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

“…By integrating 10 tumor biomarkers, the combined diagnostic model improved the AUC to 0.86 (validation set: 0.84). …”
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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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3D Printed multilayer overlapping resonators for low-frequency broadband sound absorption: mechanism analysis and corresponding modified theoretical method by Yiming Zhao, Zichao Guo, Jie Ye, Junjie Deng, Xinying Lu, Kexin Zeng, Zhonggang Wang, Zhendong Li

“…To reveal its complex characteristics, a high-fidelity correction method was proposed to calculate the increase in the effective depth of the cavity structure. …”
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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

“…We constructed a seven-gene prognostic model (<i>G6PD</i>, <i>TFF3</i>, <i>GALM</i>, <i>SOD1</i>, <i>NT5E</i>, <i>CTH</i>, <i>FUT8</i>). …”
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MEMAKSIMALKAN KEUNTUNGAN HARIAN PADA INDUSTRI RUMAHAN “NANDA JAYA†DENGAN PENERAPAN METODE SIMPLEKS by Lukas Susanto

“…Data collection was carried out by observation and interviews. The mathematical model of the research problem is a linear program problem with three variables that can be solved by the simplex method. …”
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Transition metal coordination polymer-derived materials for supercapacitor applications: recent advances and future perspectives by Saifullahi Kabiru Sa’adu, Cheng Seong Khe, Muhammad Fadhlullah Abd. Shukur, Kwok Feng Chong, Chin Wei Lai, Kok Yeow You, Nik Roselina Nik Roseley, Eslam Aboelazm

“…Theoretical frameworks like density functional theory and emerging machine learning models are other methods employed to better understand redox behaviour and drive material design. …”
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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

“…Altered checkpoint expression and immune cell composition associated with myosteatosis may contribute to these differential responses.…”
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Designing a model of the role of social media in crisis management and digital supply chain resilience by Farhad Jahangiri, Abolfazl Danaei, Mahsa Akbari, Younos Vakil Alroaia

“…In this research, the metacomposite method has been used to present the model. In the qualitative part of the study 10 experts participated through the whole number selection, and the quantitative part included 500 employees of MAPNA company, based on Cohen's sample size table. …”
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Association between the nutritional inflammation index and mortality among patients with sepsis: insights from traditional methods and machine learning-based mortality prediction by Yuanshuo Ge, Ding Hu, Zhe Wang, Cheng Zhang

“…This study aims to evaluate the association between ANLR and mortality in sepsis patients using both traditional statistical methods and machine learning models. Methods A retrospective cohort study was conducted using the MIMIC-IV (v3.1) database. …”
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Performance Evaluation Model of Overhead Transmission Line Anti-Icing Strategies Considering Time Evolution by Xuyang Li, Xiaojuan Xi, Zhengwei Guo, Yongjie Li, Muzi Li, Bing Fan

“…Finally, a performance evaluation method for anti-icing strategies is developed based on the risk quantification model. …”
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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

“…We hypothesized that a composite biomarker incorporating PET/CT and HER2 tissue-based biomarkers could improve biomarker performance. …”
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A demand-centered scheduling framework for shared supercomputing resources: modeling, metrics, and case insights by Hyungwook Shim

“…The methodology involves estimating a demand model using price elasticity analysis and developing a new composite index to quantitatively evaluate resource management efficiency across multiple centers. …”
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Estimation of Relationship between Inflation and Relative Price Variability: Granger Causality and ARDL Modelling Approach by Saghir Pervaiz Ghauri, Rizwan Raheem Ahmed, Jolita Vveinhardt, Dalia Streimikiene

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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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Cohesive zone modeling of the buckling behavior of a fusion-joined, additive-manufactured wind blade by Dongyang Cao, Hongbing Lu, Daniel Todd Griffith

“…An approach was adopted to integrate a hybrid of solid and cohesive elements within the cohesive zone modeling (CZM) framework using the Abaqus–Riks method. …”
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Numerical simulation on the three-dimension mesoscopic model of aerated ceramsite concrete based on CT scan by Zhewei Liang, Chaomin Rao, Yuanchen Zhu, Timon Rabczuk, Jianmin Wang

“…The proposed simulation method well represented the real ceramsite aggregates and distribution in ACC and the result coincided with the test based on the related defining of crushable foam material model of the aerated mortar cement slurry and ceramsite aggregates. …”
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Three-Chamber Actuated Humanoid Joint-Inspired Soft Gripper: Design, Modeling, and Experimental Validation by Yinlong Zhu, Qin Bao, Hu Zhao, Xu Wang

“…Additionally, the kinematic model of the finger is developed using the D–H parameter method. …”
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Modeling magnetohydrodynamic ternary nanofluid flow over rotating porous discs with interfacial morphology effects by Kainat Yasin, M. Zubair Akbar Qureshi, Ali Ovais, Muhammad Waheed Rasheed, Abdu Alameri

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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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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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