Numerical Tools for Composite Woven Fabric Preforming by Abel Cherouat, Houman Bourouchaki

“…The prediction of the angular distortion of the reinforcement during draping and the changes in fibre orientation are essential for the understanding of the manufacture process and the evaluation of the mechanical properties of the composite structures. This paper presents an optimization-based method for the simulation of the forming processes of woven fabric reinforced composites. …”
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Molecular imaging of macrophage composition and dynamics in MASLD by Bin Q. Yang, Mandy M. Chan, Gyu Seong Heo, Lanlan Lou, Hannah Luehmann, Christopher Park, Alexandria Li, Divangana Lahad, Deborah Sultan, Peter Voller, Kathleen Byrnes, Christina Fu, Yongjian Liu, Joel D. Schilling

“…Results: Using a mouse model of MASH, we found that the liver uptake of both CCR2 and CD163 radiotracers detected an increase in recruited cells and a decrease in resident macrophages. …”
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The Fuzzy Composite Judgement of the Fault Modes and Effects by 孙有朝, 樊蔚勋

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Deep learning of the particulate and mineral-associated organic carbon fractions using a compositional transform and mid-infrared spectroscopy by Mingxi Zhang, Zefang Shen, Lewis Walden, Farid Sepanta, Zhongkui Luo, Lei Gao, Oscar Serrano, Raphael A. Viscarra Rossel

“…We used the centred log ratio (CLR) method to transform the data compositionally and then modelled POCmac, POCmic, POC (POCmac + POCmic), and MAOC with the spectra, using convolutional neural networks (CNN) and cubist for benchmarking. …”
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Efficient Screening in Obstructive Sleep Apnea Using Sequential Machine Learning Models, Questionnaires, and Pulse Oximetry Signals: Mixed Methods Study by Nai-Yu Kuo, Hsin-Jung Tsai, Shih-Jen Tsai, Albert C Yang

“…ConclusionsAlthough a composite model using multiple saturation parameters exhibits higher accuracy, optimizing this model by identifying key factors is essential. …”
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Reduced composite dietary antioxidant index increases the risk of Parkinson’s disease and all-cause mortality in Parkinson’s disease patients: evidence from the NHANES database by Fei Huang, Jingwen Hao, Chanjuan Chen, Qun Liu, Dan He

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Formulation development and evaluation, in silico PBPK modeling and in vivo pharmacodynamic studies of clozapine matrix type transdermal patches by Abdul Qadir, Syed Umer Jan, Muhammad Harris Shoaib, Muhammad Sikandar, Rabia Ismail Yousuf, Fatima Ramzan Ali, Fahad Siddiqui, Abdul Jabbar Magsi, Ghulam Mustafa, Muhammad Talha Saleem, Shafi Mohammad, Mohammad Younis, Muhammad Arsalan

“…A 3-level, 3-factor Central Composite Design was applied to examine and validate the impact of various formulation variables, Eudragit, PEG, and oleic acid on in vitro drug release, flux, and tensile strength (TS). …”
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Optimizing Vehicle Body Cross-Sections Using a Parametric Mathematical Model by Zhaohui Hu, Shuai Mo, Huang Liu, Fuhao Mo

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Bio-Impedance Analysis of Human Upper Limbs Based on Transient Simulation Using the Finite Element Method by Enver Salkim, Tayfun Abut

“…<b>Method:</b> The 3D realistic human upper arm model was developed based on the image data set. …”
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Effects of In-Plane Loading on Vibration of Composite Plates by E. Carrera, P. Nali, S. Lecca, M. Soave

“…The different kinematic approaches are compared in order to identify the appropriate modeling for laminated composite plates subjected to combined loadings. …”
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Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations by Ainars Paeglitis, Andris Freimanis

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Peripheral blood metabolic composite score based on peripheral blood metabolism can be used as an assessment of recurrence after surgery in patients with locally advanced gastric c... by Ning Meng, Zhiqiang Wang, Yaqi Peng, Xiaoyan Wang, Wenju Yue, Le Wang, Jingxia Lv, Jingxia Lv, Jingxia Lv, Wenqian Ma, Wenqian Ma, Wenqian Ma

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Crack evolution mechanism of stratified rock mass under different strength ratios and soft layer thickness: Insights from DEM modeling by Qinji Jia, Xiaoming Liu, Xin Tan

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Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms by Abdul Aabid, Md Abdul Raheman, Meftah Hrairi, Muneer Baig

“…This study is particularly important for designing the single-sided composite patch repair method based on analytical modelling. …”
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Emergent B2 chemical orderings in the AlTiVNb and AlTiCrMo refractory high-entropy superalloys studied via first-principles theory and atomistic modelling by Christopher D Woodgate, Hubert J Naguszewski, David Redka, Ján Minár, David Quigley, Julie B Staunton

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Lithospheric structure in the Baikal–central Mongolia region from integrated geophysical‐petrological inversion of surface‐wave data and topographic elevation by J. Fullea, S. Lebedev, M. R. Agius, A. G. Jones, J. C. Afonso

“…Recent advances in computational petrological modeling provide accurate methods for computing seismic velocities and density within the lithospheric and sub‐lithospheric mantle, given the bulk composition, temperature, and pressure within them. …”
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Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018 by Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou

“…Furthermore, an optimal predictive model was developed for CKD using ten machine learning algorithms and enhanced model interpretability with the Shapley Additive Explanations (SHAP) method. …”
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Calibration of Parameters for Leaf-Stem-Cutting Model of Tuber Mustard (<i>Brassica juncea</i> L.) Based on Discrete Element Method by Man Gu, Haiyang Shen, Weiwen Luo, Jie Ling, Bokai Wang, Fengwei Gu, Shumin Song, Liang Pan, Zhichao Hu

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Massively parallel phase field fracture simulations on supercomputers: towards multi-billion degree-of-freedom computations by Zakaria Chafia, Julien Yvonnet, Jérémy Bleyer, Stéphane Vincent, Simon El Ouafa

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Machine learning-driven prognostic prediction model for composite small cell lung cancer: identifying risk factors with network tools and validation using SEER data and external co... by Fei Li, Mengfan Zhao, Linlin Cao, Shuai Qie

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