A highly annotated drug combination resource for catalyzing precision combinatorial therapy by Tianyi You, Lili Wang, Jianhua Wang, Dongqing Xu, Xinran Xu, Nan Li, Mulin Jun Li, Haitao Wang, Xiaobao Dong

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Accelerating materials discovery: combinatorial synthesis, high-throughput characterization, and computational advances by Khurram Shahzad, Andrei Ionut Mardare, Achim Walter Hassel

“…Extensive exploration has been undertaken into three pivotal approaches: combinatorial synthesis, high-throughput characterization, and computational techniques, all aimed at unveiling new materials. …”
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Combinatorial activation of the WNT‐dependent fibrogenic program by distinct complement subunits in dystrophic muscle by Francesca Florio, Sara Vencato, Filomena T Papa, Michela Libergoli, Eyemen Kheir, Imen Ghzaiel, Thomas A Rando, Yvan Torrente, Stefano Biressi

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Middle School Classroom Furniture Evaluation Model Based on Combinatorial Weighting of Game Theory by Yu Liang, Yihui Yan, Huiyuan Guan

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An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems by Marwa M. Emam, Mohammed R. Saad, Mina Younan, Essam H. Houssein

“…EDO-LFOL enhances EDO by integrating the Levy flight (LF) strategy during the intensification phase and utilizing the orthogonal learning (OL) approach after the end of the optimization cycle. …”
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ADVCSO: Adaptive Dynamically Enhanced Variant of Chicken Swarm Optimization for Combinatorial Optimization Problems by Kunwei Wu, Liangshun Wang, Mingming Liu

“…The proposed algorithm demonstrates an exceptional performance in combinatorial optimization and holds a significant engineering application value.…”
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Combinatorial metabolic engineering of Yarrowia lipolytica for high-level production of the plant-derived diterpenoid sclareol by Jiang Chen, Longzheng Huang, Bang-Ce Ye, Ying Zhou

“…Results In this study, we engineered Yarrowia lipolytica to produce sclareol by integrating genes encoding (13E)-8α-hydroxylabden-15-yl diphosphate synthase (LPPS) and sclareol synthase (SCS). …”
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Reinforcement Learning-Based Formulations With Hamiltonian-Inspired Loss Functions for Combinatorial Optimization Over Graphs by Redwan Ahmed Rizvee, Raheeb Hassan, Md. Mosaddek Khan

“…Quadratic Unconstrained Binary Optimization (QUBO) is a versatile approach used to represent a wide range of NP-hard Combinatorial Optimization (CO) problems through binary variables. …”
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Exploring the Correlation Between Interatomic Bonding and Corrosion Resistance of Metallic Alloys via Combinatorial Method by Liwei Hu, Fucheng Li, Weijie Xie, Chao Wang, Mingxing Li, Gang Wang, Yanhui Liu

“…Abstract Developing metallic alloys with excellent corrosion resistance is of great significance for ensuring the long‐term integrity and reliability of materials in various demanding environments, thereby extending their service life and reducing maintenance costs. …”
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Generating combinatorial diversity via engineered V(D)J-like recombination in Saccharomyces cerevisiae by Andrew P. Cazier, Jaewoo Son, Sreenivas Yellayi, Lizmarie S. Chavez, Caden Young, Olivia M. Irvin, Hannah Abraham, Saachi Dalvi, John Blazeck

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Numerical Analysis of Digital Twin System Modeling Methods Aided by Graph-Theoretic Combinatorial Optimization by Sujing Zhou

“…This paper combines the digital twin system modeling method to conduct an in-depth study and analysis of graph-theoretic combinatorial optimization. This paper provides new ideas and approaches for optimal numerical analysis work by studying the digital twin modeling method that integrates digital modeling and graph theory combination, provides theoretical support for safe, stable, and economic operation of the system, proposes a solution for digital twin model based on big data platform, focuses on the nearest neighbor propagation (AP) and graph theory combination, solves the digital twin real-time monitoring data asynchronous, incomplete problem, and applies the algorithm to the digital twin model based on the big data platform for data preprocessing to achieve better results. …”
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Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics by Kassem Danach, Hassan Harb, Louai Saker, Ali Raad

“…In this context, we propose a novel Quantum-Inspired Hyperheuristic Framework (QHHF) designed to solve Dynamic Multi-Objective Combinatorial Optimization Problems (DMOCOPs) arising in disaster relief operations. …”
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Combinatory Flowcytometric Approach in Pediatric Acute Lymphoid Leukemia Identifies Surrogate Minimal Residual Disease Markers by Noreen Grace George, Bhavika Rishi, Sanghmitra Ray, Manpreet Kaur, Raj Kamal, Shikha Garg, Sumit Mehndiratta, Nidhi Chopra, Shamsuz Zaman, Amitabh Singh, Aroonima Misra

“…Cytogenetic and molecular profiling were integrated to evaluate the association between genetic abnormalities and MRD positivity. …”
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Identifying and exploiting combinatorial synthetic lethality by characterizing adaptive kinome rewiring of EGFRvIII-driven glioblastoma by Benjamin Lin, Abigail K. Shelton, Erin Smithberger, Julia Ziebro, Kasey R. Skinner, Ryan E. Bash, Richard Kirkman, Allie Stamper, Madison Butler, Alex Flores, Steven P. Angus, Michael P. East, Timothy F. Cloughesy, David A. Nathanson, Michael E. Berens, Jann N. Sarkaria, Zev A. Binder, Donald M. O’Rourke, Timothy C. Howton, Brittany N. Lasseigne, Christopher D. Willey, Gary L. Johnson, Anita B. Hjelmeland, Frank B. Furnari, C. Ryan Miller

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Fatigue-Aware Sub-Second Combinatorial Auctions for Dynamic Cycle Allocation in Human–Robot Collaborative Assembly by Claudio Urrea

“…Unlike prior auction-based or reinforcement learning approaches, our model uniquely integrates a sub-second ergonomic adaptation with a mathematically interpretable utility structure, ensuring both human-centered responsiveness and system-level transparency.…”
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Multi-objective combinatorial methodology for nuclear reactor site assessment: A case study for the United States by Omer Erdem, Kevin Daley, Gabrielle Hoelzle, Majdi I. Radaideh

“…This study introduces a novel multi-objective optimization methodology, leveraging combinatorial search to evaluate over 30,000 potential NPP sites in the United States. …”
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Combinatorial treatment with upadacitinib abrogates systemic toxicity of a tumor-targeted IL-2 fusion protein by Francesco Prisco, Dario Neri, Emanuele Puca, Eleonora Prodi, Cornelia Halin, Giulia Rotta, Ettore Gilardoni, Frauke Seehusen, Matilde Bocci, Claudia Comacchio, Sheila Dakhel Plaza

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Light-cured millineedle platform delivers “nano-pomegranate” for combinatorial electrodynamic therapy and cuproptosis against oral carcinoma by Guoyun Wan, Jiayu Chen, Yingying Zhou, Lina Dou, Dongmei Wang, Nannan Wang, Hongli Chen, Haijiao Wang, Xianwen Wang, Zhijun Yang, Dan Ding

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LOMS.cz computational platform for high-throughput classical and combinatorial Judd-Ofelt analysis and rare-earth spectroscopy by Jan Hrabovsky, Petr Varak, Robin Krystufek

“…Despite JO theory’s six-decade history as the fundamental framework for understanding $$4f\leftrightarrow 4f$$ transitions, the field lacks standardized computational methodologies for precise and reproducible parameter determination. LOMS integrates three key innovations: (1) automated computation of JO parameters, transition probabilities, branching ratios, and theoretical radiative lifetimes, (2) a dynamically expanding database of experimentally validated parameters enabling direct comparison between computed and empirical results, and (3) a novel Combinatorial JO (C-JO) analysis algorithm that systematically identifies optimal absorption band combinations to ensure reliable parameter extraction. …”
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Combinatorial mutagenesis and fermentation optimization biotechnologies synergistically enhance monacolin K content in functional red yeast rice by Zhengyan Wu, Chan Zhang, Qing Liu, Song Zhang, Qi Yang, Jun Liu, Dong Lu, Xiang Zhou

“…Its functional component, Monacolin K (MK), has the same structure as lovastatin and can effectively inhibit HMG-CoA reductase, thereby reducing serum cholesterol.MethodsA combinatorial mutagenesis strategy integrating atmospheric room-temperature plasma and heavy-ion radiation was employed to generate mutant strains. …”
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