Optimizing the Use of History Textbook through Brain-Based Learning by Wildan Insan Fauzi, Ayi Budi Santosa, Tarunasena Tarunasena

“…Therefore, brain-based learning can be an alternative to optimize the textbook to improve students’ historical thinking and understanding. …”
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PSOA-LSTM: a hybrid attention-based LSTM model optimized by particle swarm optimization for accurate lung cancer incidence forecasting in China (1990–2021) by Nannan Xu, Guang Yang, Linlin Ming, Jiefei Dai, Kun Zhu

“…Visualization results across 12 age groups and both genders further validated the model's ability to capture temporal trends and reduce prediction error, demonstrating enhanced generalization and robustness.ConclusionThe proposed PSOA-LSTM model outperforms benchmark models in predicting lung cancer incidence across demographic segments, offering a reliable decision-support tool for public health surveillance, early warning systems, and health policy formulation.…”
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Deephive: A Reinforcement Learning Approach for Automated Discovery of Swarm-Based Optimization Policies by Eloghosa Ikponmwoba, Opeoluwa Owoyele

“…On a broader scale, the results show promise for the rapid development of domain-specific optimizers.…”
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A cartographic generalization method for 3D visualization of trajectories in space–time cubes: case study of epidemic spread by Fei Yang, Jie Shen, Fengzhen Zhu, Junrui Zhang

“…To address this gap, we propose a global-local cooperative optimization method based on cognitive load theory, which utilizes cartographic generalization to emphasize local features and clarity, while treating 3D visualization as a global opacity optimization problem to enhance visibility and reduce occlusions. …”
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Robust Guaranteed Cost Observer Design for Singular Markovian Jump Time-Delay Systems with Generally Incomplete Transition Probability by Yanbo Li, Yonggui Kao, Jing Xie

“…Finally, a convex optimization problem with LMI constraints is formulated to design the suboptimal guaranteed cost filters for linear singular Markovian jump time-delay systems with generally incomplete transition probability.…”
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A Generalized Shape Function for Vibration Suppression Analysis of Acoustic Black Hole Beams Based on Fractional Calculus Theory by Jun Xu, Ning Chen

“…To obtain the best parameters of the shape function under various parameters, the Particle Swarm Optimization (PSO) algorithm is employed. The results demonstrate that by selecting appropriate ML parameters and viscoelastic materials, the dissipation characteristics of the structure can be significantly improved. …”
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General Principles of Combinations of Stator Poles and Rotor Teeth for Conventional Flux-Switching Brushless Machines with Prime Phase Numbers by Chuhan Gao, Xinran Jia, Guishu Zhao, Wei Hua, Ming Cheng

“…In order to achieve the optimal stator–rotor combinations of conventional flux-switching permanent magnet (FSPM) machines, this paper proposes and analyzes a general principle with prime phase numbers. …”
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Detection of power theft in sensitive stations based on generalized robust distance metric and multi-classification support vector machine by Wei Zhang, Qiong Cao, Shuai Yang, Hao Guo

“…Through training and optimization, the support vector machine outputs the detection results of electricity stealing behavior according to the decision function, and realizes the accurate detection of electricity stealing behavior. …”
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The impact of physical exercise on university students' life satisfaction: The chain mediation effects of general self-efficacy and health literacy. by Yu-Peng Ye, Guo-You Qin, Xinyu Zhang, Shan-Shan Han, Bo Li, Ning Zhou, Qi Liu, Chen-Xi Li, Yang-Sheng Zhang, Qian-Qian Shao

“…<h4>Objective</h4>This study aims to explore the impact of physical exercise on university students' life satisfaction and analyses the chain mediation effect of general self-efficacy and health literacy, providing empirical reference and theoretical foundation for the comprehensive enhancement and optimization of students' mental health.…”
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Comparison and general law research of multiple machine-learning models for proton exchange membrane electrolytic cell parameters prediction by Yukun Wang, Hai-Wen Li, Wenhan An, Yudong Mao, Kaimin Yang, Jiying Liu

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Optimizing battery health monitoring in electric vehicles using interpretable CART–GX model by Mohnish Karthikeyan B, Anirudh N, Navaneetha Krishnan S, Christopher Columbus C, Aravind C. K

“…The methodology is validated on both the NASA and CALCE battery datasets, demonstrating strong generalization across diverse chemistries and cycling protocols. …”
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Effect of perioperative dexmedetomidine on recovery of postoperative gastrointestinal function in patients with general anesthesia: a systematic review and meta-analysis by Yanping Liu, Hongbin Liang, Yuanyuan Sun, Weihua Liu, Li Ye, Wanyou He, Hanbing Wang

“…Abstract Background There is controversy surrounding the influence of dexmedetomidine on the recovery of postoperative gastrointestinal dysfunction in patients under general anesthesia. The main purpose of this meta-analysis is to evaluate the effect of dexmedetomidine administration during the perioperative period on the recovery of gastrointestinal function in patients under general anesthesia. …”
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Predicting the Matching Possibility of Online Dating Youths Using Novel Machine Learning Algorithm by Karthikeyan Palanisamy, Muthumani Muralidharan

“…Light Gradient Boosting Classification (LGBC) serves as a foundational framework, and an innovative approach is introduced by combining it with the Henry Gass Solubility Optimization Algorithm (HGSOA), Flying Fox Optimization (FFO), and Mayflies Optimization (MO), resulting in a hybrid model. …”
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Investigation of CO2 and H2O Addition to Natural Gas for Production of Synthesis Gas

“…General modeling and optimization of syngas production via noncatalytic autothermal partial oxidation of methane are carried out using our developed scientific software which was based on the minimization of total Gibbs energy. …”
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Analysis the effects of monetary policy in Iran's economy with the existence of shadow banking, using dynamic stochastic general equilibrium method by ashkan makipour, Ahmad Salahmanesh, Ebrahim Anvari, Ebrahim Bahraminia

“…After an increase in the monetary policy rate, this increase in available funds for shadow banks results in a higher share of savings owing into the shadow banking sector. …”
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Process optimisation: spinal versus general anaesthesia for endourological surgery. A randomised, controlled trial and machine-learning approach by Kornel Skitek, Gregor A. Schittek, Jens Soukup

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A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling by Nastaran Gholizadeh, Petr Musilek

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A Generalized Class of Exponential Type Estimators for Population Mean under Systematic Sampling Using Two Auxiliary Variables by Mursala Khan

“…We have proposed a generalized class of exponential type estimators for population mean under the framework of systematic sampling using the knowledge of two auxiliary variables. …”
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Evaluating model generalization for cow detection in free-stall barn settings: Insights from the COw LOcalization (COLO) dataset by Mautushi Das, Gonzalo Ferreira, C.P. James Chen

“…Precision livestock farming (PLF) increasingly relies on advanced object localization techniques to monitor livestock health and optimize resource management. This study investigates the generalization capabilities of object detection models for cow detection in indoor free-stall barn settings, focusing on varying training data characteristics such as view angles and lighting, and model complexities. …”
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A General Numerical Error Compensation Method for NLFM Signal in SAR System Based on Non-Start–Stop Model by Gui Wang, Heng Zhang, Bo Li, Weidong Yu

“…However, in a SAR system using NLFM signals, the non-start–stop effect, caused by the continuous motion of the platform during pulse transmission and reception, introduces significant errors, resulting in target defocusing. To tackle this problem, this paper proposes a general numerical error compensation method dedicated to NLFM signals. …”
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