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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">scbmt</journal-id><journal-title-group><journal-title xml:lang="ru">БИОМЕДИЦИНА</journal-title><trans-title-group xml:lang="en"><trans-title>Journal Biomed</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2074-5982</issn><issn pub-type="epub">2713-0428</issn><publisher><publisher-name>Scientific center of biomedical technologies of Federal Medical and Biological Agency</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">scbmt-244</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МЕТОДЫ БИОМЕДИЦИНСКИХ ИССЛЕДОВАНИЙ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>METHODS OF BIOMEDICAL RESEARCHES</subject></subj-group></article-categories><title-group><article-title>Enhanced technologies and integration parameters of pre-clinical studies</article-title><trans-title-group xml:lang="en"><trans-title>Усовершенствование технологий и интеграционные параметры доклинических исследований</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Bachdasarian</surname><given-names>L. .</given-names></name><name name-style="western" xml:lang="en"><surname>Багдасарян</surname><given-names>Л. .</given-names></name></name-alternatives><email xlink:type="simple">levon@metris.nl</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Bulthuis</surname><given-names>R. .</given-names></name><name name-style="western" xml:lang="en"><surname>Бултуис</surname><given-names>Р. .</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Molewijk</surname><given-names>E. .</given-names></name><name name-style="western" xml:lang="en"><surname>Молевик</surname><given-names>Э. .</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Guchkov</surname><given-names>S. .</given-names></name><name name-style="western" xml:lang="en"><surname>Гучков</surname><given-names>С. .</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Revyakin</surname><given-names>A. .</given-names></name><name name-style="western" xml:lang="en"><surname>Ревяки</surname><given-names>А. .</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Metris B.V., The Netherlands</institution><country>Russian Federation</country></aff><aff xml:lang="ru" id="aff-2"><institution>University of Orel, Orel</institution><country>Russian Federation</country></aff><aff xml:lang="ru" id="aff-3"><institution>Federal State Budgetary Institution Scientific center of biomedical technologies of FederalMedical and Biological Agency, Moscow region</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2013</year></pub-date><pub-date pub-type="epub"><day>20</day><month>01</month><year>2020</year></pub-date><volume>1</volume><issue>1</issue><fpage>83</fpage><lpage>97</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Bachdasarian L..., Bulthuis R..., Molewijk E..., Guchkov S..., Revyakin A..., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Bachdasarian L..., Bulthuis R..., Molewijk E..., Guchkov S..., Revyakin A...</copyright-holder><copyright-holder xml:lang="en">Багдасарян Л..., Бултуис Р..., Молевик Э..., Гучков С..., Ревяки А...</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://journal.scbmt.ru/jour/article/view/244">https://journal.scbmt.ru/jour/article/view/244</self-uri><abstract><p>When the drug penetrates into the organism, a biochemical reaction takes place and one can say the latter produces energetic changes in the organisms of the laboratory animals. The drug penetrating into the organism changes the potential energy of the body; the latter after some time brings to changes in kinetic energy which is expressed in people and in animals as changes in behaviour. This means that energy is the most important parameter in all stages beginning from molecular biology to preclinical research. Laboras system by Metris B.V. enables measurement of all types of kinetic energy while other non-invasive automated systems for behavior detection can only measure the locomotion component of the kinetic energy (e.g. locomotion energy mv./2). In addition the matrix method and technology used in Laboras provides a way to measure more behaviors and to recognize them completely automatic and more precisely than ever before. For the properly the build your study is better integrate behavioral analysis with telemetry analysis. In this case you make the matrix of statistical parameters bigger and stabile for 24 hour animal study. Laboras system can integrate with DSI telemetry system and in the same result summary analyze Physiological and behavioral parameters. For ultrasounds vocalization study use Sonotrack system and integrate with Laboras results.</p></abstract><trans-abstract xml:lang="en"><p>Лекарства, проникая в организм, изменяют его потенциальную энергию, а через некоторое время и кинетическую, что выражается в поведенческих реакциях животных и человека. Это означает, что энергия является наиболее важным параметром на всех стадяих создания лекарств – от молекулярной биологии до клинических исследований. Система Laboras, созданная компанией Metris B.V., измеряет общую кинетическую энергию, в отличие от других автоматизированных систем, распознающих поведение только по энергии передвижения животных. В результате использования системы Laboras исследователь получает такие формы поведения животных как встряхивание головы, подергивание головой, «отряхивание мокрой собаки» и почесывание, не распознаваемые другими системами. Система Laboras может интегрироваться с DSIтелеметрической системой и, таким образом, анализировать физиологические и поведенческие параметры одновременно. Система также интегрируется с системой Sonotrack для изучения ультразвуковой вокализации.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>preclinical research</kwd><kwd>Laboras system</kwd><kwd>behavioral parameters</kwd><kwd>energy</kwd><kwd>доклинические исследования</kwd><kwd>система Laboras</kwd><kwd>параметры поведения</kwd><kwd>энергия</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">http://farside.ph.utexas.edu/teaching/301/lectures/node60.html</mixed-citation><mixed-citation xml:lang="en">http://farside.ph.utexas.edu/teaching/301/lectures/node60.html</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">http://en.wikipedia.org/wiki/ Metabolism</mixed-citation><mixed-citation xml:lang="en">http://en.wikipedia.org/wiki/ Metabolism</mixed-citation></citation-alternatives></ref><ref 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