Vascularized skin tissue models featuring adipose cell spheroid-laden GelMA hydrogels by Dongjin Lee, Sangmin Lee, Jeongbok Lee, Dahong Kim, Hyunseok Kwon, Junhyoung Ahn, Hyungjun Lim, Jae Jong Lee, Heungsoo Shin, Su A Park

“…Here, we present a method using a gelatin methacryloyl (GelMA) hydrogel to establish a microenvironment that hosts connected composite tissues: a vascularized skin layer and a subcutaneous adipose layer. …”
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Lean manufacturing implementation in food and beverage SMEs in Tanzania: using structural equation modelling (SEM) by Juma M. Matindana, Mary J. Shoshiwa

“…Using Exploratory Factor Analysis (EFA) and Confirmatory Composite Analysis (CCA), data from 113 SMEs were analysed, revealing that lean tools and processes are strong predictors of improved output, with a significant portion of variance explained by the model. …”
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Developing a multivariate model for the prediction of concussion recovery in sportspeople: a machine learning approach by Antonio Belli, Vijay Sawlani, David Davies, Kamal Yakoub, Louise C Yates, Elliot Yates, Xuanxuan Li, Yiping Lu

“…A final composite model accuracy of 94.6% based on the unseen testing subset was obtained, yielding a sensitivity of 100% and specificity of 93.8% with a positive predictive value of 71.4% and a negative predictive value of 100%. …”
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Ensemble models enhanced estimates of leaf chlorophyll from fractional order derivatives transformed spectra by Guangman Song, Yi Gan, Lingfeng Mao, Zhiwei Ge, Jiangshan Lai, Quan Wang

“…To address these challenges, we applied the fractional order derivatives (FOD) transformed spectra into ensemble models, consisting of two popular data-oriented approaches, to refine the spectral response characteristics of leaf chlorophyll using a composite dataset (two public datasets: LOPEX and ANGERS; two collected datasets: Naeba and Nakakawane) containing different species samples. …”
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Transient well-test model of a slanted well in a heterogeneous multi-zonal reservoir by Renshi Nie, Letian Zhang, Yu Xiong, Changjian Gan, Tao Zhang, Shanshan Lu, Yangyang Chen, Jie Zhan

“…Various contemporary mathematical techniques, including Laplace integral transformation, separation of variables, and eigenfunction methods, were employed to solve the model. The pressure solution in real space was obtained through Duhamel's principle and Stehfest numerical inversion, then analytical curves created, and flow stages were defined for a slanted well in a bi-zonal composite reservoir. …”
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Regularized win ratio regression for variable selection and risk prediction, with an application to a cardiovascular trial by Lu Mao

“…This gap necessitates a robust variable selection method tailored to the win ratio framework. Methods We propose an elastic net-type regularization approach for win ratio regression, extending the proportional win-fractions (PW) model in low-dimensional settings. …”
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Advancing Precision Medicine for Hypertensive Nephropathy: A Novel Prognostic Model Incorporating Pathological Indicators by Yunlong Qin, Jin Zhao, Yan Xing, Zixian Yu, Panpan Liu, Yuwei Wang, Anjing Wang, Yueqing Hui, Wei Zhao, Mei Han, Meng Liu, Xiaoxuan Ning, Shiren Sun

“…NRI and IDI indicated that the RSF model outperformed the Cox model regarding risk classification. …”
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Prediction model based on gut microbiota as a non-invasive tool for gastric cancer diagnosis by Changchang Chen, Chen Chen, Xiaoguang Zheng, Weizhong Wang, Jian Shen, Gulei Jin, Jianxin Lyu, Lijun Lin

“…Previous studies have shown that current diagnostic methods largely rely on invasive procedures. Moreover, there are no highly sensitive and accurate biomarkers available for early GC diagnosis. …”
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A machine learning–based risk prediction model for atrial fibrillation in critically ill patients by Laith Alomari, MD, Yaman Jarrar, MD, Zaid Al-Fakhouri, MD, Emmanuel Otabor, MBBS, Justin Lam, MD, Jana Alomari

“…A compact model was developed using 15 variables and 2 novel features—one identifying patients 70 years of age or older with sepsis and another representing a composite score of pre-existing cardiac risk factors. …”
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Glycolysis-Driven Prognostic Model for Acute Myeloid Leukemia: Insights into the Immune Landscape and Drug Sensitivity by Rongsheng Zhang, Wen Jin, Kankan Wang

“…Although glycolysis has been extensively studied in cancer, its prognostic significance in AML remains unclear. <b>Methods</b>: Glycolysis-related prognostic genes were identified by differential expression profiles. …”
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CALCULATION OF ACTUAL MODIFICATION OF CYCLOIDAL GEAR BASED ON OPTIMAL APPROXIMATION PRINCIPLE by ZHOU JingYuan, LI TianXing, SU JianXin, WANG Bin, ZHANG RuiYao

“…By analyzing the composite profiling method for cycloidal gear, the best approximation modification calculation model is constructed with the sum of squared normal errors as the target. …”
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Steady-state mixing state of black carbon aerosols from a particle-resolved model by Z. Zhang, Z. Zhang, J. Wang, J. Wang, J. Wang, J. Wang, N. Riemer, C. Liu, C. Liu, Y. Jin, Y. Jin, Z. Tian, Z. Tian, J. Cai, J. Cai, Y. Cheng, Y. Cheng, G. Chen, G. Chen, B. Wang, B. Wang, S. Wang, A. Ding, A. Ding

“…Utilizing the slope parameter <span class="inline-formula"><i>k</i></span>, which effectively characterizes the CT distribution under the steady-state simplifying assumption, the BC absorption enhancement closely corresponds to the results obtained via the particle-resolved method. This study simplifies the BC mixing state description and yields a precise evaluation of the BC optical properties, which has the potential utility for modeling efforts in the refinement of the assessment of BC's radiative effects.…”
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Paradoxical Effect of Myosteatosis on the Immune Checkpoint Inhibitor Response in Metastatic Renal Cell Carcinoma by Jiwoong Yu, Hyeonju Ahn, Kyung Yeon Han, Wan Song, Hyun Hwan Sung, Hwang Gyun Jeon, Byong Chang Jeong, Seong Il Seo, Seong Soo Jeon, Se Hoon Park, Woong‐Yang Park, Ji Hyun Lee, Minyong Kang

“…This study investigated the prognostic implications of pretreatment low skeletal muscle mass (LSMM) and myosteatosis in patients with mRCC undergoing first‐line ICI‐based therapies, comparing outcomes between PD‐1 inhibitor + CTLA‐4 inhibitor and PD‐1 inhibitor + TKI, incorporating single‐cell RNA sequencing. Methods A retrospective analysis was performed on 90 patients with mRCC treated with ICI‐based therapies between November 2019 and March 2023. …”
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exoALMA. III. Line-intensity Modeling and System Property Extraction from Protoplanetary Disks by Andrés F. Izquierdo, Jochen Stadler, Maria Galloway-Sprietsma, Myriam Benisty, Christophe Pinte, Jaehan Bae, Richard Teague, Stefano Facchini, Lisa Wölfer, Cristiano Longarini, Pietro Curone, Sean M. Andrews, Marcelo Barraza-Alfaro, Gianni Cataldi, Nicolás Cuello, Ian Czekala, Daniele Fasano, Mario Flock, Misato Fukagawa, Himanshi Garg, Cassandra Hall, Iain Hammond, Thomas Hilder, Jane Huang, John D. Ilee, Andrea Isella, Kazuhiro Kanagawa, Geoffroy Lesur, Giuseppe Lodato, Ryan A. Loomis, Ryuta Orihara, Daniel J. Price, Giovanni Rosotti, Leonardo Testi, Hsi-Wei Yen, Gaylor Wafflard-Fernandez, David J. Wilner, Andrew J. Winter, Tomohiro C. Yoshida, Brianna Zawadzki

“…Our workflow, built on the discminer modeling framework, incorporates an improved iterative two-component fitting method for inclined sources ( i > 40 ^∘ ) to mitigate the impact of the disk back side on the extraction of velocity maps. …”
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Stainless Steel 316L Fabricated by Fused Deposition Modeling Process: Microstructure, Geometrical and Mechanical Properties by Maria Zaitceva, Anton Sotov, Anatoliy Popovich, Vadim Sufiiarov

“…The aim of this work was to compare the debinding methods and investigate the microstructure, phase composition, and geometric and mechanical properties. …”
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Modeling and Simulation of Biomass Gasification with Aspen Plus for Different Types of Local Biomass from Riau Province by Asshiyami Zikra, Ricky Okta Yohannes, Faiprianda Assyari Rahmatullah, Hari Rionaldo, Zulfansyah

“…Biomass moisture content, equivalent ratio, and gasification temperature are important parameters that affect the chemical composition and heating value of syngas analyzed using the sensitivity analysis method. …”
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A composite 18F-FDG PET/CT and HER2 tissue-based biomarker to predict response to neoadjuvant pertuzumab and trastuzumab in HER2-positive breast cancer (TBCRC026)Key Points: by Maeve A. Hennessy, Ashley Cimino-Mathews, Jodi M. Carter, Jennifer M. Kachergus, Yaohua Ma, Jeffrey P. Leal, Lilja B. Solnes, Vandana G. Abramson, Lisa A. Carey, Mothaffar Rimawi, Jennifer Specht, Anna Maria Storniolo, Christos Vaklavas, Ian Krop, Eric Winer, Rita Denbow, Vincente Valero, Antonio C. Wolff, Richard L. Wahl, Chiung-Yu Huang, Vered Stearns, E. Aubrey Thompson, Roisin M. Connolly

“…Methods: 83 patients with estrogen receptor-negative/HER2-positive breast cancer received neoadjuvant HP alone [pathologic complete response (pCR) 22 %]. …”
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A novel algorithm for modeling gas–oil dynamic interfacial tension (IFT) and component exchange mechanisms by Ali Safaei, Masoud Riazi

“…There are several laboratory methods for measuring IFT, of which the pendant drop method is one of the most commonly used. …”
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Development of lesion and organ negative cast modelling technique for quality assurance and optimization of nuclear medicine images by Roberto Fedrigo, Robin J. N. Coope, Guillaume Chaussé, Ingrid Bloise, Claire Gowdy, François Bénard, Arman Rahmim, Carlos F. Uribe

“…Results Mean absolute error (MAE) for tumour volume between the original template and casted models is 13.8%, indicating that the method is reasonably accurate. …”
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Construction of Empirical Models of Complex Oscillation Processes with Non-Multiple Frequencies Based on the Principles of Genetic Algorithms by Mykhailo Horbiychuk, Olha Bila, Nataliia Lazoriv

“…A method for constructing the empirical models of complex processes has been developed on the basis of genetic algorithms which, compared to the inductive method of self-organization of models, significantly reduces computer time for their implementation. …”
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