Analysis of Farmers’ Crop Rotation Intention and Behavior Using Structural Equation Modeling: Evidence from Heilongjiang Province, China by Rui Zhang, Guoming Du, Bonoua Faye, Haijiao Liu

“…These measures are essential to boosting farmers’ motivation and increasing the adoption of crop rotation in the region.…”
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All-Trans Retinoic Acid Improves the Effects of Bone Marrow-Derived Mesenchymal Stem Cells on the Treatment of Ankylosing Spondylitis: An In Vitro Study by Deng Li, Peng Wang, Yuxi Li, Zhongyu Xie, Le Wang, Hongjun Su, Wen Deng, Yanfeng Wu, Huiyong Shen

“…ATRA-pretreated MSCs significantly decreased not only the vital pathogenic cytokine in AS, tumor necrosis factor-α (TNF-α), but also AS-boosting factors interleukin-17 (IL-17A) and interferon-γ (IFN-γ). …”
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Artificial intelligence based prediction and multi-objective RSM optimization of tectona grandis biodiesel with Elaeocarpus Ganitrus by V Vinoth Kannan, Bhavesh Kanabar, J Gowrishankar, Ali Khatibi., Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Pushparaj Thomai, Jasmina Lozanović

“…Advanced Machine Learning (ML) models, including Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), Extreme Gradient Boosting (XGB), and Random Trees (RT), were employed for predictive analysis, with ANN outperforming RSM in accuracy. …”
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Does the household clean energy transition benefit the mental health of the elderly in rural China? Evidence from China health and retirement longitudinal study by Hengxing Yin, Ling Han, Li Yan, Chenhao Liu

“…The policy also significantly boosted the proportion of households using clean cooking fuels by 5.8%. …”
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Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks by Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, MooHyun Kim

“…In addition, comparisons against other machine learning (ML) methods—such as Support Vector Machines, Random Forest, Gradient Boosting, and Ridge Regression—demonstrate the present ANN model’s superior ability to capture intricate nonlinear interdependencies between vessel motions and environmental conditions.…”
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Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…By incorporating a maximum entropy approach, it enhances the robustness of conventional deep reinforcement learning and integrates dominance learning to refine Soft Actor-Critic’s Q-value function update, mitigating overestimation issues and boosting algorithmic performance. In addition, transfer learning is utilized to bolster the agents’ learning efficacy and adaptability to new conditions. …”
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Integrating Modern Technologies into Traditional Anterior Cruciate Ligament Tissue Engineering by Aris Sopilidis, Vasileios Stamatopoulos, Vasileios Giannatos, Georgios Taraviras, Andreas Panagopoulos, Stavros Taraviras

“…Although ACL reconstruction boasts a high success rate, patients may face different, serious post-operative complications, depending on the type of graft and technique used in each one of them. …”
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Digital Leadership Enhances Employee Empowerment, Techno-work Engagement, and Sustainability: SEM Analysis in Public Healthcare by Ali Nawaz Khan PhD, Yumei Wang MN, Naseer Abbas Khan PhD, Ali Ahmad PhD

“…The findings demonstrate that digital leadership enhances employee empowerment, which in turn boosts techno-work engagement and sustainability performance in the public healthcare sector. …”
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Single-Frame Infrared Small Target Detection Network Based on Multibranch Feature Aggregation by Ziqiang Hao, Zheng Jiang, Xiaoyu Xu, Zhuohao Wang, Zhicheng Sun

“…Furthermore, we introduce a differential correction module that corrects erroneous target features through differential methods, significantly boosting detection accuracy. Lastly, we develop a joint attention module that combines channel and spatial attention mechanisms, enabling the network to accurately localize and reconstruct small targets. …”
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Electrosynthesis of NH3 from NO with ampere-level current density in a pressurized electrolyzer by Wenqiang Yang, Huan Liu, Xiaoxia Chang, Yunlong Zhang, Yafeng Cai, Yifan Li, Yi Cui, Bingjun Xu, Liang Yu, Xiaoju Cui, Dehui Deng

“…Integrating the Cu nanowire array monolithic electrode with pressurized electrolyzer boosts the NH3 production rate to 10.5 mmol h–1 cm–2, which is over tenfold that using commercial Cu foam at 1 atm. …”
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Adaptive decentralized AI scheme for signal recognition of distributed sensor systems by Shixiong Zhang, Hao Li, Cunzheng Fan, Zhichao Zeng, Chao Xiong, Jie Wu, Zhijun Yan, Deming Liu, Qizhen Sun

“…Artificial intelligence (AI) plays a critical role in signal recognition of distributed sensor systems (DSS), boosting its applications in multiple monitoring fields. …”
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Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

“…Performance evaluation encompasses four classification algorithms: support vector machine, Gradient Boosting (GB), k-nearest neighbors (KNN), and Naïve Bayes. …”
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The Influence of Green Product Innovation, Green Process Innovation, and End-of-Line Management Innovation on Sustainability Performance Dimensions by Ehsan Masoudi, Seyyed Amirhossein Emamiyan

“… Purpose- Sustainability performance (SP) boosts competitive advantage and benefits the environment and society. …”
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Performance analysis of insertion loss incorporated hybrid precoding for massive MIMO by Tadele A. Abose, Thomas O. Olwal, Muna M. Mohammed, Murad R. Hassen

“…Due to an increase in the number of users and a high demand for high data rates, researchers have resorted to boosting the capacity and spectral efficiency of the next-generation wireless communication. …”
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XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites by Salman Khan, Sumaiya Noor, Tahir Javed, Afshan Naseem, Fahad Aslam, Salman A. AlQahtani, Nijad Ahmad

“…By fusing word embeddings with evolutionary descriptors, it applies the SHapley Additive exPlanations (SHAP) algorithm for optimal feature selection and uses eXtreme Gradient Boosting (XGBoost) for classification. XGBoost-Sumo achieved an impressive accuracy of 99.68% on benchmark datasets using 10-fold cross-validation and 96.08% on independent samples. …”
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Habitat Assessment for the Spiny Red Gurnard <i>Chelidonichthys spinosus</i> Using Habitat Suitability Index in the East China Sea and Southern Yellow Sea by Hanye Zhang, Zunlei Liu, Xiaojing Song, Jiahua Cheng, Jianzhong Ling

“…Each variable was then combined into the HSI model with weights defined by the Gradient Boosting Regression Tree. The spatial distribution and the centroid of the HSI revealed that <i>C. spinosus</i> exhibits a seasonal southward and southwestward migratory pattern throughout the year. …”
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Machine learning-enhanced gesture recognition through impedance signal analysis by Huynh Hoang Nhut, Diep Quoc Tuan Nguyen, Dinh Minh Quan Cao, Tran Anh Tu, Dang Nguyen Chau, Phan Thien Luan, Tran Trung Nghia, Ching Congo Tak Shing

“…The machine learning model using the K-Nearest Neighbors (KNN), Gradient Boosting Machine (GBM), Naive Bayes (NB), Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM) algorithms demonstrated notable precision in performance evaluations. …”
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Sulfur-vulcanized CoFe2O4 with high-efficiency photo-to-thermal conversion for enhanced CO2 reduction and mechanistic insights into selectivity by Xiaoke Chen, Ming Cai, Pengwei Huo, Yan Yan, Yue Zhang, Pengxin Li, Zhi Zhu

“…The integration of sulfur significantly boosts near-infrared light absorption and promotes the conversion of light to thermal energy, enabling the catalyst to reach 185 °C within 300 ss. …”
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Joint security and performance improvement in multilevel shared caches by Amin Sarihi, Ahmad Patooghy, Mahdi Amininasab, Mohammad Shokrolah Shirazi, Abdel‐Hameed A. Badawy

“…Evaluations on SPECCPU 2006 benchmark suite show that the proposed algorithm not only protects the system against the introduced attack but also boosts the overall system performance by an average of 46.35% and 55.92% for the worst and average cases, respectively.…”
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Transition Metal-Mediated Preparation of Nitrogen-Doped Porous Carbon for Advanced Zinc-Ion Hybrid Capacitors by Mingcheng Li, Zheng Liu, Dan Wu, Huihao Wu, Kuikui Xiao

“…Advanced analysis shows Fe-NDPC’s high graphitic nitrogen content and graphitization degree, boosting its electric double-layer capacitance (EDLC) and pseudocapacitance. …”
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