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A unified intelligent control strategy synthesizing multi-constrained guidance and avoidance penetration

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Science China(Information Sciences) 2024年第7期67卷 329-330页

作者： sibo zhao Jianwen ZHU Weimin BAO Xiaoping LI School of Aerospace Science and Technology Xidian University College of Missile Engineering Rocket Force University of Engineering China Aerospace Science and Technology Corporation

Satisfying various terminal constraints and achieving evasive flight in no-flying-zones (NFZs) are two important flight missions undertaken by high velocity vehicles. We studied an intelligent maneuvering guidance strategy using deep reinforcement learning (DRL) methods to achieve the coordination and unification of evasive flight and multi-constrained guidance with minimal energy loss.

关键词： Energy dissipation

Symmetry-adapted graph neural networks for constructing molecular dynamics force fields

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Science China(Physics,Mechanics & Astronomy) 2021年第11期64卷 118-126页

作者： Zun Wang Chong Wang sibo zhao ShiQiao Du Yong Xu Bing-Lin Gu WenHui Duan State Key Laboratory of Low Dimensional Quantum Physics and Department of Physics Tsinghua UniversityBeijing 100084China Department of Physics Carnegie Mellon UniversityPittsburgh 15213USA Institute for Advanced Study Tsinghua UniversityBeijing 100084China Frontier Science Center for Quantum Information Beijing 100084China RIKEN Center for Emergent Matter Science(CEMS) WakoSaitama 351-0198Japan

Molecular dynamics is a powerful simulation tool to explore material *** realistic material systems are too large to be simulated using first-principles molecular *** molecular dynamics has a lower computational cost but requires accurate force fields to achieve chemical *** this work,we develop a symmetry-adapted graph neural network framework called the molecular dynamics graph neural network(MDGNN)to construct force fields automatically for molecular dynamics simulations for both molecules and *** architecture consistently preserves translation,rotation,and permutation invariance in the *** also propose a new feature engineering method that includes high-order terms of interatomic distances and demonstrate that the MDGNN accurately reproduces the results of both classical and first-principles molecular *** addition,we demonstrate that force fields constructed by the proposed model have good *** MDGNN is thus an efficient and promising option for performing molecular dynamics simulations of large-scale systems with high accuracy.

关键词： graph neural networks molecular dynamics force fields

Geochronology and Petrogenesis of Late Carboniferous to Early Permian Basalts in the Central Lhasa Subterrane, Southern Tibet: Implications for the Evolution of the Sumdo Paleo-Tethys Ocean

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Acta Geologica Sinica(English Edition) 2024年第4期98卷 955-968页

作者： MA Wang LIU Yingchao YANG Zhusen Jan-Marten HUIZENGA LI Zhenqing YUE Longlong zhao sibo School of Earth Sciences and Resources China University of GeosciencesBeijing 100083China Institute of Geology Sinoprobe LaboratoryChinese Academy of Geological SciencesBeijing 100037China MLR Key Laboratory of Metallogeny and Mineral Assessment Institute of Mineral ResourcesChinese Academy of Geological SciencesBeijing 100037China Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life SciencesNO-1432ÅsNorway Economic Geology Research Centre(EGRU) College of Science and EngineeringJames Cook UniversityTownsvilleQueensland 4811Australia Department of Geology University of JohannesburgAuckland Park 2006South Africa

Basalts from the Late Carboniferous to Early Permian are extensively developed in the central Lhasa subterrane, southern Tibet. Studying the petrogenesis of these rocks may have implications for the late Paleozoic arc magmatism along the central Lhasa subterrane uncovering more of the evolution of the Sumdo Paleo-Tethys Ocean and its dynamic mechanism. Basalt samples from the Luobadui Formation in the Leqingla area, NW of Linzhou City in the central Lhasa subterrane, southern Tibet exhibit arc-like geochemical signatures in a subduction-zone tectonic setting characterized by high Al_(2)O_(3) and low TiO_(2) contents, fractionated REE patterns with low Nb/La ratios and high LREE concentrations, and negative HFSE anomalies. Based on their higher Th/Ce, Nb/Zr, and lower Ba/Th, Pb/Nd ratios, slightly negative to positive ε_(Nd)(t) values, and the relatively high Sr-Pb isotopic compositions, these samples were probably derived from partial melting of a depleted mantle source of garnet + spinel lherzolite, metasomatized by subducted sediments around 297 Ma. Modeling of the trace elements indicates that these basalts experienced fractional crystallization of olivine, clinopyroxene and minor plagioclase during magma ascent and eruption. It is proposed that these Late Carboniferous–Early Permian basalts are associated with the northward subduction of the Sumdo Paleo-Tethys Ocean seafloor along the southern margin of the central Lhasa subterrane.

关键词： geochemistry northward subduction Sumdo Paleo-Tethys Ocean Lhasa terrane Tibet

Heterogeneous relational message passing networks for molecular dynamics simulations

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npj Computational Materials 2022年第1期8卷 509-517页

作者： Zun Wang Chong Wang sibo zhao Yong Xu Shaogang Hao Chang Yu Hsieh Bing-Lin Gu Wenhui Duan State Key Laboratory of Low Dimensional Quantum Physics and Department of Physics Tsinghua UniversityBeijingChina Tencent Quantum Lab TencentShenzhenGuangdong518057China Department of Physics Carnegie Mellon UniversityPittsburghPAUSA Frontier Science Center for Quantum Information Beijing100084China RIKEN Center for Emergent Matter Science(CEMS) WakoSaitama351-0198Japan Institute for Advanced Study Tsinghua UniversityBeijing100084China

With many frameworks based on message passing neural networks proposed to predict molecular and bulk properties,machine learning methods have tremendously shifted the paradigms of computational sciences underpinning physics,material science,chemistry,and *** existing machine learning models have yielded superior performances in many occasions,most of them model and process molecular systems in terms of homogeneous graph,which severely limits the expressive power for representing diverse *** practice,graph data with multiple node and edge types is ubiquitous and more appropriate for molecular ***,we propose the heterogeneous relational message passing network(HermNet),an end-to-end heterogeneous graph neural networks,to efficiently express multiple interactions in a single model with ab initio *** performs impressively against many top-performing models on both molecular and extended ***,HermNet outperforms other tested models in nearly 75%,83%and 69%of tasks on revised Molecular Dynamics 17(rMD17),Quantum Machines 9(QM9)and extended systems datasets,*** addition,molecular dynamics simulations and material property calculations are performed with HermNet to demonstrate its ***,we elucidate how the design of HermNet is compatible with quantum mechanics from the perspective of the density functional ***,HermNet is a universal framework,whose sub-networks could be replaced by other advanced models.

关键词： theory passing dynamics

Pu-erh tea partly improved liver cholesterol metabolism disorders in colitis mice via the gut-liver axis

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Food Science and Human Wellness 2024年

作者： Shanshan Hu Zhiyuan Lin sibo zhao Bowen Zhang Liyong Luo Liang Zeng College of Food Science， Southwest University Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing， Southwest University

Pu-erh tea has been shown to reduce gut inflammation in DSS-induced mice. Also， we found abnormal liver cholesterol metabolism in dextran sulfate sodium (DSS)-induced mice. However， it’s not clear how Pu-erh tea improves DSS-induced impaired liver cholesterol metabolism. Here， we established the DSS-induced model and clarified that DSS exacerbated gut inflammation accompanied by disorders of liver cholesterol metabolism. Pu-erh tea reshaped gut microbes， limited gut oxidative stress and inflammation (NOX2/ROS/MyD88/NF-κB， 24.97%-52.89%)， reduced gut bile acid reabsorption (up-regulation of FXR/FGF15， 24.53%-55.91%)， and promoted liver bile acid synthesis (up-regulation of PPARα/CYP7A1， 34.65%-79.14%)， thereby partly restoring liver cholesterol metabolism (regulated FXR/SHP/SREBPs， 53.19%-95.40%). Altered bile acid metabolic profiles (increased chenodeoxycholic acid， ursodeoxycholic acid， lithocholic acid， etc.) may also improve liver cholesterol metabolism by altering gut and liver inflammation. Thus， gut microbial reshaping and altered bile acid metabolism may be key targets of Pu-erh tea for improving DSS-induced liver cholesterol metabolism disorders via the gut-gut microbe-bile acid-liver axis.

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大学生自杀意念变动趋势和相关因素

中国心理卫生杂志 2024年第9期38卷 808-813页

作者：赵思博张杰中央财经大学社会与心理学院北京100081 美国纽约州立大学布法罗州立大学美国纽约14222

目的:探讨大学生9年间自杀意念变动趋势特点和相关因素。方法:选取北京某高校2007-2015年大学生心理健康调查数据(n=9716),采用美国国家共病复测调查(NCS-R)中的自杀意念和行为条目、流调中心用抑郁量表(CESD)和领悟社会支持量表(MSPSS... 详细信息

目的:探讨大学生9年间自杀意念变动趋势特点和相关因素。方法:选取北京某高校2007-2015年大学生心理健康调查数据(n=9716),采用美国国家共病复测调查(NCS-R)中的自杀意念和行为条目、流调中心用抑郁量表(CESD)和领悟社会支持量表(MSPSS)进行评估,采用线性分解回归分析考察影响自杀意念的因素。结果:自杀意念得分2007年平均0.24分、2015年0.13分。自杀意念得分与CESD得分正相关(r=0.30,P<0.001),与MSPSS得分负相关(r=-011,P<0.001)。线性回归分析结果表明,女生自杀意念的下降速度高于男生(β=-0.030、-0.017,均P<0.05),来自城镇的大学生比来自农村的大学生下降速度更快(β=-0.026、-0.016,均P<0.05),出生越晚者自杀意念得分越高(β=0.012,P<0.05)。结论:本研究显示,自杀意念在调查期间呈下降趋势,但年轻世代自杀意念更高,抑郁、社会支持与自杀意念有相关性。

关键词：大学生自杀意念抑郁社会支持

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微针技术应用研究现状

过程工程学报 2023年第2期23卷 163-172页

作者：赵思博鲍怡如谢敏武汉大学化学与分子科学学院国家级化学实验教学示范中心湖北武汉430072

微针是通过微制造加工获得的一种针状体,单个针体尺寸为微米级,多个针体组成微针阵列,能够穿透皮肤角质层直达真皮层,在研发初期主要用于药物递送。与口服给药相比,微针能避开消化系统对药物的代谢作用;与注射针头相比,微针能够有效减... 详细信息

微针是通过微制造加工获得的一种针状体,单个针体尺寸为微米级,多个针体组成微针阵列,能够穿透皮肤角质层直达真皮层,在研发初期主要用于药物递送。与口服给药相比,微针能避开消化系统对药物的代谢作用;与注射针头相比,微针能够有效减小患者疼痛感,提高患者依从性。此外,微针技术因为其便捷的透皮作用方式,在疫苗接种、组织液提取、生物标志物检测、医疗美容等领域的应用也被广泛开发。微针的制作材料有硅、不锈钢及生物降解材料,如透明质酸、聚乳酸等;从给药方式上可分为固体、包被、溶解、空心以及水凝胶等多种微针类型。本综述结合近年来微针技术相关进展,简要概述微针的制造材料及作用形式,重点介绍微针在药物递送、疫苗接种及组织液提取和生物标志物检测等领域的应用,探讨微针的机械强度、生物安全性、无菌化处理及稳定性等对其在市场上推广应用的影响,并对其未来发展进行了展望。

关键词：微针透皮技术工作原理医学应用未来发展

鼠李糖乳杆菌LR-ZB1107-01的培养基优化及益生特性评价

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华南理工大学学报（自然科学版） 2022年第8期50卷 21-29页

作者：许喜林赵思博郑柳青刘冬梅华南理工大学食品科学与工程学院广东广州510640

对课题组前期分离得到的对模拟胃肠道耐受良好的鼠李糖乳杆菌LR-ZB1107-01(Lactobacillus rhamnosus ZB1107-01)的培养基进行优化,初步研究了其益生特性,以提高单位体积发酵液中的菌体数量,为此菌株的开发和应用提供基础。首先,测定LRZB... 详细信息

对课题组前期分离得到的对模拟胃肠道耐受良好的鼠李糖乳杆菌LR-ZB1107-01(Lactobacillus rhamnosus ZB1107-01)的培养基进行优化,初步研究了其益生特性,以提高单位体积发酵液中的菌体数量,为此菌株的开发和应用提供基础。首先,测定LRZB1107-01菌株在MRS培养基中的生长曲线,明确其在液体培养基中的生长规律;其次,以LR-ZB1107-01菌株发酵液中的活菌数为检测指标,对不同种类的氮源、碳源及生长因子进行单因素考察,以确定最适培养基组分,并进行响应面试验来优化培养基配比,以筛选最优发酵培养基;最后,对LR-ZB1107-01的硝基还原酶活性、氨基脱羧酶活性等体外安全性进行评价。结果表明,在2%葡萄糖含量的MRS培养基基础上,改变3种显著影响活菌数的营养成分及含量,即添加0.02%D-异抗坏血酸、0.12%硫酸镁、3%蛋白胨,再结合优化后的培养条件,活菌数可达8.56×10^(8)CFU/mL,较在MRS培养基中提高了约10.7倍。体外安全性评价结果表明,LR-ZB1107-01对硝基还原酶和氨基酸脱羧酶均呈阴性,说明该菌株具有一定的安全性。文中研究成果对LR-ZB1107-01菌株微生态制剂的工业化生产和后续产品开发具有一定的指导作用。

关键词：鼠李糖乳杆菌培养基优化响应面设计益生特性

社会互动影响老年人金融市场参与吗?——基于CHFS2019年数据的实证分析

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金融理论与实践 2023年第5期 53-63页

作者：赵思博赵大伟严文群中央财经大学社会与心理学院北京100081 中国人民银行金融研究所北京100800

居民投资行为的老龄化影响是近年来经济学、社会学研究关注的热点话题之一。如何有效提高老龄人口的金融市场参与程度,积极释放老年群体金融消费活力具有一定的研究意义。利用中国家庭金融调查(CHFS)2019年数据,首先,运用主成分分析法... 详细信息

居民投资行为的老龄化影响是近年来经济学、社会学研究关注的热点话题之一。如何有效提高老龄人口的金融市场参与程度,积极释放老年群体金融消费活力具有一定的研究意义。利用中国家庭金融调查(CHFS)2019年数据,首先,运用主成分分析法构建出综合性社会互动指标;其次,采用Probit模型实证检验社会互动对老年群体金融市场参与的影响,发现社会互动强度越高,老年人越倾向于参与正规风险金融市场;再次,通过逐步回归和KHB中介检验法对影响机制分析发现,内生性互动能通过信息获得、情感认同以及社会规范三种渠道来部分影响老年人的正规风险金融市场参与。研究结论为老年人参与金融市场的相关研究提供了一个新的社会结构视角。据此,政府应充分关注社会互动这一非正式制度对于老年金融市场的效用,发挥内生互动机制在降低信息关注成本、提升金融素养与建立合理风险偏好上的积极作用,从而提高家庭金融健康水平,改进投资策略、控制投资风险、提高资产收益、促进金融市场繁荣。

关键词：社会互动老年金融信息获得风险态度社会规范

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