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Dialectical study of disulfidptosis and clinical outcome in patients with colorectal cancer

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Traditional Medicine Research 2024年第10期9卷 52-63页

作者： Hua-Mei Zhu Yu-tao Chen Yang Ye Yue-Feng Hu Department of Orthopaedics The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical UniversityWenzhou 325000China The Second School of Medicine Wenzhou Medical UniversityWenzhou 325000China

Background:Colorectal cancer(CRC)is a leading cause of cancer mortality *** study aims to develop a prognostic model based on disulfidptosis-related genes to assess survival outcomes in CRC,highlighting the tumor microenvironment’s ***:The thought of traditional Chinese medicine syndrome differentiation and treatment runs through the whole *** analyzed CRC tissue data from The Cancer Genome Atlas and the Gene Expression Omnibus using single-sample gene set enrichment and weighted gene correlation network analyses to identify prognostic markers and evaluate immune *** also investigated predictive drug ***:We identified seven disulfidptosis-related markers–complement C1q A chain(C1qA),solute carrier family 11 member 1(SLC11A1),cluster of differentiation 36(CD36),cluster of differentiation 6(CD6),interleukin 1 receptor associated kinase 3(IRAK3),S100 calcium binding protein A8(S100A8),and CD8 subunit alpha(CD8A)–that significantly influence *** classified in the low-risk group demonstrated improved overall survival compared to those in the high-risk group across training(P=0.0026)and validation cohorts(P=0.032).Differential gene expression was significant in the high-risk group(P<0.001),and prevalent mutations included APC regulator of WNT signaling pathway(APC),tumor protein P53(TP53),Titin(TTN),and Kirsten rat sarcoma viral oncogene(KRAS).The risk score correlated linearly with tumor microenvironment *** results of drug analysis showed that some traditional drugs may have anticancer effects through the vertical action of ***:Our prognostic model,integrating seven disulfidptosis-related genes,categorizes CRC patients by survival probability and underscores these genes as potential biomarkers linked to the tumor *** findings support their use in refining therapeutic strategies for CRC.

关键词： colorectal cancer tumor microenvironment disulfidptosis WGCNA LASSO regression

Complementary monogamy and polygamy properties among multipartite systems

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Chinese Physics B 2024年第3期33卷 207-213页

作者：李陶周静怡孙琪靳志祥梁登峰罗婷 School of Mathematics and Statistics Beijing Technology and Business UniversityBeijing 100048China School of Computer Science and Techonology Dongguan University of TechnologyDongguan 523808China People's Public Security University of China Academy of Information Network SecurityBeijing 100038China

Monogamy and polygamy relations are essential properties of quantum entanglement,which characterize the distributions of entanglement in multipartite *** this paper,we establish the general monogamy relations forγ-th(0≤γ≤α,α≥1)power of quantum entanglement based on unified-(q,s)entanglement and polygamy relations forδ-th(δ≥β,0≤β≤1)power of entanglement of assistance based on unified-(q,s)entanglement of assistance,which provides a complement to the previous research in terms of different parameter regions ofγandδ.These results are then applied to specific quantum correlations,e.g.,entanglement of formation,Renyi-q entanglement of assistance and Tsallis-q entanglement of assistance to get the corresponding monogamy and polygamy ***,typical examples are presented for illustration.

关键词： monogamy relation polygramy relation

Short-term train arrival delay prediction:a data-driven approach

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Railway Sciences 2024年第4期3卷 514-529页

作者： qingyun Fu Shuxin Ding tao Zhang Rongsheng Wang Ping Hu Cunlai Pu Postgraduate Department China Academy of Railway SciencesBeijingChina Signal and Communication Research Institute China Academy of Railway Sciences Corporation LimitedBeijingChina Traffic Management Laboratory for High-Speed Railway National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail TransitBeijingChina Scientific and Technological Information Research Institute China Academy of Railway Sciences Corporation LimitedBeijingChina Yibin Track Signal and Communication DepotChina Railway Chengdu Group Co.LtdChengduChina School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjingChina

Purpose-To optimize train operations,dispatchers currently rely on experience for quick adjustments when delays ***,delay predictions often involve imprecise shifts based on known delay ***-time and accurate train delay predictions,facilitated by data-driven neural network models,can significantly reduce dispatcher stress and improve adjustment *** current train operation data,these models enable swift and precise predictions,addressing challenges posed by train delays in high-speed rail networks during unforeseen ***/methodology/approach-This paper proposes CBLA-net,a neural network architecture for predicting late arrival *** combines CNN,Bi-LSTM,and attention mechanisms to extract features,handle time series data,and enhance information *** on operational data from the Beijing-Tianjin line,it predicts the late arrival time of a target train at the next station using multidimensional input data from the target and preceding ***-This study evaluates our model’s predictive performance using two data approaches:one considering full data and another focusing only on late *** show precise and rapid *** with full data achieves aMAEof approximately 0.54 minutes and a RMSEof 0.65 minutes,surpassing the model trained solely on delay data(MAE:is about 1.02 min,RMSE:is about 1.52 min).Despite superior overall performance with full data,the model excels at predicting delays exceeding 15 minutes when trained exclusively on late *** enhanced adaptability to real-world train operations,training with full data is ***/value-This paper introduces a novel neural network model,CBLA-net,for predicting train delay *** innovatively compares and analyzes the model’s performance using both full data and delay data ***,the evaluation of the network’s predictive capabilities considers different scenarios,providing a comprehensive demonstra

关键词： Train delay prediction Intelligent dispatching command Deep learning Convolutional neural network Long short-term memory Attention mechanism

On Identical Problems of Natural Convection in Enclosures and Applications of the Identity Character

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Journal of Thermal Science 1993年第2期2卷 116-125页

作者： Yang, M. tao, W.q. Wang, q.W. Lui, S.S. Xi'an Jiaotong Univ Xi'an China

In this paper, a concept of 'identical problems' of natural convection in enclosures is presented. A pair of problems of natural convection in enclosures is said to be identical if they look different in appearance but with appropriate selection of coordinates and appropriate definition of dimensionless variables for each problem, they will have identical geometric configurations and identical dimensionless governing equations and related boundary conditions. The identical characteristics of a pair of problems of natural convection in enclosures with an internal isolated island are demonstrated via dimensionless mathematical formulation and flow visualization results. Numerical computations are performed and the predicted streamlines agree with the flow visualization results. A number of other possible pairs of identical problems are also presented. Applications of the identical character are provided and assumptions under which the identical problems may exist are discussed.

关键词： natural convection enclosure flow identical problems

基于UPLC-q-orbitrap-MS技术探究西黄丸抗乳腺增生的作用机制

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药学学报 2024年第1期59卷 214-224页

作者：王婧瑞陶蕊马学莉王俊亮韩涛甘肃中医药大学药学院甘肃兰州730000 甘肃省中药药理与毒理学重点实验室甘肃兰州730000

基于UPLC-q-orbitrap-MS与生物网络分析工具系统分析西黄丸改善乳腺组织增生的作用机制。肌注苯甲酸雌二醇和黄体酮建立乳腺增生大鼠模型,采用LC-MS的组织代谢组学探索西黄丸改善乳腺组织增生的关键代谢物和代谢途径。整合生物网络分析... 详细信息

基于UPLC-q-orbitrap-MS与生物网络分析工具系统分析西黄丸改善乳腺组织增生的作用机制。肌注苯甲酸雌二醇和黄体酮建立乳腺增生大鼠模型,采用LC-MS的组织代谢组学探索西黄丸改善乳腺组织增生的关键代谢物和代谢途径。整合生物网络分析工具对西黄丸调节的关键代谢物进行网络分析,聚焦关键代谢通路,挖掘西黄丸改善乳腺组织增生的潜在靶点。与空白组比,模型组大鼠组织中有49种差异代谢物含量有显著差异(P<0.05),西黄丸能显著回调L-丙氨酸、苏氨酸、吲哚-3-羧酸醛、赖氨酸、精氨酸、丙氨酰亮氨酸、甘氨酰络氨酸、γ-谷氨酰亮氨酸、维生素B3、丝氨酰亮氨酸、苏氨酰亮氨酸、异亮氨酰谷氨酸、γ-谷氨酰酪氨酸、癸酰-L-肉碱、2,6,8-三羟基嘌呤、亮氨酰亮氨酸、S-腺苷-蛋氨酸等17种代谢物。对西黄丸调控的关键代谢物进一步网络分析及文献研究表明,晚期糖基化终末产物(AGE)-晚期糖基化终产物受体(RAGE)信号通路可能是西黄丸改善乳腺组织增生的重要通路之一,AGE-RAGE信号通路上的STAT3、MAPK1、EGFR、CASP3、CASP8、PRKCA、JUN等7个蛋白可能为西黄丸改善乳腺组织增生的潜在作用靶点。本文涉及的动物实验操作均遵循甘肃中医药大学动物伦理委员会的规定并通过动物实验伦理审查(批号:2022-705)。

关键词：乳腺增生 UPLC-q-orbitrap-MS AGE-RAGE信号通路西黄丸

Using Inverter-Based Renewable Generators to Improve the Grid Power quality-A Review

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Chinese Journal of Electrical Engineering 2018年第4期4卷 16-25页

作者： tao Wang Heng Nian Z.q.Zhu Department of Electronic and Electrical Engineering University of SheffieldSheffieldS13JDU.K. College of Electrical Engineering Zhejiang UniversityHangzhou 310027China

With the increasing penetration of renewable power in the grid,renewable generators are expected to play more important roles rather than merely working as active power *** the high controllability and considerable idle capacity of the inverter-based renewable generators,various auxiliary functions for them have been studied to benefit the *** these auxiliary functions,the grid power quality improvement is very *** paper presents a review of the emerging control strategies for inverter-based renewable generators to improve grid power *** related papers are classified with different power quality issues and technical routes,and a comprehensive comparison is *** future trends of this research area are also discussed.

关键词： Renewable generator auxiliary function power quality improvement grid voltage harmonic and unbalance

RISE-D3qN驱动的多无人机数据采集路径规划

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计算机工程与应用 2024年第20期60卷 328-338页

作者：黄泽丰李涛南京信息工程大学自动化院南京210044

无人机辅助物联网数据采集是高效且具有前景的方法。针对路径规划的优化资源分配问题,细化了电量消耗模型,并考虑了三个指标:数据量、时间效率和能源效率。该问题被建模为分布式局部可观测马尔可夫决策过程,并提出一种深度强化学习算法... 详细信息

无人机辅助物联网数据采集是高效且具有前景的方法。针对路径规划的优化资源分配问题,细化了电量消耗模型,并考虑了三个指标:数据量、时间效率和能源效率。该问题被建模为分布式局部可观测马尔可夫决策过程,并提出一种深度强化学习算法。具体地,将归一化的模型分为四个具体地的无人机电量消耗模型;基于离散动作离线深度强化学习架构,提出一种新的RISE(Rényi state entropy)-D3qN(dueling double deep q network)算法,结合了内在奖励、优先经验回放和soft-max探索策略,可在无人机电池容量、物联网设备位置、物联网设备数据量、物联网设备数量发生变化的同时规划无人机群的路径。仿真结果表明,相比于传统的D3qN算法以及传统的DqN算法,在确保无人机安全飞行的同时,提高了无人机从物联网设备采集的数据量,并在以此为主要目标的情况下减少了无人机的飞行时间以及能量消耗。

关键词：无人机路径规划深度强化学习多智能体物联网数据采集

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利用A2C-ac的城轨车车通信资源分配算法

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电子与信息学报 2024年第4期46卷 1306-1313页

作者：王瑞峰张明黄子恒何涛兰州交通大学自动化与电气工程学院兰州730070 兰州交通大学自动控制研究所兰州730070

在城市轨道交通列车控制系统中,车车(T2T)通信作为新一代列车通信模式,利用列车间直接通信来降低通信时延,提高列车运行效率。在T2T通信与车地(T2G)通信并存场景下,针对复用T2G链路产生的干扰问题,在保证用户通信质量的前提下,该文提出... 详细信息

在城市轨道交通列车控制系统中,车车(T2T)通信作为新一代列车通信模式,利用列车间直接通信来降低通信时延,提高列车运行效率。在T2T通信与车地(T2G)通信并存场景下,针对复用T2G链路产生的干扰问题,在保证用户通信质量的前提下,该文提出一种基于多智能体深度强化学习(MADRL)的改进优势演员-评论家(A2C-ac)资源分配算法。首先以系统吞吐量为优化目标,以T2T通信发送端为智能体,策略网络采用分层输出结构指导智能体选择需复用的频谱资源和功率水平,然后智能体做出相应动作并与T2T通信环境交互,得到该时隙下T2G用户和T2T用户吞吐量,价值网络对两者分别评价,利用权重因子β为每个智能体定制化加权时序差分(TD)误差,以此来灵活优化神经网络参数。最后,智能体根据训练好的模型联合选出最佳的频谱资源和功率水平。仿真结果表明,该算法相较于A2C算法和深度q网络(DqN)算法,在收敛速度、T2T成功接入率、吞吐量等方面均有明显提升。

关键词：城市轨道交通资源分配 T2T通信多智能体深度强化学习 A2C-ac算法

基于多步信息辅助的q-learning路径规划算法

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系统仿真学报 2024年第9期36卷 2137-2148页

作者：王越龙王松艳晁涛哈尔滨工业大学控制与仿真中心黑龙江哈尔滨150001

为提升静态环境下移动机器人路径规划能力,解决传统q-learning算法在路径规划中收敛速度慢的问题,提出一种基于多步信息辅助机制的q-learning改进算法。利用ε-greedy策略中贪婪动作的多步信息与历史最优路径长度更新资格迹,使有效的资... 详细信息

为提升静态环境下移动机器人路径规划能力,解决传统q-learning算法在路径规划中收敛速度慢的问题,提出一种基于多步信息辅助机制的q-learning改进算法。利用ε-greedy策略中贪婪动作的多步信息与历史最优路径长度更新资格迹,使有效的资格迹在算法迭代中持续发挥作用,用保存的多步信息解决可能落入的循环陷阱;使用局部多花朵的花授粉算法初始化q值表,提升机器人前期搜索效率;基于机器人不同探索阶段的目的,结合迭代路径长度的标准差与机器人成功到达目标点的次数设计动作选择策略,以增强算法对环境信息探索与利用的平衡能力。实验结果表明:该算法具有较快的收敛速度,验证了算法的可行性与有效性。

关键词：路径规划 q-learning 收敛速度动作选择策略栅格地图

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