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Journal articles on the topic 'Computational breath analysis'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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, 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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Sung, Kun Hyuk, and Hong Sun Ryou. "Numerical Analysis on the Influence of the Unsteady Effect upon the Flow Characteristics in a Human Airway." Applied Mechanics and Materials 302 (February 2013): 628–34. http://dx.doi.org/10.4028/www.scientific.net/amm.302.628.

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The focus is on the unsteady effect on the flow characteristics considering the real respiration in a human airway. In order to capture the unsteady effect, the flow characteristics were investigated and compared with that of steady flow by using the computational fluid dynamics technique. The real respiratory flow rate in a light workload was appliedto the inlet of airway. The unsteady effects especially appear when the flow rate accelerates in the inspiratory and the expiratory phase than other times in a breath cycle. The size of the flow recirculation zone, the turbulence fluctuation and t

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Asral, Asral, Ridwan Abdurrahman, Wai Chang Khoo, et al. "CFD Analysis of Coronavirus Dispersion through Breathing in Aircraft Cabin Environments." Journal of Advances in Fluid, Heat, and Materials Engineering 1, no. 1 (2025): 49–59. https://doi.org/10.37934/afhme.1.1.4959a.

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In 2019, the coronavirus rapidly spread worldwide and was declared a pandemic by the World Health Organization (WHO). As the world is currently in the post-COVID stage, many sectors, including air travel, are being reopened. To understand the flow characteristics in aircraft cabins due to the breathing of a coronavirus patient, a simulation was conducted using Computational Fluid Dynamics (CFD). In this study, a simplified 7-row commercial aircraft cabin was modelled. In addition, a human manikin was designed to simulate the breathing of a coronavirus patient in the cabin. The simulation was c

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Andrews, Anna, Pezad Doctor, Lasya Gaur, F. Gerald Greil, Tarique Hussain, and Qing Zou. "Manifold-based denoising for Ferumoxytol-enhanced 3D cardiac cine MRI." Mathematical Biosciences and Engineering 21, no. 3 (2024): 3695–712. http://dx.doi.org/10.3934/mbe.2024163.

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<abstract><p>The two-dimensional (2D) cine cardiovascular magnetic resonance (CMR) technique is the reference standard for assessing cardiac function. However, one challenge with 2D cine is that the acquisition time for the whole cine stack is long and requires multiple breath holds, which may not be feasible for pediatric or ill patients. Though single breath-hold multi-slice cine may address the issue, it can only acquire low-resolution images, and hence, affect the accuracy of cardiac function assessment. To address these challenges, a Ferumoxytol-enhanced, free breathing, isotr

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Orlova, Yulia, Alexander Gorobtsov, Oleg Sychev, Vladimir Rozaliev, Alexander Zubkov, and Anastasia Donsckaia. "Method for Determining the Dominant Type of Human Breathing Using Motion Capture and Machine Learning." Algorithms 16, no. 5 (2023): 249. http://dx.doi.org/10.3390/a16050249.

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Since the COVID-19 pandemic, the demand for respiratory rehabilitation has significantly increased. This makes developing home (remote) rehabilitation methods using modern technology essential. New techniques and tools, including wireless sensors and motion capture systems, have been developed to implement remote respiratory rehabilitation. Significant attention during respiratory rehabilitation is paid to the type of human breathing. Remote rehabilitation requires the development of automated methods of breath analysis. Most currently developed methods for analyzing breathing do not work with

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Zhang, Zhiguo, and Maoning Wei. "Development of a Smart Metered-Dose Inhaler for Asthma Based on Computational Fluid Dynamics." Symmetry 15, no. 9 (2023): 1712. http://dx.doi.org/10.3390/sym15091712.

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Asthma is a common respiratory disease with symptoms such as repeated wheezing, shortness of breath, and coughing. However, currently, asthma cannot be cured but only controlled or relieved using medication. The metered-dose inhaler (MDI) is known to lead to high deposition fractions of drug particles in the mouth and throat, resulting in inadequate drug efficacy. Therefore, herein, the factors influencing the deposition fraction of asthma drugs in the mouth and throat regions were explored by computational fluid dynamics and a smart MDI for asthma was designed. The smart MDI was designed base

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Safakar, M., S. Syafiie, and R. Yunus. "CFD Analysis of Indoor Chlorine Gas Dispersion Storage: Temperatures, Wind Velocities and Ventilation Effects Studies." ASEAN Journal of Chemical Engineering 16, no. 1 (2016): 1. http://dx.doi.org/10.22146/ajche.49669.

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The Chemical products factories encounter inherent environmental risks in the process. The indoor release of hazardous chemical gases that are heavier than the air is nowadays a special subject for scrutiny because the dense clouds of the gas have a tendency to insist on the ground level or near the human breath level, causing fatal injuries or other potential health threats to human beings. In this study, a computational fluid dynamics (CFD) code FLUENT was employed in order to model the accidental indoor dispersion of a dense gas (chlorine) from a small undetected leak in an indoor industria

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Ali, Amjad, Yang Wei, Yomna Elsaboni, et al. "A Novel Wearable Sensor for Measuring Respiration Continuously and in Real Time." Sensors 24, no. 20 (2024): 6513. http://dx.doi.org/10.3390/s24206513.

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In this work, a flexible textile-based capacitive respiratory sensor, based on a capacitive sensor structure, that does not require direct skin contact is designed, optimised, and evaluated using both computational modelling and empirical measurements. In the computational study, the geometry of the sensor was examined. This analysis involved observing the capacitance and frequency variations using a cylindrical model that mimicked the human body. Four designs were selected which were then manufactured by screen printing multiple functional layers on top of a polyester/cotton fabric. The print

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Sokolov, Oleksandr, Sebastian Meszyński, Joanna Dreszer-Drogorób, et al. "Intelligent emotions stabilization system using standarized images, breath sensor and biofeedback – preliminary findings - short communication." Journal of Education, Health and Sport 5, no. 2 (2015): 260–68. https://doi.org/10.5281/zenodo.16251.

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<strong>Sokolov Oleksandr, Meszyński Sebastian, Dreszer-Drogorób Joanna, Bałaj Bibianna, Duch Włodzisław, Grzelak Sławomir, Komendziński Tomasz,  Mikołajewski Dariusz. </strong><strong>Intelligent emotions stabilization system using standarized images, breath sensor and biofeedback – preliminary findings - short communication. Journal of Education, Health and Sport. 2015;5(2):260-268. ISSN 2391-8306. DOI: 10.5281/zenodo.16251</strong> <strong>http://ojs.ukw.edu.pl/index.php/johs/article/view/2015%3B5%282%29%3A260-268</strong> <strong>https://pbn.nauka.gov.

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Cobos-Torres, Juan-Carlos, Mohamed Abderrahim, and José Martínez-Orgado. "Non-Contact, Simple Neonatal Monitoring by Photoplethysmography." Sensors 18, no. 12 (2018): 4362. http://dx.doi.org/10.3390/s18124362.

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This paper presents non-contact vital sign monitoring in neonates, based on image processing, where a standard color camera captures the plethysmographic signal and the heart and breathing rates are processed and estimated online. It is important that the measurements are taken in a non-invasive manner, which is imperceptible to the patient. Currently, many methods have been proposed for non-contact measurement. However, to the best of the authors’ knowledge, it has not been possible to identify methods with low computational costs and a high tolerance to artifacts. With the aim of improving c

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McNally, Kevin, Richard Cotton, John Cocker, et al. "Reconstruction of Exposure tom-Xylene from Human Biomonitoring Data Using PBPK Modelling, Bayesian Inference, and Markov Chain Monte Carlo Simulation." Journal of Toxicology 2012 (2012): 1–18. http://dx.doi.org/10.1155/2012/760281.

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There are numerous biomonitoring programs, both recent and ongoing, to evaluate environmental exposure of humans to chemicals. Due to the lack of exposure and kinetic data, the correlation of biomarker levels with exposure concentrations leads to difficulty in utilizing biomonitoring data for biological guidance values. Exposure reconstruction or reverse dosimetry is the retrospective interpretation of external exposure consistent with biomonitoring data. We investigated the integration of physiologically based pharmacokinetic modelling, global sensitivity analysis, Bayesian inference, and Mar

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Oestreich, Marc-Alexander, Florian Wyler, Bettina S. Frauchiger, Philipp Latzin, and Kathryn A. Ramsey. "Breath detection algorithms affect multiple-breath washout outcomes in pre-school and school age children." PLOS ONE 17, no. 10 (2022): e0275866. http://dx.doi.org/10.1371/journal.pone.0275866.

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Background Accurate breath detection is essential for the computation of outcomes in the multiple-breath washout (MBW) technique. This is particularly important in young children, where irregular breathing is common, and the designation of inspirations and expirations can be challenging. Aim To investigate differences between a commercial and a novel breath-detection algorithm and to characterize effects on MBW outcomes in children. Methods We replicated the signal processing and algorithms used in Spiroware software (v3.3.1, Eco Medics AG). We developed a novel breath detection algorithm (cus

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Jauregui-Vazquez, Daniel, Paulina Lozano-Sotomayor, Jorge Emmanuel Mejía-Benavides, and Erik Díaz-Cervantes. "Binding Analysis of Functionalized Multimode Optical-Fiber Sandwich-like Structure with Organic Polymer and Its Sensing Application for Humidity and Breath Monitoring." Biosensors 11, no. 9 (2021): 324. http://dx.doi.org/10.3390/bios11090324.

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In recent years, the chemical modification of optical fibers (OFs) has facilitated the manufacture of sensors because OFs can identify several analytes present in aqueous solutions or gas phases. Nevertheless, it is imperative better to understand the chemical interactions in this molecular system to generate low-cost and efficient sensors. This work presents a theoretical and experimental study of organic polymeric functionalized OF structures and proposes a cost-effective alternative to monitor breathing and humidity. The device is based on silicon optical fibers functionalized with (3-Amino

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Baysal, Ömür, Naeem Abdul Ghafoor, Ragıp Soner Silme, Alexander N. Ignatov, and Volha Kniazeva. "Molecular dynamics analysis of N-acetyl-D-glucosamine against specific SARS-CoV-2’s pathogenicity factors." PLOS ONE 16, no. 5 (2021): e0252571. http://dx.doi.org/10.1371/journal.pone.0252571.

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The causative agent of the pandemic identified as SARS-CoV-2 leads to a severe respiratory illness similar to SARS and MERS with fever, cough, and shortness of breath symptoms and severe cases that can often be fatal. In our study, we report our findings based on molecular docking analysis which could be the new effective way for controlling the SARS-CoV-2 virus and additionally, another manipulative possibilities involving the mimicking of immune system as occurred during the bacterial cell recognition system. For this purpose, we performed molecular docking using computational biology techni

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Chen, Shaojun, Jiahao Lv, Yiyuan Luo, Hongjiang Chen, Shuwei Ma, and Lihua Zhang. "Bioinformatic Analysis of Key Regulatory Genes in Adult Asthma and Prediction of Potential Drug Candidates." Molecules 28, no. 10 (2023): 4100. http://dx.doi.org/10.3390/molecules28104100.

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Asthma is a common chronic disease that is characterized by respiratory symptoms including cough, wheeze, shortness of breath, and chest tightness. The underlying mechanisms of this disease are not fully elucidated, so more research is needed to identify better therapeutic compounds and biomarkers to improve disease outcomes. In this present study, we used bioinformatics to analyze the gene expression of adult asthma in publicly available microarray datasets to identify putative therapeutic molecules for this disease. We first compared gene expression in healthy volunteers and adult asthma pat

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Liu, Tianci, and Xiangjun Li. "Breast Cancer Prediction based on Support Vector Machine." International Journal of Biology and Life Sciences 3, no. 2 (2023): 4–6. http://dx.doi.org/10.54097/ijbls.v3i2.10061.

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Breast cancer is the most common malignant tumor among women in the world, and its mortality rate ranks second. In this paper, the breath cancer Wisconsin (diagnostic) data set is used for prediction. First, exploratory data analysis was carried out, and 10 indicators related to breast cancer were selected as independent variables. Then, support vector machine (SVM) and logistic regression model were used as classifiers, and 75% of data sets were divided into training sets to build models. Finally, 25% of test sets were used as input models for prediction, and accuracy and recall were used as

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Chakravarty, Aranyak, Mahesh V. Panchagnula, Alladi Mohan, and Neelesh A. Patankar. "Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model." PLOS Computational Biology 18, no. 6 (2022): e1010143. http://dx.doi.org/10.1371/journal.pcbi.1010143.

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Pulmonary drug delivery systems rely on inhalation of drug-laden aerosols produced from aerosol generators such as inhalers, nebulizers etc. On deposition, the drug molecules diffuse in the mucus layer and are also subjected to mucociliary advection which transports the drugs away from the initial deposition site. The availability of the drug at a particular region of the lung is, thus, determined by a balance between these two phenomena. A mathematical analysis of drug deposition and retention in the lungs is developed through a coupled mathematical model of aerosol transport in air as well a

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Roshani, Saeed, Mario Coccia, and Melika Mosleh. "Sensor Technology for Opening New Pathways in Diagnosis and Therapeutics of Breast, Lung, Colorectal and Prostate Cancer." HighTech and Innovation Journal 3, no. 3 (2022): 356–75. http://dx.doi.org/10.28991/hij-2022-03-03-010.

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This study analyzes the interaction between sensor research and technology and different types of cancer (breast, lung, colorectal, and prostate) with the goal of detecting new directions for improving diagnosis and therapeutics in medicine. This study develops an approach to computational scientometrics based on data from the Web of Science from the 1991 to 2021 period. The results of this analysis show the vital role of biosensors and electrochemical biosensors applied in breast cancer, lung cancer, and prostate cancer research. Instead, scientific research of optical sensors is developing m

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Yanagita, Yoshiki, Kaishan Feng, Yuko Miyamura, et al. "CFD Analysis of Transport Process of Virus Concentration in an Airway with Consideration of Adhesion." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 126, no. 1 (2025): 181–90. https://doi.org/10.37934/arfmts.126.1.181190.

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An airway is likely to be contacted with virus. When the virus is adhered to the airway by breath, some humans maybe get infected. Therefore, the infection risk is important to predict by evaluating quantitatively the adhesion area and the amount of virus. The airway consists of the nasal cavity (such as the maxillary sinus, ethmoid sinus, frontal sinus, and sphenoidal sinus), pharynx, larynx, trachea, bronchi, and lungs. In this study, CFD analysis of transport process of virus concentration in the airway was conducted by considering adhesion and breathing waveform, and the infection risk at

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Rehm, Gregory, Jinyoung Han, Brooks Kuhn, et al. "Creation of a Robust and Generalizable Machine Learning Classifier for Patient Ventilator Asynchrony." Methods of Information in Medicine 57, no. 04 (2018): 208–19. http://dx.doi.org/10.3414/me17-02-0012.

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Summary Background: As healthcare increasingly digitizes, streaming waveform data is being made available from an variety of sources, but there still remains a paucity of performant clinical decision support systems. For example, in the intensive care unit (ICU) existing automated alarm systems typically rely on simple thresholding that result in frequent false positives. Recurrent false positive alerts create distrust of alarm mechanisms that can be directly detrimental to patient health. To improve patient care in the ICU, we need alert systems that are both pervasive, and accurate so as to

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Kaur, Navneet, Priyanka Sharma, Adrija Aditya, and Asifkhan Shanavas. "Taking leads out of nature, can nano deliver us from COVID-like pandemics?" Biomedical Physics & Engineering Express 8, no. 2 (2022): 022002. http://dx.doi.org/10.1088/2057-1976/ac4ec8.

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Abstract The COVID-19 crisis has alerted the research community to re-purpose scientific tools that can effectively manage emergency pandemic situations. Researchers were never so desperate to discover a ‘magic bullet’ that has significant clinical benefits with minimal or no side effects. At the beginning of the pandemic, due to restricted access to traditional laboratory techniques, many research groups delved into computational screening of thousands of lead molecules that could inhibit SARS-CoV-2 at one or more stages of its infectious cycle. Several in silico studies on natural derivative

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Schuermans, Valérie N. E., Ziyu Li, Audrey C. H. M. Jongen, et al. "Pilot Study: Detection of Gastric Cancer From Exhaled Air Analyzed With an Electronic Nose in Chinese Patients." Surgical Innovation 25, no. 5 (2018): 429–34. http://dx.doi.org/10.1177/1553350618781267.

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The aim of this pilot study is to investigate the ability of an electronic nose (e-nose) to distinguish malignant gastric histology from healthy controls in exhaled breath. In a period of 3 weeks, all preoperative gastric carcinoma (GC) patients (n = 16) in the Beijing Oncology Hospital were asked to participate in the study. The control group (n = 28) consisted of family members screened by endoscopy and healthy volunteers. The e-nose consists of 3 sensors with which volatile organic compounds in the exhaled air react. Real-time analysis takes place within the e-nose, and binary data are expo

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Carroll, Michael S., and Jan-Marino Ramirez. "Cycle-by-cycle assembly of respiratory network activity is dynamic and stochastic." Journal of Neurophysiology 109, no. 2 (2013): 296–305. http://dx.doi.org/10.1152/jn.00830.2011.

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Rhythmically active networks are typically composed of neurons that can be classified as silent, tonic spiking, or rhythmic bursting based on their intrinsic activity patterns. Within these networks, neurons are thought to discharge in distinct phase relationships with their overall network output, and it has been hypothesized that bursting pacemaker neurons may lead and potentially trigger cycle onsets. We used multielectrode recording from 72 experiments to test these ideas in rhythmically active slices containing the pre-Bötzinger complex, a region critical for breathing. Following synaptic

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Bahmani, Amir, Kyle Ferriter, Vandhana Krishnan, et al. "Swarm: A federated cloud framework for large-scale variant analysis." PLOS Computational Biology 17, no. 5 (2021): e1008977. http://dx.doi.org/10.1371/journal.pcbi.1008977.

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Genomic data analysis across multiple cloud platforms is an ongoing challenge, especially when large amounts of data are involved. Here, we present Swarm, a framework for federated computation that promotes minimal data motion and facilitates crosstalk between genomic datasets stored on various cloud platforms. We demonstrate its utility via common inquiries of genomic variants across BigQuery in the Google Cloud Platform (GCP), Athena in the Amazon Web Services (AWS), Apache Presto and MySQL. Compared to single-cloud platforms, the Swarm framework significantly reduced computational costs, ru

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Lustig, Andrew, Gavin Brookes, and Daniel Hunt. "Linguistic Analysis of Online Communication About a Novel Persecutory Belief System (Gangstalking): Mixed Methods Study." Journal of Medical Internet Research 23, no. 3 (2021): e25722. http://dx.doi.org/10.2196/25722.

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Background Gangstalking is a novel persecutory belief system whereby those affected believe they are being followed, stalked, and harassed by a large number of people, often numbering in the thousands. The harassment is experienced as an accretion of innumerable individually benign acts such as people clearing their throat, muttering under their breath, or giving dirty looks as they pass on the street. Individuals affected by this belief system congregate in online fora to seek support, share experiences, and interact with other like-minded individuals. Such people identify themselves as targe

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Kim, Jongwon, and Ramana M. Pidaparti. "Computational Analysis of Lung and Isolated Airway Bifurcations under Mechanical Ventilation and Normal Breathing." Fluids 6, no. 11 (2021): 388. http://dx.doi.org/10.3390/fluids6110388.

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Mechanical ventilation is required for many patients who cannot breathe normally as a result of lung disease and other factors that result in reduced lung function. In this study, we investigated the effects of mechanical ventilation and normal breathing on whole lung geometry as well as isolated bifurcations through computational fluid dynamic (CFD) simulations. Results of flow characteristics (airflow velocity, wall pressure, and wall shear stress) obtained from the CFD simulations are presented. Similar flow patterns and pressure drops were obtained between the whole lung geometry and isola

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Choi, Seon-Jin. "Investigation of Fundamental Gas Sensing Mechanism of Conductive Metal-Organic Frameworks By in-Situ/Operando Spectroscopy Analysis." ECS Meeting Abstracts MA2024-02, no. 65 (2024): 4395. https://doi.org/10.1149/ma2024-02654395mtgabs.

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Detection of various gases is important for environmental monitoring and healthcare applications. For example, volatile organic compounds (VOCs) such as toluene and xylene are harmful to human health causing headache, dizziness, and nausea, which is known as the sick-building syndrome. In addition, hydrogen sulfide (H2S) is a biomarker gas for the diagnosis of halitosis by exhaled breath analysis. The development of gas-sensing materials with high surface area and large porosity is important for the accurate detection of target molecules. Among the various types of materials, conductive metal-

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Davis, Timothy A., Sivasankaran Rajamanickam, and Wissam M. Sid-Lakhdar. "A survey of direct methods for sparse linear systems." Acta Numerica 25 (May 1, 2016): 383–566. http://dx.doi.org/10.1017/s0962492916000076.

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Wilkinson defined a sparse matrix as one with enough zeros that it pays to take advantage of them.1This informal yet practical definition captures the essence of the goal of direct methods for solving sparse matrix problems. They exploit the sparsity of a matrix to solve problems economically: much faster and using far less memory than if all the entries of a matrix were stored and took part in explicit computations. These methods form the backbone of a wide range of problems in computational science. A glimpse of the breadth of applications relying on sparse solvers can be seen in the origins

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Hunt, Sherry L., Darrel M. Temple, Mitchell L. Neilsen, Abdelfatah Ali, and Ronald D. Tejral. "WinDAM C: Analysis Tool for Predicting Breach Erosion Processes of Embankment Dams Due to Overtopping or Internal Erosion." Applied Engineering in Agriculture 37, no. 3 (2021): 523–34. http://dx.doi.org/10.13031/aea.14334.

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HighlightsThe computational models comprising the current version of WinDAM, called WinDAM C, are summarized.WinDAM C estimates the response of an earthen embankment subjected to overtopping or internal erosion.WinDAM C is a model that quantifies erosion/breach processes observed in physical embankment failure tests.Understanding the current technology and limitations provides a basis for further model development.Abstract. Internal erosion and overtopping erosion of earthen embankments are the leading causes for earthen embankment failures. Challenges like reservoir sedimentation, structural

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Sewell, David K., Daniel R. Little, and Stephan Lewandowsky. "Bayesian computation and mechanism: Theoretical pluralism drives scientific emergence." Behavioral and Brain Sciences 34, no. 4 (2011): 212–13. http://dx.doi.org/10.1017/s0140525x11000392.

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AbstractThe breadth-first search adopted by Bayesian researchers to map out the conceptual space and identify what the framework can do is beneficial for science and reflective of its collaborative and incremental nature. Theoretical pluralism among researchers facilitates refinement of models within various levels of analysis, which ultimately enables effective cross-talk between different levels of analysis.

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Mohamad, Noridah, Muhammad Tahir Lakhiar, Mohamad Syafiq Mansor, et al. "Computational Analysis on Flexural Behavior of Precast Aerated Concrete Panel Incorporating Polypropylene Fiber." International Journal of Engineering & Technology 7, no. 3.4 (2018): 209. http://dx.doi.org/10.14419/ijet.v7i3.4.16776.

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Precast system has great advantages in terms of its speed of construction, strength and durability. In this research, Precast Lightweight Aerated Concrete Panel, PACP, incorporating polypropylene fibers were utilized and tested to analyze its structural behavior under flexural load. Finite element analysis (FEA) using LUSAS software was utilized to simulate the PACP models under flexure load adopting nonlinear and transient analysis. The dimension of PACP panel was 200mm thickness, 500mm breadth, 1400 mm length. The FEA results were com-pared to theoretical results in terms of the panel’s ulti

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Marx, Pieter, and Henri Marais. "A Technique for Monitoring Mechanically Ventilated Patient Lung Conditions." Diagnostics 14, no. 23 (2024): 2616. http://dx.doi.org/10.3390/diagnostics14232616.

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Background: Mechanical ventilation is a critical but resource-intensive treatment. Automated tools are common in screening diagnostics, whereas real-time, continuous trend analysis in mechanical ventilation remains rare. Current techniques for monitoring lung conditions are often invasive, lack accuracy, and fail to isolate respiratory resistance—making them impractical for continuous monitoring and diagnosis. To address this challenge, we propose an automated, non-invasive condition monitoring method to support pulmonologists. Methods: Our method leverages ventilation waveform time-series dat

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Oyekan, Basirat. "DEVELOPING PRIVACY-PRESERVING FEDERATED LEARNING MODELS FOR COLLABORATIVE HEALTH DATA ANALYSIS ACROSS MULTIPLE INSTITUTIONS WITHOUT COMPROMISING DATA SECURITY." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 3, no. 3 (2024): 139–64. http://dx.doi.org/10.60087/jklst.vol3.n3.p139-164.

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Federated learning is an emerging distributed machine learning technique that enables collaborative training of models among devices and servers without exchanging private data. However, several privacy and security risks associated with federated learning need to be addressed for safe adoption. This review provides a comprehensive analysis of the key threats in federated learning and the mitigation strategies used to overcome these threats. Some of the major threats identified include model inversion, membership inference, data attribute inference and model extraction attacks. Model inversion

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Liu, Huiwen, Zhongxiang Wang, Dawei Zhang, and Liyun Xiang. "An Integrated Model for Dam Break Flood Including Reservoir Area, Breach Evolution, and Downstream Flood Propagation." Applied Sciences 14, no. 23 (2024): 10921. http://dx.doi.org/10.3390/app142310921.

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The reasonable and efficient prediction of dam failure events is of great significance to the emergency rescue operations and the reduction in dam failure losses. This work presents a model that is based on the physical mechanism. It is coupled with a multi-architecture (multi-CPU and GPU) open-source two-dimensional flood model, which is based on high-precision terrain and land use data. The aim is to enhance the accuracy of dam break flood process simulations. The model uses DEM data as a computational grid and updates it at each time step to reflect breach evolution. Simultaneously, the bre

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Ferrari, Alessia, Susanna Dazzi, Renato Vacondio, and Paolo Mignosa. "Enhancing the resilience to flooding induced by levee breaches in lowland areas: a methodology based on numerical modelling." Natural Hazards and Earth System Sciences 20, no. 1 (2020): 59–72. http://dx.doi.org/10.5194/nhess-20-59-2020.

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Abstract. With the aim of improving resilience to flooding and increasing preparedness to face levee-breach-induced inundations, this paper presents a methodology for creating a wide database of numerically simulated flooding scenarios due to embankment failures, applicable to any lowland area protected by river levees. The analysis of the detailed spatial and temporal flood data obtained from these hypothetical scenarios is expected to contribute both to the development of civil protection planning and to immediate actions during a possible future flood event (comparable to one of the availab

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Ali, Yara Maha Dolla. "Privacy-Preserving data analysis." Advances in Engineering Innovation 7, no. 1 (2024): 32–36. http://dx.doi.org/10.54254/2977-3903/7/2024029.

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With the ever-increasing volume of data being generated and shared across various platforms, the challenge of maintaining privacy while extracting value from this data has become paramount. This paper delves into the realm of Privacy-Preserving Data Analysis (PPDA), examining its current landscape and the pivotal techniques shaping it. Using datasets from diverse domains, we evaluated four leading PPDA techniquesDifferential Privacy, Homomorphic Encryption, Secure Multi-Party Computation (SMPC), and Data Obfuscationto discern their efficacy and trade-offs in terms of data utility and privacy b

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Tripathi, Manas, and Arunabha Mukhopadhyay. "Financial Loss due to a Data Privacy Breach: An Empirical Analysis." Journal of Organizational Computing and Electronic Commerce 30, no. 4 (2020): 381–400. http://dx.doi.org/10.1080/10919392.2020.1818521.

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David Shamoo Excel. "Privacy-preserving data analysis." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 597–609. http://dx.doi.org/10.30574/wjarr.2024.23.3.2724.

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With the ever-increasing volume of data being generated and shared across various platforms, the challenge of maintaining privacy while extracting value from this data has become paramount. This paper delves into the realm of Privacy-Preserving Data Analysis (PPDA), examining its current landscape and the pivotal techniques shaping it. Using datasets from diverse domains, we evaluated four leading PPDA techniques—Differential Privacy, Homomorphic Encryption, Secure Multi-Party Computation (SMPC), and Data Obfuscation—to discern their efficacy and trade-offs in terms of data utility and privacy

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David, Shamoo Excel. "Privacy-preserving data analysis." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 597–609. https://doi.org/10.5281/zenodo.14930698.

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With the ever-increasing volume of data being generated and shared across various platforms, the challenge of maintaining privacy while extracting value from this data has become paramount. This paper delves into the realm of Privacy-Preserving Data Analysis (PPDA), examining its current landscape and the pivotal techniques shaping it. Using datasets from diverse domains, we evaluated four leading PPDA techniques—Differential Privacy, Homomorphic Encryption, Secure Multi-Party Computation (SMPC), and Data Obfuscation—to discern their efficacy and trade-offs in terms of data utility

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Mazakov, T., Sh Jomartova, G. Ziyatbekova, A. Sametova, and A. Mazakova. "Intelligent Dam Breach Threat Monitoring System." Scientific Journal of Astana IT University 10 (June 30, 2022): 61–67. http://dx.doi.org/10.37943/yqte5603.

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The article is devoted to the development of a river flow modeling technique. The paper considers possible approaches to modeling the flow of fluids, as well as an analysis of existing solution methods and the formulation of research problems. The task is analyzed and the main problems that may arise in the course of its solution are identified. A general description of the problem and the formulation of research objectives are given. The advantages and disadvantages of the described methods are highlighted. A comparative analysis of known methods for complex analysis, forecasting the conseque

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M. Ali, Chreesk Sabah, and Ibrahim Mahmood Ibrahim. "A Review of Graph Traversal Algorithms: Techniques and Applications in Network Analysis." Asian Journal of Research in Computer Science 18, no. 3 (2025): 61–72. https://doi.org/10.9734/ajrcos/2025/v18i3578.

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This review identifies graph traversal methods as fundamental steps in network analysis that facilitate easy examination of relations within the network. In this review, we plan to discuss multiple graph traversal approaches like depth first search (DFS), breadth first search (BFS), their varieties and indicate how these techniques can be used in practice when analyzing networks. The following is a review methodology covering 10 articles for years 2019 – 2024. The study responds to the question of how to select algorithms for various types of networks with reference to their computational cost

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