Výsledky vyhledávání - computing algorithms and ((informatics OR (bioinformatika OR bioinformation)) OR informatika)

Replacing non-biomedical concepts improves embedding of biomedical concepts

Autoři: Niyonkuru, Enock Gomez, Mauricio Soto Casarighi, Elena a další

Zdroj: PLOS ONE. 20(5)

Témata: Information and Computing Sciences, Biological Sciences, Bioinformatics and Computational Biology, Algorithms, Machine Learning, Semantics, Medical Informatics Computing, General Science & Technology

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/43k9s6k4
https://escholarship.org/content/qt43k9s6k4/qt43k9s6k4.pdf

Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling

Autoři: Murray, Sara G Avati, Anand Schmajuk, Gabriela a další

Zdroj: Journal of the American Medical Informatics Association. 26(1)

Témata: 46 Information and Computing Sciences (for-2020), 4611 Machine Learning (for-2020), Patient Safety (rcdc), Lupus (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Machine Learning and Artificial Intelligence (rcdc), Autoimmune Disease (rcdc), Inflammatory and immune system (hrcs-hc), 3 Good Health and Well Being (sdg), Algorithms (mesh), Electronic Health Records (mesh), Humans (mesh), Lupus Erythematosus, Systemic (mesh), Machine Learning (mesh), ROC Curve (mesh), electronic health records, machine learning, lupus erythematosus, EHR phenotyping, EHR algorithms, Humans (mesh), Lupus Erythematosus, Systemic (mesh), ROC Curve (mesh), Algorithms (mesh), Electronic Health Records (mesh), Machine Learning (mesh), Algorithms (mesh), Electronic Health Records (mesh), Humans (mesh), Lupus Erythematosus, Systemic (mesh), Machine Learning (mesh), ROC Curve (mesh), 08 Information and Computing Sciences (for), 09 Engineering (for), 11 Medical and Health Sciences (for), Medical Informatics (science-metrix), 32 Biomedical and clinical sciences (for-2020), 42 Health sciences (for-2020), 46 Information and computing sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/22f2m6v4
https://escholarship.org/content/qt22f2m6v4/qt22f2m6v4.pdf

BioSimulator.jl: Stochastic simulation in Julia

Autoři: Landeros, Alfonso Stutz, Timothy Keys, Kevin L a další

Zdroj: Computer Methods and Programs in Biomedicine. 167

Témata: 46 Information and Computing Sciences (for-2020), 4601 Applied Computing (for-2020), Bioengineering (rcdc), Algorithms (mesh), Computer Simulation (mesh), Kinetics (mesh), Markov Chains (mesh), Models, Biological (mesh), Poisson Distribution (mesh), Probability (mesh), Programming Languages (mesh), Software (mesh), Stochastic Processes (mesh), Systems Biology (mesh), Stochastic simulation, Gillespie algorithm, tau-leaping, Systems biology, Julia language, Probability (mesh), Markov Chains (mesh), Poisson Distribution (mesh), Stochastic Processes (mesh), Systems Biology (mesh), Kinetics (mesh), Algorithms (mesh), Models, Biological (mesh), Computer Simulation (mesh), Software (mesh), Programming Languages (mesh), Gillespie algorithm, Julia language, Stochastic simulation, Systems biology, τ-leaping, Algorithms (mesh), Computer Simulation (mesh), Kinetics (mesh), Markov Chains (mesh), Models, Biological (mesh), Poisson Distribution (mesh), Probability (mesh), Programming Languages (mesh), Software (mesh), Stochastic Processes (mesh), Systems Biology (mesh), q-bio.QM, q-bio.QM, math.DS, 0801 Artificial Intelligence and Image Processing (for), 0903 Biomedical Engineering (for), 0906 Electrical and Electronic Engineering (for), Medical Informatics (science-metrix), 4003 Biomedical engineering (for-2020), 4601 Applied computing (for-2020), 4603 Computer vision and multimedia computation (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/62r288hd
https://escholarship.org/content/qt62r288hd/qt62r288hd.pdf

Using insurance claims to predict and improve hospitalizations and biologics use in members with inflammatory bowel diseases

Autoři: Vaughn, Don A van Deen, Welmoed K Kerr, Wesley T a další

Zdroj: Journal of Biomedical Informatics. 81

Témata: 4203 Health Services and Systems (for-2020), 42 Health Sciences (for-2020), Crohn's Disease (rcdc), Inflammatory Bowel Disease (rcdc), Digestive Diseases (rcdc), Precision Medicine (rcdc), Autoimmune Disease (rcdc), Oral and gastrointestinal (hrcs-hc), 3 Good Health and Well Being (sdg), Adult (mesh), Algorithms (mesh), Area Under Curve (mesh), Biological Products (mesh), Colitis, Ulcerative (mesh), Crohn Disease (mesh), Data Collection (mesh), Databases, Factual (mesh), Decision Making (mesh), Health Care Costs (mesh), Hospitalization (mesh), Humans (mesh), Insurance Claim Review (mesh), Insurance, Health (mesh), International Classification of Diseases (mesh), Models, Theoretical (mesh), Pattern Recognition, Automated (mesh), Predictive Value of Tests (mesh), Quality of Life (mesh), Regression Analysis (mesh), Treatment Outcome (mesh), Insurance claims, Prediction, Inflammatory bowel disease, Hospitalization, Biologics, Topic modeling, Humans (mesh), Colitis, Ulcerative (mesh), Crohn Disease (mesh), Biological Products (mesh), Treatment Outcome (mesh), Hospitalization (mesh), Data Collection (mesh), Area Under Curve (mesh), Regression Analysis (mesh), Predictive Value of Tests (mesh), Decision Making (mesh), Algorithms (mesh), Models, Theoretical (mesh), Quality of Life (mesh), International Classification of Diseases (mesh), Databases, Factual (mesh), Pattern Recognition, Automated (mesh), Adult (mesh), Health Care Costs (mesh), Insurance Claim Review (mesh), Insurance, Health (mesh), Biologics, Hospitalization, Inflammatory bowel disease, Insurance claims, Prediction, Topic modeling, Adult (mesh), Algorithms (mesh), Area Under Curve (mesh), Biological Products (mesh), Colitis, Ulcerative (mesh), Crohn Disease (mesh), Data Collection (mesh), Databases, Factual (mesh), Decision Making (mesh), Health Care Costs (mesh), Hospitalization (mesh), Humans (mesh), Insurance Claim Review (mesh), Insurance, Health (mesh), International Classification of Diseases (mesh), Models, Theoretical (mesh), Pattern Recognition, Automated (mesh), Predictive Value of Tests (mesh), Quality of Life (mesh), Regression Analysis (mesh), Treatment Outcome (mesh), Insurance claims, prediction, inflammatory bowel disease, hospitalization, biologics, topic modeling, 06 Biological Sciences (for), 08 Information and Computing Sciences (for), 11 Medical and Health Sciences (for), Biomedical Engineering (science-metrix), Medical Informatics (science-metrix), 4203 Health services and systems (for-2020), 4601 Applied computing (for-2020)

Přístupová URL adresa: https://escholarship.org/uc/item/3jk7c5rg

Creation of a Robust and Generalizable Machine Learning Classifier for Patient Ventilator Asynchrony*

Autoři: Rehm, Gregory B Han, Jinyoung Kuhn, Brooks T a další

Zdroj: Methods of Information in Medicine. 57(04)

Témata: 46 Information and Computing Sciences (for-2020), 42 Health Sciences (for-2020), 4611 Machine Learning (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), Machine Learning and Artificial Intelligence (rcdc), Patient Safety (rcdc), Bioengineering (rcdc), Algorithms (mesh), Decision Support Systems, Clinical (mesh), Humans (mesh), Machine Learning (mesh), Models, Theoretical (mesh), Respiration (mesh), Respiration, Artificial (mesh), Time Factors (mesh), Patient ventilator asynchrony, artificial respiration, machine learning, intensive care units, clinical decision support systems, Humans (mesh), Respiration, Artificial (mesh), Respiration (mesh), Algorithms (mesh), Models, Theoretical (mesh), Time Factors (mesh), Decision Support Systems, Clinical (mesh), Machine Learning (mesh), Algorithms (mesh), Decision Support Systems, Clinical (mesh), Humans (mesh), Machine Learning (mesh), Models, Theoretical (mesh), Respiration (mesh), Respiration, Artificial (mesh), Time Factors (mesh), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), 11 Medical and Health Sciences (for), Medical Informatics (science-metrix), 31 Biological sciences (for-2020), 42 Health sciences (for-2020), 46 Information and computing sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/2bs678wt
https://escholarship.org/content/qt2bs678wt/qt2bs678wt.pdf

Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression

Autoři: Belghith, Akram Bowd, Christopher Medeiros, Felipe A a další

Zdroj: Artificial Intelligence in Medicine. 64(2)

Témata: 46 Information and Computing Sciences (for-2020), 32 Biomedical and Clinical Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), 3212 Ophthalmology and Optometry (for-2020), Bioengineering (rcdc), Aging (rcdc), Biomedical Imaging (rcdc), Neurodegenerative (rcdc), Neurosciences (rcdc), Eye Disease and Disorders of Vision (rcdc), Clinical Research (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), Eye (hrcs-hc), Algorithms (mesh), Bayes Theorem (mesh), Computer Simulation (mesh), Decision Support Systems, Clinical (mesh), Decision Support Techniques (mesh), Disease Progression (mesh), Eye (mesh), Glaucoma (mesh), Humans (mesh), Image Interpretation, Computer-Assisted (mesh), Imaging, Three-Dimensional (mesh), Models, Statistical (mesh), Predictive Value of Tests (mesh), Reproducibility of Results (mesh), Time Factors (mesh), Tomography, Optical Coherence (mesh), Spatial dependency modeling, Copula theory, Kernel classifier, Glaucoma progression detection, Eye (mesh), Humans (mesh), Glaucoma (mesh), Disease Progression (mesh), Image Interpretation, Computer-Assisted (mesh), Imaging, Three-Dimensional (mesh), Tomography, Optical Coherence (mesh), Models, Statistical (mesh), Bayes Theorem (mesh), Reproducibility of Results (mesh), Predictive Value of Tests (mesh), Algorithms (mesh), Decision Support Techniques (mesh), Time Factors (mesh), Computer Simulation (mesh), Decision Support Systems, Clinical (mesh), Copula theory, Glaucoma progression detection, Kernel classifier, Spatial dependency modeling, Algorithms (mesh), Bayes Theorem (mesh), Computer Simulation (mesh), Decision Support Systems, Clinical (mesh), Decision Support Techniques (mesh), Disease Progression (mesh), Eye (mesh), Glaucoma (mesh), Humans (mesh), Image Interpretation, Computer-Assisted (mesh), Imaging, Three-Dimensional (mesh), Models, Statistical (mesh), Predictive Value of Tests (mesh), Reproducibility of Results (mesh), Time Factors (mesh), Tomography, Optical Coherence (mesh), 08 Information and Computing Sciences (for), 09 Engineering (for), Medical Informatics (science-metrix), 32 Biomedical and clinical sciences (for-2020), 42 Health sciences (for-2020), 46 Information and computing sciences (for-2020)

Přístupová URL adresa: https://escholarship.org/uc/item/59d93274

Porting of an Atmospheric Chemistry Solver to Parallel CPU-GPU Execution

Autoři: Guzman Ruiz, Christian

Thesis Advisors: Acosta, Mario C. (Mario César), César Galobardes, Eduardo

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Informàtica d'alt rendiment, High-Performance Computing, Computación de alto rendimient, GPU, Models climàtics químics, Chemistry Climate models, Modelos climáticos químicos, Tecnologies

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/693090

Massive cosmological data generation and distribution

Autoři: Tallada Crespi, Pau

Thesis Advisors: Tonello , Nadia, Carretero Palacios, Jorge, César Galobardes, Eduardo

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Gestió de dades, Data management, Gestión de datos, Distribució de dades, Data distribution, Distribución de datos, Optimització d'algorismes, Algorithm optimization, Optimización de algoritmos, Tecnologies

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/691707

Bandwidth vs BFS Width in Matrix Reordering, Graph Reconstruction, and Graph Drawing

Autoři: Eppstein, D Goodrich, MT Liu, S

Zdroj: Leibniz International Proceedings in Informatics Lipics. 351

Témata: 46 Information and computing sciences (for-2020)

Přístupová URL adresa: https://escholarship.org/uc/item/35q5x6tf

A Risk-Based Clinical Decision Support System for Patient-Specific Antimicrobial Therapy (iBiogram): Design and Retrospective Analysis

Autoři: Müller, Lars Srinivasan, Aditya Abeles, Shira R a další

Zdroj: Journal of Medical Internet Research. 23(12)

Témata: 4203 Health Services and Systems (for-2020), 42 Health Sciences (for-2020), Infectious Diseases (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Emerging Infectious Diseases (rcdc), Patient Safety (rcdc), Clinical Research (rcdc), 7.3 Management and decision making (hrcs-rac), Infection (hrcs-hc), 3 Good Health and Well Being (sdg), Anti-Bacterial Agents (mesh), Anti-Infective Agents (mesh), Decision Support Systems, Clinical (mesh), Humans (mesh), Retrospective Studies (mesh), antimicrobial resistance, clinical decision support, antibiotic stewardship, data visualization, Humans (mesh), Anti-Infective Agents (mesh), Anti-Bacterial Agents (mesh), Retrospective Studies (mesh), Decision Support Systems, Clinical (mesh), antibiotic stewardship, antimicrobial resistance, clinical decision support, data visualization, Anti-Bacterial Agents (mesh), Anti-Infective Agents (mesh), Decision Support Systems, Clinical (mesh), Humans (mesh), Retrospective Studies (mesh), 08 Information and Computing Sciences (for), 11 Medical and Health Sciences (for), 17 Psychology and Cognitive Sciences (for), Medical Informatics (science-metrix), 4203 Health services and systems (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/0s2898wm
https://escholarship.org/content/qt0s2898wm/qt0s2898wm.pdf

Computational Geometry with Probabilistically Noisy Primitive Operations

Autoři: Eppstein, D Goodrich, MT Sridhar, V

Zdroj: Leibniz International Proceedings in Informatics Lipics. 349

Témata: 46 Information and computing sciences (for-2020)

Přístupová URL adresa: https://escholarship.org/uc/item/2z8632j4

Sampling Conditions for Conforming Voronoi Meshing by the VoroCrust Algorithm

Autoři: Abdelkader, Ahmed Bajaj, Chandrajit L Ebeida, Mohamed S a další

Zdroj: LIPIcs : Leibniz international proceedings in informatics. 99

Témata: Information and Computing Sciences, Graphics, Augmented Reality and Games, Voronoi, polyhedral meshing, sampling conditions, surface reconstruction, cs.CG, I.3.5, Information and computing sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/43r7q64x
https://escholarship.org/content/qt43r7q64x/qt43r7q64x.pdf

Saliency-driven system models for cell analysis with deep learning

Autoři: Ferreira, Daniel S Ramalho, Geraldo LB Torres, Débora a další

Zdroj: Computer Methods and Programs in Biomedicine. 182

Témata: 46 Information and Computing Sciences (for-2020), 4611 Machine Learning (for-2020), Eye Disease and Disorders of Vision (rcdc), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Machine Learning and Artificial Intelligence (rcdc), Cervix Uteri (mesh), Deep Learning (mesh), Female (mesh), Humans (mesh), Neural Networks, Computer (mesh), Papanicolaou Test (mesh), Saliency prediction, Convolutional neural network, Cell analysis, Eye tracking experiment, Cervix Uteri (mesh), Humans (mesh), Female (mesh), Papanicolaou Test (mesh), Deep Learning (mesh), Neural Networks, Computer (mesh), Cell analysis, Convolutional neural network, Eye tracking experiment, Saliency prediction, Cervix Uteri (mesh), Deep Learning (mesh), Female (mesh), Humans (mesh), Neural Networks, Computer (mesh), Papanicolaou Test (mesh), 0801 Artificial Intelligence and Image Processing (for), 0903 Biomedical Engineering (for), 0906 Electrical and Electronic Engineering (for), Medical Informatics (science-metrix), 4003 Biomedical engineering (for-2020), 4601 Applied computing (for-2020), 4603 Computer vision and multimedia computation (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/3vv6b76k
https://escholarship.org/content/qt3vv6b76k/qt3vv6b76k.pdf

Evaluation of an automated phenotyping algorithm for rheumatoid arthritis

Autoři: Zheng, Henry W Ranganath, Veena K Perry, Lucas C a další

Zdroj: Journal of Biomedical Informatics. 135

Témata: 46 Information and Computing Sciences (for-2020), 4601 Applied Computing (for-2020), Rheumatoid Arthritis (rcdc), Arthritis (rcdc), Clinical Research (rcdc), Autoimmune Disease (rcdc), 7.3 Management and decision making (hrcs-rac), 7.1 Individual care needs (hrcs-rac), Inflammatory and immune system (hrcs-hc), Humans (mesh), Electronic Health Records (mesh), Algorithms (mesh), Knowledge Bases (mesh), Phenotype (mesh), Arthritis, Rheumatoid (mesh), Phenotyping algorithm, Computational phenotyping, Rheumatoid arthritis, PheKB, Humans (mesh), Arthritis, Rheumatoid (mesh), Phenotype (mesh), Algorithms (mesh), Knowledge Bases (mesh), Electronic Health Records (mesh), Computational phenotyping, PheKB, Phenotyping algorithm, Rheumatoid arthritis, Humans (mesh), Electronic Health Records (mesh), Algorithms (mesh), Knowledge Bases (mesh), Phenotype (mesh), Arthritis, Rheumatoid (mesh), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), 11 Medical and Health Sciences (for), Biomedical Engineering (science-metrix), Medical Informatics (science-metrix), 4203 Health services and systems (for-2020), 4601 Applied computing (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/9pd5z853
https://escholarship.org/content/qt9pd5z853/qt9pd5z853.pdf

Post-quantum cryptography acceleration for next generation computers

Autoři: Kostalampros, Ioannis-Vatistas

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Moretó Planas, Miquel, Hernández Luz, Carles

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Àrees temàtiques de la UPC::Informàtica, 004 - Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/695219
https://dx.doi.org/10.5821/dissertation-2117-441612

NEMO: computational challenges in ocean simulation

Autoři: Tintó Prims, Oriol

Přispěvatelé: University/Department: Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius

Thesis Advisors: oriol.tinto@bsc.es, Cortés Fité, Ana, Acosta, Mario C. (Mario César), Doblas-Reyes, Francisco J.

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Model oceànic, Modelo oceánico, Oceanic model, Computació d'altes prestacions, Computación de altas prestaciones, High performance computing, Paral·lelisme, Paralelismo, Parallelism, Tecnologies

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/669877

Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies

Autoři: Brunyé, Tad T Booth, Kelsey Hendel, Dalit a další

Zdroj: Journal of the American Medical Informatics Association. 31(3)

Témata: 46 Information and Computing Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Cancer (rcdc), Patient Safety (rcdc), Women's Health (rcdc), Machine Learning and Artificial Intelligence (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Breast Cancer (rcdc), Behavioral and Social Science (rcdc), Basic Behavioral and Social Science (rcdc), Clinical Research (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), Humans (mesh), Pathologists (mesh), Breast (mesh), Algorithms (mesh), Biopsy (mesh), Machine Learning (mesh), breast pathology, medical education, medical residency training, machine learning, diagnostic decision-making, medical image interpretation, diagnostic accuracy, Breast (mesh), Humans (mesh), Biopsy (mesh), Algorithms (mesh), Machine Learning (mesh), Pathologists (mesh), breast pathology, diagnostic accuracy, diagnostic decision-making, machine learning, medical education, medical image interpretation, medical residency training, Humans (mesh), Pathologists (mesh), Breast (mesh), Algorithms (mesh), Biopsy (mesh), Machine Learning (mesh), 08 Information and Computing Sciences (for), 09 Engineering (for), 11 Medical and Health Sciences (for), Medical Informatics (science-metrix), 32 Biomedical and clinical sciences (for-2020), 42 Health sciences (for-2020), 46 Information and computing sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/1d62s5j9
https://escholarship.org/content/qt1d62s5j9/qt1d62s5j9.pdf

Particle-in-cell algorithms for plasma simulations on heterogeneous architectures

Autoři: Sáez Pous, Xavier

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Cela Espín, José M. (José María), Soba Pascual, Alejandro

Zdroj: TDX (Tesis Doctorals en Xarxa)

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/381258
https://dx.doi.org/10.5821/dissertation-2117-96109

Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.

Autoři: Figueroa, Caroline A Aguilera, Adrian Chakraborty, Bibhas a další

Zdroj: Journal of the American Medical Informatics Association. 28(6)

Témata: Health Services, Clinical Research, Behavioral and Social Science, Basic Behavioral and Social Science, Generic health relevance, Good Health and Well Being, Algorithms, Humans, Machine Learning, Mobile Applications, Reproducibility of Results, Telemedicine, telemedicine, machine learning, algorithms, implementation science, behavioral medicine, Information and Computing Sciences, Engineering, Medical and Health Sciences, Medical Informatics

Přístupová URL adresa: https://escholarship.org/uc/item/2d96h5q3

A hierarchical parallel implementation model for algebra-based CFD simulations on hybrid supercomputers

Autoři: Álvarez Farré, Xavier

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics

Thesis Advisors: Oliva Llena, Asensio, Gorobets, Andrei

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Àrees temàtiques de la UPC::Física

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/687793
https://dx.doi.org/10.5821/dissertation-2117-384828