中华民族共同体视域下档案参与自我身份认同构建的维度与路径

基于自我认同的“个体—群体”两个维度划分,探究档案如何推动个人对自身身份的认同及对所属中华民族的认同。在个体维度,档案通过多元属性的身份确证、唤醒个人身份,构建个体的自我身份认同。在群体维度,档案在缔造中华民族的共同记忆脉络、蕴含“文缘”形成群体情感依附、记录中华民族伟大复兴实现历程等过程中发挥着重要作用,以此构建中华民族群体的自我身份认同。最后,从明确身份归属、传承民族集体记忆、连接共同情感等方面探讨如何强化自我认同感。

Genome-Wide Discovery and Expression Profiling of the SWEET Sugar Transporter Gene Family in Woodland Strawberry (Fragaria vesca) under Developmental and Stress Conditions: Structural and Evolutionary Analysis

The SWEET(sugar will eventually be exported transporter)family proteins are a recently identified class of sugar transporters that are essential for various physiological processes.Although the functions of the SWEET proteins have been identified in a number of species,to date,there have been no reports of the functions of the SWEET genes in woodland strawberries(Fragaria vesca).In this study,we identified 15 genes that were highly homolo-gous to the A.thaliana AtSWEET genes and designated them as FvSWEET1–FvSWEET15.We then conducted a structural and evolutionary analysis of these 15 FvSWEET genes.The phylogenetic analysis enabled us to categor-ize the predicted 15 SWEET proteins into four distinct groups.We observed slight variations in the exon‒intron structures of these genes,while the motifs and domain structures remained highly conserved.Additionally,the developmental and biological stress expression profiles of the 15 FvSWEET genes were extracted and analyzed.Finally,WGCNA coexpression network analysis was run to search for possible interacting genes of FvSWEET genes.The results showed that the FvSWEET10 genes interacted with 20 other genes,playing roles in response to bacterial and fungal infections.The outcomes of this study provide insights into the further study of FvSWEET genes and may also aid in the functional characterization of the FvSWEET genes in woodland strawberries.

基于离散Kalman滤波的计算机网络通信异常节点识别方法

传统异常节点识别方法存在效率较低、精准度较差的局限性,为解决以上问题,现提出基于离散Kalman滤波的计算机网络通信异常节点识别方法。首先,基于离散Kalman滤波构建通信节点测量信道模型,使系统的平方误差降至最小,从而为离散过程的优化设计提供递推算法,其次,提取计算机网络通信异常节点特征,将所有的异常进攻事件都分割成不同的数据集合,最后,实现计算机网络通信异常节点的定位并识别。实验结果证明:基于离散Kalman滤波的计算机网络通信异常节点识别方法识别准确率可达到99%以上,能够准确识别出异常节点,具有较高的识别精度。

Genome-Wide Exploration of the Grape GLR Gene Family and Differential Responses of VvGLR3.1 and VvGLR3.2 to Low Temperature and Salt Stress

Grapes,one of the oldest tree species globally,are rich in vitamins.However,environmental conditions such as low temperature and soil salinization significantly affect grape yield and quality.The glutamate receptor(GLR)family,comprising highly conserved ligand-gated ion channels,regulates plant growth and development in response to stress.In this study,11 members of the VvGLR gene family in grapes were identified using whole-genome sequence analysis.Bioinformatic methods were employed to analyze the basic physical and chemical properties,phylogenetic trees,conserved domains,motifs,expression patterns,and evolutionary relationships.Phylogenetic and collinear analyses revealed that the VvGLRs were divided into three subgroups,showing the high conservation of the grape GLR family.These members exhibited 2 glutamate receptor binding regions(GABAb and GluR)and 3-4 transmembrane regions(M1,M2,M3,and M4).Real-time quantitative PCR analysis demonstrated the sensitivity of all VvGLRs to low temperature and salt stress.Subsequent localization studies in Nicotiana tabacum verified that VvGLR3.1 and VvGLR3.2 proteins were located on the cell membrane and cell nucleus.Additionally,yeast transformation experiments confirmed the functionality of VvGLR3.1 and VvGLR3.2 in response to low temperature and salt stress.Thesefindings highlight the significant role of the GLR family,a highly conserved group of ion channels,in enhancing grape stress resistance.This study offers new insights into the grape GLR gene family,providing fundamental knowledge for further functional analysis and breeding of stress-resistant grapevines.

A Modified Principal Component Analysis Method for Honeycomb Sandwich Panel Debonding Recognition Based on Distributed Optical Fiber Sensing Signals

The safety and integrity requirements of aerospace composite structures necessitate real-time health monitoring throughout their service life.To this end,distributed optical fiber sensors utilizing back Rayleigh scattering have been extensively deployed in structural health monitoring due to their advantages,such as lightweight and ease of embedding.However,identifying the precise location of damage from the optical fiber signals remains a critical challenge.In this paper,a novel approach which namely Modified Sliding Window Principal Component Analysis(MSWPCA)was proposed to facilitate automatic damage identification and localization via distributed optical fiber sensors.The proposed method is able to extract signal characteristics interfered by measurement noise to improve the accuracy of damage detection.Specifically,we applied the MSWPCA method to monitor and analyze the debonding propagation process in honeycomb sandwich panel structures.Our findings demonstrate that the training model exhibits high precision in detecting the location and size of honeycomb debonding,thereby facilitating reliable and efficient online assessment of the structural health state.

始祖神话中的中华民族共同体意识

在中华民族的发展历程中,神话作为中华民族文化的源头,对中华民族共同体意识的形成起到了重要作用,其中以始祖神话最为典型。具体而言,各民族始祖神话传递着对整个华夏民族的血缘认同。这种以观念意义上的血缘为基础的民族认同,是奠定中华民族共同体意识的主观情感纽带。以盘古神话、伏羲女娲神话为代表的创世始祖神话经其广泛传播,为多地域、多民族所接纳,传递着对中华民族的地域认同。这种以地域为依托的民族认同是夯实中华民族共同体意识的客观物质基础。以炎黄为代表的人文始祖神话传递着对中华民族精神信仰认同,反映出各民族共同的历史和文化底蕴。各民族始祖神话以血缘为纽带、以地域为依托、以精神信仰为核心,生动而具体地体现了中华民族共同体意识。

基于声阵列的电力设备强干扰噪声源识别系统设计

由于外界强噪声干扰导致电力设备不能正常运行,为此,基于声阵列设计了一种新的电力设备强干扰噪声源识别系统。采用SJI19210型采集器采集信号,通过SIK-99101型处理器拼接组合信号,利用SUIJNUHJ121型分析器内部的进场声全息分析模块完成噪声源分析。分别设定噪声分析程序和声阵列识别程序,利用声阵列的扫描因子确定噪声源,完成电力设备强干扰噪声源识别。实验结果表明,所设计系统对稳定波动噪声信号噪声源识别精度高于96.42%,对不稳定信号噪声源识别精度在95.25%以上,对相对稳定噪声识别精度为94.36%,具有极强的识别能力。

枸杞酒专用酿酒酵母的筛选及香气成分的分析

为筛选适合枸杞酒发酵的优良酿酒酵母,从枸杞自然发酵醪、枸杞叶及枸杞园土壤中采集样本。将分离的菌株形态初步鉴定为酿酒酵母的菌株通过杜氏小管发酵法、产酒精能力试验和耐受性试验,筛选出5株发酵性能好的酿酒酵母,以商业酵母XR作为对照,测定这5株菌所发酵枸杞酒的理化指标。运用顶空固相微萃取-气相色谱-质谱联用仪与香气活度值(OAV)分析果酒香气成分,筛选得到1株最佳酿酒酵母JY2,并进行分子鉴定。结果表明:经菌株形态和26S rDNA的相似性比对后,JY2鉴定为酿酒酵母。JY2发酵的枸杞酒为金黄色,颜色饱满协调,澄清透明,口感柔和,香气馥郁。

基于互感识别及移相角优化的全方位无线电能传输系统靶向传能方法

针对传统无线电能传输(WPT)系统中发射线圈与接收线圈发生位置或角度偏移时系统输出能效急剧下降的问题,该文提出靶向传能式全方位WPT系统,可使接收线圈处于任意方位时均能实现高效率全方位无线传能。采用具备全方位磁能发射能力的复合平面线圈作为发射机构,基于三个独立逆变器及LCC谐振补偿网络建立系统模型,推导耦合机构效率与互感及移相角的关系。在此基础上,提出基于互感识别及移相角优化的全方位WPT系统靶向传能方法,通过互感识别以间接判断出“靶”(即,接收线圈)的方位,通过移相角优化以获得靶向传能所需的激励电流。实验结果表明,接收线圈在±60 mm范围内任意移动或者旋转时的系统直流-直流效率均大于80%,提出的靶向方法比传统的旋转方法的传能效率至少高10%。

东海内陆架泥质区台风沉积辨识的指标与方法研究

台风是当今人类社会面临的全球性重大环境灾害问题之一,但由于台风器测年限较短,限制了对台风长期演化机制的研究。沉积记录成为拓展台风记录时间跨度的重要载体,其中台风沉积的有效辨识是重要基础。尽管许多研究试图基于各种指标和方法来重建长时间尺度的台风活动,但目前仍缺少对台风沉积辨识指标与方法有效性的评估。本文以高分辨率的东海内陆架泥质区ZM02孔为载体,采用放射性同位素^(210)Pb和^(137)Cs定年法确定沉积物的年代序列。耦合器测记录和沉积记录,分析器测时期台风强度和频率与台风沉积敏感指标(如砂含量和D_(90))之间的对应关系,以期探讨台风沉积辨识指标和方法的有效性。结果显示,ZM02孔的平均沉积速率为0.97 cm/a,其上部4.5~100 cm的沉积年代为1917-2011年。砂含量和D_(90)均可作为东海内陆架泥质区台风沉积辨识的有效指标,阈值法的识别效果最好且稳定性高。砂含量可能是反映浙江海岸台风强度变化的潜在指标,而D_(90)则可能蕴含台风频率信息。这些认识有助于更准确地利用沉积记录去拓展台风记录的时间跨度,也有助于提高从沉积记录解译环境信息的能力。

高海拔石灰石排土场汛期潜在滑移区域的D-InSAR评价研究

为解决高海拔排土场边坡及周边山体地质灾害的安全稳定性监测困难等问题,以西藏山南桑日县石灰石矿区及其周边山体为研究区域,通过分析西藏山南桑日县2015—2021年每年月降雨量,选取研究区域每年汛期两景Sentinel-1A卫星影像数据,利用合成孔径雷达差分干涉测量(D-InSAR)技术对影像数据进行处理,经过基线估算、差分干涉处理、相位解缠等计算,得到每年汛期研究区域某排土场边坡的地表形变信息,并基于排土场滑坡单一预警准则识别研究区域的潜在滑移区域及滑移量,进而判断该排土场边坡的安全状态以及对下游铁路、居民的影响。结果表明:排土场边坡处于安全稳定状态;2020年汛期研究区域的潜在滑移量为5284.106 m^(3);研究区域内潜在滑移区域Ⅰ、Ⅱ区对下游铁路、居民安全构成一定的威胁,需要对其进行安全隐患排查,潜在滑移区域Ⅲ、Ⅳ区对下游铁路、居民无影响,但对排土场边坡本体稳定性构成一定的威胁,需要对其坡脚等位置进行安全防护;D-InSAR技术能够应用于高海拔排土场边坡潜在滑移点与滑移量的识别。

Intelligent Risk-Identification Algorithm with Vision and 3D LiDAR Patterns at Damaged Buildings

Existingfirefighting robots are focused on simple storage orfire sup-pression outside buildings rather than detection or recognition.Utilizing a large number of robots using expensive equipment is challenging.This study aims to increase the efficiency of search and rescue operations and the safety offirefigh-ters by detecting and identifying the disaster site by recognizing collapsed areas,obstacles,and rescuers on-site.A fusion algorithm combining a camera and three-dimension light detection and ranging(3D LiDAR)is proposed to detect and loca-lize the interiors of disaster sites.The algorithm detects obstacles by analyzingfloor segmentation and edge patterns using a mask regional convolutional neural network(mask R-CNN)features model based on the visual data collected from a parallelly connected camera and 3D LiDAR.People as objects are detected using you only look once version 4(YOLOv4)in the image data to localize persons requiring rescue.The point cloud data based on 3D LiDAR cluster the objects using the density-based spatial clustering of applications with noise(DBSCAN)clustering algorithm and estimate the distance to the actual object using the center point of the clustering result.The proposed artificial intelligence(AI)algorithm was verified based on individual sensors using a sensor-mounted robot in an actual building to detectfloor surfaces,atypical obstacles,and persons requiring rescue.Accordingly,the fused AI algorithm was comparatively verified.

A Non-Singleton Type-3 Fuzzy Modeling: Optimized by Square-Root Cubature Kalman Filter

In many problems,to analyze the process/metabolism behavior,a mod-el of the system is identified.The main gap is the weakness of current methods vs.noisy environments.The primary objective of this study is to present a more robust method against uncertainties.This paper proposes a new deep learning scheme for modeling and identification applications.The suggested approach is based on non-singleton type-3 fuzzy logic systems(NT3-FLSs)that can support measurement errors and high-level uncertainties.Besides the rule optimization,the antecedent parameters and the level of secondary memberships are also adjusted by the suggested square root cubature Kalmanfilter(SCKF).In the learn-ing algorithm,the presented NT3-FLSs are deeply learned,and their nonlinear structure is preserved.The designed scheme is applied for modeling carbon cap-ture and sequestration problem using real-world data sets.Through various ana-lyses and comparisons,the better efficiency of the proposed fuzzy modeling scheme is verified.The main advantages of the suggested approach include better resistance against uncertainties,deep learning,and good convergence.

海洋来源青霉Penicillium sp.的化学成分研究

海洋微生物因生存环境特殊,常能形成结构特异、活性良好的代谢产物。本文对1株海洋沉积物中分离得到的青霉Penicillium sp.进行化学成分研究和抗菌活性评价。结果分离和鉴定了4个化合物,分别为Nuatigenin(1)、吲哚-3-乙酸(2)、胸苷(3)和3-苯基乳酸(4),其中化合物1对金黄色葡萄球菌和白色念珠菌均有一定的抑菌活性,化合物4对白色念珠菌抑菌效果良好,其余化合物对不同的菌均无抑制作用。

DNA鉴定技术在法科学中的应用

人类基因组遗传多态现象研究的深入,导致了法科学领域个体识别和亲权鉴定发生根本性变化。本文就新的遗传标记和各种DNA鉴定技术在法科学中的研究进展、应用前景与亟待解决的问题进行了探讨。

广西辣椒病毒病调查及病原种类初步鉴定

对广西9个市县辣椒病毒病的发生情况进行初步调查,并采用双抗体夹心酶联免疫吸附法(DAS-ELISA)鉴定75份辣椒疑似病毒病样本的8种常见蔬菜病毒。结果表明,桂南、桂中地区辣椒病毒病发生普遍较桂西、桂北地区的严重。共有71份辣椒样本检测呈阳性,其中辣椒脉斑驳病毒(Chilli veinal mottle virus,Chi VMV)的侵染最普遍,总检出率最高,达63.38%,为广西辣椒的优势病原种类;甜椒叶脉斑驳病毒(Pepper vein mottle virus,PVMV)、黄瓜花叶病毒(Cucumber mosaic virus,CMV)、辣椒轻斑驳病毒(Pepper mild mottle virus,PMMo V)、辣椒环斑病毒(Chilli ring spot virus,Chi RSV)的侵染也很普遍,总检出率分别为56.34%、43.66%、35.21%和33.80%。在71份阳性样本中,有87.32%的样本受2种及2种以上病毒的复合侵染,受2种或3种病毒复合侵染的分别占32.39%和29.58%;2种病毒复合侵染类型中,以ChiVMV+CMV、PVMV+PMMo V复合侵染最普遍,均占21.74%;3种病毒复合侵染类型中,以Chi VMV+CMV+PVMV复合侵染最普遍,占23.81%。

广西火龙果采后病害主要病原菌分离与鉴定

从广西南宁市、钦州市和防城港市采收火龙果,经28℃存放,观察采后发病情况;取病部进行组织分离,根据形态学特性和rDNA-ITS序列分析对病原菌进行鉴定。结果表明,广西火龙果采后贮藏发生的病害有软腐病[Fusarium equiseti（Corda）Sacc.、Gilbertella persicaria（Eddy）Hesselt.],黑斑病[Alternaria alternata（Fr.）Keissl.、Bipolaris cactivora（Petrak）Alcorn],溃疡病[Neoscytalidium dimidiatum（Penz.）Crous et Slippers],其中木贼镰刀菌引起火龙果软腐病为首次发现。

数字图像处理应用于车辆牌照识别的研究

探讨了将数字图像处理技术应用于机车车辆牌照识别的基本方法.在图像预处理部分,选用灰度差倒数加权平均算法对源图像进行滤波处理;应用分段线性变换算法增强图像对比度.通过边缘检测算法对车辆牌照进行准确地定位及对文字进行分割,完成对车牌上的字符的识别是利用各个字符的图像和字体的特征值,对其中每个字符进行有效、准确的识别.

中国近海裸甲藻类分类研究

裸甲藻的分类鉴定工作是其生理生态学研究和赤潮研究的基础,为进一步完善我国裸甲藻分类体系,并为裸甲藻鉴定提供参考依据,收集了国家海洋局第一海洋研究所近年来在中国近海海域进行浮游植物调查所采集的水样与网样标本,针对裸甲藻目进行鉴定,初步鉴定出裸甲藻25种,其中在我国海域首次记录的有6种。以《中国海洋生物名录》收录的分类体系为基础,参照World Register of Marine Species的最新分类系统,将鉴定的25种裸甲藻分为5个科15个属。

计及发电机无功越限的广域戴维南等值参数在线计算方法

为适应可再生能源大规模接入带来的随机性和波动性,在广域量测条件下,提出基于单一运行状态断面数据的戴维南等值参数在线跟踪计算方法。首先,对负荷节点的负荷进行等效阻抗处理;其次,通过修正原系统节点导纳矩阵得到等效阻抗处理后的系统导纳矩阵;最后,根据修正后导纳阵和节点电压方程,按戴维南等值的定义,计算负荷节点的开路电压作为戴维南等值电势,进而获得负荷节点的戴维南等值全部参数。在该方法基础上,还可以较为准确地计算发电机无功越限即PV转PQ节点情况下的戴维南等值参数。通过仿真算例分析验证了该方法的正确性和有效性,在PV转PQ节点情况下也具有较好的计算精度。