Article
Engineering, Marine
Hans Ulrik Riisgard
Summary: The study confirmed the bioenergetic model predictions for the specific growth rate and prey consumption of Aurelia aurita. High prey concentrations resulted in excessive feeding and the production of pseudofeces, but did not affect the jellyfish's filtration rate.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Ecology
Shiyang Yu, Da Song, Meng Fan, Congbo Xie
Summary: A three-stage life history model of Aurelia aurita is used to study the factors influencing blooms and population dynamics. The study identifies the key factors affecting population sizes and provides control recommendations. The findings provide insights into the mechanisms of Aurelia aurita blooms and their connection to environmental factors.
ECOLOGICAL MODELLING
(2023)
Article
Environmental Sciences
Haiyan Zhang, Guangyue Zhang, Yifan Lan, Jingen Xiao, Yuheng Wang, Guisheng Song, Hao Wei
Summary: Jellyfish blooms have become a worldwide marine environmental issue, with Aurelia aurita being one of the dominant species in the Bohai and Yellow Seas of China. A complex population-dynamic model was developed to study the population dynamics of A. aurita, showing that temperature is a key factor controlling growth and biomass of the jellyfish in the BYSs.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Environmental Sciences
Vanesa Romero-Kutzner, Javier Tari, Alicia Herrera, Ico Martinez, Daniel Bondyale-Juez, May Gomez
Summary: This study investigates the ingestion of microplastics by a bloom-forming jellyfish species and its underlying factors. The results show that the presence of prey is crucial for microplastic ingestion, and the duration of their presence in the jellyfish's digestive system increases with higher concentrations of microplastics.
MARINE POLLUTION BULLETIN
(2022)
Article
Environmental Sciences
Borja Mercado, Nuria Valero, Luis Roca-Perez, Elena Bernabeu-Berni, Oscar Andreu-Sanchez
Summary: This study aimed to evaluate the toxicity of heavy metals on organisms at different trophic levels. The results showed varying toxicities of different heavy metals on different organisms. Additionally, the experimental investigation confirmed the suitability of Aurelia aurita as a model organism for ecotoxicity testing.
Article
Microbiology
Nancy Weiland-Braeuer, Vasiliki Koutsouveli, Daniela Langfeldt, Ruth A. Schmitz
Summary: This study provides the first insights into the response of Aurelia aurita to manipulation of its microbiome, which is crucial for understanding its basal immune system and additional defense strategies.
FRONTIERS IN MICROBIOLOGY
(2023)
Article
Genetics & Heredity
Wangxiao Xia, Hui Jiang, Huifang Guo, Yaowen Liu, Xingchun Gou
Summary: In this study, we systematically analyzed the gene co-expression network of the moon jellyfish (Aurelia aurita) during its life cycle, and identified 35 relevant modules and hub genes for each stage. These hub genes are believed to play important roles in the developmental processes of the jellyfish, enhancing our understanding of its life cycle.
Article
Marine & Freshwater Biology
Alexandra Loveridge, Cathy H. H. Lucas
Summary: Temperature is a significant driver affecting marine ectotherms, especially in the context of climate change altering seasonal patterns in temperate regions. Understanding their ability to adapt to rapid changes is crucial for predicting the impact of climate variability on these organisms. Transgenerational effects, which allow for the transmission of traits between generations, may potentially moderate stressors. Our study on asexual Aurelia aurita polyps revealed that temperature influenced polyp reproduction in the first two generations, but parental and grandparental temperature impacted offspring production in the third generation. The effects were most pronounced in cooling scenarios, where polyps experienced a rapid drop in reproductive output compared to those who remained at the same temperature as their parents. These findings underscore the vulnerability of marine ectotherms to climate change and suggest that transgenerational effects may require more extreme temperatures or additional generations to exert a measurable impact on populations.
Article
Virology
Melissa Stante, Nancy Weiland-Braeuer, Urska Repnik, Almut Werner, Marc Bramkamp, Cynthia M. M. Chibani, Ruth A. A. Schmitz
Summary: This study isolated and characterized four phages targeting bacteria associated with Aurelia aurita jellyfish in the Baltic Sea water column, demonstrating their broad host range and high infectivity.
Article
Environmental Sciences
Ju-Hee Kim, Se-Jun Jin, Seung-Hoon Yoo
Summary: This article examines the willingness to pay for the eradication of the harmful marine organism Aurelia aurita in South Korea. The study found that the average household's willingness to pay was estimated at KRW 3,911 per year, and the national value amounted to KRW 80.46 billion per annum. Factors such as income and education level significantly influenced the intention to pay for this eradication project.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Multidisciplinary Sciences
Yulia Kraus, Boris Osadchenko, Igor Kosevich
Summary: This study provides a detailed description of cellular mechanisms underlying the early development of Aurelia aurita, comparing them with those of other cnidarian species. The findings contribute to understanding the evolution of morphogenesis within the Cnidaria and Metazoa in general.
Article
Marine & Freshwater Biology
Alexandra Loveridge, Cathy H. Lucas, Kylie A. Pitt
Summary: Blooms of scyphozoan jellyfish exhibit high interannual variability in terms of timing and size, with the study suggesting that the conditions experienced by polyps in winter may play a role in this variability. The experiment showed that Aurelia aurita jellyfish require a minimum period of cooler temperatures to strobilate, contradicting claims of increased prevalence in warming oceans.
Article
Environmental Sciences
Daniel R. Bondyale-Juez, Vanesa Romero-Kutzner, Jennifer E. Purcell, Ico Martinez, Theodore T. Packard, May Gomez
Summary: This study investigates the composition and metabolism of Physalia physalis and Velella velella compared to pulsating jellyfish, Aurelia aurita and Pelagia noctiluca. The results indicate that wind-driven propulsion has lower respiration compared to pulsation-driven propulsion in these organisms, and the hydrozoans show a different biochemical composition compared to other gelatinous zooplankton.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Microbiology
Nadin Jensen, Nancy Weiland-Braeuer, Shindhuja Joel, Cynthia Maria Chibani, Ruth Anne Schmitz
Summary: The native microbiome of Cnidarian Aurelia aurita is crucial for asexual reproduction by strobilation. The absence of the native microbiome results in a compromised strobilation process, which can be restored by recolonization with the native microbiota.
MICROBIOLOGY SPECTRUM
(2023)
Article
Mechanics
Reynolds Addo-Akoto, Jong-Seob Han, Jae-Hung Han
Summary: This study investigates the aerodynamic characteristics of flexible flapping wings in hover, considering the combined effects of aspect ratio, slack, and pitch angles. The results show that the flexibility of the wing can be indirectly altered by adjusting slack. An optimum aspect ratio range is observed depending on the flexibility, and the intensity of the leading-edge vortex decreases as slack increases. The shed trailing-edge vortices are found to be the key feature of twistable flexible wings, and negative wing twist plays a significant role in sustaining lift. The study also reveals the relationship between aspect ratio, wing flexibility, and the effective downwash area for lift enhancement.
Article
Computer Science, Interdisciplinary Applications
Sean M. Rothenberger, Jiacheng Zhang, Melissa C. Brindise, Susanne Schnell, Michael Markl, Pavlos P. Vlachos, Vitaliy L. Rayz
Summary: We present a model to estimate the bias error of 4D flow MRI velocity measurements, accounting for intra-voxel velocity distribution and partial volume effects. The model accurately estimates the bias error in voxels not affected by partial volume effects, and can help plan 4D flow MRI scans.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Engineering, Multidisciplinary
Jiacheng Zhang, Sayantan Bhattacharya, Pavlos P. Vlachos
Summary: This work presents a method to estimate the uncertainty of pressure fields reconstructed from PIV/PTV measurements. The method propagates the uncertainty of the velocity vectors through the pressure reconstruction. The method has been validated through tests on synthetic velocity fields and experimental flow fields, showing high accuracy in capturing the effects of velocity noise, autocorrelation, and pressure gradient integration methods on pressure errors.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Biomedical
Melissa C. Brindise, Brett A. Meyers, Shelby Kutty, Pavlos P. Vlachos
Summary: This article presents a user-initialized, automated left ventricle segmentation method for echocardiograms, named ProID. The method achieved accurate segmentation results with low computational cost across different systems. Clinical analysis on a cohort of 66 pediatric patients demonstrated the accuracy and stability of ProID.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Adib Ahmadzadegan, Sayantan Bhattacharya, Arezoo M. Ardekani, Pavlos P. Vlachos
Summary: This paper presents a new approach for estimating the uncertainty in ensemble particle image velocimetry (PIV) measurements. The proposed method, called the moment of probability of displacement (MPD), calculates the uncertainty directly from the probability density function of displacements by finding the second moment. The performance of MPD is evaluated using synthetic and experimental images, and it is shown to have good sensitivity to various PIV error sources and accurately estimate the root mean square (RMS) of the velocity measurement error.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Mechanics
Adib Ahmadzadegan, Jiacheng Zhang, Arezoo M. Ardekani, Pavlos P. Vlachos
Summary: This paper introduces a method to measure the concentration-dependent diffusion coefficient using a sequence of concentration images. The method utilizes spatial and temporal information and numerically solves Fick's second law to measure the diffusion coefficient. The method makes no assumptions and outperforms existing methods in estimating spatiotemporal changes and concentration-dependent diffusion.
Article
Engineering, Biomedical
Jiacheng Zhang, Sean M. Rothenberger, Melissa C. Brindise, Michael Markl, Vitaliy L. Rayz, Pavlos P. Vlachos
Summary: This study introduces a novel method for estimating wall shear stress (WSS) using 4D flow MRI, which improves the accuracy of WSS estimation by correcting velocity gradient estimation. The method was tested on synthetic and in vivo data, and compared to the state-of-the-art method. The proposed method showed significant improvement in WSS accuracy and its potential for predicting cardiovascular diseases.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Melissa C. Brindise, Kevin Buno, Luis Solorio, Pavlos P. Vlachos
Summary: We propose a novel automated method for identifying tissue layers in histology images. The method incorporates coarse boundary identification and refinement steps to accurately segment different layers. Experimental results show that our method is robust across different histology stains.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Brian H. Jun, Adib Ahmadzadegan, Arezoo M. Ardekani, Luis Solorio, Pavlos P. Vlachos
Summary: This study presents a feature-based cell tracking algorithm that can automatically detect and track cells in time-lapse images. By using advanced image processing techniques and adaptive thresholding, the algorithm can handle cell feature changes and achieves high detection and tracking accuracy.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Mario de Lucio, Yu Leng, Atharva Hans, Ilias Bilionis, Melissa Brindise, Arezoo M. Ardekani, Pavlos P. Vlachos, Hector Gomez
Summary: Subcutaneous injection of therapeutic monoclonal antibodies (mAbs) is a rapidly growing field in the pharmaceutical industry. This study presents a large-deformation poroelastic model to understand high-dose, high-speed subcutaneous injection. The anisotropy of subcutaneous tissue and the multi-layer structure of the skin tissue are considered. The impact of handheld autoinjectors on injection dynamics for different patient forces is analyzed. The simulations highlight the importance of the large deformation approach in modeling large injection volumes and provide insights into the mechanics and transport processes in subcutaneous injections of mAbs.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Patrick A. Giolando, Kelsey Hopkins, Barrett F. Davis, Nicole Vike, Adib Ahmadzadegan, Arezoo M. Ardekani, Pavlos P. Vlachos, Joseph V. Rispoli, Luis Solorio, Tamara L. Kinzer-Ursem
Summary: Implantable, bioresorbable drug delivery systems provide a patient-tailored drug dosage with increased patient compliance. Mechanistic mathematical modeling accelerates the design of release systems by predicting physical anomalies and short- and long-term drug release profiles. This study investigates the impact of various parameters on drug release and offers new insight into the design process for tailored release systems.
ADVANCED MATERIALS
(2023)
Article
Pharmacology & Pharmacy
Xiaoxu Zhong, Jean-Christophe Veilleux, Galen Huaiqiu Shi, David S. Collins, Pavlos Vlachos, Arezoo M. Ardekani
Summary: In recent years, significant progress has been made in the studies of spring-driven autoinjectors, leading to an improved understanding of its interactions with tissue and therapeutic proteins. Simulation tools have enhanced the prediction of performance, while this paper addresses critical hydrodynamic considerations and presents a framework for optimizing design. This work is valuable to the pharmaceutic industry as it provides insights into device development and improving patient outcomes.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2023)
Article
Mechanics
Adib Ahmadzadegan, Harsa Mitra, Pavlos P. Vlachos, Arezoo M. Ardekani
Summary: We propose a novel method called particle image rheometry (PIR) to measure the rheological properties of fluids using the Brownian motion of suspended particles. PIR estimates the particle ensemble mean square displacement (MSD) from the temporal evolution of the displacement probability density function (PDF). Our evaluations show that PIR achieves a lower error than existing methods, with less than 1% error in passive microrheology measurements.
JOURNAL OF RHEOLOGY
(2023)
Article
Biology
Mary K. Salcedo, Brian H. Jun, John J. Socha, Naomi E. Pierce, Pavlos P. Vlachos, Stacey A. Combes
Summary: Research shows that the circulation system, respiration system, and nervous system of insects extend into their wings, playing a critical role in supplying nutrients and maintaining wing function. High-speed fluorescent microscopy and particle tracking reveals dynamic flow patterns in every vein of grasshopper wings, with three different flow behaviors: pulsatile, aperiodic, and leaky. Study of the wing circulatory system provides valuable insights into the hemodynamics necessary for sustaining wing health and insect flight.
COMMUNICATIONS BIOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Sean M. Rothenberger, Neal M. Patel, Jiacheng Zhang, Susanne Schnell, Bruce A. Craig, Sameer A. Ansari, Michael Markl, Pavlos P. Vlachos, Vitaliy L. Rayz
Summary: We propose an automatic segmentation method for 4D flow MRI based on SDM velocity. The SDM velocity quantifies the net flow effects in each voxel, and vessel segmentation is performed using an F-test. We compare the SDM algorithm with PCD and CNN segmentation methods, and the results demonstrate its robustness and accuracy in identifying vessel surfaces.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Multidisciplinary Sciences
Jiacheng Zhang, Melissa C. Brindise, Sean M. Rothenberger, Michael Markl, Vitaliy L. Rayz, Pavlos P. Vlachos
Summary: This study evaluates and applies a multi-modality approach to improve blood flow measurements and hemodynamic analysis in cerebral aneurysms using 4D flow MRI. The method reconstructs the flow field and calculates the pressure using sparse representation, leading to enhanced accuracy of the measurements.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2022)