This paper proposes a method that combines multiple models and high-confidence dictionary for event nugget detection. This method introduces dictionary features into maximum entropy model and conditional random fields model respectively, then combines the results of two models. In addition, the lexical length and the length of the dependency path between the trigger and negation or speculation in event realis recognition are considered to improve the accuracy of event realis detection. Compared to the method based on maximum entropy model, the experiment results show that proposed method can get 6.43% gain of F1 in event nugget recognition and 1.69% gain of F1 in event realis recognition.

To explore the moderating role of interpretative bias in the relation of attentional bias and social anxiety. In study 1, a positive attentional training program, using a modified dot-probe task, was used to modify the attentional bias in a nonclinical sample of students. After two days training, results revealed no different change on self-reported anxiety. The participants showed preference for positive information post-training, while avoidance pre-training in the 500 ms condition. Based on the founding of study 1, data collected from college students were used to investigate the relationship among attentional bias, interpretative bias and social anxiety by regression analysis in study 2. There was a significant interaction of interpretative bias by attentional bias scores, which meant the existence of moderating effect. Attentional bias can predict social anxiety under high interpretative bias condition, but not in individuals with low interpretative bias. The results provide a new perspective of interpretative bias to view the influences of attentional bias on social anxiety.

Petrology, mineralogy and geochemistry method such as thin section, cast thin section, scanning electron microscope observation, cathodoluminescence, energy spectrum and major element experiment were used to analyze the genesis of Permian volcanic reservoir in Yuenan Region, Tarim Basin. It is found that Permian volcanic reservoir, dominated by secondary pore space can be regarded as favorable reservoir because the porosity of the primary pore space can reach 14% and 13.1×10^?3 μm² respectively. Genesis of the secondary pore and cracks is the weathering, whose intensity increases with the depth decreasing. The porosity and the permeability is positively correlated to weathering. The thickness of weathering effect can reach at least 220 m. The weathering dissolution and leaching process take priority of weak plane, such as large number of primary pores, cooling contracted crack, cryptoexplosion fracture which generate in the cooling of volcanic and cleavage crack, twin stitch of primary mineral. Weathering sequence of feldspar phenocryst and matrix is found in rhyolite, weathering products are mainly illite, with small amounts of montmorillonite, and the entire sequence of clay minerals growth process is preserved. Weathering can modify substantially pore structure on the basis of primary porosity, and improve the porosity and permeability greatly, which is the main controlling factor of Permian volcanic reservoir of Yuenan Region, Tarim Basin.

Seismic reflection characteristics of Permian volcanic rocks in the Tarim Basin were summarized and illustrated by using large number of exploration data from Tarim oil field, and then logging-seismic integrated recognition model was established. Meticulous characterization of Permian volcanic rocks?spatial distribution was achieved through comprehensive study of outcrop, drilling, logging and 2D seismic data. The Remnants of the Permian basalt in the Tarim basin cover an area of about 2. 46 ×10⁵ km², and the remnants of the Permian rhyolite cover an area of about 4.04×10⁴ km². As Permian stratas are missed in most area of north and east Tarim Basin, original Pemian volcanic eruption area may be much larger than residual area. This study lays foundation for further understanding of Permian volcanism in Tarim basin.

The authors consider pairings on binary Edwards curves and give two approaches to construct pairings and implement them. One is based on the birational equivalence between a binary Edwards curve and an elliptic curve in Weierstrass form, the other is based on a 2-isogeny from a binary Edwards curve to an elliptic curve. For both approaches, the authors give the computation of their Miller functions and present two algorithms for their pairing computation. Especially in the second algorithm, more field squaring operations are included, which is more efficient.

Remotely sensed mapping data and methods of landscape structure analysis were used to study the structure and spatial distribution characteristics of agricultural land patches during the fast urbanization process of Longhua area, Shenzhen City. Conclusions of the study were as follows: (1) The fast urbanization process made croplands decrease rapidly, but did not produce very significant impacts on the total area of the orchard; (2) Human landscape transformation during 1992 was very severely, and the cropland fragmentation could be divided into two different stages; (3) Random spatial distribution with microscopic heterogeneity of the two agricultural elements was maintained, but the evenness had a little bit decreasing. Compared with farmland, the spatial distribution of orchard expressed very different characteristics. Under continuous scale, distribution of orchard showed a regular pattern such as unevenness (small scale: side length of the box was shorter than 8 cells)-evenness (small and moderate scale: the length was among 8 and 50 cells)-unevenness (moderate scale: the length was among 50 and 200 cells)-evenness (moderate and large scale: the length was longer than 200 cells); (4) Human landscape transformation was the major impact factor of landscape changing, and a kind of moderate scale impact factor. The terrain was only a background impact factor; (5) During domestic landscape transforming in the working area, because the ecological maintenance value of two agricultural elements were not considered, their structural and functional equilibrium decreased gradually.

Based on the NOAA AVHRR data and GIS software, we studied on the characteristics of forest-steppe ecotone in the southern edge of Inner Mongolia Plateau. The pattern of NDVI was analyzed through 12 monthly NOAA AVHRR data of the years 1992-1993. Meanwhile, we used standardized principal components as a compressed tool to analysis the working area. And then two principal components was extracted, we found that the component 1 stood for the cumulative NDVI which meant the total biomass; the component 2 represented the variance between the hot months and the cold months which amounted to the fluctuation from the growing periods to the un-growing periods. The component 1 was gradually increased vie the steppe to the forest coincide with the component 2. Finally, the working area was classified by the two principal components, the result of classification is satisfying. It proved that the standardized principal component method is an effective tool for classifying.