^(60)Co-γ射线对不同无花果品种一年生枝条的辐射效应分析

【目的】研究^(60)Co-γ射线对不同无花果品种一年生枝条死亡率、抗氧化酶活性等相关理化指标的影响,确定最佳辐射诱变剂量,为利用^(60)Co-γ射线辐射诱变技术提高无花果遗传多样性、创造新种质、培育优良新品种提供科学依据。【方法】以无花果品种布兰瑞克和中华紫果一年生休眠枝为试材,采用^(60)Co-γ射线为辐照源,设置不同剂量0、30、45、60、75 Gy的辐射处理,分析辐照引起枝叶死亡率、酶活性等变化。【结果】随着辐射剂量的增加,2个无花果品种扦插苗成活率呈下降趋势,株高、茎粗、节间长度、叶片长度、叶片宽度和分枝数指标呈下降趋势,叶片长宽比差异不显著。中华紫果品种的SOD、POD、CAT等酶活性均呈现先增后减的趋势,分别在45、60 Gy剂量时达到峰值,MDA含量呈现一直上升趋势,H_(2)O_(2)含量呈现先增后降趋势。布兰瑞克品种的SOD、POD、CAT酶活性,随着辐射剂量的增加均呈现先降后增趋势。MDA、H_(2)O_(2)含量基本保持上升趋势。【结论】辐射导致无花果扦插苗幼苗生长缓慢、株高矮化、茎粗变细、叶片变小、分枝减少。中华紫果的半致死辐射剂量为56 Gy,布兰瑞克为70 Gy,布兰瑞克对辐射的耐受性高于中华紫果。

镁合金表面热喷涂WC-10Co-4Cr粒子沉积及分布特性

为了探究高速空气燃料热喷涂(activated combustion-high velocity air fuel,AC-HVAF)过程中喷涂粒子撞击基材后的沉积特性。采用AC-HVAF热喷涂技术在AZ80镁合金基体上沉积WC-10Co-4Cr硬质涂层。通过离散沉积实验获得薄层沉积粒子,探讨各种沉积形貌的种类、形成原因、结合机制及射流中粒子的径向和轴向分布。结果表明:在AC-HVAF粒子沉积过程中,嵌入型沉积为主要的沉积形貌,同时包含少量的破碎型与空腔型沉积粒子。在涂层的形成过程中,嵌入型沉积对涂层/基体结合性能起重要作用;空腔型沉积的小颗粒及破碎型沉积的大颗粒是造成沉积效率下降的主要原因。喷涂粒子主要集中在射流中心,越靠近射流边缘,空腔型沉积粒子越多,最终导致AC-HVAF粒子射流呈现出空间分布特征。

^(60)Co-γ辐射对2种锦带幼苗生长及生理指标的影响

为了探究辐射诱变对“白花锦带花”和“锦带花”形态及生理特性的影响,采用不同剂量(0~300 Gy)的^(60)Co-γ射线辐射“白花锦带花”与“锦带花”休眠期种子,观测辐射对锦带花生长的影响,测定其生长量及幼苗叶片的叶绿素含量、叶绿素荧光指标、光合作用参数、SOD、POD、MDA和可溶性蛋白含量。研究结果显示,由于辐射剂量的增大,苗高、叶长、叶宽、节间距、叶绿素荧光、光合作用参数、SOD活性、POD活性出现了明显的先升高后降低的趋势,在50 Gy时到达了峰值。同时,随着辐射剂量的增加,叶绿素含量和可溶性蛋白含量呈现出下降的趋势,MDA含量明显升高。综上所述,在(2 Gy/min)剂量率的辐射条件下“白花锦带花”种子较适宜的诱变剂量为50 Gy,而“锦带花”以50~100 Gy最合适。

不同剂量^(60)Co-γ射线辐照藜麦种子的效应研究

为了研究^(60)Co-γ射线辐照在藜麦育种中的应用,探讨^(60)Co-γ射线辐射诱变藜麦的适宜剂量,本研究利用4种剂量^(60)Co-γ辐射4个不同藜麦品种,对辐射后的种子进行室内发芽试验和田间种植试验,并对M1代的生育过程、畸变率、突变率进行了调查和分析。结果表明,经过150~450 Gy的辐照剂量处理后,藜麦的形态特征和生长表现出显著变化;发芽率呈先上升后下降的趋势,150 Gy剂量可促进种胚活力,250 Gy以上剂量显著降低发芽率;辐射导致出苗延迟,高剂量下甚至无法正常出苗,出苗率也显著降低,表明辐射对幼苗生长产生负面影响;成株率随辐射剂量增加而下降,幼苗自然枯死增多,说明辐射对发芽种子胚芽的继续发育抑制显著;辐射导致遗传变异,包括早熟、矮化、穗颜色等方面,突变频率随剂量增加而增加。综上可知,藜麦的生长、发芽、出苗、成株等受到辐射剂量影响,适度辐射可促进发芽,但高剂量对生长和遗传特性产生负面效应。本研究对于辐射育种的可行性和作物改良意义重大,但需深入研究其机制和应用潜力。

^(60)Co-γ射线辐照灭菌对牡丹皮质量影响的多元评价研究

为考察^(60)Co-γ射线辐照灭菌对牡丹皮质量的影响,本研究采用不同吸收剂量(0、5、10、20、30 kGy)^(60)Co-γ射线辐照处理试验样品,比较辐照前后样品微生物负载变化、高效液相色谱(HPLC)指纹图谱相似度、水提物抑菌活性的变化,并建立牡丹皮近红外光谱一致性评价模型。结果表明,当吸收剂量为5 kGy时即可让微生物负载超标样品中的需氧菌总数、霉菌和酵母菌总数及耐胆盐革兰阴性菌数量降至标准规定(《美国药典》USP-NF2023)以下;随着吸收剂量的增加,牡丹皮样品指纹图谱相似度呈下降趋势;辐照后样品水提物对金黄色葡萄球菌的抑菌圈直径与未辐照相比无显著差异(P>0.05);采用近红外光谱一致性评价模型能够较好地区分辐照与未辐照样品。鉴于不适宜的^(60)Co-γ射线辐照剂量可能会对牡丹皮质量造成一定影响,建议牡丹皮的辐照吸收剂量不超过5 kGy。本研究结果可为牡丹皮辐照灭菌吸收剂量的选取提供参考依据。

不同^(60)Co-γ辐射剂量对月季仙境、北京红、金凤凰生长和开花的影响

为研究物理辐射对3个月季品种扦插苗的影响,利用0、10、20、40、60、80 Gy剂量的^(60)Co-γ对仙境、北京红、金凤凰月季扦插苗进行辐射处理,测定和分析处理后月季苗的形态指标、突变率、死亡率和半致死率等。结果表明,随着辐射剂量增加,3个月季品种的扦插苗的株高、冠幅、侧枝数、侧枝长度、复叶长、复叶宽随之降低,其中仙境和北京红在10 Gy辐射剂量下生长势最好,而金凤凰在20 Gy生长势最好。供试植株的死亡率随着辐射剂量增加而增加,仙境在10和20 Gy处理下死亡率较低且花色变异较多。仙境、北京红、金凤凰的半致死剂量分别为53、132、19.87 Gy。仙境在10 Gy辐射剂量下突变率最高达31.67%,产生了白色、水粉色、嫩粉色、粉白相间等多种花色突变;金凤凰在10 Gy剂量下花瓣边缘有缺裂,在20 Gy辐射剂量下花瓣边缘深裂、反卷;北京红在10 Gy剂量下有花瓣数量明显增加,花型为千重瓣。综上所述,^(60)Co-γ辐射剂量10和20 Gy有利于促进供试植株的生长,同时产生新的变异花色和新花型。本研究结果为月季的良种选育和新品系培育提供了参考。

^(60)Co-γ辐照对卵清蛋白糖基化体系结构和糖基化产物的影响

为探究^(60)Co-γ辐照对糖基化体系结构和糖基化产物的影响,以卵清蛋白(OVA)-葡萄糖体系为研究对象,经0,25,50,75,100 kGy的^(60)Co-γ辐照后,采用SDS-PAGE、荧光光谱、圆二色谱测定其分子质量、三级结构及二级结构的变化。借助高效液相色谱法、紫外光谱法测定其体系内产生的有害糖基化产物(果糖胺、丙烯酰胺、荧光性AGEs、戊糖素、类黑精)的含量。OVA分子质量和表面疏水性的增加、内源荧光强度和α-螺旋含量的降低、β-结构(β-折叠和β-转角)含量的增加表明,^(60)Co-γ辐照呈剂量依赖性,促进了OVA与葡萄糖的糖基化反应。此外,^(60)Co-γ辐照后体系内产生的果糖胺、丙烯酰胺的含量呈现先上升后下降的趋势,在辐照剂量为50 kGy时达到最大值。荧光性AGEs、戊糖素、类黑精的含量以剂量依赖性方式增加。综合来看,为了减少辐照加工过程中蛋制品内有害糖基化产物的含量,提高其安全性,需将^(60)Co-γ辐照的剂量控制在25 kGy以内。本研究结果为未来扩展食品辐照技术在蛋制品方面的应用提供一定的科学依据。

^(60)Co-γ射线辐照对雪茄烟叶发酵微生物和代谢物变化及烟叶质量的影响

【目的】通过^(60)Co-γ射线辐照灭菌,明确微生物在雪茄烟叶发酵过程中的重要作用。【方法】以四川雪茄烟品种德雪1号为试验材料,以剂量10 kGy的^(60)Co-γ射线对发酵前烟叶进行辐照处理,测定分析发酵过程中烟叶微生物多样性、代谢组学、中性香气成分和常规化学成分含量。【结果】(1)辐照组烟叶发酵28 d样本经传统分离培养和Illumina MiSeq高通量测序均未发现细菌群落。(2)非靶向代谢组学结果显示,辐照组烟叶发酵28 d后芸香苷、根皮苷和山奈酚等多酚类物质,山奈酚-3-O-芸香糖苷等多酚糖苷类物质,二肽等含量高于未辐照组烟叶,而亮氨酸、L-丝氨酸和脯氨酸等氨基酸含量低于未辐照烟叶。KEGG富集差异显著的代谢通路是黄酮和黄酮醇生物合成通路与花生四烯酸代谢通路。(3)发酵28 d后,两组烟叶的生物碱、还原糖、总糖、淀粉和蛋白质含量均显著降低,辐照组烟叶发酵前后各指标的降幅小于未辐照烟叶。辐照组烟叶发酵28 d后中性香气成分总量显著低于未辐照烟叶,而棕色化反应产物总量显著增加,烟叶劲头、杂气、刺激性更大。【结论】对发酵前烟叶进行10 kGy^(60)Co-γ射线辐照可有效杀灭烟叶细菌,发酵28 d后大分子物质降解转化低于未辐照烟叶,感官质量增加幅度减小,但相比于发酵前仍有一定程度的改善。

^(60)Co-NTG复合诱变选育丁烯基多杀菌素高产菌株及其杀虫活性

为获得稳定高产的丁烯基多杀菌素生产菌株并明确其对农业害虫的杀灭效果,以前期研究获得的须糖多孢菌Saccharopolyspora pogona ASAGF19为初始菌株,通过^(60)Co-γ射线和亚硝基胍复合诱变得到1株遗传性状稳定的高产突变株ASAGF30A11,较初始菌株产量提高了61.26%,3次传代产量变化幅度小于10.00%。对高产菌株发酵液进行分离纯化获得了丁烯基多杀菌素粗品,配制成1.5 g/L浓度的母液进行稀释,对蓟马、蚜虫以及小菜蛾进行室内毒力测定,得出其对3种供试害虫的LC_(50)分别为1.92 mg/L、1.23 mg/L和0.27 mg/L。经过比较,丁烯基多杀菌素对蓟马的杀灭效果优于多杀菌素(LC_(50)为0.57 mg/L)和乙基多杀菌素(LC_(50)为0.64 mg/L);对蚜虫的杀灭效果优于多杀菌素(LC_(50)为72.60 mg/L),低于阿维菌素(LC_(50)为0.14 mg/L);对小菜蛾的杀灭效果优于多杀菌素(LC_(50)为2.87 mg/L),低于乙基多杀菌素(LC_(50)为0.05 mg/L)。本研究首次探索了^(60)Co-γ射线和亚硝基胍复合诱变对须糖多孢菌的影响,并获得了丁烯基多杀菌素对3种农业害虫的防效,为新型生物杀虫剂对农业害虫的防治提供了一些理论依据。

广藿香^(60)Co-γ射线辐射诱变植株的筛选及评价

为应对广藿香药材需求量急速增加、无突出优点的品种且品种单一的情况,解决广藿香道地药材缺失及种质退化、种质来源混乱、易遭受病害虫害等问题,本研究通过辐照诱变育种,设置梯度剂量的^(60)Co-γ射线,对愈伤组织、丛生芽、生根苗3种不同生长阶段的广藿香进行辐照处理,观测再生植株外观形态,筛选出变异植株,测量其农艺性状和生理生化指标,采用气相色谱-质谱联用技术(GC-MS)测定其主要挥发性成分广藿香酮及百秋李醇含量。结果表明:愈伤组织和丛生芽对^(60)Co-γ射线较为敏感,死亡率较高,生根苗对^(60)Co-γ射线较为耐受,死亡率较低,最佳诱变育种的方式是采用100Gy^(60)Co-γ射线辐照处理生根苗,其诱变率高达10%。本研究最终获得29株广藿香变异植株,分别为三叶轮生、异型叶、深裂叶、狭叶、卷叶、下卷叶和紫色叶7种形态类型植株,通过比较分析渗透调节物质(可溶性糖、可溶性蛋白和游离脯氨酸)、抗氧化物质(丙二醛、过氧化物酶、过氧化氢酶)、广藿香酮和百秋李醇含量,最终筛选得到15株具有潜力植株,分别为:抗逆且高有效成分植株SY7和ZY1;对环境敏感且高有效成分植株SY15、SY18和XY1;抗逆植株SY2、SY6、SY19、YY2、YY9和XJY1;高有效成分植株SY10和SY17;“酮型”广藿香植株SY3和JY1。其中SY7和ZY1为双重优良特性新种质,2株“酮型”广藿香植株对于解决道地药材缺失及其种质退化等问题具有应用价值。本研究采用^(60)Co-γ射线辐照诱变方法选育的广藿香变异植株,具有较强抗逆性、高有效成分等优点,为广藿香诱变育种以及新品种选育提供成熟方法和潜在种质。

A method to interpret fracture aperture of rock slope using adaptive shape and unmanned aerial vehicle multi-angle nap-of-the-object photogrammetry

The aperture of natural rock fractures significantly affects the deformation and strength properties of rock masses,as well as the hydrodynamic properties of fractured rock masses.The conventional measurement methods are inadequate for collecting data on high-steep rock slopes in complex mountainous regions.This study establishes a high-resolution three-dimensional model of a rock slope using unmanned aerial vehicle(UAV)multi-angle nap-of-the-object photogrammetry to obtain edge feature points of fractures.Fracture opening morphology is characterized using coordinate projection and transformation.Fracture central axis is determined using vertical measuring lines,allowing for the interpretation of aperture of adaptive fracture shape.The feasibility and reliability of the new method are verified at a construction site of a railway in southeast Tibet,China.The study shows that the fracture aperture has a significant interval effect and size effect.The optimal sampling length for fractures is approximately 0.5e1 m,and the optimal aperture interpretation results can be achieved when the measuring line spacing is 1%of the sampling length.Tensile fractures in the study area generally have larger apertures than shear fractures,and their tendency to increase with slope height is also greater than that of shear fractures.The aperture of tensile fractures is generally positively correlated with their trace length,while the correlation between the aperture of shear fractures and their trace length appears to be weak.Fractures of different orientations exhibit certain differences in their distribution of aperture,but generally follow the forms of normal,log-normal,and gamma distributions.This study provides essential data support for rock and slope stability evaluation,which is of significant practical importance.

^(60)Co-γ射线辐照对利咽含漱液中木犀草苷含量的影响

目的探讨^(60)Co-γ射线辐照对利咽含漱液中木犀草苷含量的影响。方法采用高效液相色谱法,色谱柱为Agilent Zorbax Eclipse XDB-C_(18)柱(250 mm×4.6 mm,5μm),流动相为乙腈-0.1%磷酸水溶液(20∶80,V/V),流速为1.0 mL/min,检测波长为350 nm,柱温为30℃,进样量为10μL。分别以6,10 kGy^(60)Co-γ射线对照品进行辐照,测定其中木犀草苷的含量。结果木犀草苷质量浓度在1.8954~47.3858μg/m L范围内与峰面积线性关系良好(r=0.9997,n=6);检测限和定量限分别为0.2 ng和0.4 ng;精密度、稳定性、重复性试验结果的RSD均小于2.0%;平均加样回收率为100.47%,RSD为2.60%(n=9);样品辐照前(0 kGy)、辐照后(6,10 kGy)木犀草苷平均含量分别为23.8901,16.2693,12.7434μg/mL,RSD分别为2.73%,0.50%,1.36%(n=3)。考虑批间差异、药材差异等的影响,制剂中木犀草苷的含量限度暂定为20μg/mL。结论所建立的方法操作简便,重复性好,专属性强,结果可靠,可用于利咽含漱液的质量评价。利咽含漱液不宜使用^(60)Co-γ射线辐照灭菌。

HPLC法测定利咽含漱液中木犀草苷含量及^(60)Co-γ射线辐照对其含量的影响

建立了一种采用HPLC法测定利咽含漱液中木犀草苷含量的方法,并考察不同剂量^(60)Co-γ射线辐照对其含量的影响.用Agilent ZORBAX Eclipse XDB-C18(4.6×250 mm,5μm)色谱柱,以乙腈-0.1%磷酸(20∶80)为流动相,流速为1.0 mL·min^(-1),柱温为30℃;检测波长为350 nm,进样量为10μL,用外标法计算含量.研究表明,木犀草苷含量测定方法的专属性良好;浓度在1.8954~47.3858μg·mL^(-1)范围内与峰面积呈良好的线性关系,线性方程为Y=31.13X-15.793,相关系数r=0.9997(n=6);平均加样回收率为99.73%(n=6);精密度的RSD值为0.58%(n=6),稳定性的RSD值为1.26%(n=6),重复性的RSD值为0.87%(n=6),耐用性的RSD均小于3%.经^(60)Co-γ射线辐照后利咽含漱液中木犀草苷含量下降,下降幅度与辐照剂量呈正相关.本方法专属性强、准确度高,适用于利咽含漱液中木犀草苷含量测定.利咽含漱液不宜进行^(60)Co-γ射线辐照灭菌.

Hyperspectral Image Based Interpretable Feature Clustering Algorithm

Hyperspectral imagery encompasses spectral and spatial dimensions,reflecting the material properties of objects.Its application proves crucial in search and rescue,concealed target identification,and crop growth analysis.Clustering is an important method of hyperspectral analysis.The vast data volume of hyperspectral imagery,coupled with redundant information,poses significant challenges in swiftly and accurately extracting features for subsequent analysis.The current hyperspectral feature clustering methods,which are mostly studied from space or spectrum,do not have strong interpretability,resulting in poor comprehensibility of the algorithm.So,this research introduces a feature clustering algorithm for hyperspectral imagery from an interpretability perspective.It commences with a simulated perception process,proposing an interpretable band selection algorithm to reduce data dimensions.Following this,amulti-dimensional clustering algorithm,rooted in fuzzy and kernel clustering,is developed to highlight intra-class similarities and inter-class differences.An optimized P systemis then introduced to enhance computational efficiency.This system coordinates all cells within a mapping space to compute optimal cluster centers,facilitating parallel computation.This approach diminishes sensitivity to initial cluster centers and augments global search capabilities,thus preventing entrapment in local minima and enhancing clustering performance.Experiments conducted on 300 datasets,comprising both real and simulated data.The results show that the average accuracy(ACC)of the proposed algorithm is 0.86 and the combination measure(CM)is 0.81.

THAPE: A Tunable Hybrid Associative Predictive Engine Approach for Enhancing Rule Interpretability in Association Rule Learning for the Retail Sector

Association rule learning(ARL)is a widely used technique for discovering relationships within datasets.However,it often generates excessive irrelevant or ambiguous rules.Therefore,post-processing is crucial not only for removing irrelevant or redundant rules but also for uncovering hidden associations that impact other factors.Recently,several post-processing methods have been proposed,each with its own strengths and weaknesses.In this paper,we propose THAPE(Tunable Hybrid Associative Predictive Engine),which combines descriptive and predictive techniques.By leveraging both techniques,our aim is to enhance the quality of analyzing generated rules.This includes removing irrelevant or redundant rules,uncovering interesting and useful rules,exploring hidden association rules that may affect other factors,and providing backtracking ability for a given product.The proposed approach offers a tailored method that suits specific goals for retailers,enabling them to gain a better understanding of customer behavior based on factual transactions in the target market.We applied THAPE to a real dataset as a case study in this paper to demonstrate its effectiveness.Through this application,we successfully mined a concise set of highly interesting and useful association rules.Out of the 11,265 rules generated,we identified 125 rules that are particularly relevant to the business context.These identified rules significantly improve the interpretability and usefulness of association rules for decision-making purposes.

Intelligent geochemical interpretation of mass chromatograms:Based on convolution neural network

Gas chromatography-mass spectrometry(GC-MS)is an extremely important analytical technique that is widely used in organic geochemistry.It is the only approach to capture biomarker features of organic matter and provides the key evidence for oil-source correlation and thermal maturity determination.However,the conventional way of processing and interpreting the mass chromatogram is both timeconsuming and labor-intensive,which increases the research cost and restrains extensive applications of this method.To overcome this limitation,a correlation model is developed based on the convolution neural network(CNN)to link the mass chromatogram and biomarker features of samples from the Triassic Yanchang Formation,Ordos Basin,China.In this way,the mass chromatogram can be automatically interpreted.This research first performs dimensionality reduction for 15 biomarker parameters via the factor analysis and then quantifies the biomarker features using two indexes(i.e.MI and PMI)that represent the organic matter thermal maturity and parent material type,respectively.Subsequently,training,interpretation,and validation are performed multiple times using different CNN models to optimize the model structure and hyper-parameter setting,with the mass chromatogram used as the input and the obtained MI and PMI values for supervision(label).The optimized model presents high accuracy in automatically interpreting the mass chromatogram,with R2values typically above 0.85 and0.80 for the thermal maturity and parent material interpretation results,respectively.The significance of this research is twofold:(i)developing an efficient technique for geochemical research;(ii)more importantly,demonstrating the potential of artificial intelligence in organic geochemistry and providing vital references for future related studies.

国内重楼生物活性以及^(60)Co-γ辐照灭菌对中药材和制剂药用成分影响的研究进展

重楼是具有抗肿瘤、抗炎、抗氧化及止血镇痛等良好药用价值的多年生草本植物。^(60)Co-γ辐照处理技术具有穿透能力强、灭菌效果好、产品成本低、可规模化制备、实用性高等优点,目前已被广泛运用于中药材灭菌中,但不同辐照剂量会对中药材和制剂的药用成分造成不同程度的影响。通过介绍国内学者关于重楼生物活性及其药理作用的研究,对^(60)Co-γ在重楼灭菌中的影响进行了分析讨论及展望,为重楼使用价值及^(60)Co-γ辐照在重楼灭菌技术的进一步研究提供参考。

Computation Tree Logic Model Checking of Multi-Agent Systems Based on Fuzzy Epistemic Interpreted Systems

Model checking is an automated formal verification method to verify whether epistemic multi-agent systems adhere to property specifications.Although there is an extensive literature on qualitative properties such as safety and liveness,there is still a lack of quantitative and uncertain property verifications for these systems.In uncertain environments,agents must make judicious decisions based on subjective epistemic.To verify epistemic and measurable properties in multi-agent systems,this paper extends fuzzy computation tree logic by introducing epistemic modalities and proposing a new Fuzzy Computation Tree Logic of Knowledge(FCTLK).We represent fuzzy multi-agent systems as distributed knowledge bases with fuzzy epistemic interpreted systems.In addition,we provide a transformation algorithm from fuzzy epistemic interpreted systems to fuzzy Kripke structures,as well as transformation rules from FCTLK formulas to Fuzzy Computation Tree Logic(FCTL)formulas.Accordingly,we transform the FCTLK model checking problem into the FCTL model checking.This enables the verification of FCTLK formulas by using the fuzzy model checking algorithm of FCTL without additional computational overheads.Finally,we present correctness proofs and complexity analyses of the proposed algorithms.Additionally,we further illustrate the practical application of our approach through an example of a train control system.

Identification and distribution of 13003 landslides in the northwest margin of Qinghai-Tibet Plateau based on human-computer interaction remote sensing interpretation

The periphery of the Qinghai-Tibet Plateau is renowned for its susceptibility to landslides.However,the northwestern margin of this region,characterised by limited human activities and challenging transportation,remains insufficiently explored concerning landslide occurrence and dispersion.With the planning and construction of the Xinjiang-Tibet Railway,a comprehensive investigation into disastrous landslides in this area is essential for effective disaster preparedness and mitigation strategies.By using the human-computer interaction interpretation approach,the authors established a landslide database encompassing 13003 landslides,collectively spanning an area of 3351.24 km^(2)(36°N-40°N,73°E-78°E).The database incorporates diverse topographical and environmental parameters,including regional elevation,slope angle,slope aspect,distance to faults,distance to roads,distance to rivers,annual precipitation,and stratum.The statistical characteristics of number and area of landslides,landslide number density(LND),and landslide area percentage(LAP)are analyzed.The authors found that a predominant concentration of landslide origins within high slope angle regions,with the highest incidence observed in intervals characterised by average slopes of 20°to 30°,maximum slope angle above 80°,along with orientations towards the north(N),northeast(NE),and southwest(SW).Additionally,elevations above 4.5 km,distance to rivers below 1 km,rainfall between 20-30 mm and 30-40 mm emerge as particularly susceptible to landslide development.The study area’s geological composition primarily comprises Mesozoic and Upper Paleozoic outcrops.Both fault and human engineering activities have different degrees of influence on landslide development.Furthermore,the significance of the landslide database,the relationship between landslide distribution and environmental factors,and the geometric and morphological characteristics of landslides are discussed.The landslide H/L ratios in the study area are mainly concentrated between 0.4 and 0.64.It means the landslides mobility in the region is relatively low,and the authors speculate that landslides in this region more possibly triggered by earthquakes or located in meizoseismal area.

The impact of^(60)Co-γirradiation on the chemical constituents of Chuanxiong Rhizoma

Background:In order to clarify the inmpat ofγirradiation on the chemical composition of traditional Chinese medicine,this paper carefully choosed Chuanxiong Rhizoma to carry on a demonstration study.Methods:Through a meticulous assessment,a comprehensive comparison was made between the irradiated and unirradiated Chuanxiong Rhizoma samples.The property characteristics were investigated by colorimeter and electronic nose.The changes in chemical structures and contents was analyzed by fourier infrared spectroscopy,high performance liquid chromatography and fingerprinting.In a quest to uncover the presence of any new radiolysis products,cutting-edge techniques like ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry and gas chromatography-mass spectrometry were employed.Moreover,the difference of antioxidant activity were investigated.Results:The irradiation doses within 12 kGy had no significant effects on the content of the main chemical components,characteristics and in vitro antioxidant activity of Chuanxiong Rhizoma,while changes in some functional groups and degradation of some volatile oil components containing olefins need further study.Conclusion:This study indicates that^(60)Co-γirradiation is a stable method for sterilization of Chuanxiong Rhizoma.It’s also provide a reference for the establishment of irradiation standards for Chuanxiong Rhizoma and other aromatic medicinal plants.