Combined digital media technology and advanced computing science in folk art design application by Xingxing Fu

“…However, the current application of artificial intelligence technology in folk art design is relatively simple and lacks systematic analysis methods. Therefore, this study aims to construct an optimization model through the use of advanced computational science methods and digital media technology to achieve a comprehensive analysis of various indicators of folk art design. …”
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Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks by Tao Wang, Lianglun Cheng, Ke Zhang, Jun Liu

“…Wireless sensor networks are evolving with increasingly device heterogeneity, while the problem of effectively composing the platform-specific functionalities provided by heterogeneous sensor nodes to achieve specific goals still remains a challenge. …”
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Retinal Vessel Segmentation Using Math-Inspired Metaheuristic Algorithms by Mehmet Bahadır Çetinkaya, Sevim Adige

“…In this work, the recently proposed Circle Search Algorithm (CSA), Tangent Search Algorithm (TSA), Arithmetic Optimization Algorithm (AOA), Generalized Normal Distribution Optimization (GNDO), Global Optimization Method based on Clustering and Parabolic Approximation (GOBC-PA), and Sine Cosine Algorithm (SCA) were implemented for clustering and then applied to the retinal vessel segmentation task on retinal images from the DRIVE and STARE databases. …”
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Figure of merit for piezoelectric MEMS speakers by Mingchao Sun, Menglun Zhang, Yale Wang, Shaobo Gong, Chen Sun, Chongling Sun, Chengze Liu, Linbing Xu, Wei Pang

“…Their broadband nature means that responses at every frequency point across the whole operating bandwidth contribute to performance, yet there is no widely recognized weighting approach for fair evaluation. …”
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Three-Dimensional Extended Target Tracking and Shape Learning Based on Double Fourier Series and Expectation Maximization by Hongge Mao, Xiaojun Yang

“…This paper investigates the problem of tracking targets with unknown but fixed 3D star-convex shapes using point cloud measurements. While existing methods typically model shape parameters as random variables evolving according to predefined prior models, this evolution process is often unknown in practice. …”
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Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Hamza Imran, Miguel Angel Duque Vaca, Greys Carolina Herrera Morales, Nestor Ulloa, Krishna Prakash Arunachalam

“…The practical implications of this research extend to sustainable machine learning-based concrete design, where AI-driven optimization can help reduce the reliance on conventional trial-and-error methods. …”
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Research on Cooperative Search and Dynamic Target Encirclement of Unmanned Surface Vehicle Swarms Based on Improved Pheromone Algorithm by Antong Zhang, Yunfan Yang, Zhuo Chen, Tao Bao, Yu Guo, Xu Liu, Wenhui Yin

“…Global guidance is provided by the primary grid, while the sub-grid serves the purpose of local optimization. …”
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Research on power system transformation based on edge node technology under the background of carbon neutrality by LI Jin, GAO Hongliang, LIU Kemeng, XIE Hu

“…A stable time series is established according to the historical data of the power system, and then, the medium and long-term power demand is predicted through the exponential smoothing method as the basis of system transformation design. …”
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Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems by Andrea Pozzi, Alessandro Incremona, Daniele Toti

“…While stochastic predictive control policies can address these uncertainties by incorporating them directly into the optimization process, they typically introduce considerable computational complexity. …”
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Bread production technology modelling using hop starter in ovens of various types by V. A. Bukhovets, T. V. Kirillova, N. A. Fokina, I. V. Romanov

“…The article studies the processes of structure formation of baked dough pieces using wheat and hop starters and changes in the properties of finished products and semi-finished products depending on the baking methods. A whole complex of physical, chemical and biochemical processes takes place in the dough piece during baking under the influence of heat and moisture, which causes considerable changes in the bread dough. …”
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Ontology-based expansion of virtual gene panels to improve diagnostic efficiency for rare genetic diseases by Jaemoon Shin, Toyofumi Fujiwara, Hirotomo Saitsu, Atsuko Yamaguchi

“…However, PanelApp also filtered out disease-causing genes in nearly 50% of the cases. Methods Here, we propose various methods for optimized approach to design VGPs that significantly improve the diagnostic efficiency by leveraging the hierarchical structure of the Mondo disease ontology, without excluding disease-causing genes. …”
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Life Cycle Evaluation of Substations with Carbon Reduction Based on Analytic Hierarchy Process Considering Multiple Performance Measures by Hongshan Wu, Xue Jiang, Kun Song, Ce Xiu, Junru Lin, Qiangsheng Xu, Heng Chen

“…The results show that the AHP-TOPSIS-based comprehensive evaluation index and model of the whole life cycle of the substation can reflect the performance of the substation and provide help for the optimization of the substation.…”
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Exploration of Bioinformatics on Microbial Fuel Cell Technology: Trends, Challenges, and Future Prospects by K. T. Nachammai, Srinithi Ramachandran, Chitra Nagarajan, Langeswaran Kulanthaivel, Gowtham Kumar Subbaraj, Kirubhanand Chandrasekaran, Vijayalakshmi Paramasivan, Senthilkumar Subramanian

“…Microbial fuel cells (MFCs) are a cost-effective and environmentally friendly alternative energy method. MFC technology has gained much interest in recent decades owing to its effectiveness in remediating wastewater and generating bioelectricity. …”
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Continuous Train Positioning Using Visible Light Communication Assisted with Zero Velocity Update by Yanpeng ZHANG, Rongrong ZHANG, Nan MENG, Bingqing ZHANG, Xia XIAO

“…The proposed method can improve the accuracy of train positioning in tunnel environments and provide a reference for autonomous train positioning of CBTC systems toward vehicle-to-vehicle communication.Methods This study uses the LED light sources on the tunnel wall as the sending ends of VLC, while the binocular complementary metal-oxide-semiconductor (CMOS) camera fixed on the top carrier platform of the train head serves as the receiving end. …”
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Bradykinin measurement by liquid chromatography tandem mass spectrometry in subjects with hereditary angioedema enhanced by cold activation by Jinguo Chen, MD, Yunkou Wu, PhD, J. Joanna Yu, MD, PhD, Joseph Chiao, MD, Jing Yu, PhD, Mark D. Scarupa, MD, Lili Wan, PhD, H. Henry Li, MD, PhD

“…BK levels highly correlated with plasma kallikrein activity in the same samples. Conclusions: Whole blood under cold activation showed striking elevation of BK levels in subjects with HAE-C1INH, while minimally affecting healthy volunteers. …”
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Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations by Osamah Thamer Hassan Alzubaidi, Mhd Nour Hindia, Kaharudin Dimyati, Kamarul Ariffin Noordin, Faizan Qamar, Atef Abdrabou

“…Finally, by strategically optimizing ABS 3D positions and utilizing DEO among GUs, the SSR and SEE gain achieved by NOMA is shown to be more significant compared to conventional methods.…”
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AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net by Ming Zhao, Yimin Yang, Bingxue Zhou, Quan Wang, Fu Li

“…This DSCOM effectively preserves high-resolution information and improves the segmentation accuracy of small targets and boundary regions through multi-level convolution operations and channel optimization. Finally, we proposed an Adaptive Fusion Loss Module (AFLM) that effectively balances different lossy targets by dynamically adjusting weights, thereby further improving the model’s performance in segmentation region consistency and boundary accuracy while maintaining classification accuracy. …”
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Coal mining equipment lifecycle management system architecture and key technology by Yihui PANG, Jinglong BI, Pengzhe YUAN, Baofu ZHAO, Ziwei DING

“…The main influencing factors of coal mining equipment selection optimization design were analyzed, and a calculation method for comprehensive mining equipment selection optimization was studied. …”
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Effectiveness of Photobiomodulation Therapy in the Management of Fibromyalgia Syndrome: A Systematic Review by Sebastián Eustaquio Martín Pérez, Joel Rodríguez Niebla, Loanne Giraud Pérez, Raquel Campo León, Alejandro López Mejías, David Morales Tejera, Isidro Miguel Martín Pérez

“…Photobiomodulation therapy (PBMT) has recently emerged as a promising non-pharmacological approach, but its clinical effectiveness and optimal application methods remain unclear. This systematic review evaluated the efficacy of PBMT in managing Fibromyalgia symptoms, including pain, physical function, sleep quality, and overall well-being, while comparing localized and whole-body delivery. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…The regression model followed standard statistical guidelines, while the FFNN required optimization of hyperparameters, including the number of layers, activation functions, learning rate, and  optimization algorithms. …”
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