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1

Ricquier, Daniel, and Arnaud Basdevant. "Maladies du tissu adipeux." Comptes Rendus Biologies 329, no. 8 (August 2006): 559–61. http://dx.doi.org/10.1016/j.crvi.2005.12.011.

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2

SM, Harsini. "Bone Regenerative Medicine and Bone Grafting." Open Access Journal of Veterinary Science & Research 3, no. 4 (2018): 1–7. http://dx.doi.org/10.23880/oajvsr-16000167.

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Bone tissues can repair and regenerate it: in many clinical cases, bone fractures repair without scar formation. Nevertheless, in large bone defects and pathological fractures, bone healing fail to heal. Bone grafting is defined as implantation of material which promot es fracture healing, through osteoconduction osteogenesis, and osteoinduction. Ideal bone grafting depends on several factors such as defect size, ethical issues, biomechanical characteristics, tissue viability, shape and volume, associated complications, cost, graft size, graft handling, and biological characteristics. The materials that are used as bone graft can be divided into separate major categories, such as autografts, allografts, and xenografts. Synthetic substitutes and tissue - engineered biomateri als are other options. Each of these instances has some advantages and disadvantages. Between the all strategies for improving fracture healing and enhance the outcome of unification of the grafts, tissue engineering is a suitable option. A desirable tissu e - engineered bone must have properties similar to those of autografts without their limitations. None of the used bone grafts has all the ideal properties including low donor morbidity, long shelf life, efficient cost, biological safety, no size restrictio n, and osteoconductive, osteoinductive, osteogenic, and angiogenic properties; but Tissue engineering tries to supply most of these features. In addition it is able to induce healing and reconstruction of bone defects. Combining the basis of orthopedic sur gery with knowledge from different sciences like materials science, biology, chemistry, physics, and engineering can overcome the limitations of current therapies. Combining the basis of orthopedic surgery with knowledge from different sciences like materi als science, biology, chemistry, physics, and engineering can overcome the limitations of current therapies.
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3

Solovyov, V. G., Yu M. Lankin, and I. Yu Romanova. "Skin-effect in soft biological tissue and features of tissue heating during automatic bipolar welding." Paton Welding Journal 2021, no. 7 (July 28, 2021): 24–29. http://dx.doi.org/10.37434/tpwj2021.07.05.

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4

Yishen Qiu, Yishen Qiu, Enguo Chen Enguo Chen, Gaoming Li Gaoming Li, and Hui Li Hui Li. "Investigation of transient two-photon excited fluorescence in biological tissue." Chinese Optics Letters 10, no. 5 (2012): 051901–51903. http://dx.doi.org/10.3788/col201210.051901.

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5

Chengmingyue Li, Chengmingyue Li. "Optical phase conjugation (OPC) for focusing light through/inside biological tissue." Infrared and Laser Engineering 48, no. 7 (2019): 702001. http://dx.doi.org/10.3788/irla201948.0702001.

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6

Park, S. G., K. Y. Lee, D. Shin, J. C. Park, and I. S. Lee. "Stiffness of Chondrocyte Under the Various Biological Environments(Cellular & Tissue Engineering)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004): 103–4. http://dx.doi.org/10.1299/jsmeapbio.2004.1.103.

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7

Chang, Walter H., Jimmy K. Li, and James C. A. Lin. "Biological Response of Low Intensity Ultrasound Stimulation on Osteoblasts(Cellular & Tissue Engineering)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004): 89–90. http://dx.doi.org/10.1299/jsmeapbio.2004.1.89.

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8

Meizhen Huang, Meizhen Huang, and Yaxing Tong Yaxing Tong. "Numerical simulation and experiment of optothermal response of biological tissue irradiated by continuous xenon lamp." Chinese Optics Letters 10, no. 1 (2012): 011701–11704. http://dx.doi.org/10.3788/col201210.011701.

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9

Ramírez-Rodríguez, H., A. Benavides-Mendoza, M. Galván-Estrada, and E. A. Rangel-López. "GIBERELINAS BIOLÓGICAMENTE ACTIVAS EN TEJIDO FLORAL DE MANZANO (Malus domestica Borkh.)." Revista Chapingo Serie Horticultura VII, no. 02 (December 2001): 197–201. http://dx.doi.org/10.5154/r.rchsh.2000.10.065.

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10

Gong, Wei, Si Ke, and Colin JR Sheppard. "LIGHT SCATTERING BY RANDOM NON-SPHERICAL PARTICLES WITH ROUGH SURFACE IN BIOLOGICAL TISSUE AND CELLS(3A2 Cellular & Tissue Engineering & Biomaterials II)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2007.3 (2007): S171. http://dx.doi.org/10.1299/jsmeapbio.2007.3.s171.

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11

Angelsky, P. O. "Statistical structure of the biological tissue scattering of laser field with the complex degree of coherence." Semiconductor Physics Quantum Electronics and Optoelectronics 17, no. 4 (November 10, 2014): 412–15. http://dx.doi.org/10.15407/spqeo17.04.412.

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12

FEUILLET, M., and C. M. LENOIR. "Recherche des établissements rejetant des métaux dans le réseau d’assainissement de Romans-sur-Isère." Techniques Sciences Méthodes 4, no. 4 (April 23, 2021): 15–26. http://dx.doi.org/10.36904/tsm/202104015.

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La station d’épuration de Romans-sur-Isère est sujette à des arrivées régulières de substances toxiques. Valence Romans Agglomération, maître d’ouvrage du système d’assainissement, s’inscrit depuis 2015 dans une démarche de recherche des sources de pollution. Ces dernières sont complexes à identifier du fait d’un vaste tissu industriel réparti sur 12 communes. La campagne de RSDE (recherche des substances dangereuses dans l’eau) menée en 2018 a conclu à 12 substances significatives retrouvées en entrée de l’usine de traitement, dont six métaux. Ces métaux pouvant être à l’origine de la toxicité, une démarche de recherche de leurs origines a été entreprise. Veolia, exploitant du système d’assainissement, a proposé une démarche et des outils pour accélérer le travail d’enquête d’identification des rejets en métaux. D’une part, Actipol, outil interne de Veolia, a permis de restreindre la liste des contributeurs potentiels de 10 000 établissements à 2 700 établissements susceptibles de rejeter des métaux. D’autre part, l’utilisation des pieuvres métaux, qui sont des échantillonneurs passifs installés au sein du réseau d’assainissement pendant plusieurs semaines, s’est présentée comme une réponse adaptée et peu coûteuse pour identifier les secteurs qui contribuent à la pollution en métaux. 50 établissements, dont 13 prioritaires, ont pu être identifiés et permettent ainsi de restreindre le nombre d’établissements à enquêter. Actipol et les pieuvres métaux sont ainsi des outils faciles d’utilisation et efficaces pour mener à bien un diagnostic vers l’amont des substances significatives en métaux sur un système d’assainissement.
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13

Ostafiychuk, D. I., T. V. Biryukova, and S. I. Boysaniuk. "Nephelometry of Biological Tissue." Ukraïnsʹkij žurnal medicini, bìologìï ta sportu 3, no. 5 (June 7, 2018): 237–41. http://dx.doi.org/10.26693/jmbs03.05.237.

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14

Christini, David J., Jeff Walden, and Jay M. Edelberg. "Direct biologically based biosensing of dynamic physiological function." American Journal of Physiology-Heart and Circulatory Physiology 280, no. 5 (May 1, 2001): H2006—H2010. http://dx.doi.org/10.1152/ajpheart.2001.280.5.h2006.

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Dynamic regulation of biological systems requires real-time assessment of relevant physiological needs. Biosensors, which transduce biological actions or reactions into signals amenable to processing, are well suited for such monitoring. Typically, in vivo biosensors approximate physiological function via the measurement of surrogate signals. The alternative approach presented here would be to use biologically based biosensors for the direct measurement of physiological activity via functional integration of relevant governing inputs. We show that an implanted excitable-tissue biosensor (excitable cardiac tissue) can be used as a real-time, integrated bioprocessor to analyze the complex inputs regulating a dynamic physiological variable (heart rate). This approach offers the potential for long-term biologically tuned quantification of endogenous physiological function.
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15

Inisheva, Lidiya Ivanovna, Ol'ga Aleksandrovna Rozhanskaya, and Galina Vasil'yevna Larina. "CHARACTERISTICS OF HORNY ALTAI PEATS AND THEIR BIOLOGICAL ACTIVITY IN PLANT TISSUE CULTURE." chemistry of plant raw material, no. 3 (February 23, 2019): 261–68. http://dx.doi.org/10.14258/jcprm.2019035132.

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The search for new raw materials of biologically active substances of natural origin is an urgent task for the modern period. Peat in this respect is a relatively cheap and almost unlimited raw material base. Peat of swamps can be used widely in agriculture for receipt of biologically active substances are of great interest in the territory of the Gorny Altai. The purpose of this work is to study the composition of organic matter of peats of the Gorny Altai, to choose peat raw materials for biologically active production and to study their biological activity. The object of the study was 46 swamps of the Gorny Altai. The following analyses were carried out in peats: botanical composition, degree of decomposition, ash content, group composition of peat organic matter. The composition of humic acids (ha) was analyzed by IR spectroscopy. For determine of the biological activity of humic acids was used plant tissue cultured . The results of the research allowed to distinguish peats by the content of HA: buckbean peat (47.0% of HA), wood peat (50.0% of HA), fern peat (55.0% of HA), grass peat (30.0–45.0% of HA), sedge peat (5.6–58.0% of HA), grass-buckbean peat (43.0–56.5% of HA) and to outline the raw material base for the production of BAS – peatland Turochak. According to the optimal characteristics of HAs, a sample was taken from a depth of 325-375 cm, HA was isolated. The biological activity In humic acid was determined with the use of plant tissue culture. High biological activity are proven of the preparations of HA from the peatland Turochak, which resulted in the acceleration of microclonal propagation of plants in vitro.
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16

Jolley, Craig, Maki Ukai-Tadenuma, Dimitri Perrin, and Hiroki Ueda. "1P283 From cell-autonomous circadian clocks to tissue-level timekeeping(25. Equality Nonequilibrium state & Biological rhythm,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S152. http://dx.doi.org/10.2142/biophys.53.s152_6.

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17

Tuchin, Valery V. "Tissue Optics and Photonics: Biological Tissue Structures." Journal of Biomedical Photonics & Engineering 1, no. 1 (March 28, 2015): 3–21. http://dx.doi.org/10.18287/jbpe-2015-1-1-3.

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18

Kucinska-Lipka, Justyna, Helena Janik, and Iga Gubanska. "Ascorbic Acid in Polyurethane Systems for Tissue Engineering." Chemistry & Chemical Technology 10, no. 4s (December 25, 2016): 607–12. http://dx.doi.org/10.23939/chcht10.04si.607.

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The introduction of the paper was devoted to the main items of tissue engineering (TE) and the way of porous structure obtaining as scaffolds. Furthermore, the significant role of the scaffold design in TE was described. It was shown, that properly designed polyurethanes (PURs) find application in TE due to the proper physicochemical, mechanical and biological properties. Then the use of L-ascorbic acid (L-AA) in PUR systems for TE was described. L-AA has been applied in this area due to its suitable biological characteristics and antioxidative properties. Moreover, L-AA influences tissue regeneration due to improving collagen synthesis, which is a primary component of the extracellular matrix (ECM). Modification of PUR with L-AA leads to the materials with higher biocompatibility and such system is promising for TE applications.
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19

OKADA, Minoru, and Hiromi TAKAHATA. "Positioning Technologies in Biological Tissue." IEICE ESS Fundamentals Review 8, no. 1 (2014): 37–44. http://dx.doi.org/10.1587/essfr.8.37.

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20

Tanishita, Kazuo. "Thermophysical properties on biological tissue." Netsu Bussei 4, no. 1 (1990): 12–17. http://dx.doi.org/10.2963/jjtp.4.12.

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21

Asllanaj, F., S. Contassot-Vivier, A. Hohmann, and A. Kienle. "Light propagation in biological tissue." Journal of Quantitative Spectroscopy and Radiative Transfer 224 (February 2019): 78–90. http://dx.doi.org/10.1016/j.jqsrt.2018.11.001.

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22

Sponheim, N., L. J. Gelius, I. Johansen, and J. J. Stamnes. "Ultrasonic Tomography of Biological Tissue." Ultrasonic Imaging 16, no. 1 (January 1994): 19–32. http://dx.doi.org/10.1177/016173469401600102.

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In this paper, quantitative tomographic reconstructions of biological tissue are presented. First, the experimental setup and a hybrid filtered backpropagation (FBP) technique are briefly described. Using this technique, which includes exact backpropagation of data prior to reconstruction by means of the classical FBP algorithm, quantitative velocity maps of relatively large biological objects can be obtained. Since the FBP algorithm is based on a first-order scattering approximation, the deteriorating effects of higher-order scattering in diffraction tomography are also discussed. The higher-order scattering limits the size of the biological object to a few centimeters.
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23

Kim, Arnold D., and Joseph B. Keller. "Light propagation in biological tissue." Journal of the Optical Society of America A 20, no. 1 (January 1, 2003): 92. http://dx.doi.org/10.1364/josaa.20.000092.

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24

Vasil'ev, V. S., N. E. Manturova, S. A. Vasil'ev, and Zh I. Teryushkova. "Biological features of adipose tissue." Plasticheskaya khirurgiya i esteticheskaya meditsina, no. 2 (2019): 33. http://dx.doi.org/10.17116/plast.hirurgia201902133.

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25

Wang Cheng, 王成, 董肖娜 Dong Xiaona, 蔡干 Cai Gan, 项华中 Xiang Huazhong, 郑刚 Zheng Gang, and 张大伟 Zhang Dawei. "Photoacoustic Elastography for Biological Tissue." Chinese Journal of Lasers 45, no. 3 (2018): 0307010. http://dx.doi.org/10.3788/cjl201845.0307010.

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26

Sponheim, N. "Ultrasonic Tomography of Biological Tissue." Ultrasonic Imaging 16, no. 1 (January 1994): 19–32. http://dx.doi.org/10.1006/uimg.1994.1002.

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27

TADA, Yukio. "Freezing Model of Biological Tissue." Proceedings of the Thermal Engineering Conference 2003 (2003): 321–24. http://dx.doi.org/10.1299/jsmeted.2003.321.

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28

Jayakumar, R. "Biological macromolecules for tissue regeneration." International Journal of Biological Macromolecules 93 (December 2016): 1337. http://dx.doi.org/10.1016/j.ijbiomac.2016.11.001.

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29

Kim, Chunghwan, Won June Choi, Yisha Ng, and Wonmo Kang. "Mechanically Induced Cavitation in Biological Systems." Life 11, no. 6 (June 10, 2021): 546. http://dx.doi.org/10.3390/life11060546.

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Cavitation bubbles form in soft biological systems when subjected to a negative pressure above a critical threshold, and dynamically change their size and shape in a violent manner. The critical threshold and dynamic response of these bubbles are known to be sensitive to the mechanical characteristics of highly compliant biological systems. Several recent studies have demonstrated different biological implications of cavitation events in biological systems, from therapeutic drug delivery and microsurgery to blunt injury mechanisms. Due to the rapidly increasing relevance of cavitation in biological and biomedical communities, it is necessary to review the current state-of-the-art theoretical framework, experimental techniques, and research trends with an emphasis on cavitation behavior in biologically relevant systems (e.g., tissue simulant and organs). In this review, we first introduce several theoretical models that predict bubble response in different types of biological systems and discuss the use of each model with physical interpretations. Then, we review the experimental techniques that allow the characterization of cavitation in biologically relevant systems with in-depth discussions of their unique advantages and disadvantages. Finally, we highlight key biological studies and findings, through the direct use of live cells or organs, for each experimental approach.
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30

KRUTIKOVA, N. Yu, and A. S. EFREMENKOVA. "Modern concepts of the adipose tissue effect on bone metabolism regulation." Practical medicine 18, no. 6 (2020): 69–72. http://dx.doi.org/10.32000/2072-1757-2020-6-69-72.

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At present, it has been proved that adipose tissue, in addition to storing energy, is a complex hormonally active organ. Biological active substances secreted by adipose tissue, entering the general circulation, have a variety of metabolic effects, interact with various organs and systems, in particular with bone tissue, and participate in maintaining the constancy of the body internal environment. A number of hormones secreted by adipose tissue are well studied, such as leptin, adiponectin, interleukin-6, etc., others require further research in order to study their effects on various organs and systems. The published data suggest the multidirectional effect of biologically active substances on bone metabolism. The biological activity of hormones can be increased or decreased when interacting with receptors and/or binding proteins. Lack or excess of adipose tissue leads to various metabolic disorders and a shift in the dynamic balance of the constancy of the internal environment of the body.
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31

Ricken, Tim, Alexander Schwarz, and Joachim Bluhm. "A triphasic model of transversely isotropic biological tissue with applications to stress and biologically induced growth." Computational Materials Science 39, no. 1 (March 2007): 124–36. http://dx.doi.org/10.1016/j.commatsci.2006.03.025.

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32

Bigi, Adriana, and Elisa Boanini. "Functionalized Biomimetic Calcium Phosphates for Bone Tissue Repair." Journal of Applied Biomaterials & Functional Materials 15, no. 4 (January 2017): e313-e325. http://dx.doi.org/10.5301/jabfm.5000367.

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The design and development of novel materials for biomineralized tissues is an extremely attractive field of research where calcium phosphates (CaPs)–based materials for biomedical applications play a leading role. The biological performance of these compounds can be enhanced through functionalization with biologically active ions and molecules. This review reports on some important recent achievements in creating functionalized biomimetic CaP materials for applications in the musculoskeletal field. Particular attention is focused on the modifications of these inorganic compounds with bioactive ions, growth factors and drugs, as well as on recent trends in some important CaP applications as biomaterials – namely, as bone cements, coatings of metallic implants and scaffolds for regenerative medicine.
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33

Bankov, V. I. "VISUALIZATION OF BIOLOGICAL TISSUE IMPEDANCE PARAMETERS." Bulletin of Siberian Medicine 15, no. 3 (June 30, 2016): 10–15. http://dx.doi.org/10.20538/1682-0363-2016-3-10-15.

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34

Will, Fabian, and Heiko Richter. "Laser-based Preparation of Biological Tissue." Laser Technik Journal 12, no. 5 (November 2015): 44–47. http://dx.doi.org/10.1002/latj.201500036.

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35

Ehrenreich, M., and Z. Ruszczak. "Update on Tissue-Engineered Biological Dressings." Tissue Engineering 12, no. 9 (September 2006): 2407–24. http://dx.doi.org/10.1089/ten.2006.12.2407.

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36

Østerud, Bjarne. "Tissue Factor: a Complex Biological Role." Thrombosis and Haemostasis 78, no. 01 (1997): 755–58. http://dx.doi.org/10.1055/s-0038-1657624.

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37

Li, Xinzhi, Amit Das, and Dapeng Bi. "Biological tissue-inspired tunable photonic fluid." Proceedings of the National Academy of Sciences 115, no. 26 (June 11, 2018): 6650–55. http://dx.doi.org/10.1073/pnas.1715810115.

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Inspired by how cells pack in dense biological tissues, we design 2D and 3D amorphous materials that possess a complete photonic bandgap. A physical parameter based on how cells adhere with one another and regulate their shapes can continuously tune the photonic bandgap size as well as the bulk mechanical properties of the material. The material can be tuned to go through a solid–fluid phase transition characterized by a vanishing shear modulus. Remarkably, the photonic bandgap persists in the fluid phase, giving rise to a photonic fluid that is robust to flow and rearrangements. Experimentally this design should lead to the engineering of self-assembled nonrigid photonic structures with photonic bandgaps that can be controlled in real time via mechanical and thermal tuning.
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38

Maeva, Elena, Fedar Severin, Chiaki Miyasaka, Bernhard R. Tittmann, and Roman Gr Maev. "Acoustic imaging of thick biological tissue." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 56, no. 7 (July 2009): 1352–58. http://dx.doi.org/10.1109/tuffc.2009.1191.

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39

Mokim, M., C. Carruba, and F. Ganikhanov. "Tracing molecular dephasing in biological tissue." Applied Physics Letters 111, no. 18 (October 30, 2017): 183701. http://dx.doi.org/10.1063/1.5001813.

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40

Marinova, Iliana, and Valentin Mateev. "Electromagnetic field in biological tissue objects." Facta universitatis - series: Electronics and Energetics 22, no. 2 (2009): 197–207. http://dx.doi.org/10.2298/fuee0902197m.

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In this paper a method for automatic 3D model building is presented. These models are suitable for investigations of electromagnetic field distribution with Finite Element Method (FEM). Models are made by meshed structures and specific electromagnetic material properties for each tissue type. Mesh is built according to specific FEM criteria for achieving good solution accuracy. Bioimpedance measurement system is developed and electromagnetic properties, acquired by the system, are used in 3D FEM model. Achieved models are applied for electromagnetic field distribution investigation. .
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41

Gong, Wei, Ke Si, and Colin J. R. Sheppard. "Modeling phase functions in biological tissue." Optics Letters 33, no. 14 (July 14, 2008): 1599. http://dx.doi.org/10.1364/ol.33.001599.

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42

Fischle, Andreas, Axel Klawonn, Oliver Rheinbach, and Jörg Schröder. "Parallel Simulation of Biological Soft Tissue." PAMM 12, no. 1 (December 2012): 767–68. http://dx.doi.org/10.1002/pamm.201210372.

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43

Hoshi, Kazuto, Yuko Fujihara, Takanori Yamawaki, Motohiro Harai, Yukiyo Asawa, and Atsuhiko Hikita. "Biological aspects of tissue-engineered cartilage." Histochemistry and Cell Biology 149, no. 4 (March 6, 2018): 375–81. http://dx.doi.org/10.1007/s00418-018-1652-2.

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44

Freund, Isaac, and Moshe Deutsch. "Second-harmonic microscopy of biological tissue." Optics Letters 11, no. 2 (February 1, 1986): 94. http://dx.doi.org/10.1364/ol.11.000094.

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45

Buzdov, B. K. "Mathematical modeling of biological tissue cryodestruction." Applied Mathematical Sciences 8 (2014): 2823–31. http://dx.doi.org/10.12988/ams.2014.43148.

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46

Ku, Geng, and Lihong V. Wang. "Scanning thermoacoustic tomography in biological tissue." Medical Physics 27, no. 5 (May 2000): 1195–202. http://dx.doi.org/10.1118/1.598984.

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47

Vasiliev, V. N., and S. K. Serkov. "Biological tissue destruction under laser irradiation." Journal of Engineering Physics and Thermophysics 64, no. 5 (May 1993): 487–91. http://dx.doi.org/10.1007/bf00862641.

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48

Wong, Kenneth K. Y., and Xuelai Liu. "Nanotechnology meets regenerative medicine: a new frontier?" Nanotechnology Reviews 2, no. 1 (February 1, 2013): 59–71. http://dx.doi.org/10.1515/ntrev-2012-0008.

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AbstractRegenerative medicine is the creation of a tissue or organ with normal structures and functions to replace the lost or impaired ones via biological modulation and tissue engineering. Indeed, many researchers have focused on exploring new techniques or approaches in this field. In recent years, numerous nanotechnologies have been incorporated into the field of regenerative medicine, aiming to replace tissues. The application of nanotechnology is important as many nanomaterials exhibit novel biological properties in the modulation of cellular events. The two main directions in this field are to provide biologically compatible scaffolds as an optimal environment for cell migration and proliferation; as well as to attempt to induce stem cell recruitment and differentiation. Thus, this review will focus on these two aspects, briefly describing the clinical applications.
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49

Fatehi, Leili, Susan M. Wolf, Jeffrey McCullough, Ralph Hall, Frances Lawrenz, Jeffrey P. Kahn, Cortney Jones, et al. "Recommendations for Nanomedicine Human Subjects Research Oversight: An Evolutionary Approach for an Emerging Field." Journal of Law, Medicine & Ethics 40, no. 4 (2012): 716–50. http://dx.doi.org/10.1111/j.1748-720x.2012.00703.x.

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Nanomedicine is yielding new and improved treatments and diagnostics for a range of diseases and disorders. Nanomedicine applications incorporate materials and components with nanoscale dimensions (often defined as 1-100 nm, but sometimes defined to include dimensions up to 1000 nm, as discussed further below) where novel physiochemical properties emerge as a result of size-dependent phenomena and high surface-to-mass ratio. Nanotherapeutics and in vivo nanodiagnostics are a subset of nanomedicine products that enter the human body. These include drugs, biological products (biologics), implantable medical devices, and combination products that are designed to function in the body in ways unachievable at larger scales. Nanotherapeutics and in vivo nanodiagnostics incorporate materials that are engineered at the nanoscale to express novel properties that are medicinally useful. These nanomedicine applications can also contain nanomaterials that are biologically active, producing interactions that depend on biological triggers. Examples include nanoscale formulations of insoluble drugs to improve bioavailability and pharmacokinetics, drugs encapsulated in hollow nanoparticles with the ability to target and cross cellular and tissue membranes (including the bloodbrain barrier) and to release their payload at a specific time or location, imaging agents that demonstrate novel optical properties to aid in locating micrometastases, and antimicrobial and drug-eluting components or coatings of implantable medical devices such as stents.
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Beiocchi, Mauro, Riccardo Dolcetti, and Antonino Carbone. "Pathogenesis of Human Reactive-Appearing «Non-Monomorphous» Malignant Lymphoproliferative Disorders: A Hypothesis." Tumori Journal 78, no. 4 (August 1992): 221–27. http://dx.doi.org/10.1177/030089169207800401.

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Human reactive-appearing « non-monomorphous » malignant disorders, such as Hodgkin's disease, T-cell-rich B-cell lymphomas and angioimmunoblastic lymphadenopathy display a peculiar and unifying characteristic, which biologically differentiates them from « monomorphous » non-Hodgkin's lymphomas. It consists in the coexistence within the pathologic tissue of a polyclonal, normal-appearing, presumed reactive cellular component, mainly composed of T-lymphocytes together with a clonal cell component constituting a minority of the pathologic mass. To explain the long-lasting coexistence of such polymorphic cell populations in the pathologic tissue of synchronous and metachronous localizations of the disease, it is hypothesized that they are interconnected by « biological interactions » which determine and sustain the pathologic process. Based on the biological characteristics of an experimental model (the follicular center cell « lymphoma » of the SJL murine strain), it is suggested that these human « non-monomorphous » malignant diseases should be regarded as a continuous spectrum of lymphoproliferative disorders sustained by a biological loop which interconnects different cell populations able to stimulate each other for growth.
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