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1

Drits, V. A., B. A. Sakharov, A. L. Salyn, and A. Manceau. "Structural Model for Ferrihydrite." Clay Minerals 28, no. 2 (1993): 185–207. http://dx.doi.org/10.1180/claymin.1993.028.2.02.

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AbstractThe structure of 6-line and 2-line ferrihydrite (Fh) has been reconsidered. X-ray diffraction (XRD) curves were first simulated for the different structural models so far proposed, and it is shown that neither of these corresponds to the actual structure of ferrihydrite. On the basis of agreement between experimental and simulated XRD curves it is shown that Fh is a mixture of three components: (i) Defect-free Fh consisting of anionic ABACA . . . close packing in which Fe atoms occupy only octahedral sites with 50% probability; the hexagonal unit-cell parameters are a = 2-96 Å and c =
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2

Watanabe, Hiroshi C., Kai Welke, Franziska Schneider, et al. "Structural Model of Channelrhodopsin." Journal of Biological Chemistry 287, no. 10 (2012): 7456–66. http://dx.doi.org/10.1074/jbc.m111.320309.

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3

Rozhdestvenskaya, I. V., T. Kogure, E. Abe, and V. A. Drits. "A structural model for charoite." Mineralogical Magazine 73, no. 5 (2009): 883–90. http://dx.doi.org/10.1180/minmag.2009.073.2.883.

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AbstractThe crystal structure of charoite was investigated mainly by using selected-area electron diffraction (SAED), X-ray diffraction (XRD) and high-resolution electron microscopy (HREM). SAED and XRD patterns indicate that the structure has a monoclinic cell: a = 32.296, b = 19.651, c = 7.16 Å, β = 96.3° and V = 4517 Å3. The space group inferred from systematic absences and HREM images is P21/m. A model of the charoite structure is proposed that is based on the features of related Ca-alkaline silicate structures and HREM images. The structure of charoite consists of three different silicon-
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4

Wu, D. L. "Three-cell model and 5D braided structural composites." Composites Science and Technology 56, no. 3 (1996): 225–33. http://dx.doi.org/10.1016/0266-3538(95)00136-0.

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5

Kaduk, James A., and Thomas N. Blanton. "An improved structural model for cellulose II." Powder Diffraction 28, no. 3 (2013): 194–99. http://dx.doi.org/10.1017/s0885715613000092.

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A sample of cellulose II, prepared by deacetylation of cellulose acetate, has permitted more precise determination of the unit-cell parameters by the Rietveld method. Cellulose II is monoclinic, with space group P21c-axis unique (or P1121) (No. 4) and refined unit-cell parameters a = 8.076(13), b = 9.144(10), c = 10.386(20) Å, γ = 117.00(8)°, and V = 683.5(18) Å3. A density functional geometry optimization using these fixed unit-cell parameters has resulted in an improved structural model for cellulose II. A powder pattern calculated from this new model has been submitted to the ICDD for inclu
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6

Ptitsyn, O. B., A. V. Finkelstein, and A. G. Murzin. "Structural model for interferons." FEBS Letters 186, no. 2 (1985): 143–48. http://dx.doi.org/10.1016/0014-5793(85)80697-9.

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7

Alaimo, Andrea, Federico Marino, and Stefano Valvano. "BCC lattice cell structural characterization." Reports in Mechanical Engineering 2, no. 1 (2021): 77–85. http://dx.doi.org/10.31181/rme200102077v.

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In this work, a numerical characterization of BCC lattice cells is performed through the use of an homogenization approach. The main goal is to establish a relationship among those properties and the relative density of the cubic unit cell. The BCC cell struts diameter are the inputs parameters of the homogenization analysis campaing in order to vary the relative density of the unit cell. A linear periodic condition has been applied to the model in order to simulate a clear probing situation. Traction load tests are used in order to evaluate the Young modulus and the Poisson coefficient, diffe
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8

Alimonti, Luca, Abderrazak Mejdi, and Andrea Parrinello. "SEA model for structural acoustic coupling by means of periodic finite element models of the structural subsystems." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (2021): 5301–9. http://dx.doi.org/10.3397/in-2021-3044.

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Statistical Energy Analysis (SEA) often relies on simplified analytical models to compute the parameters required to build the power balance equations of a coupled vibro-acoustic system. However, the vibro-acoustic of modern structural components, such as thick sandwich composites, ribbed panels, isogrids and metamaterials, is often too complex to be amenable to analytical developments without introducing further approximations. To overcome this limitation, a more general numerical approach is considered. It was shown in previous publications that, under the assumption that the structure is ma
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9

Wei, Zhen Hai, Meng Shu Wang, and Ding Li Zhang. "Unit Cell Orthogonal Model for Stable Soil Structure." Applied Mechanics and Materials 193-194 (August 2012): 584–91. http://dx.doi.org/10.4028/www.scientific.net/amm.193-194.584.

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The problem of rock and soil structure has long been a major concern in the field of soil mechanics theory. Some literatures have made preliminary discussions of stable static soil structure. The structural and morphological diversity & complexity of rock and soil which is composed of large number of granules have been extensively recognized. We still only have a vague idea of the properties of rock and soil body with different structure and morphology. To further understand the effect of structure and morphology of rock and soil body on its properties, we established a unit cell orthogona
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10

Hilyard, N. C., and P. Collier. "A Structural Model for Air Flow in Flexible PUR Foams." Cellular Polymers 6, no. 6 (1987): 9–26. http://dx.doi.org/10.1177/026248938700600602.

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A new structural model based on the two term fluid flow equation of Gent and Rusch is described. The classical theory of flow through porous packed beds is used to relate the permeability and flow inertia coefficients to the average cell diameter, the tortuosity of the flow path and a skin friction coefficient. The model is used to predict how air flow is influenced by compression of the cellular matrix. Results of laboratory investigations are presented and compared with the model. For the most part good agreement is obtained for compressions up to about 60%. It is shown that the permeability
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11

Petersen, Richard C. "Free-Radical Polymer Science Structural Cancer Model: A Review." Scientifica 2013 (2013): 1–17. http://dx.doi.org/10.1155/2013/143589.

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Polymer free-radical lipid alkene chain-growth biological models particularly for hypoxic cellular mitochondrial metabolic waste can be used to better understand abnormal cancer cell morphology and invasive metastasis. Without oxygen as the final electron acceptor for mitochondrial energy synthesis, protons cannot combine to form water and instead mitochondria produce free radicals and acid during hypoxia. Nonuniform bond-length shrinkage of membranes related to erratic free-radical covalent crosslinking can explain cancer-cell pleomorphism with epithelial-mesenchymal transition for irregular
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12

Jones, P. M., and A. M. George. "A New Structural Model for P-Glycoprotein." Journal of Membrane Biology 166, no. 2 (1998): 133–47. http://dx.doi.org/10.1007/s002329900455.

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13

Ishida, Hideki, and Yoshinobu Shigenaka. "Cell model contraction in the ciliatespirostomum." Cell Motility and the Cytoskeleton 9, no. 3 (1988): 278–82. http://dx.doi.org/10.1002/cm.970090310.

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14

Balan, Vladimir, and Ileana Rodica Nicola. "Linear and structural stability of a cell division process model." International Journal of Mathematics and Mathematical Sciences 2006 (2006): 1–15. http://dx.doi.org/10.1155/ijmms/2006/51848.

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The paper investigates the linear stability of mammalian physiology time-delayed flow for three distinct cases (normal cell cycle, a neoplasmic cell cycle, and multiple cell arrest states), for the Dirac, uniform, and exponential distributions. For the Dirac distribution case, it is shown that the model exhibits a Hopf bifurcation for certain values of the parameters involved in the system. As well, for these values, the structural stability of the SODE is studied, using the five KCC-invariants of the second-order canonical extension of the SODE, and all the cases prove to be Jacobi unstable.
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15

Rosich, Albert, Fatiha Nejjari, and Ramon Sarrate. "Fuel Cell System Diagnosis based on a Causal Structural Model." IFAC Proceedings Volumes 42, no. 8 (2009): 534–39. http://dx.doi.org/10.3182/20090630-4-es-2003.00089.

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16

Rothbard, Jonathan B., Robert I. Lechler, Kevin Howland, et al. "Structural model of HLA-DR1 restricted T cell antigen recognition." Cell 52, no. 4 (1988): 515–23. http://dx.doi.org/10.1016/0092-8674(88)90464-3.

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17

Ravala, Sandeep, Sendi Adame-Garcia, Sheng Li, et al. "Structural dynamics in RhoGEF signaling investigated using model cell membranes." Biophysical Journal 123, no. 3 (2024): 152a. http://dx.doi.org/10.1016/j.bpj.2023.11.1042.

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18

Sohn, Shin-Young. "Structural Equation Model Related to Cell Phone Addiction in Korean Adolescents." Korean Journal of Health Service Management 10, no. 3 (2016): 185–97. http://dx.doi.org/10.12811/kshsm.2016.10.3.185.

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19

Bull, Larry. "Evolving Boolean Networks with Structural Dynamism." Artificial Life 18, no. 4 (2012): 385–97. http://dx.doi.org/10.1162/artl_a_00073.

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This short article presents an abstract, tunable model of genomic structural change within the cell life cycle and explores its use with simulated evolution. A well-known Boolean model of genetic regulatory networks is extended to include changes in node connectivity based upon the current cell state to begin to capture some of the effects of transposable elements. The evolvability of such networks is explored using a version of the NK model of fitness landscapes with both synchronous and asynchronous updating. Structural dynamism is found to be selected for in nonstationary environments with
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20

Szeto, W. Y., Bidisha Ghosh, Biswajit Basu, and Margaret O’Mahony. "Multivariate Traffic Forecasting Technique Using Cell Transmission Model and SARIMA Model." Journal of Transportation Engineering 135, no. 9 (2009): 658–67. http://dx.doi.org/10.1061/(asce)0733-947x(2009)135:9(658).

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21

SAMBETH, R., and A. BAUMGAERTNER. "LOCOMOTION OF A TWO DIMENSIONAL KERATOCYTE MODEL." Journal of Biological Systems 09, no. 03 (2001): 201–19. http://dx.doi.org/10.1142/s0218339001000396.

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The polymerization-induced propulsion of a model cell consisting of a cell membrane enclosing mobile actin molecules and polymerizing actin filaments is studied using Monte Carlo methods. It is shown that asymmetric polymerization alone induces a rectified motion of the cell. The structural organization of the locomoting cell exhibits an anisotropic shape induced by the anisotropic distribution of actin within the cell. This nonequilibrium distribution is maintained by a constant flow of actin molecules from the rear to the front of the cell. The efficiency of the rectification process, and he
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22

Santana Bonilla, Alejandro, Rafael Gutierrez, Leonardo Medrano Sandonas, Daijiro Nozaki, Alessandro Paolo Bramanti, and Gianaurelio Cuniberti. "Structural distortions in molecular-based quantum cellular automata: a minimal model based study." Phys. Chem. Chem. Phys. 16, no. 33 (2014): 17777–85. http://dx.doi.org/10.1039/c4cp02458c.

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Molecular-based quantum cellular automata (m-QCA) offer a novel alternative in which binary information can be encoded in the molecular charge configuration of a cell and propagated via nearest-neighbor Coulombic cell–cell interactions. Structural distortions of the cells may have however a sensitive influence on the m-QCA response and thus, potentially alter its functionality.
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23

Лихошвай, В. А., and V. A. Likhoshvai. "Phenotypic Variability of Bacterial Cell Cycle: Mathematical Model." Mathematical Biology and Bioinformatics 11, no. 1 (2016): 91–113. http://dx.doi.org/10.17537/2016.11.91.

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The results of the study of mechanisms of different cell phenotypes occurrence in a genetically homogenous population using the bacterial cell cycle model are presented. It was shown that phenotypic variability represents an internal, immanent property of bacteria. The basis of this phenomenon is universal non-linear properties of the conjugated transcription-translation system, that controls all cellular processes. Phenotypic variability occurs in a simple, deterministic, self-reproducing system under the uniform transmission of the structural components to the daughter cells during division
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24

Skinner, John J., Stacey Wood, James Shorter, S. Walter Englander, and Ben E. Black. "The Mad2 partial unfolding model: regulating mitosis through Mad2 conformational switching." Journal of Cell Biology 183, no. 5 (2008): 761–68. http://dx.doi.org/10.1083/jcb.200808122.

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The metamorphic Mad2 protein acts as a molecular switch in the checkpoint mechanism that monitors proper chromosome attachment to spindle microtubules during cell division. The remarkably slow spontaneous rate of Mad2 switching between its checkpoint inactive and active forms is catalyzed onto a physiologically relevant time scale by a self–self interaction between its two forms, culminating in a large pool of active Mad2. Recent structural, biochemical, and cell biological advances suggest that the catalyzed conversion of Mad2 requires a major structural rearrangement that transits through a
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25

Ebihara, A., A. Shinkai, M. Kanagawa, et al. "Structural and functional whole-cell project for the model organism,Thermus thermophilusHB8." Acta Crystallographica Section A Foundations of Crystallography 64, a1 (2008): C361. http://dx.doi.org/10.1107/s0108767308088466.

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26

Deshayes, Sébastien, Thomas Plénat, Gudrun Aldrian-Herrada, Gilles Divita, Christian Le Grimellec, and Frédéric Heitz. "Primary Amphipathic Cell-Penetrating Peptides: Structural Requirements and Interactions with Model Membranes†." Biochemistry 43, no. 24 (2004): 7698–706. http://dx.doi.org/10.1021/bi049298m.

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27

Reinsmoen, Nancy L., and Fritz H. Bach. "Structural model for T-cell recognition of HLA class II—associated alloepitopes." Human Immunology 27, no. 1 (1990): 51–72. http://dx.doi.org/10.1016/0198-8859(90)90095-7.

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28

Hamel, Virginie. "Expansion microscopy for structural cell biology: Centriole assembly as a case model." Biophysical Journal 123, no. 3 (2024): 336a. http://dx.doi.org/10.1016/j.bpj.2023.11.2043.

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29

Friedl, Peter, and Katarina Wolf. "Plasticity of cell migration: a multiscale tuning model." Journal of Cell Biology 188, no. 1 (2009): 11–19. http://dx.doi.org/10.1083/jcb.200909003.

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Cell migration underlies tissue formation, maintenance, and regeneration as well as pathological conditions such as cancer invasion. Structural and molecular determinants of both tissue environment and cell behavior define whether cells migrate individually (through amoeboid or mesenchymal modes) or collectively. Using a multiparameter tuning model, we describe how dimension, density, stiffness, and orientation of the extracellular matrix together with cell determinants—including cell–cell and cell–matrix adhesion, cytoskeletal polarity and stiffness, and pericellular proteolysis—interdependen
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30

Dorfmueller, Helge C., Andrew T. Ferenbach, Vladimir S. Borodkin, and Daan M. F. van Aalten. "A Structural and Biochemical Model of Processive Chitin Synthesis." Journal of Biological Chemistry 289, no. 33 (2014): 23020–28. http://dx.doi.org/10.1074/jbc.m114.563353.

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31

Cumberland, Max J., Jonas Euchner, Amar J. Azad, et al. "Generation of a human iPSC-derived cardiomyocyte/fibroblast engineered heart tissue model." F1000Research 12 (September 27, 2023): 1224. http://dx.doi.org/10.12688/f1000research.139482.1.

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Animal models have proven integral to broadening our understanding of complex cardiac diseases but have been hampered by significant species-dependent differences in cellular physiology. Human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have shown great promise in the modelling of cardiac diseases despite limitations in functional and structural maturity. 3D stem cell-derived cardiac models represent a step towards mimicking the intricate microenvironment present in the heart as an in vitro model. Incorporation of non-myocyte cell types, such as cardiac fibroblasts, into e
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32

Cumberland, Max J., Jonas Euchner, Amar J. Azad, et al. "Generation of a human iPSC-derived cardiomyocyte/fibroblast engineered heart tissue model." F1000Research 12 (February 12, 2024): 1224. http://dx.doi.org/10.12688/f1000research.139482.2.

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Animal models have proven integral to broadening our understanding of complex cardiac diseases but have been hampered by significant species-dependent differences in cellular physiology. Human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have shown great promise in the modelling of cardiac diseases despite limitations in functional and structural maturity. 3D stem cell-derived cardiac models represent a step towards mimicking the intricate microenvironment present in the heart as an in vitro model. Incorporation of non-myocyte cell types, such as cardiac fibroblasts, into e
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33

Betts, Matthew J., and Robert B. Russell. "The hard cell: From proteomics to a whole cell model." FEBS Letters 581, no. 15 (2007): 2870–76. http://dx.doi.org/10.1016/j.febslet.2007.05.062.

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34

Yu, Hongtao. "Structural activation of Mad2 in the mitotic spindle checkpoint: the two-state Mad2 model versus the Mad2 template model." Journal of Cell Biology 173, no. 2 (2006): 153–57. http://dx.doi.org/10.1083/jcb.200601172.

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The inheritance of a normal assortment of chromosomes during each cell division relies on a cell-cycle surveillance system called the mitotic spindle checkpoint. The existence of sister chromatids that do not achieve proper bipolar attachment to the mitotic spindle in a cell activates this checkpoint, which inhibits the ubiquitin ligase activity of the anaphase-promoting complex or cyclosome (APC/C) and delays the onset of anaphase. The mitotic arrest deficiency 2 (Mad2) spindle checkpoint protein inhibits APC/C through binding to its mitotic-specific activator, Cdc20. Binding of Mad2 to Cdc20
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35

Garrido, Joaquín María, Daniel Ponce de León, Antonio Berruguete, et al. "STUDY OF REFLECTION OF NEW LOW-REFLECTIVITY QUAY WALL CAISSON." Coastal Engineering Proceedings 1, no. 32 (2011): 27. http://dx.doi.org/10.9753/icce.v32.structures.27.

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This paper presents a new low-reflectivity quay wall caisson based on the formation of cell circuits. The cell circuit lengths can be adapted to the specific wave climate conditions at the construction site to obtain the best performance. Results from physical model tests of conventional and cell circuit caissons are described, as well as the construction process and steel reinforcement, which turns out to be quite similar to highly reflective conventional caissons. Neural Network (NN) models are used to describe the nonlinear relationship observed between experimental coefficients of reflecti
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36

Nayar, Rajiv, Colin P. S. Tilcock, Michael J. Hope, Pieter R. Cullis, and Alan J. Schroit. "N-Succinyldioleoylphosphatidylethanolamine: structural preferences in pure and mixed model membranes." Biochimica et Biophysica Acta (BBA) - Biomembranes 937 (1988): 31–41. http://dx.doi.org/10.1016/0005-2736(88)90224-6.

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37

Zengqiong, Huang, and Zhang Gangsheng. "A new structural model of bivalve ligament from Solen grandis." Micron 42, no. 7 (2011): 706–11. http://dx.doi.org/10.1016/j.micron.2011.03.010.

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38

Chu, Xiakun, and Jin Wang. "Deciphering the molecular mechanism of the cancer formation by chromosome structural dynamics." PLOS Computational Biology 17, no. 11 (2021): e1009596. http://dx.doi.org/10.1371/journal.pcbi.1009596.

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Cancer reflects the dysregulation of the underlying gene network, which is strongly related to the 3D genome organization. Numerous efforts have been spent on experimental characterizations of the structural alterations in cancer genomes. However, there is still a lack of genomic structural-level understanding of the temporal dynamics for cancer initiation and progression. Here, we use a landscape-switching model to investigate the chromosome structural transition during the cancerization and reversion processes. We find that the chromosome undergoes a non-monotonic structural shape-changing p
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39

Pepe, Daniele, and Jin Hwan Do. "Comparison of Perturbed Pathways in Two Different Cell Models for Parkinson's Disease with Structural Equation Model." Journal of Computational Biology 23, no. 2 (2016): 90–101. http://dx.doi.org/10.1089/cmb.2015.0156.

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40

Scott, R. D., D. J. Turcke, and W. F. Baird. "A UNIQUE INSTRUMENTATION SCHEME FOR MEASURING LOADS IN MODEL DOLOS UNITS." Coastal Engineering Proceedings 1, no. 20 (1986): 163. http://dx.doi.org/10.9753/icce.v20.163.

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An instrumentation scheme for the measurement of the structural response of dolos units in a physical model due to static and quasistatic forces is presented. This was achieved by the development of a specialized armour unit "load cell". The load cell was tested under a variety of loading conditions ranging from static point loads to the complex forces arising from simulated prototype wave action. In the final stage of testing, a model breakwater was constructed and analyzed. The results of these tests demonstrated the accuracy of the developed instrumentation and the feasibility of its use fo
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41

Panda, Subhamay, Dipak Prasad, and Indranil Bag. "THE BIOPHYSICAL CHARACTERISTICS AND STRUCTURAL EXPLORATION OF PROGRAMMED CELL DEATH REGULATOR B-CELL LYMPHOMA 2-ASSOCIATED X PROTEIN OF CHINESE LIVER FLUKE (CLONORCHIS SINENSIS)." Asian Journal of Pharmaceutical and Clinical Research 10, no. 7 (2017): 391. http://dx.doi.org/10.22159/ajpcr.2017.v10i7.19063.

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Objective: The balance between deaths and cellular life is regulated by B-cell lymphoma 2 (BCL-2)-associated X protein (BAX) an important pro-apoptotic components of BCL-2 family. With this initial point, the aim of this study was to determine a comparative composite based structure of BAX of Chinese liver fluke and different structural analysis.Methods: Protein amino acid of BAX of Chinese liver fluke mined from National Centre for Biotechnology Information (http://ncbi.nlm.nih.gov). Molecular model of BAX of Chinese liver fluke protein was generated by the comparative composite modeling tool
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42

Overaker, D. W., A. M. Cuitin˜o, and N. A. Langrana. "Elastoplastic Micromechanical Modeling of Two-Dimensional Irregular Convex and Nonconvex (Re-entrant) Hexagonal Foams." Journal of Applied Mechanics 65, no. 3 (1998): 748–57. http://dx.doi.org/10.1115/1.2789119.

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A nonlinear micromechanical model for two-dimensional irregular hexagonal foams has been developed that allows for anisotropy in morphology and/or material. Based upon the orientation, cross section, length, and material properties of each strut, the resulting microlevel beam behavior within the unit cell determines its structural properties. Nonlinearity is introduced as coupled elastoplastic beam behavior, where the elastoplastic behavior of each beam is considered. The analytical. formulation for the stiffness matrix of the general elastoplastic unit cell is. found by considering compatibil
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43

Wang, Longfang, and Weiliang He. "Analytical Study on Deformation and Structural Safety of Parafoil." International Journal of Aerospace Engineering 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/8924983.

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This study focuses on the cell bump distortion and bearing capacity of parafoil structure. Based on the mechanical properties of the membrane structure, the spanwise model of parafoil inflation was established and verified by comparing with the fluid-structure interaction (FSI) results. Because the internal pressure is very low, the chordwise stiffness is mainly generated by suspending lines. The chordwise model of inflated parafoil was established in consideration of elastic force and aerodynamic force. The results show that the cell is slenderer; the canopy surface is smoother; the aerodynam
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44

Pokutta, Sabine, Frauke Drees, Soichiro Yamada, W. James Nelson та William I. Weis. "Biochemical and structural analysis of α-catenin in cell–cell contacts". Biochemical Society Transactions 36, № 2 (2008): 141–47. http://dx.doi.org/10.1042/bst0360141.

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Cadherins are transmembrane adhesion molecules that mediate homotypic cell–cell contact. In adherens junctions, the cytoplasmic domain of cadherins is functionally linked to the actin cytoskeleton through a series of proteins known as catenins. E-cadherin binds to β-catenin, which in turn binds to α-catenin to form a ternary complex. α-Catenin also binds to actin, and it was assumed previously that α-catenin links the cadherin–catenin complex to actin. However, biochemical, structural and live-cell imaging studies of the cadherin–catenin complex and its interaction with actin show that binding
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45

Villanelo, Felipe, Alexis Ordenes, Juan Brunet, Rosalba Lagos, and Octavio Monasterio. "A model for the Escherichia coli FtsB/FtsL/FtsQ cell division complex." BMC Structural Biology 11, no. 1 (2011): 28. http://dx.doi.org/10.1186/1472-6807-11-28.

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46

UGARTE, JUAN P., CATALINA TOBÓN, ANTÓNIO M. LOPES, and J. A. TENREIRO MACHADO. "A COMPLEX ORDER MODEL OF ATRIAL ELECTRICAL PROPAGATION FROM FRACTAL POROUS CELL MEMBRANE." Fractals 28, no. 06 (2020): 2050106. http://dx.doi.org/10.1142/s0218348x20501066.

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Cardiac tissue is characterized by structural and cellular heterogeneities that play an important role in the cardiac conduction system. Under persistent atrial fibrillation (persAF), electrical and structural remodeling occur simultaneously. The classical mathematical models of cardiac electrophysiological showed remarkable progress during recent years. Among those models, it is of relevance the standard diffusion mathematical equation, that considers the myocardium as a continuum. However, the modeling of structural properties and their influence on electrical propagation still reveal severa
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47

Hsu, Chang-Fu, Rong-Kwei Li, He-Yau Kang, and Amy H. I. Lee. "A Systematic Evaluation Model for Solar Cell Technologies." Mathematical Problems in Engineering 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/542351.

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Fossil fuels, including coal, petroleum, natural gas, and nuclear energy, are the primary electricity sources currently. However, with depletion of fossil fuels, global warming, nuclear crisis, and increasing environmental consciousness, the demand for renewable energy resources has skyrocketed. Solar energy is one of the most popular renewable energy resources for meeting global energy demands. Even though there are abundant studies on various solar technology developments, there is a lack of studies on solar technology evaluation and selection. Therefore, this research develops a model using
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48

KÜRTEN, KARL E., and FILIPPO CASTIGLIONE. "A DYNAMICAL MODEL OF B–T CELL REGULATION." International Journal of Modern Physics C 12, no. 03 (2001): 367–75. http://dx.doi.org/10.1142/s0129183101001766.

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We present a minimal regulatory model for the dynamics of the humoral immune response of two lymphocytes populations (B and T helper) interacting with a specific antigen pool (bacterium). Stability analysis reveals that the system accounts for the occurrence of multiple steady states in the absence as well as in the presence of the antigen population. The model exhibits (i) a state of immune memory, (ii) one state with high antigen and low helper concentration (disease), and (iii) one state with low antigen and high helper concentration (tolerance). The latter state allows oscillatory behavior
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49

Demakov, Sergey, Iana Kylosova, Stepan Stepanov, and Matthias Bönisch. "A general model for the crystal structure of orthorhombic martensite in Ti alloys." Acta Crystallographica Section B Structural Science, Crystal Engineering and Materials 77, no. 5 (2021): 749–62. http://dx.doi.org/10.1107/s2052520621007976.

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The present work develops a novel unified approach to describe the crystal structure of orthorhombic martensite (α′′) in Ti alloys independent of chemical composition. By employing a straightforward yet highly instructive solid sphere model for the basic tetrahedral structural unit the crystal structures involved in the β ↔ α′′/α′ martensitic transformation are categorized into several intermediate configurations. Importantly, a new metric is introduced, δ, which unambiguously characterizes the atomic positions inside the orthorhombic unit cell depending on unit-cell geometry. Furthermore, the
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50

Várkuti, Boglárka H., Zhenhui Yang, and Andras Malnasi-Csizmadia. "Structural Model of Weak Binding Actomyosin in the Prepowerstroke State." Journal of Biological Chemistry 290, no. 3 (2014): 1679–88. http://dx.doi.org/10.1074/jbc.m114.606665.

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