A data-driven PCA-RF-VIM method to identify key factors driving post-fracturing gas production of tight reservoirs by Yifan Zhao, Xiaofan Li, Lei Zuo, Zhongtai Hu, Liangbin Dou, Huagui Yu, Tiantai Li, Jun Lu

“…Analyzing and obtaining these ten controlling factors provides engineers with a new insight into the reservoir selection for fracturing stimulation and fracturing parameter optimization to improve fracturing efficiency and productivity.…”
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Leadership competences for the excellence of municipalities’ strategic management by Andrius Valickas, Agota Giedre Raišiene, Malvina Arimavičiūtė

“…Specifics of leadership in municipalities is significantly influenced by the complexity of municipal management, which is happening in multi-layer administration environment, with various interested parties and administrative actors involved at the same time. …”
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Hierarchical Quantum Architecture Search for Variational Quantum Algorithms by Tong Zhao, Bo Chen, Guanting Wu, Liang Zeng

“…Designing efficient variational quantum algorithms (VQAs) is crucial for transforming the theoretical advantages of quantum algorithms into practical applications. …”
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Traffic Incident Duration Prediction: A Systematic Review of Techniques by Artur Grigorev, Adriana-Simona Mihaita, Fang Chen

“…Future research directions proposed include the following: (1) development of data fusion models that integrate heterogeneous datasets of incident reports for enhanced predictive modeling; (2) utilization of natural language processing (NLP) to extract contextual information from textual incident reports; and (3) implementation of advanced ML pipelines that incorporate anomaly detection, hyperparameter optimization, and sophisticated feature selection techniques. The findings underscore the transformative potential of advanced ML methodologies in traffic incident management, contributing to the development of safer, more efficient, and environmentally sustainable transportation systems.…”
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User preference–based QoS-aware service function placement in IoT-Edge cloud by Briytone Mutichiro, Younghan Kim

“…An efficient solution to this problem is service orchestration and placement of service functions to meet user-specific requirements. …”
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Progress of research on aviation kerosene preparation using bioethanol by Pan LI, Yu ZHAO, Xingguo WU, Lulu ZHANG, Junhao HU, Wei CHEN, Jing BAI, Chun CHANG, Shuqi FANG

“…Currently, the ATJ process still suffers several disadvantages, such as long process flow and low conversion efficiency. The conversion route from ethanol to jet kerosene is complex and requires three different catalysts. …”
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Computational optimization of associative learning experiments. by Filip Melinscak, Dominik R Bach

“…With computational biology striving to provide more accurate theoretical accounts of biological systems, use of increasingly complex computational models seems inevitable. However, this trend engenders a challenge of optimal experimental design: due to the flexibility of complex models, it is difficult to intuitively design experiments that will efficiently expose differences between candidate models or allow accurate estimation of their parameters. …”
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Solving Volterra-Fredholm integral equations by non-polynomial spline function based on weighted residual methods by S.H. Salim, R.K. Saeed, K.H.F. Jwamer

“…The approach begins with the selection of a series of knots along the integration interval. …”
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A Novel Platform Featuring Nanomagnetic Ligand Fishing Based on Fixed-Orientation Immobilized Magnetic Beads for Screening Potential Cyclooxygenase-2 Inhibitors from <i>Panax notog... by Fan Zhang, Fan Sun, Lequan Yu, Fei Li, Lixia Liu, Xiaoyan Cao, Yi Zhang, Lijie Wu

“…The results indicate that the proposed method provides a simple, feasible, selective, and effective platform for the efficient screening and identification of active compounds from Chinese herbal medicine. …”
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Materials and technologies for the restoration of tower-type objects by S. G. Sheina, D. K.-S. Bataev, M. M. Maloroev, P. D. Bataeva

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Deep characteristic learning model for real-time flow monitoring based on H-ADCP by Yu Li, Xin Zhao, Yibo Wang, Ling Zeng

“…New hydrological insights for the region: The DCL model performs efficiently with a determination coefficient (R2) of 0.93 between the simulated and observed discharge, which is obviously better than the single intelligent algorithm-based models. …”
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Machine learning in additive manufacturing——NiTi alloy’s transformation behavior by Lidong Gu, Kongyuan Yang, Hongchang Ding, Zezhou Xu, Chunling Mao, Panpan Li, Zhenglei Yu, Yunting Guo, Luquan Ren

“…In this study, a feature screening strategy and machine learning (ML) method were employed to predict and regulate the phase transition temperature of LPBF-NiTi alloy, offering a more efficient and cost-effective alternative to traditional experimental methods of regulation and control. …”
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Optimizing Dye-Sensitized Solar Cell (DSSC) Performance through Synergistic Natural Dye Combinations from <i>Beta vulgaris</i> L., <i>Curcuma longa</i> L., and <i>Pandanus amarylli... by Nita Kusumawati, Pirim Setiarso, Supari Muslim, Nafisatus Zakiyah, Khofifatul Rahmawati, Fadlurachman Faizal Fachrirakarsie

“…Photovoltaic performance testing showed the C4 three-dye combination achieved the highest energy conversion efficiency of 3.57%. These results demonstrate the potential of this dye combination to contribute to the development of sustainable and efficient solar energy conversion in DSSCs.…”
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Advances in Activation of Persulfate by Novel Carbon-Based Materials: Degradation of Emerging Contaminants, Mechanisms, and Perspectives by Lianghui Guo, Dong Liu, Runyao Han, Aoxiang Yin, Guifan Gong, Shi Li, Ruixuan Chen, Jianyu Yang, Zimeng Liu, Keke Zhi

“…Despite the great potential of carbon-based catalysts, their large-scale application is limited by the complexity of the catalyst preparation process and the lack of selectivity for complex water qualities. …”
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Multi-layer perceptron-particle swarm optimization: A lightweight optimization algorithm for the model predictive control local planner by Xiaoqing Guan, Tao Hu, Ziang Zhang, Yixu Wang, Yifan Liu, You Wang, Jie Hao, Guang Li

“…The experiment results demonstrate that the multi-layer perceptron-particle swarm optimization algorithm can quickly and accurately solve local planning problems, guiding robots to complete global paths with the same efficiency as expert solvers. The average solving time has been reduced by over 90%, enabling the robot to increase its control frequency or adopt higher-quality complex motion primitives. …”
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Topological optimization design of SLM additive manufactured unmanned aerial vehicle bearing joint structure based on variable density method by Shuaichao YUAN, Jianfeng WANG, Yuhang DUAN, Lujing HAO, Xiaohong ZHAN

“…This study demonstrates combining topology optimization with SLM can greatly shorten the manufacturing cycle and produce complex structural parts efficiently. This approach provides important theoretical guidance and reference for the lightweight design and manufacturing field of large-scale UAV load-bearing joint structures. …”
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Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network by Muhammad Sohaib, Jong-Myon Kim

“…In the past couple of years, deep learning algorithms have not only improved the classification performance in various disciplines (e.g., in image processing and natural language processing), but also reduced the complexity of feature extraction and selection processes. …”
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Nonlocal Huygens’ meta-lens for high-quality-factor spin-multiplexing imaging by Jin Yao, Yubin Fan, Yunhui Gao, Rong Lin, Zhihui Wang, Mu Ku Chen, Shumin Xiao, Din Ping Tsai

“…Leveraging these effects, the output polarization-converted state exhibits an efficient wavelength-selective focusing phase profile. …”
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Research on Fault Stability in Junggar Basin Based on 3D Geological Modeling by XIONG Yuwei, ZHANG Yan, MA Jinyu, LI Zhe, LEI Cheng, SUN Wentie

“…The distribution characteristics of ground stress and fault stability are very important for horizontal well location deployment, drilling orientation and hydraulic fracturing design in complex areas. The Junggar basin is characterized by intense structure and complex strati-graphic characteristics, so it is necessary to clarify the variation law of ground stress, identify fault stability and control drilling risk to improve drilling efficiency. …”
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Adsorptive Removal of Dyes: A Comparison of Graphene Oxide to Granular Activated Carbon and Zeolite NaY by Niloufar Nekouei Marnani, F. Handan Tezel, Onita D. Basu

“…Overall, GO demonstrated a more robust and higher removal efficiency of cationic dyes compared with GAC and NaY, indicating the potential of graphene oxide for the removal of complex structured organic contaminants in wastewater treatment.…”
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