Thermo-mechanical characterization and numerical modeling of lightweight mortars incorporating natural Pozzolan and expanded clay by Brahim Balizi, Hamza Karim Serroukh, Ayoub Aziz, Mouhcine Benaicha, Abdelilah Bellil, Abdellali El Khadiri, Najma Laaroussi

“…The result highlights the thermal vs. mechanical reliability trade-off, necessitating optimized mortar composition for the development of energy-efficient and structurally strong building material.…”
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Modeling and Carbon Emission Assessment of Novel Low-Carbon Smelting Process for Vanadium–Titanium Magnetite by Yun Huang, Jue Tang, Mansheng Chu

“…This study evaluated the low-carbon PLCsmelt process for VTM smelting through energy–mass balance modeling, comparing two gas-recycling configurations. …”
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A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments by P. Yeste, P. Yeste, P. Yeste, M. García-Valdecasas Ojeda, M. García-Valdecasas Ojeda, S. R. Gámiz-Fortis, S. R. Gámiz-Fortis, Y. Castro-Díez, Y. Castro-Díez, A. Bronstert, M. J. Esteban-Parra, M. J. Esteban-Parra

“…Results from the two calibration experiments suggested that, while the streamflow performance remained close in both cases, the evaporation performance was highly improved if the objectives for streamflow and evaporation were combined into a single composite function during optimization. The VIC model outperformed the reference benchmark, and the independent meteorological datasets yielded a slight to moderate loss in model performance depending on the calibration experiment considered. …”
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Multi-omics characterization of diabetic nephropathy in the db/db mouse model of type 2 diabetes by Liping Wang, Ran Zhou, Guanghui Li, Xiaodan Zhang, Yan Li, Yinchen Shen, Junwei Fang

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Leveraging IGOOSE-XGBoost for the Early Detection of Subclinical Mastitis in Dairy Cows by Rui Guo, Yongqiang Dai

“…A model based on the XGBoost algorithm, optimized with an Improved GOOSE Optimization Algorithm (IGOOSE), is presented in this work as an innovative approach for predicting subclinical mastitis in order to overcome these problems. …”
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Sensitivity and optimization study on heat transfer enhancement of MHD hybrid nanofluid radiative transient flow past a spinning surface with quadratic Boussinesq approximation and... by Thirupathi Thumma, Surender Ontela, Rupalaksmi Dharanikota

“…Employing the Finite Element Method (FEM) with the Galerkin weighted residual approach and linear approximation functions, the study explores the intricate interactions between these factors. To optimize and analyze the heat transfer rate, Response Surface Methodology (RSM) is combined with a Central Composite Design (CCD) model, providing a robust framework for both sensitivity and optimization analysis. …”
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Sustainability Meets AI: The Potential of Coupling Advanced Materials Science with Life Cycle Assessment for Industry Commons by Panagiotis Kolozis, Michalis Galatoulas, Anastasia Gkika, Elias Koumoulos

“…Optimization reduced environmental impacts by 15%. Recommendations include bio-based composites and renewable energy use to further lower environmental costs.…”
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Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections by Sherif Samy Sorour, Chahinaz Abdelrahman Saleh, Mostafa Shazly

“…This study demonstrates the potential of interpretable ML in structural engineering applications, particularly for hybrid composite-metal joints, where transparent models are essential for design optimization and predictive accuracy.…”
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Si-N doped eucalyptus biochar supported TiO2-ZnO (Si-N@EBC/3TiZn) as novel solar light responsive photocatalyst for enhanced degradation of cationic dye in aqueous solution by Adeyinka S. Yusuff, Lukman S. Mustapha, Khairia M. Al-Ahmary, Elham A. Alzahrani, Jamelah S. Al-Otaibi, Mazen R. Alrahili

“…A novel Si-N@EBC/3TiZn composite was developed, analyzed and utilized as a photocatalyst for methylene blue (MB) degradation. …”
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Calibration and Testing of Discrete Element Simulation Parameters for Ultrasonic Vibration-Cutter-Soil Interaction Model by Yang Qiao, Shenghai Huang, Chengyi Yang, Songlin Liu, Kailun Wang, Yunpeng Lu, Jiasheng Wang

“…This paper established an accurate discrete element for ultrasonic vibration-cutter-soil interaction model to study the interaction mechanism between the soil-engaging component and the soil. …”
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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. Implementation cost is treated as risk control expenditure, and strategy performance is assessed by integrating it with residual risk cost to identify the optimal strategy through composite cost analysis. …”
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Improving thermal state preparation of Sachdev–Ye–Kitaev model with reinforcement learning on quantum hardware by Akash Kundu

“…This paper addresses this challenge by integrating reinforcement learning (RL) with convolutional neural networks, employing an iterative approach to optimize the quantum circuit and its parameters. The refinement process is guided by a composite reward signal derived from entropy and the expectation values of the SYK Hamiltonian. …”
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YOLO-SRMX: A Lightweight Model for Real-Time Object Detection on Unmanned Aerial Vehicles by Shimin Weng, Han Wang, Jiashu Wang, Changming Xu, Ende Zhang

“…Furthermore, the lightweight GhostConv is incorporated to reduce model complexity. By synthesizing these principles, a novel composite receptive field lightweight convolution, DRFAConvP, is proposed to further optimize multi-scale feature fusion efficiency and promote model lightweighting. …”
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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

“…However, the technical challenges associated with the development of an in vitro model of such complex tissues include the difficulties of integrating tissues with diverse characteristics. …”
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Bioprinting of GelMA-Based Hydrogels to Aid in Creation of Biomimetic 3D Models for Glioblastoma by Kaitlyn Ann Rose Schroyer, Kylie Marie Schmitz, Gunjeeta Raheja, Bin Su, Justin D. Lathia, Liqun Ning

“…Subsequently, we refined and optimized the embedded bioprinting processes. The resulting 3D GBM models were structurally reliable and reproducible, featuring integrated inner channels and possessing tunable properties to emulate the characteristics of the GBM ECM. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

“…This research proposes deep residual transfer ensemble model for mRNA gene-expression based breast cancer detection. …”
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A decision support approach for sustainability management using multiple criteria decision making and statistical techniques by Ana B. Ruiz, Sandra González-Gallardo, Mariano Luque, Pedro M. Fernández-Rodero, Francisco Ruiz

“…A panel data structure for a set of indicators belonging to the three sustainability dimensions (economic, social, and environmental) is used for the countries considered to calculate composite indicators for the three dimensions, and then formulate a multiobjective optimization model to research how to improve each country’s sustainability situation. …”
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A Handheld IoT Vis/NIR Spectroscopic System to Assess the Soluble Solids Content of Wine Grapes by Xu Zhang, Ziquan Qin, Ruijie Zhao, Zhuojun Xie, Xuebing Bai

“…The results indicate that spectral data optimization methods are effective and essential for improving the performance of SSC prediction models. …”
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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

“…Based on the output of the structural equations of the initial research model, its validity has been confirmed and the prioritization of the components of the mentioned model has been determined by a radar diagram of the research 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

“…The C statistic assessed overall prediction power. The optimal composite score cut-off was determined by maximizing Youden's index. …”
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