Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Computational physiology = Simula Su...
~
McCabe, Kimberly J.
Linked to FindBook
Google Book
Amazon
博客來
Computational physiology = Simula Summer School 2021 - student reports /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Computational physiology/ edited by Kimberly J. McCabe.
Reminder of title:
Simula Summer School 2021 - student reports /
other author:
McCabe, Kimberly J.
Published:
Cham :Springer International Publishing : : 2022.,
Description:
xi, 109 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models 3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG -- Ordinary Differential Equation-based Modeling of Cells in Human Cartilage -- Conduction Velocity in Cardiac Tissue as Function of Ion Channel Conductance and Distribution -- Computational Prediction of Cardiac Electropharmacology - How Much Does the Model Matter? -- A Computational Study of Flow Instabilities in Aneurysms -- Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure -- Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers.
Contained By:
Springer Nature eBook
Subject:
Physiology - Congresses. - Data processing -
Online resource:
https://doi.org/10.1007/978-3-031-05164-7
ISBN:
9783031051647
Computational physiology = Simula Summer School 2021 - student reports /
Computational physiology
Simula Summer School 2021 - student reports /[electronic resource] :edited by Kimberly J. McCabe. - Cham :Springer International Publishing :2022. - xi, 109 p. :ill. (some col.), digital ;24 cm. - Reports on computational physiology,v. 122730-7743 ;. - Reports on computational physiology ;v. 12..
A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models 3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG -- Ordinary Differential Equation-based Modeling of Cells in Human Cartilage -- Conduction Velocity in Cardiac Tissue as Function of Ion Channel Conductance and Distribution -- Computational Prediction of Cardiac Electropharmacology - How Much Does the Model Matter? -- A Computational Study of Flow Instabilities in Aneurysms -- Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure -- Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers.
Open access.
This open access volume compiles student reports from the 2021 Simula Summer School in Computational Physiology. Interested readers will find herein a number of modern approaches to modeling excitable tissue. This should provide a framework for tools available to model subcellular and tissue-level physiology across scales and scientific questions. In June through August of 2021, Simula held the seventh annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD) The course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. The majority of the school consists of group research projects conducted by Masters and PhD students from around the world, and advised by scientists at Simula, UiO and UCSD. Each group then produced a report that addreses a specific problem of importance in physiology and presents a succinct summary of the findings. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier computational studies or experimental findings. Reports from eight of the summer projects are included as separate chapters. The fields represented include cardiac geometry definition (Chapter 1), electrophysiology and pharmacology (Chapters 2-5), fluid mechanics in blood vessels (Chapter 6), cardiac calcium handling and mechanics (Chapter 7), and machine learning in cardiac electrophysiology (Chapter 8)
ISBN: 9783031051647
Standard No.: 10.1007/978-3-031-05164-7doiSubjects--Topical Terms:
3599459
Physiology
--Data processing--Congresses.
LC Class. No.: QP33.6.D38 / C65 2022
Dewey Class. No.: 571.0285
Computational physiology = Simula Summer School 2021 - student reports /
LDR
:03404nmm a2200349 a 4500
001
2300699
003
DE-He213
005
20220508194843.0
006
m d
007
cr nn 008maaau
008
230324s2022 sz s 0 eng d
020
$a
9783031051647
$q
(electronic bk.)
020
$a
9783031051630
$q
(paper)
024
7
$a
10.1007/978-3-031-05164-7
$2
doi
035
$a
978-3-031-05164-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QP33.6.D38
$b
C65 2022
072
7
$a
PBKS
$2
bicssc
072
7
$a
COM014000
$2
bisacsh
072
7
$a
PBKS
$2
thema
082
0 4
$a
571.0285
$2
23
090
$a
QP33.6.D38
$b
C738 2022
245
0 0
$a
Computational physiology
$h
[electronic resource] :
$b
Simula Summer School 2021 - student reports /
$c
edited by Kimberly J. McCabe.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
xi, 109 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Reports on computational physiology,
$x
2730-7743 ;
$v
v. 12
505
0
$a
A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models 3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG -- Ordinary Differential Equation-based Modeling of Cells in Human Cartilage -- Conduction Velocity in Cardiac Tissue as Function of Ion Channel Conductance and Distribution -- Computational Prediction of Cardiac Electropharmacology - How Much Does the Model Matter? -- A Computational Study of Flow Instabilities in Aneurysms -- Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure -- Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers.
506
$a
Open access.
520
$a
This open access volume compiles student reports from the 2021 Simula Summer School in Computational Physiology. Interested readers will find herein a number of modern approaches to modeling excitable tissue. This should provide a framework for tools available to model subcellular and tissue-level physiology across scales and scientific questions. In June through August of 2021, Simula held the seventh annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD) The course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. The majority of the school consists of group research projects conducted by Masters and PhD students from around the world, and advised by scientists at Simula, UiO and UCSD. Each group then produced a report that addreses a specific problem of importance in physiology and presents a succinct summary of the findings. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier computational studies or experimental findings. Reports from eight of the summer projects are included as separate chapters. The fields represented include cardiac geometry definition (Chapter 1), electrophysiology and pharmacology (Chapters 2-5), fluid mechanics in blood vessels (Chapter 6), cardiac calcium handling and mechanics (Chapter 7), and machine learning in cardiac electrophysiology (Chapter 8)
650
0
$a
Physiology
$x
Data processing
$v
Congresses.
$3
3599459
650
0
$a
Physiology
$x
Computer simulation
$v
Congresses.
$3
3599460
650
1 4
$a
Computational Science and Engineering.
$3
893018
650
2 4
$a
Mathematical and Computational Biology.
$3
1566274
650
2 4
$a
Biomedical Engineering and Bioengineering.
$3
3381533
650
2 4
$a
Computational Mathematics and Numerical Analysis.
$3
891040
700
1
$a
McCabe, Kimberly J.
$3
3599457
710
2
$a
SpringerLink (Online service)
$3
836513
711
2
$a
Simula Summer School in Computational Physiology
$n
(7th :
$d
2021)
$3
3599461
773
0
$t
Springer Nature eBook
830
0
$a
Reports on computational physiology ;
$v
v. 12.
$3
3599458
856
4 0
$u
https://doi.org/10.1007/978-3-031-05164-7
950
$a
Mathematics and Statistics (SpringerNature-11649)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9442591
電子資源
11.線上閱覽_V
電子書
EB QP33.6.D38 C65 2022
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login