المؤلفون: Zhiyong Zou, Jie Chen, Weijia Wu, Jinghao Luo, Tao Long, Qingsong Wu, Qianlong Wang, Jiangbo Zhen, Yongpeng Zhao, Yuchao Wang, Yongming Chen, Man Zhou, Lijia Xu

المصدر: Frontiers in Plant Science. 14

مصطلحات موضوعية: Plant Science

الوصف: Rapid nondestructive testing of peanut seed vigor is of great significance in current research. Before seeds are sown, effective screening of high-quality seeds for planting is crucial to improve the quality of crop yield, and seed vitality is one of the important indicators to evaluate seed quality, which can represent the potential ability of seeds to germinate quickly and whole and grow into normal seedlings or plants. Meanwhile, the advantage of nondestructive testing technology is that the seeds themselves will not be damaged. In this study, hyperspectral technology and superoxide dismutase activity were used to detect peanut seed vigor. To investigate peanut seed vigor and predict superoxide dismutase activity, spectral characteristics of peanut seeds in the wavelength range of 400-1000 nm were analyzed. The spectral data are processed by a variety of hot spot algorithms. Spectral data were preprocessed with Savitzky-Golay (SG), multivariate scatter correction (MSC), and median filtering (MF), which can effectively to reduce the effects of baseline drift and tilt. CatBoost and Gradient Boosted Decision Tree were used for feature band extraction, the top five weights of the characteristic bands of peanut seed vigor classification are 425.48nm, 930.8nm, 965.32nm, 984.0nm, and 994.7nm. XGBoost, LightGBM, Support Vector Machine and Random Forest were used for modeling of seed vitality classification. XGBoost and partial least squares regression were used to establish superoxide dismutase activity value regression model. The results indicated that MF-CatBoost-LightGBM was the best model for peanut seed vigor classification, and the accuracy result was 90.83%. MSC-CatBoost-PLSR was the optimal regression model of superoxide dismutase activity value. The results show that the R2 was 0.9787 and the RMSE value was 0.0566. The results suggested that hyperspectral technology could correlate the external manifestation of effective peanut seed vigor.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::21a6fa9a7ece18e787bc070db7db8901Test
https://doi.org/10.3389/fpls.2023.1127108Test

المؤلفون: Likang Ma, Tianci Chai, Xiaojie Yang, Xinghui Zhuang, Qingsong Wu, Liangwan Chen, Zhihuang Qiu

المصدر: Frontiers in Cardiovascular Medicine. 9

مصطلحات موضوعية: Cardiology and Cardiovascular Medicine

الوصف: BackgroundAcute type A aortic dissections (ATAAD) pose a challenge to surgeons due to high mortality, and decision making regarding the appropriate procedure is controversial. This study compared the outcomes of hemiarch and total arch replacement for ATAAD.MethodsThe PubMed, Web of Science, Embase and Cochrane databases were searched for comparative studies on hemiarch versus total arch replacement that were published before May 1, 2022.ResultsWe included 23 observational studies with a total of 4,576 patients. Combined data analysis showed that early mortality (RR = 0.82; 95% CI: 0.70–0.97; P = 0.02), incidence of postoperative permanent neurological dysfunction (RR = 0.72; 95%CI:0.54∼0.94; P = 0.02), and incidence of renal failure and dialysis (RR = 0.82; 95%CI:0.71∼0.96; P = 0.01) were all lower for hemiarch than for total arch replacement. However, hemiarch replacement had a higher rate of late mortality (RR = 1.37; 95%CI:1.10∼1.71; P = 0.005). There were no statistically significant differences between the two groups in terms of re-operation for bleeding, aortic re-operation, or postoperative pneumonia.ConclusionIn this study, hemiarch replacement had better early outcomes but a higher late mortality rate than total arch replacement. Decisions regarding the extent of arch repair should be made according to location and extent of ATAAD and the experience of surgeons to ensure the most favorable prognosis.Systematic review registration:[INPLASY.COM], identifier [INPLASY202250088].

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bf3781fe038419173667f2a127a6b59Test

المؤلفون: Yuyao, Gao, Yanli, Yao, Xin, Chen, Jianyang, Wu, Qingsong, Wu, Shenghui, Liu, Anping, Guo, Xiumei, Zhang

المصدر: Frontiers in Plant Science. 13

مصطلحات موضوعية: Plant Science

الوصف: Pineapple (Ananas comosus L.) is one of the most valuable subtropical fruit crop in the world. The sweet-acidic taste of the pineapple fruits is a major contributor to the characteristic of fruit quality, but its formation mechanism remains elusive. Here, targeted metabolomic and transcriptomic analyses were performed during the fruit developmental stages in two pineapple cultivars (“Comte de Paris” and “MD-2”) to gain a global view of the metabolism and transport pathways involved in sugar and organic acid accumulation. Assessment of the levels of different sugar and acid components during fruit development revealed that the predominant sugar and organic acid in mature fruits of both cultivars was sucrose and citric acid, respectively. Weighted gene coexpression network analysis of metabolic phenotypes and gene expression profiling enabled the identification of 21 genes associated with sucrose accumulation and 19 genes associated with citric acid accumulation. The coordinated interaction of the 21 genes correlated with sucrose irreversible hydrolysis, resynthesis, and transport could be responsible for sucrose accumulation in pineapple fruit. In addition, citric acid accumulation might be controlled by the coordinated interaction of the pyruvate-to-acetyl-CoA-to-citrate pathway, gamma-aminobutyric acid pathway, and tonoplast proton pumps in pineapple. These results provide deep insights into the metabolic regulation of sweetness and acidity in pineapple.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cfa662169650399c45662baeacdaa22Test
https://doi.org/10.3389/fpls.2022.971506Test

المؤلفون: Gangqiang, Lin, Xueqian, Xu, Xiaoqian, Luan, Huihua, Qiu, Shengfang, Shao, Qingsong, Wu, Wei, Xu, Guiqian, Huang, Jincai, He, Liang, Feng

المصدر: Frontiers in Neurology. 13

مصطلحات موضوعية: Neurology, Neurology (clinical)

الوصف: PurposeGlobally, intracerebral hemorrhage (ICH) is a common cerebrovascular disease. At the beginning of 2020, due to the coronavirus disease 2019 (COVID-19) pandemic, the allocation of medical resources and the patient treatment and referrals were affected to varying degrees. We aimed to determine the characteristics and prognoses and associated factors of patients with ICH.Patients and MethodsThe baseline demographic characteristics and ICH outcomes were compared between patients diagnosed with ICH between January and June 2020 (the 2020 group) and between January and June 2019 (the 2019 group). COVID-19 positive patients were excluded from the study. A 30-day data from patients in the 2019 and 2020 groups were analyzed to create survival curves for these patients. We also used regression models to identify the significant determinants of poor outcomes [modified Rankin score (mRS): 3–6] and death.ResultsThe number of patients diagnosed with ICH was slightly lower in the 2020 group (n = 707) than in the 2019 group (n = 719). During the lockdown period (February 2020), the admission rates for ICH decreased greatly by 35.1%. The distribution of the patients' domicile (P = 0.002) and the mRS (P < 0.001) differed significantly between the years. The survival curve revealed that the highest risk of death was in the acute stage (especially in the first 5 days) of ICH. At 30 days, mortality was 19.8% in February 2019 and 29.4% in February 2020 (P = 0.119). Multivariate analysis revealed age, baseline mRS, postoperative complications, massive brainstem hemorrhage, and creatinine as factors significantly associated with poor outcomes and death following ICH. Neurosurgery and massive supratentorial hemorrhage were only correlated with the risk of death.ConclusionDuring the lockdown period, the COVID-19 pandemic caused a decrease in the admission rates and severe conditions at admission due to strict traffic constraints for infection control. This led to high mortality and disability in patients with ICH. It is necessary to ensure an effective green channel and allocate adequate medical resources for patients to receive timely treatment and neurosurgery.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4453aa50a93ddc53c35333eb4be1c2fTest
https://doi.org/10.3389/fneur.2022.873061Test