A rice male-sterile mutant OsMS-L of japonica cultivar 9522 background, was obtained in M4 population treated with 60 Co γ-Ray. Genetic analysis indicated that the male-sterile phenotype was controlled by a single recessive gene. Results of tissue section showed that at microspore stage, OsMS-L tapetum was retarded. Then tapetal cells expanded and microspores degenerated. No matured pollens were observed in OsMS-L anther locus. To map OsMS-L locus, an F 2 population was constructed from the cross between the OsMS-L (japonica) and LongTeFu B(indica). Firstly, the OsMS-L locus was roughly mapped between two SSR markers, RM109 and RM7562 on chromosome 2. And then eleven polymorphic markers were developed for further fine fine-mapping. At last the OsMS-L locus was mapped between the two InDel markers, Lhs10 and Lhs6 with genetic distance of 0.4 cM, respectively. The region was delimited to 133 kb. All these results were useful for further cloning and functional analysis of OsMS-L.
Tree biomass was investigated in an age-sequence of secondary lacebark pine (Pinus bungeana) forests to understand biomass partitioning patterns during stand development. Mean biomass of each tree component increased steadily as stands aged. Average growth rates and ratios of tree biomass to stand age increased with age. The ratio of below-to above-ground biomass remained relatively constant independent of stand age. Compared to DBH-H allometric equations, the DBH-only equations performed slightly better and are more efficient to apply. These new equations for lacebark pine are an important supplement to China' s national tree biomass equations. These equations and the findings on biomass partitioning patterns during stand development are applicable for the accurate estimation of ecosystem carbon accounting and will contribute to the sustainable management of lacebark pine forests.Keywords: age-sequence, biomass allocation, Pinus bungeana RÉSUMÉ La biomasse des arbres a été étudiée selon une séquence chronologique dans le cas d'une forêt secondaire de pin Napoléon (Pinus bungeana) afin de comprendre les schémas de répartition de la biomasse au cours du développement du peuplement. La biomasse moyenne de chacun des arbres a augmenté de façon constante à mesure du vieillissement du peuplement. Le taux moyen de croissance et le ratio de la biomasse des arbres par rapport à l'âge du peuplement ont augmenté au cours des ans. Le ratio de la biomasse dans le sol par rapport à celle au-dessus du sol est demeuré de façon constante relativement indépendant de l'âge du peuplement. Suite à des comparaisons des équations allométriques dhp-h, les équations portant uniquement sur le dhp ont donné des résultats légèrement plus intéressants et sont plus efficaces. Ces nouvelles équations pour le pin Napoléon représentent une contribution significative aux équations nationales décrivant la biomasse tirée des arbres en Chine. Ces équations et ces résultats sur les schémas de répartition de la biomasse au cours du développement du peuplement peuvent être utilisés pour effectuer une estimation précise de la comptabilisation du carbone des écosystèmes et contribueront à l'aménagement durable des forêts de pin Napoléon.Mots clés : séquence chronologique, répartition de la biomasse, Pinus bungeana
Radiation reagents that specifically target tumors are in high demand for the treatment of cancer. The emerging field of RNA nanotechnology might provide new opportunities for targeted radiation therapy. This study investigates whether chemically modified RNA nanoparticles derived from the packaging RNA (pRNA) threeway junction (3WJ) of phi29 DNA-packaging motor are resistant to potent I-125 and Cs-131 radiation, which is a prerequisite for utilizing these RNA nanoparticles as carriers for targeted radiation therapy. pRNA 3WJ nanoparticles were constructed and characterized, and the stability of these nanoparticles under I-125 and Cs-131 irradiation with clinically relevant doses was examined. RNA nanoparticles derived from the pRNA 3WJ targeted tumors specifically and they were stable under irradiation of I-125 and Cs-131 with clinically relevant doses ranging from 1 to 90 Gy over a significantly long time up to 20 days, while control plasmid DNA was damaged at 20 Gy or higher.
Social Recommender Systems (SRS) have attracted considerable attention since its accompanying service, social networks, helps increase user satisfaction and provides auxiliary information to improve recommendations. However, most existing SRS focus on social influence and ignore another essential social phenomenon, i.e., social homophily. Social homophily, which is the premise of social influence, indicates that people tend to build social relations with similar people and form influence propagation paths. In this article, we propose a generic framework Social PathExplorer (SPEX) to enhance neural SRS. SPEX treats the neural recommendation model as a black box and improves the quality of recommendations by modeling the social recommendation task, the formation of social homophily, and their mutual effect in the manner of multi-task learning. We design a Graph Neural Network based component for influence propagation path prediction to help SPEX capture the rich information conveyed by the formation of social homophily. We further propose an uncertainty based task balancing method to set appropriate task weights for the recommendation task and the path prediction task during the joint optimization. Extensive experiments have validated that SPEX can be easily plugged into various state-of-the-art neural recommendation models and help improve their performance. The source code of our work is available at: https://github.com/XMUDM/SPEX.
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