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Machine Learning-Based Temperature and Wind Forecasts in the Zhangjiakou Competition Zone during the Beijing 2022 Winter Olympic Games

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Journal of Meteorological Research 2024年第4期38卷 664-679页

作者： zhuo sun Jiangbo LI Ruiqiang GUO Yiran ZHANG Gang ZHU Xiaoliang YANG China Meteorological Administration Xiong'an Atmospheric Boundary Layer Key Laboratory Xiong'an New Area 071800 Hebei Key Laboratory of Meteorology and Ecological Environment Shijiazhuang 050021 Hebei Meteorological Observatory Shijiazhuang 050021 College of Computer and Cyber Security Hebei Normal UniversityShijiazhuang 050024

Weather forecasting for the Zhangjiakou competition zone of the Beijing 2022 Winter Olympic Games is a challenging task due to its complex *** weather prediction models generally perform poorly for cold air pools and winds over complex terrains,due to their low spatiotemporal resolution and limitations in the description of dynamics,thermodynamics,and microphysics in mountainous *** study proposes an ensemble-learning model,named ENSL,for surface temperature and wind forecasts at the venues of the Zhangjiakou competition zone,by integrating five individual models—linear regression,random forest,gradient boosting decision tree,support vector machine,and artificial neural network(ANN),with a ridge regression as meta *** ENSL employs predictors from the high-resolution ECMWF model forecast(ECMWF-HRES) data and topography data,and targets from automatic weather station *** categories of predictors(synoptic-pattern related fields,surface element fields,terrain,and temporal features) are fed into *** results demonstrate that ENSL achieves better performance and generalization than individual *** root-mean-square error(RMSE) for the temperature and wind speed predictions is reduced by 48.2% and 28.5%,respectively,relative to *** the gust speed,the performance of ENSL is consistent with ANN(best individual model) in the whole dataset,whereas ENSL outperforms on extreme gust samples(42.7% compared with 38.7% obtained by ECMWF-HRES in terms of RMSE reduction).Sensitivity analysis of predictors in the four categories shows that ENSL fits their feature importance rankings and physical explanations effectively.

关键词： machine learning ensemble learning post-processing cold air pools mountain Beijing 2022 Winter Olympic Games

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True-temperature inversion algorithm for a multi-wavelength pyrometer based on fractional-order particle-swarm optimization

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Nanotechnology and Precision Engineering 2024年第1期7卷 55-62页

作者： Mei Liang zhuo sun Jiasong Liu Yongsheng Wang Lei Liang Long Zhang School of Electromechanical and Automotive Engineering Yantai UniversityYantai 264005China Liangshan Mining Co. Ltd.Huili 615141China

Herein,a method of true-temperature inversion for a multi-wavelength pyrometer based on fractional-order particle-swarm optimization is proposed for difﬁcult inversion problems with unknown ***-order calculus has the inherent advantage of easily jumping out of local extreme values;here,it is introduced into the particle-swarm algorithm to invert the true *** improved adaptive-adjustment mechanism is applied to automatically adjust the current velocity order of the particles and update their velocity and position values,increasing the accuracy of the true temperature *** results of simulations using the proposed algorithm were compared with three algorithms using typical emissivity models:the internal penalty function algorithm,the optimization function(fmincon)algorithm,and the conventional particle-swarm optimization *** results show that the proposed algorithm has good accuracy for true-temperature *** experimental results from a rocket-motor plume were used to demonstrate that the true-temperature inversion results of this algorithm are in good agreement with the theoretical true-temperature values.

关键词： Fractional-order particle swarm True-temperature inversion algorithm Multi-wavelength pyrometer

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CHD4-induced up-regulation of ERα activity contributes to breast cancer progression

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Genes & Diseases 2024年第3期11卷 132-135页

作者： Aman Sattout Xiaomin Yu zhuo sun Yanan Li Yulin Li Shujing Li Wei Huo Huijian Wu School of Bioengineering&Key Laboratory of Protein Modification and Disease Liaoning ProvinceDalian University of TechnologyDalianLiaoning 116024China Department of Oncology Central Hospital Affiliated with Dalian University of TechnologyDalianLiaoning 116089China

The estrogen signaling system is a crucial regulator of ***,abnormal activation of estrogen signaling may play a role in breast cancer initiation and *** to this pathway is the interaction between estrogen receptor alpha(ERa)and various co-transcription activators.1 Although numerous studies have investigated ER coregulators,the protein-protein interaction networks of ERa are not fully *** research has shown that high chromodomain helicase DNA-binding 4(CHD4)expression is linked to poor prognosis in various cancers.2,?In this study,we demonstrated that both CHD4 and ERαcontribute to breast cancer progression while providing evidence of the regulatory processes and functional interplay between these two proteins.

关键词： breast cancer ERα

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Antihypertensive effects of whey protein hydrolysate involve reshaping the gut microbiome in spontaneously hypertension rats

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Food Science and Human Wellness 2024年第4期13卷 1974-1986页

作者： Peipei Dou Xiaoyi Li Xiaoxiao Zou Kai Wang Lei Yao zhuo sun Hui Hong Yongkang Luo Yuqing Tan Key Laboratory of Functional Dairy College of Food Science and Nutritional EngineeringChina Agricultural UniversityBeijing 100083China Hebei Dongkang Dairy Co. Ltd.Shijiazhuang 052160China

Novel angiotensin-converting enzyme(ACE)inhibitory peptides were identified from whey protein hydrolysates(WPH)in vitro in our previous study and the antihypertensive abilities of WPH in vivo were further investigated in the current *** indicated that WPH significantly inhibited the development of high blood pressure and tissue injuries caused by *** inhibited ACE activity(20.81%,P<0.01),and reduced renin concentration(P<0.05),thereby reducing systolic blood pressure(SBP)(12.63%,P<0.05)in spontaneously hypertensive *** increased Akkermansia,Bacteroides,and Lactobacillus abundance promoted high short chain fatty acid content in feces after WPH *** changes jointly contributed to low blood *** heart weight and cardiomyocyte injuries(hypertrophy and degeneration)were alleviated by *** proteomic results revealed that 19 protein expressions in the heart mainly associated with the wingless/integrated(Wnt)signaling pathway and Apelin signaling pathway were altered after WPH ***,WPH alleviated serum oxidative stress,indicated by the decreased malondialdehyde content(P<0.01),enhanced total antioxidant capacity(P<0.01)and superoxide dismutase activity(P<0.01).The current study suggests that WPH exhibit promising antihypertensive abilities in vivo and could be a potential alternative for antihypertensive dietary supplements.

关键词： Whey protein hydrolysate Antihypertension Short chain fatty acids Gut microbiome

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基于改进T-B法的宽带高斯过程疲劳损伤分析

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船舶力学 2024年第2期28卷 261-272页

作者：袁奎霖孙卓成大连理工大学工业装备结构分析国家重点实验室船舶工程学院辽宁大连116024

针对宽带高斯随机应力过程造成的疲劳损伤问题,本文提出一种基于改进Tovo-Benasciutti(T-B)法的疲劳损伤频域分析方法。通过不同参数形式的功率谱进行时域的疲劳损伤分析,针对T-B法中的关键参数bTB提出一个新的非线性函数模型。与原T-B... 详细信息

针对宽带高斯随机应力过程造成的疲劳损伤问题,本文提出一种基于改进Tovo-Benasciutti(T-B)法的疲劳损伤频域分析方法。通过不同参数形式的功率谱进行时域的疲劳损伤分析,针对T-B法中的关键参数bTB提出一个新的非线性函数模型。与原T-B法相比,新提出的函数模型bMTB可以考虑S-N曲线斜率参数m的影响,并以此为基础提出基于改进T-B法的疲劳损伤分析方法。以时域的雨流计数法结果作为基准,分别采用参数化功率谱和真实响应谱进行数值试验,并与现有的多种宽带高斯疲劳损伤分析方法进行对比,验证本文所提出的改进T-B法的准确性和适用性。

关键词：宽带高斯随机过程疲劳损伤改进T-B谱方法数值模拟

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Artificial intelligence system for outcome evaluations of human in vitro fertilization-derived embryos

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中华医学杂志(英文版) 2024年第16期137卷 2024 Jul 12页

作者： sun Ling Li Jiahui Zeng Simiao Luo Qiangxiang Miao Hanpei Liang Yunhao Cheng Linling sun zhuo Tai Wa Hou Han Yibing Yin Yun Wu Keliang Zhang Kang Department of Reproductive Medicine Guangzhou Women and Children’s Medical Center Guangzhou Medical University Guangzhou Guangdong China Guangzhou National Laboratory Guangzhou Guangdong China Department of Reproductive Medicine Jiangmen Central Hospital Jiangmen Guangdong China Department of Ophthalmology Dongguan People’s Hospital The First School of Clinical Medicine Southern Medical University Dongguan Guangdong China Institute for Artificial Intelligence in Medicine Faculty of Medicine Macau University of Science and Technology Macau Special Administrative Region China Wenzhou Eye Hospital Institute for Advanced Studies on Eye Health and Diseases Wenzhou Medical University Wenzhou Zhejiang China Kiang Wu Hospital Macau Special Administrative Region China Faculty of Business City University of Macau Macau Special Administrative Region China State Key Laboratory of Reproductive Medicine and Offspring Health Center for Reproductive Medicine Institute of Women Children and Reproductive Health and Key laboratory of Reproductive Endocrinology of Ministry of Education Shandong University Jinan Shandong China

Background: In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly ***: We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth ***: These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1%vs. 30.7% on day 3, 55.0%vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidenc

关键词： Artificial intelligence Fertilizationin vitro Embryo implantation Blastocyst Aneuploidy Neural networks, computer Live birth

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考虑3种时延的车辆队列控制系统稳定性

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交通运输工程学报 2024年第2期24卷 254-266页

作者：朱旭孙卓张泽华闫茂德长安大学电子与控制工程学院陕西西安710064

针对含输入时延、跟随车之间的通信时延、领航车广播时延的车辆队列控制系统,研究了其内部稳定性和队列稳定性;在内部稳定性方面,提出了一种融合克罗内克和与特征根聚类(CTCR)法的方法,获得了系统内部稳定的充分必要条件;在队列稳定性方... 详细信息

针对含输入时延、跟随车之间的通信时延、领航车广播时延的车辆队列控制系统,研究了其内部稳定性和队列稳定性;在内部稳定性方面,提出了一种融合克罗内克和与特征根聚类(CTCR)法的方法,获得了系统内部稳定的充分必要条件;在队列稳定性方面,为了保证干扰沿车辆队列向后传播不扩散,给出了队列稳定的充分条件,揭示了队列稳定性独立于跟随车之间的通信时延;在此基础上,给出了可保证队列稳定的时延上界与车辆控制器增益设计范围。仿真结果表明:当满足所提稳定性条件时,车辆队列控制系统可同时保持内部稳定和队列稳定;所提内部稳定性方法求解的时延边界是完整、精确的,理论推导结果与仿真试验结果的误差小于0.1 s,且仿真时间比Bézout结式消元快2个数量级,比Sylvester结式消元快3个数量级,表明该方法大幅度降低了传统特征根聚类法的运算量;车间状态误差可在15 s内快速减小并趋近于0;在所有车辆恒速行驶时,车间保持50 m期望安全距离;在领航车以0.4 m·s^(-2)加速和0.6 m·s^(-2)减速过程中,跟随车的速度和加速度随领航车变化,车辆位置误差小于0.5 m,且沿车辆队列向后传播不扩散。

关键词：智能交通车辆队列克罗内克和特征根聚类输入时延通信时延内部稳定队列稳定

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信息链视角下用户参与在线健康信息质量治理的三方演化博弈分析

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现代情报 2024年第6期44卷 45-58页

作者：毕崇武张燕婷金燕孙倬郑州大学信息管理学院河南郑州450001 郑州市数据科学研究中心河南郑州450001 郑州大学政治与公共管理学院河南郑州450001

[目的/意义]从信息链视角探究在线健康信息质量治理的用户作为生产者、传播者以及消费者等不同角色时,影响其信息自治行为及自治效果的主要因素及其演化规律,并据此提出相应的治理路径。[方法/过程]首先,界定用户在信息链上所处的不同... 详细信息

[目的/意义]从信息链视角探究在线健康信息质量治理的用户作为生产者、传播者以及消费者等不同角色时,影响其信息自治行为及自治效果的主要因素及其演化规律,并据此提出相应的治理路径。[方法/过程]首先,界定用户在信息链上所处的不同健康信息角色与其对应健康信息自治行为的成本与收益;然后,构建“生产者—传播者—消费者”三方演化博弈模型,并分析其动态演化过程与均衡稳定策略;最后,通过Matlab进行数值仿真,探讨各参数变化对用户自治行为的影响,验证模型及演化结果的准确性。[结果/结论]结果表明,自治过程中,影响生产者博弈策略的主要因素是“主动提升”成本与信任收益等;推动传播者从“常规接受”转向“主动阻断”的主要因素是反馈激励与流量收益等;促使消费者从“消极规避”转向“积极规避”的主要因素是反馈成本与正向激励等。

关键词：信息链健康信息质量自治演化博弈

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考虑多仓库异构车型的公共自行车调配优化

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系统工程学报 2024年第1期39卷 34-47页

作者：李一鸣孙卓大连海事大学航运经济与管理学院辽宁大连116026 大连海事大学交通运输工程学院辽宁大连116026

针对公共自行车系统中站点库存量不均衡,设置多个仓库和使用多种类型货车调配等特点,研究多仓库异构车型的调配路线优化问题.基于用户需求刻画站点库存量的非线性惩罚函数,构建以站点库存量惩罚和货车行驶时间最小为目标的优化模型,并... 详细信息

针对公共自行车系统中站点库存量不均衡,设置多个仓库和使用多种类型货车调配等特点,研究多仓库异构车型的调配路线优化问题.基于用户需求刻画站点库存量的非线性惩罚函数,构建以站点库存量惩罚和货车行驶时间最小为目标的优化模型,并设计聚类路径算法进行求解.该算法通过k-means聚类对站点网络进行划分,然后对划分的网络进行重新建模,基于启发式规则对模型进行求解.最后,通过数值算例验证模型和算法的有效性,阐明多仓库和异构车队在企业调配管理上的灵活性以及需求满足上的高效性,为企业系统运营提供有效调度规划方法.

关键词：多仓库异构车型公共自行车路线优化聚类路径算法

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北宋富弼在青州安置救济黄河流民的救灾创新

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浙江水利科技 2024年第3期52卷 86-90页

作者：孙卓临沂市水利工程保障中心山东临沂276000

通过梳理分析北宋富弼在任青州知州期间救济安置黄河流民的现存公牍文字和相关史料,分析其成功救灾的原因,研究其对北宋传统救灾模式的改革创新,为中国古代救荒史研究和当代救灾工作提供参考。

关键词：北宋富弼青州救济黄河救灾

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