Microbial Fermentation Assisted by Pulsed Electric Fields, Magnetic Fields and Cold Atmospheric Plasma: State of the Art by Nahed Yousfi, Nofel Merbahi, Jalloul Bouajila, Patricia Taillandier, Mohamed Debouba

“…Most recent research studies are currently devoted to the implementation of innovative technological processes in order to increase fermentation effectiveness while consuming less energy and processing time. …”
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Inversion algorithm of black carbon mixing state based on machine learning by Z. Tian, Z. Tian, J. Wang, J. Wang, J. Wang, J. Wang, C. Liu, C. Liu, J. Xing, J. Wang, J. Wang, Z. Zhang, Z. Zhang, Y. Jin, Y. Jin, S. Shen, S. Shen, B. Wang, B. Wang, W. Nie, W. Nie, X. Huang, X. Huang, A. Ding, A. Ding

“…Since the SP2 records individual particle signals, it requires complex data processing to convert raw signals into particle size and mixing states. …”
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Experience and needs of stroke patients in physical rehabilitation: a systematic review and meta-synthesis by Xueting Sun, Yage Shi, ChenJun Liu, Shuaiyou Wang, Dingding Li, Xinyi Zhu, Kun Pan, Hongru Wang, Huimin Zhang

“…However, owing to the complexity of the stroke rehabilitation process and the limited knowledge of patients, patients are often confused and uncertain in the rehabilitation process, which in turn affects their compliance and hinders their rehabilitation process. …”
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Hierarchical Reinforcement Learning for Multi-Layer Multi-Service Non-Terrestrial Vehicular Edge Computing by Swapnil Sadashiv Shinde, Daniele Tarchi

“…Next, we model the latency and energy requirements for processing the VU tasks through partial computation offloading operations. …”
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Research on the Simulation Model of Dynamic Shape for Forest Fire Burned Area Based on Grid Paths from Satellite Remote Sensing Images by Xintao Ling, Gui Zhang, Ying Zheng, Huashun Xiao, Yongke Yang, Fang Zhou, Xin Wu

“…Accurately simulating and predicting this dynamic process can provide a scientific basis for forest fire control and suppression decisions. …”
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Application of Compost as an Organic Amendment for Enhancing Soil Quality and Sweet Basil (<i>Ocimum basilicum</i> L.) Growth: Agronomic and Ecotoxicological Evaluation by Majda Oueld Lhaj, Rachid Moussadek, Latifa Mouhir, Hatim Sanad, Khadija Manhou, Oumaima Iben Halima, Hasna Yachou, Abdelmjid Zouahri, Meriem Mdarhri Alaoui

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Synergistic effect of biochar and post-thermophilic stage application of supplemental Tithonia diversifolia on compost nutrient dynamics by Felix Matheri, Collins Musafiri, David Bautze, Chloé Durot, Milka Kiboi

“…We observed the highest nitrogen and organic carbon levels in BT (1.59% and 24.9%, respectively) at the end of the composting process. Our study recommends applying nutrient-boosting materials such as Tithonia diversifolia, in the post-thermophilic stage to minimize nutrient losses during composting.…”
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XGBoost models based on non imaging features for the prediction of mild cognitive impairment in older adults by Miguel A. Fernández-Blázquez, José M. Ruiz-Sánchez de León, Rubén Sanz-Blasco, Emilio Verche, Marina Ávila-Villanueva, María José Gil-Moreno, Mercedes Montenegro-Peña, Carmen Terrón, Cristina Fernández-García, Jaime Gómez-Ramírez

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Modulation of gut microbiota by probiotics to improve the efficacy of immunotherapy in hepatocellular carcinoma by Ping Chen, Chengchen Yang, Ke Ren, Mingzhi Xu, Chenwei Pan, Xuewei Ye, Xuewei Ye, Lanjuan Li, Lanjuan Li

“…Probiotics play a vital role in promoting health and preventing diseases by modulating metabolic processes, inflammation and immune responses. Research indicates that they are instrumental in boosting antitumor immune responses through the modulation of gut microbiota. …”
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Single Cu Atoms Anchored Energetic COFs as Combustion Catalytic Promoters toward Rapid and Concentrated Thermal Decomposition of Ammonium Perchlorate by Meng Zhang, Shan Wang, Xu‐Yang Wang, Zhi‐Peng Wu, Bai‐Suo Ding, Li Yang, Wen‐Chao Tong, Qinglang Ma, Qian‐You Wang

“…Abstract Achieving a synergistic, rapid, and concentrated energy release process of ammonium perchlorate (AP) is of vital significance for boosting the thrust of composite solid propellants. …”
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Exploring the design and contributions of urban agroecosystem living labs for sustainable city development by Diego Alejandro Riaño-Herrera, Felipe Romero-Perdomo, Juanita Quintero-Castro, Alejandra García-Sánchez, Leonardo Rodríguez-Urrego

“…Living Labs are open innovation ecosystems within real-life settings, designed to address societal challenges through iterative feedback processes. In the context of promoting sustainable cities, the Urban Agroecosystem Living Labs (UALLs) has garnered increasing attention. …”
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Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete by Waleed Bin Inqiad, Muhammad Faisal Javed, Deema Mohammed Alsekait, Naseer Muhammad Khan, Majid Khan, Fahid Aslam, Diaa Salama Abd Elminaam

“…Thus, to speed up the process of accurately determining these concrete properties, this study tends to use four machine learning (ML) algorithms including Random Forest Regression (RFR), Gene Expression Programming (GEP), K-nearest Neighbor (KNN), Extreme Gradient Boosting (XGB) and a statistical technique Multi Linear Regression (MLR) to develop predictive models for plastic viscosity and interface yield stress of concrete. …”
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Machine learning and response surface methodology forecasting comparison for improved spray dry scrubber performance with brine sludge-derived sorbent by B.J. Chepkonga, L. Koech, R.S. Makomere, H.L. Rutto

“…A quadratic model correlating the process variables with desulfurization efficiency was developed, yielding an R-squared value of 93.47%. …”
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Estimating and Downscaling ESA-CCI Soil Moisture Using Multi-Source Remote Sensing Images and Stacking-Based Ensemble Learning Algorithms in the Shandian River Basin, China by Liguo Wang, Ya Gao

“…We also employ the Categorical Features Gradient Boosting (CatBoost) algorithm, a single model, for analytical evaluation in identical circumstances. …”
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Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete by Ala’a R. Al-Shamasneh, Arsalan Mahmoodzadeh, Faten Khalid Karim, Taoufik Saidani, Abdulaziz Alghamdi, Jasim Alnahas, Mohammed Sulaiman

“…Six advanced regression-based algorithms, including support vector regression (SVR), Gaussian process regression (GPR), random forest regression (RFR), extreme gradient boosting regression (XGBR), artificial neural networks (ANN), and K-nearest neighbors (KNN), were benchmarked through rigorous model validation processes including hold-out testing, K-fold cross-validation, sensitivity analysis, and external validation with unseen experimental data. …”
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Predicting Emergency Severity Index (ESI) level, hospital admission, and admitting ward in an emergency department using data-driven machine learning by Steve Agius, Vincent Cassar, Caroline Magri, Wasiq Khan, Dhiya Al-Jumeily Obe, Godwin Caruana, Luke Topham

“…This enhanced description provides a clear roadmap of the model development process, reinforcing the study’s rigor and contribution to advancing machine learning applications in emergency care. …”
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DyTAM: Accelerating Wind Turbine Inspections with Dynamic UAV Trajectory Adaptation by Serhii Svystun, Lukasz Scislo, Marcin Pawlik, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko

“…By integrating advanced path models (spiral, helical, and offset-line) with robust optical sensing, the DyTAM-based system streamlines the inspection process and ensures high-quality data capture. The dynamic adaptation is achieved through a closed-loop control system where real-time visual data from the UAV’s camera is continuously processed to update the flight trajectory on the fly, ensuring optimal inspection angles and distances are maintained regardless of blade position or external disturbances. …”
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Evaluating machine learning models comprehensively for predicting maximum power from photovoltaic systems by Samir A. Hamad, Mohamed A. Ghalib, Amr Munshi, Majid Alotaibi, Mostafa A. Ebied

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KDM1A epigenetically enhances RAD51 expression to suppress the STING-associated anti-tumor immunity in esophageal squamous cell carcinoma by Qingyuan Yang, Shiyin Wei, Cen Qiu, Chenjie Han, Zunguo Du, Ning Wu

“…Recently, it has emerged as a promising target for stimulating anti-tumor immunity, specifically boosting T cell activity. However, it remains unclear whether and how it remodels the tumor microenvironment to drive oncogenic processes in esophageal squamous cell carcinoma (ESCC). …”
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Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions by Shujun Wu, Zengchuan Dong, Sandra M. Guzmán, Gregory Conde, Wenzhuo Wang, Shengnan Zhu, Yiqing Shao, Jinyu Meng

“…This study demonstrates the efficacy of the proposed two-step hybrid model for simulating physical runoff processes in the headwater region of the YRB, providing valuable insights for regional hydrological cycle research and hydro-ecological security.…”
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