新的多位self-shrinking序列的构造

给出了一种多位自收缩序列,并解决了多位自收缩序列的周期下界,线性复杂度,最后构造了新的多位self-shrinking序列模型.

新多位self-shrinking序列的构造与特性

在多位self-shrinking序列的基础上构造了一种新的多位self-shrinking序列的模型,该模型与原多位self-shrinking序列具有相同的周期下界,且具有更好线性复杂度。

Understanding the Relationship Between Shrinking Cities and Land Prices:Spatial Pattern,Effectiveness,and Policy Implications

Urban shrinkage has emerged as a widespread phenomenon globally and has a significant impact on land,particularly in terms of land use and price.This study focuses on 2851 county-level cities in China in 2005–2018(excluding Hong Kong,Macao,Taiwan,and‘no data’areas in Qinhai-Tibet Plateau)as the fundamental units of analysis.By employing nighttime light(NTL)data to identify shrinking cities,the propensity score matching(PSM)model was used to quantitatively examine the impact of shrinking cities on land prices,and evaluate the magnitude of this influence.The findings demonstrate the following:1)there were 613 shrinking cities in China,with moderate shrinkage being the most prevalent and severe shrinkage being the least.2)Regional disparities are evident in the spatial distribution of shrinking cities,especially in areas with diverse terrain.3)The spatial pattern of land price exhibits a significant correlated to the economic and administrative levels.4)Shrinking cities significantly negatively impact on the overall land price(ATT=–0.1241,P<0.05).However,the extent of the effect varies significantly among different spatial regions.This study contributes novel insights into the investigation of land prices and shrinking cities,ultimately serving as a foundation for government efforts to promote the sustainable development of urban areas.

Exact solutions for magnetohydrodynamic nanofluids flow and heat transfer over a permeable axisymmetric radially stretching/shrinking sheet

We report on the magnetohydrodynamic impact on the axisymmetric flow of Al_(2)O_(3)/Cu nanoparticles suspended in H_(2)O past a stretched/shrinked sheet.With the use of partial differential equations and the corresponding thermophysical characteristics of nanoparticles,the physical flow process is illustrated.The resultant nonlinear system of partial differential equations is converted into a system of ordinary differential equations using the suitable similarity transformations.The transformed differential equations are solved analytically.Impacts of the magnetic parameter,solid volume fraction and stretching/shrinking parameter on momentum and temperature distribution have been analyzed and interpreted graphically.The skin friction and Nusselt number were also evaluated.In addition,existence of dual solution was deduced for the shrinking sheet and unique solution for the stretching one.Further,Al_(2)O_(3)/H_(2)O nanofluid flow has better thermal conductivity on comparing with Cu/H_(2)O nanofluid.Furthermore,it was found that the first solutions of the stream are stable and physically realizable,whereas those of the second ones are unstable.

A new model of flow over stretching(shrinking)and porous sheet with its numerical solutions

The viscous fluid flow and heat transfer over a stretching(shrinking)and porous sheets of nonuniform thickness are investigated in this paper.The modeled problem is presented by utilizing the stretching(shrinking)and porous velocities and variable thickness of the sheet and they are combined in a relation.Consequently,the new problem reproduces the different available forms of flow motion and heat transfer maintained over a stretching(shrinking)and porous sheet of variable thickness in one go.As a result,the governing equations are embedded in several parameters which can be transformed into classical cases of stretched(shrunk)flows over porous sheets.A set of general,unusual and new variables is formed to simplify the governing partial differential equations and boundary conditions.The final equations are compared with the classical models to get the validity of the current simulations and they are exactly matched with each other for different choices of parameters of the current problem when their values are properly adjusted and manipulated.Moreover,we have recovered the classical results for special and appropriate values of the parameters(δ_(1),δ_(2),δ_(3),c,and B).The individual and combined effects of all inputs from the boundary are seen on flow and heat transfer properties with the help of a numerical method and the results are compared with classical solutions in special cases.It is noteworthy that the problem describes and enhances the behavior of all field quantities in view of the governing parameters.Numerical result shows that the dual solutions can be found for different possible values of the shrinking parameter.A stability analysis is accomplished and apprehended in order to establish a criterion for the determinations of linearly stable and physically compatible solutions.The significant features and diversity of the modeled equations are scrutinized by recovering the previous problems of fluid flow and heat transfer from a uniformly heated sheet of variable(uniform)thickness with variable(uniform)stretching/shrinking and injection/suction velocities.

Chemically Radiative MHD Flow of a Micropolar Nanofluid over a Stretching/ Shrinking Sheet with a Heat Source or Sink

This study examines the behavior of a micropolar nanofluidflowing over a sheet in the presence of a transverse magneticfield and thermal effects.In addition,chemical(first-order homogeneous)reactions are taken into account.A similarity transformation is used to reduce the system of governing coupled non-linear partial differ-ential equations(PDEs),which account for the transport of mass,momentum,angular momentum,energy and species,to a set of non-linear ordinary differential equations(ODEs).The Runge-Kutta method along with shoot-ing method is used to solve them.The impact of several parameters is evaluated.It is shown that the micro-rota-tional velocity of thefluid rises with the micropolar factor.Moreover,the radiation parameter can have a remarkable influence on theflow and temperature profiles and on the angular momentum distribution.

Mixed convectional and chemical reactive flow of nanofluid with slanted MHD on moving permeable stretching/shrinking sheet through nonlinear radiation,energy omission

Hybrid nanofluids are remarkable functioning liquids that are intended to reduce the energy loss while maximizing the heat transmission.In the involvement of suction and nonlinear thermal radiation effects,this study attempted to explore the energy transmission features of the inclined magnetohydrodynamic(MHD)stagnation flow of CNTs-hybrid nanofluid across the nonlinear permeable stretching or shrinking sheet.This work also included some noteworthy features like chemical reactions,variable molecular diffusivity,quadratic convection,viscous dissipation,velocity slip and heat omission assessment.Employing appropriate similarity components,the model equations were modified to ODEs and computed by using the HAM technique.The impact of various relevant flow characteristics on movement,heat and concentration profiles was investigated and plotted on a graph.Considering various model factors,the significance of drag friction,heat and mass transfer rate were also computed in tabular and graphical form.This leads to the conclusion that such factors have a considerable impact on the dynamics of fluid as well as other engineering measurements of interest.Furthermore,viscous forces are dominated by increasing the values ofλ_(p),δ_(m)andδ_(q),and as a result,F(ξ)accelerates while the opposite trend is observed for M andφ.The drag friction is boosted by the augmentation M,λ_(p)andφ,but the rate of heat transfer declined.According to our findings,hybrid nanoliquid effects dominate that of ordinary nanofluid in terms of F(ξ),Θ(ξ)andφ(ξ)profiles.The HAM and the numerical technique(shooting method)were found to be in good agreement.

一种新的Shrinking序列周期及线性复杂度

给出了一种新的Shrinking序列模型,并且利用有限域理论,解决了这种新的Shrinking序列的周期及线性复杂度界。

ASE-ERNIE:一种基于ERNIE的中文指令动作序列生成方法

中文结构灵活多样,同样的语义有多种表达方式,在中文指令过长或存在多组动作的情况下,家庭服务机器人很难正确理解并做出响应。此外,家庭环境的中文指令解析研究在数据方面仍然稀缺。现有的方法不能准确提取出指令中包含的全部动作序列。由此提出一种基于ERNIE方法的动作序列提取(ASE-ERNIE)模型来提取中文指令中的可执行动作序列,该模型通过动作类型和参数之间的关系提取指令信息,将动作序列的提取工作转化为序列标注任务。在指令中存在多组动作并且存在多个参数的情况下,依然能够提取出全部动作序列。通过实验验证了所提方法的有效性,动作序列提取任务的F 1值达到了80.37%。

药用天麻4种变型的块茎性状及ITS序列比较

目的:比较乌天麻、红天麻、绿天麻和黄天麻4种药用天麻变型块茎的性状优劣、ITS序列信息差异及其亲缘关系,为天麻药材品质评价及优良品种选育提供依据。方法:从不同产地采集4种天麻变型21批样品,其中块茎683个用于特征描述和量化性状指标(重量、长度、周长、环节数、环节宽、长周比)的比较,花茎37株用于ITS序列特征及遗传多样性的分析。结果:乌天麻性状最稳定;绿天麻、红天麻的6个性状指标平均值变异较大,RSD平均值分别为27.90%、26.17%;黄天麻形状短小,横环纹节数少但小点密集。ITS序列分析表明,绿天麻的遗传多样性最高,黄天麻最低;黄天麻与乌天麻的亲缘关系最近,与绿天麻的亲缘关系最远。结论:药用天麻4种变型之间的块茎性状特征和ITS序列遗传信息的差异较大。乌天麻块茎的性状最优,产量最高,遗传性状信息稳定,更适合大规模种植;绿天麻块茎的形态特征和遗传信息的多样性高,适合作为新品种选育的亲本。

多位Self—Shrinking序列的构造与特性

给出了一种多位Self—Shrinking(自收缩)序列,解决了多位Self—Shrinking序列的周期下界、线性复杂度下界。

基于情境感知和序列模式挖掘的气象学习资源推荐算法

随着互联网的快速发展,气象部门职工作为学习者可以获得的学习资源得到极大丰富。信息超载导致检索合适的在线学习资源时遇到了困难;学习者在不同学习环境和序列访问模式上也有不同的学习需求。但是,现有的推荐系统,如基于内容的推荐和协同过滤,没有结合学习者的情境和序列访问模式,推荐结果准确度不高。本文提出了一种结合情境感知、序列模式挖掘和协同过滤算法的混合推荐算法来为学习者推荐学习资源。混合推荐算法中,情境感知被用来整合学习者的情境信息,如知识水平和学习目标;序列模式挖掘被用来对网络日志进行挖掘,发现学习者的序列访问模式;协同过滤被用来根据学习者的情境数据和序列访问模式为目标学习者计算预测并生成建议。实验和应用效果表明,该混合推荐算法推荐的质量和准确性方面优于其他推荐算法。

海底节点同步源高效混叠采集随机延迟时间序列分布原则研究

近年来,海底节点(OBN)同步震源高效采集方法的研究成为地震勘探领域的热点之一。陆地可控震源数据分离激发参数的选择有时间延迟、相位、扫描长度等3种编码方式。但是,由于海上空气枪激发的特点,相位和扫描长度编码适用性差。只能采用时间延迟编码方式。海上混叠采集时间延迟序列的编码是影响数据分离效果的最关键因素之一。提出了一种基于正态分布约束的均匀随机时间分布定量编码准则,通过目标函数约束构建最优时间序列,并对比分析了实际自然随机激发时间和其它2种理论模拟的随机时间分布方式在共检波点域的分布特征。利用频率波数波数(FKK)域迭代反演方法进行混叠数据分离,单炮模拟测试结果表明,构建的最优时间序列比其它3种分布方式更能有效地分离混叠地震数据。海上三维工区高效混叠采集试验结果表明,根据最优准则构建的延迟时间序列,能够取得较好的数据分离效果。该研究结果为后续野外混叠采集的延迟激发时间设计提供了技术支持。

多位 Self-shrinking 序列模型及研究

给出了一种新的多位Ｓｅｌｆ－ｓｈｒｉｎｋｉｎｇ（自收缩）序列模型，且用一个ＬＦＳＲ装置就能实现该序列。利用有限域理论，解决了Ｓｅｌｆ－ｓｈｒｉｎｋｉｎｇ最长序列周期下界、线性复杂度下界，并给出更一般多位Ｓｅｌｆ－ｓｈｒｉｎｋｉｎｇ最长序列的周期下界、线性复杂度下界。

一种大尺度区域GNSS坐标时间序列自适应时空滤波方法

提出一种GNSS坐标时间序列自适应时空滤波方法,在规定阈值下将滤波区域自适应分为若干个子区域,进行共模误差的提取和去除。对陆态网184个GNSS站点垂向坐标序列进行时空滤波,3组随机实验中,自适应PCA时空滤波后的站点序列平均RMS值减少约39.7%、38.4%和39.7%,且优于整体PCA滤波。进一步分析滤波前后站点噪声特性变化,结果显示,相比于整体PCA滤波,自适应滤波方法中站点残差序列幂律噪声减少约17.8%。

云南盐津地区两种地震序列的地震活动性分析

2020年9月—2021年1月,云南盐津地区出现了密集中小地震活动。为获取更完备的地震目录和更准确的震源参数,利用2020年1月—2021年2月云南及其邻区地震台网记录到地震事件的观测报告和连续波形,采用匹配定位方法检测到了1340次地震事件。利用联合波形互相关的双差地震定位方法进行重定位,获得了检测目录中351次地震的精确位置,对精定位后的地震活动时空分布特征进行分析研究,结果表明:盐津地区发生的密集中小地震活动为先后发生的2种不同类型的地震序列,沿两条不同走向和倾角的断裂分布,其中2020年9—10月的M_(L)3.9震群型地震序列发生在NNW走向、倾角约为75°的盐津—筠连断裂;2021年1月的M_(L)5.2孤立型地震序列发生在近SN走向、断层线与盐津—筠连断裂呈约30°夹角且倾角约为50°的隐伏断裂。

保罗蓝睡莲花器官转录组SSR的分布及其序列特征分析

【目的】通过解析保罗蓝睡莲花转录组数据的SSR位点特征信息,开发新的与表型相关的SSR标记,为睡莲种质资源评价、新品种选育提供科学依据。【方法】以热带睡莲保罗蓝不同花器官部位(雌蕊、雄蕊、花瓣)的转录组数据为背景材料,用MISA软件检索序列的SSR位点,采用Excel对位点特征进行分析作图,Primer 3.0软件设计引物,TP-M13-SSR PCR筛选引物。【结果】在花器官转录组的39079条Unigenes中共检测到12365个SSR位点,位点发生频率为31.64%,平均每5.79 kb出现1个SSR位点。SSR位点的重复类型主要为二核苷酸重复碱基,占SSR位点总数的71.85%,优势重复类型为AG/CT,占碱基总数的61.34%;其次为三核苷酸重复碱基,为26.10%,优势重复类型是AAG/CTT,占比8.30%。SSR碱基重复次数在5~20次,序列长度为12~30 bp,平均长度18.38 bp。引物设计获得9212对引物,从中随机挑选100对进行PCR扩增验证,筛选出9对多态性好的引物,可将12份睡莲种质在遗传相似系数为0.735时聚为3支。【结论】热带睡莲保罗蓝花器官转录组中的SSR位点分布频率高、类型丰富,多态性较高,具较大的应用潜力。开发的9对SSR引物可将12份种质有效分开,进一步丰富了睡莲现有SSR标记,可为睡莲属植物的遗传多样性分析和分子辅助育种提供科学参考。

长时间序列生态系统服务权衡与协同驱动因素——以芜湖市生态系统服务功能极重要区为例

人类对生态系统的管理和干预促使生态系统服务权衡向协同转化,有助于生态系统服务综合效益提升。但当前缺乏对长时间序列分析背景下生态系统服务权衡协同驱动因素及其非线性影响的理解与把握。以芜湖市“生态系统服务功能极重要区”为研究案例,考虑生境质量、碳固定和土壤保持三种关键生态系统服务,基于多源数据,运用逐像元趋势叠加分析法评估1990—2020年间研究区生态系统服务变化趋势及其权衡协同空间分布规律,采用随机森林模型探索该区域生态系统服务权衡协同形成的关键驱动因素及其非线性影响效应。研究结果表明:(1)31年间芜湖市域生境质量显著下降区域面积约为提升面积的两倍,存在进一步衰退的风险。同时,城市扩张导致市郊边缘地带碳固定、土壤保持显著下降。(2)研究区生态系统服务供给能力受权衡协同影响显著,受影响区域总面积占比达64.48%。受权衡影响区域与协同影响区域存在显著空间差异。(3)土地利用强度是管理生态系统服务权衡向协同转化的主导因素。土地利用强度对权衡协同的影响表现出非线性特征并且存在影响阈值。当强度等级介于弱与中且偏向弱强度时对不同服务协同增益具有积极作用。

基于时间序列相似性与机器学习方法的页岩气井产量预测

页岩气井单变量产量预测存在较强的不确定性,而现场生产动态数据同时包括多个相关指标,针对如何选取合理的多变量数据对页岩气井产量进行预测,在保证计算效率的情况下提高预测精度。页岩气井的生产动态数据集包括日产气量、日产水量、套压、油压、油嘴直径、开井时间和温度等,采用欧式距离和动态时间弯曲距离对生产动态数据时间序列进行相似性度量,依据与日产气量的相关度,把数据分为强相关时间序列和弱相关时间序列;其次,基于卷积神经网络、循环神经网络、长短期记忆网络和门控神经网络分别对全时间序列、强相关序列、弱相关序列和单变量序列进行页岩气井产量预测;最后,以平均绝对误差、均方根误差和决定系数作为评价指标,得到不同序列的误差由小到大排序为强相关序列、全时间序列、弱相关序列、单变量序列,优选的机器学习方法为门控神经网络和长短期记忆网络。结果表明,采用机器学习方法结合页岩气井强相关性序列(日产气量、套压、油压、日产水量)能有效降低预测误差,提高页岩气井产量预测效果。

铝土矿及伴生关键金属矿床的岩石(矿石)组成、成矿序列及成矿机理

大陆风化是地球表层系统中的关键过程,涉及多种能量形式(太阳能、风能、化学能和重力势能)和物理化学过程,是地球化学元素在地球不同层面(如岩石圈、水圈、生物圈和大气圈)之间迁移和重新分配的基础。在此过程中,异常的元素富集可形成工业级的风化淋滤矿床。风化淋滤矿床可进一步区分出风化矿床和沉积—淋滤型矿床2种类型。传统的矿床学和沉积学研究方法在理解风化淋滤矿床形成过程中存在局限性,特别是在解析成矿阶段和动态成矿过程方面仍不甚明晰,导致该类型矿床在基础研究和勘查方面长期存在亟待解决的一批问题。本研究在厘清大陆风化作用、风化壳(古风化壳)、土壤(古土壤)等概念的基础之上,对现代风化淋滤剖面(如广西贵港三水铝石矿床)和古老风化淋滤型矿床(如中国华南地区早石炭世—晚二叠世铝土矿床及沉积淋滤型稀土矿床)开展了系统的沉积学分析与对比工作。研究发现,风化淋滤矿床的结构组分主要包括碎屑、团粒与包粒、块状黏土等结构类型,分别对应碎屑状、包粒状、致密状矿石的形成。成岩过程主要依赖于氧化物矿物及黏土质的胶结与填隙作用。基于上述认识,提出了风化淋滤矿床的淋滤序列和剖面结构划分方案。该方案以风化剖面中渗流带与潜流带作为基本的划分依据,进一步区分出风化矿床序列与沉积—淋滤型矿床序列,两者主要以是否出现沉积单位作为主要识别标志。以古气候为主线分析了风化淋滤矿床的成因机理,并结合近年来质量平衡计算相关成果,总结了淋滤过程中元素迁移规律,将风化淋滤型矿床的成矿过程概括为成矿母质形成、成矿物质风化和后期改造3个阶段。