Immune reconstitution efficacy after combination antiretroviral therapy in male HIV-1 infected patients with homosexual and heterosexual transmission by You Ge, Ying Zhou, Yahong Liu, Jing Lu, Tao Qiu, Ling-En Shi, Zhi Zhang, Haiyang Hu, Pingmin Wei, Gengfeng Fu

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Assessment of RT-qPCR normalization strategies for accurate quantification of extracellular microRNAs in murine serum. by Thomas C Roberts, Anna M L Coenen-Stass, Matthew J A Wood

“…We conclude that the optimal strategy for this model system is to normalize to a synthetic spike-in control oligonucleotide.…”
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Research on deep reinforcement learning based intelligent shop scheduling method by Zihui LUO, Chengling JIANG, Liang LIU, Xiaolong ZHENG, Huadong MA

“…The unprecedented prosperity of the industrial internet of things (IIoT) has opened up a new path for the traditional industrial manufacturing model.Intelligent shop scheduling is one of the key technologies to achieve the overall control and flexible production of the whole production process.It requires an effective plan with a minimum makespan to allocate multiple processes and multiple machines for production scheduling.Firstly, the shop scheduling problem was defined as a Markov decision process (MDP), and a shop scheduling model based on the pointer network was established.Secondly, the job scheduling process was regarded as a mapping from one sequence to another, and a new shop scheduling algorithm based on deep reinforcement learning (DRL) was proposed.By analyzing the convergence of the model under different parameter settings, the optimal parameters were determined.Experimental results on different scales of public data sets and actual production data sets show that the proposed DRL algorithm can obtain better performances.…”
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Simulation Study on Driving Force Distribution Pattern and Four-wheel Independent Drive System by Chi Peng, Wang Shukun

“…A platform physical model with four-wheel independent drive is set up according to the real vehicle structure,and the virtual prototype model is built based on the ADAMS software. …”
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Patient-centered integration of the treatment and prevention of cardiovascular diseases in the community: a digital intelligence exploration by Zhaoyuan Zhou, Xiaotong Gao, Meichen Jiang, Jiachun Wang, Qiang Zhang, Zhen Wang, Zhe Yan, Kai Yu, Xinyue Chen, Xiaoqing He, Shuang Wang

“…Multivariate logistic regression analysis revealed that employment status, nondiabetes status, a family history of stroke, and receiving lipid-lowering treatment were associated with better control.ConclusionThis DITP model will help actively improve the health of elderly high-risk stroke patients in the long term and should be further applied and promoted in primary healthcare in the future.…”
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Transfer Learning for Facial Expression Recognition by Rajesh Kumar, Giacomo Corvisieri, Tullio Flavio Fici, Syed Ibrar Hussain, Domenico Tegolo, Cesare Valenti

“…Our findings emphasize the potential of deep learning-based facial expression recognition in healthcare applications while underscoring the importance of dataset-specific model optimization to improve generalization across different data distributions. …”
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Development and assessment of an early diagnostic approach for painful diabetic peripheral neuropathy using basic clinical and laboratory parameters by Yue Yang, Lu Liu, Hui-Hui Wang, Yan Lu, Jiang-Ping Li, Ping Liu, Zi-Cheng Hu, Xiao Yang

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Research on location algorithm of opencast mine vehicle based on improved adaptive H ∞ CKF and IAGA by Zhen Yang, Liwen Ji, Xin Li, Haoyuan Liu, Jianxiong Li, Dianxing Sun, Ruiheng Sun

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Current situation of family doctor contracting program: A survey of the perspective of general practitioners by Aihua HAO, Weilin ZENG, Guanhai LI, Yinghua XIA, Liang CHEN

“…GPs with higher educational levels, managerial roles, and access to hospital bed resources possess a more profound understanding and control over family doctor contract service policies, leading to optimized management of contracted individuals. …”
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Artificial intelligence approach to magnetohydrodynamic flow of non-Newtonian fluids over a wedge: Thermophoresis and Brownian motion effects by Talal Taha, Sohaib Abdal, Liaqat Ali, Rana Muhammad Zulqarnain, Se-Jin Yook

“…ODEs are first solved numerically using MATLAB’s bvp4c function, a known solver of boundary value problems known to solve complex ODEs within fluid dynamics very effectively. Further optimization and simplification of the analysis are achieved by using an artificial neural networking base Levenberg Marquardt algorithm (ANN-LMA) model. …”
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Machine learning-based approach for bandwidth and frequency prediction of circular SIW antenna by Md Mahabub Alam, Nurhafizah Abu Talip Yusof, Ahmad Afif Mohd Faudzi, Md Raihanul Islam Tomal, Md Ershadul Haque, Md. Suaibur Rahman

“…Abstract Machine Learning (ML) has significantly transformed antenna design by enabling efficient optimization of geometrical parameters, modeling complex electromagnetic behavior, and accelerating performance prediction with reduced computational cost. …”
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Recognition of Handwritten Characters in Birch-Bark Manuscripts via Object Detection by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

“…The best-performing model, YOLOv10, reached an initial mAP of 0.85 on synthetic data prior to hyperparameter optimization (HPO) and was further optimized—via anchor reconfiguration and learning-rate scheduling—to achieve mean average precision (mAP) 0.89. …”
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Diabetes mortality burden attributable to influenza in China: A population-based time-series analysis by Suijun Tong, Peng Yin, Jianhong Li, Zhenping Zhao, Yuchang Zhou, Maigeng Zhou

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Exploring the Flow and Mass Transfer Characteristics of an All-Iron Semi-Solid Redox Flow Battery by Heyao Li, Zhuqian Zhang, Haojie Zhang, Yuchen Zhou

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Application of stem cells in guided bone regeneration by N. S. Chumakov, K. A. Khlystova, N. G. Sarkisyan, F. A. Fadeev, M. M. Mamedov

“…The performed study allows us to determine the developed treatment method as capable of fully recreating the conditions of bone repair processes, taking into account the optimization of the body’s immune reactions and repair processes, without additional external influence, to obtain predictable and controllable results.…”
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Quantification and clustering of immune states in hepatitis B Cirrhosis by Wei Hou, Tengxiao Liang, Fangliang Xing, Zhongjie Hu

“…This study aims to quantify and visualize the relationships among T cells, NK cells, and B cells to aid in assessing immune status, diagnosing the condition, and optimizing treatment strategies. Methods: Peripheral blood samples were collected from 500 patients diagnosed with Hepatitis B Cirrhosis and 500 healthy controls. …”
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DEVELOPMENT OF HEALTH INSURANCE CLAIM PREDICTION METHOD BASED ON SUPPORT VECTOR MACHINE AND BAT ALGORITHM by Syaiful Anam, Abdi Negara Guci, Fery Widhiatmoko, Mila Kurniawaty, Komang Agus Arta Wijaya

“…BA has a faster convergence rate than other algorithms, for example Particle Swarm Optimization (PSO). Based on this situation, this paper offers the new classification model for predicting health insurance claim based on SVM and BA. …”
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An Active Frequency Support Strategy for Costal Wind Farms in East China by Jianhua LI, Lu CAO, Renxin YANG, Zhenyan DENG, Zheng LI, Xu CAI

“…The simulation results show that when the penetration of renewable energy in the East China Grid is higher than 30%, the inertia response of wind power plays an obvious role in increasing the frequency nadir of the grid, and with the rapid growth of the capacity of coastal wind farms, it is indispensable for wind turbines to provide active inertia support; the virtual inertia time constant of wind turbines should be set around the physical inertia time constant of the wind turbines; when wind turbines are needed to participate in the primary frequency regulation (PFR), the pitch system control of wind turbines and the PFR control of synchronous generators should be co-optimized to avoid frequency oscillation. …”
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Following Consistency of Energy-Saving Operation for Urban Rail Trains Based on Event Triggering Mechanism by Ruxun Xu, Jianjun Meng, Juhui Zhang, Xiaoqiang Chen, Decang Li

“…Not only to constantly update the consistency controller and save communication resources but also to optimize the energy-saving effect, the consistency algorithm of event triggering was used to search for the optimal operating conditions of trains and the energy-saving operation scheme for multiple trains was established. …”
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Multi-agent maglev harmonic prediction algorithm based on integrated attention mechanism by WANG Zongyan, MAO Zhongya, HUANG Shize, GUO Qiyi

“…To mitigate the impact of high-speed maglev harmonics on the traction power supply network and address the time lag in harmonic control, predicting harmonic current is commonly necessary. …”
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