307 research outputs found
Performance Evaluation of New Table Grape Varieties under High Light Intensity Conditions Based on the Photosynthetic and Chlorophyll Fluorescence Characteristics
No full textThe evaluation of photosynthetic characteristics of plants is important for the success rate of germplasm introduction. To select grape varieties with higher adaptability and trait performance, this experiment is aimed at evaluating and comparing the photosynthetic indices, chlorophyll fluorescence parameters, photosynthetic pigment content, and leaf characteristics of five Chinese hybrid varieties. The results showed that under high light intensity stress, the leaf growth of ‘Ruidu Cuixia’ was most affected and its specific leaf weight was the lowest, while ‘Jing Hongbao’ had the highest chlorophyll content. The maximum net photosynthetic rate (Pnmax), maximum light quantum yield (Fv/Fm), and apparent quantum efficiency (AQE) were different among varieties. It was reported that the ‘Ruidu Zaohong’ variety had the highest Pnmax. ‘Ruidu Wuheyi’ was found to have the highest Fv/Fm, while the highest AQE was recorded for ‘Ruidu Cuixia’, with intercellular CO2 concentration (Ci) and stomatal conductance (gs) at 292.56 μmol·mol−1, 766.56 mmol·m−2·s−1, and 66.8 μmol·m−2·s−1, respectively. The indices of ABS/CSm, TRo/CSm, and DIo/CSm were significantly different among varieties, and these indices of ‘Ruidu Zaohong’ were the highest. Pn was positively correlated with Ci and Tr, gs were positively correlated with Fv and TRo/CSm. The specific leaf area was negatively correlated with Fv/Fm and ΦDIo. The results of the principal component analysis and TOPSIS comprehensive evaluation showed that ‘Jing Hongbao’ and ‘Ruidu Cuixia’ performed best. Overall, the measurement of the photosynthetic characteristics of the plants during the growing period provided valuable data for the varietal introduction strategies. The better photosynthetic performance of ‘Jing Hongbao’ and ‘Ruidu Cuixia’ indicates more adaptability to the long day, high light intensity, and the high-temperature climate of Xinjiang
Adaptive Total Variation Based on Feature Scale
No full textThe widely used Total Variation de-noising algorithm can preserve sharp edge, while removing noise. However, since fixed regularization parameter over entire image, small details and textures are often lost in the process. In this paper, we propose a modified Total Variation algorithm to better preserve smaller-scaled features. This is done by allowing an adaptive regularization parameter to control the amount of de-noising in any region of image, according to relative information of local feature scale. Experimental results demonstrate the efficient of the proposed algorithm. Compared with standard Total Variation, our algorithm can better preserve smaller-scaled features and show better performance
Enhanced Redox Kinetics of Aqueous I-1/I2/I+ Conversion Chemistry in Hydrated Eutectic Electrolyte Over a Wide Temperature Range
No full textPublished online: June 19, 2025Due to the continuous I−/I2/I+ redox couples, four-electron zinc-iodine aqueous batteries (4eZIBs) offer a high theoretical capacity of 422 mAh g−1. However, sluggish iodine conversion kinetics and unstable zinc plating/stripping significantly limit their widespread adoption. Here, a cost-effective hydrated eutectic electrolyte enriched with organic cations is developed to enhance the reversibility and kinetics of Zn deposition and four-electron iodine conversion across a wide temperature range. Specifically, the iodophilic choline cation (Ch+), in synergy with glycerol, significantly stabilizes I+ and enhances the redox kinetics of iodine species. Concurrently, the adsorption of Ch+ on the anode surface promotes the uniform deposition of Zn2+. Furthermore, the interaction between eutectic components and water disrupts the hydrogen bond network of free water molecules, thereby enhancing the freeze resistance of the electrolyte. Consequently, the 4eZIBs with optimized hydrated eutectic electrolyte not only demonstrate remarkable cyclability with a low-capacity decay of 0.0016% per cycle over 15 000 cycles but also exhibit excellent temperature adaptability in a wide temperature range from −25 to 40 °C. This work provides new insights into the rational design of high-performance 4eZIBs through the organic cation chemistry and optimized electrolyte structures.Ling Liu, Longhai Zhang, Yangyang Liu, Shilin Zhang, Rui Wang, Fujun Li, Hongbao Li, Junnan Hao, Chaofeng Zhang, and Zaiping Gu
Symbolic logic inference system based on recurrent multilayered perceptron neural networks
No full textGPNMB contributes to a vicious circle for chronic obstructive pulmonary disease
No full textOsteoporosis (OP) is significant and debilitating comorbidity of chronic obstructive pulmonary disease (COPD). We hypothesize that genetic variance identified with OP may also play roles in COPD. We have conducted a large-scale relation data analysis to explore the genes implicated with either OP or COPD, or both. Each gene linked to OP but not to COPD was further explored in a mega-analysis and partial mega-analysis of 15 independently collected COPD RNA expression datasets, followed by gene set enrichment analysis (GSEA) and literature-based pathway analysis to explore their functional linked to COPD. A multiple linear regression (MLR) model was built to study the possible influence of sample size, population region, and study date on the gene expression data in COPD. At the first step of the analysis, we have identified 918 genes associated with COPD, 581 with OP, and a significant overlap (
A covariant entropy conjecture on cosmological dynamical horizon
No full textWe here propose a covariant entropy conjecture on cosmological dynamical horizon. After the formulation of our conjecture, we test its validity in adiabatically expanding universes with open, flat and closed spatial geometry, where our conjecture can also be viewed as a cosmological version of the generalized second law of thermodynamics in some sense.Physics, Particles & FieldsSCI(E)0ARTICLE10nul
Segmentation of M-FISH Images for improved classification of chromosomes with an adaptive fuzzy c-means clustering algorithm
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