Hazard Assessment of Extreme Compound Flood Hazards in Coastal Cities under Climate Change: A Case Study of Haikou City by Liu Qing, Wu Guofeng, Yao Qian, Xu Hanqing, Niu Yiying, Wei Xuchen, Wang Jun, Li Mengya

“…Despite the potential reduction in extreme event intensity, the frequency of compounding events has increased significantly. …”
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Multi-field coupling model and evolution mechanism of thermal cracking in early-age mass concrete based on phase-field method by Wenqiang Xu, Sheng Qiang, Hui Wang, Ziang Zhao

“…The model is solved using an incremental iterative algorithm, and its accuracy is validated through classical benchmark cases. …”
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Short-Term Photovoltaic Power Generation Combination Forecasting Method Based on Similar Day and Cross Entropy Theory by Qi Wang, Shunxiang Ji, Minqiang Hu, Wei Li, Fusuo Liu, Ling Zhu

“…The results show that this method can effectively improve the prediction accuracy of PV power and is of great significance to real-time economical dispatch.…”
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A balanced sensor scheduling for multitarget localization in a distributed multiple-input multiple-output radar network by Chenggang Wang, Zengfu Wang, Xiong Xu, Yuhang Hao

“…The effectiveness and the efficiency of the proposed algorithm are demonstrated in simulated examples.…”
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Flow Characteristics by Blood Speckle Imaging in Non-Stenotic Congenital Aortic Root Disease Surrounding Valve-Preserving Operations by Shihao Liu, Justin T. Tretter, Lama Dakik, Hani K. Najm, Debkalpa Goswami, Jennifer K. Ryan, Elias Sundström

“…BSI, utilizing block-matching algorithms, enabled detailed visualization and quantification of flow parameters from the echocardiographic data. …”
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Scientific Laboratory “Moscow Polyclinic”: Experience of Project Implementation by K. Yu. Tarkhov

“…Background. In 2021, a new educational project “Scientific Laboratory ‘Moscow Polyclinic’” was launched. …”
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Innovation in Manufacturing Within the Digital Intelligence Context: Examining Faultlines Through Information Processing by Kangli Zhang, Jinwei Zhu

“…The results demonstrate that task-related faultlines, driven by factors such as educational background, tenure, career experience, and years of service, have a positive impact on innovation performance. …”
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Social Media’s Seductive Spell – Unraveling the Impact on Teen Girls by Manisha Singh Palawat, Gopal Singh Charan, Amanpreet Kaur, Shatrughan Pareek

“…Open communication among parents, educators, and girls can create a supportive environment to discuss body image concerns. …”
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Multi-objective RGB-D fusion network for non-destructive strawberry trait assessment by Zhenzhen Cheng, Yifan Cheng, Bailing Miao, Tingting Fang, Shoufu Gong

“…This study proposes a multi-objective learning algorithm that leverages RGB-D multimodal information to estimate these quality metrics. …”
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Postpartum depression in Northeastern China: a cross-sectional study 6 weeks after giving birth by XuDong Huang, LiFeng Zhang, ChenYang Zhang, Jing Li, ChenYang Li

“…Key risk factors were identified through machine learning techniques, including LASSO regression and the Boruta algorithm, and their associations were evaluated using logistic regression. …”
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Application of Linear Programming in Profit Maximization (A Case Study of Crunches Fried Chicken at Miami Tours and Travel Hotel in Kabale District) by Tayebwa, Osbert

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Distributed Transmission Probability Control in Fading Channel with State Information by S. Xie, K.S. Low, E. Gunawan

“…A distributed algorithm is proposed to find the optimal transmission probability. …”
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Optimizing Robotic Arm Learning: Curiosity-Driven Deep Deterministic Policy Gradient by Liu Jiarun

“…This study explores the application of the Reinforcement Learning (RL) in training robotic arms, particularly using the Deep Deterministic Policy Gradient (DDPG) algorithm enhanced by a curiosity- driven mechanism. …”
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Exponential Improvements in the Simulation of Lattice Gauge Theories Using Near-Optimal Techniques by Mason L. Rhodes, Michael Kreshchuk, Shivesh Pathak

“…Our work demonstrates that the use of advanced algorithmic techniques leads to dramatic reductions in the cost of simulating fundamental interactions, bringing it in step with resources required for first-principles quantum simulation of chemistry.…”
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A Study of Potential Applications of Student Emotion Recognition in Primary and Secondary Classrooms by Yimei Huang, Wei Deng, Taojie Xu

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Metro Train Operation Plan Analysis Based on Station Travel Time Reliability by Ruihua Xu, Fangsheng Wang, Feng Zhou

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Feather teaching and training based on Kinect sensor and gesture recognition technology by Luoluo Zhang, Pin Zhong

“…Therefore, this paper innovatively proposes a physical education teaching method based on multi-sensor equipment and posture recognition technology. …”
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Operation optimisation of direct current microgrids toward stability and economy: a model-data co-driven framework by Yuxin Zhu, Fei Wang, Zhengyu Lin, James Fleming

“…Case study illustrates that the proposed method is not affected by prediction errors and avoids the violation of stability constraints. …”
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Emerging opportunities and challenges for the future of reservoir computing by Min Yan, Can Huang, Peter Bienstman, Peter Tino, Wei Lin, Jie Sun

“…Shown to have the potential of achieving higher-precision prediction in chaotic systems, those pioneering works led to a great amount of interest and follow-ups in the community of nonlinear dynamics and complex systems. …”
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Novel machine learning driven design strategy for high strength Zn Alloys optimization with multiple constraints by Chenfeng Pan, Wenwen Lin, Jianxing Zhou, Wei Jian, Ka Chun Chan, Yuk Lun Chan, Lu Ren

“…Furthermore, a ML-based Zn alloy composition design system (ZACDS) was proposed by integrating the Bayesian optimization algorithm. A novel high-strength Zn alloy was successfully designed using ZACDS, demonstrating good agreement between predicted and experimental mechanical properties. …”
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