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The purpose of this study was to save manpower and reduce costs on water quality measurement in cage culture. An unmanned aerial vehicle system was applied to locate the target net cage and detect the water quality and temperature in the desired cage automatically. This paper presents the use of image recognition and deep learning to find a predefined target location of cage aquaculture. The whole drone control and image recognition process was based on an onboard computer and was successfully realized in an actual environment. When the drone approached the net cage, image recognition was utilized to fix the position of the unmanned aerial vehicle on the net cage and drop a sensor to check the water quality. The proposed system could improve conventional manned measurement methods and reduce the costs of cage culture.

OBJECTIVE: To investigate the clinical treatment outcomes and the changes of the outcomes over time in extremely preterm twins in Guangdong Province, China. METHODS: A retrospective analysis was performed for 269 pairs of extremely preterm twins with a gestational age of

We identified FLY as a previously uncharacterized RNA-binding-family protein that controls flowering time by positively regulating the expression of FLC clade members. The ability of flowering plants to adjust the timing of the floral transition based on endogenous and environmental signals contributes to their adaptive success. In Arabidopsis thaliana, the MADS-domain protein FLOWERING LOCUS C (FLC) and the FLC clade members FLOWERING LOCUS M/MADS AFFECTING FLOWERING1 (FLM/MAF1), MAF2, MAF3, MAF4, and MAF5 form nuclear complexes that repress flowering under noninductive conditions. However, how FLM/MAF genes are regulated requires further study. Using a genetic strategy, we showed that the previously uncharacterized K-homology (KH) domain protein FLOWERING LOCUS Y (FLY) modulates flowering time. The fly-1 knockout mutant and FLY artificial microRNA knockdown line flowered earlier than the wild type under long- and short-day conditions. The knockout fly-1 allele, a SALK T-DNA insertion mutant, contains an ~ 110-kb genomic deletion induced by T-DNA integration. FLC clade members were downregulated in the fly-1 mutants and FLY artificial microRNA knockdown line, whereas the level of the FLC antisense transcript COOLAIR was similar to that of the wild type. Our results identify FLY as a regulator that affects flowering time through upregulation of FLC clade members.

Background With the increase in extremely low birth weight (ELBW) infants, their outcomes received special attention. However, in China, studies of the outcomes of ELBW infants are rare. Methods The hospitalized records of ELBW infants discharged from twenty-six neonatal intensive care units were reviewed and analyzed. Results A total of 2575 ELBW infants were enrolled and the overall survival rate was 55.11%. From 2008 to 2017, the number of ELBW infants increased rapidly from 91 to 466, and the survival rate improved steadily from 41.76–62.02%. The survival rate rose with increasing BW, the ascending level of regional economic development and specialist hospitals. The incidence of complications was neonatal respiratory distress syndrome (85.2%), bronchopulmonary dysplasia (63.7%), retinopathy of prematurity (39.3%), intraventricular hemorrhage (29.4%), necrotizing enterocolitis (12.0%), and periventricular leukomalacia (8.0%). Among the 1156 nonsurvivors, 90.0% of infants died during the neonatal period (≤ 28 days), and the other died after the neonatal period. A total of 768 ELBW infants died after medical care withdrawal, with economic factors and expected outcome being important causes. Conclusion The number of ELBW infants is increasing in China, and the overall survival rate is still low but is improving steadily.

Genotype and frequency data of 1185 ancestry informative SNPs

Genotype and frequency data of 1185 ancestry informative SNPs

Genotype and frequency data of 1185 ancestry informative SNPs