Mathematical Modeling of Biological Systems : : Geometry, Symmetry and Conservation Laws / / Federico Papa, Carmela Sinisgalli.

Mathematical modeling is a powerful approach supporting the investigation of open problems in natural sciences, in particular physics, biology and medicine. Applied mathematics allows to translate the available information about real-world phenomena into mathematical objects and concepts. Mathematic...

Full description

Saved in:
Bibliographic Details
VerfasserIn:
TeilnehmendeR:
Place / Publishing House:Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2022.
©2022
Year of Publication:2022
Language:English
Physical Description:1 online resource (218 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993562251604498
ctrlnum (CKB)4920000001372844
(NjHacI)994920000001372844
(EXLCZ)994920000001372844
collection bib_alma
record_format marc
spelling Papa, Federico, author.
Mathematical Modeling of Biological Systems : Geometry, Symmetry and Conservation Laws / Federico Papa, Carmela Sinisgalli.
Mathematical Modeling of Biological Systems
Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2022.
©2022
1 online resource (218 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on: online resource; title from PDF information screen (mdpi.com, viewed February 17, 2023).
Mathematical modeling is a powerful approach supporting the investigation of open problems in natural sciences, in particular physics, biology and medicine. Applied mathematics allows to translate the available information about real-world phenomena into mathematical objects and concepts. Mathematical models are useful descriptive tools that allow to gather the salient aspects of complex biological systems along with their fundamental governing laws, by elucidating the system behavior in time and space, also evidencing symmetry, or symmetry breaking, in geometry and morphology. Additionally, mathematical models are useful predictive tools able to reliably forecast the future system evolution or its response to specific inputs. More importantly, concerning biomedical systems, such models can even become prescriptive tools, allowing effective, sometimes optimal, intervention strategies for the treatment and control of pathological states to be planned. The application of mathematical physics, nonlinear analysis, systems and control theory to the study of biological and medical systems results in the formulation of new challenging problems for the scientific community. This Special Issue includes innovative contributions of experienced researchers in the field of mathematical modelling applied to biology and medicine.
Includes bibliographical references and index.
Engineering models.
3-0365-2765-6
Sinisgalli, Carmela, author.
language English
format eBook
author Papa, Federico,
Sinisgalli, Carmela,
spellingShingle Papa, Federico,
Sinisgalli, Carmela,
Mathematical Modeling of Biological Systems : Geometry, Symmetry and Conservation Laws /
author_facet Papa, Federico,
Sinisgalli, Carmela,
Sinisgalli, Carmela,
author_variant f p fp
c s cs
author_role VerfasserIn
VerfasserIn
author2 Sinisgalli, Carmela,
author2_role TeilnehmendeR
author_sort Papa, Federico,
title Mathematical Modeling of Biological Systems : Geometry, Symmetry and Conservation Laws /
title_sub Geometry, Symmetry and Conservation Laws /
title_full Mathematical Modeling of Biological Systems : Geometry, Symmetry and Conservation Laws / Federico Papa, Carmela Sinisgalli.
title_fullStr Mathematical Modeling of Biological Systems : Geometry, Symmetry and Conservation Laws / Federico Papa, Carmela Sinisgalli.
title_full_unstemmed Mathematical Modeling of Biological Systems : Geometry, Symmetry and Conservation Laws / Federico Papa, Carmela Sinisgalli.
title_auth Mathematical Modeling of Biological Systems : Geometry, Symmetry and Conservation Laws /
title_alt Mathematical Modeling of Biological Systems
title_new Mathematical Modeling of Biological Systems :
title_sort mathematical modeling of biological systems : geometry, symmetry and conservation laws /
publisher MDPI - Multidisciplinary Digital Publishing Institute,
publishDate 2022
physical 1 online resource (218 pages)
isbn 3-0365-2765-6
callnumber-first T - Technology
callnumber-subject TA - General and Civil Engineering
callnumber-label TA177
callnumber-sort TA 3177 P373 42022
illustrated Not Illustrated
dewey-hundreds 600 - Technology
dewey-tens 620 - Engineering
dewey-ones 620 - Engineering & allied operations
dewey-full 620.0011
dewey-sort 3620.0011
dewey-raw 620.0011
dewey-search 620.0011
work_keys_str_mv AT papafederico mathematicalmodelingofbiologicalsystemsgeometrysymmetryandconservationlaws
AT sinisgallicarmela mathematicalmodelingofbiologicalsystemsgeometrysymmetryandconservationlaws
AT papafederico mathematicalmodelingofbiologicalsystems
AT sinisgallicarmela mathematicalmodelingofbiologicalsystems
status_str n
ids_txt_mv (CKB)4920000001372844
(NjHacI)994920000001372844
(EXLCZ)994920000001372844
carrierType_str_mv cr
is_hierarchy_title Mathematical Modeling of Biological Systems : Geometry, Symmetry and Conservation Laws /
author2_original_writing_str_mv noLinkedField
_version_ 1764990041553108992
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02536nam a2200337 i 4500</leader><controlfield tag="001">993562251604498</controlfield><controlfield tag="005">20230218183005.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">230218s2022 sz ob 001 0 eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4920000001372844</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)994920000001372844</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994920000001372844</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">TA177</subfield><subfield code="b">.P373 2022</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620.0011</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Papa, Federico,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Mathematical Modeling of Biological Systems :</subfield><subfield code="b">Geometry, Symmetry and Conservation Laws /</subfield><subfield code="c">Federico Papa, Carmela Sinisgalli.</subfield></datafield><datafield tag="246" ind1=" " ind2=" "><subfield code="a">Mathematical Modeling of Biological Systems </subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Basel :</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute,</subfield><subfield code="c">2022.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (218 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on: online resource; title from PDF information screen (mdpi.com, viewed February 17, 2023).</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Mathematical modeling is a powerful approach supporting the investigation of open problems in natural sciences, in particular physics, biology and medicine. Applied mathematics allows to translate the available information about real-world phenomena into mathematical objects and concepts. Mathematical models are useful descriptive tools that allow to gather the salient aspects of complex biological systems along with their fundamental governing laws, by elucidating the system behavior in time and space, also evidencing symmetry, or symmetry breaking, in geometry and morphology. Additionally, mathematical models are useful predictive tools able to reliably forecast the future system evolution or its response to specific inputs. More importantly, concerning biomedical systems, such models can even become prescriptive tools, allowing effective, sometimes optimal, intervention strategies for the treatment and control of pathological states to be planned. The application of mathematical physics, nonlinear analysis, systems and control theory to the study of biological and medical systems results in the formulation of new challenging problems for the scientific community. This Special Issue includes innovative contributions of experienced researchers in the field of mathematical modelling applied to biology and medicine.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Engineering models.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-2765-6</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sinisgalli, Carmela,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-03-01 00:30:44 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-09-22 08:09:39 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5338072230004498&amp;Force_direct=true</subfield><subfield code="Z">5338072230004498</subfield><subfield code="8">5338072230004498</subfield></datafield></record></collection>