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FHL2 deficiency aggravates Candida albicans infection through decreased myelopoiesis

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Science China Life Sciences 2025年

作者： Rongmei Gao Kanchao Chen Yimin Wang Rongxia Guo Xiaoyu Zhang Peng Wu Weili Wang Qingxiang Huang Xuemei Xie Shangda Yang Yanling Lü Qian ren Fei Liu Song Chen Fengxia Ma Tao Cheng hui Cheng State Key Laboratory of Experimental Hematology National Clinical Research Center for Blood Diseases Haihe Laboratory of Cell Ecosystem Institute of Hematology & Blood Diseases Hospital Chinese Academy of Medical Sciences & Peking Union Medical College CAMS Center for Stem Cell Medicine PUMC Department of Stem Cell and Regenerative Medicine

Hematopoiesis is a finely tuned process that generates all blood cell types through self-renewal and differentiation, which is crucial for maintaining homeostasis. Acute infections can prompt a hematopoietic response known as emergency myelopoiesis. In this study, using a Candida albicans (C. albicans) infection model, we demonstrated for the first time that disruption of Fhl2 led to increased fungal burden,heightened inflammatory response and reduced survival rates. Impaired myeloid hematopoiesis and immune cell production were evident, as proved by the decreased numbers of hematopoietic stem and progenitor cells (HSPCs) and granulocytes in the bone marrow of Fhl2-deficient mice. In conclusion, FHL2 regulated emergency myelopoiesis in response to C. albicans, affecting the host’s defense against pathogens.

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Scientific and technological innovations of wastewater treatment in China

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Frontiers of Environmental Science & Engineering 2024年第6期18卷 43-48页

作者： hui Huang Rui Ma Hongqiang ren State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentNanjing UniversityNanjing 210023China

The“dual-carbon”strategy promotes the development of the wastewater treatment sector and is an important tool for leading science and technology *** on the global climate change and the new policies introduced by China,this paper described the new needs for the development of wastewater treatment science and *** offered a retrospective analysis of the historical trajectory of scientific and technological advancements in this *** bibliometrics,it delineated the research hotspots within wastewater treatment,notably highlighting materials genomics,artificial intelligence,and synthetic ***,it posited that,in the future,the field of wastewater treatment should follow the paths of technological innovations with multi-dimensional needs,such as carbon reduction,pollution reduction,health,standardisation,and *** purpose of this paper was to provide references and suggestions for scientific and technological innovations in the field of wastewater treatment,and to contribute to the common endeavor of moving toward a Pollution-Free Planet.

关键词： Wastewater treatment Dual-carbon strategy Technological innovation Carbon reduction

Comparative study of four QSAR models of aromatic compounds to aquatic organisms

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Journal of Environmental Sciences 2002年第4期14卷 552-557页

作者： YURui-lian HUGong-ren ZHAOYuan-hui CollegeofMaterialsScienceandEngineering HuaqiaoUniversityQuanzhou362011China DepartmentofEnvironmentalScience NortheastNormalUniversityChangchun130024China

Quantitative structure activity relationships(QSARs)were developed for 43 aromatic compounds toxicity to Photobacterium phosphoreum and Daphnia magna based on four methods: octanol/water partition coefficient, linear solvation energy relationship, molecular connectivity index and group contribution. Through the evaluation of four QSAR methods, LSER was proved to be the best. And it applied to the widest range of chemicals with the greatest accuracy.

关键词： aromatic compounds Photobacterium phosphoreum Daphnia magna QSAR models

Deep reinforcement learning in fluid mechanics:A promising method for both active flow control and shape optimization

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Journal of Hydrodynamics 2020年第2期32卷 234-246页

作者： Jean Rabault Feng ren Wei Zhang hui Tang hui Xu Department of Mathematics University of OsloOsloNorway Research Center of Fluid Structure Interactions Department of Mechanical Engineering Hong Kong Polytechnical UniversityHong KongChina Science and Technology on Water Jet Propulsion Laboratory Marine Design and Research Institute of ChinaShanghai200011China School of Aeronautic and Astronautic Shanghai Jiao Tong UniversityShanghai200011China Department of Aeronautics Imperial College LondonLondonUK

In recent years,artificial neural networks(ANNs)and deep learning have become increasingly popular across a wide range of scientific and technical fields,including fluid *** it will take time to fully grasp the potentialities as well as the limitations of these methods,evidence is starting to accumulate that point to their potential in helping solve problems for which no theoretically optimal solution method is *** is particularly true in fluid mechanics,where problems involving optimal control and optimal design are ***,such problems are famously difficult to solve effectively with traditional methods due to the combination of non linearity,non convexity,and high dimensionality they *** contrast,deep reinforcement learning(DRL),a method of optimization based on teaching empirical strategies to an ANN through trial and error,is well adapted to solving such *** this short review,we offer an insight into the current state of the art of the use of DRL within fluid mechanics,focusing on control and optimal design problems.

关键词： Machine learning deep reinforcement learning(DRL) flow control

Active flow control using machine learning:A brief review

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Journal of Hydrodynamics 2020年第2期32卷 247-253页

作者： Feng ren Hai-bao Hu hui Tang Research Center for Fluid-Structure Interactions Department of Mechanical EngineeringThe Hong Kong Polytechnic UniversityHong KongChina School of Marine Science and Technology Northwestern Polytechnical UniversityXi’an710072China

Nowadays the rapidly developing artificial intelligence has become a key solution for problems of diverse disciplines,especially those involving big *** in these areas also attract researchers from the community of fluid mechanics,especially in the field of active flow control(AFC).This article surveys recent successful applications of machine learning in AFC,highlights general ideas,and aims at offering a basic outline for those who are interested in this specific *** this short review,we focus on two methodologies,i.e.,genetic programming(GP)and deep reinforcement learning(DRL),both having been proven effective,efficient,and robust in certain AFC problems,and outline some future prospects that might shed some light for relevant studies.

关键词： Active flow control(AFC) machine learning genetic programming(GP) deep reinforcement learning(DRL)

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基于半导体桥芯片的钝感高瞬发底火设计

火工品 2025年第1期 7-12页

作者：牛惠媛任炜褚恩义李慧常英珂金豪杰陕西应用物理化学研究所瞬态化学效应与控制全国重点实验室陕西西安710061 杭州电子科技大学微电子研究院浙江杭州310018

针对超高速射武器弹药对高频高安全及高一致性点火的发展需求,基于半导体桥芯片点火技术,设计了一种新型钝感高瞬发底火。通过对比研究4种半导体桥芯片及其2种封装结构,选用斯蒂芬酸铅和亚铁氢化铅/高氯酸钾作为两级复合装药,优化形成... 详细信息

针对超高速射武器弹药对高频高安全及高一致性点火的发展需求,基于半导体桥芯片点火技术,设计了一种新型钝感高瞬发底火。通过对比研究4种半导体桥芯片及其2种封装结构,选用斯蒂芬酸铅和亚铁氢化铅/高氯酸钾作为两级复合装药,优化形成了模块化结构的半导体桥底火样机。该底火满足了与弹药接口的匹配要求,并达到1 A 1 W 5 min不发火的安全性要求。发火性能试验表明,所研制的半导体桥底火作用时间不大于200μs,散布不大于30μs,与传统桥丝电底火相比瞬发度和作用时间一致性显著提高,综合性能更好。

关键词：底火半导体桥模块化设计高瞬发高安全

Identity-based proxy re-encryption scheme from RLWE assumption with ciphertext evolution

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The Journal of China Universities of Posts and Telecommunications 2023年第5期30卷 51-60页

作者： Meng hui ren Lina Zhao Zongqu College of Software Henan Polytechnic UniversityJiaozuo 454000China

Proxy re-encryption(PRE)allows users to transfer decryption rights to the data requester via *** to the current PRE schemes from lattice(LPRE)cannot fulfill chosen-ciphertext attack(CCA)security,an identity-based PRE(IB-PRE)scheme from learning with errors over ring(RLWE)assumption with ciphertext evolution(IB-LPRE-CE)was ***-LPRE-CE generates the private key using the preimage sampling algorithm(SamplePre)and completes the ciphertext delegation using the re-encryption *** addition,for the problem of ciphertext delegation change caused by the long-term secret key update,the idea of PRE is used to complete ciphertext evolution and the modification of ciphertext delegation,which improves the efficiency of secure data *** terms of security,IB-LPRE-CE is CCA security based on RLWE *** with the current LPRE schemes,IB-LPRE-CE offers greater security and improves the computational efficiency of the encryption algorithm.

关键词： proxy re-encryption(PRE) learning with errors over ring(RLWE) chosen-ciphertext attack(CCA) ciphertext delegation ciphertext evolution

Boosting Unsupervised Monocular Depth Estimation with Auxiliary Semantic Information

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China Communications 2021年第6期18卷 228-243页

作者： hui ren Nan Gao Jia Li State Key Laboratory of Media Convergence and Communication、Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism(Communication University of China)、Beijing Key Laboratory of Modern Entertainment Technology(Communication University of China)、School of Information and Communication EngineeringCommunication University of China.No.1Dingfuzhuang StreetChaoyang DistrictBeijing100024China

Learning-based multi-task models have been widely used in various scene understanding tasks,and complement each other,i.e.,they allow us to consider prior semantic information to better infer *** boost the unsupervised monocular depth estimation using semantic segmentation as an auxiliary *** address the lack of cross-domain datasets and catastrophic forgetting problems encountered in multi-task training,we utilize existing methodology to obtain redundant segmentation maps to build our cross-domain dataset,which not only provides a new way to conduct multi-task training,but also helps us to evaluate results compared with those of other *** addition,in order to comprehensively use the extracted features of the two tasks in the early perception stage,we use a strategy of sharing weights in the network to fuse cross-domain features,and introduce a novel multi-task loss function to further smooth the depth *** experiments on KITTI and Cityscapes datasets show that our method has achieved state-of-the-art performance in the depth estimation task,as well improved semantic segmentation.

关键词： unsupervised monocular depth estimation semantic segmentation multi-task model

Vision-Based Adaptive Prescribed-Time Control of UAV for Uncooperative Target Tracking with Performance Constraint

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Journal of Systems Science & Complexity 2024年第5期37卷 1956-1977页

作者： SHE Xuehua MA hui ren Hongru LI Hongyi School of Automation and the Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of TechnologyGuangzhou 510006China School of Mathematics and Statistics Guangdong University of TechnologyGuangzhou 510006China College of Electronic and Information Engineering and Chongqing Key Laboratory of Generic Technology and System of Service Robots Southwest UniversityChongqing 400715China

This paper discusses the uncooperative target tracking control problem for the unmanned aerial vehicle(UAV)under the performance constraint and scaled relative velocity constraint,in which the states of the uncooperative target can only be estimated through a vision *** the limited detection range,a prescribed performance function is designed to ensure the transient and steady-state performances of the tracking ***,the scaled relative velocity constraint in the dynamic phase is taken into account,and a time-varying nonlinear transformation is used to solve the constraint problem,which not only overcomes the feasibility condition but also fails to violate the constraint ***,the practically prescribed-time stability technique is incorporated into the controller design procedure to guarantee that all signals within the closed-loop system are *** is proved that the UAV can follow the uncooperative target at the desired relative position within a prescribed time,thereby improving the applicability of the vision-based tracking *** results have been presented to prove the validity of the proposed control strategy.

关键词： Nonlinear transformation performance constraint prescribed-time tracking uncooperative target vision-based measurement