Europium-labelled nanopolystyrene as model nanoplastics for environmental fate investigations: Synthesis and optimisation by Rega Permana, Swati Sharma, Christopher Stark, David Price, Christian Pfrang, Eugenia Valsami-Jones

“…Their biomolecule-like composition, primarily composed of carbon and hydrogen, complicates detection using conventional analytical methods. …”
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Physics-based Simulation of the 2013 April 11 Solar Energetic Particle Event by Weihao Liu, Igor V. Sokolov, Lulu Zhao, Tamas I. Gombosi, Nishtha Sachdeva, Xiaohang Chen, Gábor Tóth, David Lario, Ward B. Manchester IV, Kathryn Whitman, Christina M. S. Cohen, Alessandro Bruno, M. Leila Mays, Hazel M. Bain

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Understanding the Complexity of the Food System: Differences and Commonalities between Two Optimization Models by Samantha N. Heerschop, Renee P. M. Cardinaals, Sander Biesbroek, Argyris Kanellopoulos, Johanna M. Geleijnse, Pieter van ‘t Veer, Hannah H. E. van Zanten

“…Methods: we compared the Circular Food System (CiFoS) model with the Sustainable, Healthy, Acceptable, Realistic, and Preferable diets (SHARP) model. …”
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Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

“…Previous studies have often focused on overall performance, neglecting specific challenges in medical contexts and the impact of macrofactors like lexical composition on prediction accuracy. These gaps hinder the development of optimized NER models for medical applications. …”
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DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model by Md. Ashikur Rahman, Md. Mamun Ali, Kawsar Ahmed, Imran Mahmud, Francis M. Bui, Li Chen, Santosh Kumar, Mohammad Ali Moni

“…This study introduces DeepQSP, a novel technique for QSP identification, which combines Latent Semantic Analysis (LSA), a word embedding feature extraction method, with classical amino acid-based extraction Pseudo Amino Acid Composition (PAAC), and a convolutional neural network (CNN) classifier. …”
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Knowledge Discovery in Databases of Proteomics by Systems Modeling in Translational Research on Pancreatic Cancer by Mathilde Resell, Elisabeth Pimpisa Graarud, Hanne-Line Rabben, Animesh Sharma, Lars Hagen, Linh Hoang, Nan T. Skogaker, Anne Aarvik, Magnus K. Svensson, Manoj Amrutkar, Caroline S. Verbeke, Surinder K. Batra, Gunnar Qvigstad, Timothy C. Wang, Anil Rustgi, Duan Chen, Chun-Mei Zhao

“…Here, we propose a ‘systems modeling’ workflow for KDD. Methods: This framework includes the data collection of a composition model (various research models), processing model (proteomics) and analytical model (bioinformatics, artificial intelligence/machine leaning and pattern evaluation), knowledge presentation, and feedback loops for hypothesis generation and validation. …”
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Modelling and simulation of cloud‐native‐based edge computing terminals for power distribution by Junjie Zheng, Jing Qu, Zexiang Cai, Ying Xue, Xiaohua Li

“…To develop an effective quantitative analysis tool for PDECT performance, the composition and characteristics of cloud‐native PDECT are studied, and the modelling and simulation of cloud‐native PDECT are proposed. …”
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Low-intensity ultrasound lysis of amyloid microclots in a lab-on-chip model by Reza Rasouli, Brad Hartl, Soren D. Konecky

“…Amyloid microclot models were generated using freeze-thaw cycles followed by incubation. …”
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Material Flow Meta Model-driven Simulation for the Production of Discrete Manufacturing Plant by YANG Hanqin, DING Guofu, LIU Mingyuan, XIE Jiaxiang, FU Jianlin, XUE Shengzhong

“…For this reason, a method based on Material Flow Meta Model (MFMM) is proposed to simulate the production process of the discrete manufacturing plant. …”
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Probiotic potential of Phocaeicola coprocola in modulating learning and memory behaviors in the honeybee model by Mengqi Xu, Mengqi Xu, Xiaohan Zhang, Xiaohan Zhang, Xi Luo, Guanzhou Zhou, Guanzhou Zhou, Nana Zhang, Xiaoyan Chi, Xiaoyan Chi, Rongrong Ren, Lihua Peng, Gang Sun, Yunsheng Yang, Yunsheng Yang

“…However, its functional roles and underlying mechanisms remain poorly understood.MethodsWe evaluated the effects of P. coprocola on cognitive performance using the honeybee (Apis mellifera) as a novel model for the microbiota–gut–brain axis. …”
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Defect Detection Model for Catenary Components in Environments with Few Samples and Small Targets by YU Xiaosi, WEI Baoquan, LI Zewen, DENG Fangming

“…［Method］The composition of the detection system, the improved DCGAN (deep convolutional generative adversarial network) structure and the improved YOLACT (single-stage conditional adversarial network) model are introduced, and the defect detection effect is verified based on the actual defect datasets. …”
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Theoretical Analysis and Modelling of LNG Reforming to Hydrogen Marine Fuel for FLNG Applications by We Lin Chan, Ivan C. K. Tam, Arun Dev

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Chronic sleep deprivation is associated with delayed puberty onset in rats, activation of proinflammatory cytokines and gut dysbiosis by Shirley Priscilla Gunawan, Shih-Yi Huang, Jhih-Wei Hsu, Chia-Yuan Lin, Nam Nhat Nguyen, Te-Hsuan Tung, Shu-Ling Liang, Gilbert Aaron Lee, Chien-Tien Su, Yang Ching Chen

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Modelling of biological age in stable and acute exacerbations of chronic obstructive pulmonary disease by Yujiao Wang, Ting Mu, Yufen Fu, Yuxin Wang, Guoping Li

“…The dataset was partitioned into training and validation sets at a 7:3 ratio, and LASSO regression was applied to refine the model's variable composition. To assess the ability of different variables to discriminate current disease status, we developed the initial model and three subsequent models, with the following variables added in the new model: Chronological age (CA), BA, and biological age acceleration. …”
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A 3D Bio-Printed-Based Model for Pancreatic Ductal Adenocarcinoma by Claire Godier, Zakaria Baka, Laureline Lamy, Varvara Gribova, Philippe Marchal, Philippe Lavalle, Eric Gaffet, Lina Bezdetnaya, Halima Alem

“…Currently, the use of 3D bio-printing is an emerging and promising method for the development of cancer tumor models with reproducible heterogeneity and a precisely controlled structure. …”
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Design and methods of an adaptive trial to test comparative effectiveness of readmission reduction approaches following infection and sepsis hospitalizations (ACCOMPLISH) by Kristin Mayes, Victor B. Talisa, Adelina Malito, Florian B. Mayr, Kelly Williams, Kalpana Char, Richard Wadas, Elizabeth Lorenzi, Kert Viele, Rana Awdish, Derek C. Angus, Chung-Chou Ho Chang, Sachin Yende

“…We designed a pragmatic adaptive randomized clinical trial to determine the effect of four post-discharge RPM strategies comprising low vs. high intensity monitoring and standard versus enhanced care team response on 90-day hospital readmission rates. Methods: Adults admitted to the hospital with sepsis or lower respiratory tract infection (index admission) are recruited and randomized to usual care (structured telephonic support [STS]) or one of four post-discharge RPM care models in addition to STS. …”
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Influence of microstructure on the wettability of tobacco leaves: a theoretical model and quantitative analysis by Jinxin Tie, Binfeng Shen, Binfeng Shen, Yuehui Qiao, Wei Zhao, Ronghua Xu, Miao Wang, Kecheng Li, Kecheng Li, Jie Qian

“…Based on the Cassie–Baxter model, we develop theoretical models of venation and foliage for predicting contact angles. …”
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Modeling the postprandial CETP-mediated lipid redistribution between chylomicrons, LDL and HDL by Martin Jansen, Christine Contini, Michael M. Hoffmann, Gerhard Puetz

“…CETP-mediated TG redistribution was modeled based on the surface and composition data of respective lipoprotein fractions and validated by corresponding measured values. …”
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Machine learning for discrimination of phase‐change chalcogenide glasses by Qundao Xu, Meng Xu, Siqi Tang, Shaojie Yuan, Ming Xu, Wei Zhang, Xian‐Bin Li, Zhongrui Wang, Xiangshui Miao, Chengliang Wang, Matthias Wuttig

“…Particularly in electronic phase‐change memory applications, distinguishing these glasses from neighboring compositions that do not possess memory capabilities is inherently difficult when employing traditional analytical methods. …”
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Comparative effectiveness of glucagon-like peptide-1 receptor agonists on body composition and anthropometric indices: A protocol for a systematic review and network meta-analysis... by Nuttaya Wachiraphansakul, Thanawat Vongchaiudomchoke, Worapaka Manosroi, Surapon Nochaiwong

“…Based on a random-effects model, we will employ a two-step approach of traditional pairwise meta-analysis and network meta-analysis for quantitative synthesis. …”
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