Advanced thermal management in radiology equipment: Numerical and semi-analytical analysis of flat heat pipes by Maryam Johari, Hossein Ali Hoshyar, Davood Domiri Ganji

“…Advanced techniques—specifically the Least Squares Method (LSM) and the fourth-order Runge-Kutta-Fehlberg (RKF) algorithm, are employed to conduct a comprehensive analytical investigation of heat pipe performance. …”
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High resolution satellite imaging 0.5U-size freeform telescope for CubeSat by Jacek Wojtanowski

“…Freeform surfaces were described by shifted polynomial equations. In order to prevent optimization falling into numerous local minima of multi-variate merit function, the new design strategy was proposed. …”
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Prediction of Grain Yield in Henan Province Based on Grey BP Neural Network Model by Bingjun Li, Yifan Zhang, Shuhua Zhang, Wenyan Li

“…The forecasting results found that the growth rate of grain production in Henan Province slowed down and the center of gravity for grain production shifted northwards.…”
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A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification by Shousong Han, Zhiqiang Chao, Xiangbo Liu

“…Optimal scheduling of the semiactive hybrid damping control gain (csky, cground, chybrid) and self-adaptive control gain (cv) under different disturbances were realized by exploiting the particle swarm multiobjective optimization algorithm. An experimental study using a carefully designed test rig was performed under a number of typical riding conditions of tracked vehicles, and the results showed that the proposed control strategy is capable of accurately recognizing different disturbances, shifting between control modes (semiactive/self-adaptive), and scheduling the damping control gain according to the disturbance identification outcomes; hence, the proposed strategy could achieve a good trade-off between ride comfort and ride safety and efficiently increase the overall performance of the suspension under various riding conditions.…”
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Using artificial intelligence tools to predict and alleviate poverty by Ghada Alturif, Wafaa Saleh, Alaa A. El-Bary, Radwa Ahmed Osman

“…The findings show that the model can correctly forecast shifts in poverty levels, which is consistent with expected worldwide patterns. …”
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Suitability Analysis of Inverter Topologies and Their Modulation Strategies for Two-Phase Bearingless Motors by Qiang Ding, Xucong Bao

“…It is worth mentioning that the idea of carrier phase shifting is applied to the two-phase BM drive system in this paper to improve the system efficiency further. …”
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Wandering around: a bioinspired approach to visual attention through object motion sensitivity by Giulia D’Angelo, Victoria Clerico, Chiara Bartolozzi, Matej Hoffmann, P Michael Furlong, Alexander Hadjiivanov

“…Integrating event-based sensors with neuromorphic algorithms represents a paradigm shift, using spiking neural networks (SNNs) to parallelise computation and adapt to dynamic environments. …”
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Construction of a Prediction Model for Sleep Quality in Embryo Repeated Implantation Failure Patients Undergoing Assisted Reproductive Technology Based on Machine Learning: A Singl... by Zhao Y, Xu C, Qin N, Bai L, Wang X, Wang K

“…Use Lasso regression to screen variables and construct a risk prediction model using six machine learning algorithms. Evaluate the validity of the model using the area under the curve (AUC), and comprehensively evaluate the performance of the model based on F1 score, accuracy, sensitivity, and specificity. …”
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Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective S... by Chun-Chi Lai, Cheng-Yu Chen, Tzu-Hao Chang

“…Recent advancements in treatment have led to a shift in the use of chemotherapy-targeted immunotherapy from a postoperative adjuvant to a preoperative neoadjuvant approach in select cases, resulting in enhanced survival outcomes. …”
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Enhancing Adaptive Spectrum Access: An Intelligent Reflecting Surface Assisted CRN for Future Wireless Communication by Vishwas Srivastava, Binod Prasad

“…Additionally, we optimize the IRS phase shifts and ST’s transmit power using the Grey Wolf Optimization (GWO) algorithm. …”
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Modeling, Validation and Analysis of the Performance of Direct Air-Cooling Condensers for Mountainous Terrain by Xubo Lu, Hongyi Chen, Jingyao Wang, Huimin Wei, Xiaoze Du

“…On this basis, a clustering analysis algorithm was used to obtain the results of turbine zoning in different wind directions and to analyze the physical field shifts of the units caused by geographic factors.…”
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Microtubule flexibility, microtubule-based nucleation and ROP pattern co-alignment enhance protoxylem microtubule patterning by Bas Jacobs, Marco Saltini, Jaap Molenaar, Laura Filion, Eva E. Deinum

“…Microtubule-dependent nucleation helps to counteract this effect by gradually shifting nucleation from the gap regions to the bands as microtubules disappear from the gaps. …”
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A dynamic dietary-proportion model for polychlorinated biphenyl accumulation in juvenile bluefin tuna by Jiawen Hao, Yucong Liu, Yoshiki Nishi

“…These findings highlight the importance of incorporating growth-dependent dietary shifts into bioaccumulation models.…”
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Research on the optimal operation of a prosumer micro energy network centred on data centres by Yuanshi Zhang, Yiwu Ge, Shunjiang Wang, Weiqi Pan, Yiwen Feng, Peng Qiu

“…This paper establishes a refined process‐level load model for data centres by considering the temporal and spatial shifting characteristics of computational loads, effectively reflecting the intricate interactions between these loads and servers. …”
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Impact of rainy season on approach trajectories in high-altitude airport terminal maneuvering area: a clustering analysis by Jianxiong Chen, Jingtao Wang, Fan Li, Lin Zou

“…After data preprocessing, a clustering algorithm was used to identify trajectory patterns and detect outlier trajectories. …”
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Integrated production, quality and maintenance of multivariate processes with multiple assignable causes and timely restocking by Qiang Wan, Yanni An, Mei Zhu

“…The model accounts for multiple assignable causes and allows timely buffer replenishment. A genetic algorithm is utilized to minimize the expected total cost per cycle under statistical quality constraints. …”
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Digital Modeling for Scoping Review in Studying Intergenerational Social Capital in Organizations by N.V. Volkova, A.K. Bordunos, V.A. Chiker, L.G. Pochebut, S.A. Korableva

“…</strong>Scoping review (<em>k</em> = 129) using a topic modeling algorithm in the Python programming language.<br><strong>Conclusions. …”
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SEISMIC RESPONSE OF FRAME BUILDINGS WITH COMBINED EARTHQUAKE PROTECTION SYSTEM by Abakar J. Abakarov, Khadzhimurad M. Omarov

“…Horizontal shifting seismic forces, maximum mass movements and maximum movements of rubber-metallic seismic insulating supports at different intensities and prevailing periods of seismic soil oscillations were determined. …”
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INTELLIGENT TECHNOLOGY OF WAVELET ANALYSIS OF VIBRATION SIGNALS by A. V. Gulai, V. M. Zaitsev

“…Digital implementation of discrete indications of wavelets with the subsequent visualization of results in the form of scalotons is the mathematical basis of the algorithm for procession of vibration signals. It has been suggested that engineering analysis and reconstruction of signals should be implemented by means of directed and reverse continuous wavelet conversions, which are discrete by arguments. …”
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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

“…As damage severity increases, feature importance shifts from PGA to PGV, while site-specific variables (slope, Vs30) act as refiners rather than amplifiers of shaking. …”
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