Institution
Southwest University
Education•Chongqing, China•
About: Southwest University is a education organization based out in Chongqing, China. It is known for research contribution in the topics: Gene & Population. The organization has 29772 authors who have published 27755 publications receiving 409441 citations. The organization is also known as: Southwest University in Chongqing & SWU.
Topics: Gene, Population, Catalysis, Bombyx mori, Adsorption
Papers published on a yearly basis
Papers
More filters
••
TL;DR: Correlation and hypergeometric probability function analyses showed the dependence of yield components on kernel-related traits in these elite lines and these chromosomal regions could be targets for marker-assisted selection, fine mapping, and map-based cloning in maize.
Abstract: Huangzaosi, Qi319, and Ye478 are foundation inbred lines widely used in maize breeding in China. To elucidate genetic base of yield components and kernel-related traits in these elite lines, two F2:3 populations derived from crosses Qi319 × Huangzaosi (Q/H, 230 families) and Ye478 × Huangzaosi (Y/H, 235 families), as well as their parents were evaluated in six environments including Henan, Beijing, and Xinjiang in 2007 and 2008. Correlation and hypergeometric probability function analyses showed the dependence of yield components on kernel-related traits. Three mapping procedures were used to identify quantitative trait loci (QTL) for each population: (1) analysis for each of the six environments, (2) joint analysis for each of the three locations across 2 years, and (3) joint analysis across all environments. For the eight traits measured, 90, 89, and 58 QTL for Q/H, and 72, 76, and 51 QTL for Y/H were detected by the three QTL mapping procedures, respectively. About 70% of the QTL from Q/H and 90% of the QTL from Y/H did not show significant QTL × environment interactions in the joint analysis across all environments. Most of the QTL for kernel traits exhibited high stability across 2 years at the same location, even across different locations. Seven major QTL detected under at least four environments were identified on chromosomes 1, 4, 6, 7, 9, and 10 in the populations. Moreover, QTL on chr. 1, chr. 4, and chr. 9 were detected in both populations. These chromosomal regions could be targets for marker-assisted selection, fine mapping, and map-based cloning in maize.
142 citations
••
TL;DR: Wang et al. as mentioned in this paper used the panel data of China's A-share listed firms in 2008-2016, and adopts difference in difference-in-difference (DDD) model constructs a quasi-natural experiment on the impacts of CETS on quantity and quality of innovation.
142 citations
••
TL;DR: The CDs exhibit a quenching of both down- and up-conversion PL in the presence of morin and thus serve as useful probes for morin detection, and the proposed method of determination is simple, sensitive, and cost-effective.
Abstract: Blue luminescent carbon dots (CDs) with a high photoluminescence (PL) quantum yield (48.3 ± 5.3%) were prepared by the one-pot hydrothermal reaction of citric acid with poly(ethylenimine) (PEI). The CDs display bright PL, narrow emission spectra, pH-dependent PL intensity, high photostability, and up-converted luminescence. The CDs exhibit a quenching of both down- and up-conversion PL in the presence of morin and thus serve as useful probes for morin detection. Both down- and up-conversion measurements allow the quantification of concentrations from 0 to 300 μmol/L with a detection limit of 0.6 μmol/L, and this dual-mode detection increases the reliability of the measurement. The proposed method of determination is simple, sensitive, and cost-effective, with potential applications in clinical and biochemical assays.
141 citations
••
TL;DR: In this article, a BiVO4/ferroelectric BiFeO3 composite photoanode by a surface passivation approach was used to greatly enhance photocurrent by ~44 times plus ~400mV negative shift of the onset potential.
141 citations
••
TL;DR: A cost-effective flexible pressure sensor with an ultrahigh sensitivity over an ultrawide pressure-range is developed by combining a sandpaper-molded multilevel microstructured polydimethylsiloxane and a reduced oxide graphene film.
Abstract: Flexible pressure sensors as electronic skins have attracted wide attention to their potential applications for healthcare and intelligent robotics. However, the tradeoff between their sensitivity and pressure range restricts their practical applications in various healthcare fields. Herein, a cost-effective flexible pressure sensor with an ultrahigh sensitivity over an ultrawide pressure-range is developed by combining a sandpaper-molded multilevel microstructured polydimethylsiloxane and a reduced oxide graphene film. The unique multilevel microstructure via a two-step sandpaper-molding method leads to an ultrahigh sensitivity (2.5-1051 kPa-1 ) and can detect subtle and large pressure over an ultrawide range (0.01-400 kPa), which covers the overall pressure regime in daily life. Sharp increases in the contact area and additional contact sites caused by the multilevel microstructures jointly contribute to such unprecedented performance, which is confirmed by in situ observation of the gap variations and the contact states of the sensor under different pressures. Examples of the flexible pressure sensors are shown in potential applications involving the detection of various human physiological signals, such as breathing rate, vocal-cord vibration, heart rate, wrist pulse, and foot plantar pressure. Another object manipulation application is also demonstrated, where the material shows its great potential as electronic skin intelligent robotics and prosthetic limbs.
141 citations
Authors
Showing all 29978 results
Name | H-index | Papers | Citations |
---|---|---|---|
Frank B. Hu | 250 | 1675 | 253464 |
Hongjie Dai | 197 | 570 | 182579 |
Jing Wang | 184 | 4046 | 202769 |
Chao Zhang | 127 | 3119 | 84711 |
Jianjun Liu | 112 | 1040 | 71032 |
Miao Liu | 111 | 993 | 59811 |
Jun Yang | 107 | 2090 | 55257 |
Eric Westhof | 98 | 472 | 34825 |
En-Tang Kang | 97 | 763 | 38498 |
Chang Ming Li | 97 | 896 | 42888 |
Wei Zhou | 93 | 1640 | 39772 |
Li Zhang | 92 | 918 | 35648 |
Heinz Rennenberg | 87 | 527 | 26359 |
Tao Chen | 86 | 820 | 27714 |
Xun Wang | 84 | 606 | 32187 |