《毛传》、《郑笺》、《孔疏》训诂术语评析

考述《毛传》、《郑笺》、《孔疏》训诂术语的使用情况,从中可窥探出汉唐八百年间训诂术语由随意性向规范性、单一性向系统性发展的轨迹,从而有助于我们清晰地看到训诂学科在各阶段的发展水平:西汉初期处在重要的发展阶段,东汉中后期已发展到繁荣阶段,唐代则是进一步发展阶段。

论《孔疏》之“兴”

通过对《孔疏》标“兴”之特点与《毛诗传》《郑笺》标“兴”之特点比较分析,提出《孔疏》之标“兴”主要着眼于“兴”与作品主旨之间的关系,而没有特别注重标“兴”的位置。这些特点使得《孔疏》之“兴”开始从政治化逐渐转向文学化。

今本《毛诗草木鸟兽虫鱼疏》与《毛诗正义》关系考论

《陆疏》原书久佚,而《孔疏》征引最多,《陆疏》今本均为辑本,是以元明丛书为源头而形成的今本系统。探求《陆疏》今本与《孔疏》的关系、在《孔疏》基础上以哪些方式作了哪些增补与改动,是探求《陆疏》今本的祖本原貌、进而确立《陆疏》今本间关系的基础。今本《陆疏》主体辑自《孔疏》,其条目名皆取《诗经》某句,大体与《诗经》篇目对应,使名、物、证三位一体,当是辑录者所为;有些未对应条目,或因辑补时“冠名”致误,或出于某种编纂需要而有意为之。而辑撰的主要方式有增补句首名物词、合辑不同语段、拆分同一语段后增补、整合《孔疏》所引其它文献、将《孔疏》文羼入,甚至据其它文献臆补等,这也造成今本《陆疏》较之唐宋文献所引“膨胀”许多。

毛亨、郑玄、孔颖达《诗经》修辞训解比较

本文通过对毛传、郑笺和孔疏中对《诗经》原文的修辞训解进行整理分析,总结出了三家修辞观的各自特点,并对三者之间的传承发展脉络做出了梳理。

生命体验与比兴——刘勰“比兴”观新探

长期以来人们对刘勰的“比兴”观的基本内涵的理解颇多歧异 ,有人认为“比兴”是一种诗法 ,而有人认为“比兴”是一种诗体。两种观点各执一端 ,但思维方式是一致的 ,即都是站在诗人创作的外部来看“比兴” ,因而都有偏颇。本文认为 ,只有从诗人创作的内部即从诗人创作活动的生命体验的角度来看比兴 ,才能真正理解刘勰的“比兴”观。在《文心雕龙·比兴》篇里 ,刘勰正是从诗人创作的过程中来论述比兴的。这个过程的三个重要环节就是“触物圆览———讽兼比兴———拟容取心”。也就是说首先要有独特的生命体验 ,然后才能讽兼比兴 ,最终达到拟容取心的艺术效果。

传统诗经学《关雎》诗旨演变考

＂诗经汉学＂论《关雎》＂礼＂占主导地位,＂情＂被无情地淹没,直到宋代、清代,＂情＂才被渐渐重新发掘,但就像《论语》、《孔子诗论》一样,传统诗经学论《关雎》等诗从来就没有脱离＂经学＂的束缚,直到＂现代诗学＂的出现,诗经学研究才最终摆脱了＂经学＂的樊篱。传统诗经学研究并非无源之水,《论语》、《孔子诗论》＂温柔敦厚＂、＂以礼节情＂的观念皆贯穿其中。

Hydrophobic intensification flotation:Comparison of collector containing two minerophilic groups with conventional collectors

The surface hydrophobization and flotation of a xanthate−hydroxamate collector toward copper oxide mineral were compared with the combined collectors of xanthate and hydroxamate through water contact angle(WCA)and micro-flotation experiments.The results showed that S-[(2-hydroxyamino)-2-oxoethyl]-O-octyl-dithiocarbonate ester(HAOODE)exhibited stronger hydrophobization and better flotation performance to malachite(Cu2(OH)2CO3)than octyl-hydroxamic acid(OHA)and its combination with S-allyl-O-ethyl xanthate ester(AEXE).To understand the hydrophobic intensification mechanism of HAOODE to malachite,zeta potential,atomic force microscopy(AFM)and XPS measurements were carried out.The results recommended that malachite chemisorbed HAOODE to form Cu—HAOODE complexes in which the hydroxamate—(O,O)—Cu and—O—C(—S—Cu)—S—configurations co-existed.The co-adsorption of HAOODE’s hetero-difunctional groups was more stable than the single-functionalgroup adsorption of OHA and AEXE,which produced the“loop”structure and intensified the self-assembly alignment of HAOODE on malachite surfaces.In addition,the“h”shape steric orientation of the double hydrophobic groups in HAOODE facilitated stronger hydrophobization toward malachite than the“line”or“V”hydrophobic carbon chains of OHA or AEXE.Thus,HAOODE achieved the preferable flotation recovery of malachite particles in comparison with OHA and AEXE.

Inverse synthetic aperture radar imaging based on sparse signal processing

Based on the measurement model of inverse synthetic aperture radar (ISAR) within a small aspect sector,an imaging method was presented with the application of sparse signal processing.This method can form higher resolution inverse synthetic aperture radar images from compensating incomplete measured data,and improves the clarity of the images and makes the feature structure much more clear,which is helpful for target recognition.The simulation results indicate that this method can provide clear ISAR images with high contrast under complex motion case.

Synthetic aperture radar imaging based on attributed scatter model using sparse recovery techniques

The sparse recovery algorithms formulate synthetic aperture radar （SAR） imaging problem in terms of sparse representation （SR） of a small number of strong scatters＇ positions among a much large number of potential scatters＇ positions, and provide an effective approach to improve the SAR image resolution. Based on the attributed scatter center model, several experiments were performed with different practical considerations to evaluate the performance of five representative SR techniques, namely, sparse Bayesian learning （SBL）, fast Bayesian matching pursuit （FBMP）, smoothed 10 norm method （SL0）, sparse reconstruction by separable approximation （SpaRSA）, fast iterative shrinkage-thresholding algorithm （FISTA）, and the parameter settings in five SR algorithms were discussed. In different situations, the performances of these algorithms were also discussed. Through the comparison of MSE and failure rate in each algorithm simulation, FBMP and SpaRSA are found suitable for dealing with problems in the SAR imaging based on attributed scattering center model. Although the SBL is time-consuming, it always get better performance when related to failure rate and high SNR.