Using Adjoint-Based Forecast Sensitivity to Observation to Evaluate a Wind Profiler Data Assimilation Strategy and the Impact of Data on Short-Term Forecasts by Cheng Wang, Xiang-Yu Huang, Min Chen, Yaodeng Chen, Jiqin Zhong, Jian Yin

“…The FSO method measures the impact of an individual observing system, which can be used to enrich the evaluation of data assimilation schemes, efficiently calculate the impacts of multisource observations, and contribute to future development in adaptive observation, observation quality control, and observation error optimization.…”
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Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting by Jichang Zhang, Faisal Najeeb, Yulin Wang, Xinpei Wang, Pengfei Xu, Hammad Omer, Jianjun Zheng, Jingfeng Zhang, Sue Francis, Paul Glover, Richard Bowtell, Thomas Meersmann, Chengbo Wang

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Monolithic 3D Oscillatory Ising Machine Using Reconfigurable FeFET Routing for Large‐Scalability and Low‐Power Consumption by Joon Pyo Kim, Song‐Hyeon Kuk, Hyun Wook Kim, Jaeyong Jeong, Juhyuk Park, Bong Ho Kim, Jongmin Kim, Aida Todri‐Sanial, Sanghyeon Kim

“…The M3D OIM achieves low static power consumption while offering high reconfigurability. Through careful control of FeFET routing switches, weights of the Ising model are embedded in coupled biristors. …”
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The effectiveness of new technologies implementation in the surgical treatment of cereberal fractures of femur by A. V. Kalashikov, V. D. Malik, О. V. Kalashnikov

“…All patients were divided into two groups, first (control) group consisted of 50 patients with ceresville fractures of the femur who underwent the LIN by conventional methods. …”
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Intelligent integration of AI and IoT for advancing ecological health, medical services, and community prosperity by Abdulrahman Alzahrani, Patty Kostkova, Hamoud Alshammari, Safa Habibullah, Ahmed Alzahrani

“…The system employs AI models powered by IoT sensors for efficient waste collection, classification, and optimization of recycling schedules. …”
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Afatinib boosts CAR-T cell antitumor therapeutic efficacy via metabolism and fate reprogramming by Xi Zhang, Yue Liu, Yueyu Dai, Lingna An, Fangyuan Zhong, Shifeng Lou

“…Our results revealed that the pretreatment of AFA enables to boost CAR-T cells with strong antitumor cytotoxicity in leukemia mouse model.Conclusions Our study systematically demonstrated that AFA pretreatment effectively enhanced CAR-T cells antitumor performance, which presents a novel optimization strategy for potent and durable CAR-T cell therapy.…”
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The analysis of acquisition system for electronic traffic signal in smart cities based on the internet of things by Yue Ma, Chenglong Wang, Tianlei Fu, Ziting Meng

“…By optimizing the DL model and system design, the ability to acquire and process vehicle electronic information signals in the intelligent transportation system (ITS) is remarkably enhanced, providing more precise decision-making support for traffic management. …”
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Deep learning for property prediction of natural fiber polymer composites by Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko

“…Best DNN model architecture (four hidden layers (128–64–32–16 neurons), ReLU activation, 20% dropout, a batch size of 64, and the AdamW optimizer with a learning rate of $$10^{-3}$$ ) obtained through hyperparameter optimization using Optuna, delivered the best performance (R $$^2$$ up to 0.89) and MAE reductions of 9–12% compared to gradient boosting, driven by the DNN’s ability to capture nonlinear synergies between fiber-matrix interactions, surface treatments, and processing parameters while aligning architectural complexity with multiscale material behavior.…”
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Dynamic Coordination Mechanism of DFIGs Based on Inertia Response by Zhaorui LIU, Qi JIA, Gangui YAN, Wenchao ZHAI, Yong SUN, Baoju LI

“…It is then concluded that the inertia response of DFIG can be achieved by optimizing PLL control parameters when unbalanced power disturbance occurs in the system. …”
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The Formation of Artificial Data based on a Conveyor Enterprise by A. V. Zaripov, R. S. Kulshin, A. A. Sidorov

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Mask suitability recommendation based on facial image key feature dimension recognition by Xinjin YANG, Weiqun XIE, Zhenyu HUANG, Yixiong SHEN, Lin YE, Hai LI, Zhuobo YANG, Zhu LIAO, Simi LI

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Affordability of in vivo gene therapy. Problems and potential solutions by V. V. Omelyanovskiy, N. Z. Musina, V. A. Lemeshko, A. A. Antonov, F. V. Gorkavenko

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Active Power Allocation Method for Photovoltaic Cluster Considering Output and Electricity Price Uncertainty by Hua LI, Ziyue CHENG, Xudong LI, Zhenxing LI, Zhilei NIU, Bin CHEN, Yangze WANG

“…The conditional value-at-risk (CVaR) is introduced to quantify the uncertainty risk, and a regional PV cluster power allocation optimization model is established. Taking the minimum operating cost of the cluster as the optimization objective, the optimal day-ahead output plan and energy storage operation strategy are obtained. …”
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Prediction of functional outcomes in aneurysmal subarachnoid hemorrhage using pre-/postoperative noncontrast CT within 3 days of admission by Pengzhan Yin, Jiaqi Wang, Chao Zhang, Yongxiang Tang, Xiankuo Hu, Hongmin Shu, Jun Wang, Bin Liu, Yongqiang Yu, Yunfeng Zhou, Xiaohu Li

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液力机械式自动变速器换挡过程最优控制仿真研究 by 祝胜, 吴光强

“…The shift control is one of the key areas in automatic transmission control.The characteristic of shifting process of an automatic transmission is discussed and the state space equation with disturbance is established according to shifting process simplified model.Based on the linear quadratic optimal control theory,the simulation and study of the clutch torque control during shifting is carried out,with slip loss and jerk considered in the target function.The study result shows that the shifting process with optimal control applied presents good shift quality in different operating conduction.The jerk and slip loss during shifting are influenced by the input torque and the load resistance,among which the input toque has a greater contribution.Meanwhile,in system design aspect,the shift quality is also affected by equivalent rotary inertia of the turbine end and the vehicle mass.…”
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Long Short-Term Memory-Based Fall Detection by Frequency-Modulated Continuous Wave Millimeter-Wave Radar Sensor for Seniors Living Alone by Yun Seop Yu, Seongjo Wie, Hojin Lee, Jeongwoo Lee, Nam Ho Kim

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A new method for the experimental study of fatigue behaviour of thermoplastic materials by M. Basso, A. Crevatin, M. Celotto, M. Sanità

“…The target of the project is to find effective tools for predicting life endurance and damage evolution of plastic materials and components under mechanical/thermal service loading, in order to support the development of new material formulations and the design and optimization of structural components. In a particular way, we focussed our work in the characterization and modellization of materials durability and damage mechanisms. …”
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Machine learning insights into scapular stabilization for alleviating shoulder pain in college students by Omar M. Mabrouk, Doaa A. Abdel Hady, Tarek Abd El-Hafeez

“…Furthermore, the study employs optimization techniques, such as Hyperopt, scikit-optimize, optunity, GPyOpt, and Optuna, to fine-tune the exercise protocols for optimal outcomes. …”
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Nonlinear dynamic characteristics of modified variable hyperbolic circular arc tooth trace cylindrical gears by Dengqiu Ma, Zhenhuan Ye

“…Then, the controllable design model and tooth surface optimization design model were developed to calculate the best values of the modified parameters. …”
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Distributed Photovoltaic Power Energy Generation Prediction Based on Improved Multi-objective Particle Algorithm by Yuanzheng Xiao, Huawei Hong, Feifei Chen, Xiaorui Qian, Ming Xu, Hanbin Ma

“…Key results from two power stations included a maximum deviation of 6.2 MW at Power Station A, a peak time deviation of less than 0.1 MW at Power Station B, and a prediction interval error controlled below 30 MW at an 80% confidence level. The optimized LSTM-PSO model effectively captures DPV power generation dynamics, and the superior performance metrics demonstrate its potential for intelligent grid management. …”
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