Article
Engineering, Geological
Jia-Cian Gao, Chung-Han Chan, Chyi-Tyi Lee
Summary: Utilizing a reservoir site in southern Taiwan as an example, this study implemented a novel approach to construct site-dependent ground-motion prediction equations, reducing uncertainties in ground-motion predictions and avoiding over-estimations in probabilistic seismic hazard analysis. By selecting ground-motion records with similar site conditions from nearby stations, a site-dependent GMPE set was created for crustal earthquakes in the region, showing significantly smaller scattering of residuals compared to existing regional GMPEs in Taiwan dataset, highlighting the potential for more accurate and reasonable prediction of ground-motion levels for infrastructure design and safety evaluation.
ENGINEERING GEOLOGY
(2021)
Article
Engineering, Geological
Ruibin Hou, John X. Zhao
Summary: This article presents a set of ground-motion prediction equations (GMPEs) for shallow crustal and upper mantle earthquakes in Japan, using site period as a parameter. The authors used a strong-motion dataset from Japan to develop the GMPEs and incorporated various factors such as source effect, path effect, and site period resonant effect. The study also introduced a modified site period model that achieved better results compared to previous models. The findings of this study have significant implications for earthquake prediction and ground-motion estimation in Japan.
BULLETIN OF EARTHQUAKE ENGINEERING
(2023)
Article
Geochemistry & Geophysics
Shihong Bai, John X. Zhao
Summary: A ground motion prediction equation was developed for vertical strong motions from subduction interface earthquakes in Japan using a large dataset up to 2012. By extending the usable period and adopting a bilinear magnitude scaling function, the model fit was significantly improved.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2022)
Article
Geochemistry & Geophysics
Shihong Bai, John X. Zhao
Summary: This study presents an alternate site-response model to the existing ground-motion prediction equation (GMPE) with some calibration to the magnitude term. The study uses a new site-response proxy and analyzes velocity profiles to determine a suitable site-effect parameter. A GMPE is modified based on these findings.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2023)
Article
Multidisciplinary Sciences
Yang Zhang, Gan Liu, Minzhen Tao, Hui Ning, Wei Guo, Gaofei Yin, Wen Gao, Lifei Feng, Jin Gu, Zhen Xie, Zhigang Huang
Summary: In this study, the changes of hypopharyngeal carcinoma tumor microenvironment (TME) in response to first-line treatment were analyzed, and three gene modules associated with advanced prognosis were identified. A binary classifier model based on non-malignant cell subtype abundance in TME was built to accurately identify treatment-resistant advanced HPC patients and preserve their laryngeal function. This study provides a useful approach to predict treatment responses in hypopharyngeal carcinoma (HPC).
NATURE COMMUNICATIONS
(2023)
Review
Medicine, General & Internal
Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek, Rick L. Stevens
Summary: Cancer claims millions of lives yearly worldwide. Exploiting computational predictive models using deep learning methods shows promise in improving drug development and personalized treatment plans for cancer. However, the lack of standardized framework for comparing drug response prediction models hinders the deciphering of predominant and emerging trends.
FRONTIERS IN MEDICINE
(2023)
Article
Oncology
Quang Thinh Trac, Yudi Pawitan, Tian Mou, Tom Erkers, Paivi Ostling, Anna Bohlin, Albin Osterroos, Mattias Vesterlund, Rozbeh Jafari, Ioannis Siavelis, Helena Backvall, Santeri Kiviluoto, Lukas M. Orre, Mattias Rantalainen, Janne Lehtio, Soren Lehmann, Olli Kallioniemi, Trung Nghia Vu
Summary: Despite the challenge of tumor heterogeneity, a robust prediction model called MDREAM has been developed and validated for predicting drug response in acute myeloid leukemia (AML) patients. This model integrates omics data, including mutations and gene expression, as well as large-scale drug testing. MDREAM achieved good predictive accuracy with a confidence score metric, and its web-based implementation is publicly available.
NPJ PRECISION ONCOLOGY
(2023)
Article
Geochemistry & Geophysics
Ruibin Hou, John X. Zhao
Summary: This study introduces a nonlinear site amplification model using site period as the proxy for site effect. Factors such as impedance ratio, moment magnitude, and source distance affect the amplification model. Model adjustment is necessary for implementing the model into GMPEs.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2022)
Article
Geochemistry & Geophysics
Claudia Mascandola, Simone Barani, Dario Albarello
Summary: This study presents a probabilistic seismic hazard analysis for the Po Plain sedimentary basin in Italy, considering both 1D and 3D amplification effects and their uncertainties. The results reveal the impact of site-response characterization on hazard estimates and emphasize the importance of considering basin effects in future PSHA research.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2023)
Article
Biochemistry & Molecular Biology
Sebastian Foersch, Christina Glasner, Ann-Christin Woerl, Markus Eckstein, Daniel-Christoph Wagner, Stefan Schulz, Franziska Kellers, Aurelie Fernandez, Konstantina Tserea, Michael Kloth, Arndt Hartmann, Achim Heintz, Wilko Weichert, Wilfried Roth, Carol Geppert, Jakob Nikolas Kather, Moritz Jesinghaus
Summary: Researchers developed a multistain deep learning model utilizing artificial intelligence to determine the immunoscore and predict response to neoadjuvant therapy in colorectal cancer patients. The model outperformed other clinical, molecular, and immune cell-based parameters and can serve as a valuable decision-making tool for clinicians.
Article
Construction & Building Technology
Xin Han, Shun Yang, Jingshan Bo, Chaoyu Chang, Mei Guo, Yimeng Cai
Summary: This research proposes an improved calibration method for site-related response spectra. The method statistically analyzes seismic acceleration response spectra and determines the best fitting function for each frequency band using regression analysis. The control parameters of the response spectra are calibrated with a genetic algorithm. The accuracy of the proposed method is validated against other available methods, showing its objective reflection of the spectrum characteristics.
ADVANCES IN CIVIL ENGINEERING
(2022)
Article
Engineering, Geological
Hieu Van Nguyen, Jin Ho Lee
Summary: This study investigates the influence of seismic waves on the uniform hazard response spectra (UHRS) and ground motion response spectra (GMRS) of nuclear facilities at soil sites using probabilistic site response analysis. Monte Carlo simulations and a new probabilistic model are utilized to account for factors such as layer thickness, shear-wave velocity, and nonlinear dependence of shear modulus and damping. Variability in these factors significantly impacts the soil-amplification functions and UHRS/GMRS values, highlighting the importance of considering random soil properties in ensuring the seismic safety of facilities.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2021)
Article
Psychiatry
Alexander Kautzky, Hans-Juergen Moller, Markus Dold, Lucie Bartova, Florian Seemuller, Gerd Laux, Michael Riedel, Wolfgang Gaebel, Siegfried Kasper
Summary: Predictors for treatment outcomes in major depressive disorder are still lacking, a study on acutely depressed patients identified the importance of treatment- and symptom-specific algorithms in increasing accuracies in predicting treatment success. Machine learning plays a decisive role in antidepressant treatment management.
ACTA PSYCHIATRICA SCANDINAVICA
(2021)
Article
Chemistry, Analytical
Shihan Shan, Xiaoping Wang, Zhuoyun Xu, Mengmeng Tong
Summary: This paper proposes an algal identification and concentration determination method based on discrete excitation fluorescence spectra for online algae identification and concentration prediction. By establishing standard feature spectra and linear regression models, accurate classification and concentration prediction of algae can be achieved, especially at low concentrations below the threshold of red tide algae outbreak.
Article
Geochemistry & Geophysics
Camilo Pinilla-Ramos, Norman Abrahamson, Robert Kayen
Summary: The study evaluates several microtremor-based proxies for site amplification in ground-motion models using microtremor data obtained at seismic stations in California. The results show that the site fundamental period is highly correlated with short-period amplification when VS30 measurement is not available, while the normalized amplitude of the mHVSR(T) has the highest correlation with long-period amplification. When VS30 measurement is available, the normalized amplitude of the mHVSR(T) provides the most accurate representation of site amplification not explained by VS30. The study also develops empirical models based on the normalized mHVSR(T) curves for the site terms in the ground-motion models.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2022)
Correction
Multidisciplinary Sciences
Fabio Villani, Riccardo Civico, Stefano Pucci, Luca Pizzimenti, Rosa Nappi, Paolo Marco De Martini, F. Agosta, G. Alessio, L. Alfonsi, M. Amanti, S. Amoroso, D. Aringoli, E. Auciello, R. Azzaro, S. Baize, S. Bello, L. Benedetti, A. Bertagnini, G. Binda, M. Bisson, A. M. Blumetti, L. Bonadeo, P. Boncio, P. Bornemann, S. Branca, T. Braun, F. Brozzetti, C. A. Brunori, P. Burrato, M. Caciagli, C. Campobasso, M. Carafa, F. R. Cinti, D. Cirillo, V. Comerci, L. Cucci, R. De Ritis, G. Deiana, P. Del Carlo, L. Del Rio, A. Delorme, P. Di Manna, D. Di Naccio, L. Falconi, E. Falcucci, P. Farabollini, J. P. Faure Walker, F. Ferrarini, M. F. Ferrario, M. Ferry, N. Feuillet, J. Fleury, U. Fracassi, C. Frigerio, F. Galluzzo, R. Gambillara, G. Gaudiosi, H. Goodall, S. Gori, L. C. Gregory, L. Guerrieri, S. Hailemikael, J. Hollingsworth, F. Iezzi, C. Invernizzi, D. Jablonska, E. Jacques, H. Jomard, V. Kastelic, Y. Klinger, G. Lavecchia, F. Leclerc, F. Liberi, A. Lisi, F. Livio, L. Lo Sardo, J. P. Malet, M. T. Mariucci, M. Materazzi, L. Maubant, F. Mazzarini, K. J. W. McCaffrey, A. M. Michetti, Z. K. Mildon, P. Montone, M. Moro, R. Nave, M. Odin, B. Pace, S. Paggi, N. Pagliuca, G. Pambianchi, D. Pantosti, A. Patera, E. Perouse, G. Pezzo, L. Piccardi, P. P. Pierantoni, M. Pignone, S. Pinzi, E. Pistolesi, J. Point, L. Pousse, A. Pozzi, M. Proposito, C. Puglisi, I. Puliti, T. Ricci, L. Ripamonti, M. Rizza, G. P. Roberts, M. Roncoroni, V. Sapia, M. Saroli, A. Sciarra, O. Scotti, G. Skupinski, A. Smedile, Anne Socquet, G. Tarabusi, S. Tarquini, S. Terrana, J. Tesson, E. Tondi, A. Valentini, R. Vallone, J. Van der Woerd, P. Vannoli, A. Venuti, E. Vittori, T. Volatili, L. N. J. Wedmore, M. Wilkinson, M. Zambrano
Article
Geochemistry & Geophysics
Thomas Chartier, Oona Scotti, Helene Lyon-Caen
SEISMOLOGICAL RESEARCH LETTERS
(2019)
Editorial Material
Geochemistry & Geophysics
Philippe Gueguen, E. Diego Mercerat, Juan Carlos Singaucho, Coralie Aubert, Juan Gabriel Barros, L. Fabian Bonilla, Mutiara Cripstyani, Isabelle Douste-Bacque, Philippe Langlaude, Stephane Mercier, Daniel Pacheco, Michel Pernoud, Mathieu Perrault, Ildut Pondaven, David Wolyniec
SEISMOLOGICAL RESEARCH LETTERS
(2019)
Article
Geochemistry & Geophysics
Lei Qin, Yehuda Ben-Zion, Luis Fabian Bonilla, Jamison H. Steidl
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2020)
Article
Geochemistry & Geophysics
J. Kuehnert, A. Mangeney, Y. Capdeville, J. P. Metaxian, L. F. Bonilla, E. Stutzmann, E. Chaljub, P. Boissier, C. Brunet, P. Kowalski, F. Lauret, C. Hibert
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2020)
Article
Geochemistry & Geophysics
Chunyang Ji, Ashly Cabas, Luis Fabian Bonilla, Celine Gelis
Summary: Soil nonlinear behavior in soft sedimentary deposits during strong ground shaking can lead to catastrophic damage to civil infrastructure. The study investigates the behavior of spectral decay parameter kappa in non-linear regime, finding influences of soil nonlinearity on kappa estimates. Ground motion classification, in situ deformation proxies, and ground shaking intensity affect the applicability of kappa(0) model.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2021)
Article
Geochemistry & Geophysics
F. N. Tchawe, C. Gelis, L. F. Bonilla, F. Lopez-Caballero
Summary: This study examines the impact of small-scale velocity fluctuations on seismic response by modeling 2-D SH wave propagation in a sedimentary basin. The research finds that the amplitude of fluctuations has a greater effect on ground motion variability than the correlation length, with ground motion in different stochastic models being locally amplified or deamplified compared to a reference model. Additionally, the study highlights the importance of understanding site properties at different scales for proper seismic hazard assessment.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Ssu-Ting Lai, Nobuaki Fuji, Ikuo Katayama, Luis Fabian Bonilla, Yann Capdeville
Summary: Through laboratory rock deformation experiments and Monte Carlo waveform inversion, we can estimate the evolution of elastic and anelastic parameters of rock samples. By comparing laboratory experimental data with synthetic seismic data, we can interpret the process of rock crack development.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Geochemistry & Geophysics
D. Pacheco, E. D. Mercerat, F. Courboulex, L. F. Bonilla, A. Laurendeau, A. Alvarado
Summary: Quito, the capital of Ecuador, is at high seismic risk due to its proximity to seismic zones. A study conducted in the city investigated the seismic response of an intermontane basin. Differences in the basin's structure between its northern and southern parts were found to explain the observed low-frequency seismic amplification during a previous earthquake.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
S. Chabot, E. D. Mercerat, N. Glinsky, L. F. Bonilla
Summary: An automatic algorithm is proposed in this study to efficiently sample the shear-modulus reduction curve, which can reduce the computational time and improve the quality of the solution.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Francoise Courboulex, David Alejandro Castro-Cruz, Aurore Laurendeau, Luis Fabian Bonilla, Alexandra Alvarado, Etienne Bertrand
Summary: This study aims to understand the impact that large earthquakes from the subduction zone would have on the expanding city of Quito. By simulating and comparing seismic data, the study finds that the current seismic standards in Quito seem to be suitable for strong but distant earthquakes.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Elif Oral, Peyman Ayoubi, Jean Paul Ampuero, Domniki Asimaki, Luis Fabian Bonilla
Summary: The 2015 Gorkha earthquake in Nepal revealed the seismic behavior of the Kathmandu basin, which amplifies low frequency ground motion but reduces high frequency motion. However, waves with large incidence angles can still amplify high frequency ground motion. The findings of this study can support resilience practices in Nepal and guide seismic hazard assessment studies in other regions with similar complexities.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geosciences, Multidisciplinary
Loic Viens, Luis Fabian Bonilla, Zack J. Spica, Kiwamu Nishida, Tomoaki Yamada, Masanao Shinohara
Summary: This study investigates the response of marine sediments during earthquake ground motions using distributed acoustic sensing (DAS) along a fiber-optic cable offshore the Tohoku region, Japan. By computing AutoCorrelation Functions (ACFs) of the ground motions in different frequency bands, time delays and relative velocity changes (dv/v drops) are detected, indicating the nonlinearity of the soil. The study demonstrates that DAS can provide unprecedented spatial resolution for inferring the dynamic properties of shallow Earth.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Correction
Geochemistry & Geophysics
Elif Oral, Peyman Ayoubi, Jean Paul Ampuero, Domniki Asimaki, Luis Fabian Bonilla
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Environmental Sciences
Virginie Durand, Anne Mangeney, Pascal Bernard, Xiaoping Jia, Fabian Bonilla, Claudio Satriano, Jean-Marie Saurel, El Madani Aissaoui, Aline Peltier, Valerie Ferrazzini, Philippe Kowalski, Frederic Lauret, Christophe Brunet, Clement Hibert
Summary: Analyzing 10 years of observations at the Piton de la Fournaise volcano, researchers found that long-term swarm-type seismic activity combined with rainfall can cause instability of volcanic structures like flanks and crater walls, with the stability state of the slope affecting the efficiency and time-delay of the dynamic triggering.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)