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gaseous signaling molecules as potential therapeutic agents

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Chinese Journal of Natural Medicines 2020年第4期18卷 273-274页

作者： HUANG Zhang-Jian WANG bing-He State Key Laboratory of Natural Medicines Jiangsu Key Laboratory of Drug Discovery for Metabolic DiseasesCenter of Drug DiscoveryChina Pharmaceutical UniversityNanjing 210009China Department of Chemistry and Center for Diagnostics and Therapeutics Georgia State UniversityAtlantaGA 30303USA

In the atmosphere of the earth, many gases including nitrogen (N2), oxygen (O2), and carbon dioxide (CO2)naturally exist to support universal lives. Interestingly, inmammals and plants, some gases are produced endogenously and are known to play essential roles in sustaining life’sprocesses. Nitric oxide (NO), carbon monoxide (CO), and hydrogen sulfide (H2S) are such molecules. The trinity of such gaseous molecules is sometimes referred to as gasotransmitters, with some debate. NO is endogenously produced from L-arginine catalytically by nitric oxide synthase (NOS) and is known to mediate vasodilation.

关键词： endogenous gases monoxide

ga交联PVA/SA静电纺纳米纤维膜的制备及其湿气发电

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现代纺织技术 2024年第10期32卷 40-47页

作者：马如钦王晓雨林红赵兵张德锁苏州大学纺织与服装工程学院江苏苏州215021 苏州经贸职业技术学院江苏苏州215009

为解决静电纺纳米纤维膜湿气发电器件吸湿后纤维易变形的问题,提高湿气发电器件的循环使用性能,采用戊二醛(ga)对聚乙烯醇(PVA)和海藻酸钠(SA)进行交联改性,通过静电纺丝技术制备了戊二醛改性聚乙烯醇/海藻酸钠(G-PVA/SA)纳米纤维膜,并... 详细信息

为解决静电纺纳米纤维膜湿气发电器件吸湿后纤维易变形的问题,提高湿气发电器件的循环使用性能,采用戊二醛(ga)对聚乙烯醇(PVA)和海藻酸钠(SA)进行交联改性,通过静电纺丝技术制备了戊二醛改性聚乙烯醇/海藻酸钠(G-PVA/SA)纳米纤维膜,并将其应用于湿气发电。对G-PVA/SA纳米纤维膜的化学结构、微观形貌、结晶结构和力学性能进行了测试表征,研究了G-PVA/SA纳米纤维膜湿气发电机的发电性能和循环性能,并探索了其在监测传感方面的应用。结果表明:ga可使PVA/SA分子间发生交联,交联后的纺丝液粘度增加,所制备的G-PVA/SA纳米纤维膜纤维直径增大,结晶度上升,力学性能提高,但亲水性降低,其湿气发电性能略有降低。PVA、SA分子间的交联有效提高了纳米纤维的吸湿稳定性,保证了其湿气发电的循环稳定性。当溶液中加入ga的质量分数达2%时,所制备的纳米纤维膜在经10次循环后,湿气发电输出电压由0.38 V降至0.36 V(器件面积2 cm×2 cm),输出电压性能仅下降6.5%。基于其吸湿发电功能,该器件可有效监测湿气源(如人的手指等)的运动变化和人体呼吸的强度,在环境微能源采集、监测传感等方面表现出广阔的应用前景。

关键词：聚乙烯醇海藻酸钠戊二醛交联静电纺丝湿气发电

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数联网标识解析系统中的标识数据布局策略

计算机工程 2024年第6期50卷 311-320页

作者：周春雷宋继勐沈子奇余晗雷杰林兵国家电网有限公司大数据中心北京100052 福建师范大学光电与信息工程学院福建福州350117 北京大学计算机学院北京100871

数联网是为解决目前互联网数据资源共享交互过程中传输效率低、协调成本高、安全管控难等缺陷而提出的一种新型信息基础设施。标识解析系统是实现数据流通的关键,但随着标识注册量和解析量的迅速增长,解析节点正面临着大量高并发解析请... 详细信息

数联网是为解决目前互联网数据资源共享交互过程中传输效率低、协调成本高、安全管控难等缺陷而提出的一种新型信息基础设施。标识解析系统是实现数据流通的关键,但随着标识注册量和解析量的迅速增长,解析节点正面临着大量高并发解析请求,服务质量将变得难以保证。针对该问题,考虑数联网标识解析系统中节点架构的特点,以降低解析时延为目标,提出一种基于遗传算法的自适应离散粒子群优化算法(DPSO-ga)来对标识进行合理布局。该方法综合考虑节点之间的带宽、标识数量和节点容量等因素对解析时延的影响,引入遗传算法的交叉操作和变异操作,对粒子群优化算法的惯性权重因子采取自适应策略,对学习因子采取线性增减的策略。实验结果表明,相较于传统粒子群优化算法及遗传算法,该算法优化效果分别提升了48.9%和19.9%,增加了种群进化的多样性及搜索范围,减少了算法的时间复杂度以及陷入局部最优解的可能性,且能较稳定地降低标识解析时延。

关键词：数联网标识解析数据布局启发式算法遗传算法粒子群优化算法

Screening ionic liquids for efficiently extracting perfluoroalkyl chemicals (PFACs) from wastewater

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Journal of Environmental Sciences 2023年第5期127卷 866-874页

作者： Kaihang Zhang David Kujawski Chris Spurrell bing Wang John CCrittenden Brook Byers Institute of Sustainable Systems and School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlantaGA 30332USA Refinery Water Engineering and Associates Hydrocarbon Processing Water and Waste TechnologyInc.HoustonTX 77042USA Chevron USA VancouverWA 98664USA School of Municipal and Environmental Engineering Shenyang Jianzhu UniversityShenyang 110000China

Liquid-liquid extraction(LLE)using ionic liquids(ILs)-based methods to remove perfluoroalkyl chemicals(PFACs),such as perfluorooctanoic acid(PFOA)and perfluorooctane sulfonic acid(PFOS),from wastewater,is an important ***,the lack of physicochemical and LLE data limits the selection of the most suitable ILs for the extraction of *** this work,1763 ILs for PFACs extraction from water were systematically screened using COSMOtherm to estimate the infinite dilution activity coefficient(lnγ^(∞))of PFOA and PFOS in water and *** evaluate the accuracy of COSMOtherm,8 ILs with various lnγ^(∞)values were selected,and their extraction efficiency(E)and distribution coefficient(D_(exp))were measured *** results showed that the predicted lnγ^(∞)decreased as the increase of experimental extraction efficiency of PFOA or PFOS,while the tendency of predicted distribution coefficient(D_(pre))was consistent with the experimental(D_(exp))*** work provides an efficient basis for selecting ILs for the extraction of PFACs from wastewater.

关键词： Conductor-like screening model for real solvents(COSMO-RS) Ionic liquids Perfluorooctanoic acid(PFOA) Perfluorooctane sulfonic acid(PFOS) Liquid-liquid extraction

Research in prevention and rehabilitation of hamstring muscle strain injury

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Journal of Sport and Health Science 2017年第3期6卷 253-254页

作者： bing Yu Li Li Division of Physical Therapy Department of Allied Health ScienceSchool of MedicineThe University of North Carolina at Chapel Hill Chapel Hill NC 27599-7135USA School of Health and Kinesiology Georgia Southern UniversityStatesboroGA 30460USA

Hamstring muscle strain injury is the most common and prevalent injury in sports involving high-speed running,such as American football,Australian football,English rugby,soccer,track and field,and cricket.1Hamstring muscle strain injury also has a high recurrence rate of up to 48%.2The average practice and game time loss due to hamstring injury is between17 and 60 days,contingent on the grade of injury.2Severe hamstring muscle strain injuries,and associated recurrent inju-

关键词： Research in prevention and rehabilitation of hamstring muscle strain injury

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光伏模组积灰与阴影特性分析及识别方法

科学技术与工程 2024年第7期24卷 2742-2748页

作者：魏东代敏唐九龄冯炳赫易建波四川晟天新能源发展有限公司成都610000 电子科技大学机械与电气工程学院成都611731

针对光伏模组积灰与阴影特性识别问题,详细分析了积灰和阴影的光伏特性曲线差异,揭示了阴影光伏曲线的拐点时变特性。提出由特性曲线的拐点数量及电流电压特性条件共同构成训练模型的输入特征量,基于CatBoost算法训练积灰和阴影识别模... 详细信息

针对光伏模组积灰与阴影特性识别问题,详细分析了积灰和阴影的光伏特性曲线差异,揭示了阴影光伏曲线的拐点时变特性。提出由特性曲线的拐点数量及电流电压特性条件共同构成训练模型的输入特征量,基于CatBoost算法训练积灰和阴影识别模型。最后,利用光伏模组实测数据对CatBoost算法、ID3和ga-BP算法训练出的识别模型进行性能分析和对比测试,结果表明基于CatBoost训练出的识别模型输入量区分性强、诊断精度高,极具工程应用价值。

关键词： CatBoost算法光伏模组积灰和阴影识别光伏特性曲线

不同输入变量对光伏功率异常数据修复的影响分析

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河北电力技术 2024年第1期43卷 72-76页

作者：高冰李国翊高丽娟国网河北省电力有限公司衡水供电分公司河北衡水053000

光伏电站及分布式光伏设备输出功率数据记录因量测设备异常、通信故障、信号干扰等因素会出现异常,影响电网决策。因此,本文提出基于遗传算法优化初值的反向传播神经网络,利用ga-BP神经网络进行异常数据修复,建立线性内插法数据修复模... 详细信息

光伏电站及分布式光伏设备输出功率数据记录因量测设备异常、通信故障、信号干扰等因素会出现异常,影响电网决策。因此,本文提出基于遗传算法优化初值的反向传播神经网络,利用ga-BP神经网络进行异常数据修复,建立线性内插法数据修复模型作为对照组,研究了以数值气象记录(辐照强度、气温、相对湿度、风速及风向)、天气类型、邻近相似电站功率等参数的不同组合作为神经网络的输入变量对修复效果的影响。实例分析表明,采用全部的输入变量可取得较好的修复效果。

关键词：光伏发电人工神经网络异常数据修复遗传算法输入变量

A New Method for Resource Allocation Optimization in Disaster Reduction and Risk Governance

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International Journal of Disaster Risk Science 2016年第2期7卷 138-150页

作者： Xiao-bing Hu Ming Wang Tao Ye Peijun Shi State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Academy of Disaster Reduction and Emergence Management Beijing Normal University

How to allocate and use resources play a crucial role in disaster reduction and risk governance(DRRG).The challenge comes largely from two aspects: the resources available for allocation are usually limited in quantity; and the multiple stakeholders involved in DRRG often have conflicting interests in the allocation of these limited resources. Therefore resource allocation in DRRG can be formulated as a constrained multiobjective optimization problem(MOOP). The Pareto front is a key concept in resolving a MOOP, and it is associated with the complete set of optimal solutions. However, most existing methods for solving a MOOPs only calculate a part or an approximation of the Pareto front, and thus can hardly provide the most effective or accurate support to decisionmakers in DRRG. This article introduces a new method whose goal is to find the complete Pareto front that resolves the resource allocation optimization problem in *** theoretical conditions needed to guarantee finding a complete Pareto front are given and a practicable, ripplespreading algorithm is developed to calculate the complete Pareto front. A resource allocation problem of risk governance in agriculture is then used as a case study to test the applicability and reliability of the proposed method. The results demonstrate the advantages of the proposed method in terms of both solution quality and computational efficiency when compared with traditional methods.

关键词： Disaster reduction Multiobjective optimization Pareto front Resource allocation Risk governance Ripple-spreading algorithm

Multiaxial electrospun generation of hollow graphene aerogel spheres for broadb and high-performance microwave absorption

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Nano Research 2020年第2期13卷 477-484页

作者： Tian Li Dandan Zhi Yao Chen bing Li Zuowan Zhou Fanbin Meng Key Laboratory of Advanced Technologies of Materials(Ministry of Education) School of Materials Science and EngineeringSouthwest Jiaotong University Chengdu 610031China Shandong Qiangjunwei Intelligent Equipment Co.LTD Yantai 264000China

Although graphene aerogels(ga)have been attracted great attention,the easy-operation and large-scale production of ga are still ***,most ga have a monolith-like appearance,limiting their application-specific ***,we highlight graphene aerogel spheres with controllable hollow structures(HgaS)that are delicately designed and manufactured via coaxial electrospinning coupled with freeze-drying and *** HgaS exhibit a spherical configuration at the macroscale,while the construction elements of graphene on the microscale showing an interconnected radial microchannel *** ball-in-ball graphene aerogel spheres(BgaS)are obtained by reference to the triaxial electrospinning *** as-prepared spheres possess the controllable integrated conductive networks,leading to the effective dielectric loss and impedance matching thus bringing on high-performance microwave *** as-obtained HgaS shows a minimum reflection loss of-52.7 dB and a broad effective absorption bandwidth(f)of 7.0 GHz with thickness of 2.3 ***,the fe reaches 9.3 GHz for BgaS with thickness of 3.4 *** superior microwave absorption of HgaS and BgaS confirms combination of multiaxial electrospinning and freeze-drying on the multiscale is an effective strategy for scalable fabrication of advanced *** functional graphene aerogel spheres.

关键词： multiaxial electrospinning hollow graphene aerogel spheres hierarchical porous structures electromagnetic performance