Prognostic significance of p27 in colorectal cancer: a meta-analysis and bioinformatics analysis by Jing Zou, Dong Wang, Gaoping Yin, Kexiang Lu, Kaibin Chang, He Li

“…BackgroundIn the past, numerous investigations have delved into the influence of p27 (p27kip) on the prognosis and clinicopathological characteristics of colorectal cancer (CRC), yielding conclusions that are not universally statistically significant, thus rendering the discourse rather contentious.MethodsWe collected available articles published before August 2024 and extracted data to analyze the association between the expression of p27 and the prognosis and clinicopathological features of CRC. …”
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Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications by Jia Wu, Shirui Pan, Chuan Zhou, Gang Li, Wu He, Chengqi Zhang

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Dynamics Modeling and Simulation of Gear Transmission System of Shift Mechanism for 4WD Transfer Case by Gao Yangyang, He Feng, Zhang Yongde, Li Jiajun, Guo Chaolun, Huang Wei

“…Lab Motion platform. Considering the time-varying meshing stiffness of the internal excitation of the gear,the BDF method is used to solve the problem. …”
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Comprehensive Evaluation and Decision for Goaf Based on Fuzzy Theory in Underground Metal Mine by Rongxing He, Huan Liu, Fengyu Ren, Guanghui Li, Jing Zhang, Yanjun Zhou

“…Firstly, the goaf stability model was established by a two-layer fuzzy comprehensive evaluation. It took into account 12-factor indexes of goaf with engineering empirical approaches and divided them into 3 categories according to their engineering categories. …”
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Hierarchical proxy consensus optimization for IoV based on blockchain and trust value by Baoqin ZHAI, Jian WANG, Lei HAN, Jiqiang LIU, Jiahao HE, Tianhao LIU

“…With the rapid development of Internet of vehicles, 5G and artificial intelligence technologies, intelligent transportation has become the development trend of transportation technology.As a vehicle-vehicle and vehicle-road information interaction platform, the Internet of vehicles is the basic support platform for intelligent traffic information sharing and processing.At the same time, the security of Internet of vehicles has attracted much attention, especially data security which may cause user privacy leakage.The blockchain technology has become a solution, but it still faces new challenges in efficiency, security and other aspects.With the increase of vehicle nodes and information, how to efficiently achieve information consensus in high-speed vehicle moving environment has become a key problem.Then a bottom-up RSU (road side unit) chain consensus protocol was proposed based on blockchain and trust value.Several typical consensus structures were compared, and bottom-up two-layer consensus structure was adopted according to the actual scenarios of the Internet of vehicles.Moreover, a group leader node election algorithm was proposed which is based on node participation, work completion and message value.The system security was ensured by assigning trust value to each vehicle.Following the consensus structure and algorithm work mentioned above, the specific process of the protocol was comprehensively described, which was divided into six steps: region division, group leader node selection, local consensus, leader primary node selection, global consensus, and intra-domain broadcast.Then the experiments were analyzed from four aspects: security, communication complexity, consensus algorithm delay and fault tolerance rate.Experiments showed that, compared with other schemes, the proposed protocol can effectively reduce communication complexity and shorten consensus delay under the condition of resisting conspiracy attack, witch attack and other attacks.On the premise of security, the protocol improves fault tolerance rate and enables more nodes to participate in information sharing to satisfy the requirements of Internet of vehicles scenarios.…”
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A lightweight privacy-preserving truth discovery mechanism for IoT by Yingjie HE, Qiwei LI, Han SUN, Di GAO, Jianfeng DONG, Shuhua YANG

“…In order to solve diverse quality and privacy leakage of perceived data in fog-cloud integrated internet of things (IoT), a streaming encryption-based privacy-preserving truth discovery mechanism for IoT was proposed.Firstly, by utilizing shuffling and streaming encryption algorithms, the ground truths and the weights were anonymously updated on the cloud server and fog server, respectively, so that the collusion attacks between malicious attackers and cloud or fog servers could be resisted to defend against privacy leakage of IoT devices.Secondly, by adopting the Softmax function, the device weights were calculated on fog server, which reduces the error rate for calculating the ground truths.Finally, the theoretical analysis proved that the mechanism could protect privacy of the devices.And, the experimental results demonstrate that the proposed mechanism is an effective privacy-preserving trust discovery mechanism for large-scale IoT devices, which can outperform existing ones in computing efficiency.…”
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Phylogenetic analysis and detection of positive selection in the SIRT gene family across vertebrates by Qiuxi Zhou, Xiongtao Yang, Da Li, Jing Li, Ling Peng, Wenwu He

“…Insights into the evolution of these genes may enhance our understanding of their roles in disease pathology. Seventy-three amino acid sequences and full-length mRNA sequences from 22 vertebrate species and one invertebrate were retrieved from public databases. …”
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Three-Dimensional Numerical Simulation of Multiscale Fractures and Multiphase Flow in Heterogeneous Unconventional Reservoirs with Coupled Fractal Characteristics by Hong Li, Haiyang Yu, Nai Cao, Shiqing Cheng, He Tian, Shiying Di

“…The results show that it is difficult to characterize complex reservoirs using a homogeneous permeability model. Thus, it is best to use a heterogeneous model that considers permeability differences in tight reservoirs. …”
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Mathematical model for droplet size prediction of gas-water nozzle based on orthogonal experiment by Xin WANG, Wenpu LI, He SHAO, Yiyi ZHENG, Yurong GAO, Xi CHEN

“…The calculated values of the multivariate nonlinear prediction model are consistent with the experimental results, and the average relative error is 8.0%, which can be used to predict the droplet size of air atomization nozzle.…”
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Experiment of Carbonate Dissolution: Implication for High Quality Carbonate Reservoir Formation in Deep and Ultradeep Basins by Zhiliang He, Qian Ding, Yujin Wo, Juntao Zhang, Ming Fan, Xiaojuan Yue

“…The type of fluid and rock largely determines the reservoir quality. …”
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Research and Design of High Altitude Wind Power Station Operation and Maintenance Auxiliary System by Hang HE, Shaoyong WANG, Jiakang ZHOU, Yuan YANG, Wenjun ZHANG, Kan LIN

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Insights from a cluster of tuberculosis outbreak in a psychiatric hospital—Shandong Province, 2024 by Shulei Wang, Peilin Diao, Jingyu Liu, Shiwen Wang, Yuelei Wang, Xiaomin He

“…To enhance outbreak prevention, medical institutions should clarify whether TB patients with a history of mental illness have been admitted in psychiatric hospitals and, if so, initiate timely outbreak alerts. …”
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County-Scale Spatial Distribution of Soil Enzyme Activities and Enzyme Activity Indices in Agricultural Land: Implications for Soil Quality Assessment by Xiangping Tan, Baoni Xie, Junxing Wang, Wenxiang He, Xudong Wang, Gehong Wei

“…The spatial variations in activities of five hydrolytic enzymes were examined using geostatistical methods. The relationships between soil enzyme activities and other soil properties were evaluated using both an integrated total enzyme activity index (TEI) and the geometric mean of enzyme activities (GME). …”
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Experimental and numerical simulation of the attenuation effect of blast shock waves in tunnels at different altitudes by Changjiang Liu, Hujun Li, Zhen Wang, Yong He, Guokai Zhang, Mingyang Wang

“…The average error between the peak shock wave overpressure obtained using the overpressure prediction formula and the measured test data was less than 15%, the average error between the propagation velocity of shock waves predicted values and the test data is less than 10%. …”
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Statistical analysis on application and funding of the National Natural Science Foundation of China in the area of “information and communication systems” in 2023 by Ling SUN, Jie HU, Yongcheng LI, Jun WEN, Jie HE, Ke LIU

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JOINT OPTIMIZATION OF TOPOLOGY AND SIZE BASED ON MODAL ANALYSIS OF 750 POWER HEAD GEARBOX (MT) by LUO QingYi, MEI Qi, HU XiaoBing, LI-HE YuQiu

“…The Genesis module in the Ansys Workbench simulation platform was used to analyze the modal topology of the gearbox. …”
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Behavioral representations within the endogenous dual attentional pathways during audiovisual integration processing by Zhongtian Guan, Mingli Yan, Miao He, Yubo Liu, Zhixi Zhang, Chunlin Li

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Experimental research on mechanical and impact properties of ceramsite prepared from secondary aluminum dross and municipal solid waste incineration ash by Wangze He, Yufei Yang, Xinghan Zhu, Jinzhong Yang, Yingjie Sun, Qifei Huang

“…In this research, ceramsite is prepared using SAD, MSWIFA, and municipal solid waste incineration bottom ash (MSWIBA) as raw materials. …”
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Enhanced deep deterministic policy gradient algorithm by Jianping CHEN, Chao HE, Quan LIU, Hongjie WU, Fuyuan HU, Qiming FU

“…With the problem of slow convergence for deep deterministic policy gradient algorithm,an enhanced deep deterministic policy gradient algorithm was proposed.Based on the deep deterministic policy gradient algorithm,two sample pools were constructed,and the time difference error was introduced.The priority samples were added when the experience was played back.When the samples were trained,the samples were selected from two sample pools respectively.At the same time,the bisimulation metric was introduced to ensure the diversity of the selected samples and improve the convergence rate of the algorithm.The E-DDPG algorithm was used to pendulum problem.The experimental results show that the E-DDPG algorithm can effectively improve the convergence performance of the continuous action space problems and have better stability.…”
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Influence of Full-Life Cycle Wheel Profile on the Contact Performance of Wheel and Standard Fixed Frog in Heavy Haul Railway by He Ma, Jinming Zhang, Jun Zhang, Tao Tao Jin, Chun Yu Song

“…The coupling dynamic models of the vehicle-fixed frog system are established to calculate the change regulation of displacement, contact force, and acceleration when a vehicle passes through the standard fixed frog at a speed of 50 km/h in the facing move in the diverging line. …”
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