An improved underivatized, cost-effective, validated method for six short-chain fatty organic acids by high-performance liquid chromatography by Esther A. Olonimoyo, Naresh Kumar Amradi, Stephanie Lansing, Akua A. Asa-Awuku, Candice M. Duncan

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Influence of model selection on optimal control of traffic for emissions minimisation by Khatun E Zannat, Judith Y T Wang, David P Watling

“…The coupling of microscopic traffic simulation models with emission models offers a powerful tool for assessing and optimising traffic control strategies to reduce fuel consumption and vehicle emissions. …”
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Optimal Collision Energy for Higgs Precision Measurements at the ILC250 by Maria Andrea Siddharta, Tian Junping

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Mathematical Modeling of Tuberculosis Transmission Dynamics With Reinfection and Optimal Control by Francis Oketch Ochieng

“…Existing TB models often neglect seasonal variations, optimal control, and reinfection, limiting their accuracy in predicting disease dynamics. …”
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Production forecasting for normal pressure shale gas wells based on coupling of production decline method and LSTM model by HAN Kening, WANG Wei, FAN Dongyan, YAO Jun, LUO Fei, YANG Can

“…When the error of the decline model is large, the production prediction accuracy of shale gas wells is effectively improved after coupling the LSTM model but the effect is not obvious when the error of the decline model is small.…”
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Accurate modeling and simulation of the effect of bacterial growth on the pH of culture media using artificial intelligence approaches by Suleiman Ibrahim Mohammad, Hamza Abu Owida, Asokan Vasudevan, Suhas Ballal, Shaker Al-Hasnaawei, Subhashree Ray, Naveen Chandra Talniya, Aashna Sinha, Vatsal Jain, Ahmad Abumalek

“…A range of sophisticated artificial intelligence methods, including One-Dimensional Convolutional Neural Network (1D-CNN), Artificial Neural Networks (ANN), Decision Tree (DT), Ensemble Learning (EL), Adaptive Boosting (AdaBoost), Random Forest (RF), and Least Squares Support Vector Machine (LSSVM), were utilized to model and predict pH variations with high accuracy. The Coupled Simulated Annealing (CSA) algorithm was employed to optimize the hyperparameters of these models, enhancing their predictive performance. …”
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Experimental Study of a Broadband Vibration Energy Harvester Based on Orthogonal Magnetically Coupled Double Cantilever Beam by Yanhao Feng, Jianhua Wang, Xiangye Chen, Peng Liu

“…In the frequency range of 5–20 Hz, the system can effectively capture higher effective voltages across all frequency bands, with a total captured voltage value of approximately 15.3 V. …”
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A Cooperative Planning Method for Multi-Type Charging Pile Station Based on Vehicle-Road-Network Coupling by XU Tingting, LONG Yi, HU Xiaorui, LI Shun, QIN Tianxi, ZHANG Qian

“…The results indicated that the planning solution considering SCP， FCP， UCP， and MCP was optimal. Notably， the integration of MCPs provided an effective emergency response during peak charging demand periods and reduced the overall planning cost by 17.82%.…”
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Experimental study on nonlinear hygroscopic and strength behavior of mudstone under coupled temperature and humidity conditions for underground engineering by Weisheng Zhao, Lijun Han, Shuai Yan, Wei He

“…This study investigated the hygroscopic behavior of mudstone under coupled temperature and humidity conditions and its effect on mechanical properties through hygroscopicity experiments and uniaxial compression tests. …”
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Surface Integrity and Machining Mechanism of Al 7050 Induced by Multi-Physical Field Coupling in High-Speed Machining by Wei Lu, Chenbing Ni, Youqiang Wang, Chengguo Zong, Dejian Liu, Xingbao Huang

“…The crystallographic texture types on machined subsurface are mainly {110}<112> Brass texture, {001}<100> Cube texture, {123}<634> S texture and {124}<112> R texture, and the crystallographic texture type and intensity are significantly affected by multi-physical field coupling. The elastic–plastic deformation and microstructural evolution of Al7050 alloy during the HSM process are mainly influenced by the coupling effects of multiple physical fields (stress–strain field and thermo-mechanical coupling field). …”
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Performance simulation of L-shaped heat pipe and air coupled cooling process for ternary lithium battery module by Shengshi Wang, Tianshi Zhang, Qing Gao, Zhiwu Han, Haizhen Huang, Jingyu Yao

“…Focusing upon thermal behaviour properties of the 8S1P battery module at different discharge rates, we investigate and optimize the thermal management efficiency of L-shaped heat pipes coupled with air cooling. …”
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Design and Numerical Simulation of a Device for Film–Soil Vibrating Conveying and Separation Based on DEM–MBD Coupling by Shilong Shen, Jiaxi Zhang, Hu Zhang, Yongxin Jiang, Xin Zhou, Yichao Wang, Xuanfeng Liu, Haichun Zhang

“…Field validation tests using the optimal parameter combination yielded relative errors of 3.43% and 5.51%, respectively, demonstrating effective film–soil separation. …”
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Impact Assessment of Coupling Mode of Hydrological Model and Machine Learning Model on Runoff Simulation: A Case of Washington by Junqi Zhang, Jing Li, Huiyizhe Zhao, Wen Wang, Na Lv, Bowen Zhang, Yue Liu, Xinyu Yang, Mengjing Guo, Yuhao Dong

“…The results indicate that the runoff modeling capabilities of both combination methods were improved compared to individual models, with the combined forecasting model for dynamic prediction effectiveness (DPE) demonstrating the optimal modeling capability. …”
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Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning models by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

“…Stepwise Regression Analysis (SRA) was employed to effectively handle high-dimensional data and multicollinearity, ensuring that only the most influential predictive variables were retained. …”
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Coupling Marxan and InVEST Models to Identify Ecological Protection Areas: A Case Study of Anhui Province by Xinmu Zhang, Xinran Zhang, Lei Zhang, Kangkang Gu, Xinchen Gu

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Research of the Optimizing of Urban Bus Drive Axle by Zhou Chi, Wang Tie, Liu Yaqiong, Liu Baoqian, Chen Haoli

“…The vibration of an urban bus is abnormal during the process of driving,the reason may be that the drive axle is the resonance of drive axle.Through the method of modal test and finite element analysis,the intrinsic mode characteristic of drive axle are obtained,and comparing with the excitation frequency that may caused the drive axle resonance,found that the main reduction gear meshing frequency and the drive axle low order natural frequency are coupling when the engine and transmission in common use.By using finite element method,taking improving the low natural frequency of drive axle as the target,the mass and strength as the constraints condition,the optimization design is conducted.The result is that the improvement of drive axle dynamic characteristic is obviously,the meshing frequency of main reduction gear is effectively avoided.…”
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Semi-analytical BEM-FEM analysis of SDCM wall as passive wave barrier in saturated soil by Xiang Zhu, Gang Shi, Xinjun Gao, Hao Zhang, Song Wang, Guangyun Gao

“…Further, a three-dimensional coupled semi-analytical BEM-FEM model was developed to analyze the passive vibration isolation effectiveness of SDCM walls against incident Rayleigh waves in saturated soil. …”
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Quantum resources for a system of two atoms interacting with a deformed field in the presence of intensity-dependent coupling by Abdel-Khalek Sayed, Algarni Mariam, Berrada Kamal

“…By varying the parity deformation parameter and incorporating the effects of intensity-dependent coupling, we examine the time evolution of key quantum phenomena. …”
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Coupling regulation of water and fertilizer in cold farmland of Harbin, Heilongjiang, China, based on resource-benefit-environment synergy by Yingshan Chen, Yaowen Xu, Aizheng Yang, Qiang Fu, Dong Liu, Mo Li

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Interfacial coupling heterostructure between transition metal oxide and calcium oxide with excellent sunlight-driven photocatalytic activity by Thanit Tangcharoen

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