Conversion Timing of Following-Up Thermal Recovery Approaches of Post-CHOP for Foamy Extraheavy Oil Reservoirs by Zhaopeng Yang, Xingmin Li, Yang Yu, Jia Xie, Yintao Dong

“…Based on the analysis of the experimental results, the compositional foamy oil model is established by taking the effect of temperature into consideration. …”
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Innovative approach to Pb (II) removal using zinc-based MOFs-derived carbon: In-depth analysis of adsorption mechanisms, isotherms, thermodynamics, and kinetics by Samira Ahmadzadeh, Alireza Hemmati

“…The experimental data were well-fitted to the Langmuir adsorption model, suggesting a maximum adsorption capacity of 1395.31 mg/g. …”
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Using artificial intelligence for enhancement of solar cell efficiency in the of Iraq by Ibtihal R. N. ALRubeei, Safa N. Idi, Ihab L. Hussein Alsammak, Haider Th. AlRikabi, Hussain A. Mutar, Abdul Hadi M. Alaidi

“…Research findings confirm that AI-based site selection procedures can boost solar energy cell performance throughout south Iraq. The model uses Random Forest machine learning to integrate diverse data types which enables site suitability prediction together with optimized outcomes in energy production and economic affordability. …”
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Using artificial intelligence for enhancement of solar cell efficiency in the of Iraq by Ibtihal R. N. ALRubeei, Safa N. Idi, Ihab L. Hussein Alsammak, Haider Th. AlRikabi, Hussain A. Mutar, Abdul Hadi M. Alaidi

“…Research findings confirm that AI-based site selection procedures can boost solar energy cell performance throughout south Iraq. The model uses Random Forest machine learning to integrate diverse data types which enables site suitability prediction together with optimized outcomes in energy production and economic affordability. …”
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A novel synergistic and eco-friendly approach for efficient crude oil removal from water using ZnO/g-C3N4/chitosan nanostructure and spirulina algae by Solat Gandomi Niyat, Fariba Zamani Hargalani, Mozhgan Emtyazjoo, Fatemeh Yazdian, Ali Mashinchian Moradi

“…Kinetic modeling favored the pseudo-first-order model, suggesting physical adsorption dominates. …”
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Interpretative TRANSP analysis of JET baseline scenario: performance dependence on plasma kinetic profiles by J. Lombardo, F. Auriemma, V.K. Zotta, L. Garzotti, G. Pucella, M. Baruzzo, D. Frigione, Z. Ghani, D. Keeling, P. Lomas, S. Menmuir, F.G. Rimini, D. Van Eester, JET Contributors, the EUROfusion Tokamak Exploitation Team

“…The study demonstrates that a comprehensive modelling approach, integrating impurity effects and main ion composition, is essential to accurately reproduce the experimental neutron yield. …”
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Research on mechanism and application of compound roof cutting and pressure relief control in thick sandstone roof mining roadways by Hainan Gao, Shankun Zhao, Yue Shi, Yunpeng Li, Kun Lv, Qiang Fu, Guanghui He, Weiguang Ren, Zhibin Zhou, Lei Chen, Haonan Li

“…Building upon this principle, the composite roof cutting and pressure-relief method was further formulated, accompanied by the development of a theoretical roof structure model elucidating its control mechanism. …”
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Machine learning-assisted design of immunomodulatory lipid nanoparticles for delivery of mRNA to repolarize hyperactivated microglia by Mehrnoosh Rafiei, Akbar Shojaei, Ying Chau

“…The MLP model was validated by predicting the performance of four unseen LNP formulations delivering eGFP mRNA to LPS-activated BV2 cells. …”
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The peritubular reinforcement effect of porous dentine microstructure. by Rong Wang, Lin Niu, Qun Li, Qida Liu, Hong Zuo

“…By optimizing the radius of PTD and dentine tubule (DT), the proposed FE model is able to demonstrate the effect of peritubular reinforcement on porous dentine stiffness. …”
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A 50THz Ultra-Wideband Nano-Photonics Perfect Absorber Biosensor for Label-Free Detection of Circulating Cancer Exosomes: Advancing Early Cancer Diagnostics by Musa N. Hamza, Mohammad Tariqul Islam, Sunil Lavadiya, Iftikhar ud Din, Bruno Sanches, Slawomir Koziel, Syeda Iffat Naqvi, Abinash Panda, Mohammad Alibakhshikenari, Bal Virdee, D. Mariyanayagam, R. Jayanthi, S. Fernando, Md. Shabiul Islam

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Mechanisms and pore properties of eco-friendly alkali-activated foam materials prepared with ilmenite tailings and metakaolin by Weiming Sun, Bin Ma, Yue Tang, Xuefeng Li, Xiaoli Li, Yusheng Zeng, Zuyin Zou

“…Furthermore, a fractal-based model was developed to predict the thermal conductivity of these porous composites based on their pore structure. …”
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Sodium alginate-based biochar gel spheres: synthesis, structural analysis, and ofloxacin adsorption efficiency by Qingrui Zhao, Hongpei Zhang, Xiaohui Zhao, Xiaodan Wang, Ke Zhang, Zheng Binguo, Songchao Wang, Baogui Wang, Fuzhi Guo, Yuqian Ma, Di Mao

“…Composite gel spheres (SA-BC) were prepared by using sodium alginate (SA) as a carrier and adding peanut shell biochar, and their preparation conditions were optimized to evaluate their effectiveness in removing the ofloxacin (OFX) from water. …”
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Deterministic Echo State Networks Based Stock Price Forecasting by Jingpei Dan, Wenbo Guo, Weiren Shi, Bin Fang, Tingping Zhang

“…Reservoir constructions in standard ESNs rely on trials and errors in real applications due to a series of randomized model building stages. A novel form of ESN with deterministically constructed reservoir is competitive with standard ESN by minimal complexity and possibility of optimizations for ESN specifications. …”
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Quantum chemical study on the interaction of carbon nanotube with polyethylene and polypropylene oligomers by M. I. Terets, E. M. Demianenko, S. V. Zhuravsky, O. A. Сhernyuk, V. S. Kuts, A. G. Grebenyuk, Yu. I. Sementsov, L. M. Kokhtych, M. T. Kartel

“…By method of density functional theory with the exchange-correlation functional B3LYP, the basis set 6-31G(d,p) and the Grimme dispersion correction, the energy values have been calculated of interaction between carbon nanotube fragments and oligomers of polyethylene and polypropylene, the most probable structures of their intermolecular complexes being optimized. A graphene-like plane of 40 carbon atoms and 16 atoms of hydrogen was chosen as a model for the outer surface of the multi-walled nanotubes (MWNT). …”
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Efficient BTMS for lithium-ion batteries: A study on PCM/Metal foam, heat pipe, and microchannel integration by Soheil Saeedipour, Ayat Gharehghani, Moeed Rabiei, Amin Mahmoudzadeh Andwari, Sadegh Mehranfar, Carlos Mico Reche, Navid Rabiei

“…The model's predictions are validated against experimental data, ensuring reliability and robustness. …”
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Relation between non-dietary cardiovascular health and costs associated with stroke in the US by Abraham M. Enyeji, Chioma Obi, Armarion Stegall, Jordan Davis, Roha Surani, Jayson Forbes, David L. Wetzell

“…Annual costs were assessed using a generalized linear model with a log link and gamma distribution, followed by a two-part model to account for the presence of both positive and zero costs across disaggregated healthcare categories. …”
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Synergistic effects of potassium-silicon-calcium mineral fertilizer combined with rice husk biochar on the immobilization of Cd and Pb in soil by Cheng-jie Zou, Ze-ming Shi, Na Zhang, Ying-hai Zhu, Lü-han Yang, Xin-yu Wang

“…The isothermal adsorption analyses depict that the mineral fertilizer follows the Langmuir model for Cd adsorption, while C700 conveys the Freundlich model for Pb adsorption. …”
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A Hierarchical Path Planning Framework of Plant Protection UAV Based on the Improved D3QN Algorithm and Remote Sensing Image by Haitao Fu, Zheng Li, Jian Lu, Weijian Zhang, Yuxuan Feng, Li Zhu, He Liu, Jian Li

“…Additionally, a dynamic energy consumption model and a progressive composite reward function are incorporated to further optimize UAV path planning in complex farmland conditions. …”
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Molecular dynamics-based explanation of the reinforcement geometry effects on CNT/graphene-reinforced Al0.3CoCrFeNi high-entropy alloys by Subrata Barman, Kritesh Kumar Gupta, Sudip Dey

“…The comparative analysis of the deformation mechanisms in the HEA–CNT S4 and HEA–Gr S4 configurations reveals notable differences in their plastic responses. While both models undergo plastic deformation during yielding, the HEA–CNT S4 model interestingly exhibits fewer and less intense shear bands, suggesting a delayed onset of plasticity. …”
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Machine learning for discrimination of phase‐change chalcogenide glasses by Qundao Xu, Meng Xu, Siqi Tang, Shaojie Yuan, Ming Xu, Wei Zhang, Xian‐Bin Li, Zhongrui Wang, Xiangshui Miao, Chengliang Wang, Matthias Wuttig

“…Leveraging the established structure–property relations in chalcogenide glasses, we select suitable features to train accurate machine learning models, even with a modestly sized dataset. The trained model accurately discerns the critical transition point between glass compositions suitable for use as ePCMs and those that are not, particularly for both GeTe–GeSe and Sb2Te3–Sb2Se3 materials, in line with experiments. …”
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