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Transcriptome Sequencing Reveals Astrocytes as a Therapeutic Target in Heat-Stroke

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Neuroscience Bulletin 2017年第6期33卷 627-640页

作者： Bing niu Tao Zhang huaiqiang hu Bingzhen Cao Department of Neurology General Hospital of Jinan Military Region Department of Neurology The 303rd Hospital of the People's Liberation Army

Heat-stroke is a serious form of hyperthermia with high mortality, and can induce severe central nervous system disorders. The neurovascular unit（NVU）, which consists of vascular cells, glial cells, and neurons, controls blood-brain barrier（BBB） permeability and cerebral blood flow, and maintains the proper functioning of neuronal circuits. However, the detailed function of each BBB component in heat-stroke remains unknown. In order to interpret alterations caused by heat stress, we performed transcriptome comparison of neuron and astrocyte primary cultures after heat treatment. Differentially-expressed genes were then selected and underwent Gene Ontology annotation and Kyoto Encyclopedia of Genes and Genomes pathway analysis. Gene-act networks were also constructed, and the expression of pivotal genes was validated by quantitative PCR, as well as single-cell q PCR in heatstroke rats. Our work provides valuable information on the transcriptional changes in NVU cells after heat stress,reveals the diverse regulatory mechanisms of two of these cellular components, and shows that a cell-type-specificapproach may be a promising therapeutic strategy for heatstroke treatments.

关键词： Heat stroke RNA-seq Neuron Astrocyte Primary culture Single-cell qPCR

Efficient removal of algae and turbidity from water by a composite coagulant composed of a cationic starch and attapulgite

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Science China(Technological Sciences) 2022年第12期65卷 2979-2989页

作者： jin JiaSheng XIA Wei hu Pan YANG hu State Key Laboratory of Pollution Control and Resource Reuse School of EnvironmentNanjing UniversityNanjing 210023China Quanzhou Institute for Environmental Protection Industry Nanjing UniversityQuanzhou 362000China

Algae and suspended colloidal particles produced high turbidity in water,weakened water purification,and threatened the safety of the water *** this study,a series of composite coagulants(atp-st-CTA)composed of a cationic starch(st-CTA)and attapulgite(ATP)with different fed mass ratios were fabricated by a simple method to coagulate kaolin suspension with initial turbidity of 80.0 NTU and Chlorella suspension with 0.25 mg/L of chlorophyll a(chla),*** transform infrared spectroscopy and scanning electron microscopy investigated the structural characteristics of *** maximum turbidity and chla removal rates of atp-st-CTA were 92.2%and 100.0%,respectively,at natural pH *** effects of the fed mass ratio of st-CTA to ATP in the composites,dose,pH,and coexisting humic acid on the coagulation performance of atp-st-CTA were comprehensively *** on the apparent coagulation behaviors,the zeta potentials of the supernatants after coagulation,and the flocs properties,the coagulation mechanisms of atp-st-CTA were discussed in *** complete charge neutralization due to st-CTA and the enhanced sedimentation by ATP synergistically removed turbidity and algae from the water *** short,atp-st-CTA as a talented material has a notable prospect in applications of water treatment owing to its advantages of environmental friendliness,low cost,and high efficiency.

关键词： composite coagulant cationic starch attapulgite turbidity removal algae removal coagulation mechanism

A study of variable stars in the open cluster NGC 1582 and its surrounding field

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Research in Astronomy and Astrophysics 2016年第10期16卷 35-44页

作者： Fang-Fang Song Ali Esamdin Lu Ma jin-Zhong Liu Yu Zhang hu-Biao niu Tao-Zhi Yang Xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China University of Chinese Academy of Sciences Beijing 100049China

This paper presents Charge-Coupled Device time-series photometric observations of the open cluster NGC 1582 and its surrounding field with Johnson B, V and R filters by using the Nanshan 1 m telescope administered by Xinjiang Astronomical Observatory. 19 variable stars and three variable candi- dates were detected in a 45＇ - 48.75＇ field around the cluster. 12 of the variable stars are newly-discovered variable objects. The physical properties, classifications and memberships of these 22 objects are studied through their light curves, their positions on the color-magnitude diagram and with archival data from the Naval Observatory Merged Astrometric Dataset. Among these objects, five are eclipsing binary systems, six are pulsating variable stars including one known 6 Scuti star and one newly-discovered RR Lyrae star. The distance to the RR Lyrae star is estimated to be 7.9 - 0.3 kpc, indicating that the star is located far behind the cluster. Four variable stars are probable members of the cluster, and 13 of the 22 objects are confirmed to be field stars.

关键词： NGC 1582 -- open cluster -- variable stars -- multi-color observation -- magnitude

Research on the Response Characteristics of Solenoid Valve of the Air-jet Loom by Simulation

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Journal of Thermal Science 2013年第6期22卷 606-612页

作者： jin Yuzhen DENG Ruoyu jin Yingzi hu Xudong Faculty of Mechanical Engineering & Automation Zhejiang Sci-Tech University

Solenoid valve is one of the executive parts of weft insertion control system. According to the response characteristics of the solenoid valve, an improved design becomes a necessity. Firstly, the numerical model was established after analyzing the solenoid valve during its start-up and shut-down. Comparing the simulation data with the practical data, it is verified that the numerical simulation model has a high feasibility. Secondly, excitation voltage and spring pre-compression were adjusted respectively, and the response rules after adjusting were investigated. The research of the study shows: the response time tends to be inverse proportional to the excitation voltage during start-up, and it becomes a constant value with the increase of the excitation voltage; the response time is proportional to the spring pre-compression when the solenoid valve starts up, it is inverse proportional to spring pre-compression when the solenoid valve shuts down. And the total response time is a constant value with the increase of the spring pre-compression. Therefore, the value of the excitation voltage and the spring pre-compression should be selected when the curve is becoming flatten. The results of the research can provide the reference to the further development of the solenoid valve.

关键词： Air-jet loom Solenoid valve Numerical simulation Response speed

Morphology evolution of two-phase Cu-Ag alloys under different conditions

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第3期10卷 458-463页

作者： jin-li hu jin-dong ZHANG Liang MENG Department of Materials Science and Engineering Zhejiang University Hangzhou 310027 China Xingtai Xinhui Copper Special Wire. Co. Ltd. Xingtai 055550 China

Cu-Ag filamentary microcomposites with different Ag contents were prepared by cold drawing and intermediate heat treatments. The microstructure characterization and filamentary distribution were observed for two-phase alloys under different conditions. The effect of heavy drawing strain on the microstructure evolution of Cu-Ag alloys was investigated. The results show that the microstructure components consist of Cu dendrites, eutectic colonies and secondary Ag precipitates in the alloys containing 6%-24% （mass fraction） Ag. With the increase in Ag content, the eutectic colonies in the microstructure increase and gradually change into a continuous net-like distribution. The Cu dendrites, eutectic colonies and secondary Ag precipitates are elongated in an axial direction and developed into the composite filamentary structure during cold drawing deformation. The eutectic colonies tend to evolve into filamentary bundles. The filamentary diameters decrease with the increase in drawing strain degree for the two-phase alloys, in particular for the alloys with low Ag content. The reduction in filamentary diameters becomes slow once the drawing strain has exceeded a certain level.

关键词： Cu-Ag alloy Microstructure Strain Filamentary composite

Early identification of stroke through deep learning with multi-modal human speech and movement data

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Neural Regeneration Research 2025年第1期20卷 234-241页

作者： Zijun Ou Haitao Wang Bin Zhang Haobang Liang Bei hu Longlong Ren Yanjuan Liu Yuhu Zhang Chengbo Dai Hejun Wu Weifeng Li Xin Li School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhouGuangdong ProvinceChina Department of Neurology Guangdong Neuroscience InstituteGuangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong ProvinceChina Department of Emergency Medicine Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong ProvinceChina

Early identification and treatment of stroke can greatly improve patient outcomes and quality of *** clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized *** this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute *** collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the *** compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and *** found that the findings of our deep learning model had a higher clinical value compared with the other ***,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech *** results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.

关键词： artificial intelligence deep learning diagnosis early detection FAST screening stroke

ON THE QUASI-RANDOM CHOICE METHOD FOR THE LIOUVILLE EQUATION OF GEOMETRICAL OPTICS WITH DISCONTINUOUS WAVE SPEED

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Journal of Computational Mathematics 2013年第6期31卷 573-591页

作者： jingwei hu Shi jin Institute for Computational Engineering and Sciences (ICES) The University of Texas at Austin 201 East 24th St Stop C0200 Austin TX 78712 USA Department of Mathematics University of Wisconsin-Madison 480 Lincoln Drive Madison WI 53706 USA Department of Mathematics Institute of Natural Sciences and MOE Key Lab in Scientific and Engineering Computing Shanghai Jiao Tong University Shanghai 200240 China

We study the quasi-random choice method （QRCM） for the Liouville equation of ge- ometrical optics with discontinuous locM wave speed. This equation arises in the phase space computation of high frequency waves through interfaces, where waves undergo partial transmissions and reflections. The numerical challenges include interface, contact discon- tinuities, and measure-valued solutions. The so-called QRCM is a random choice method based on quasi-random sampling （a deterministic alternative to random sampling）. The method not only is viscosity-free but also provides faster convergence rate. Therefore, it is appealing for the prob!em under study which is indeed a Hamiltonian flow. Our analy- sis and computational results show that the QRCM 1） is almost first-order accurate even with the aforementioned discontinuities; 2） gives sharp resolutions for all discontinuities encountered in the problem; and 3） for measure-valued solutions, does not need the level set decomposition for finite difference/volume methods with numerical viscosities.

关键词： Liouville equation High frequency wave Interface Measure-valued solution,Random choice method Quasi-random sequence.

Role of water chemistry on estrone removal by nanofiltration with the presence of hydrophobic acids

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Frontiers of Environmental Science & Engineering 2015年第1期9卷 164-170页

作者： Xue jin Jiangyong hu School of Engineering University of Glasgow Glasgow G12 8LT UK Department of Civil and Environmental Engineering National University of Singapore Singapore 117576 Singapore

Hydrophobic acid organic matter （HpoA） extracted from treated effluent has been known to improve the rejection of steroid hormone estrone by reverse osmosis （RO） and nanofiltration （NF） membranes. In this study, the effects of solution chemistry （solution pH and ionic strength） on the estrone rejection by NF membrane with the presence of HpoA were systematically investigated. Crossflow nanofiltration experiments show that the presence of HpoA significantly improved estrone rejection at all pH and ionic strength levels investigated. It is consistently shown that the ＂enhancement effect＂ of HpoA on estrone rejection at neutral and alkaline pH is attributed to the binding of estrone by HpoA macromolecules via hydrogen bonding between phenolic functional groups in feed solutions, which leads to an increase in molecular weight and appearance of negative charge. The membrane exhibited the best performance in terms ofestrone rejection at pH 10.4 （compared to pH 4 and pH 7） as a result of strengthening the electrostatic repulsion between estrone and membrane with the presence of HpoA. At neutral pH level, the ability of HpoA macromolecules to promote estrone rejection became stronger with increasing ionic strength due to their more extended conformation, which created more chances for the association between estrone and HpoA. The important conclusion of this study is that increasing solution pH and salinity can greatly intensify the ＂enhancement effect＂ of HpoA. These results can be important for NF application in direct/indirect potable water reuse.

关键词： steroid hormone nanofiltration(NF) rejection water chemistry hydrophobic acids indirect potable water reuse

Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes

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Forest Ecosystems 2022年第5期9卷 617-629页

作者： Qiuli Yang Yanjun Su Tianyu hu Shichao jin Xiaoqiang Liu Chunyue niu Zhonghua Liu Maggi Kelly Jianxin Wei Qinghua Guo State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing100093China University of Chinese Academy of Sciences Beijing100049China Plant Phenomics Research Centre Academy for Advanced Interdisciplinary StudiesCollaborative Innovation Centre for Modern Crop Production co-sponsored by Province and MinistryNanjing Agricultural UniversityNanjing210095China Department of Environmental Sciences Policy and ManagementUniversity of CaliforniaBerkeleyCA94720-3114USA Division of Agriculture and Natural Resources University of CaliforniaBerkeleyCA94720-3114USA College of Geography and Remote Sensing Sciences Xinjiang UniversityUrumqiXinjiang830017China Xinjiang Lidar Applied Engineering Technology Research Center UrumqiXinjiang830002China Xinjiang Land and Resources Information Center UrumqiXinjiang830002China Institute of Remote Sensing and Geographic Information System School of Earth and Space SciencesPeking UniversityBeijing100871China

Accurate estimates of forest aboveground biomass(AGB)are essential for global carbon cycle studies and have widely relied on approaches using spectral and structural information of forest canopies extracted from various remote sensing ***,combining the advantages of active and passive data sources to improve estimation accuracy remains ***,we proposed a new approach for forest AGB modeling based on allometric relationships and using the form of power-law to integrate structural and spectral *** 60 km^(2) of drone light detection and ranging(LiDAR)data and 1,370 field plot measurements,covering the four major forest types of China(coniferous forest,sub-tropical broadleaf forest,coniferous and broadleaf-leaved mixed forest,and tropical broadleaf forest),were collected together with Sentinel-2 images to evaluate the proposed *** results show that the most universally useful structural and spectral metrics are the average values of canopy height and spectral index rather than their maximum *** with structural attributes used alone,combining structural and spectral information can improve the estimation accuracy of AGB,increasing R^(2) by about 10%and reducing the root mean square error by about 22%;the accuracy of the proposed approach can yield a R^(2) of 0.7 in different forests *** proposed approach performs the best in coniferous forest,followed by sub-tropical broadleaf forest,coniferous and broadleaf-leaved mixed forest,and then tropical broadleaf ***,the simple linear regression used in the proposed method is less sensitive to sample size and outperforms statistically multivariate machine learning-based regression models such as stepwise multiple regression,artificial neural networks,and Random *** proposed approach may provide an alternative solution to map large-scale forest biomass using space-borne LiDAR and optical images with high accuracy.

关键词： Forest aboveground biomass Drone LiDAR Allometric relationship Power law Tree height Vegetation index