The characteristic target-pattern regional ore zonality of the Nanling region,China(Ⅱ)

By applying the ＇theory of synchronization＇ from the science of complexity to studying the regional regularity of ore formation within the Nanling region of southern China, a characteristic targetpattern regional ore zonality has been discovered. During the early and late Yanshanian epoch （corresponding respectively to the Jurassic and Cretaceous periods）, two centers of ore formation emerged successively in the Nanling region; the former is mainly for rare metals （W, Sn, Mo, Bi, Nb） and one rare-earth element （La） and was generated in the Jurassic period; whereas the latter is mainly for base metals （Cu, Pb, Zn, Sb, Hg）, noble metals （Au, Ag）, and one radioactive element （U） and was generated in the Cretaceous period. Centers of ore formation were brought about by interface dynamics respectively at the Qitianling and Jiuyishan districts in southern Hunan Province. The characteristic giant nonlinear target-pattern regional ore zonality was generated by spatio-temporal synchronization process of the Nanling complex metallogenic system. It induced the collective dynamics and cooperative behavior of the system and displayed the configuration of the regional ore zonality. Then dynamical clustering transformed the configuration into rudimentary ordered coherent structures. Phase dynamics eventually defined the spatio-temporal structures of the target-pattern regional ore zonality and determined their localization and distribution. A new methodology for revealing regional ore zonality is developed, which will encourage further investigation of the formation of deep-seated ore resources and the onset of large-scale mineralization.

The characteristic target-pattern regional ore zonality of the Nanling region,China(Ⅰ)

By applying the ＇theory of synchronization＇ from the science of complexity to studying the regional regularity of ore formation within the Nanling region of southern China, a characteristic targetpattern regional ore zonality has been discovered. During the early and late Yanshanian epoch （corresponding respectively to the Jurassic and Cretaceous periods）, two centers of ore formation emerged successively in the Nanling region; the former is mainly for rare metals （W, Sn, Mo, Bi, Nb） and one rare-earth element （La） and was generated in the Jurassic period; whereas the latter is mainly for base metals （Cu, Pb, Zn, Sb, Hg）, noble metals （Au, Ag）, and one radioactive element （U） and was generated in the Cretaceous period. Centers of ore formation were brought about by interface dynamics respectively at the Qitianling and Jiuyishan districts in southern Hunan province. The characteristic giant nonlinear target-pattern regional ore zonality was generated by spatio-temporal synchronization process of the Nanling complex metallogenic system. It induced the collective dynamics and cooperative behavior of the system and displayed the configuration of the regional ore zonality. Then dynamical clustering transformed the configuration into rudimentary ordered coherent structures. Phase dynamics eventually defined the spatio-temporal structures of the target-pattern regional ore zonality and determined their localization and distribution. A new methodology for revealing regional ore zonality is developed, which will encourage further investigation of the formation of deep-seated ore resources and the onset of laree-scale mineralization.

The characteristic target-pattern regional ore zonality of the Nanling region,China(Ⅲ)

By applying the ＇theory of synchronization＇ from the science of complexity to studying the regional regularity of ore formation within the Nanling region of South China,a characteristic target-pattern regional ore zonality has been discovered.During the early and late Yanshanian epoch （corresponding respectively to the Jurassic and Cretaceous periods）,two centers of ore formation emerged successively in the Nanling region;the former is mainly for rare metals（W,Sn,Mo,Bi,Nb） and one rare-earth element（La） and was generated in the Jurassic period;whereas the latter is mainly for base metals （Cu,Pb,Zn,Sb,Hg）,noble metals（Au,Ag）,and one radioactive element（U） and was generated in the Cretaceous period.Centers of ore formation were brought about by interface dynamics respectively at the Qitianling and Jiuyishan districts in southern Hunan Province.The characteristic giant nonlinear target-pattern regional ore zonality was generated respectively from the two centers of ore formation by the spatio-temporal synchronization process of the Nanling complex metallogenic system.It induced the collective dynamics and cooperative behavior of the system and displayed the configuration of the regional ore zonality.Then dynamical clustering transformed the configuration into rudimentary ordered coherent structures.Phase dynamics eventually defined the spatio-temporal structures of the target-pattern regional ore zonality and determined their localization and distribution.The integral successive processes of synchronization-dynamical clustering-phase dynamics accomplished the regional ore zonality by way of ＂multiple field dynamics＂ of spatio-temporal superposition of multiple coupled pulsatory solitary wave trains of the zonal sequences of different ores.A new methodology for revealing regional ore zonality is developed,which will encourage further investigation of the formation of deep-seated ore resources and the onset of large-scale mineralization.

TARGET PATTERNS AND SPIRAL WAVES IN REACTION-DIFFUSION SYSTEMS WITH LIMIT CYCLE KINETICSAND WEAK DIFFUSION

In this paper, we study periodic waves in reaction-diffusion systems with limit cycle kinetics and weak diffusion. The results are based on the analysis of a nonlinear partial differential equation which is derived from singular perturbation techniques. We obtain the first order approximation expression of the dispersion curve for periodic wave trains and then show that in the generic case of limit cycle kinetics there is a one parameter family of target patterns and the rotating spiral waves of Archimedian type exist. Finally, we apply these results to the general λ-ω systems.

Target morphology and cell memory:a model of regenerative pattern formation

Despite the growing body of work on molecular components required for regenerative repair,we still lack a deep understanding of the ability of some animal species to regenerate their appropriate complex anatomical structure following damage.A key question is how regenerating systems know when to stop growth and remodeling-what mechanisms implement recognition of correct morphology that signals a stop condition？In this work,we review two conceptual models of pattern regeneration that implement a kind of pattern memory.In the first one,all cells communicate with each other and keep the value of the total signal received from the other cells.If a part of the pattern is amputated,the signal distribution changes.The difference fromthe original signal distribution stimulates cell proliferation and leads to pattern regeneration,in effect implementing an error minimization process that uses signaling memory to achieve pattern correction.In the second model,we consider a more complex pattern organization with different cell types.Each tissue contains a central（coordinator）cell that controls the tissue and communicates with the other central cells.Each of them keeps memory about the signals received from other central cells.The values of these signals depend on the mutual cell location,and the memory allows regeneration of the structure when it is modified.The purpose of these models is to suggest possible mechanisms of pattern regeneration operating on the basis of cell memory which are compatible with diverse molecular implementation mechanisms within specific organisms.

Air Target Fuzzy Pattern Recognition Threat-Judgment Model

Threat-judgment is a complicated fuzzy inference problem. Up to now no relevant unified theory and measur-ing standard have been developed. It is very difficult to establish a threat-judgment model with high reliability in the airdefense system for the naval warships. Air target threat level judgment is an important component in naval warship com-bat command decision-making systems. According to the threat level judgment of air targets during the air defense of sin-gle naval warship, a fuzzy pattern recognition model for judging the threat from air targets is established. Then an algo-rithm for identifying the parameters in the model is presented. The model has an adaptive feature and can dynamicallyupdate its parameters according to the state change of the attacking targets and the environment. The method presentedhere can be used for the air defense system threat judgment in the naval warships.

Analysis on Spiral Search Pattern for Moving Target

The distribution function of the target moving in constant velocity and linear course and its meeting condition to the searcher are analyzed.Another proof method for spiral search pattern is presented and the mathematic model of the target possible position is established when performing the linear search.Base on them,the wrong idea about the spiral search pattern can be

A Moving IR Point Target Detection Algorithm Based on Reverse Phase Feature of Neighborhood in Difference Between Neighbor Frame Images

An algorithm for detecting moving IR point target in complex background is proposed, which is based on the Reverse Phase Feature of Neighborhood （RPFN） of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign. Firstly, pairs of points with RPFN are detected in the difference image between neighbor frame images, with which a virtual vector graph is made, and then the moving point target can be detected by the vectors＇ sequence cumulated in vector graphs. In addition, a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper. Finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with SNR not lower than 1.5 can be detected effectively.

Application of Improved Grey Target Technology in Weapon Evaluation

A new method of effectiveness evaluation of weapon systems is set up by improving the formula of approaching degree. According to the grey target theory of grey system theory, the patterns of the weapon systems to be evaluated are formed with the main tactical and technical performance indices of these weapon systems, thereby the standard pattern of these patterns is determined. By solving the approaching degree of patterns to their standard one and making a comparison among them, the evaluation results can be obtained.

Real-world treatment patterns of gastrointestinal neuroendocrine tumors: A claims database analysis

AIM To describe real-world treatment patterns of gastrointestinal neuroendocrine tumors(GI NET).METHODS In this retrospective cohort study,we used 2009-2014 data from 2 United States commercial claims databases to examine newly pharmacologically treated patients using tabular and graphical techniques. Treatments included somatostatin analogues(SSA),cytotoxic chemotherapy(CC),targeted therapy(TT),interferon(IF) and combinations. We identified patients at least 18 years of age,with ≥ 1 inpatient or ≥ 2 outpatient claims for GI NET who initiated pharmacologic treatment from 7/1/09-6/30/14. A 6 mo clean period prior to first treatment ensured patients were newly treated. Patients were followed until end of enrollment or the study end date,whichever was first.RESULTS We identified 2258 newly treated GI NET patients: mean(SD) age was 55.6 years(SD = 9.7),47.2% of the patients were between 55 and 64 years,and 48.8% were female. All regions of the United States were represented. 59.6% started first-line therapy with SSA monotherapy(964 with octreotide LAR,380 with octreotide SA,and 1 with lanreotide),33.3% CC,3.6% TT,and 0.5% IF. The remainder received combinations. Mean follow up was 576 d. Overall mean first-line therapy duration was 361 d(449 d for SSA,215 for CC,267 for TT). 58.9% of patients had no pharmacological treatment beyond first line. The most common secondline was combination therapy with SSA. In graphical pattern analysis,there was no clear pattern visible after first line therapy.CONCLUSION In this study,60% of patients initiated treatment with SSA alone or in combination. The relatively long time to discontinuation suggests possible sustained effectiveness and tolerability.

A Modified Four Path Method for Calculating Coupling Field of Super-Low Altitude Aircraft Target

A novel modified four path method (FPM) is presented for calculating coupling field of super-low altitude aircraft target. Based on the hybrid method PO + MEC (Physical Optics and Method of Equivalent Currents), the antenna radiation pattern is introduced to consider the multipath interference from side lobe of seeker. The modified FPM is used to calculate the coupling field from super-low altitude aircraft target above different terrestrial environments. The curves of scattering coefficient are analyzed. The influences of height of target, root mean square (RMS), and incident angle on coupling field characteristics are discussed. The simulation results can be used for reference in detection for super-low altitude target and optimization for radar system.

基于YOLOv8的女西裤板型弊病检测与修正

在服装定制成衣试穿环节,由于人体体型多样性,经常出现服装试穿不合身的情况。为协助改衣师快速准确找到板型问题及修改方案,以女西裤为例,收集常见的女西裤弊病图像(前裆堆量明显、前裆猫须明显、后片夹裆和后片大腿根堆斜褶明显)作为数据集,并采用深度学习算法中的YOLOv8模型进行实验。研究表明:模型测试阶段,精确度、召回率、平均精度均值(I_(ou)=50%)均达到98%以上,同时结合弊病修正实验验证了弊病修正建议的合理性,实现了女西裤板型弊病的智能检测与修正。

东方蜜蜂微孢子虫侵染过程中nce-miR-15338及候选靶基因的表达谱

【目的】本研究旨在为探究nce-miR-15338调控东方蜜蜂微孢子虫(Nosema ceranae)侵染意大利蜜蜂(Apis mellifera ligustica)工蜂的功能及作用机制提供参考和依据。【方法】采用Stem-loop RT-PCR和Sanger测序验证nce-miR-15338的存在和表达。利用相关软件预测nce-miR-15338的靶基因并进行数据库注释。通过RT-qPCR检测nce-miR-15338及其候选靶基因在东方蜜蜂微孢子虫侵染过程中的表达谱。【结果】nce-miR-15338在东方蜜蜂微孢子虫孢子中真实存在和表达;nce-miR-15338共靶向LCFAL 2和20s PS等16个基因;分别有16、7、8、3个靶基因可注释到Nr、Swiss-Prot、GO和KEGG数据库;相较于接种后1 d,nce-miR-15338的表达量在2 d极显著上调,在4、6、8 d均极显著下调;LCFAL 2的表达量在接种2、4、6、8 d后皆为极显著下调;20s PS在接种2、4、6、8 d的表达水平均为极显著下调。【结论】研究结果证实了nce-miR-15338的真实存在和表达,并明确了东方蜜蜂微孢子虫侵染意大利蜜蜂工蜂过程中nce-miR-15338及其候选靶基因LCFAL 2和20s PS的表达规律。

一种恒星背景的空间目标检测方法

为解决在远距离探测阶段空间目标与恒星的光谱特性和运动相似导致难以检测的问题,研究首先提出多源标准星型模式的星图识别算法,构建标准星型模式,合并多个观测星的识别结果;再提出多帧特征融合判决方法,应用星图仿真、均值漂移聚类以及置信度判决。实验结果表明,对比传统拓扑结构的星图识别算法,多源标准星型模式对星点位置噪声和星等噪声具有更强的抗干扰能力,识别率均高于95%且时间少于2 s,多帧特征融合判决方法准确识别与恒星运动相似的空间目标。该研究提出的方法可以检测恒星背景的空间目标。

高校实践教学评价的目标游离模式建构与应用

针对高校教师在实践教学评价中容易出现的考核不严谨、管理松散、考核方式不适用等问题,借鉴目标游离模式的评价模型,结合实践教学的特点,建构以“前设评价—跟进评价—后设评价”为核心的高校实践教学评价的目标游离模式。这套模式的应用,有其具体的阈限,需多方联动、整合教学资源,坚持“以学生为中心”的教学理念,要在做好前期调研的同时试点推进。

引入时距信息的IR-UWB雷达多域特征融合呼吸模式识别方法

人体呼吸系统相关疾病常常伴随着呼吸深度和节律的异常,因此呼吸信号监测和呼吸模式识别在医疗健康领域中尤其是对于睡眠监测、疾病预断具有重要意义。其中,非接触式的脉冲式超宽带雷达(Impulse Radio Ultra-Wideband,IR-UWB)因具有良好的距离分辨率和穿透能力以及全天候全天时、安全无创的检测优势,正逐步成为睡眠健康监护领域中最关键的感知技术之一。然而受睡眠监测特定的室内场景影响,复杂的测量环境给呼吸模式特征的准确提取带来了限制和挑战,传统的雷达呼吸模式识别算法主要关注一维呼吸时、频域特征,而IR-UWB雷达目标回波信息分散在多个距离门内,使用一维特征识别准确率较低。为此,本文针对IR-UWB雷达中人体呼吸在时间上慢速起伏运动、在距离上是扩展目标的信号模型特点,提出了一种引入时距信息的IR-UWB雷达多域特征融合呼吸模式识别方法。算法在提取一维呼吸信号波形时、频域特征的基础上更进一步挖掘雷达二维时距图像中潜在的呼吸模式形态特征,通过多域特征融合实现呼吸模式的非接触式检测和识别。在图像处理上,针对图像受呼吸异常节律影响呈现局部粘连特性导致呼吸周期提取难的问题,提出一种通过相位矩阵图像处理来检测雷达图像中的呼吸时距条带从而获取图像特征的方法。实验结果表明,利用该算法提取的多域特征对六种呼吸模式进行机器学习的分类识别,可以实现96.3%的识别准确率。

基于图像模式识别的GUI目标识别技术分析

图形用户界面(GUI)目标识别属于重要的软件测试内容,为了提高测试工具的效率和准确性,研究过程以图像模式识别为基础,对传统的模板匹配技术进行优化,选择效果更强的图像灰度化算法、二值化算法和相似度计算模型,建立了快速模板匹配技术和GUI目标快速识别工具。经过性能测试,新开发的识别工具显示出优异的准确率和识别速度,优于同类检测方法。

腐蚀评估中的灰靶方法

介绍了灰靶的基本原理及灰靶构造,并通过应用实例着重探讨了在输油管道腐蚀研究中灰评估的基本方法、作用及效果．研究结果表明,灰靶方法可以通过灰等级的方式来客观地描述管道的腐蚀与防护状态。

中国企业绿色转型:目标模式、面临障碍与对策

中国经济经过改革开放几十年的快速发展,已经成长为世界第二大经济体。与此同时,也出现了非常严重的资源环境问题。面对困境,中国经济必须进行绿色转型。事实上,实现经济绿色转型的主体是企业,因此中国企业的绿色转型发展迫在眉睫。本文诠释了企业绿色转型的内涵,探讨了企业绿色转型目标模式,该目标模式是在处理好企业与自然、社会以及企业内部关系的基础上,实现地球的健康和人的健康,即"双健康"。在此基础上,分析了中国企业绿色转型面临的深层障碍,主要存在于四个方面,即环境标准低且颇具弹性、地方政府和中央政府目标函数不一致、对绿色壁垒的错误认识以及国家政治哲学过于对经济的偏爱。最后,针对我国企业绿色转型所面临的这一系列问题,提出了促进企业绿色转型的对策:推进企业绿色转型,要使政府规范地依法行使公权力,在发挥政府作用的同时,发挥市场的利益诱导功能,使政府力量和市场力量的有机结合。

介质阻挡流光放电中的螺旋波与靶波

采用双水电极实验装置,对大气压氩气介质阻挡放电中的靶波与螺旋波斑图进行了观察测量.实验发现靶波与螺旋波可以互相转变,且有2种不同的转变路径:靶波→单臂螺旋波→靶波→单臂螺旋波;靶波→单臂螺旋波→双臂螺旋波→靶波.