基于工作空间的航空发动机柔性工装尺度优化及刚度分析 by 石宏, 李伟楠, 陈亮, 朱宁, 金印

“…Based on the study of flexible assembly tooling configuration on aero-engine,he workspace of aero-engine flexible assembly tooling is calculated,and a mathematic model is set up by Monte Carlo method,the design parameter dimensional optimization for workspace is carried out,then the global condition number for construction of different sizes is solved,the result is used for the optimization of machine kinematic.At last the conservative congruence transformation（CCT）stiffness matrix is derived,and stiffness mapping in the direction of X,Y,Zis simulated.These results are applied for the analysis and discuss of stiffness.This work has outstanding theoretical significance for assembly accuracy improvement,optimizing assembly performance,pose and position reasonable selection during the assembly and dimensional optimization.…”
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Analysis of the Stability of the Riemann Problem for a Simplified Model in Magnetogasdynamics by Yujin Liu, Wenhua Sun

“…The generalized Riemann problem for a simplified model of one-dimensional ideal gas in magnetogasdynamics in a neighborhood of the origin (t>0) in the (x,t) plane is considered. According to the different cases of the corresponding Riemann solutions, we construct the perturbed solutions uniquely with the characteristic method. …”
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Evolution strategy of 5G network based on cloud-native computing by Jian SU

“…Cloud-native computing which is from IT domain covers a range of paths and methods that apply to different industries and also meet the needs of business diversity.Based on the 5G service-based architecture,advantages and challenges of introducing cloud-native computing into telecommunication networks were analyzed,cloud-native computing design,deployment and operation methods for telecommunication networks were introduced,the common principles of cloud-native computing that can be adopted by communications service providers were discussed,in order to promote the transformation of traditional telecommunication networks into 5G smart networks.…”
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Fusing multiple source data for foundation excavation risk assessment based on cloud model and Dempster Shafer evidence theory by Yue An, Liuyang Li, Haoyuan Gao, Zhihao Luo, Yuefang He

“…By leveraging these databases, the CM generates the membership degrees for various evaluation indicators across different risk levels, which are then transformed into basic probability assignments within the D–S evidence theory. …”
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Lie symmetry analysis and solitary wave solution of biofilm model Allen-Cahn by Muhammad Shakeel, Naseem Abbas, Muhammad Junaid U. Rehman, Fehaid Salem Alshammari, Abdullah Al-Yaari

“…Using a transformation method, the nonlinear partial differential equations (NPDEs) are converted into various nonlinear ordinary differential equations (NLODEs), providing the numerous closed-form solitary wave solutions. …”
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Sociocultural dynamics of nutrition practicies by M. A. Sharova

“…The modern trend of transformation of the food value from terminal to instrumental is revealed.…”
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Marxist Theory in Critical Transitions: The Democratization of the Media in Post-Neoliberal Argentina by Pablo Castagno

“…Specifically looking into the transformation of media policy in the case of Argentina, this article problematizes the different political forms through which the state has cloaked its fundamental contradiction: alleged representation of the general interests of citizens, when explored in critical depth, reveals the state’s actual adjustment to a process of capitalist transnationalization that increases irrationality, social inequality and misery. …”
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Discovering the Learning Voice by Mary Ott, Jessica Robertson

“…This paper conceptualizes the influence of transmodality in the psychological process of self-authorship. Utilizing a method of narrative inquiry to revisit a course on life-long learning and meaning-making, we explore an example of transformative change in how one student came to trust their voice as a learner and educator. …”
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Analysis and Optimization of SUV Drive Axle Abnormal Sound by Lü Chenming, Wang Tie, Zhang Ruiliang, Wang Daoyong

“…Then,by using finite element method,the vibration response of the vehicle under different frequencies is analyzed,the fourth the frame supports is the key point while transfer vibration is identified,the cavity modes and noise amplification is caused.The experimental results are consistent with the results of finite element simulation. …”
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e-Site Analysis: Process Design of Site Utility Systems With Electrification for Process Industries by Jin-Kuk Kim

“…The new design framework is developed for the transformation of conventional steam-based utility systems to electricity-based ones. …”
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Research on Heat Transfer Coefficient Prediction of Printed Circuit Plate Heat Exchanger Based on Deep Learning by Yi Su, Yongchen Zhao, Jingjin Wu, Ling Zhang

“…Additionally, this study introduces the SHAP interpretable analysis method to elucidate model predictions, revealing the contributions of different features to model outputs. …”
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Under the shadows of business as usual: Nationally Determined Contribution (NDC) for climate action by Netty S. R. Naiborhu, Josua Hari Mulya, Nicken Sarwo Rini, Nanda Vico

“…The problem of climate change in Southeast Asia requires a comparative legal method. The legal comparison method is used to compare efforts made to address climate change through conceptual among Southeast Asian countries policy Nationally Determined Contribution Included Philippines, Indonesia and Thailand. …”
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Leveraging Synthetic Data for Improved Manipuri-English Code-Switched ASR by Naorem Karline Singh, Wangkheimayum Madal, Chingakham Neeta Devi, Hoomexsun Pangsatabam, Yambem Jina Chanu

“…We test our data augmentation method by using two parallel text corpora that we have developed. …”
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Scalable Deep Learning Framework for Public Transit Sign Detection by N. Savioli, E. Turkoz, T. Neumann, L. Liu, Y. Wang, Y. Zhang

“…As a significant contribution, we introduce the first dataset dedicated to public transit signs, consisting of 2,300 manually annotated images from multiple European cities. Our method significantly outperforms existing Swin Transformer-based detection models in real-world tests. …”
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Scenario modelling of the impact of the dynamics of public debt on the gross regional product of Russian regions by I. V. Naumov, N. L. Nikulina

“…The scientific novelty of the research consists in the development of a methodological approach to modelling and scenario forecasting of the level of GRP of different groups of regions, taking into account the dynamics of changes in their public debt using ARIMA modelling methods and panel regression analysis. …”
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COMPRESSIVES IN STUDENT DISCOURSE OF THE INDO-EUROPEAN LANGUAGE ENVIRONMENT by Natalia V. Diachok.

“…The distributive analysis is used to specify the forms of transformation of nominative units. Student discourse is a field of language functioning that produces neologisms resulting from different types of compression. …”
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Enhanced multi-scale detection of olive tree crowns in UAV orthophotos using a deep learning architecture by Youness Hnida, Mohamed Adnane Mahraz, Ali Yahyaouy, Ali Achebour, Jamal Riffi, Hamid Tairi

“…Object detection in agriculture is vital for identifying and mapping agricultural areas, especially with the growth of precision farming technologies. Traditional methods for counting and yield estimation are time-consuming and demand significant physical effort, presenting substantial challenges for farmers. …”
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System Elegant-frequency Characteristics, Wave-sign Diagrams and Stability Criterion by ZHU Ming, YU Jiaxuan, MIAO Yuhui, ZHU Jiahui

“…Frequency domain method is a crucial technique for analyzing systems in classical control theory, relying primarily on logarithmic frequency characteristics. …”
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Respiratory Motion Correction for Compressively Sampled Free Breathing Cardiac MRI Using Smooth l1-Norm Approximation by Muhammad Bilal, Jawad Ali Shah, Ijaz M. Qureshi, Kushsairy Kadir

“…Simulation results show improved structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), and mean square error (MSE) with different acceleration factors for the proposed method. …”
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Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning by Nakahara Hiroshi, Takeda Kazuya, Fujii Keisuke

“…Here, we propose a new method for estimating the effect using counterfactual batting simulation. …”
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