Mesopause temperatures and relative densities at midlatitudes observed by the Mengcheng meteor radar

The atmospheric temperatures and densities in the mesosphere and lower thermosphere(MLT)region are essential for studying the dynamics and climate of the middle and upper atmosphere.In this study,we present more than 9 years of mesopause temperatures and relative densities estimated by using ambipolar diffusion coefficient measurements observed by the Mengcheng meteor radar(33.4°N,116.5°E).The intercomparison between the meteor radar and Thermosphere Ionosphere Mesosphere Energetics and Dynamics/Sounding of the Atmosphere by Broadband Emission Radiometry(TIMED/SABER)and Earth Observing System(EOS)Aura/Microwave Limb Sounder(MLS)observations indicates that the meteor radar temperatures and densities agree well with the simultaneous satellite measurements.Annual variations dominate the mesopause temperatures,with the maximum during winter and the minimum during summer.The mesopause relative densities also show annual variations,with strong maxima near the spring equinox and weak maxima before the winter solstice,and with a minimum during summer.In addition,the mesopause density exhibits a structure similar to that of the zonal wind:as the zonal wind flows eastward(westward),the mesopause density decreases(increases).At the same time,the meridional wind shows a structure similar to that of the mesopause temperature:as the meridional wind shows northward(southward)enhancements,the mesopause temperature increases(decreases).Simultaneous horizontal wind,temperature,and density observations provide multiple mesospheric parameters for investigating mesospheric dynamics and thermodynamic processes and have the potential to improve widely used empirical atmospheric models.

Adaptive Density-Based Spatial Clustering of Applications with Noise(ADBSCAN)for Clusters of Different Densities

Finding clusters based on density represents a significant class of clustering algorithms.These methods can discover clusters of various shapes and sizes.The most studied algorithm in this class is theDensity-Based Spatial Clustering of Applications with Noise(DBSCAN).It identifies clusters by grouping the densely connected objects into one group and discarding the noise objects.It requires two input parameters:epsilon(fixed neighborhood radius)and MinPts(the lowest number of objects in epsilon).However,it can’t handle clusters of various densities since it uses a global value for epsilon.This article proposes an adaptation of the DBSCAN method so it can discover clusters of varied densities besides reducing the required number of input parameters to only one.Only user input in the proposed method is the MinPts.Epsilon on the other hand,is computed automatically based on statistical information of the dataset.The proposed method finds the core distance for each object in the dataset,takes the average of these distances as the first value of epsilon,and finds the clusters satisfying this density level.The remaining unclustered objects will be clustered using a new value of epsilon that equals the average core distances of unclustered objects.This process continues until all objects have been clustered or the remaining unclustered objects are less than 0.006 of the dataset’s size.The proposed method requires MinPts only as an input parameter because epsilon is computed from data.Benchmark datasets were used to evaluate the effectiveness of the proposed method that produced promising results.Practical experiments demonstrate that the outstanding ability of the proposed method to detect clusters of different densities even if there is no separation between them.The accuracy of the method ranges from 92%to 100%for the experimented datasets.

Calculation of microscopic nuclear level densities based on covariant density functional theory

In this study,a microscopic method for calculating the nuclear level density(NLD)based on the covariant density functional theory(CDFT)is developed.The particle-hole state density is calculated by a combinatorial method using single-particle level schemes obtained from the CDFT,and the level densities are then obtained by considering collective effects such as vibration and rotation.Our results are compared with those of other NLD models,including phenomenological,microstatisti-cal and nonrelativistic Hartree–Fock–Bogoliubov combinatorial models.This comparison suggests that the general trends among these models are essentially the same,except for some deviations among the different NLD models.In addition,the NLDs obtained using the CDFT combinatorial method with normalization are compared with experimental data,including the observed cumulative number of levels at low excitation energies and the measured NLDs.The CDFT combinatorial method yields results that are in reasonable agreement with the existing experimental data.

Effects of paclobutrazol application on plant architecture,lodging resistance,photosynthetic characteristics,and peanut yield at different single-seed precise sowing densities

The key to high-yielding peanut cultivation is the optimization of agricultural production practices.Regulating single-seed precise sowing(SSPS)density and paclobutrazol(Pbz)application concentration are effective practices that increase peanut yield by improving plant architecture,lodging resistance,and photosynthetic characteristics.Therefore,we conducted a two-factor field optimization experiment for the sowing density(D1:1.95×10^(5)plants ha^(-1),D52:2.40×10plants ha^(-1),D3:2.85×10^(5)plants ha^(-1),and D4:3.30×10^(5)plants ha^(-1))and Pbzapplication concentration(P0:0 mg L^(-1)and P1:100 mg L^(-1)).The objective was to optimize agricultural production practices and provide a theoretical basis for highyielding peanut cultivation by evaluating the effects of sowing density and Pbzapplication on plant architecture,lodging resistance,photosynthetic characteristics,and yield.The results showed that at the same Pbzapplication concentration,increasing sowing density increased lodging percentage and reduced leaf photosynthetic capacity.At the same sowing density,Pbzapplication reduced lodging percentage by decreasing plant height(PH),improving lignin biosynthesis-related enzyme activities,and enhancing stem puncture strength(SPS)and breaking strength(SBS).The paclobutrazol-induced alterations in plant architecture and lodging resistance improved light transmission at the middle and bottom leaf strata,resulting in the increase in relative chlorophyll content and net photosynthetic rate(Pn)of leaves.Furthermore,D3P1treatment had the highest peanut yield among all treatments.In summary,the production strategy combining the sowing density of 2.85×10^(5)plants ha^(-1)with the application of100 mg L^(-1)Pbzwas found to be the optimal agricultural production practice for giving full play to production potential and achieving higher peanut yield.

Noble-Metal-Free Oxygen Evolution Reaction Electrocatalysts Working at High Current Densities over 1000 mA cm^(-2):From Fundamental Understanding to Design Principles

Alkaline water electrolysis provides a promising route for"green hydrogen"generation,where anodic oxygen evolution reaction(OER)plays a crucial role in coupling with cathodic hydrogen evolution reaction.To date,the development of highly active and durable OER catalysts based on earth-abundant elements has drawn wide attention;nevertheless,their performance under high current densities(HCDs≥1000 mA cm^(-2))has been less emphasized.This situation has seriously impeded large-scale electrolysis industrialization.In this review,in order to provide a guideline for designing high-performance OER electrocatalysts,the effects of HCD on catalytic performance involving electron transfer,mass transfer,and physical/chemical stability are summarized.Furthermore,the design principles were pointed out for obtaining efficient and robust OER electrocatalysts in light of recent progress of OER electrocatalysts working above 1000 mA cm^(-2).These include the aspects of developing self-supported catalytic electrodes,enhancing intrinsic activity,enhancing the catalyst-support interaction,engineering surface wettability,and introducing protective layer.Finally,summaries and outlooks in achieving OER at industrially relevant HCDs are proposed.

Peripapillary and macular vascular densities in healthy,ocular hypertensive,and different stages of glaucomatous eyes

AIM:To investigate vascular changes in different stages of glaucoma and to evaluate the role of optical coherence tomography angiography(OCTA)in the early diagnosis of glaucoma.METHODS:Glaucoma patients and healthy controls(n=29 eyes)were investigated in this cross-sectional comparative study.Glaucoma patients were grouped as ocular hypertension(n=44 eyes),preperimetric glaucoma(PPG;n=32 eyes),early glaucoma(EG;n=35 eyes),moderate stage glaucoma(MG;n=36 eyes),and advanced glaucoma(AG;n=35 eyes).Peripapillary and macular vascular densities(VDs)of all participants were compared and correlations of VDs and retinal nerve fiber layer thickness(RNFLT),ganglion cell analysis(GCA),and visual field(VF)tests were evaluated.Area under the receiver operation characteristic curves(AUC)of the peripapillary and macular VD parameters were obtained.RESULTS:VD values decreased with the progression of glaucoma.Most peripapillary and macular VD parameters of PPG and EG groups were lower than healthy controls(P<0.001).There was no significant difference in RNFLT between the PPG and EG groups,but most peripapillary and macular VDs were found to be lower in EG group than in PPG group(P<0.05).In most disease group,VDs were significantly correlated with OCT parameters(P<0.001)and VF index(P<0.05).There were no significant correlations between VF and RNFLT indices in the AG group,but significant correlations were found between VF and VD values(P<0.05).AUC for discriminating between healthy and glaucomatous eyes were highest in whole image peripapillary VD(AUC:0.865,0.929,and 0.986,respectively in EG,MG,and AG groups).CONCLUSION:OCTA can be used in the early diagnosis of glaucoma and can be useful in follow-up of the advanced disease.In cases where limitations or suspicions in structural and functional tests are present,OCTA can be used as a supportive diagnostic test,both in EG and AG.

Short-Term Stress Response of Juvenile Rainbow Trout Subjected to Two Different Rearing Densities

Juvenile rainbow trout Oncorhynchus mykiss were subjected to one of four treatments in a two-by-two experimental design: 1) fed at a density of 1.8 g/m3, 2) Fasted at 1.8 g/m3, 3) fed at 30.1 g/m3, and 4) fasted at 30.1 g/m3. Blood glucose and hematocrit were measured at 4, 6, 48, 168, and 336 hours after placement in one of the two rearing densities, with relative fin lengths and organosomatic indices recorded at 336 hours. Glucose levels over time were not significantly different among the density and feeding treatments. Hematocrit levels over time were also not significantly different. Total lengths, weight, hepatosomatic index, viscerosomatic index, and any of the relative fin lengths were not significantly different between the high and low densities. However, the hepatosomatic index was significantly greater in the fed fish compared to those fasted. The splenosomatic index was significantly greater in the higher density treatment. These results likely indicate no short-term stress response to the higher rearing density used in this short-term experiment and no interaction between starvation and density-related stressors.

青贮压实的影响因素与技术策略

青贮压实是青贮生产中的关键一环。通过影响青贮饲料中固液气三相比例,直接影响青贮饲料的最终质量。充分压实不仅有利于乳酸菌发酵的快速启动,减少原料储存空间,也为后续青贮饲喂面管理奠定基础。本文简述了青贮压实的原理及压实程度(青贮密度)的评价方法;概述了决定青贮密度的影响因素,包括贮存设施、作物特征和压实机械等3个层面;总结了当前提高青贮密度的技术策略,以期为生产中青贮压实的有效实施提供技术参考;并展望了青贮压实技术未来的发展方向。

脂肪酸捕收剂分子结构与性能的密度泛函理论研究

这是一篇矿物加工工程领域的论文。脂肪酸类捕收剂广泛应用于浮选氧化矿,其分子结构是影响浮选性能的重要因素,为了从微观角度揭示脂肪酸捕收剂结构变化对其反应活性的影响,采用密度泛函理论研究了脂肪酸电子结构与性能的关系。研究结果表明:油酸分子和油酸根离子中氧原子有很强的反应活性,氧原子是油酸与氧化矿物表面作用的键合原子;油酸根离子的两个氧原子具有相近的化学活性,且在费米能级处的态密度大于油酸分子,使得油酸根离子的活性明显强于油酸分子;碳链长度和烃基不饱和度几乎不影响脂肪酸中氧原子的态密度,其对脂肪酸性能的影响不是通过羧基作用的;脂肪酸与常见金属阳离子的相互作用能与其溶度积常数降低的规律一致,两者存在较好的对应关系;研究对了解脂肪酸捕收剂结构与性能的关系及开发新型脂肪酸类捕收剂有一定的理论意义和参考价值。

滇中地区不同种植密度青贮玉米的主要农艺性状、产量和质量变化

为了探讨不同种植密度对青贮玉米的农艺性状、产量和质量的影响,在滇中地区以推广较多的曲晨9号为供试材料,开展6株/m^(2)(低密度)、9株/m^(2)(中等密度)和12株/m^(2)(高密度)三个种植密度的试验研究。结果表明:高密度种植青贮玉米的群体干物质产量比低密度的提高12.3%,并且高密度种植模式中的单株节数、叶片数和枯叶数也比低密度处理的单株分别增加9.98%(P<0.05)、2.78%(P>0.05)和126.92%(P<0.01),但是高密度种植模式中单株的株高、基部茎宽、穗叶面积和不同位叶的干重比低密度的处理分别降低15.12%(P>0.05)、38.80%(P<0.01)、16.38%(P<0.05)和26.88%~38.79%(P<0.05)。在营养成分方面:高密度种植青贮玉米的粗蛋白、中性洗涤纤维、酸性洗涤纤维和酸性木质素分别比低密度种植的青贮玉米低了1.7%、21.51%、22.14%和56.79%。表明增加种植密度可有效地增加单位面积青贮玉米群体的干物质产量,增加单株的叶片数和节数,但是降低单株的株高、穗叶面积、不同位叶干重和基部茎宽,并有效地降低中性洗涤纤维、酸性洗涤纤维和酸性木质素的含量。建议在种植青贮玉米时一定在关注单株农艺性状的变化和群体养分含量变化同时,通过合理密植获得单位面积的高产和优质的青贮玉米,同时避免植株倒伏等因素引起的减产。

老年女性髋部脆性骨折患者骨转换特征及其与血清高密度脂蛋白胆固醇的相关性

目的探讨骨转换与老年女性髋部脆性骨折(fragile hip fracture,HF)风险及与高密度脂蛋白胆固醇(HDLc)的相关性。方法选取2021年1月至2022年12月年龄≥60岁女性住院骨质疏松症患者共661例,分为无骨折组(A组)266例和HF组(B组)395例。检测总胆固醇(Tch)、甘油三酯(TG)、HDLc、低密度脂蛋白胆固醇(LDLc)、骨钙素N段中分子片段(N-MID OC)、Ⅰ型胶原羧基端肽β特殊序列(β-CTX)、总蛋白(TP)、白蛋白(Alb)、钙(Ca)、磷(P)、镁(Mg)、尿素(Urea)、肌酐(Cr)、胱抑素C(Cys-C)、肾小球滤过率(eGFR)、骨形成率(MoMF)、骨吸收率(MoMR)及骨转化率(MoT)。结果(1)HF组TP[118(108,128)vs 124(114,131)]、Alb[38.4±3.7 vs 40.0±4.3]、HDLc[1.51(1.24,1.71)vs 1.54(1.37,1.73)]、Ca[2.21±0.12 vs 2.29±0.12]、P[1.03±0.16 vs 1.08±0.17]含量较无骨折组降低,年龄[76(68,83)vs 73(67,78)]、β-CTX[0.57(0.40,0.77)vs 0.34(0.19,0.56)]、MoMR[1.84(1.30,2.51)vs 1.09(0.61,1.83)]及MoT[2.16(1.56,2.85)vs 1.56(1.09,2.38)]较无骨折组增加,差异有统计学意义(P<0.05)。N-MID OC、MoMF、Urea、Cr、Cys-C、eGFR、Tch、TG、LDLc及Mg差异无统计学意义(P>0.05)。(2)老年女性HF与HDLc、TP、ALB、Ca、P、Mg呈负相关(r=-0.09、-0.26、-0.16、-0.28、-0.12、-0.03,P<0.05),与年龄、β-CTX、MoMR、MoT呈正相关(r=0.17、0.36、0.36、0.26,P<0.05),与N-MID OC、MoMF、Urea、Cr、Cys-C、eGFR、Tch、TG、LDLc无相关性(P>0.05)。(3)年龄、MoT、TP、Ca、P为老年女性HF的风险因素,OR分别为1.03(95%CI:1.01~1.06)、1.75(95%CI:1.44~2.12)、0.96(95%CI:0.92~0.99)、0.06(95%CI:0.01~0.37)、0.18(95%CI:0.06~0.6),P<0.05。(4)HDLc与骨转化间存在“U”型关系,P<0.01,其切点为1.692 mmol/L。结论高骨转换是老年女性HF的危险因素,其骨转化率与HDLc存在U型相关。

LDPE/MLLDPE共混改性及发泡性能

以低密度聚乙烯(LDPE)为基体树脂、4,4'-氧代双苯磺酰肼(OBSH)为发泡剂、茂金属线性低密度聚乙烯(MLLDPE)为改性剂,采用化学发泡法和辐照交联技术制备一系列LDPE/MLLDPE发泡材料。研究不同MLLDPE含量对LDPE/MLLDPE复合材料的熔体流动速率、热性能、发泡行为及力学性能的影响。结果表明,MLLDPE能提高LDPE/MLLDPE复合体系的结晶度,降低其熔体流动速率。随着MLLDPE含量的增加,LDPE/MLLDPE复合发泡材料的拉伸强度、撕裂强度和压缩永久变形呈现先上升后下降的趋势,而断裂伸长率、回弹率逐渐提高。当MLLDPE含量为15份时,LDPE/MLLDPE复合发泡材料的表观密度、拉伸强度、撕裂强度和压缩永久变形量分别提高了6.8%、24.4%、11.4%和24.2%。当辐照剂量为80 kGy、LDPE∶MLLDPE=85∶15时,LDPE/MLLDPE复合发泡材料的力学性能和泡孔结构更佳,满足胶带型片材的综合性能要求。

笼养密度对公母分饲黄羽肉鸡生长性能、免疫器官发育、抗氧化能力、肠道组织形态及免疫相关基因mRNA表达的影响

本试验旨在探讨笼养密度对公母分饲黄羽肉鸡生长性能、免疫器官发育、抗氧化能力、肠道组织形态及免疫相关基因mRNA表达的影响。选用21日龄黄脚麻鸡720只,3层层叠式笼内饲喂,鸡笼规格为长×宽×高=1.2 m×0.8 m×0.4 m,公鸡和母鸡分开饲养,均随机分为4组(每组5个重复),笼养密度分别为15(低密度组)、17(中密度组)、19(中高密度组)和21只/m 2(高密度组)。试验期42 d。结果表明:1)对于公鸡,21~42日龄时,高密度组平均日采食量显著低于低密度组和中密度组(P<0.05);43~63日龄时,中高密度组和高密度组平均日采食量显著低于低密度组和中密度组(P<0.05),中高密度组和高密度组平均日增重显著低于低密度组(P<0.05)。对于母鸡,21~42日龄时,中高密度组和高密度组平均日采食量显著低于低密度组(P<0.05),高密度组平均日增重显著低于低密度组(P<0.05);43~63日龄时,高密度组平均日采食量显著低于低密度组和中密度组(P<0.05),中高密度组平均日增重显著低于低密度组(P<0.05)。2)对于公鸡,低密度组肝脏重量显著低于其他各组(P<0.05),肝脏指数显著低于高密度组(P<0.05)。3)对于母鸡,中密度组血清超氧化物歧化酶活性显著高于高密度组(P<0.05),中高密度组血清丙二醛含量显著高于高密度组(P<0.05)。4)对于公鸡,中密度组空肠绒毛高度/隐窝深度显著高于高密度组(P<0.05)。对于母鸡,高密度组十二指肠隐窝深度显著高于中高密度组(P<0.05),中高密度组十二指肠绒毛高度/隐窝深度显著高于高密度组(P<0.05);高密度组空肠绒毛高度显著低于中密度组和中高密度组(P<0.05),高密度组空肠绒毛高度/隐窝深度显著低于低密度组(P<0.05);高密度组回肠隐窝深度显著高于其他各组(P<0.05)。5)对于公鸡,中高密度组空肠肿瘤坏死因子-α(TNF-α)mRNA相对表达量显著高于其他各组(P<0.05)。对于母鸡,中高密度组空肠核因子E2相关因子2(Nrf2)和Toll样受体4(TLR4)mRNA相对表达量显著高于低密度组(P<0.05)。由此可见,高笼养密度会对黄羽肉鸡生长性能、抗氧化能力、肠道组织形态等相关指标产生影响;笼养密度可能通过影响肠道抗氧化和免疫相关基因表达影响黄羽肉鸡肠道免疫功能。

脊柱退变住院患者血清尿酸/高密度脂蛋白比值与骨密度的相关性

目的探索脊柱退变住院患者血清尿酸/高密度脂蛋白比值与骨密度的相关性。方法共纳入803例脊柱退变的受试者,评估临床因素及实验室检查结果,测量骨密度,按照骨密度结果分为骨质疏松症组及非骨质疏松症组。采用多元Logistic回归分析血清尿酸/高密度脂蛋白比值(uric acid to high-density lipoprotein cholesterol ratio,UHR)与骨质疏松症的相关性。结果与非骨质疏松症组相比,骨质疏松症组的UHR更低(244.93±.102.51 vs 199.97±.91.96,P<0.001),多元Logistics回归分析提示,在校正了骨质疏松症的传统危险因素后,UHR最高的四分位患者发生骨质疏松症的可能性是UHR最低的四分位患者的0.402倍(P=0.018)。骨质疏松症的患病率在UHR四分位呈下降的趋势,骨密度在UHR四分位呈升高的趋势。UHR在骨量正常、骨量减少及骨质疏松症3组呈下降的趋势。结论低UHR是昆山地区脊柱退变住院患者发生骨质疏松症的危险因素。对于UHR较低的脊柱退变患者,应注意筛查骨质疏松症。

血清小而密低密度脂蛋白胆固醇和总抗氧化能力水平与脑梗死患者认知功能障碍的相关性分析

目的:探究脑梗死患者血清小而密低密度脂蛋白胆固醇(small dense low-density lipoprotein cholesterol, sdLDL-C)和总抗氧化能力(total antioxidant capacity, T-AOC)水平变化及其与认知功能障碍发生的关系。方法:选择148例脑梗死患者,依据发病后7 d是否出现认知功能障碍,分为非障碍组(n=77)和障碍组(n=71);分别采用过氧化氢酶法和比色法测定两组血清sdLDL-C和T-AOC水平,并进行比较;Pearson相关系数法分析脑梗死患者血清sdLDL-C、T-AOC水平与蒙特利尔认知评估(MoCA)评分相关性;二元Logistic回归分析影响脑梗死患者认知功能障碍发生的危险因素。结果:与非障碍组相比,障碍组血清sdLDL-C水平明显升高(P<0.05),T-AOC水平明显降低(P<0.05)。相关性分析显示,血清sdLDL-C水平与MoCA评分呈负相关(r=-0.516,P<0.05),T-AOC水平与MoCA评分呈正相关(r=0.446,P<0.05)。Logistic回归分析显示,高血压、糖尿病、病情严重程度、血清sdLDL-C和T-AOC是脑梗死患者认知功能障碍发生的独立影响因素(P<0.05)。结论:脑梗死患者血清sdLDL-C水平升高,T-AOC水平降低,二者是影响脑梗死患者并发认知功能障碍的独立影响因素。

木材气干密度与基本密度关系模型比较

木材密度包括基本密度、气干密度等,在12%含水率条件下的气干密度(D12)较常用,因此有必要将木材气干密度换算为基本密度(Db)。目前利用木材气干密度计算基本密度的模型有Reyes、Chave、Simpson和Vieilledent模型等,然而这些模型预测结果不完全一致。利用中国林业科学研究院木材工业研究所(Research Institute of Wood Industry,Chinese Academy of Forestry,CRIWI)和法国农业国际合作研究发展中心(French Agricultural Research Centre for International Development,CIRAD)的木材D12和Db数据,首先基于CRIWI的木材密度数据建立D12与Db的关系模型,然后将CRIWI和CIRAD的D12数据分别代入Reyes模型、Chave模型、Simpson模型、Vieilledent模型和新建模型,获得每个树种木材Db的预测值,并根据Db预测值和实测值计算残差绝对值均值。不同模型残差绝对值均值比较结果表明:Reyes模型在利用CRIWI和CIRAD的木材密度数据时预测Db的准确性都比较高,适用性最广;Simpson模型、新建模型在D12高于1.0 g/cm3时预测Db的准确性降低。

基于网络分析的水网可达性评估

【目的】为探究水资源可达性的空间格局,促进优化水资源配置,科学规划水系布局,【方法】提出一种基于网络特性和取水成本的水网可达性计算方法。运用网络分析工具sDNA计算网络可达性指标,以CRITIC法计算网络分析指标权重,加权求和得到水网网络可达性,然后通过核密度估计进行空间拓展;综合考虑地形、土地利用、道路因素,制作研究区的成本阻力栅格数据,水网网络可达性减去累计成本阻力,以此评估水网的可达性。【结果】研究区的平均可达性为0.31,标准差为0.04,变异系数为0.13。当河网是偏自然状态水系时,可达性呈现出树枝状分布,从主河道到支流逐渐减弱,且随着远离河道而减弱。在地形较为平坦、人类活动频繁、人工渠道发达的区域,一些江河交汇处将出现水网可达性较高的密集区域,例如汉江中游、长江中游、太湖流域、里下河流域、黄淮海平原、渭河平原。【结论】结果表明,从网络分析的角度出发,将水网视为一个拓扑网络来计算水网的可达性,实现了在大尺度区域的应用。同时考虑了取水成本和阻力对局部可达性的影响,从而增加了可达性结果的准确性,为实现精细化的水资源管理提供了重要的依据。

种植技术和种植密度对吉花2号主要农艺性状和产量的影响

研究不同种植技术和种植密度对吉林省多粒型花生吉花2号主要农艺性状和产量的影响,筛选适宜吉林省生态环境的种植技术和最佳种植密度,完善吉花2号配套高效栽培技术。采用2种种植技术及5个种植密度(1.79×10^(5)、2.02×10^(5)、2.30×10^(5)、2.69×10^(5)、3.23×10^(5)株/hm^(2)),研究特定时期花生光合指标及产量变化。结果显示,吉花2号采用小垄双行种植技术、种植密度为2.02×10^(5)株/hm^(2)时生育期最短,较双粒穴播种植技术生育期提前1~2 d;植株的株高最小,有利于地下部干物质积累;叶面积系数最大,总光合势最大;产量最高(3651.15 kg/hm^(2)),较双粒穴播种植技术增产10.17%。小垄双行种植技术在不同密度下,吉花2号产量都高于双粒穴播种植技术。因此,小垄双行种植技术在生产上应大力推广。

面向密度分布不均数据的加权逆近邻密度峰值聚类算法

针对密度分布不均数据,密度峰值聚类算法易忽略类簇间样本的疏密差异,导致误选类簇中心;分配策略易将稀疏区域的样本误分到密集区域,导致聚类效果不佳的问题,本文提出一种面向密度分布不均数据的加权逆近邻密度峰值聚类算法。该算法首先在局部密度公式中引入基于sigmoid函数的权重系数,增加稀疏区域样本的权重,结合逆近邻思想,重新定义了样本的局部密度,有效提升类簇中心的识别率;其次,引入改进的样本相似度策略,利用样本间的逆近邻及共享逆近邻信息,使得同一类簇样本间具有较高的相似度,可有效改善稀疏区域样本分配错误的问题。在密度分布不均、复杂形态和UCI数据集上的对比实验表明,本文算法的聚类效果优于IDPC-FA、FNDPC、FKNN-DPC、DPC和DPCSA算法。

聚乙烯共混体系流变行为对吹塑薄膜雾度的影响

研究了线型低密度聚乙烯(LLDPE)/低密度聚乙烯(LDPE)共混体系的吹塑薄膜雾度与流变行为之间的关系。利用DSC、光散射和WLI等方法对吹塑薄膜制品的内部结晶情况及表面形貌进行表征,利用GPC和流变学方法对单组分及共混物熔体的结构进行表征。实验结果表明,LLDPE/LDPE共混体系吹塑薄膜的总雾度主要取决于薄膜的表面粗糙度;薄膜的表面粗糙度与可恢复剪切应变参数(γ_(∞))呈开口向上抛物线函数关系,选择具有合适γ_(∞)的LDPE树脂以及添加量是控制LLDPE/LDPE共混体系吹塑薄膜雾度的关键。