A Novel Complex Event Processing Engine for Intelligent Data Analysis in Integrated Information Systems by Dong Wang, Mingquan Zhou, Sajid Ali, Pengbo Zhou, Yusong Liu, Xuesong Wang

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Study on Model and Tests of Sheet Pile Wall with a Relieving Platform by Ming Zhang, Wei Wang, Ronghua Hu, Ziyi Wang

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Quantifying the Carbon Reduction Potential of Urban Parks Under Extreme Heat Events Using Interpretable Machine Learning: A Case Study of Jinan, China by Lemin Yu, Wenru Li, Changhui Zheng, Xiaowen Lin

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Additive Manufacturing Enabled by Electrospinning for Tougher Bio-Inspired Materials by Komal Agarwal, Yinning Zhou, Hashina Parveen Anwar Ali, Ihor Radchenko, Avinash Baji, Arief S. Budiman

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Intensity of water consumption in separate water collection points of internal water supply system by D. E. Polivanov, A. A. Semenov

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Organic Amendments Enhance the Remediation Potential of Economically Important Crops in Weakly Alkaline Heavy Metal-Contaminated Bauxite Residues by Xingfeng Zhang, Qiankui Yu, Bo Gao, Maosheng Hu, Hongxu Chen, Yexi Liang, Haifeng Yi

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Multidimensional QoS cloud computing resource scheduling method based on stakeholder perspective by Mingfeng SU, Guojun WANG, Renfa LI

“…A multidimensional cloud computing architecture is designed and a multidimensional cloud resource scheduling model is constructed based on the stakeholder perspective of cloud users and cloud service providers to meet the high QoS requirements of cloud users (such as task execution time and task completion time) with low computing costs (such as energy consumption,economic costs and system availability).For the second-level cloud resource scheduling,an MQoS cloud resource scheduling algorithm based on multiple Greedy algorithm is proposed.The experimental results show that under the four cloud computing application scenarios with no aftereffects,the MQoS cloud resource scheduling algorithm has an overall increase of 206.42%~228.99% and 34.26%~56.93 in terms of multidimensional QoS degree compared with FIFO and M2EC algorithms.It has an average overall reduction of 0.48~0.49 and 0.20~0.27 in terms of cloud data center load balance difference.…”
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Des compétences clés européennes au Socle commun français : importation d’un nouveau paradigme et réaffirmation des fondamentaux de l’École républicaine by Jean-François Nordmann

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The Application of Counter-Rotating Turbine in Rocket Turbopump by Tang Fei, Zhao Xiaolu, Xu Jianzhong

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Software reliability prediction with an improved Elman network model by CHENG Xu-chao1, CHEN Xin-yu1, GUO Ping1

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Research on Design and Application of National Fitness System by Shengyou Wang

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Mega LEO Satellite Constellations Networking: Challenges and Key Technologies by SUN Yaohua, FENG Xinao, PENG Mugen

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Simulation of the Flexural Response of Ultrahigh Performance Fiber-Reinforced Concrete with Lattice Fracture Model by Chunping Gu, Qiannan Wang, Wei Sun

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Building Bodies, Constructing Selves by Sandra Louise Kaji-O'Grady, Sarah Manderson

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Improved Maximum Likelihood S-FSK Receiver for PLC Modem in AMR by Mohamed Chaker Bali, Chiheb Rebai

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Bearing Fault Diagnosis Method based on Sensitive Component and MCPG by Mingliang Zhang, Hongkun Li, Yue Ma, Gangjin Huang, Yuchen Xu

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DLD: An Optimized Chinese Speech Recognition Model Based on Deep Learning by Hong Lei, Yue Xiao, Yanchun Liang, Dalin Li, Heow Pueh Lee

“…Therefore, leveraging the strengths of DCNN, LSTM, and DNN by combining them into a unified architecture can effectively improve speech recognition performance. …”
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Enhancing sustainability in LNG carriers through integrated alternative propulsion systems with Flettner rotor assistance by Nader R. Ammar, Ibrahim S. Seddiek

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Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin by Jeffrey Huang, Simon Elias Bibri, Paul Keel

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Abdominal fat distribution and its relationship to brain changes: the differential effects of age on cerebellar structure and function: a cross-sectional, exploratory study by Yvonne Böttcher, Michael Stumvoll, Kees Straatman, Matthias Raschpichler, Matthias Leopold Schroeter, Katrin Arelin, Haiko Schlögl, Dominik Fritzsch, Meinhard Mende, André Pampel, Arno Villringer, Karsten Mueller

“…Moreover, we aimed to investigate whether these effects change with age.Design Cross-sectional, exploratory.Setting University Clinic, Integrative Research and Treatment Centre.Participants We included 100 (mean BMI=26.0 kg/m², 42 women) out of 202 volunteers randomly invited by the city's registration office, subdivided into two age groups: young-to-mid-age (n=51, 20–45 years of age, mean BMI=24.9, 24 women) versus old (n=49, 65–70 years of age, mean BMI=27.0, 18 women).Main outcome measures VAT, BMI, subcutaneous abdominal adipose tissue, brain structure (grey matter density), functional brain architecture (eigenvector centrality, EC).Results We discovered a loss of cerebellar structure with increasing VAT in the younger participants, most significantly in regions involved in motor processing. …”
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