Article
Engineering, Marine
Raphael E. G. Mounet, Jiaxin Chen, Ulrik D. Nielsen, Astrid H. Brodtkorb, Ajit C. Pillai, Ian G. C. Ashton, Edward C. C. Steele
Summary: This article proposes integrating vessel-based observations into a wave-nowcasting framework to improve the reliability and availability of regional sea state information. The performance of different models for estimating wave parameters using ship motions is evaluated in a case study.
Article
Biochemical Research Methods
Constanze Ciavarella, Neil M. Ferguson
Summary: The spread of epidemics is closely related to human mobility patterns, and models using data such as mobile phone call detail records can help to model human movement. Studies have found that parameter estimates can be influenced by spatial resolution levels, and model parameters may vary across different countries and spatial scales.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Engineering, Civil
Stephen R. H. Worthington, Aidan E. Foley
Summary: The study investigates the impact of preferential flow in fracture networks on water level responses in aquifers and streams in a headwater catchment in a chalk aquifer in the UK. Results show that high celerities in fissure networks facilitate rapid transfer of groundwater to stormwater hydrographs in streams, with groundwater inputs providing the majority of quickflow in the stream. The study also reveals common dual-porosity behavior in carbonate aquifers in multiple countries.
JOURNAL OF HYDROLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Demijan Grgic, Vedran Podobnik, Arthur Carvalho
Summary: This paper proposes and analyzes a methodology for extracting underlying emotional dimensions from different types of textual data. The study confirms the existence of valence and arousal as core emotional dimensions, and suggests that dominance is connected to the variability of both valence and arousal. Additionally, evidence is found for an "unpredictability/novelty dimension" discussed in recent academic work. The key contribution of this research is the identification of a new orthogonal emotional dimension named "expectancy tension," which captures the intensity of expectations regarding the future. This work contributes to the social computing literature by presenting a novel methodology for deriving emotional spaces from multiple textual data using eigenvector analyses.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Geochemistry & Geophysics
Qian-Yu Liao, Pei Leng, Zhao-Liang Li, Chao Ren, Ya-Yong Sun, Mao-Fang Gao, Si-Bo Duan, Guo-Fei Shang
Summary: A new method for deriving all-sky relative humidity entirely based on MODIS data was proposed in this study, showing reasonable accuracy under different aridity conditions, with stable linear relationships over time.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Economics
Panagiotis Tsoleridis, Charisma F. Choudhury, Stephane Hess
Summary: Transport demand models are widely used in policy making and future demand forecasting. The Value of Travel Time (VTT), derived from these models, helps understand the trade-offs travelers make regarding travel time and cost. While revealed preference (RP) data was previously used, concerns about reporting errors shifted the focus to state-preference (SP) surveys. More recently, passively-collected RP data from smartphone GPS tracking have shown promise in overcoming limitations. The present study utilized such a dataset to estimate VTT values, which were found to be similar to official guidelines obtained from SP data. These findings support the use of passively-generated RP data sources.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Clinical Neurology
R. H. Reijntjes, W. Potters, F. Kerkhof, E. van Zwet, I. A. van Rossum, C. Verhamme, M. R. Tannemaat
Summary: This study demonstrated the reliability and accuracy of obtaining locally valid reference values from existing nerve conduction study data using a mixture model clustering method. Clustering based on sex and age variables can achieve reliable results, and the method has clinical applicability for the diagnosis of polyneuropathy.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Vasileios Tsoutsouras, Sam Willis, Phillip Stanley-Marbell
Summary: The study introduces a method called dimensional function synthesis for modeling the relationship between multiple signals in a physical system efficiently. It includes two phases: compile-time synthesis and calibration using sensor data. Results show that this method outperforms traditional regression and neural network models in inference accuracy and training latency.
COMMUNICATIONS OF THE ACM
(2021)
Article
Environmental Sciences
Panfeng Ji, Xiaolei Lv, Rui Wang
Summary: This study proposes a new processing method based on the strain model and the Kalman filter for obtaining high-precision three-dimensional surface deformation time series. The experimental results demonstrate that this method can generate high-precision and high-resolution deformation time series in the temporal and spatial domains.
Article
Chemistry, Physical
Qin Wu, Talin Avanesian, Xiaohui Qu, Hubertus Van Dam
Summary: PolyODENet is a program that uses machine learning methods to derive kinetic differential equations and predicts concentrations at arbitrary time points. It can apply physical constraints and chemical knowledge to regularize the solution space, revealing hidden parts of reaction mechanisms.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Environmental Studies
Pengxiang Zhao, He Haitao, Aoyong Li, Ali Mansourian
Summary: Vehicle availability data is emerging as a potential data source for micro-mobility research and applications, but systematic evaluations are lacking. A generally applicable data processing framework has been proposed and validated, showing the significant impact of data processing on derived micromobility patterns, calling for more attention to issues with emerging mobility data processing.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Computer Science, Information Systems
Neha Gupta, Kamali Gupta, Abdulrahman M. M. Qahtani, Deepali Gupta, Fahd S. S. Alharithi, Aman Singh, Nitin Goyal
Summary: The demand for digitization has led organizations to embrace cloud computing, posing challenges for cloud service providers in delivering quality service. This paper proposes a new live VM migration algorithm, focusing on reducing the size of data to be transferred during migration, resulting in reduced energy consumption.
Article
Immunology
Elena Merino Tejero, Danial Lashgari, Rodrigo Garcia-Valiente, Xuefeng Gao, Fabien Crauste, Philippe A. Robert, Michael Meyer-Hermann, Maria Rodriguez Martinez, S. Marieke van Ham, Jeroen E. J. Guikema, Huub Hoefsloot, Antoine H. C. van Kampen
Summary: Germinal centers play a crucial role in the adaptive immune system by generating memory B cells and plasma cells that produce high affinity antibodies for effective immune protection. Cell-fate decisions in germinal centers involve various factors, including antigen, B-cell receptor affinity, T follicular helper cells, and transcription factors. Molecular modulations of the CD40 signaling pathway can influence the production of germinal center output cells.
FRONTIERS IN IMMUNOLOGY
(2021)
Article
Cell Biology
Subhashree Shivani, Yu-Hsiang Hsu, Cheng-Je Lee, Chi-Sheng Cheong, Tien-Tung Chung, An-Bang Wang
Summary: This study explores the sensing and modulation of cell migration velocity and direction in response to spatial roughness. Three characteristic cell migration behaviors were identified: higher migration velocity on substrates with higher roughness, preference for migration from regions of higher roughness to lower roughness, and unchanged migration velocity on a lower roughness range on a graded substrate.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Energy & Fuels
Abdullah Saleem, Iftekhar A. Karimi, Shamsuzzaman Farooq
Summary: Estimating emissions of nitrogen oxides (NOx) from fuel combustion is difficult due to the complex nature of the factors involved. This study uses data from literature to develop models for predicting NOx emissions for various fuel blends. The study found that hydrogen produces the highest NOx emissions, while kerosene produces the least.
Article
Medicine, General & Internal
Johannes Forster, Andrea Streng, Paul Rudolph, Viktoria Ruecker, Julia Wallstabe, Sandra Timme, Franziska Pietsch, Katrin Hartmann, Maike Krauthausen, Julia Schmidt, Timo Ludwig, David Gierszewski, Thomas Jans, Geraldine Engels, Benedikt Weissbrich, Marcel Romanos, Lars Doelken, Peter Heuschmann, Christoph Haertel, Ildiko Gagyor, Marc Thilo Figge, Oliver Kurzai, Johannes Liese
Summary: The study conducted surveillance for SARS- CoV-2 in 9 German day care centers was feasible and well accepted. Mathematical modeling estimated that testing can minimize the spread of SARS-CoV-2 in day care centers.
Article
Engineering, Biomedical
T. N. M. Hoang, Z. Cseresnyes, S. Hartung, M. Blickensdorf, C. Saffer, K. Rennert, A. S. Mosig, M. von Lilienfeld-Toal, M. T. Figge
Summary: Invasive pulmonary aspergillosis is a serious infection with a high mortality rate. The invasive aspergillosis-on-chip (IAC) model allows the study of fungal growth and invasion in vitro. The model uses an algorithm-based analysis pipeline to visualize and quantify the morphology of the fungus. Macrophages in the IAC model inhibit fungal growth partially and contribute to the release of proinflammatory cytokines and chemokines. The fungistatic drug caspofungin limits fungal growth and causes morphological changes in the hyphal tree.
Article
Infectious Diseases
Martin J. Kuehn, Daniel Abele, Sebastian Binder, Kathrin Rack, Margrit Klitz, Jan Kleinert, Jonas Gilg, Luca Spataro, Wadim Koslow, Martin Siggel, Michael Meyer-Hermann, Achim Basermann
Summary: The study found through numerical simulations that strict lockdown measures and commuter testing at least twice a week can effectively control virus spread in certain regions in Germany, while less strict interventions would require significantly increased testing rates to prevent overall infection dynamics from escalating.
BMC INFECTIOUS DISEASES
(2022)
Article
Acoustics
Bianca Hoffmann, Ruman Gerst, Zoltan Cseresnyes, WanLing Foo, Oliver Sommerfeld, Adrian T. Press, Michael Bauer, Marc Thilo Figge
Summary: This article introduces a fully automated open-source MSOT cluster analysis toolkit that provides a quantitative method for analyzing image data and an objective and automated approach to extract the biodistribution of biomarkers.
Article
Economics
Florian Dorn, Sahamoddin Khailaie, Marc Stoeckli, Sebastian C. Binder, Tanmay Mitra, Berit Lange, Stefan Lautenbacher, Andreas Peichl, Patrizio Vanella, Timo Wollmershaeuser, Clemens Fuest, Michael Meyer-Hermann
Summary: This study presents a novel approach that combines epidemiological and economic models for data-based simulations during a pandemic. The findings suggest a non-linear U-shape relationship between health protection and economic interests, indicating that it is beneficial to balance non-pharmaceutical interventions to further reduce infection rates. The simulations suggest that a prudent strategy with a reproduction number of around 0.75 is economically optimal.
EUROPEAN JOURNAL OF HEALTH ECONOMICS
(2023)
Article
Engineering, Biomedical
Fatina Siwczak, Zoltan Cseresnyes, Mohamed I. Abdelwahab Hassan, Kehinde Oluwasegun Aina, Swen Carlstedt, Anke Sigmund, Marko Groger, Bas G. J. Surewaard, Oliver Werz, Marc Thilo Figge, Lorena Tuchscherr, Bettina Loffler, Alexander S. Mosig
Summary: Infections with Staphylococcus aureus can invade and persist in macrophages, leading to the formation of small colony variants. These findings highlight the important role of macrophages in the pathogenesis of Staphylococcus aureus infections.
Article
Biotechnology & Applied Microbiology
Katherine Gonzalez, Gauri Gangapurwala, Julien Alex, Antje Vollrath, Zoltan Cseresnyes, Christine Weber, Justyna A. Czaplewska, Stephanie Hoeppener, Carl-Magnus Svensson, Thomas Orasch, Thorsten Heinekamp, Carlos Guerrero-Sanchez, Marc Thilo Figge, Ulrich S. Schubert, Axel A. Brakhage
Summary: The study investigated whether polymeric particles (PPs) can reach Aspergillus fumigatus conidia-containing phagolysosomes in macrophages. The results showed that PPs were efficiently taken up by macrophages and co-localized with conidia in the same phagolysosomes. Fusion of phagolysosomes containing PPs with phagolysosomes containing conidia was observed. This suggests that PPs can be used as a carrier system to target intracellular pathogens.
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
(2023)
Article
Immunology
Neta Gurwicz, Liat Stoler-Barak, Niklas Schwan, Arnab Bandyopadhyay, Michael Meyer-Hermann, Ziv Shulman
Summary: This study reveals that Tingible body macrophages (TBMs) originate from lymph node-resident precursors and consume germinal center B cells through dynamic protrusions to prevent intracellular-content dissemination. The dynamics and function of TBMs provide insights into the emergence of various antibody-mediated autoimmune conditions.
JOURNAL OF EXPERIMENTAL MEDICINE
(2023)
Letter
Biochemical Research Methods
Ruman Gerst, Zoltan Cseresnyes, Marc Thilo Figge
Article
Multidisciplinary Sciences
Coraline Mlynarczyk, Matt Teater, Juhee Pae, Christopher R. Chin, Ling Wang, Theinmozhi Arulraj, Darko Barisic, Antonin Papin, Kenneth B. Hoehn, Ekaterina Kots, Jonatan Ersching, Arnab Bandyopadhyay, Ersilia Barin, Hui Xian Poh, Chiara M. Evans, Amy Chadburn, Zhengming Chen, Hao Shen, Hannah M. Isles, Benedikt Pelzer, Ioanna Tsialta, Ashley S. Doane, Huimin Geng, Muhammad Hassan Rehman, Jonah Melnick, Wyatt Morgan, Diu T. T. Nguyen, Olivier Elemento, Michael G. Kharas, Samie R. Jaffrey, David W. Scott, George Khelashvili, Michael Meyer-Hermann, Gabriel D. Victora, Ari Melnick
Summary: Multicellular life relies on altruistic cooperation among cells. However, a study found that mutations in the BTG1 gene disrupt a crucial mechanism that limits B cell fitness during antibody affinity maturation, leading to the emergence of aggressive lymphomas.
Article
Microbiology
Marie Goldmann, Franziska Schmidt, Zoltan Cseresnyes, Thomas Orasch, Susanne Jahreis, Susann Hartung, Marc Thilo Figge, Marie von Lilienfeld-Toal, Thorsten Heinekamp, Axel A. Brakhage
Summary: Alveolar macrophages are the first line of defense against the inhaled conidia of Aspergillus fumigatus. The conidia's pigment interferes with the formation of lipid rafts, preventing the formation of functional phagolysosomes. Stomatin, an integral membrane protein, plays a role in the recruitment of the beta-glucan receptor dectin-1 and in phagosomal maturation.
Article
Engineering, Biomedical
WanLing Foo, Zoltan Cseresnyes, Carsten Roessel, Yingfeng Teng, Anuradha Ramoji, Mingzhe Chi, Walter Hauswald, Sophie Huschke, Stephanie Hoeppener, Juergen Popp, Felix H. Schacher, Marek Sierka, Marc Thilo Figge, Adrian T. Press, Michael Bauer
Summary: Targeting delivery of oligonucleotides or small molecular drugs to hepatocytes is challenging due to the efficient mononuclear phagocyte system of the liver. In this study, polyplex micelles were used as nanocarriers for drug delivery. By altering the ratio of poly(ethylene glycol) corona to siRNA complexed poly(allyl glycidyl ether) core, the micelles were able to overcome the macrophage-rich reticuloendothelial barrier and specifically target hepatocytes.
Article
Multidisciplinary Sciences
Fengjiao Ma, Rainer Kaufmann, Jaroslaw Sedzicki, Zoltan Cseresnyes, Christoph Dehio, Stephanie Hoeppener, Marc Thilo Figge, Rainer Heintzmann
Summary: Correlative light and electron microscopy combines the benefits of both techniques to study cell structure. However, the current method of overlaying light microscopy onto electron microscopy is limited due to differences in structural detail. This paper introduces a new approach called EM-guided deconvolution to bridge the resolution and specificity gaps. The method was tested on simulations, multi-color beads, and biological samples.
Article
Medicine, Research & Experimental
Arnab Bandyopadhyay, Marta Schips, Tanmay Mitra, Sahamoddin Khailaie, Sebastian C. Binder, Michael Meyer-Hermann
Summary: During the first wave of COVID-19 in Italy, hospital and ICU beds were overwhelmed, leading to increased death rates. By studying data from different regions in Italy, the impact of testing strategies on infection dynamics was analyzed. It was found that early testing and isolation could greatly reduce hospital usage and death toll, but it cannot solve the issue of insufficient healthcare facilities.
COMMUNICATIONS MEDICINE
(2022)
Article
Multidisciplinary Sciences
Gang Zhao, Rainer H. Straub, Michael Meyer-Hermann
Summary: This study constructs a mathematical model for energy flow between different subsystems of an organism and explores the role of the brain and fat in immune response. The results reveal a connection between obesity and aging with chronic infections.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2022)
