Space Trajectory Planning with a General Reinforcement-Learning Algorithm by Andrea Forestieri, Lorenzo Casalino

“…Space trajectory planning is a complex combinatorial problem that requires selecting discrete sequences of celestial bodies while simultaneously optimizing continuous transfer parameters. …”
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Large-Scale AI-Based Structure and Activity Prediction Analysis of ShK Domain Peptides from Sea Anemones in the South China Sea by Ziqiang Hua, Limin Lin, Wanting Yang, Linlin Ma, Meiling Huang, Bingmiao Gao

“…However, these peptides’ structural complexity and diversity have posed challenges for functional prediction. …”
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Sortilin‐Mediated Rapid, Precise and Sustained Degradation of Membrane Proteins via mRNA‐Encoded Lysosome‐Targeting Chimera by Xin Chang, Xinyu Qiu, Xiaoning Tong, Shaoju Gan, Weicheng Yi, Sitao Xie, Xiangsheng Liu, Chao Zuo, Weihong Tan

“…This MedTAC strategy establishes sortilin as a selective and efficient shuttle for targeted protein degradation, offering a scalable, rapidly producible platform for biochemical research and precise therapeutic applications.…”
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A Methodology for the Feasibility Assessment of Using Crop Residues for Electricity Production Through GIS-MCD and Its Application in a Case Study by Fernando Bruno Dovichi Filho, Laura Vieira Maia de Sousa, Electo Eduardo Silva Lora, José Carlos Escobar Palacio, Pedro Tavares Borges, Regina Mambeli Barros, René Lesme Jaen, Marcelo Risso Errera, Quelbis Roman Quintero

“…The last Intergovernmental Panel on Climate Change reports recommend a shift to renewables and a more energy-efficient economy. To fulfill the potential of bioenergy, tools are required to overcome the complexities of the decision-making processes for viable projects. …”
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Dual-Resource Scheduling with Improved Forensic-Based Investigation Algorithm in Smart Manufacturing by Yuhang Zeng, Ping Lou, Jianmin Hu, Chuannian Fan, Quan Liu, Jiwei Hu

“…In the first stage, an improved multi-objective FBI algorithm is used to obtain the Pareto front solutions of this model, in which a hybrid real and integer encoding–decoding method is used for exploring the solution space and a fast non-dominated sorting method for improving efficiency. In the second stage, a multi-criteria decision analysis method based on an analytic hierarchy process (AHP) is used to select the optimal solution from the Pareto front solutions. …”
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Detection of Mycotoxins in Cereal Grains and Nuts Using Machine Learning Integrated Hyperspectral Imaging: A Review by Md. Ahasan Kabir, Ivan Lee, Chandra B. Singh, Gayatri Mishra, Brajesh Kumar Panda, Sang-Heon Lee

“…Mycotoxins exhibit heightened sensitivity to specific spectral bands within HSI, facilitating accurate detection. Additionally, selecting only relevant spectral features reduces ML model complexity and enhances reliability in the detection process. …”
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A Novel Adaptive Independent Component Analysis Method for Multi-Channel Optically Pumped Magnetometers’ Magnetocardiography Signals by Shuang Liang, Jiahe Qi, Junhuai He, Yikang Jia, Aimin Wang, Ting Zhao, Chaoliang Wei, Hongchen Jiao, Lishuang Feng, Heping Cheng

“…The proposed method outperformed traditional techniques in terms of its ability to identify artifacts and efficiency in this regard, providing strong support for the broader clinical application of OPM-MCG.…”
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A hybrid blockchain-based solution for secure sharing of electronic medical record data by Gang Han, Yan Ma, Zhongliang Zhang, Yuxin Wang

“…This algorithm not only streamlines the signature process across chains but also strengthens system security and optimizes storage efficiency, addressing a key challenge in multi-chain systems. …”
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Determination of the inter-repair cycle of production boreholes for underground uranium leaching by Yu. А. Arsentiev, A. P. Nazarov, N. V. Soloviev, D. А. Ivanov, А. G. Ivanov

“…This work is an attempt to analytically develop the main indicator of the duration of the overhaul cycle of the operation of technological wells to determine the frequency of repair and restoration work (RVR) depending on the intensity of the decline in the productivity of borehole in situ leaching (IIL) wells and the coefficient for selecting an effective type of complexes of technical means and technological methods for carrying out RVR.Materials and methods. …”
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BER performance analysis of polar-coded FBMC/OQAM in the presence of AWGN and Nakagami-m fading channel by Tadele A. Abose, Fanuel O. Ayana, Thomas O. Olwal, Yihenew W. Marye

“…It offers several advantages over traditional orthogonal frequency-division multiplexing (OFDM) modulation, including higher spectral efficiency, lower out-of-band emission, and improved robustness to time-frequency selective channels. …”
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An Interpretable Hybrid Deep Learning Model for Molten Iron Temperature Prediction at the Iron-Steel Interface Based on Bi-LSTM and Transformer by Zhenzhong Shen, Weigang Han, Yanzhuo Hu, Ye Zhu, Jingjing Han

“…This paper proposes an interpretable hybrid deep learning model combining Bi-LSTM and Transformer to solve the complexity of temperature drop prediction. By leveraging Catboost-RFECV, the most influential variables are selected, and the model captures both local features with Bi-LSTM and global dependencies with Transformer. …”
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Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study by Yanfei Chen, Bing Wang, Yankai Shi, Wenhao Qi, Shihua Cao, Bingsheng Wang, Ruihan Xie, Jiani Yao, Xiajing Lou, Chaoqun Dong, Xiaohong Zhu, Danni He

“…Although existing AD risk prediction tools demonstrate high accuracy, their complexity and limited accessibility restrict practical application. …”
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Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review by Keerthi A. S. Pillai, Preena K. P., Madhu S. Nair

“…CNNs have proven to be a crucial component in improving the accuracy and efficiency of aneurysm detection by automatically learning features from raw imaging data, bypassing the need for manual feature extraction. …”
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Measurement and assessment of human resources in information economy: substantive and methodological aspect by Krasova Elena

“…The following weaknesses of the existing methodical base were identified: lack of a unified understanding of the category of “human resources” and some related categories, complexity of selecting indicators and indirectness of assessments, mixing different types of indicators in one measurement procedure, shift towards assessing the socio-demographic component, underestimation of feedback in the interaction of human resources with the economic, social, institutional environment, underdeveloped synthesis of traditional and digital methods. …”
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Fast Adaptive CU Partition Decision Algorithm for VVC Intra Coding by Lina Si, Wendi Zhu, Qiuwen Zhang

“…However, when the CU selects the division type, it needs to traverse all possible division types and compute the Rate-distortion (RD) cost, which greatly enhances the coding complexity. …”
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Highly parallel optimisation of chemical reactions through automation and machine intelligence by Joshua W. Sin, Siu Lun Chau, Ryan P. Burwood, Kurt Püntener, Raphael Bigler, Philippe Schwaller

“…Minerva demonstrates robust performance with experimental data-derived benchmarks, efficiently handling large parallel batches, high-dimensional search spaces, reaction noise, and batch constraints present in real-world laboratories. …”
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Copper-catalyzed enantioselective three-component radical 1,4-perfluoroalkylamination of 1,3-dienes by Xiaoyan Shangguan, Lihan Zhu, Yingzi Zhang, Yan Li, Qian Zhang

“…Here, we report a copper-catalyzed enantioselective radical three-component 1,4-perfluoroalkylamination of 1,3-dienes with anilines and perfluoroalkyl reagents, efficiently providing an array of valuable perfluoroalkylated chiral allylic amines in good to excellent yields with excellent enantioselectivity. …”
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Effect of pyrolytic temperature on the adsorption of Pb(II) from synthetic wastewater onto bamboo chopstick biochar: a conventional vs. microwave-assisted pyrolysis approach by Thembeka Mabaso, Shang-Lien Lo, Pei-Te Chiueh

“…For the adsorbent dose, good removal efficiencies and adsorption capacities were observed at an adsorbent dose of 2 g L−1 and at an initial concentration of 50 mg L−1. …”
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On an RNA-Membrane Protogenome by Michael Yarus

“…Efficient evolution exists before DNA, else the DNA genome itself could not evolve. …”
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Friction Prediction in Asphalt Pavements: The Role of Separated Macro- and Micro-Texture Parameters Under Dry and Wet Conditions by Jie Gao, Jingjing Fan, Chong Gao, Liang Song

“…The regression models effectively predict both friction coefficients, reducing field testing complexity and cost. These models provide an efficient tool for evaluating skid resistance and supporting pavement performance and maintenance management. …”
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