Initial experience in implementing quantitative DCE-MRI to predict breast cancer therapy response in a multi-center and multi-vendor platform setting by Brendan Moloney, Xin Li, Michael Hirano, Assim Saad Eddin, Jeong Youn Lim, Debosmita Biswas, Anum S. Kazerouni, Alina Tudorica, Isabella Li, Mary Lynn Bryant, Courtney Wille, Chelsea Pyle, Habib Rahbar, Habib Rahbar, Su Kim Hsieh, Travis L. Rice-Stitt, Suzanne M. Dintzis, Suzanne M. Dintzis, Amani Bashir, Amani Bashir, Evthokia Hobbs, Alexandra Zimmer, Jennifer M. Specht, Jennifer M. Specht, Sneha Phadke, Sneha Phadke, Nicole Fleege, Nicole Fleege, James H. Holmes, James H. Holmes, Savannah C. Partridge, Savannah C. Partridge, Wei Huang

“…Quantitative dynamic contrast-enhanced (DCE) MRI as a promising method for the prediction of breast cancer response to neoadjuvant chemotherapy (NAC) has been demonstrated mostly in single-center and single-vendor platform studies. …”
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Unraveling the Central Role of Global Regulator PprI in <i>Deinococcus radiodurans</i> Through Label-Free Quantitative Proteomics by Siyu Zhu, Feng Liu, Hao Wang, Yongqian Zhang

“…Background: <i>Deinococcus radiodurans</i>, renowned for its exceptional resistance to radiation, provides a robust model for elucidating cellular stress responses and DNA repair mechanisms. …”
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Study of the Frost Resistance of HDFC Based on a Response Surface Model and GM (1,1) Model by Zeli Liu, Jiuhong Jiang, Ziling Xu

“…Taking high ductility concrete (HDFC) as a research object, the frost resistance of HDFC in freeze-thaw cycle tests is studied, accurately predicted, and quantitatively described. Taking the relative dynamic elastic modulus as the evaluation index, the response surface model and GM (1,1) model were used to study the frost resistance of HDFC, and the advantages and disadvantages were evaluated. …”
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ORDINAL LOGISTIC REGRESSION MODEL AND CLASSIFICATION TREE ON ORDINAL RESPONSE DATA by Jajang Jajang, Nunung Nurhayati, Suci Jena Mufida

“…Logistic regression (LR) is a model that associates the relationship between category-type response variables with quantitative or quantitative and qualitative predictor variables.  …”
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Analysis of imaging signatures in 18F-DOPA PET of glioblastoma treated with dose-escalated radiotherapy by Jing Qian, Deanna H. Pafundi, William G. Breen, Paul D. Brown, Christopher H. Hunt, Mark S. Jacobson, Derek R. Johnson, Timothy J. Kaufmann, Bradley J. Kemp, Sani H. Kizilbash, Val J. Lowe, Michael W. Ruff, Jann N. Sarkaria, Joon H. Uhm, Joon H. Uhm, Mark J. Zakhary, Maasa H. Seaberg, Hok Seum Wan Chan Tseung, Elizabeth S. Yan, Yan Zhang, Nadia N. Laack, Debra H. Brinkmann

“…This analysis investigates quantitative image features correlated with prognosis and treatment response to identify patients who benefit the most from dose-escalated therapy.MethodsQuantitative image features from 18F-DOPA PET scans of 58 glioblastoma patients were extracted from the high uptake region (TBR&gt;2.0) in both pre-RT and early post-RT follow-up PET images, which were then refined using Pearson pair correlation. …”
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A Decision-Making Model for the Assessment of Emergency Response Capacity in China by Guanyu Chen, Tao Li, Liguo Fei

“…This study addresses critical gaps in current emergency response capacity (ERC) evaluation frameworks by developing a comprehensive quantitative decision-making model to assess ERC more effectively. …”
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Lightning Overvoltage Response Modeling and Protection Design for Solid State Transformer by Jiatong Zhang, Jianxiong Yu, Jie Ming, Jiajie Duan, Chushan Li

“…Lightning overvoltage response model for three-phase steady-state operating SST based on the configuration of a 2 MVA 10 kV CHB-based SST is established to assess and quantify the effects of the aforementioned parameters design. …”
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Triaxial Response and Elastoplastic Constitutive Model for Artificially Cemented Granular Materials by Xiaochun Yu, Yuchen Ye, Anyu Yang, Jie Yang

“…Quantitative evaluation of the peak values indicates that the proposed constitutive model predicts peak deviatoric stress with an error of 1.36% and peak volumetric strain with an error of 3.78%. …”
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Scientific Opinion on Reflecting on the experiences and lessons learnt from modelling on biological hazards by EFSA Panel on Biological Hazards (BIOHAZ)

“…Quantitative models in risk assessments were found to be essential for providing an output that could be used by risk managers to support a proportionate response to a situation and/or to balance risks and costs. …”
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Quantitative study of the impact of land use change on groundwater level in the Songnen Plain, China by Zhong Lu, Jinliang Zhang, Dengming Yan, Chaoqun Li, Guoping Lei, Zhiqiang Dong, Quanlai Ma

“…The research develops a scenario simulation technique utilizing a coupled surface-groundwater model and a center of gravity offset model, enabling a quantitative analysis of the effects of various land use changes on groundwater levels across different scales. …”
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Dual energy CT-derived quantitative parameters and hematological characteristics predict pathological complete response in neoadjuvant chemoradiotherapy esophageal squamous cell ca... by Miaomiao Li, Yongbin Cui, Yuanyuan Yan, Junfeng Zhao, Xinjun Lin, Qianyu Liu, Shushan Dong, Mingming Nie, Yong Huang, Baosheng Li, Yong Yin

“…Difference tests and spearman correlation were used to select quantitative parameters for DECT model building. Multivariate logistic analysis was used to build clinical model, DECT model and combined model. …”
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Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution by Ruize Xu, Jiahua Zhang, Fang Chen, Bo Yu, Shawkat Ali, Hidayat Ullah, Ali Salem Al-Sakkaf

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Phase field modeling for fracture prediction in goat tibia using an open-source quantitative computer tomography based finite element framework by Debangshu Paul, Zachariah Arwood, Pierre-Yves Mulon, Dayakar Penumadu, Timothy Truster

“…While predicting mechanical responses under various stress scenarios is of significant interest in the field of orthopedic research, finite element (FE) modeling studies specifically focusing on the tibia remain notably limited. …”
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Quantitative Correlation at the Molecular Level of Tumor Response to Docetaxel by Multimodal Diffusion-Weighted Magnetic Resonance Imaging and [F]FDG/[F]FLT Positron Emission Tomog... by Valerie S. Honndorf, Holger Schmidt, Hans F. Wehrl, Stefan Wiehr, Walter Ehrlichmann, Leticia Quintanilla-Martinez, Hervé Barjat, Sally-Ann Ricketts, Bernd J. Pichler

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Quantitative analysis of porcine reproductive and respiratory syndrome (PRRS) viremia profiles from experimental infection: a statistical modelling approach. by Zeenath U Islam, Stephen C Bishop, Nicholas J Savill, Raymond R R Rowland, Joan K Lunney, Benjamin Trible, Andrea B Doeschl-Wilson

“…Our study provides novel insights into the nature and degree of variation of hosts' responses to infection as well as new informative traits for subsequent genomic and modelling studies.…”
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The influence of railway vehicle modeling approach on the dynamic response of a bridge span by Marek, Szafranski

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Ligand‐dependent responses of the ErbB signaling network: experimental and modeling analyses by Marc R Birtwistle, Mariko Hatakeyama, Noriko Yumoto, Babatunde A Ogunnaike, Jan B Hoek, Boris N Kholodenko

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Towards predicting implant-induced fibrosis: A standardized network model of macrophage-fibroblast interactions by Matilde Marradi, Martijn van Griensven, Nick R.M. Beijer, Jan de Boer, Aurélie Carlier

“…In this study, we constructed a literature-based network of the FBR and developed it into a semi-quantitative predictive model to better understand its dynamics. …”
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Can Family Farmers Thrive in Commodity Markets? Quantitative Evidence on the Heterogeneity in Long Agribusiness Supply Chains by Thiago de Carvalho Verano, Gabriel da Silva Medina, João Ricardo de Oliveira Júnior

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Studying the Meaning of Cinematic Techniques Through Experimental Approach: Introducing the Semantic Spectrum Model by Soheil Seraji, Mostafa Goudarzi

“…The findings revealed that the distractor options, representing the semantic spectrum model in the second group, attracted 33% of responses—a significant portion of the audience. …”
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