Relevant bibliographies by topics / Computational breath analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computational breath analysis'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Computational breath analysis"

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Sokolov, Oleksandr, Krzysztof Dobosz, Joanna Dreszer, et al. "Spirometry Data Analysis and Monitoring in Medical and Physiological Tests." Journal of Education, Health and Sport 5, no. 3 (2015): 35–46. https://doi.org/10.5281/zenodo.16171.

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<strong>Sokolov Oleksandr, Dobosz Krzysztof, Dreszer Joanna, Duch Włodzisław, Grzelak Sławomir, Komendziński Tomasz,&nbsp;Mikołajewski Dariusz, Piotrowski Tomasz, Świerkocka Małgorzata, Weber Piotr. </strong><strong>Spirometry Data Analysis and Monitoring in Medical and Physiological Tests. Journal of Education, Health and Sport. 2015;5(3):35-46. ISSN 2391-8306. DOI: </strong><strong>10.5281/zenodo.16171</strong> <strong>http://ojs.ukw.edu.pl/index.php/johs/article/view/2015%3B5%283%29%3A35-46</strong> <strong>https://pbn.nauka.gov.pl/works/546923</strong> <strong>http://dx.doi.org/10.5281/zen
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Hu, Fuli, Songhua Ma, and Tianliang Hu. "Mechanistic Analysis of Fluid Dynamics and Multifactorial Impact Mechanisms in Inhaled Pharmaceutical Deposition for Chronic Respiratory Diseases." Bioengineering 12, no. 6 (2025): 643. https://doi.org/10.3390/bioengineering12060643.

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The clinical efficacy of inhalation therapy in chronic respiratory diseases is fundamentally constrained by particle deposition patterns. This study employs computational fluid dynamics (CFD) and response surface methodology (RSM) to elucidate the mechanistic interplay of deposition determinants through multifactorial sensitivity mapping. The study comprises two key components: (i) the development of an accurate three-dimensional respiratory airway model spanning from the oral cavity to the fifth-generation bronchi and (ii) the integration of a Box–Behnken Design (BBD) experimental framework w
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Campanelli, L., M. Cavazzuti, and P. Tartarini. "Multi-scale analysis of respiratory droplets transport within the breathing cloud." Journal of Physics: Conference Series 2685, no. 1 (2024): 012066. http://dx.doi.org/10.1088/1742-6596/2685/1/012066.

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Abstract Infectious diseases are transmitted primarily through pathogen laden droplets commonly exhaled during respiratory events such as breathing, coughing, or sneezing. The transport and evaporation of droplets are governed by the fundamental laws of fluid mechanics and convection-diffusion. From these, analytical models can be created helping in better understanding pathogens transmission from a mechanical perspective. The droplet transport within the humid air breath cloud and the local ventilation are crucial for accurately predicting the droplet fate. Different levels of complexity are
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Kafle, J., H. P. Gaire, P. R. Pokhrel, and P. Kattel. "Analysis of blood flow through curved artery with mild stenosis." Mathematical Modeling and Computing 9, no. 2 (2022): 217–25. http://dx.doi.org/10.23939/mmc2022.02.217.

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Building-up of plaque narrows arteries, decreasing blood flow to the heart, causing chest pain, shortness of breath, or other coronary artery disease signs and symptoms. Implementing Navier–Stokes equations in a cylindrical coordinate system and assuming axial symmetry under laminar flow conditions, the study has been conducted on the two aspects of blood flow dynamics viz., velocity profile and volumetric flow rate of blood around curved stenosis with a variation of curvature of the artery and the stenosis thickness. The blood flow behavior taking different values for the viscosity coefficien
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Muller, Kenneth J., Gavriil Tsechpenakis, Ryota Homma, John G. Nicholls, Lawrence B. Cohen, and Jaime Eugenin. "Optical analysis of circuitry for respiratory rhythm in isolated brainstem of foetal mice." Philosophical Transactions of the Royal Society B: Biological Sciences 364, no. 1529 (2009): 2485–91. http://dx.doi.org/10.1098/rstb.2009.0070.

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Respiratory rhythms arise from neurons situated in the ventral medulla. We are investigating their spatial and functional relationships optically by measuring changes in intracellular calcium using the fluorescent, calcium-sensitive dye Oregon Green 488 BAPTA-1 AM while simultaneously recording the regular firing of motoneurons in the phrenic nerve in isolated brainstem/spinal cord preparations of E17 to E19 mice. Responses of identified cells are associated breath by breath with inspiratory and expiratory phases of respiration and depend on CO 2 and pH levels. Optical methods including two-ph
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Zhou, X., L. Del Sorbo, O. Hough, et al. "A Computational Approach to Breath-By-Breath Ventilator Waveform Data Extraction and Analysis During Ex Vivo Lung Perfusion Enables Enhanced Physiological Lung Assessment." Journal of Heart and Lung Transplantation 42, no. 4 (2023): S20. http://dx.doi.org/10.1016/j.healun.2023.02.038.

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Wang, Jin, Kenji Sakai, and Toshihiko Kiwa. "Rational Design of Peptides Derived from Odorant-Binding Proteins for SARS-CoV-2-Related Volatile Organic Compounds Recognition." Molecules 27, no. 12 (2022): 3917. http://dx.doi.org/10.3390/molecules27123917.

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Peptides are promising molecular-binding elements and have attracted great interest in novel biosensor development. In this study, a series of peptides derived from odorant-binding proteins (OBPs) were rationally designed for recognition of SARS-CoV-2-related volatile organic compounds (VOCs). Ethanol, nonanal, benzaldehyde, acetic acid, and acetone were selected as representative VOCs in the exhaled breath during the COVID-19 infection. Computational docking and prediction tools were utilized for OBPs peptide characterization and analysis. Multiple parameters, including the docking model, bin
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Wu, Hung-Chieh, Fu-Lun Chen, Yuan-Ching Chiang, et al. "Increasing Nebulizer Spray Efficiency Using a Baffle with a Conical Surface: A Computational Fluid Dynamics Analysis." Bioengineering 12, no. 7 (2025): 680. https://doi.org/10.3390/bioengineering12070680.

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Breath-actuated nebulizers used in aerosol therapy are vital to children and patients with disabilities and stand out for their ability to accurat ely deliver medication while minimizing waste. Their performance can be measured according to the mass output and droplet size. This study aimed to analyze how the baffle impact surface geometries affect the pressure and flow streamlines inside the nebulizer using computational fluid dynamics (CFD). Computer-aided design models of conical symmetric, conical asymmetric, and arc-shaped baffle designs were analyzed using CFD simulations, with the optim
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Roquencourt, Camille, Stanislas Grassin-Delyle, and Etienne A. Thévenot. "ptairMS: real-time processing and analysis of PTR-TOF-MS data for biomarker discovery in exhaled breath." Bioinformatics 38, no. 7 (2022): 1930–37. http://dx.doi.org/10.1093/bioinformatics/btac031.

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Abstract Motivation Analysis of volatile organic compounds (VOCs) in exhaled breath by proton transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS) is of increasing interest for real-time, non-invasive diagnosis, phenotyping and therapeutic drug monitoring in the clinics. However, there is currently a lack of methods and software tools for the processing of PTR-TOF-MS data from cohorts and suited for biomarker discovery studies. Results We developed a comprehensive suite of algorithms that process raw data from patient acquisitions and generate the table of feature intensities. Notab
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Jung, Minji, Woong June Chung, Minki Sung, Seongmin Jo, and Jinkwan Hong. "Analysis of Infection Transmission Routes through Exhaled Breath and Cough Particle Dispersion in a General Hospital." International Journal of Environmental Research and Public Health 19, no. 5 (2022): 2512. http://dx.doi.org/10.3390/ijerph19052512.

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Identifying infection transmission routes in hospitals may prevent the spread of respiratory viruses and mass infections. Most previous related research focused on the air movement of passive tracers, which typically represent breathing. In this study, particle evaporation and dispersions with various particle sizes were applied to evaluate particle movement because of breathing and coughing using computational fluid dynamics (CFD) simulations. Pyeongtaek St. Mary Hospital, where a Middle East respiratory syndrome (MERS) index patient infected several patients on the same floor, was used for a
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Dissertations / Theses on the topic "Computational breath analysis"

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Lee, Justin Wu. "Computational imaging and analysis in breast cancer." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115703.

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Thesis: Ph. D. in Biomedical Engineering, Harvard-MIT Program in Health Sciences and Technology, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 125-136).<br>The conventional pathologic analysis of malignancies involves a qualitative characterization and integration of several factors including tumor size, general degree of differentiation, tumor heterogeneity, mitotic rate, and lymphovascular invasion. For some cancers, biomarkers such as hormone receptor expression or receptor kinase over-expression can provide additional prognostic and therapeuti
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LECUNA, TOVAR MARICARMEN LEANDRA. "Scale down of a dynamic generator of VOC reference gas mixtures." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2676926.

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A system for the dynamic preparation of reference gas mixtures based on the diffusion technique has been developed by the National Metrology Institute of Italy i.e. the Istituto Nazionale di Ricerca Metrologica (INRIM). The gravimetric method used for the estimation of the diffusion rate and consequent concentration, gives the system the property to be a primary standard. The system can generate mixtures with low uncertainty and high stability in the 20 nmol.mol-1 - 2.5 µmol.mol-1 concentration range with a 5% (k = 2) expanded uncertainty for mixtures of acetone in air. Based on this system,
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Rayford, II Cleveland Eugene. "Digital Breast Tomosynthesis (DBT) Computational Analysis With Parallel Imaging Configurations To Improve Breast Cancer Detection." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/theses/574.

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The best way to conquer breast cancer is early detection of the disease. Research studies show that earlier detection results in the increase of life span of the affected person. Traditional two-dimensional mammography is the most prevalent method used in detecting breast cancer. Recently, a three-dimensional digital breast tomosynthesis (DBT) system has been created, which is hopeful to surpass the technology of traditional mammography systems. The DBT system can provide three-dimensional information, allowing physicians to reduce the amount of false negative screening in addition to better m
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Fimereli, Danai. "Computational analyses of gene fusions, viruses and parasitic genomic elements in breast cancer." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/263609.

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Breast cancer is the most common cancer in women and research efforts to unravel the underlying mechanisms that drive carcinogenesis are continuous. The emergence of high-throughput sequencing techniques and their constant advancement, in combination with large scale studies of genomic and transcriptomic data, allowed the identification of important genetic changes that take place in the breast cancer genome, including somatic mutations, copy number aberrations and genomic rearrangements.The overall aim of this thesis is to explore the presence of genetic changes that take place in the breast
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Arif, Km Taufiqul. "Functional association of Micrornas with molecular subtypes of breast cancer." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/213110/1/Km%20Taufiqul_Arif_Thesis.pdf.

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This research study investigated the association of microRNA related single nucleotide polymorphisms (miRSNPs) with breast cancer susceptibility in Australian Caucasian women. The thesis then progressed with developing an in silico methodology for miRNA-target identification followed by the validation of miRNA-target relationships regarding the distinctive molecular subtypes of human breast cancers.
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Frankhouser, David E. "Methylome Analysis: From Computation Workflow Development to Implementation in a Breast Cancer Prevention Trial." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1512052081030923.

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Jiménez, Garay Gabriel Alexandro. "Deep Learning for Semantic Segmentation versus Classification in Computational Pathology: Application to mitosis analysis in Breast Cancer grading." Master's thesis, Pontificia Universidad Católica del Perú, 2019. http://hdl.handle.net/20.500.12404/13969.

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Existing computational pathology approaches did not allow, yet, the emergence of effective/efficient computer-aided tools used as a second opinion for pathologists in the daily practice. Focusing on the case of computer-based qualification for breast cancer diagnosis, the present article proposes two deep learning architectures to efficiently and effectively detect and classify mitosis in a histopathological tissue sample. The first method consisted of two parts, entailing a preprocessing of the digital histological image and a free-handcrafted-feature Convolutional Neural Network (CNN) used f
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Sanchez, Crespo Alejandro. "Novel computational methods for image analysis and quantification using position sensitive radiation detectors." Doctoral thesis, Stockholm University, Medical Radiation Physics (together with KI), 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-754.

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<p>The major advantage of position sensitive radiation detector systems lies in their ability to non invasively map the regional distribution of the emitted radiation in real-time. Three of such detector systems were studied in this thesis, gamma-cameras, positron cameras and CMOS image sensors. A number of physical factors associated to these detectors degrade the qualitative and quantitative properties of the obtained images. These blurring factors could be divided into two groups. The first group consists of the general degrading factors inherent to the physical interaction processes of rad
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Heather, Andrew. "Numerical and physical analysis of liquid break-up and atomisation relating to pressure-swirl gasoline direct injection." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/14401.

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This thesis presents detailed fuel spray investigations relating to an automotive Gasoline Direct Injection (GDI) pressure-swirl injector, employing a combination of numerical and physical analyses. The emphasis is placed on the near-nozzle in recognition that all later flow processes are dominated by this critical region. To enable the technology to maximise its potential, it is essential to further our understanding of the fundamental flow physics that govern the injection process, which remain largely unknown. The complexity of the spray process has led to many avenues of research. Simplifi
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Khan, Fayaz A. "Two-dimensional shock capturing numerical simulation of shallow water flow applied to dam break analysis." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/7750.

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With the advances in the computing world, computational fluid dynamics (CFD) is becoming more and more critical tool in the field of fluid dynamics. In the past few decades, a huge number of CFD models have been developed with ever improved performance. In this research a robust CFD model, called Riemann2D, is extended to model flow over a mobile bed and applied to a full scale dam break problem. Riemann2D, an object oriented hyperbolic solver that solves shallow water equations with an unstructured triangular mesh and using high resolution shock capturing methods, provides a generic framework
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Books on the topic "Computational breath analysis"

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Leondes, Cornelius T. Structural Dynamic Systems Computational Techniques and Optimization: Nonlinear Techniques (Gordon and Breadh International Series on Engineering, Technology and Applied Science, Volume 15). CRC, 1999.

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Newman, Mark. Computer algorithms. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0008.

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This chapter introduces some of the fundamental concepts of numerical network calculations. The chapter starts with a discussion of basic concepts of computational complexity and data structures for storing network data, then progresses to the description and analysis of algorithms for a range of network calculations: breadth-first search and its use for calculating shortest paths, shortest distances, components, closeness, and betweenness; Dijkstra's algorithm for shortest paths and distances on weighted networks; and the augmenting path algorithm for calculating maximum flows, minimum cut se
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Book chapters on the topic "Computational breath analysis"

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Patsiris, Stephanos, Anna Karpouza, Themis Exarchos, and Panagiotis Vlamos. "Exhaled Breath Analysis in Neurodegenerative Diseases." In Handbook of Computational Neurodegeneration. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-319-75922-7_67.

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Patsiris, Stephanos, Anna Karpouza, Themis Exarchos, and Panagiotis Vlamos. "Exhaled Breath Analysis in Neurodegenerative Diseases." In Handbook of Computational Neurodegeneration. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-319-75479-6_67-2.

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Patsiris, Stephanos, Anna Karpouza, Themis Exarchos, and Panagiotis Vlamos. "Exhaled Breath Analysis in Neurodegenerative Diseases." In Handbook of Computational Neurodegeneration. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-75479-6_67-1.

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Li, Yongqing, and Wei Zhao. "Accurate Breast Tumor Identification Using Computational Ultrasound Image Features." In Computational Mathematics Modeling in Cancer Analysis. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-17266-3_15.

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Palacios, René, and Victor Morales-Rocha. "A Proposal for Data Breach Detection in Organizations Based on User Behavior." In Computational Intelligence for Business Analytics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73819-8_17.

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Lim, Il-Kwon, Young-Hyuk Kim, Jae-Gwang Lee, Jae-Pil Lee, Hyun Nam-Gung, and Jae-Kwang Lee. "The Analysis and Countermeasures on Security Breach of Bitcoin." In Computational Science and Its Applications – ICCSA 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09147-1_52.

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Koohbanani, Navid Alemi, Talha Qaisar, Muhammad Shaban, Jevgenij Gamper, and Nasir Rajpoot. "Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images." In Computational Pathology and Ophthalmic Medical Image Analysis. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00949-6_17.

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De, Manaswini, Arunima Jaiswal, and Tanya Dixit. "Comparative Analysis of Classical and Quantum Machine Learning for Breast Cancer Classification." In Computational Intelligence and Mathematical Applications. CRC Press, 2024. http://dx.doi.org/10.1201/9781003534112-35.

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Mann, Lovedeep, and Soumya Ranjan Nayak. "Recent Advances on Mammogram Imaging for Breast Cancer Analysis: A Technological Review." In Computational Intelligence in Pattern Recognition. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2543-5_46.

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Shang, Zihao, Hong Liu, Kuansong Wang, and Xiangdong Wang. "BM-SMIL: A Breast Cancer Molecular Subtype Prediction Framework from H&E Slides with Self-supervised Pretraining and Multi-instance Learning." In Computational Mathematics Modeling in Cancer Analysis. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45087-7_9.

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Conference papers on the topic "Computational breath analysis"

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Sathish, Dayakshini, Aswathi T, Sathish Kabekody, et al. "Comparative Analysis of Snake and Ellipse Segmentation Methods for Breast Cancer Detection using Breast Thermograms." In First International Conference on Computer, Computation and Communication (IC3C-2025). River Publishers, 2025. https://doi.org/10.13052/rp-9788743808268a054.

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Mehta, Shiva, and Saniya Khurana. "Spatial-Sequential Analysis for Breast Cancer Diagnosis: Integrating CNN and LSTM Architectures." In 2025 International Conference on Automation and Computation (AUTOCOM). IEEE, 2025. https://doi.org/10.1109/autocom64127.2025.10957377.

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Sharma, Vijay Shankar, Atul Srivastava, Siddhanta Kumar Singh, and Kamlesh Kumar Singh. "Performance Analysis of Machine Learning Algorithms for Breast Cancer Prediction in Medical Sectors." In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES). IEEE, 2024. https://doi.org/10.1109/ic3tes62412.2024.10877659.

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Keangin, Pornthip, Chayanan Taypongsak, Witchuda Srimuang, Thanaphat Niamnara, and Phadungsak Rattanadecho. "A Computational Analysis of 3D Breast Tissue Model to Simulate Thermal Effects and Tissue Damage due to Microwave Ablation." In 2024 2nd International Conference on Power and Renewable Energy Engineering (PREE). IEEE, 2024. https://doi.org/10.1109/pree63126.2024.10955824.

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S, Sivagami, Sathya A, and Afsin S. "Ultrasound Image Analysis in Breast Cancer: A Comparative Study of Decision Trees and Random Forests." In 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2024. https://doi.org/10.1109/cicn63059.2024.10847499.

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Mane, Lokesh, Veera Reddy Aduru, Vamsi Siliveru, Hemanth Kollu, and Hiranya Vardhan Gogulamudi. "Comparative Analysis of Machine Learning Algorithms and Neural Networks in Early Detection of Breast Cancer." In 2024 International Conference on Computational Intelligence for Green and Sustainable Technologies (ICCIGST). IEEE, 2024. http://dx.doi.org/10.1109/iccigst60741.2024.10717586.

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Sahoo, Somya Ranjan, Phani Krishna Bulasara, S. Kartik Iyer, and Akash Sharma. "A Robust Model for Early Detection and Diagnosis of Breast Cancer using Linear Discriminant Analysis." In 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2024. https://doi.org/10.1109/csitss64042.2024.10817055.

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Smieja, Piotr J., Jiang Lu, Qingquan Sun, Xingang Fu, and Ting Zhang. "Exhaled Breath Analysis Based Diabetes Detection with k-Nearest Neighbors Classifier." In 2023 16th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2023. http://dx.doi.org/10.1109/iscid59865.2023.00037.

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Carotenuto, Carlo, Francesco Orlandi, Luca Montorsi, and Massimo Milani. "CFD With Fluid Structure Interaction Analysis of Lung Alveolar Sacs and its Applications in Emphysema Study." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-109534.

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Abstract Emphysema, a chronic lung disease characterized by respiratory distress and reduced lung function, poses significant challenges. Computational Fluid Dynamics (CFD) coupled with fluid structure interaction (FSI) is a highly effective simulation technique that offers valuable insights into the mechanics of lung function and the influence of diseases like emphysema. The intricate lung alveolar sacs play a vital role in gas exchange, and CFD with FSI enables the simulation of mechanical forces that shape and impact their functionality. By employing CFD with FSI, we can simulate the fluid
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Chamis, C. C., and R. H. Johns. "Computational Engine Structural Analysis." In ASME 1986 International Gas Turbine Conference and Exhibit. American Society of Mechanical Engineers, 1986. http://dx.doi.org/10.1115/86-gt-70.

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A significant research activity at the NASA Lewis Research Center is the computational simulation of complex multidisciplinary engine structural problems. This simulation is performed using computational engine structural analysis (CESA) which consists of integrated multidisciplinary computer codes in conjunction with computer post-processing for “problem-specific” application. A variety of the computational simulations of specific cases are described in some detail in this paper. These case studies include (1) aeroelastic behavior of bladed rotors, (2) high velocity impact of fan blades, (3)
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Reports on the topic "Computational breath analysis"

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Pawlowski, Wojtek P., and Avraham A. Levy. What shapes the crossover landscape in maize and wheat and how can we modify it. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7600025.bard.

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Meiotic recombination is a process in which homologous chromosomes engage in the exchange of DNA segments, creating gametes with new genetic makeup and progeny with new traits. The genetic diversity generated in this way is the main engine of crop improvement in sexually reproducing plants. Understanding regulation of this process, particularly the regulation of the rate and location of recombination events, and devising ways of modifying them, was the major motivation of this project. The project was carried out in maize and wheat, two leading crops, in which any advance in the breeder’s tool
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Cunningham, Albert R. Investigating the Mechanisms of Action and the Identification of Breast Carcinogens by Computational Analysis of Female Rodent Carcinogens. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada443017.

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Cunningham, Albert R. Investigating the Mechanisms of Action and the Identification of Breast Carcinogens by Computational Analysis of Female Rodent Carcinogens. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada410270.

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Cunningham, Albert R. Investigating the Mechanisms of Action and the Identification of Breast Carcinogens by Computational Analysis of Female Rodent Carcinogena. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada435262.

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Cunningham, Albert R. Investigating the Mechanisms of Action and the Identification of Breast Carcinogens by Computational Analysis of Female Rodent Carcinogens. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada425200.

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Cunningham, Albert R. Investigating the Mechanism of Action and the Identification of Breast Carcinogens by Computational Analysis of Female Rodent Carcinogens. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada469150.

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Perdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, 2021. http://dx.doi.org/10.46337/210930.

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Disruptive socio-natural transformations and climatic change, where system invariants and symmetries break down, defy the traditional complexity paradigms such as machine learning and artificial intelligence. In order to overcome this, we introduced non-ergodic Information Physics, bringing physical meaning to inferential metrics, and a coevolving flexibility to the metrics of information transfer, resulting in new methods for causal discovery and attribution. With this in hand, we develop novel dynamic models and analysis algorithms natively built for quantum information technological platfor
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Or, Etti, David Galbraith, and Anne Fennell. Exploring mechanisms involved in grape bud dormancy: Large-scale analysis of expression reprogramming following controlled dormancy induction and dormancy release. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7587232.bard.

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The timing of dormancy induction and release is very important to the economic production of table grape. Advances in manipulation of dormancy induction and dormancy release are dependent on the establishment of a comprehensive understanding of biological mechanisms involved in bud dormancy. To gain insight into these mechanisms we initiated the research that had two main objectives: A. Analyzing the expression profiles of large subsets of genes, following controlled dormancy induction and dormancy release, and assessing the role of known metabolic pathways, known regulatory genes and novel se
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