researchers studied the behavior of glass fiber reinforced polymer (GFRP) bars in concrete columns, none of the studies investigated the structural performance of structural fiber-reinforced E-waste concrete (SFEC) columns having GFRP reinforcement. The present study aims to examine the structural performance of GFRP reinforced concrete circular columns consisting of polypropylene structural fibers (GSFEC columns) under concentric and eccentric loading. Identical steel bars reinforced concrete columns (SSFEC columns) were also manufactured and tested to failure under the same loading conditions. The experimental program consisted of 18 circular columns (1200 mm × 300 mm) to measure the axial capacity (AC), axial deflections, failure modes, and cracking patterns under different eccentric loadings. The AC of SSFEC columns was larger while the ductility was lower than GSFEC columns. Both GSFEC and SSFEC columns illustrated similar damaging behavior. The eccentric loading led to similar decreases in AC for both GSFEC and SSFEC columns.

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Tsang, D. K. L., and S. O. Oyadiji. "Super singular element method for two-dimensional crack analysis." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 464, no. 2098 (May 20, 2008): 2629–48. http://dx.doi.org/10.1098/rspa.2007.0265.

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Super singular element method (SSEM) is an accurate method devoted to stress singularity analysis accomplished by stress analysts who have little or no experience of fracture mechanics. The basic idea of SSEM is to transform nodal displacements inside a superelement to global variables, which are the coefficients of the Williams eigenfunction series (ES) that accurately represents crack tip singularity. The stress singularity is modelled by the superelement and the Williams' ES, hence refining the finite-element meshes near the singular point and creation of crack faces can be avoided. The stress intensity factor, T -stress, and the higher order coefficients can be obtained directly from the global variables without any post-processing. The implementation of the SSEM is rather easy; since only matrix multiplication and transformation are required. The SSEM has been incorporated into standard finite-element program ABAQUS. Several two-dimensional crack problems have been performed to compare the SSEM with published results.

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Lipke, Elisabeth, Thomas Hörnschemeyer, Anahita Pakzad, Christopher R. Booth, and Peter Michalik. "Serial Block-Face Imaging and its Potential for Reconstructing Diminutive Cell Systems: A Case Study from Arthropods." Microscopy and Microanalysis 20, no. 3 (February 20, 2014): 946–55. http://dx.doi.org/10.1017/s1431927614000087.

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AbstractUntil recently, three-dimensional reconstruction on an ultrastructural level was only possible using serial section transmission electron microscopy (ssTEM). However, ssTEM is highly challenging and prone to artifacts as, e.g., section loss and image distortions. New methods, such as serial block-face scanning electron microscopy (SBFSEM) overcome these limitations and promise a high lateral resolution. However, little is known about the usability of SBFSEM in diminutive, but highly complex cellular systems. We used spider sperm (~3 µm in diameter), which fulfills these conditions, to analyze the potential of SBFSEM compared with ssTEM. Our data suggest that the resolution obtained by SBFSEM allows depicting structures on a cellular level and is sufficient to discriminate subcellular components, but is highly dependent on previous staining procedures and electron density of the target structures.

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Chen, Li Hong, Shu Yu, and Hong Tao Zhang. "Discussion of Criteria of Shear Strength Reduction FEM." Advanced Materials Research 243-249 (May 2011): 1279–82. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.1279.

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Shear strength reduction finite element method (SSRFEM) has been a main technique for stability analysis of slope. Although SSRFEM has advantages to deal with complex geometry and nonlinear material, the criteria for failure is still argued. Ideal elastoplastic model and rheological model were both adopted, and the results of computation showed that using the intersection of two straight lines as failure point was more appropriate. The usage and advantage of two different material models was compared.

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Song, Lei, Jie-Ying Ding, Cui Tang, and Chun-Hua Yin. "Compositions and Biological Activities of Essential Oils of Kadsura longepedunculata and Schisandra sphenanthera." American Journal of Chinese Medicine 35, no. 02 (January 2007): 353–64. http://dx.doi.org/10.1142/s0192415x07004874.

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The chemical compositions, antimicrobial activities, antioxidant activities and cytotoxicities of the essential oils isolated from the root of Kadsura longepedunculata Finet et Gagnep (KLREO) and the fruit of Schisandra sphenanthera Rehd. et Wills. (SSFEO) were investigated.The analyses of gas chromatography-mass spectrometry (GC-MS) showed that cadinane type compounds and their derivatives were rich in both oils (54.2% and 39.7%, respectively) and δ-cadinene was the major component of both oils (13.8% and 25.6%, respectively). The antimicrobial activities of both oils were evaluated against five microorganisms with the disc diffusion and the broth micro-dilution method. Results showed that Gram-positive bacteria were more sensitive to both oils than Gram-negative bacteria and the yeast. The minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of the oil of KLREO were lower than those of SSFEO, indicating that the former possessed slightly stronger antibacterial capability than the latter. The reducing power and lipid peroxidation assays were employed to study the potential antioxidant activities of both oils. Both oils remarkably decreased the content of malondialdehyde (MDA) in rat liver homogenate in a dose dependent manner. The antioxidant activities of KLREO appeared to be more potent than that of SSFEO. The oils of KLREO and SSFEO exhibited concentration-dependent cytotoxicities and were proved to be toxic to HepG2 cells with IC50 of 147 and 189 μg/ml, respectively.

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Salafuddin, Ahmad, De Rosal Ignatius Moses Setiadi, Desi Purwanti Kusumaningrum, Eko Hari Rachmawanto, and Christy Atika Sari. "Pengembangan Website Radio SSFM Semarang dengan Codeigniter Berbasis Model View Controller." Eksplora Informatika 8, no. 1 (September 28, 2018): 36. http://dx.doi.org/10.30864/eksplora.v8i1.145.

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Radio SSFM Semarang merupakan salah satu radio yang pernah populer di Semarang. Radio ini merupakan salah satu anak perusahaan Suara Merdeka grup. Radio SSFM Semarang perlu dikembangkan kembali agar dapat bersaing dengan radio lain. Salah satu yang perlu dikembangkan adalah website radio SSFM. Website ini sebelumnya hanya digunakan untuk melakukan streaming dan dibuat dengan PHP biasa yang belum menggunakan framework sehingga akan sulit dilakukan maintenance. Penelitian ini melakukan perancangan ulang untuk membuat perubahan yang signifikan pada website, sehingga penyiaran juga dapat dilakukan dengan sistem berbasis web yang modern, kreatif dan inovatif. Framework Codeigniter dan metode Model View Controller (MVC) diusulkan untuk mengimplementasikan website SSFM Semarang. Penggunaan framework Codeigniter dan metode MVC diusulkan agar website dapat lebih mudah dipelihara, cepat, andal dan mudah diakses. Website yang telah dibangun telah diuji dengan metode black-box dan uji performa dengan pengukuran waktu load website. Hasil pengujian menunjukkan bahwa penggunaan metode MVC dapat meningkatkan performa kecepatan load website. Dengan hasil pengembangan website ini diharapkan developer tidak perlu banyak dalam melakukan perubahan kode saat melakukan maintenance karena website sudah terstruktur dengan metode MVC.

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Hu, Zhenbang, Gedong Jiang, Xuesong Mei, Xialun Yun, and Yun Zhang. "Online Prediction of Milling Inner Hole Roundness Error Based on Accurate SSEM Value Extraction." Shock and Vibration 2019 (August 5, 2019): 1–16. http://dx.doi.org/10.1155/2019/6049316.

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To improve the machining accuracy and production efficiency of precision components with deep hole structures, an online prediction method of the inner hole roundness error, which cannot be directly measured in real time during the machining process, is proposed in this paper. For online prediction of the workpiece roundness error (WRE) during machining, a predictive model based on correlation analysis and a proportional method is proposed according to the spindle synchronous error motion (SSEM) by three-probe method testing. To improve the prediction accuracy of the WRE, a particle swarm optimization (PSO) algorithm is introduced for optimizing a probe mounting angle of a three-probe method, and a harmonic wavelet method for SSEM feature extraction is proposed. Using the PSO algorithm, the optimal probe mounting angle of the three-probe method is obtained, the influence of spindle surface roundness on SSEM is eliminated, and the higher-order harmonic suppression of the three-probe method is avoided effectively. By the harmonic wavelet method, the accurate SSEM extraction is enhanced and the WRE prediction accuracy is promoted. The experiments show that the inner hole roundness error online prediction method proposed in this paper has high prediction accuracy.

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Recknor, Christopher P., Daniel Van Dussen, Norma MacIntyre, and Julie Recknor. "Functional risk for fracture by safe functional motion testing: a short version of the safe functional motion test." Therapeutic Advances in Musculoskeletal Disease 11 (January 2019): 1759720X1985601. http://dx.doi.org/10.1177/1759720x19856012.

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Background: ‘Unsafe’ movement strategies used to perform everyday activities were quantified using scores for tasks included in the Short Form Safe Functional Motion test series (SSFM). Baseline scores were independently associated with incident fractures after adjusting for factors known to effect fracture risk. The purpose of the present study is to determine whether the SSFM, a series of tests of habitual motion, is associated with incident fragility fracture at any skeletal sites. Methods: An osteoporosis clinic database was queried for adults with baseline SSFM scores and corresponding data for prevalent fractures, femoral neck bone mineral density (fnBMD), osteoporosis medication use, and incident fractures at 1-year and 3-year follow ups [ n = 1700 (118 incident fractures) and n = 1058 (202 incident fractures), respectively]. Multiple logistic regressions, adjusted for sex, age, fnBMD, osteoporosis medication use, and any prevalent fractures at baseline, were used to determine whether baseline SSFM scores were associated with incident fragility fractures. Results: An Sfm-3 score was a significant independent predictor of any fracture at 1 year [adjusted odds ratio (95% CI) = 1.118 (1.025, 1.219) for each 10-point decrease in Sfm-3; p = 0.012], and 3-year follow up [adjusted odds ratio (95% CI) = 1.183 (1.098, 1.274) for each 10-point decrease in Sfm-3; p < 0.0001]. Conclusions: Scores on the SSFM predict fracture risk such that for each 10-point drop in score the odds of fracture are increased by up to 18% independent of risk associated with age, bone mineral density, use of bone-sparing medications, and history of a fracture.

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Coşkun, Turgay. "Annual symposium of the SSIEM 2010." Journal of Inherited Metabolic Disease 34, no. 3 (May 31, 2011): 561–62. http://dx.doi.org/10.1007/s10545-011-9355-z.

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Dabas, Bhawana, Jivesh Kaushal, Monika Rajput, and R. K. Sinha. "Study of Self Phase Modulation in Chalcogenide Glass Photonic Crystal Fiber." Applied Mechanics and Materials 110-116 (October 2011): 53–56. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.53.

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In this paper, Self Phase Modulation (SPM) in chalcogenide As2Se3glass Photonic Crystal Fiber (PCF) is numerically studied by combining the fully vectorial effective index method (FVEIM) and Split Step Fourier Method (SSFM). The FVEIM is used to calculate the variation of effective refractive index of guided mode (neff), effective area (Aeff), dispersion and non-linear coefficient (γ) with wavelength for different designs of chalcogenide As2Se3PCF. The FVEIM solves the vector wave equations and SSFM solves non linear Schrödinger Equation (NLSE) for the different designing parameter of As2Se3PCF. In case of Self Phase Modulation (SPM), spectral width of the obtained output pulse at d/Λ=0.7 is 1.5 times greater than width of the output pulse obtained at d/L=0.3 using SSFM. Thus we can get the desired spectral broadening just by tailoring the design parameters of the PCF.

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A., Bagbe, Obilade T.O., and Olatayo T.O. "A Sequential Structural Equation Modeling of Patient Satisfaction and Compliance to Treatment." African Journal of Mathematics and Statistics Studies 5, no. 3 (November 9, 2022): 87–98. http://dx.doi.org/10.52589/ajmss-ttzdf8ad.

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With the renewed concern about health care quality, there is a need for improved surveillance tools and focus on special age groups. While Structural Equation Model (SEM) is an important tool for surveillance, prediction and measuring intervention impact, the need to focus on reduction in bias necessitates the modification of SEM with Sequential Structural Equation Model (SSEM) to study some specific groups of health care delivery. This study formulated a model on patient satisfaction and compliance to treatment using SSEM of two stopping times with some exogenous, endogenous and mediating variables that generally influence health care delivery. SSEM modelling of Patient Satisfaction (PS) and Compliance to Treatment (CT) involves four latent variables (factors) and some manifest (dependent) variables. Statistical Packages for Social Sciences (SPSS) and Linear Structural Relationship (LISREL) 8.80 were adopted for the analysis. The study established that the fitted indices for the second stopping time meet the threshold rules in all cases when various fitting indices were used, and the fitted model result revealed an insignificant influence of PE on HS [R2 =0.012, F = 3.199, P >.05]. This indicates that PE contributed insignificantly to HS. Therefore, this study concluded that the procedure of sequential stopping time for hypothesised relationship showed that SSEM is useful in the drive towards quality patient health care and satisfaction. Hence, this confirmed that demographic variables are significant to patient experience.

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Zong, Xiaofeng, Fuke Wu, and Chengming Huang. "The moment exponential stability criterion of nonlinear hybrid stochastic differential equations and its discrete approximations." Proceedings of the Royal Society of Edinburgh: Section A Mathematics 146, no. 6 (July 19, 2016): 1303–28. http://dx.doi.org/10.1017/s030821051500089x.

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Based on the martingale theory and large deviation techniques, we investigate the pth moment exponential stability criterion of the exact and numerical solutions to hybrid stochastic differential equations (SDEs) under the local Lipschitz condition. This new stability criterion shows that Markovian switching can serve as a stochastic stabilizing factor by its logarithmic moment-generating function. We also investigate the pth moment exponential stability of Euler–Maruyama (EM), backward EM (BEM) and split-step backward EM (SSBEM) approximations for hybrid SDEs and show that, under the additional linear growth condition, the EM method can share the mean-square exponential stability of the exact solution for sufficiently small step size. However, the BEM method can work without the linear growth condition. We further investigate the SSBEM method under a coupled condition.

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WANG, Zhichong. "Differentiation of Eembryonic sStem cells into cCorneal eEpithelium." Science in China Series C 48, no. 5 (2005): 471. http://dx.doi.org/10.1360/04yc0050.

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Karall, Daniela, Sabine Scholl-Bürgi, and Johannes Zschocke. "“Crossing borders” SSIEM 2014 annual symposium in Innsbruck." Journal of Inherited Metabolic Disease 38, no. 4 (June 20, 2015): 619. http://dx.doi.org/10.1007/s10545-015-9875-z.

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Vianey-Saban, Christine. "« Les Confluences » SSIEM 2015 Annual Symposium in Lyon." Journal of Inherited Metabolic Disease 39, no. 4 (April 18, 2016): 481. http://dx.doi.org/10.1007/s10545-016-9934-0.

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Li, Yanlong, Wangtao Fan, Xuguang Chen, Yunhe Liu, and Bo Chen. "Safety Criteria and Standards for Bearing Capacity of Foundation." Mathematical Problems in Engineering 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/3043571.

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This paper focuses on the evaluation standards of factor of safety for foundation stability analysis. The problem of foundation stability is analyzed via the methods of risk analysis of engineering structures and reliability-based design, and the factor of safety for foundation stability is determined by using bearing capacity safety-factor method (BSFM) and strength safety-factor method (SSFM). Based on a typical example, the admissible factors of safety were calibrated with a target reliability index specified in relevant standards. Two safety criteria and their standards of bearing capacity of foundation for these two methods (BSFM and SSFM) were established. The universality of the safety criteria and their standards for foundation reliability was verified based on the concept of the ratio of safety margin (RSM).

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Sun, Haizhen, Ziyi Li, Yongji Wu, Xinjian Fan, Minglu Zhu, Tao Chen, and Lining Sun. "Analysis of Sequential Micromixing Driven by Sinusoidally Shaped Induced-Charge Electroosmotic Flow." Micromachines 13, no. 11 (November 16, 2022): 1985. http://dx.doi.org/10.3390/mi13111985.

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Multi-fluid micromixing, which has rarely been explored, typically represents a highly sought-after technique in on-chip biochemical and biomedical assays. Herein, we propose a novel micromixing approach utilizing induced-charge electroosmosis (ICEO) to implement multicomplex mixing between parallel streams. The variations of ICEO microvortices above a sinusoidally shaped floating electrode (SSFE) are first investigated to better understand the microvortex development and the resultant mixing process within a confined channel. On this basis, a mathematical model of the vortex index is newly developed to predict the mixing degree along the microchannel. The negative exponential distribution obtained between the vortex index and mixing index demonstrates an efficient model to describe the mixing performance without solving the coupled diffusion and momentum equations. Specifically, sufficient mixing with a mixing index higher than 0.9 can be achieved when the vortex index exceeds 51, and the mixing efficiency reaches a plateau at an AC frequency close to 100 Hz. Further, a rectangle floating electrode (RFE) is deposited before SSFE to enhance the controlled sequence for three-fluid mixing. One side fluid can fully mix with the middle fluid with a mixing index of 0.623 above RFE in the first mixing stage and achieve entire-channel mixing with a mixing index of 0.983 above SSFE in the second mixing stage, thereby enabling on-demand sequential mixing. As a proof of concept, this work can provide a robust alternative technique for multi-objective issues and structural design related to mixers.

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Merz, Leo. "2015 Chemistry Travel Award by SCNAT, SCS and SSFEC." CHIMIA International Journal for Chemistry 69, no. 7 (August 19, 2015): 478–81. http://dx.doi.org/10.2533/chimia.2015.478.

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Shortland, G. J., R. J. Pollitt, G. T. N. Besley, G. K. Brown, and G. F. Hoffmann. "The 34th Annual Symposium of the SSIEM - Cardiff 1996." Journal of Inherited Metabolic Disease 20, no. 2 (June 1997): 111–12. http://dx.doi.org/10.1023/a:1005398723303.

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Holme, E., R. J. Pollitt, G. T. N. Besley, G. K. Brown, and G. F. Hoffmann. "The 35th Annual Symposium of the SSIEM - Göteborg 1997." Journal of Inherited Metabolic Disease 21, no. 5 (August 1998): 453–54. http://dx.doi.org/10.1023/a:1005470501545.

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Todisco, Vincenzo, Giovanni Cirillo, Rocco Capuano, Alessandro d'Ambrosio, Gioacchino Tedeschi, and Antonio Gallo. "Stimulated single-fiber electromyography (sSFEMG) in Lambert-Eaton syndrome." Clinical Neurophysiology Practice 3 (2018): 148–50. http://dx.doi.org/10.1016/j.cnp.2018.07.001.

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37

Mohamed, Jamal Moideen Muthu, Nikita Mahajan, Mohamed El-Sherbiny, Shagufta Khan, Rasha Hamed Al-Serwi, Mohammed A. Attia, Qamar Alsayed Altriny, and Ahmed H. Arbab. "Ameliorated Stomach Specific Floating Microspheres for Emerging Health Pathologies Using Polymeric Konjac Glucomannan-Based Domperidone." BioMed Research International 2022 (July 13, 2022): 1–12. http://dx.doi.org/10.1155/2022/3670946.

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The goal of this study was to use polymeric konjac glucomannan (KGM), Kollidon VA 64 (KVA64), and glutaraldehyde to ameliorate stomach specific floating microspheres (SSFM) using domperidone (DoN) to increase in vivo bioavailability and emerging health pathologies. The SSFM were made using the emulsion cross-linking process, and the polymer was chosen based on its ability to get cross-linked. The thermodynamic parameters were used to determine the AL classes of phase solubility curves using ideal complexes produced with KVA64. The optimal interaction constants at 25 and 37°C were found to be 116.14 and 128.05 M-1, respectively. The prepared SSFM had an average particle size (PS) of 163.71 ± 2.26 mm and a drug content of 96.66 ± 0.32 %. It can be determined from in vitro drug release experiments that drug release is good in terms of regulated drug release after 12 h ( 92.62 ± 2.43 %). The SSFMs were approximately sphere-shaped and had smooth surfaces, according to the morphological data. SSFMs were investigated using Fourier transform infrared (FT-IR) spectroscopy, X-ray diffraction (XRD), and differential scanning calorimetry (DSC), and no chemical structural changes were identified. The SSFMs produces a considerable gastric residence time with optimal DoN release and absorption in stomach fluid, and the mean residence time ( 17.36 ± 1.4 h) and t 1 / 2 ( 10.47 ± 0.6 h) were considerably longer ( p < 0.05 ) than those obtained following i.v. treatment ( MRT = 8.42 ± 1.2 h; t 1 / 2 = 9.07 ± 0.7 h). The SSFMs maintained good physical stability for three months when stored at room temperature.

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Velia, Mariia, Olena Ruban, Maryna Khalavka, and Larisa Hohlova. "Research of the choice of the basis of a semi-solid medicine with a semi-solid extract of Feverfew (Tanacetum parthenium)." ScienceRise: Pharmaceutical Science, no. 1 (29) (February 27, 2021): 51–59. http://dx.doi.org/10.15587/2519-4852.2021.225764.

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The aim. To conduct the research on the choice of the basis for a mild drug with a semi-solid extract of feverfew for use in dermatology. Materials and methods. In the study of the solubility of a semi-solid extract of feverfew (SSFE) used the method of optical microscopy using a laboratory microscope “Konus Academy”. Determination of pH and homogeneity of the studied samples was performed according to the methods described in SPhU, Vol.1. The bioavailability of the model samples was investigated by diffusion in 3 % agar gel. Colloidal stability and thermal stability were determined according to the methods of GOST 29188.3-91. Measurements of rheological parameters were performed on a rotary viscometer “MYR 3000 V 2R” (Viskotech, Spain). Determination of particle distribution was performed using a laser diffraction analyzer of particle size Mastersizer 3000. Results. The best results in determining the organoleptic properties, stability and degree of release of biologically active substances (BAS) showed samples prepared on emulgel and gel bases. Structural and mechanical parameters of the samples on these bases proved the presence of a non-Newtonian type of flow with plastic and thixotropic properties. When determining the distribution of SSFE particles by optical diffraction, their smaller size was determined in the sample on an emulgel basis in comparison with the gel. Conclusions. Emulgel loaded with specific drugs has been found effective in some topical disorders, and it is emerging as potential drug delivery system in the area of dermatology. Since emu-lgel shows enhanced spreadability, adhesion, viscosity and extrusion. Based on the obtained results, an emulsion gel base was chosen as a carrier for a semi-solid drug with SSFE

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The Editors. "Preface: The 37th Annual Symposium of the SSIEM - Genova 1999." Journal of Inherited Metabolic Disease 23, no. 3 (May 2000): 195–96. http://dx.doi.org/10.1023/a:1005619610774.

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40

Jakobs, Cornelis. "SSIEM reflections 2004–2010: the growing stature of our society." Journal of Inherited Metabolic Disease 33, no. 6 (October 15, 2010): 641–44. http://dx.doi.org/10.1007/s10545-010-9218-z.

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41

Michelakakis, Helen. "“Old Roads—New Connections” SSIEM 2018 Annual Symposium in Athens." Journal of Inherited Metabolic Disease 43, no. 1 (January 2020): 1. http://dx.doi.org/10.1002/jimd.12212.

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Li, Rong Ye, Xiao Jun Tong, and Shan Zeng. "Neuron Classification Based on Semi-Supervised FCM Algorithm." Advanced Materials Research 709 (June 2013): 589–92. http://dx.doi.org/10.4028/www.scientific.net/amr.709.589.

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The weighted Semi-supervised FCM Algorithm which is based on HPR multiplier (SSFCM-HPR) [1] is used for neuron classification in this paper. 231 groups of neuron data from NeuronMorpho.Org [2] are used in experiments as training samples and testing samples. The classification accuracy of testing samples can reach 93.90% in the experiment. The classification accuracies of testing samples are above 90% if the percentage of training samples is higher than 20%.

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Panda, Sudhanshu S., Thomas H. Terrill, Ajit K. Mahapatra, Brian Kelly, Eric R. Morgan, and Jan A. van Wyk. "Site-Specific Forage Management of Sericea Lespedeza: Geospatial Technology-Based Forage Quality and Yield Enhancement Model Development." Agriculture 10, no. 9 (September 22, 2020): 419. http://dx.doi.org/10.3390/agriculture10090419.

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Site-specific forage management (SSFM), comprising growth observation, impact assessment, and timely strategic response to small variations in sericea lespedeza (SL; Lespedeza cuneata (Dum-Cours.) G. Don) production, has been envisioned as a life-changing approach for resource-poor (R-P) farmers in developing countries, assisting in the effective rearing of their small ruminants. The application of geospatial technologies, including geographic information systems (GIS), remote sensing, global navigation satellite system, and information technology, can support SSFM but has not been widely used for site-specific forage management. From our previous studies, it appears that the entire range of condensed tannins of lespedeza, namely extractable condensed tannin (ECT), fiber-bound condensed tannin (FBCT), and protein-bound condensed tannin (PBCT), as well as crude protein (CP), are excellent for promoting small ruminant digestion and overall health. The goal of this study was to develop an SSFM strategy for SL to enhance animal production in areas of drought-prone, low pH, marginally infertile soils. To achieve this goal, study objectives were to: (i) develop statistical and artificial neural networks-based (ANN) models to identify if a sound correlation exists among forage growth environmental features and SL-ECT content; (ii) determine suitability criteria, including climate, soil, and land use/land cover (LULC), for mass scale production of SL and collect supporting environmental geospatial data; and (iii) develop an automated geospatial model for SL growth suitability analysis in relation to optimal areas for its production in a case-study location. Telemetric data and individual climatologic parameters (including minimum, maximum, and average temperature, humidity, dewpoint, soil temperatures at three depths, soil moisture, evapotranspiration, total solar radiation, and precipitation) were found to correlate well (>75%) with the forage production parameters, including values of SL-ECT from the Fort Valley State University (FVSU) research station in Georgia in the southern United States. A backpropagation neural network (BPNN) model was developed using similar climatic input parameters, along with elevation (topography) and a normalized difference vegetation index (NDVI) to estimate the forage’s ECT with a testing root mean square error (RMSE) of 1.18%. With good correlation obtained between the climatic, soil, slope, and land cover input parameters, and SL-ECT as the output parameter, an SSFM model was developed with potential application to R-P farmers in areas suitable for SL establishment and growth. Eswatini (previously Swaziland), a landlocked country in southern Africa, in which numerous R-P small ruminant (sheep and goat) farmers reside, was used as the case study location to develop the SL production suitability model. Geospatial data were used for automated model development in an ArcGIS Pro ModelBuilder platform to provide information on where to grow SL efficiently to economically feed small ruminants. Land use/land cover, soil, topography, and climate based geospatial data of the region helped in the development of the automated SSFM geospatial model for spatial growth suitability location determination to assist farmers of Eswatini with their SL production decision making. This automated model can easily be replicated for farmers in other countries in Africa, as well as in other parts of the world having similar climatic conditions.

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de Mesy Bentley, K., C. Galloway, G. Muthukrishnan, E. Masters, S. Zeiter, E. Schwarz, and J. Leckenby. "UTILIZING SERIAL SECTION ELECTRON MICROSCOPY TO INTERROGATE STAPHYLOCOCCUS AUREUS BONE INFECTION." Orthopaedic Proceedings 105-B, SUPP_8 (April 11, 2023): 113. http://dx.doi.org/10.1302/1358-992x.2023.8.113.

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Serial section electron microscopy (SSEM) was initially developed to map the neural connections in the brain. SSEM eventually led to the term ‘Connectomics’ to be coined to describe process of following a cell or structure through a volume of tissue. This permits the true three-dimensionality to be appreciated and relationships between cells and structures. The purpose of this study was to utilize this methodology to interrogate S. aureus infected bone.Bone samples were harvested from mice tibia infected with S. aureus and were fixed, decalcified, and osmicated. The samples were paraffin embedded and 5-micron sections were cut to identify regions of bacterial invasion into the osteocyte-lacuna-canalicular-network (OLCN). This area was cut from the paraffin block, deparaffinized, post-fixed and reprocessed into epoxy resin. Serial sections were cut at 60nm and collected onto Kapton tape utilizing the Automated Tape-collecting Ultramicrotome (ATUMtome) system. Samples were mounted onto 4” silicon wafers and post-stained with 2% uranyl acetate followed by 0.3% lead citrate and carbon coated. A ZEISS GeminiSEM 450 scanning electron microscope fitted with an electron backscatter diffusion detector was used to image the sections. The image stack was aligned and segmented using the open-source software, VASTlite.264 serial sections were imaged, representing approximately 40 × 45 × 15-micron (x, y, z) volume of tissue. 70% of the canaliculi demonstrated infiltration by S. aureus.This study demonstrates that SSEM can be applied to the skeletal system and provide a new solution to investigate the OLCN system. It is feasible that this methodology could be implemented to investigate why some canaliculi are resistant to colonization and potentially opens up a new direction for the prevention of chronic osteomyelitis. In order to make this a realistic target, automated segmentation methodologies utilizing machine learning must be developed and applied to the bone tissue datasets.

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Cheng, Ao, Kai Kang, Zhanpeng Zhu, Ruobing Zhang, and Lirong Wang. "Improving the Neural Segmentation of Blurry Serial SEM Images by Blind Deblurring." Computational Intelligence and Neuroscience 2023 (January 19, 2023): 1–14. http://dx.doi.org/10.1155/2023/8936903.

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Serial scanning electron microscopy (sSEM) has recently been developed to reconstruct complex largescale neural connectomes, through learning-based instance segmentation. However, blurry images are inevitable amid prolonged automated data acquisition due to imprecision in autofocusing and autostigmation, which impose a great challenge to accurate segmentation of the massive sSEM image data. Recently, learning-based methods, such as adversarial learning and supervised learning, have been proven to be effective for blind EM image deblurring. However, in practice, these methods suffer from the limited training dataset and the underrepresentation of high-resolution decoded features. Here, we propose a semisupervised learning guided progressive decoding network (SGPN) to exploit unlabeled blurry images for training and progressively enrich high-resolution feature representation. The proposed method outperforms the latest deblurring models on real SEM images with much less ground truth input. The improvement of the PSNR and SSIM is 1.04 dB and 0.086, respectively. We then trained segmentation models with deblurred datasets and demonstrated significant improvement in segmentation accuracy. The A-rand decreased by 0.119 and 0.026, respectively, for 2D and 3D segmentation.

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Hussain, Nazabat, Asif Iqbal, and Varun Jeoti. "Investigation into an efficient numerical modelling approach for estimating path-loss over variable terrain." International Journal of Engineering & Technology 7, no. 2.3 (March 8, 2018): 26. http://dx.doi.org/10.14419/ijet.v7i2.3.9961.

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Different studies have been conducted for radio wave propagation in troposphere using different numerical modelling approaches. The most reliable approach is based on parabolic wave equation (PWE). The modelling of PWE is approached using different numerical schemes that include Split-step Fourier Transform Method (SSFM), Finite Element/Difference method and Wavelet based numerical method. The conventional Finite Element/Difference method are less accurate and/or computationally more expensive. While in comparison, split-step wavelet method (SSWM) is highly accurate and computationally very efficient. The SSWM has been previously used for modelling of PWE with smooth terrain. However, the real conditions are completely different as they contain variable terrain. The irregularities in surface of terrain have considerable influence because of reflection and diffraction on radio-wave propagation. In order to develop an effective communication system, a model that properly incorporates the reflection parameters from the variable terrain. In this research work, the SSWM is proposed for modelling of PWE for radio wave propagation over variable terrain. In SSWM, compactly supported wavelet of Daubechies 6 are used as bases. Obtained results accurately accounts the reflection from rough terrain surface and shows good agreement with SSFM.

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Ali, S. N. Abd, and H. A. Sultan. "Numerical Study of High-Order Soliton Generation in Photonic Crystal Fibers: Effect of the Pulse Shape and Its Duration." International Research Journal of Innovations in Engineering and Technology 06, no. 08 (2022): 72–78. http://dx.doi.org/10.47001/irjiet/2022.608010.

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High-order soliton generation in photonic crystal fibers was simulated using split-step Fourier method (SSFM) and MATLAB. The input pulse shape was studied for various types, super-Gaussian, chirped and pulses obtained from a train of individual Gaussian pulses. The study shows that the order of soliton generated depends on pulse shape, input power and dispersion and nonlinear parameters of the photonic crystal fiber.

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Wilczyñski, K. "SSEM: a computer model for a polymer single-screw extrusion." Journal of Materials Processing Technology 109, no. 3 (February 2001): 308–13. http://dx.doi.org/10.1016/s0924-0136(00)00821-9.

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Jiang, Weili, Zhenhua Chen, Yan Xiang, Dangguo Shao, Lei Ma, and Junpeng Zhang. "SSEM: A Novel Self-Adaptive Stacking Ensemble Model for Classification." IEEE Access 7 (2019): 120337–49. http://dx.doi.org/10.1109/access.2019.2933262.

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Tidswell, T., and M. Pitt. "Cross-correlational analysis of stimulated single fibre EMG (SSFEMG): A new approach." Clinical Neurophysiology 118, no. 5 (May 2007): e167. http://dx.doi.org/10.1016/j.clinph.2006.07.273.

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Journal articles on the topic 'SSFEM'

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