Luffa–Ni/Al layered double hydroxide bio-nanocomposite for efficient ibuprofen removal from aqueous solution: Kinetic, equilibrium, thermodynamic studies and GEP modeling by Soheil Tavassoli, Afsaneh Mollahosseini, Saeed Damiri, Mehrshad Samadi

“…Moreover, the Elovich kinetic model proved to be the most precise in describing how ibuprofen adheres to the modified luffa, showing a very tight fit with the data (R2 = 0.993). …”
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The laser initiation of energetic materials doped with metal nanoparticles having oxide shell explosive decomposition by А.В. Каленский, А.А. Звеков, А.П. Боровикова, Е.В. Галкина, П.О. Винодиктов

“… The work is devoted to the development of the model describing laser initiation composite materials being an explosive matrix with metal nanoparticles covered with oxide shell. …”
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Simulations and performance analysis of CH3NH3SnI3 perovskite solar cell: Modeling thickness and temperature effects using SCAPS-1D by Samra Imran, Mamoona Khalid

“…In this paper, we implemented a novel solar cell design on SCAPS-1D, having an optimized parameter composition of FTO/TiO2/CH3NH3SnI3/CuI/Au. …”
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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Given the instability and high volatility of wind power generation, this study proposes a short-term wind power prediction method based on BWO‒VMD and TCN‒BiGRU to improve the accuracy of wind power prediction and better support the energy transition under the “dual carbon” strategy.MethodsA short-term wind power generation prediction model based on the beluga whale optimization (BWO) algorithm, variational mode de-composition (VMD), temporal convolutional network (TCN), and bidirectional gated recurrent unit (BiGRU) was carefully proposed to improve the prediction accuracy of wind power generation, particularly considering its inherent instability and high volatility. …”
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Nanoscale heat transport analysis of magnetized trihybrid nanofluid over wedge artery: Keller box and finite element scheme combination by Maalee Almheidat, Mohammad Alqudah, Basma Souayeh, Nguyen Minh Tuan, Shabbir Ahmad, Khadijah M. Abualnaja

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Assessment of Changes in Toll Fares in Conditions of Increased Traffic Load by A. U. Talavirya, M. B. Laskin

“…Analysis of the data obtained from the simulated model experiments was carried out using the statistical package R. …”
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Development and techno-functional characterization of gluten-free flour from rice, Cardaba banana, and pigeon-pea by Oluwadamilare Adedeji Adewole, Olusola Samuel Jolayemi, Helen Nwakego Ayo-Omogie, Adebanjo Ayobamidele Badejo

“…Using 12-runs optimal mixture experimental design, 5 composite blends containing varying percentage of rice, Cardaba banana and pigeon pea flours were chosen based on dietary fiber. …”
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Prediction method of oil-water interface between injection and production wells in fault-controlled fractured-cavity reservoirs by WANG Yuanzheng, CAO Renyi, JIA Pin

“…The proposed model provides a theoretical foundation and methodology for early warning of water breakthrough, optimization of injection and recovery parameters, and formulation of countermeasures for residual oil recovery in fault-controlled fracture-vuggy reservoirs.…”
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Multi-fault diagnosis and damage assessment of rolling bearings based on IDBO-VMD and CNN-BiLSTM by Lihai Chen, Xiaolong Bai, Yonghui He, Dong Jia, Yican Li, Zhenshui Li

“…The HUST dataset is used to discuss the application of signal processing methods and neural network models in bearing composite fault diagnosis. The advantages of the proposed scheme in bearing composite fault and damage assessment are verified, effectively solving the challenge of rolling bearing composite fault diagnosis.…”
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MHD couple stress boundary-layer flow with heat and mass transfer under thermal radiation and Marangoni effect: A numerical study by Jawali C. Umavathi, Bernardo Buonomo, Oronzio Manca, Mikhail A. Sheremet

“…Utilizing the Response Surface Methodology, the face-centered Central Composite Design is used as the foundation for the optimization process. …”
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Low-cycle fatigue life prediction method for stud connectors based on interpretable machine learning by Jianan Pan, Xiaoling Liu, Bing Wang, Ying Liu

“…Secondly, the predictive performance of nine machine learning models was compared by combining cross-validation and hyperparameter optimization. …”
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The prediction of the effects of non-isothermal molding/reprocessing on the crystallinity and mechanical properties of PEEK and CF/PEEK by Pingping Xiong, Yangwei Zhou, Laishui Zhou, Zhenchao Qi

“…The error of all theoretical calculated values from the prediction models falls within 11.03%, and the crystallinity of the resin can be directly used to predict the mechanical properties of the composites.…”
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Predicting Index Trend Using Hybrid Neural Networks with a Focus on Multi-Scale Temporal Feature Extraction in the Tehran Stock Exchange by Mohammad Osoolian, Ali Nikmaram, Mahdi Karimi

“…Moreover, to further enhance the performance and resilience of the model, sophisticated feature engineering methodologies are implemented to optimize its overall functionality. …”
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Methodology for generating chorioallantoic membrane patient-derived xenograft (CAM-PDX) models of pleural mesothelioma and performing preclinical imaging for the translation of can... by Judy M Coulson, Joseph J Sacco, Michael Shackcloth, Alexander Haragan, Doris M Rassl, Harish Poptani, Anne Herrmann, Liam Shaw, Sarah Barnett, Jan Schulze

“…Fertilized hens’ eggs provide a rapid and cost-effective alternative to murine models of pleural mesothelioma which are commonly used in preclinical studies, with chorioallantoic membrane (CAM) xenografts being a partial replacement for mouse flank xenografts. …”
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Methodology for generating chorioallantoic membrane patient-derived xenograft (CAM-PDX) models of pleural mesothelioma and performing preclinical imaging for the translation of can... by Judy M Coulson, Joseph J Sacco, Michael Shackcloth, Alexander Haragan, Doris M Rassl, Harish Poptani, Anne Herrmann, Liam Shaw, Sarah Barnett, Jan Schulze

“…Fertilized hens’ eggs provide a rapid and cost-effective alternative to murine models of pleural mesothelioma which are commonly used in preclinical studies, with chorioallantoic membrane (CAM) xenografts being a partial replacement for mouse flank xenografts. …”
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Biodegradation of plasticizers by novel strains of bacteria isolated from plastic waste near Juhu Beach, Mumbai, India by Khushboo Sharma, Anuraj Nayarisseri, Sanjeev Kumar Singh

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FORECAST OF BENDING FATIGUE LIFE FOR GEARS CONSIDERING THE INFLUENCE OF RESIDUAL STRESS AND HARDNESS by ZHAO Pengbo, CHEN Yong, YOU Hui, ZHOU Xingyun, LI Guangxin, WU Yimin, LIU Xianghuan

“…In order to study the influence of residual stress and hardness on bending fatigue performance of gear, the 20MnCrS5 steel gear with carburizing heat treatment was taken as the research object, and composite small diameter shot peening strengthening treatment was carried out to realize the gear with different hardness and residual stress states of the same material.Based on the maximum principal strain criterion, incorporating separate factors for residual stress influence and residual stress-hardness coupling influence were introduced respectively to establish the fatigue life prediction model.Through shot-peened gear bending fatigue tests, optimal values for both the residual stress influence coefficient and correction coefficient were determined.The two models’ accuracy for life prediction was contrasted, and the accuracy of these models was further verified through unshot peened gear bending fatigue test.The results show that considering only residual stress influence yielded an optimal value of 0.09 for the residual stress influence coefficient, the model achieving high life predictive accuracy.Whereas considering the effects of residual stresses and hardness, it requires a correction coefficient with an optimal value of 0.04, the model achieve even higher predictive accuracy.…”
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A MATHEMATICAL APPROACH TO INVESTMENT WITH CHARGE ON BALANCE AND VOLUNTARY CONTRIBUTIONS UNDER WEIBULL MORTALITY FORCE FUNCTION by Edikan Edem Akpanibah, Peter Benneth, Ase Matthias Esabai

“…To achieve this, there is need to develop an optimal portfolio which considers the volatility of the stock market price consisting of one risk-free asset and a risky asset which follows the Heston volatility model (HVM). …”
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Unlocking the potential of sugarcane bagasse: a comprehensive analysis for advanced energy conversion by Nestor Proenza Pérez, Javier Alejandro Rodríguez Travieso, Elbis D´Espaux Shelton, Daniel Travieso Pedroso, Einara Blanco Machin, Celso Eduardo Tuna, José Luz Silveira

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Impact of side-by-side twin tunneling with various tunnel-pile clearances on pile group responses under a fluid-solid coupling effect by Tianhua Wu, Yongtao Gao, Changfu Huang, Yu Zhou, Jianwang Li, Wenrui Qi

“…This study establishes multiple 3D nonlinear FDM models with fluid-solid coupling to investigate how tunnel–pile clearances (Hc) affect the mechanical response of low-cap pile groups (2 ×2) during side-by-side twin tunneling in composite strata. …”
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