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In the traditional video and image processing technology field, researchers often focus on the processing of the image content, especially the accuracy and the speed. However, the geographic information data carried by UAV video and image is often ignored, resulting in the image only containing the scene information and losing the geographic data information after the image processing is completed, so that the user cannot quickly obtain the geographic information of the target of interest from image processing results. In order to process the geographic information efficiently, an image mosaicking and verification algorithm for UAV image with geographic information regards geographic information data as multi-channel double floating-point matrix data, which can be calculated synchronously using matrix processing algorithms. Meanwhile, the accuracy and speed of a large number of image mosaicking tasks can be improved by using image-splicing algorithm based on grouping control with geographic information. The experimental results show that the proposed algorithm can effectively process the UAV image with geographic information, especially in image mosaicking. [ABSTRACT FROM AUTHOR]

[Objectives] To investigate genetic variation in Calliptamus italicus (L.), an important pest of desert and semi-desert grasslands in Xinjiang. [Methods] Microsatellite loci were analyzed from the transcriptome dataset of C. italicus, and primers designed for PCR amplification. SSR loci were identified using MISA, and primers were designed using Primer 5 for experimental validation. [Results] In total, 156 500 SSR loci distributed in 126 369 unigenes were detected. The majority of these were mono-nucleotides (60.88%), followed by di-nucleotides (23.58%), tri-nucleotides (12.99%), and tetra-nucleotides (2.04%). The most abundant mono-nucleotide repeat motif was A/T (44.38%). The dominant motif among the di-nucleotide repeat units was AC/GT (12.99%), followed by AG/CT (8.05%). 24 primer pairs were randomly selected to validate SSR loci detected with genomic DNA from multiple individuals from 10 different geographic populations. 6 primer pairs amplified the expected products. [Conclusion] Based on transcriptome data, 156 500 SSR loci were identified which can provide a foundation for research on molecular markers, population genetics and functional genes of C. italicus. [ABSTRACT FROM AUTHOR]

ABSTRACT Greater exposure to Pb(Ⅱ) increases the likelihood of harmful effects in the environment. In this study, the aquatic unicellular alga Chlorella protothecoides ( C. protothecoides) and Chlorella vulgaris ( C. vulgaris) were chosen to assess the acute and chronic toxicity of Pb(Ⅱ) exposure. Results of the observations show dose-response relationships could be clearly observed between Pb(Ⅱ) concentration and percentage inhibition (PI). Exposure to Pb(Ⅱ) increased malondialdehyde (MDA) content by up to 4.22 times compared with the control, suggesting that there was some oxidative damage. ANOVA analysis shows that Pb(Ⅱ) decreased chlorophyll (chl) content, indicating marked concentration-dependent relationships, and the lowest levels of chl a, chl b, and total-chl were 14.53, 18.80, and 17.95% of the controls, respectively. A real-time PCR assay suggests the changes in transcript abundances of three photosynthetic-related genes. After 120 h exposure Pb(Ⅱ) reduced the transcript abundance of rbcL, psaB, and psbC, and the relative abundances of the three genes of C. protothecoides and C. vulgaris in response to Pb(Ⅱ) were 54.66-98.59, 51.68-95.59, 37.89-95.48, 36.04-94.94, 41.19-91.20, and 58.75-96.80% of those of the controls, respectively. As for 28 d treatments, the three genes displayed similar inhibitory trend. This research provides a basic understanding of Pb(Ⅱ) toxicity to aquatic organisms. © 2013 Wiley Periodicals, Inc. Environ Toxicol 29: 1346-1354, 2014. [ABSTRACT FROM AUTHOR]

Over several decades, studies of the relationship between task conflict and team innovation have yielded mixed findings. In the present study, drawing on the resource-based view (RBV), we consider that task conflict can activate a dynamic pool of knowledge resources and argue that the impact of task conflict on team innovation is dependent upon the knowledge integration capacity of a team, which is defined as a team’s ability to effectively combine, capitalize, and utilize the resource pool. A study of 59 teams revealed that, in general, task conflict and team innovation exhibit an inverted U-shape relationship, which was moderated by knowledge integration capability. The implications of our findings with respect to conflict research and conflict management are discussed. [ABSTRACT FROM AUTHOR]